Category: 8. Health

  • Primary pelvic retroperitoneal smooth muscle tumor with cystic degeneration: a case report and review of the literature | BMC Women’s Health

    Primary pelvic retroperitoneal smooth muscle tumor with cystic degeneration: a case report and review of the literature | BMC Women’s Health

    A 34-year-old woman of childbearing age came to the local hospital for her annual well-woman visit, and an ultrasound revealed a cystic solid pelvic mass. The patient was subsequently admitted to our hospital. The patient exhibited no symptoms indicative of abdominal discomfort, vaginal bleeding, change in bowel habits, or change in urination. The absence of clinical manifestations precluded determination of its onset time or progression timeline. Moreover, she had undergone one cesarean section and had no history of uterine fibroids. Furthermore, the patient reported no prior use of hormonal treatments or oral contraceptive pills. Additionally, she had no significant history or family history of hypertension or diabetes mellitus, and no history of smoking or alcohol consumption. Her vital signs were within normal limits. A specialized gynecological examination was conducted, during which the uterus was found to be anteriorly positioned, of normal size and shape, and free of tenderness. Additionally, no palpable mass was identified in the left adnexal region, and no tenderness was observed. On the right side, a mass of approximately 5.0 × 6.0 cm was detected in the adnexal region, exhibiting distinct boundaries, a smooth surface, and no evidence of pressure pain.

    The blood routine, blood coagulation, liver and kidney function, electrolytes, and glucose levels were within the normal limits. The tumor marker alpha-fetoprotein (AFP) was elevated at 10.90ng/ml. The remaining tumor markers, carcinoembryonic antigen (CEA), carcinoma antigen (CA) 15 − 3, CA 19 − 9, and CA 12 − 5, were within the normal range.

    Transvaginal ultrasound demonstrated a cystic solid echogenic mass of approximately 5.2 × 4.5 × 5.7 cm in the right adnexal region with well-defined borders and peripheral blood flow signal in the form of punctate streaks. The bilateral ovaries were visible, and the uterus appeared normal. Given concerns for ovarian malignancy, contrast-enhanced pelvic CT was performed, demonstrating an irregular cystic solid hypodense shadow of about 6.2 × 5.3 cm in the right adnexal area, with a slightly unclear border. Figure 1(A) displays the arterial phase, while Fig. 1(B) indicates that the mass has sufficient blood supply. Contrast enhancement revealed mild, uniform enhancement of the cystic wall and inner solid components, without nodular hyperenhancement. The intracystic fluid region was not of homogeneous density. Rectal walls were normal, with no pelvic lymphadenopathy. Chest CT prior to surgery was unremarkable.

    Fig. 1

    Computed tomography (CT): Shows a cystic solid hypodense shadow of about 6.2 × 5.3 cm in diameter with a slightly poorly defined border. (A) CT image after contrast injection; (B) Rich blood supply to the mass

    The patient was a 34-year-old female of childbearing age with a well-defined cystic solid pelvic mass of unknown nature, indications for surgery, and the patient’s desire for surgery. There were no contraindications to surgery, adequate preoperative preparation, and laparoscopic exploration was performed. Intraoperatively, a small amount of yellowish fluid was visible in the pelvis. The anterior position, morphology, and size of the uterus were normal, and no masses were seen in the bilateral adnexa. The peritoneum was intact, and a retroperitoneal mass of about 5.0 × 6.0 cm in size with irregular morphology and a smooth surface was observed on the surface of the right retroperitoneal iliac vessels and ureter. Additionally, anomalous vessels were identified (Fig. 2(A)). A thorough examination of the pelvic, abdominal, and bowel walls did not reveal any evidence of abnormal nodules. The tumor is located on the surface of the ureter and iliac vessels, necessitating meticulous separation to avoid damage. Therefore, we opened the peritoneum close to the root of the tumor, and the tumor margins were clear. The specimen was then removed in a specimen bag (Fig. 2(B)). Intraoperative cytopathology suggested that the tumor was a spindle cell tumor, which was a smooth muscle tumor with cystic degeneration. Macroscopically, the tumor was a 5.0 × 6.0 cm cystic-solid mass with swirling structures visible in profile. In addition, a cystic cavity with clear fluid was observed (Fig. 2(C)). Microscopically, the lesion consisted of spindle-shaped smooth muscle cells with bluntly rounded nuclei at both ends, uniformly fine chromatin, and no apparent anisotropy or nuclear division. Some areas showed cystic degeneration and the tumor cells’ fascicular arrangement. This finding confirmed the intraoperative frozen section diagnosis of a spindle cell tumor, a smooth muscle tumor with cystic changes(Fig. 3(A)). Moreover, the excised margins of the mass were free of tumor cells. Immunohistochemical staining showed tumor cells positive for desmin (Fig. 3(B)), smooth muscle actin, estrogen receptor (ER), and progesterone receptor(PR). However, they were negative for the cluster of differentiation (CD) 34 and CD117, findings consistent with a diagnosis of pelvic retroperitoneal leiomyoma. Notably, we also observed the occurrence of cystic degeneration in tumor cells(Fig. 3(C)).

    Fig. 2
    figure 2

    (A) Intraoperative picture showing blood-rich round mass with a smooth surface. (B) The mass traveled on the surface of the right iliac vessels and the right ureter, as seen after complete excision of the mass. (C) The tumor contains a cystic cavity filled with clear fluid, and the cut surface reveals a swirling structure

    Fig. 3
    figure 3

    (A) Microscopic examination. Hematoxylin and eosin (HE) staining showed spindle-shaped tumor cells growing in loose bundles against a background of abundant vitreous stroma, cystic degeneration were observed, and no mitoses. (HE,40X). (B) Microscopic examination. The tumor revealed strong positive staining for desmin (100X). (C) Microscopic examination. The tumor showed signs of cystic degeneration (100x)

    The patient recovered uneventfully and was discharged on postoperative day 4. Therefore, the patient is required to undergo gynaecological ultrasound examinations at the outpatient clinic on a 3 to 6-month basis post-surgery. No evidence of tumor recurrence was observed on the ultrasound six months after surgery. However, it is important to note that regular follow-up is still necessary.

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  • CT colonography outperforms stool DNA screening for colorectal cancer  Labmate Online

    CT colonography outperforms stool DNA screening for colorectal cancer  Labmate Online


    Computed tomography (CT) colonography has been shown to be both cheaper and clinically more effective than multitarget stool DNA (mt-sDNA) testing for population-level colorectal cancer screening, according to peer-reviewed research published in the journal of the Radiological Society of North America.

    Colorectal cancer is the world’s second leading cause of cancer-related mortality. Routine examination of the colon and rectum enables early removal of precancerous polyps, thereby reducing the need for late-stage therapies and their associated higher costs and greater risk to patients. In response to rising incidence among younger adults, the United States Preventive Services Task Force, and several professional bodies, have now recommended that screening programmes commence at 45 years of age.

    “Conventional optical colonoscopy remains the dominant screening test in the United States, yet it is the most expensive and invasive option,” said lead author Dr Perry J. Pickhardt, John R. Cameron Professor of Radiology and Medical Physics at the University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

    Dr. Perry emphasised that recent Medicare coverage expansions have improved access to less invasive modalities, including mt-sDNA testing – which analyses stool for cancer-specific biomarkers – and CT colonography, which employs imaging technology to render non-invasive visualisation of the colon polyps and tumours.

    Using a Markov model, the investigators simulated colorectal disease progression in 10,000 individuals aged 45 at baseline, assuming perfect adherence to recommended screening and follow-up until 75 years. Without screening, 7.5 per cent of the cohort developed colorectal cancer.

    Both strategies substantially lowered disease incidence versus no screening, but CT colonography achieved a 70–75 per cent reduction, compared with 59 per cent for mt-sDNA. Cost-effectiveness was measured in quality-adjusted life-years (QALYs). Mt-sDNA yielded an incremental cost of nearly US$9,000 per QALY gained, well below the accepted US$100,000 threshold; CT colonography, by contrast, was cost-saving relative to no screening.

    Because advanced polyps ≥10 mm pose the greatest malignant risk, the authors evaluated a hybrid CT-based pathway: three-year CT colonography surveillance for small polyps (6–9 mm) and colonoscopic referral only for lesions ≥10 mm. This approach offered the best balance of cost and clinical benefit. Referring all polyps ≥6 mm for colonoscopy was not cost-effective, owing to higher procedural expenses and minimal QALY gains.

    “Among safe, minimally invasive options, CT colonography prevents and detects colorectal cancer more effectively – and at lower overall cost – than stool DNA testing,” Dr Pickhardt said.

    “Furthermore, CT colonography can simultaneously screen for extracolonic conditions such as osteoporosis and cardiovascular disease.”

    The findings bolster the case for wider adoption of CT colonography within national screening programmes, particularly where resource allocation and patient comfort are paramount.


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  • The effect of multimodal nutrition intervention on glucose and lipid parameters of Arfa Iron and Steel Company workers | BMC Nutrition

    The effect of multimodal nutrition intervention on glucose and lipid parameters of Arfa Iron and Steel Company workers | BMC Nutrition

    Workers spend long hours at the workplace, limiting opportunities to learn about healthy lifestyles and nutrition. A multimodal nutrition intervention can thus improve their health factors. This study showed that after 6 months, mean weight, BMI, total cholesterol, LDL cholesterol, triglycerides, systolic and diastolic blood pressure significantly decreased, while HDL cholesterol increased (p < 0.001). However, fasting blood sugar and liver enzymes did not change significantly.

    In line with these results, Hassani et al. reported significant reduction in weight and BMI after three months of nutritional education among workers with dyslipidemia, though their intervention was shorter and limited to education [20]. A systematic review of 23 studies, confirmed the efficacy of workplace weight management programs. It is noteworthy that a majority of the studies reviewed predominantly originated from North America and Europe, reflecting a concentrated geographic focus on these continents. [21]. Also a meta-analysis study investigated the effect of dietary interventions in the workplace on obese and overweight employees, the results of which indicated a significant reduction in weight, BMI, and total cholesterol and a non-significant reduction in systolic and diastolic blood pressure [22]. Another study showed that the worksite wellness program improves blood pressure and total cholesterol control, but has no improvement in weight control [11]. In another study involving a 4-month nutritional education intervention with 75 male workers, the findings indicated a significant reduction in fasting blood glucose levels, total cholesterol, and LDL cholesterol after the intervention was implemented [17]. In their assessment of nutritional interventions conducted in the workplace, Steyn and colleagues concluded that interventions focusing on altering nutritional knowledge and dietary behaviors lead to improved health and employee behaviors [23]. On the other hand, in the study of Song et al., although the multicomponent workplace wellness program improved some behavioral factors, no significant changes were observed in clinical factors including blood glucose levels, blood cholesterol levels, blood pressure, and BMI [24]. Like the present study, the results of other studies show the effect of these interventions on the mentioned factors, although some contradictions in the results can be explained by the difference in the methods of the interventions, the duration of studies and the number of participants.

    Contrary to expectations, no significant decrease in fasting blood sugar of the participants was observed in the current study. It seems that the high impact of food intake the day before the blood test on this factor can justify it. If the amount of hemoglobin A1 C, which is less influenced by people’s recent food intake, was measured, more complete results would be obtained.

