Category: 8. Health

  • Application of polyglycolic acid/ poly (lactic‐co‐glycolic acid) i

    Application of polyglycolic acid/ poly (lactic‐co‐glycolic acid) i

    Introduction

    Obesity and its related diseases have become a significant global health concern and are recognized as the world’s fifth leading cause of death. The World Health Organization (WHO) describes obesity as “an abnormal or excessive accumulation of fat that may impair health”. It states that “the root cause of obesity and overweight is an energy imbalance between calories consumed and calories expended”.1 Epidemiological study shows a dramatic increase in obesity rates between 1990 and 2021 at the global, regional and national levels. Compared with 1990, global obesity rates in 2021 increased by 155.1% for males and 104.9% for females.2 According to the “World Obesity Report 2024”,3 there were 2.2 billion overweight or obese adults in 2020. By 2035, it is projected that nearly 3.3 billion (54%) adults will be overweight or obese. Annually, five million deaths from non-communicable diseases are linked to overweight or obesity. Obesity is a multifaceted health challenge, influenced by genetic and behavioral factors, as well as significant environmental causes such as unhealthy social eating habits and food deserts.4 At its core, obesity involves an imbalance of energy intake and expenditure. Positive energy balance leads to weight gain.5 Energy regulation involves intricate physiological interactions, including gut sensory-motor activities, signaling by peripheral hormones, and neural pathways both peripheral and central.6

    Common obesity treatments include lifestyle changes, medications, and surgery. However, it’s typical for individuals to regain weight after modifying their lifestyle. Stopping weight loss medications often leads to weight rebound, with long-term use posing safety concerns. Surgical interventions are limited by their high upfront costs, potential for severe complications, and about 20%-25% of patients experiencing significant weight regain within a year.7 This weight rebound may be attributed in part to the metabolic memory of obesity. After significant weight loss or metabolic improvement, multiple cell types in adipose tissue (eg, adipocytes, adipocyte progenitors, and endothelial cells) retain gene expression differences from the obese period. In particular, metabolism-related genes (eg, IGF1, LPIN1, IDH1) remained downregulated after weight loss.8 Consequently, innovative treatments are essential to curb obesity’s rise. Thread embedding acupuncture (TEA), also known as long-term acupoint stimulation, merges contemporary technology with traditional acupuncture techniques. Embedding absorbable threads into acupoints extends the effects of acupuncture. A meta-analysis9 of six clinical trials found that TEA outperformed sham TEA in reducing body weight, body mass index (BMI), waist circumference, hip circumference, and percent body fat. Recognized for its therapeutic benefits,10,11 this technique has reduced treatment frequencies from twice weekly to twice monthly.12 Its cost-effectiveness and time efficiency make TEA an appealing option for obesity treatment.13,14 However, adverse events of foreign body cystic granuloma and abscess after TEA have been reported,15 which often uses primitive catgut threads. Recently, biodegradable threads like Polyglycolic acid (PGA) and poly (lactide-co-glycolide; PLGA) have been increasingly used in TEA due to their higher safety and improved user experience. PGA and PLGA could break down in the body into easily metabolized monomers.16 Recent studies have demonstrated the potential of TEA using PGA/PLGA.17 This new approach holds promise for the treatment of obesity. However, clinical practice has revealed efficacy differences in different patients. These issues become existing challenges for this therapy. This paper discusses the clinical applications of PGA and PLGA, particularly their use and mechanisms in TEA for obesity, and discusses their new strategies and challenges in obesity treatment.

    Clinical Applications of PGA and PGLA

    During the 1960s and 1970s, research on absorbable surgical sutures demonstrated the excellent biocompatibility and biodegradability of PGA and PLGA materials. It led to the wide use of biodegradable materials. Today, these materials are used in absorbable surgical sutures, drug delivery carriers, fracture fixation devices, tissue engineering scaffolds, and suture reinforcement materials (Figure 1).

    Figure 1 Clinical applications of PGA and PLGA.