    One of the aspects of our intervention was nutrition education for the workers. Nutrition education interventions have been shown to increase nutritional awareness among workers in various studies. Workplace-based nutrition education, such as integrating nutrition education, improving factory canteen services, and enhancing health services, effectively enhances workers’knowledge and practices of balanced nutrition and healthy habits [15]. Nutrition counseling was one of the other aspects of the present study. Workplace nutritional interventions, including counseling by Registered Dietitian Nutritionists (RDNs), have been associated with positive impacts on dietary habits and weight loss among employees [25]. Additionally, nutritional counseling has been found to contribute to reductions in anthropometric measurements, glycemia indices, lipid profiles, and insulin resistance, ultimately improving overall health indicators [26]. Another of our interventions was the nutritional improvement of the company’s food menu. Modifying the factory food menu can significantly impact workers’health factors [27]. Implementing nutritional interventions and changes in the food service system can lead to improved weight management among staff, as evidenced by a decrease in BMI and weight in the intervention group [28]. Additionally, the satisfaction level with the food service increased following menu modifications, indicating a positive impact on workers’dietary habits and overall well-being [29]. Therefore, optimizing the factory food menu through nutritional interventions and system-level modifications can contribute to enhancing workers’health and well-being, ultimately benefiting both employees and employers.

    The current study has several advantages. Unlike many studies in this field, which limit themselves to one-dimensional intervention, in this study, we tried to achieve the maximum effect by using education, counseling, and diet changes by creating a multimodal intervention. Providing nutrition education to the workers’families was also one of the strengths of this study, which, considering the important role of the family in the workers’lifestyle, helped them to comply more with the intervention. In the present study, all educational programs, consultations, interviews, and measurements were done by a trained physician and registered dietitian. Also, all the biochemical parameters were measured by trusted laboratories and checked again by the physician. The type of this study is prospective follow-up and has an acceptable sample size compared to similar studies in this field. The study maintained a high retention rate, with only 4 out of 1097 participants (0.36%) excluded due to cancer diagnosis and none due to leaving employment, both unrelated to the nutritional intervention, suggesting minimal risk of attrition bias. However, this investigation had several limitations. The absence of a control group in this study is one of these issues which prevents definitive attribution of all observed changes to the nutritional intervention alone. This was unavoidable due to ethical and practical considerations, and historical control data from similar populations were unavailable. To address this, we calculated effect sizes (Cohen’s d) for all continuous outcomes, which ranged from small to medium (Tables 3 and 4). These consistent and meaningful effect sizes suggest that the observed improvements in anthropometric and laboratory parameters are unlikely to result solely from natural variation or unmeasured confounders, supporting the intervention’s effectiveness. Nevertheless, without a control group, alternative explanations (e.g., temporal trends) cannot be fully ruled out, and future studies with comparative designs could further confirm these findings. Furthermore, the lack of evaluation of participants’dietary intake and their nutritional knowledge before and after the intervention is acknowledged. While our study did not include formal assessments of dietary changes using methods such as food frequency questionnaires or dietary recall, this limitation impacts the direct correlation between observed health improvements and specific dietary modifications. To enhance future research in this area, incorporating comprehensive dietary assessments like food frequency questionnaires or dietary recall methods is recommended. A notable limitation of our study is the absence of hemoglobin A1 C (HbA1c) measurements, which could have provided valuable insights into long-term glycemic control. Unfortunately, due to resource constraints, we were unable to assess HbA1c levels in this study. we recommend that future studies prioritize the inclusion of HbA1c measurements to enhance the depth of analysis and strengthen the robustness of conclusions drawn regarding glycemic status. The study focuses on male workers (> 99%) due the factory’s predominantly male workforce, not intentional bias,, potentially limiting the generalizability of the findings to female populations. It is important to acknowledge this demographic imbalance as a notable limitation. Future research efforts could aim to include a more diverse sample to enhance the overall applicability and relevance of the study’s outcomes across different gender groups. A limitation of this study is the lack of adjustment for potential time-varying confounders. However, given the uniform application of the nutritional intervention across the entire population and the absence of reported external influences, we believe the impact of such factors was minimal.

    The findings of this study show the significant effect of multimodal nutrition intervention on the improvement of anthropometric indicators and lipid profiles of Arfa Iron and Steel Company workers. These results suggest that implementing similar interventions (encompassing nutritional education, modification of the factory dining menu to include healthier options, healthy cooking method education, and nutritional counseling) in similar industrial settings may have the potential to improve the overall health and well-being of workers, potentially enhancing their productivity levels. The positive outcomes observed in this study highlight the feasibility of such interventions as a health promotion strategy within comparable occupational contexts. However, given the absence of a control group and other methodological limitations, broader application to diverse workplace environments should be approached cautiously. Further research incorporating control groups and extended follow-up periods is essential to validate these findings and assess the sustained effectiveness of such interventions across varying work settings.

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  • Brazil implements Go.Data for enhanced contact tracing

    Brazil implements Go.Data for enhanced contact tracing

    Training sessions on Go.Data for health professionals from various states of Brazil to support the response to outbreaks and health emergencies [2022]. © Pan American Health Organization, Brazil.

    Brazil, a vast country covering approximately 8.5 million km², is divided into 27 states and 5570 municipalities across five regions: North, Northeast, Central-West, Southeast, and South. These regions are home to about 212 million people. Given this extensive territory, implementing new technologies and innovations to ensure quality healthcare access throughout the country is a significant challenge. 

    The COVID-19 pandemic exposed several gaps in the public health system, particularly the need for an effective contact tracing strategy. In Brazil, there were no specific tools available for this purpose, prompting many localities to rely on monitoring spreadsheets or develop their own strategies. 

    In response, the first implementations of the Go.Data tool began in August 2021. Developed by the World Health Organization (WHO) in collaboration with partners at the Global Alert and Response Network (GOARN), Go.Data is a software designed to support outbreak response, particularly contact tracing efforts. It enables users to identify exposed individuals, monitor their health status, and visualize transmission chains. Two municipalities stood out in their use of the tool, applying it to investigate contacts in various situations, including within educational institutions. In these instances, more than 30 000 contacts were recorded. The implementation of the tool facilitated standardized contact tracing, allowing multiple professionals to collaborate concurrently. Furthermore, it supported the real-time creation of transmission chains, thereby offering crucial support in informed decision-making. 

    Following the success of various initiatives and the emergence of mpox in Brazil in 2022, efforts were made to implement state-level servers with support from the National Council of Health Secretaries. As a result, approximately 15 states installed the tool within their infrastructures, expanding its use across different contexts. Subsequently, the Ministry of Health also adopted the tool, integrating it into its infrastructure while complying with all necessary security protocols and requirements. This marked a significant milestone for Brazil, enabling all states to access the tool. 

    In 2023, once the server was established at the Ministry of Health, Go.Data was utilized to monitor individuals exposed to animals with avian influenza. During this process, a centralized server was recommended to consolidate information, allowing 15 states to access the same server. This model represented progress in hierarchical access management and the geographic distribution of information, thereby strengthening epidemiological surveillance in the country. 

    Building on this experience, since 2024, the Ministry of Health, in partnership with the states, has been working to structure the national adoption of the tool in the context of measles and other diseases. To support this effort, two focal points have been trained in each state to ensure a timely response to epidemiological investigations in November 2023 by Pan American Health Organization (WHO Regional Office for the Americas or PAHO) and the Ministry of Health. 

    Epidemiology team from the state of Rio de Janeiro using Go.Data in response to an outbreakEpidemiology team from the state of Rio de Janeiro using Go.Data in response to an outbreak [2025]. © Pan American Health Organization, Brazil.

    The implementation of Go.Data has streamlined contact investigations by providing a single online platform with regional access permissions, which enhances tracking and monitoring efforts. Brazil has successfully integrated this tool into its official case notification system, ensuring alignment with national guidelines. Furthermore, Go.Data is equipped with integrations for Power BI and Shiny, which improve data analysis and visualization capabilities. The development of guides and training courses focused on operational procedures has standardized processes and strengthened user competencies. 

    Felipe Lopes Vasconcelos, a national consultant for PAHO, reflects on the tool’s progress in the country. “We had the opportunity to understand the various realities at the state level in Brazil. Before introducing Go.Data, contact tracing was slow and lacked standardization. Today, we have already seen significant advances at different levels, and I believe we are moving toward a more timely response to outbreaks,” Felipe says.  

    The technical support provided by the WHO has been crucial in this process. Since 2020, the WHO team has offered continuous assistance, addressing all questions, needs, and suggestions from Brazil, which has contributed to the tool’s development over the years. 

     

     

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  • An HPLC 2025 Video Interview with Torgny Fornstedt

    An HPLC 2025 Video Interview with Torgny Fornstedt

    Professor Fornstedt is internationally recognized for his pioneering contributions to the field of separation science, particularly in advancing our understanding of liquid chromatography theory and its practical applications in complex molecular analysis.

    With the growing demand for precision in therapeutic development—especially in the realm of oligonucleotide-based drugs—analytical scientists face mounting challenges in resolving and characterizing structurally similar and high-mass molecules. In Part 1, Professor Fornstedt shared his insights on how modern chromatographic techniques are evolving to address these obstacle of analysing, oligonucleotides.

    In part two of this i video interview Torgny answered the following questions:

    • How do small interfering ribonucleic acidsd (siRNAs) separations differ from antisense oligonucleotides (ASOs), and what analytical adjustments are typically needed?

    • How are digital modeling or machine learning tools helping chromatographers?

    Biography
    Torgny Fornstedt is a professor at Karlstad University in Sweden. His research combines theory and practice to understand molecular interactions in separation media, focusing on reliable analysis and purification of drug molecules using high-pressure liquid and supercritical fluid systems. Recent work with industry partners tar- gets therapeutic oligonucleotides (ASOs, siRNA) and digital technology applications for quality assurance of next-generation drugs.

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  • Changes in Respiratory Function Before and After Cardiopulmonary Bypas

    Changes in Respiratory Function Before and After Cardiopulmonary Bypas

    Introduction

    With continuous advancements in cardiac surgical techniques in recent years, cardiopulmonary bypass (CPB) has become a fundamental approach for managing complex congenital heart diseases (CHD). However, CPB is associated with complex alterations in cardiopulmonary functions and may cause structural and functional damage to the pulmonary vascular endothelium, potentially resulting in pulmonary hypertension, increased pulmonary vascular resistance, and other complications.1 This is particularly significant in infants and children with CHD, whose respiratory systems have not yet fully matured, amplifying the impact of CPB on lung function.2

    Given the insufficient research on changes in respiratory function before and after CPB in pediatric patients with CHD with different shunt types, and considering that distinct pulmonary pathological changes have been noted in CHDs with different types of shunts,3 this study retrospectively analyzed changes in respiratory function before and after CPB in children with CHD admitted to a hospital between January 2022 and December 2023, stratified by shunt type (increased vs decreased pulmonary blood flow), to provide evidence for optimizing perioperative respiratory management.

    Study Participants and Methods

    General Characteristics of Study Participants

    With approval from the Ethics Committee of the medical institution, a retrospective analysis was conducted on the clinical data of 60 pediatric patients with CHD who were admitted between January 2022 and December 2023. Patients were consecutively recruited based on predefined inclusion/exclusion during the study period criteria. The patients were divided into Group A (increased pulmonary blood flow, n = 30) and Group B (decreased pulmonary blood flow, n = 30) based on their shunt types. Group A consisted of 12 male and 18 female pediatric patients, while Group B had 16 male and 14 female pediatric patients.

    Inclusion criteria: (1) aged under 12 years; (2) diagnosis of CHD was confirmed by echocardiography or other imaging modalities, requiring cardiac surgery under CPB; and (3) signed informed consent was obtained from parents of the patients.

    Exclusion criteria: (1) a history of previous cardiac surgery; (2) congenital immunodeficiency; (3) diagnosed with a genetic disease known to affect the respiratory system; and (4) allergy to drugs or materials used in CPB.

    Methods

    A standardized anesthesia protocol was used all pediatric patients in both groups. General tracheal intubation combined anesthesia was used, with similar agents administered for both induction and maintenance. Depending on the severity of the malformation, CPB under mild hypothermia was used for mild malformations, while CPB under deep hypothermia was utilized for severe malformations. Following the procedure, the pediatric patients were transferred to the intensive care unit (ICU) once hemodynamic parameters were stabilized. The patients received similar medication regimens before and after operation, thereby excluding variability caused by differences in drug administration.

    Observation Indexes

    Differences in general characteristics of patients, external diameters of the pulmonary artery and aorta, and respiratory mechanics were assessed before and 24 hours after CPB drainage. General characteristics included age, body weight, duration of the bypass procedure, and findings from X-ray examinations. Respiratory mechanics parameters, including peak airway pressure, plateau airway pressure, inspiratory resistance, expiratory resistance, and lung-thorax compliance, were measured before and after CPB drainage using a pulmonary mechanics monitor. Measurements were taken during mechanical ventilation under standardized ventilator settings.

    Statistical Analysis

    Sample size was determined based on previous literature and preliminary data. The research data were analyzed using SPSS 22.0 statistical software. Measurement data were expressed as mean ± standard deviation () and analyzed using t-tests. Categorical data were presented as frequency and percentage (n,%) and analyzed using χ² tests. A p-value < 0.05 was considered statistically significant.

    Results

    Comparison of General Characteristics Between the Two Groups

    As shown in Table 1, there were no statistically significant differences (p > 0.05) between the two groups of pediatric patients in terms of age, body weight, duration of the bypass procedure, or X-ray examination results.

    Table 1 Comparison of General Characteristics Between the Two Groups of Pediatric Patients ()

    Comparison of the Diameters of the Pulmonary Artery and Aorta Between the Two Groups

    As presented in Table 2, the external diameter of the pulmonary artery among patients in Group A was significantly larger than that in Group B (2.50±0.38 vs 1.31±0.29 cm, p < 0.05), while the external diameter of the aorta was significantly smaller compared to Group B (1.60±0.26 vs 1.91±0.37 cm, p < 0.05).

    Table 2 Comparison of the Diameters of Pulmonary Artery and Aorta Between the Two Groups of Pediatric Patients ()

    Comparison of Respiratory Mechanics Parameters Before and After CPB Drainage Between the Two Groups

    As indicated in Table 3, significant differences were observed in various respiratory mechanics indexes before and after CPB drainage within and between the two groups, including peak airway pressure, plateau airway pressure, inspiratory resistance, expiratory resistance, and lung-thorax compliance (p < 0.05).

    Table 3 Comparison of Respiratory Mechanics Before and After CPB Drainage Between the Two Groups of Pediatric Patients ()

    Discussion

    CHD is one of the most common congenital anomalies in neonates, with an incidence rate of approximately 0.8 to 1.2%.4 CHD can be categorized into various types based on its complexity, necessitating surgical intervention in early childhood in some cases to improve physiological function and quality of life. CPB is a commonly employed technique in surgical management that can temporarily substitute cardiopulmonary function and provide essential conditions for the procedure.5 However, the use of CPB induces a series of physiological changes in pediatric patients, particularly affecting respiratory function. These changes may vary considerably among patients with different types of CHD.6,7 In this study, there were no statistically significant differences between the two groups of pediatric patients with regard to age, body weight, duration of the bypass procedure, and X-ray examination results (p > 0.05). However, the external diameter of the pulmonary artery among patients in Group A was significantly larger than that in Group B, while the external diameter of the aorta was significantly smaller compared to Group B (p < 0.05).

    CHD is typically classified into three types based on the direction and mechanism of blood flow: left-to-right shunt, right-to-left shunt, and non-shunt. CHD with a left-to-right shunt is associated with increased pulmonary blood flow, whereas CHD with a right-to-left shunt results in decreased pulmonary blood flow. An increase in pulmonary blood flow can cause elevated pulmonary artery pressure, and prolonged pulmonary hypertension may induce structural changes in the pulmonary artery wall, including thickening and dilation.8 Conversely, decreased pulmonary blood flow may result in lower pulmonary artery pressure. Since the pulmonary artery does require dilation to accommodate high blood flow under these conditions, a significant increase in its external diameter is typically not observed.9

    From additional analyses in the current study, statistically significant differences were noted in respiratory mechanics indexes, including peak airway pressure, plateau airway pressure, inspiratory resistance, expiratory resistance, and lung-thorax compliance, both before and after CPB drainage within and between the two groups of pediatric patients (p < 0.05). These variations were closely associated with systemic and pulmonary pathophysiological changes induced by CPB. During CPB, blood comes into contact with non-endothelial surfaces, potentially activating the complement system, leukocytes, and other inflammatory mediators. These inflammatory mediators subsequently enter the pulmonary tissue via the bloodstream, triggering pulmonary inflammation and leading to pulmonary edema. The formation of pulmonary edema increases the elastic resistance of lung tissue, resulting in elevated peak airway pressure and plateau airway pressure, along with decreased lung-thorax compliance.10 Additionally, CPB has been reported to affect pulmonary surfactant function and pulmonary vascular resistance, further influencing respiratory mechanics indexes in pediatric patients.11 It has also been indicated in previous studies12,13 that the decrease in lung-thorax compliance after CPB is primarily attributable to pulmonary edema, atelectasis, and increased elastic resistance of lung tissue—all of which can also contribute to the overall increase in peak airway pressure and plateau airway pressure. Furthermore, respiratory mechanics indexes can be influenced to a certain extent by adjustments in mechanical ventilation parameters. These findings highlight the need for clinicians to implement more refined intraoperative and postoperative management strategies to optimize pulmonary function and improve overall prognosis in pediatric patients undergoing CPB.

    This study has several limitations. As a retrospective, single-center study with a relatively small sample size, its findings may not be widely generalizable. Additionally, only one postoperative time point (24 hours after CPB) was analyzed, which cannot reflect the dynamic changes in respiratory function over time. Important confounding factors such as postoperative complications were not accounted for. Future studies using a prospective, multicenter design with larger cohorts and include multiple postoperative time points are needed. Incorporating additional clinical parameters such long-term respiratory outcomes may further inform individualized respiratory management strategies in children with congenital heart disease undergoing CPB.

    In summary, in this study on pediatric patients with CHD, it was found that patients with different types of shunts exhibited significant differences in the external diameter of the pulmonary artery and aorta. Dynamic monitoring of respiratory mechanics indexes before and after CPB is essential in clinical respiratory management to promptly assess changes in pulmonary function and adjust respiratory support strategies accordingly.

    Data Availability Statement

    All data generated or analysed during this study are included in this article. Further enquiries can be directed to the corresponding author.

    Ethics Approval and Consent to Participate

    This study was conducted with approval from the Ethics Committee of Shanxi Children’s Hospital, Shanxi Women and Children Hospital.(Approval number: IRB-KYYN-2021-005) This study was conducted in accordance with the declaration of Helsinki. Written informed consent was obtained from all participants.

    Consent for Publication

    All patient guardians signed a document of informed consent.

    Acknowledgments

    We would like to acknowledge the hard and dedicated work of all the staff that implemented the intervention and evaluation components of the study.

    Funding

    No external funding received to conduct this study.

    Disclosure

    The authors declare that they have no competing interests in this work.

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    2. Shibata T, Kondo M, Fukushima Y, et al. Epilepsy in children with congenital heart disease: risk factors and characteristic presentations. Pediatric Neurol. 2023;32(6):918–924.

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    9. Puwei S, Siyu M, ZhuoGa D. et al. The potential value of cuprotosis in myocardial immune infiltration that occurs in pediatric congenital heart disease in response to surgery with cardiopulmonary bypass. Immun Inflamm Dis. 2023;11(3):795–803. doi:10.1002/iid3.795

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    11. Qian X, Chen Y, Liang W, Song S, Li J, Dou L. Setup of extracorporeal membrane oxygenation from cardiopulmonary bypass in infants undergoing cardiac surgery. Chin J Pedia Surg. 2024;45(3):199–202.

    12. Jiang L, Wang W, Yang Y, et al. Effect of postoperative cardiopulmonary resuscitation on the prognosis of extracorporeal membrane oxygenation in children with congenital heart disease. Chin J ExtracorpCircul. 2021;19(5):270–274.

    13. Kong Y, Zhang M, Chen X, Wang L, Xu Z, Pan Y. Changes of cytokines after cardiopulmonary bypass in children with congenital heart disease. Chin Pediatric Emerg Med. 2022;29(5):359–362.

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  • Probiotics improve ovarian damage in premature menopausal mice

    Probiotics improve ovarian damage in premature menopausal mice

    Can probiotics reverse early ovarian decline? A new study in mice suggests they might restore hormonal balance and microbial health after chemotherapy-induced damage.

    Study: Probiotics may improve vaginal microbiota, metabolic disorders and ovarian function-related markers by modulating gut microbiota in POI mice. Image credit: ALIOUI MA/Shutterstock.com

    A study conducted by Nanjing Medical University researchers revealed that probiotics can potentially improve ovarian functions and gut and vaginal microbiota compositions in mice with premature ovarian insufficiency, a condition characterized by early deterioration of ovarian function. The study was published in BMC Microbiology

    Background

    Premature ovarian insufficiency (POI) is a condition of premature menopause, causing deterioration of ovarian functions before the age of 40 years. The condition is characterized by abnormal menstruation and hormonal imbalance.

    Women with POI experience a range of short-term and long-term health complications, which collectively affect their mental health and overall quality of life. Apart from increasing the risk of osteoporosis, cardiovascular disease, and cognitive impairment, POI can potentially affect fertility.

    Existing evidence on the pathophysiology of POI indicates that the condition can lead to changes in gut and vaginal microbiota compositions, and that these changes are associated with hormonal imbalance observed in women with POI.

    Given the potential link between microbial composition and POI pathophysiology, researchers at the Nanjing Medical University, China, conducted this study in a chemotherapy-induced mouse model of POI to investigate the effect of probiotics on the composition of gut and vaginal microbiota, markers of ovarian function, and markers of lipid metabolism.

    Probiotics are a class of microorganisms that promote the growth of beneficial bacterial populations and suppress the growth of harmful bacteria. This leads to improvements in gut microbiota and a range of physiological processes in the host’s body. 

    The study

    The researchers generated a mouse model of POI by injecting cyclophosphamide, a chemotherapeutic drug that damages ovarian follicles. They randomly divided these mice into the POI and probiotic-treated POI groups and used healthy mice as controls.