    Absorbable Surgical Sutures

    PGA is a linear aliphatic polyester. It features a simple structure with a controllable hydrolytic degradation process. It has gained recognition in the medical field for its use in absorbable sutures, exemplified by the commercial Dexon suture series. In the body, PGA is broken down by enzymes, notably those with esterase activity.18 Its degradation product, glycolic acid (GA), is non-toxic and is expelled from the body as water and carbon dioxide via the tricarboxylic acid cycle.18 Research indicates that PGA sutures lose half their strength within two weeks, all their strength in four weeks, and are fully absorbed within four to six months.19,20 PLGA, another polymer suture developed commercially, has a higher lactic/glycolic acid ratio to slow down degradation. Edlich et al21 reported that PGA sutures cause minimal inflammation compared to other sutures and excel in handling, tensile strength, knot security, non-toxicity, and minimal tissue reaction. PGA does not interfere with the wound healing process and the material is well tolerated in both clean and contaminated procedures. Similar findings have been reported by other researchers.22,23

    Drug Delivery Systems

    Polyesters are favored in drug delivery systems due to their biocompatibility, biodegradability, processability, and tunable release rates.24 PLGA, in particular, is frequently used clinically in several FDA-approved devices.25 PLGAs as drug carriers can release drugs in a controlled manner. It could offer numerous therapeutic benefits such as eliminating frequent dosing and allowing precise control over drug release rates. Furthermore, it protects active drugs from degradation before administration and minimizes toxic effects due to fluctuations in drug plasma concentrations.26 Currently, PLGA is applied in delivering small-molecule drugs like ciprofloxacin;27–29 and cancer chemotherapy drugs like doxorubicin and paclitaxel.30,31

    Fracture Fixation Materials

    In orthopedics, biodegradable copolymers are extensively used to make devices like fixation rods, plates, screws, and suture fixators. These materials are employed in enhancing musculoskeletal tissue repair, serving as scaffolds to support tissue growth and as carriers for tissues or cells.32–34 For example, devices such as pins and screws are used for bone fixation, and suture anchors are used for anterior cruciate ligament reconstruction. Moreover, cartilage regeneration technologies that use autologous cartilage grafts, chondrocytes, or mesenchymal stem cells are also prevalent. These polymers, designed as carriers or fillers, directly foster the development of cartilage regeneration technologies. These biodegradable scaffolds are appropriately designed for implantation of articular chondrocytes or progenitor cells.

    Tissue Engineering Scaffolds

    Tissue engineering scaffolds are important in disease treatment. It provides essential mechanical support for cell attachment and tissue development. Optimal scaffolds meet specific architectural, mechanical, physicochemical, and biological criteria. PGA has been extensively utilized as a scaffold material in tissue engineering. Neurotube™ (Synovis Micro Companies Alliance, Birmingham, Alabama, USA) is a PGA-based neural scaffold device that has been commercialized for both experimental and clinical use.35 These PGA tubes collapse after implantation and are biodegraded and absorbed in the body. Finkbeiner et al36 confirmed that the extracellular matrix alone does not suffice to guide human embryonic stem cells toward differentiation into the endoderm or intestinal lineage. In contrast, PGA scaffolds seeded by human intestinal organoids thrive in the body and develop into tissues nearly identical to mature intestinal tissues. Currently, PGA is applied in scaffolds for nerve repair and reconstruction, oral and craniofacial regeneration, and tissue-engineered intestinal scaffolds.37–39

    Suture Reinforcement Materials

    PGA can be used to cover wounds, preventing bleeding and leakage during surgery. In certain procedures (such as early-stage oral or oropharyngeal cancer surgeries), the resulting wounds are often too large for primary closure and require coverage with grafts or patches made from various biomaterials. Investigators reported the utility of covering post-surgical wounds of the oral cavity and pharynx with fibrin glue-adhesive PGA sheet.40 Covering the wound with a PGA sheet is simpler and less time-consuming than taping, implanting, or using other artificial materials, and it avoids microvascular graft reconstruction. Takeshi Shinozaki et al41 reported that covering oral cancer surgical wounds with PGA sheets reduced postoperative pain. Currently, PGA sheets are used for fistula closure during lung surgery,42 hemostasis in liver surgery,43 dural repair in spinal surgery,44 and defect coverage after oral cancer resection.40

    Other Uses

    Beyond these applications, PLGA is used in facial cosmetic surgery. The FDA-approved, minimally invasive absorbable suture treatment known as InstaLift (Sinclair Pharma) is utilized for mid-facial tissue repositioning. These sutures are made of PLGA and other copolymers. The structure of the suture is designed to mechanically support tissues while also promoting gradual and sustained tissue regeneration through collagen stimulation, thus restoring facial contours.45 Similarly, products containing PLGA and related polymers (sold in Europe as Silhouette Soft by Sinclair Pharma) have been shown to induce Type I collagen synthesis, effectively doubling the diameter of the filaments within 12 months. This collagen build-up can persist for up to 24 months when the sutures begin to degrade. These sutures are employed for treating mild to moderate skin laxity in the mid-face, lower face, full face, neck, and eyebrow repositioning.45,46 In recent years, PGA and PLGA have gained popularity in TEA for obesity. The following discusses its applications and mechanisms in this field.