    The mice in the treatment group received a mixture of 12 probiotics for 28 consecutive days, while the control and the POI group mice received normal saline for the same duration.

    Blood samples collected from the mice following treatment completion were analyzed for anti-Müllerian hormone (a crucial hormone for reproductive development) and sex hormone levels, the number of follicles, and serum levels of total cholesterol and triglycerides. The gut and vaginal microbiota compositions were analyzed using fecal and vaginal samples, respectively.

    Key findings

    The analysis of mice with POI revealed significantly lower levels of anti-Müllerian hormone and growing ovarian follicles and significantly higher levels of atretic follicles (degenerated ovarian follicles) than healthy mice. The POI mice also exhibited impairments in gut and vaginal microbiota.

    Regarding the effect of the study intervention, the study reported that 28-day probiotic treatment caused non-significant (P > 0.05) but trending improvements in ovarian function markers, including anti-Müllerian hormone and estradiol levels, in mice with POI. The treated mice also exhibited a slight increase in growing follicle numbers and a notable, though not statistically significant, decrease in degenerated follicle numbers compared to untreated mice with POI.

    The probiotic treatment caused a slight reduction in serum levels of total cholesterol and triglycerides, with a statistically significant decrease observed in triglycerides, indicating possible metabolic improvements in POI mice.

    Regarding microbial compositions, the study found that the probiotic treatment significantly altered the gut microbiota, leading to restoration of microbial compositions to levels that trended towards those of healthy mice.

    While alpha diversity measure of gut and vaginal microbiota did not differ significantly amoung groups (P > 0.05), beta diversity and microbial composition showed notable shifts with probiotic treatment.

    Probiotic treatment also increased the abundance of beneficial bacteria in the vagina, particularly Rodentibacter, with bacterial populations even exceeding those in the control group; however, the health implications of this increase require further study.

    Study significance

    The study highlights that probiotics may help mitigate ovarian dysfunction, improve lipid metabolism, and restore vaginal microbiota homeostasis in POI mice by modulating gut microbiota composition.

    Existing evidence regarding reproductive endocrine diseases suggests a link between gut and vaginal microbiota disruption, which in turn is associated with the progression and outcome of diverse reproductive endocrine disorders, including polycystic ovary syndrome and endometriosis. The gut microbiota plays a vital role in shaping various physiological functions, including immune, neurological, metabolic, and endocrine functions. Recent evidence indicates that both gut and vaginal microbiotas are involved in the regulation of sex hormones and female reproductive system.

    Scientific literature also documents that gut microbiota alterations can remotely affect vaginal immunity through the modulation of circulating immune cells. Gut microbiota-derived metabolites, such as short-chain fatty acids, can reach the vagina through circulation and modulate the vaginal microenvironment.

    Given the study findings, the researchers suggest that probiotics could offer a promising avenue for future therapeutic development. However, they emphasize that clinical trials in humans are needed to confirm these effects. The current results are based on a preclinical mouse model, and direct clinical application in women with POI is not yet supported by sufficient evidence.

    Probiotics may help alleviate clinical symptoms, such as atrophic vaginal inflammation and metabolic syndrome, and improve long-term quality of life in women living with POI.

    Future studies should focus on exploring specific mechanisms involved in probiotic-mediated regulation of microbial composition and improvement of ovarian functions to clinically establish the therapeutic potential of probiotics in patients with chemotherapy-induced ovarian insufficiency. The researchers noted that clinical studies in human populations are currently underway.

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  • Safety Profiles of Contezolid versus Linezolid in the Treatment of Rif

    Safety Profiles of Contezolid versus Linezolid in the Treatment of Rif

    Introduction

    Tuberculosis (TB) is a chronic respiratory infectious disease that seriously threatens human health and the quality of life. According to the Global Tuberculosis Report 2023, approximately 10 million new TB cases were reported worldwide, of which 748000 were in China, making China a country with high TB and rifampicin-resistant tuberculosis (RR-TB)/multidrug-resistant TB (MDR-TB) burden.1 Long-term treatment is usually required to manage TB patients, which makes them prone to treatment noncompliance and drug resistance. The introduction of new drugs, such as bedaquiline and delamanid, into clinical practice has contributed to the control of MDR-TB,2 but more innovative drugs are still required to further improve the management of MDR-TB.

    Linezolid is the first generation of oxazolidinone drug and is mainly used for gram-positive bacterial infections. Linezolid also has good efficacy in the treatment of MDR-TB.3 Therefore, both the WHO Consolidated Guidelines on Drug-resistant Tuberculosis Treatment and Chinese expert consensus on the all-oral treatment of drug-resistant pulmonary tuberculosis have adopted linezolid as a core drug for the treatment of drug-resistant TB since 2019.4,5 In particular, the Nix-TB study published in the New England Journal of Medicine in 2020 confirmed that the treatment success rate of the new drug regimen, including linezolid, pretomanid, and bedaquiline, reached 90% for the treatment of MDR-TB.6 However, a high percentage of patients had adverse events (AEs) related to linezolid in the Nix-TB trial. Myelosuppression (anemia, leukopenia, and thrombocytopenia) was reported in 49% of the patients, and peripheral neuropathy was reported in 81% of the patients receiving linezolid-containing anti-TB regimen; only 15% of the patients completed the 26-week course of linezolid without interruption or a reduction of 1200 mg/day,6 which severely limits the long-term use of linezolid. About 29% of patients discontinued linezolid due to adverse drug reactions in real-world settings. Linezolid-related myelosuppression frequently occurs within the first 2 months of treatment in most cases. Findings from programmatic experience in field conditions have also demonstrated similar results. A recent study conducted under programmatic conditions focused on a WHO-endorsed bedaquiline-containing all-oral regimen for MDR-TB treatment. Linezolid, serving as a key component of this regimen, was associated with adverse drug reactions in 42.45% of patients. Among these, 93.33% experienced peripheral neuropathy – an agonizing adverse reaction for people with MDR-TB in field conditions, often compromising their treatment outcomes.7 Therefore, there is an urgent need to develop safer drugs and regimens to address MDR-TB.

    Contezolid is a new generation of oxazolidinone antibiotics originally developed and approved in China.8 Contezolid has shown good in vitro activity against M. tuberculosis strains (MIC50/MIC90 = 0.5/1 mg/L).9,10 Additionally, the good antimicrobial activity is maintained and the safety profile is optimized for contezolid by improving its structure-activity relationship. Short-term treatment clinical trials also suggest a better safety profile than that observed with linezolid.11 However, safety information on clinical use of contezolid is still limited. We conducted a randomized, active-controlled trial of contezolid vs linezolid in combination with other anti-TB drugs for the treatment of drug-resistant TB to characterize the safety and tolerability of contezolid treatment for two months.

    Patients and Methods

    Study Design

    This study was designed as a randomized, active-controlled trial in patients with RR-TB who were treated at the Tuberculosis Department of Beijing Chest Hospital Affiliated to Capital Medical University from August 1, 2023, to March 31, 2024. The study protocol and informed consent form were reviewed and approved by the Institutional Review Board for Human Investigation of Beijing Chest Hospital of Capital Medical University (approval no. YJS-2021-022). This study was registered at https://www.chictr.org.cn (identifier: ChiCTR2300074234) on August 1, 2023. The study was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines.

    Patients

    All participants voluntarily participated in this study. Enrolled patients were randomized using a randomization table based on block randomization after signing an informed consent form. The inclusion criteria included 18–65 (inclusive) years of age and diagnosis of RR-TB based on molecular biology methods, and admission to the hospital to receive initial anti-TB treatment or retreatment. The patient did not show fluoroquinolone resistance based on a line probe assay (LPA). An acid-fast bacteria (AFB) smear was positive (at least 1+) in sputum samples. Patients receiving treatment with other anti-TB drugs were willing to discontinue all anti-TB drugs and agreed to undergo a 7-day wash-out period. The patients were closely monitored to address the concerns regarding potential disease progression or worsening symptoms during the 7-day wash-out.

    Subjects were excluded if they met any of the following criteria: (1) A history of allergy to the study drug or any of its components, or an effective treatment plan was not available; (2) complicated with severe comorbidities such as respiratory failure, cardiac insufficiency, or liver and kidney dysfunction (serum creatinine level, ALT and/or AST levels higher than three times the upper limit of normal [ULN]); (3) significant electrocardiogram abnormalities (QT interval prolongation > 430 ms for males, or > 450 ms for females); (4) severe cardiovascular or cerebrovascular diseases; (5) pregnant or lactating women; (6) participation in any other clinical trial within three months before initiation of this study; and (7) positive for HIV antibody or AIDS patients.

    Anti-TB Regimens

    Patients were randomly assigned to receive linezolid or contezolid in combination with other background anti-TB drugs, such as linezolid-bedaquiline (pyrazinamide)-levofloxacin (moxifloxacin)-cycloserine-clofazimine or contezolid-bedaquiline (pyrazinamide)-levofloxacin (moxifloxacin)-cycloserine-clofazimine. Anti-TB drugs were purchased from the same manufacturer and provided in the same dosage form and strength. The specific dosage was linezolid 600 mg q12h, contezolid 800 mg q12h, bedaquiline 400 mg/d for 2 weeks, adjusted to 200 mg three times per week, moxifloxacin 400 mg/d, levofloxacin 600 mg/d, cycloserine 250 mg bid, and clofazimine 100 mg/d.

    Safety Assessment

    All patients were closely monitored during the treatment period for the occurrence and progression of AEs, including clinical symptoms, vital signs, electrocardiogram findings, and laboratory test abnormalities. Hematology tests, urinalysis, and biochemical assays, including liver and kidney function tests, were performed for all patients every two weeks. The clinical characteristics, severity, onset time, duration, management, and outcome of AEs were documented and drug relatedness was evaluated. The risk factors for AEs were also analyzed. The frequency of dose reduction or discontinuation owing to AEs was also evaluated.

    All AEs were coded and graded according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0.12 Grade 1 AE was defined as mild, asymptomatic, or mild symptoms; clinical or diagnostic observations only; and intervention not required. Grade 2 AE was defined as moderate, minimal, local, or noninvasive intervention indicated and limiting age-appropriate instrumental activities of daily living. Grade 3 AE was defined as severe or medically significant but not immediately life-threatening, hospitalization or prolongation of hospitalization indicated, disabling, and limiting self-care activities of daily living. Grade 4 AE was defined as life-threatening consequences and urgent intervention was indicated. Grade 5 AE was defined as death related to AE.

    Anti-TB Efficacy Monitoring

    Anti-TB efficacy was analyzed in terms of microbiology diagnostic testing and imaging examinations. All patients underwent monthly sputum smear tests for AFB and sputum cultures for Mycobacterium tuberculosis. Chest CT scan was scheduled for all the patients at the end of the second month of treatment.

    Statistical Analysis

    Sample size calculation was based on superiority study design. The patients were randomly assigned to contezolid or linezolid group at a ratio of 1:1. Contezolid is expected to be safer than linezolid. The sample size was calculated using the following formula:

    Set α = 0.05, 1- β = 0.80,


    In our experience, the expected incidence of AEs was 2.5% in contezolid group and 49% in linezolid group, based on the safety profiles of such regimens. At least 10 evaluable cases were required in contezolid and linezolid groups to test the superiority of contezolid, assuming two-sided α = 0.05, β = 0.2, superiority threshold δ = 15%, and a 20% dropout rate.

    Statistical analyses were conducted using SPSS 24.0 software. Data are expressed as mean ± standard deviation (SD) and compared between groups using Student’s t test or Wilcoxon’s signed rank test. The incidence of AEs was compared between groups using Chi-square test or Mehta’s modification of Fisher’s exact test.

    Results

    Baseline Patient Characteristics

    A total of 35 smear-positive RR-TB patients were screened, and 29 patients were enrolled and randomized to receive treatment at Beijing Chest Hospital from August 1, 2023 to March 31, 2024. Of the 15 patients treated with contezolid, one patient was excluded from the analysis due to rifampicin-susceptible TB. One of the 14 patients in linezolid group was excluded from the analysis because of withdrawal of informed consent. Finally, 14 patients in contezolid group and 13 patients in linezolid group completed the study and were included in the safety analysis (Figure 1).

    Figure 1 Disposition of the patients in the study.

    Abbreviation: RR-TB, rifampicin-resistant tuberculosis.

    The median (range) age was 40.9 (26–65) years for the patients in contezolid group, and 36.7 (18–64) years for the patients in linezolid group. The baseline characteristics of the two groups of patients were comparable (Table 1).

    Table 1 Demographic and Clinical Characteristics of Rifampicin-Resistant Tuberculosis Patients Receiving Contezolid or Linezolid for Anti-TB Treatment

    AE Profiles of Contezolid Versus Linezolid

    Overall, the incidence of treatment-emergent AEs (TEAEs) was 14.3% (2/14) in contezolid-treated patients and 92.3% (12/13) in linezolid group (P < 0.05). The most common TEAEs were peripheral neuropathy, myelosuppression, and gastrointestinal reactions in linezolid group, but only gastrointestinal reactions in contezolid-treated patients (Table 2).

    Table 2 Treatment-Emergent Adverse Events of Contezolid and Linezolid During Anti-TB Treatment for 2 months

    Patients in contezolid group did not experience any AEs related to bone marrow suppression (anemia, neutropenia, or thrombocytopenia) during the 2-month treatment period. AEs related to bone marrow suppression (anemia) were observed in 4 patients in linezolid group (30.8%), all of which were Grade 2 or higher (hemoglobin levels reduced from 132 to 48 g/L, 112 to 86 g/L, 142 to 59 g/L, and 128 to 89 g/L, respectively). Specifically, 2 cases (15.3%) of Grade 2 anemia completely resolved after linezolid dose reduction to 600 mg/day. One case of Grade 3 anemia occurred in a patient after linezolid treatment for one month. The patient discontinued linezolid and received blood transfusion. The remaining one case of Grade 4 anemia (hemoglobin level reduced from 132 g/L to 48 g/L) developed two months after linezolid treatment. The patient was managed with blood transfusion and permanent discontinuation of linezolid.

    Peripheral neuropathy was not observed in any patient who received contezolid. Peripheral neuropathy (numbness and/or tingling in the limbs) was observed in 7 patients in the linezolid group (53.8%). Most of these cases (6/7) were Grade 2 AEs and the remaining one case was Grade 3. Two of these patients discontinued linezolid treatment due to concurrent Grade 4 and Grade 3 anemia, respectively. The peripheral neuropathy of these two patients was also resolved after discontinuation of linezolid. The peripheral neuropathy AE in three patients were not relieved, even after linezolid dose was reduced to 600 mg qd. Linezolid dose was reduced to 600 mg/day in one patient because of gastrointestinal reactions after treatment for 20 days. One month later, this patient experienced finger numbness. The symptoms did not resolve during treatment at this dose. One patient (7.7%) developed Grade 3 AE one and half months after linezolid treatment. The symptoms were partially resolved after permanent discontinuation of linezolid.

    Two patients (14.3%) in contezolid treatment group developed Grade 2 gastrointestinal AEs. All symptoms were resolved completely after the dose was reduced to 400 mg q12h. Three patients (23.1%) in linezolid group experienced Grade 2 gastrointestinal AEs. All symptoms were resolved completely after the linezolid dose was reduced to 600 mg/day.

    In summary, contezolid showed significantly lower incidence rates than linezolid for myelosuppression and peripheral neuropathy but not for gastrointestinal AEs. Furthermore, dose reduction or discontinuation owing to AEs was observed for linezolid in most patients (84.6%, 11/13).

    Sputum Smear Conversion After 2-month Treatment

    Both contezolid-containing and linezolid-containing anti-TB regimens showed good clinical efficacy. Overall, the sputum negative conversion rate was 92.9% (13/14) in contezolid group and 92.3% (12/13) in linezolid group. The imaging-confirmed lesion absorption rate was 85.7% (12/14) in contezolid group and 84.6% (11/13) in linezolid group. The clinical efficacy was similar between contezolid-containing and linezolid-containing regimens (Table 3).

    Table 3 Anti-Tuberculosis Effect of Contezolid-Containing Versus Linezolid-Containing Regimens for Rifampicin-Resistant Tuberculosis Patients

    Discussion

    Contezolid is an innovative drug of a new generation of oxazolidinone antibiotics. It is derived from structural modification of linezolid to form a non-coplanar structure between the B ring and the A and C rings, which makes the structure-activity relationship of contezolid more favorable in terms of safety and efficacy. Structural modification enables contezolid with enhanced binding to bacterial target and so reduced risk of drug resistance, leading to more efficient antimicrobial activity.13 The optimized structure of contezolid is associated with lower somatic and mitochondrial permeability, and thus, the normal function of mitochondria is not damaged, which may effectively reduce the side effects of bone marrow suppression. The National Medical Products Administration of China approved contezolid in 2021 for the treatment of infections caused by susceptible pathogens after pivotal Phase III clinical trials in China provided favorable and supporting data.14–17

    Shoen et al demonstrated that contezolid was similar to linezolid in the in vitro and in vivo anti-TB activities in mouse infection models against drug-sensitive and drug-resistant M. tuberculosis.9 However, the safety and efficacy of contezolid treatment for MDR-TB patients have not yet been evaluated in China at present time. The Nix-TB trial targeting MDR-TB has shown that most of the adverse reactions of linezolid occur after treatment for approximately 8 weeks.18 Therefore, linezolid was used as the control group in this study to monitor the occurrence of any AEs during the 2-month anti-TB treatment with contezolid- or linezolid-containing regimens.

    In this study, during the 2-month anti-TB treatment period, TEAE was reported in 12 of 13 subjects receiving linezolid treatment (92.3%). All AEs were considered to be related to linezolid treatment. Eleven of the 12 patients underwent dose reduction or discontinuation of linezolid owing to adverse drug reactions. Only one patient continued to complete 2-month treatment with linezolid at a dose of 600 mg q12h. Linezolid-related AEs included anemia, peripheral neuropathy, and gastrointestinal reactions. All AEs occurred 1–2 months after the initiation of linezolid treatment. In contrast, AE was reported in 14.3% (2/14) of the patients receiving contezolid. All AEs were gastrointestinal reactions, one case each of nausea and vomiting. Both AEs were related to contezolid and occurred within one month after the initiation of contezolid treatment. The symptoms were resolved after reducing the contezolid dose to 400 mg q12h. Contezolid was associated with a significantly lower incidence of bone marrow suppression and peripheral neuropathy AEs compared with linezolid. Our data support the good safety of contezolid in the treatment of patients with TB. These findings are consistent with those of previous reports on contezolid regimens for the treatment of TB patients.19–23

    The results of this study indicated that the sputum negative conversion rate (92.9%) after treatment with contezolid-containing regimens for two months was comparable to that in patients treated with linezolid-containing regimens (92.3%). Contezolid-containing anti-TB regimens and linezolid-containing regimens showed similar clinical efficacy in terms of sputum negative conversion rate and imaging-confirmed pulmonary lesion absorption rate.

    This study has some limitations, such as the small sample size, single-center design, relatively short treatment duration of anti-TB regimens, potential selection bias, and the effect of background anti-TB drugs. Especially, the dosage of linezolid used in this study (600 mg q12h) exceeds the current WHO recommended dose of 600 mg/day for MDR-TB treatment. Following the Nix-TB trial, the ZeNix trial demonstrated that reducing both the dose and duration of linezolid to 600 mg/day for 26 weeks was associated with statistically significant treatment success. The higher dose used in this study may have contributed to the elevated adverse drug reaction rate (92.3%) observed in the linezolid group.24,25 These limitations could impact the generalizability of the study conclusion. Therefore, adequate-designed multi-center clinical trials are needed to confirm the utility of contezolid versus linezolid for the long-term treatment of MDR-TB.

    Conclusion

    Preliminary data in this randomized controlled study further support that contezolid has a safer safety profile than linezolid in combination with other background anti-TB drugs for a 2-month treatment of patients with MDR-TB. Both drugs showed similar anti-TB efficacy. However, the long-term safety beyond the 2-month window is unclear yet. Contezolid is safer based on the body of evidence available even though small sample size in this study may weaken the robustness and generalizability of the conclusion. Adequate-designed multicenter long-term clinical trials are required to confirm our findings.

    Data Sharing Statement

    The original data have been included in this article. Further inquiries can be directed to the corresponding author.

    Ethics Approval and Consent to Participate

    This study was approved by the Ethics Committee of Beijing Chest Hospital of Capital Medical University (approval no. YJS-2021-022). Informed consent was obtained from all participants.

    Acknowledgments

    We would like to thank the sample bank of Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis, and Thoracic Tumor Research Institute for supporting this study.

    Funding

    This research was supported by Special “Sailing” Plan for Clinical Medical Development (Grant number: ZLRK202331) and the National Natural Science Foundation of China (Grant number: 8210002).

    Disclosure

    The authors declared no potential conflict of interest with respect to the research, authorship, and/or publication of this article.

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  • Causal Links Between Chronic Obstructive Pulmonary Disease and Diabete

    Causal Links Between Chronic Obstructive Pulmonary Disease and Diabete

    Introduction

    Comorbid conditions of chronic obstructive pulmonary disease (COPD) are associated with increased mortality, readmission, and healthcare utilization. Type 1 (T1D) and type 2 (T2D) diabetes mellitus are common comorbidities in patients with COPD, with higher prevalence rates compared to the general population, independent of body mass index (BMI), smoking, and other confounding factors.1

    A wealth of epidemiological studies and disease models have contributed to a primary understanding of their clinical associations. For example, comorbid diabetes is independently associated with reduced lung function and frequently reported respiratory symptoms.2 Even in individuals without established pulmonary diseases or who are nonsmokers, diabetes often leads to reduced total lung capacity (TLC), diffusing capacity carbon monoxide (DLCO), lung elastic recoil, pulmonary capillary volume, and 6-minute walk distance.3 Among COPD patients, the presence of diabetes is linked to more severe lung function impairment (GOLD 3–4)4 as well as worse clinical outcomes, including higher short-term and long-term mortality and increased hospitalization.5,6 Baseline hyperglycemia in COPD patients experiencing acute respiratory failure is also a reliable predictor of poor clinical outcomes.7 Reciprocally, impaired lung function is associated with elevated glycated hemoglobin (HbA1c) levels and an increased risk of diabetes development.8 Correction of hyperglycemia has been shown to mitigate some lung function abnormalities.9

    Mechanistic evidence from disease models further supports the notion that comorbid diabetes and COPD mutually influence the progression of each other.10 Notably, the association between diabetes and chronic pulmonary diseases seems specific to COPD but does not extend to asthma, as suggested by a prospective cohort study,11 which implies a specific interplay between COPD and diabetes.