    Thread Embedding Acupuncture

    Acupuncture has a long history and unique therapeutic characteristics. It regulates bodily functions through physical stimulation rather than medication. Focusing on a holistic approach, acupuncture influences the body’s Qi, blood flow, and meridians by stimulating specific acupoints. Guided by traditional Chinese medicine’s diagnostic theories, treatment involves selecting different acupoints based on the underlying causes and symptoms. Acupuncture also exhibits bidirectional regulation, adjusting bodily functions according to individual conditions to restore balance. Acupuncture can be used to treat various conditions, including pain, internal diseases, gynecological disorders, and neurological conditions.47–49 However, the typical treatment frequency is 2–3 sessions per week, which poses a significant time challenge for many patients. Recently, long-duration acupuncture techniques have gained popularity, such as press needle therapy, acupoint injections, and TEA. Press needles involve inserting a fine needle vertically into the skin and securing it with tape for 1 to 5 days. During this time the patient can move freely without any discomfort. This method provides continuous stimulation to the area, enhancing therapeutic effects. It is currently used in treating insomnia, post-stroke hemiplegia, and postoperative recovery.50–52 Acupoint injection delivers medication directly into acupoints or tender points. This technique is widely applied to manage diabetic complications, chemotherapy side effects, and knee osteoarthritis.53–55

    TEA is an extension and development of acupuncture. It is based on the theory of acupuncture and combines modern medical technology. This technique works by embedding biodegradable threads (such as catgut, PGA, or other materials) into specific acupoints to provide long-term stimulation. The therapy offers sustained acupoint stimulation lasting several days or even weeks, creating a “long-lasting acupuncture effect” characterized by gentle, continuous, and beneficial stimulation. TEA reduces the need for frequent clinical visits. It avoids repeated needle punctures, resulting in less pain. It is particularly suitable for those apprehensive about needles, thereby improving patient compliance. The threads are fully absorbable and non-toxic, making it a safe and eco-friendly treatment. As the threads are broken down and absorbed in the body, they provide physiological, physical, and chemical stimulation to the acupoints, promoting the body’s self-repair and regulatory functions. Its applications are extensive, covering a range of conditions from pain-related and functional disorders to chronic diseases. Additionally, TEA is also applied in cosmetic fields for spot removal, wrinkle reduction, and health-enhancing purposes like anti-aging and boosting immunity.

    Thread Embedding Acupuncture for Obesity

    Acupuncture has been established as an effective alternative therapy for treating obesity.56,57 It could influence hypothalamic, sympathetic, and parasympathetic nerve activities, as well as obesity-related hormones. A meta-analysis58 reviewed the efficacy of acupuncture in obesity management. This analysis demonstrated that acupuncture significantly reduces BMI, body weight, body fat mass, and lipid levels compared to sham acupuncture. Studies suggest that acupuncture may modulate the gut-brain axis, thereby affecting dietary behaviors and the gut microbiome.59 It is believed to enhance energy expenditure by increasing the browning of adipose tissue, boosting muscle blood flow, and alleviating hypoxia.60 Acupuncture may also influence metabolic syndrome in obesity by decreasing inflammation and regulating levels of reactive oxygen species.61 Recent research suggests that acupuncture’s effects on obesity might involve neuroendocrine modulation, potentially affecting metabolism and appetite control through its action on the hypothalamus and autonomic nervous system.62

    As an innovative form of acupuncture, TEA offers enhanced therapeutic effects.63,64 A meta-analysis11,65 of 33 studies involving 2685 patients with obesity showed that TEA was more effective than acupuncture in reducing BMI (MD = −1.12, 95% CI: −2.09, −0.14) and waist circumference (MD = −2.14, 95% CI: −4.22, −0.06). Its acting mechanism combines traditional acupuncture theory with modern material science. The embedded threads are continuously degraded at the acupuncture points to produce mild physical and biochemical stimulation. It modulates adipose tissue inflammation and induces browning of white adipose tissue to promote adipose metabolism. In addition, it could also regulate intestinal flora, repair intestinal barrier function, and improve leptin/insulin resistance. Multiple mechanisms work together to achieve the regulation of reduced energy intake and increased consumption.