    The underlying mechanisms driving the COPD-diabetes association are not yet fully understood. Several potential mechanisms have been documented, mainly associated with shared lifestyle risks, systemic inflammation, metabolic disorders, immune responses, and genetic factors. It is strongly suggested that enhanced inflammatory state observed in COPD may affect peripheral energy utilization, contributing to the development of diabetes. A recent large-scale genome-wide association study (GWAS) not only identified novel loci linking lung function to obesity, but also suggested a negative effect of BMI on lung function over an eight-year follow-up period.12 Lifestyle risk factors, such as cigarette smoke (CS) and dietary intake, play significant roles in the development of both diabetes and COPD. Especially CS exposure, a substantial contributing factor to COPD, disrupts insulin signaling, impairs β-cell insulin production, and influences methylation patterns in genes associated with T2D.13 Additionally, chronic hyperglycemia contributes to alveolar capillary microangiopathy, leading to restrictive and obstructive lung function impairments. Chronic hyperglycemia also leads to the formation of advanced glycation end products (AGEs) through non-specific glycation, which bind to their receptor named the receptor for advanced glycation end-products (RAGE) and induce signal induced chronic airway and vascular inflammation. Overexpression of AGEs-RAGE signaling pathway has been observed in the airway epithelium and smooth muscle of COPD patients.14 Moreover, hyperglycemia may lead to COPD exacerbation (ECOPD) by creating a favorable environment for microbial colonization in the airways, thus increasing the risk of respiratory infections.15

    Considering the shared pathophysiological mechanisms between two conditions, some pharmacological approaches have been explored for their potential to benefit both diabetes and COPD.16 For example, metformin has been investigated as a potential treatment in smoke-induced lung injury, the development and progression emphysema, and osteoporosis in COPD patients.17 It may also improve health outcomes in patients with both COPD and T2D, including symptoms and the transitional dyspnea index.18 However, metformin does not improve physiological or clinical outcomes in non-diabetic COPD patients and may increase the risk of pneumonia, hospitalization, and invasive mechanical ventilation use in COPD patients with T2D.19 Other oral hyperglycemic drugs like thiazolidines and peroxisome proliferator-activated receptor gamma agonists also show potential benefits in managing inflammation and reducing COPD exacerbations.20

    Despite the strong correlation between COPD and diabetes, most evidence comes from observational studies, which are prone to bias due to confounding variables, even after adjusting for demographics, socioeconomic status, and comorbidities. Notably, a study indicated that presence of diabetes, in isolation, may not be a direct risk factor for COPD, and its role in COPD pathogenesis remains uncertain.21 Changes in the glycation of lung collagen and alveolar microangiopathy may contribute to altered pulmonary dysfunctions, but the causal relationship between COPD and diabetes requires further exploration.

    Mendelian Randomization (MR) is an emerging analytical approach that leverages genetic variants as instrumental variables to infer causality between exposures and outcomes.22 A recent MR study by Wang et al sought to investigate the causal relationship between COPD and T2D.23 However, their study focused exclusively on T2D and COPD, without considering the potential causal links between T1D and COPD. While T1D and T2D differ pathophysiologically, both share systemic complications that may impair pulmonary function, justifying the inclusion of T1D in this analysis. Besides, their analysis primarily examined the effect of COPD on T2D, while the reverse causal relationship – the impact of diabetes on COPD – has not been fully explored. Furthermore, given the differences in the prevalence and pathophysiological conditions of diabetes between European and Asian populations, it is crucial to explore the causal relationship between COPD and diabetes in both ancestries,24 a gap not fully addressed in the existing literature. In response to these gaps, we conducted a more comprehensive bidirectional two-sample MR study leveraging a broader set of GWAS summary statistics across both European and Asian populations to determine whether diabetes is causally correlated with COPD risk and also COPD-related characteristics.

    Materials and Methods

    MR uses genetic variants such as single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to investigate the relationship between an exposure and an outcome. This is achieved by comparing the effect size of the SNPs on the outcome to their impact on the exposure. In our study, we performed a bidirectional two-sample MR analysis using publicly available summary data. This study adhered to ethical guidelines for secondary data analysis. Ethical approval was waived under national legislation (Article 32 of the Measures for Ethical Review of Life Science and Medical Research Involving Human Subjects dated February 18, 2023, China). The study methods adhered to the guidelines outlined in STROBE-MR checklist.25

    The MR approach relies on three crucial assumptions: (1) the genetic variants are linked to the exposure under investigation; (2) there are no unmeasured confounders influencing the associations of genetic variants with the outcome; and (3) the genetic variants exclusively influence the outcome through the exposure of interest (Figure 1). A comprehensive and methodical bidirectional MR analysis with prudent validation was performed in this study. Firstly, we reviewed and selected available GWAS data from European or Asian populations for individual clinical conditions. Secondly, we chose valid IVs based on a pre-defined selection criteria. Thirdly, we performed forward analyses to estimate population-specific causal effect of diabetes on the risk of COPD as well as COPD characteristics and outcomes by using five established conventional MR methods. Fourthly, we performed backward analyses to reveal the causal effect of COPD on the frequency of diabetes by conducting conventional MR methods. Fifthly, we replicated the associations by utilizing independent GWAS summary statistics of COPD. Finally, we confirmed the validated causal effects yielded from conventional MR methods by using optional CAUSE method, which modeled correlated and uncorrelated horizontal pleiotropy in order to avoid false positives through including a maximum number of SNPs. The overall study design is shown in Figure 2.

    Figure 1 Flowchart of SNP selection assumptions and MR analysis framework.

    Figure 2 Schematic overview of the bidirectional two-sample MR study design.

    GWAS Datasets

    To conduct MR analysis, we collected GWAS summary statistics for diabetes, COPD, as well as clinical outcomes of COPD from publicly available datasets encompassing European populations and Asian populations.

    Diabetes GWAS Datasets

    For individuals of European ancestry, we analyzed GWAS summary statistics for unspecific diabetes, specific T1D, and specific T2D obtained from various sources. The FinnGen study provided data on diabetes (11,279 cases and 179,600 controls).26 A meta-analysis based on 9 cohorts contributed data for T1D statistics (18,942 cases and 501,638 controls)27 and a meta-analysis combined information from 3 GWAS datasets provided T2D statistics (62,892 cases and 596,424 controls).28 The FinnGen research initiative harmonizes genomic information from Finnish biobanks with health-related data from the country’s healthcare databases. Research endpoints in this research were defined using International Classification of Diseases (ICD) codes.26 The GWAS data of T1D underwent quality control measures, including the application of uniform quality control for cohort-level variants and imputed genotypes based on the TOPMed reference panel.29 Subsequently, the data were tested for T1D association, resulting in the identification of 81 loci reaching genome-wide significance (P < 5×10−8), including 48 of 59 known loci and 33 previously unreported loci.27 The T2D GWAS data involved 5,053,015 genotyped or imputed autosomal SNPs (MAF ≥ 0.01) in T2D cases and controls from the DIAGRAM (Diabetes Genetics Replication and Meta-analysis) (12,171 cases vs 56,862 controls in stage 1 and 22,669 cases vs 58,119 controls in stage 2), GERA (Genetic Epidemiology Research on Aging) (6905 cases and 46,983 controls) and UKB (UK Biobank) (21,147 cases and 434,460 controls) data sets after quality controls.28 Summary statistics in DIAGRAM were imputed to the 1000 Genomes Project Phase 1 using a summary data-based imputation approach. A meta-analysis was then conducted using an inverse-variance method (IVW) to combine the imputed DIAGRAM data with the summary data from GWAS analyses of GERA and UKB.30

    For individuals of Asian ancestry, we obtained summary data of specific T1D and specific T2D GWAS summary statistics from the GWAS report measured in East Asian participants in Biobank Japan by searching for the GWAS catalog (https://www.ebi.ac.uk/gwas/), which comprised a total of 1,219 T1D cases (132,032 controls) (accession number: GCST90018705) and 45,383 cases (132,032 controls) (accession number: GCST90018706).31

    COPD GWAS Datasets

    For individuals of European ancestry, we utilized publicly available summary-level data of COPD extracted directly or indirectly from UK biobank by the IEU open GWAS project (https://gwas.mrcieu.ac.uk/). The summary data included 337,159 individuals of European ancestry (1,179 cases and 335,980 controls).

    For individuals of Asian ancestry, the summary statistics were obtained from the GWAS dataset available in the GWAS catalog (https://www.ebi.ac.uk/gwas/). The dataset specifically included 4,270 individuals of Asian ancestry (accession number: GCST90292627).32

    COPD cases in the database cohorts were defined using ICD-10 codes and spirometry-confirmed airflow obstruction (FEV1/FVC < 0.70).

    COPD Clinical Outcomes GWAS Datasets

    The GWAS summary-level statistics reported ICD-10-based clinical traits that associated to the outcomes of COPD were gathered from publicly available FinnGen biobank database, including COPD with infections (COPD-I) (90,105 cases and 219,049 controls), COPD with pneumonia or pneumonia derived septicaemia (COPD-PS) (43,752 cases and 219,049 controls), COPD with chronic opportunist infection (COPD-COI) (523 cases and 326,794 controls), COPD with respiratory insufficiency (COPD-RI) (2,936 cases and 326,794 controls), COPD with hospital admission (COPD-HA) (12,419 cases and 296,735 controls), COPD with late onset (COPD-LO) (9,334 cases and 135,491 controls), and COPD with early onset (COPD-EO) (6,371 and 326,794 controls). All of the participants were of European ancestries.

    IV Selection

    To ensure the robustness and reliability of our MR analysis, we implemented stringent quality controls in the selection of IVs that fulfilled the three key assumptions of this analytical method. Firstly, we selected SNPs that were significantly associated with the exposure of interest (r² < 0.001, P < 1×10−5), which were commonly considered instrumental variables. While these SNPs exhibited strong statistical associations with the exposures, their exact biological functions might not be fully understood. The P-value threshold (P < 1×10−5) was chosen based on the context of the study, acknowledging that it was less stringent than the typical stricter threshold (eg, P < 5×10−8). These SNPs were required to be present in both the exposure and outcome datasets. In cases where SNPs were unavailable in the outcome summary statistics, proxy SNPs were defined as being in linkage disequilibrium (LD) (r2  > 0.9) and were generated using LDlink (http://analysistools.nci.nih.gov/LDlink/) and LD proxy, with the candidate SNP from the 1000 Genomes Phase 3 CEU/JPT populations serving as the reference.33 Secondly, we employed LD-clumping (r2 < 0.001 within a clumping window size of 1,000 KB) to select a set of independent instruments for the exposure trait. Thirdly, we excluded palindromic SNPs, which were SNPs whose alleles were represented by the same pair of letters on the forward and reverse strands. The inclusion of such SNPs could introduce ambiguity into determining the identity of the effect allele in the exposure and outcome GWASs. Fourthly, we conservatively queried each instrument SNP in the PhenoScanner database (http://www.phenoscanner.medschl.cam.ac.uk/phenoscanner, accessed on 18 October 2023) to identify SNPs with significant association to GWAS traits that potentially confounded the outcomes (P < 1×10−5).34 SNPs considered to be correlated with the confounders were subsequently removed from the following MR estimates to eliminate potential pleiotropic effects. Fifthly, we excluded selected SNPs with a MAF  ≤  0.01. Sixthly, we quantified the instrument strength by calculating F-statistic for each SNP individually and cumulatively using the formula F = R2 (N – 2)/(1 – R2), where R2 is the proportion of the variability of exposure explained by each instrument and N is sample size. To calculate R2, we use the following formula: (2×EAF×(1−EAF)×beta2)/[(2×EAF×(1−EAF)×beta2) + (2×EAF×(1−EAF)×N×SE(beta)2)], where EAF is the effect allele frequency, beta is the estimated genetic effect on exposure, and SE (beta) is the standard error of the genetic effect.35 SNPs with an F statistic > 10 were selected as strong IVs to provide substantial evidence for the exposures under investigation.

    Discovery MR Analyses

    We performed bidirectional two-sample MR analyses using GWAS statistics from discovery datasets. In forward MR analyses, we investigated the causal effects of genetically predicted unspecified diabetes, specific T1D, and specific T2D on the risk of COPD, in both European and Asian ancestries. The impact of specific T1D and specific T2D on certain clinical outcomes of COPD was also explored, specifically in the European individuals. In reverse MR analyses, we examined the effect of COPD on the risk of unspecified diabetes, T1D, and T2D, based on the discovery GWASs summary data from both European and Asian populations.

    The random-effects IVW was performed as the main basis of our study, which incorporates SNP-specific Wald ratios to assess causal connections while assuming balanced pleiotropy.36 However, directional pleiotropy occurs when the net effect of horizontal pleiotropy across all SNPs is non-zero and introduces bias into the IVW estimates. Therefore, alternative MR methods, including MR-Egger, weighted median, simple mode, and weighted mode that were more robust to directional pleiotropy, were employed to calculate estimates for comparison with the IVW estimates. MR Egger allows for the detection of horizontal pleiotropy, which arises when genetic variants affect both the exposure and outcome through different pathways. It provides unbiased estimates of causal effects even when there is directional pleiotropy.37 The weighted median method estimates the causal effect by taking the median of the individual IV ratio estimates and is resilient to up to 50% of the instruments being invalid.38 The simple mode method estimates the causal effect by taking the mode of the individual IV ratio estimates. It is non-parametric and computationally efficient.39 The weighted mode groups SNPs into clusters and calculates an estimate based on the cluster with the most SNPs, combining the advantages of the simple mode and weighted median approaches in handling heterogeneity between instruments.39 The TwoSample MR package (version 0.5.6) was used to conduct these analyses in R (version 4.2.3).

    Sensitivity Analyses

    To assess the robustness of the findings and evaluate the potential impact of different assumptions or methodological choices on the results, sensitivity analyses using MR-Egger and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) were conducted. Although both methods address issues of confounding and pleiotropy bias, they differ in statistical power, assumptions, methods, sample size, data quality, and types of pleiotropy presented in the analyzed dataset. For example, MR-Egger regression has higher statistical power compared to the MR-PRESSO global test in detecting horizontal pleiotropy,37,40 making it more likely to identify potential pleiotropic effects even when they are weak or subtle. Besides, MR-Egger regression and MR-PRESSO global test rely on different assumptions and employ different methods to detect and correct for pleiotropy. MR-Egger regression assumes the InSIDE assumption, which allows for the detection of directional pleiotropy, while MR-PRESSO global test assumes the absence of pleiotropy and detects outliers that may indicate the presence of pleiotropic effects. The differences can lead to divergent results, and the size and quality of the dataset used in the analysis can also influence the presence or absence of pleiotropy. In this study, we used MR-Egger regression and then MR-PRESSO as sensitivity analyses to detect violations of the instrumental variable assumptions. The distortion test of MR-PRESSO analysis was used to detect outliers in our MR analysis that were excluded to reassess the causal estimates. The “leave-one-out” analysis was used to investigate whether the causal relationship was influenced by a single SNP. P > 0.05 indicated no horizontal pleiotropy in intercept test of MR Egger and global test of MR-PRESSO analysis. The Cochran’s Q statistic (MR-IVW) was used to detect the heterogeneity of our MR analysis, and P > 0.05 indicated no heterogeneity. The MRPRESSO R package (version 1.0) was used to perform MR-PRESSO. A significance threshold of Bonferroni correction test accounting for multiple comparisons was used (0.05/3 = 0.017 for the analysis in the European ancestry and 0.05/2 = 0.025 for the analysis in the Asian ancestry) to reduce the Type 1 Error rate.

    Validation MR Analyses

    To validate the associations found in the discovery process, we performed a validation analysis by collecting GWAS summary statistics of COPD from independent datasets. For European ancestry, we obtained summary statistics data from the R8 release of the FinnGen consortium, encompassing 16,410 cases and 283,589 controls. COPD was defined using ICD codes retrieved from nationwide registries in Finland.26 The analyses in FinnGen were adjusted for age, sex, 10 principal components and genotype batch using mixed‐model logistic regression by the investigators. For Asian ancestry, we collected the validation genetic association estimates of SNPs associated with COPD from a GWAS report measured in East Asian participants. This data was retrieved from the GWAS catalog (https://www.ebi.ac.uk/gwas/), which comprised 85,279 East Asian ancestry individuals (accession number: GCST90292631).32

    As an additional validation approach, we also conducted an optional MR analysis method namely CAUSE to confirm the associations observed in both discovery and validation datasets.41 CAUSE models correlated and uncorrelated horizontal pleiotropy in order to avoid false positives that may occur in other methods. To include a maximum number of IVs, we performed LD pruning using a threshold of r2 < 0.01 and P < 1×10−3. CAUSE R package (version 1.2.0) was utilized to conduct the analysis.

    Results

    Causal Effect of Diabetes on COPD

    SNPs were preliminarily selected based on the European-specific diabetes/T1D/T2D GWAS statistics, and detailed information were summarized in Supplementary Table S1. A total of 483 SNPS were retained as IVs for subsequent analyses (Supplementary Table S2) after comprehensive exclusions due to reasons including potential associations with the outcomes, outcome-related confounders, and palindromes (Supplementary Table S3). The summary F-statistics of the IVs was presented in Supplementary Table S4. The F-statistics ranged from 26.885 to 185.205 (larger than 10), indicating a strong instrumental strength.

    By using the discovery COPD GWAS dataset, results of IVW method showed that genetically predicted T2D was causally associated with an increased risk of COPD [odds ratio (OR): 1.002, 95% confidence interval (CI): 1.001–1.003, P < 0.001] (Table 1, Supplementary Table S5). For this identified association, Cochran’s Q test detected no significant heterogeneity among all these IVs (Q = 369.834, P = 0.075) (Supplementary Table S6). Regarding the potential presence of horizontal pleiotropy, MR-Egger regression and MR-PRESSO global test were utilized to calculate it. The results indicated no evidence of potential horizontal pleiotropy that might distort the influence of T2D on COPD (MR-Egger regression P = 0.064; MR-PRESSO global test P = 0.076) (Supplementary Tables S6 and S7). Furthermore, the leave-one-out analysis was conducted to assess whether the causality observed was dependent on or biased by any single SNPs, which revealed none capability of individual SNPs in influencing the result (Supplementary Figure S1). Overall, the results of MR analyses illustrated no causal effect of unspecific diabetes and T1D on the development of COPD in European population (Supplementary Table S5).

    To confirm the causal relationship identified in the discovery sample set in European populations, summary-level data from an independent COPD GWAS was used to repeat the analyses. Selected SNPs were shown in Supplementary Table S8. The F-statistic of SNPs used as the IVs of unspecified diabetes, T1D, and T2D were all greater than 10, indicating that weak instrument was unlikely to bias the results (Supplementary Table S9). The MR Egger approach [OR: 1.108, 95% CI: 1.016 −1.208, P = 0.021] in the replication process yielded a causal effect of T2D on the risk of COPD (Table 1, Supplementary Table S10), which was consistent with the observation found in the discovery process. However, the Bonferroni correction did not adjust the significance level (P = 0.021). Meanwhile, the Cochran’s Q test detected significant heterogeneity among selected IVs (P < 0.001) (Table 1, Supplementary Table S11). And an evidence of horizontal pleiotropy was revealed by MR-Egger regression (P = 0.002) and MR-PRESSO global test (P < 0.001) (Supplementary Tables S11 and S12). The result of leave-one-out analysis showed that no single SNP was driving the whole effect (Supplementary Figure S2). Moreover, the weighted median [OR: 1.021, 95% CI: 1.002 −1.040, P = 0.032] and weighted mode [OR: 1.022, 95% CI: 1.005 −1.040, P = 0.016] showed a role of T1D in increasing the risk of COPD in the validation process (Supplementary Table S10). Notably, the result obtained from the weighted mode method reached the threshold of Bonferroni correction.

    Table 1 MR Estimates of the Causal Association Between T2D and the Risk of COPD in Forward Analysis (Both Populations)

    The causal effect of T1D and T2D on the risk of COPD was also explored in Asian ancestry individuals. The detailed information of selected SNPs and summary F-statistics of the IVs were summarized in Supplementary Tables S13S15. F statistics quantified the strength of the selected SNPs (Supplementary Table S15). Based on the IVW method, no causal link was detected between genetically determined T1D [IVW OR: 0.969, 95% CI: 0.903–1.040, P = 0.386] or T2D [IVW OR: 1.009, 95% CI: 0.953–1.068, P = 0.760] on the risk of COPD in Asian ancestry (Table 1, Supplementary Table S16). MR-Egger regression or MR-PRESSO test did not suggest any directional pleiotropy for the IVs (Supplementary Tables S16 and S17). Similarly, none significant association was discovered by using an independent COPD GWAS sample set in the validation process (Supplementary Tables S18S21).

    As the conventional MR methods potentially indicated a European-specific causal association between T2D and the risk of COPD, an alternative MR method called CAUSE was employed to confirm this causality. The CAUSE analysis consistently suggested the potential causality between T2D and COPD in European population (Supplementary Table S22). However, no statistically significant difference was found (P = 0.450).

    Causal Effect of Diabetes on COPD-Associated Outcomes

    The causal effect of T1D and T2D on COPD-associated characteristics and outcomes was further investigated in European ancestry. Detailed information of IVs for T1D and T2D was listed in Supplementary Table S23. The F statistics of IVs used in the analyses ranged from 38.679 to 278.426 (Supplementary Table S24), showing valid strength of these IVs. As the GWAS statistics for interested outcomes were limited to individuals of European ancestry, the causality between diabetes and COPD-related characteristics and outcomes was solely discovered in this population. A Bonferroni correction test (0.05/2 = 0.025) was applied in order to account for the increased likelihood of chance findings when conducting multiple statistical tests.

    According to the IVW MR approach, genetically predicted T1D was positively associated with the increased risk of COPD-I [OR: 1.017, 95% CI: 1.009–1.025, P < 0.001] in European population (Table 2, Supplementary Table S25). While the methods of MR Egger [OR: 1.023, 95% CI: 1.011–1.036, P < 0.001] and weighted mode [OR: 1.011, 95% CI: 1.002–1.020, P = 0.015] also yielded significant association between T1D and COPD-I with the same direction (Table 2, Supplementary Table S25). However, Cochran’s Q statistics revealed potential heterogeneity between IVs (P < 0.001) (Table 2). And the results of MR-PRESSO global test indicated evidence of potential horizontal pleiotropy that distorted the influence of T1D on COPD (P < 0.001) (Supplementary Table S26). The leave-one-out plot showed that the overall estimated effect was not driven by any individual SNPs (Supplementary Figure S3). The IVW method also indicated a potential causal role of T2D on an increased risk of COPD-I (P = 0.025), with a P value being found to be on the borderline of Bonferroni corrected statistical significance (Supplementary Table S25). Besides, the role of T2D in increasing the risk of COPD-related infection was also indicated by IVW method [OR: 1.102, 95% CI: 1.002–1.037, P = 0.025] but not by other approaches (Table 2 and Supplementary Table S25).

    Table 2 MR Estimates of the Causal Association Between Diabetes and the Risk of COPD with Infections in Forward Analysis (European Population)

    Causal Effect of COPD on Diabetes

    To evaluate any reverse causation effects, we conducted reverse MR approaches where COPD was analysed as the exposure and diabetes was analysed as the outcomes. The detailed information of the IVs in the reverse MR analysis from European and Asian ancestries was presented in Supplementary Tables S27 and S28, respectively. F-statistics of IVs that used in the reverse MR analysis for both populations were larger than 10, indicating that all instruments had a strong potential to predict exposure and could be used for the MR analysis (Supplementary Tables S29 and S30).

    For both ancestry populations, no consistent causal associations between COPD and the risk of T1D or T2D were observed through comprehensive discovery and validation processes (Supplementary Tables S31S34). The MR-Egger intercept analysis found no evidence of directional pleiotropy in selected SNPs (Supplementary Tables S31S34).

    Discussion

    As one of the leading causes of death worldwide, COPD frequently coexists with various comorbidities which result in significant health and economic burdens for patients. Diabetes mellitus is a common comorbidity in the context of COPD.42 Observational studies have reported an increased prevalence of diabetes in COPD patients, and vice versa.43 Despite the growing body of evidence highlighting common environmental, lifestyle, and genetic factors linking COPD and diabetes, the causal relationship between the two remains uncertain due to the inherent limitations of observational studies, which can establish correlation but not causation.10 A recent MR study attempted to explore the causal relationship between COPD and diabetes; however, several key points relevant to clinical practice were not adequately addressed.24 Our current study provided clinicians with more robust evidence in terms of the causal relationship between those conditions, which might help to define the strategies in assessing and managing the comorbid condition in clinical care of multi-diseased COPD patients.

    In our analysis, we evaluated the causal association between genetically predicted diabetes and the risk of COPD using two-sample MR with GWAS summary data from both European and Asian ancestries. Our findings suggested that T2D may represent was a potential risk factor for the development of COPD in individuals of European ancestry, which brought into correspondence with findings from previous cohort studies.44 In contrast, no robust causal association was observed between T1D and COPD. Although T1D has been shown to be associated with impaired pulmonary function, including reduced lung elastic recoil, DLCO, and pulmonary capillary volume,45 it is important to note that the decline in lung function in T1D patients may be less pronounced compared to T2D patients, especially since individuals with T1D are generally younger.46 Additionally, no causal effect of genetically predicted T1D or T2D on the risk of COPD was found in the Asian ancestry. This lack of association might be partially explained by the significant variations in diabetes prevalence, pathophysiology, and phenotypes between European and Asian populations, as well as differences in diabetes management and drug responses across ethnic groups.47–49 For instance, sodium-glucose cotransporter 2 inhibitors are more effective in lowering blood glucose in Asians compared to Europeans,50 and α-glucosidase inhibitors are better tolerated in East Asians.51 These ethnic differences underscore the need for further studies to investigate the potential impact of ethnicity on the relationship between diabetes and COPD.

    COPD exacerbations are clinically and socioeconomically significant events that have far-reaching consequences on patient health and functional capacity.52,53 Previous studies have indicated that increased blood glucose level exhibits an impact on the outcomes of COPD through common pathological pathways,54 particularly exacerbation-related outcomes.5,43 In patients with COPD, pneumonia is associated with more severe airflow obstruction and exacerbations that lead to hospitalizations.55 Glucose levels rise in the body may directly stimulate bacterial growth or promote interaction between bacteria and the airway epithelium.56 Furthermore, immune function is impaired in diabetes, increasing susceptibility to pathogens and enhancing infections in COPD patients.57 In our study, we found that T1D and T2D were positively related to the risk of infections in COPD patients of European ancestry. This causal association aligns with previous studies showing diabetes-related increases in the risk of lower respiratory tract, urinary tract, and skin infections,58,59 as well as lung infections resulting from impaired immune function.60

    Given the increased prevalence of diabetes in COPD patients, we also performed the reverse MR analysis in both European and Asian ancestries to discover the causal effect of COPD on the risk of diabetes. This approach helped mitigate potential reverse causality in the forward association. The results showed no consistent causal association between genetically predicted COPD and the risk of diabetes. Since higher doses of corticosteroids, key maintenance therapy for COPD, are associated with a greater risk of diabetes,61 the increased incidence of diabetes in COPD patients might be related to the use of corticosteroids, though the risk of developing new-onset diabetes with inhaled corticosteroid remains debated.62

    From a biological perspective, the small MR estimates may arise from several factors, including weak direct effects of the exposure on the outcome, complex mediating mechanisms, individual differences, and interference from other environmental factors. First, the exposure (eg, genetic susceptibility to diabetes) may influence the outcome (eg, COPD) indirectly through mediating mechanisms such as chronic inflammation, oxidative stress, or metabolic dysregulation,63 which are not directly captured by MR analyses. Additionally, the biological effects of the exposure on the outcome may vary among subgroups or individuals,64 such as differences in COPD severity or diabetes control, diluting the overall effect size. Moreover, the complex etiology of COPD and diabetes, involving factors like smoking, environmental pollution, and genetic background, could mask the direct impact of a single exposure, further reducing the MR estimate.65 Pleiotropy interference may also occur, where certain SNPs influence the outcome through pathways unrelated to the exposure, leading to an underestimation of the true causal effect.37

    While our MR analysis primarily focused on genetic instruments to infer causality, the role of non-genetic factors, particularly physical inactivity, warrants further discussion. Patients with COPD frequently experience dyspnea and exercise intolerance, leading to reduced physical activity levels. This sedentary behavior may independently contribute to insulin resistance and impaired glucose metabolism, exacerbating diabetes risk through pathways such as diminished skeletal muscle glucose uptake, adipose tissue dysfunction, and chronic low-grade inflammation.66,67 Beyond physical inactivity, other modifiable factors may confound or mediate the COPD-diabetes relationship. Cigarette smoking, a shared risk factor for both conditions, induces systemic oxidative stress and β-cell dysfunction, potentially amplifying diabetes susceptibility in COPD patients.68 Dietary patterns high in saturated fats, common in populations with chronic respiratory symptoms,69 may dysregulate glucose homeostasis. Notably, corticosteroid therapy, a mainstay of COPD management, may transiently elevate blood glucose levels, though its long-term contribution to diabetes pathogenesis remains debated.

    Our study shares several methodological similarities with the MR study by Wang et al;24 however, there are key differences in research objective, methods, and findings. Regarding the study objective, our work focused more on exploring the causal effect of both T1D and T2D on the risk of COPD, with an emphasis on how diabetes influences COPD risk and associated clinical outcomes. In terms of methodology, we incorporated multiple MR approaches and sensitivity analyses to explore the bidirectional causal relationship, whereas Wang et al used a unidirectional MR method. Moreover, our study utilized GWAS data from European and Asian populations respectively for both exposures and outcomes, while Wang et al’s study elected European cohorts for COPD exposure and Asian cohorts for T2D outcomes. We also specifically examined the association between diabetes and COPD-related clinical characteristics, such as infections, which was not addressed in Wang’s study. Moreover, we used multiple GWAS datasets to apply discovery analysis and validation analysis, which would give more robust results. Regarding the findings, we identified no consistent causal effect of COPD on the risk of T1D or T2D, whereas Wang et al found that COPD was a risk factor for T2D. This discrepancy might be attributed to differences in the genetic instruments used, sample sizes, and population characteristics. These differences highlight the unique contribution of our work, which offers new insights into this specific field and enriches the current understanding of the correlations between these conditions. More importantly, the divergence in results highlights the importance of further research to better understand the complex interplay between COPD and diabetes.

    Although our study utilized a robust and validated methodology, we acknowledged several limitations. First, MR analysis was performed only using existing genetic data; non-genetic factors that might influence the association were not explored. Second, although we covered GWAS data from East Asian populations, the generalizability of our findings to other racial and ethnic groups was still limited as the available GWAS statistics pertaining to COPD characteristics and outcomes in public databases predominantly derived from individuals of European ancestry. Thirdly, the COPD GWAS datasets utilized in our analysis contained samples from patients with asthma, which could introduce a potential bias in the causal relationships examined, as the selected SNPs might also be associated with asthma. Consequently, caution should be exercised when interpreting and generalizing the findings, considering the potential confounding effect of asthma on the observed causal relationships. Finally, the heterogeneity obtained by the Cochran’s Q test in our MR analyses suggested that further research is needed to verify these relationships.

    Conclusion

    This bidirectional two-sample MR study provides tentative evidence for a potential causal role of T2D in increasing the risk of developing COPD within the European population. However, caution is warranted, and further validation of this association is necessary to enhance our understanding and facilitate the identification of new therapeutic targets and interventions aimed at effectively managing the burden of COPD, particularly in individuals with comorbidities such as diabetes. Ongoing research in this area will be crucial for improving patient care and clinical outcomes.

    Acknowledgments

    The abstract of this paper was presented at the European Respiratory Society Conference name Causal Links Between Diabetes and Chronic Obstructive Pulmonary Disease: A Bidirectional Two-Sample Mendelian Randomization Study as a poster presentation with interim findings. The poster’s abstract was published in “Poster Abstracts” in European Respiratory Journal name Causal Links Between Diabetes and Chronic Obstructive Pulmonary Disease: A Bidirectional Two-Sample Mendelian Randomization Study: https://publications.ersnet.org/content/erj/64/suppl68/pa4864

    Author Contributions

    XYW and XC were co-first authors and contributed equally to this study. WL and HLJ conceived and designed the study. XYW and WL drafted the manuscript. XYW, XC, and RZF performed the MR statistical analyses and sensitivity analyses. WL and XYW contributed to drafting and revising the article. All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

    Funding

    The study was funded by the National Natural Science Foundation of China (Grant No. 82474368), the Science & Technology Department of Sichuan Province (grant No. 2023YFH0072 and 2024YFHZ0324), the Sichuan Administration of Traditional Chinese Medicine (grant No. 2021ZD01 and 2023ZD002), Philosophy and Social Science Key Research Base Health Humanities Research Center Project of Zigong City (grant No. JKRWY23-02), and Health Commission of Zigong City (grant No. 2LYB015). The sponsors had no role in the study design, the collection, analysis, interpretation of the data, or the decision to submit the article for publication.

    Disclosure

    The authors report no conflicts of interest in this work.

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