    Clinical Study of Thread Embedding Acupuncture for Obesity

    We searched PubMed, Web of Science, and Embase databases from inception to 1 October 2024. Our primary search terms included TS1= “thread embedding acupuncture” OR “acupoint catgut embedding” OR “acupoint embedding” OR “catgut embedding”, and TS2= “obesity” OR “overweight” OR “obese” OR “weight loss”. We screened the articles for title and full text. Seven relevant clinical studies were finally obtained. Table 1 summarizes the existing clinical trials of TEA.

    Table 1 Clinical Study of TEA in the Treatment of Obesity

    Liang et al65 conducted a randomized, single-blind, sham-controlled clinical trial involving 84 overweight and obese adults. Participants received TEA or sham TEA every 10 days for a total of 8 sessions. From baseline to the end of treatment, the weight loss in the TEA group was significantly greater than in the sham group (2.97 kg vs 1.40 kg, net difference: 1.57 kg, 95% CI: 0.29–2.86, p = 0.012). The superior weight loss effect persisted during a 3-month follow-up period (3.84 kg vs 0.65 kg, net difference: 3.20 kg, 95% CI: 1.17–5.21, p = 0.001). Compared to sham therapy, TEA also improved triglyceride levels and reduced subcutaneous fat tissue. One participant in the TEA group reported mild discomfort and tingling after the intervention, with no other adverse events recorded. Similarly, a trial by Xia et al involving 216 subjects demonstrated that TEA effectively reduced both body weight and waist circumference in obese patients.68

    Li Shu et al67 assessed 51 obese patients divided into a TEA group and a lifestyle management group. The TEA involved embedding PGA threads at abdominal acupoints every 10 days for a total duration of 10 weeks. The results showed that, compared to baseline, TEA significantly reduced weight, BMI, hip circumference, waist circumference, waist-to-hip ratio, waist-to-height ratio, and abdominal subcutaneous fat thickness (p < 0.01), while lifestyle changes only indicated a trend of weight reduction (p < 0.05). In addition, TEA improved assessment scores in physical functioning, self-esteem, and sexuality. It decreased the levels of blood pressure, blood glucose, LDL, uric acid, and TNF-alpha, IL-1β, and increased HDL (p < 0.05). The trial also indicated that TEA is safe, with tolerable levels of pain and discomfort.

    IJu et al66 randomized 90 women with abdominal obesity to a TEA group or a sham group. Treatments were conducted once per week for six weeks. Post-treatment, the TEA group showed greater reductions in weight (−1.65 kg vs −0.38 kg, p < 0.001) and waist circumference (4.84 cm vs 1.68 cm, p = 0.04). Trends also indicated decreases in triglycerides and glycated hemoglobin, with a significant reduction in the leptin-to-adiponectin ratio (3.0 ± 4.8 to 1.9 ± 1.6, p = 0.043). No severe adverse events were reported.

    Xin et al70 evaluated the effect of TEA on appetite in obese patients. A total of 122 obese participants were divided into two groups, each receiving six treatments over 12 weeks with a four-week follow-up. Among participants with high appetite levels, the appetite scores in the TEA group significantly decreased from a baseline of 7.78 to 5.00 at 16 weeks (p < 0.05), compared to a lesser reduction in the sham group. For participants with moderate appetite levels, no significant differences were observed between the groups (P > 0.05). The study revealed the nuanced impact of TEA on appetite, reducing it significantly in those with strong appetites without over-suppression. It indicates the potential of TEA as a sustainable strategy for managing obesity.

    Yuanyuan et al69 discovered that TEA increased the diversity of gut microbiota in perimenopausal women with central obesity. Notably, there was an increase in Kosakonia and Klebsiella after treatment, which showed a negative correlation with weight and waist circumference.

    Operation and Acupoints of Thread Embedding Acupuncture for Obesity

    Originally, catgut was primarily used for TEA. It provides strong stimulation and frequently leads to adverse reactions. PGA and PLGA, as a new type of thread material for TEA, have gained increasing popularity in recent years for treating obesity. Compared to catgut, PGA/PLGA has a lower incidence of adverse effects,71 better patient acceptance, and addresses the limitations of current treatments. Typically, PGA/PLGA thread embedding involves a folding technique. The thread is doubled at the needle’s tip, ensuring that the lengths of the thread inside and outside the needle are equal. This method simplifies the procedure: the thread is inserted into the acupoint and folded over, continuing deeper until the thread enters the skin outside the hole and then exits the needle directly. Pushed deeper until all of the thread enters the skin, and then the needle is removed (Figure 2A and B).72

    Figure 2 (A) Needle and thread of TEA. (B) Operation of TEA for obesity. (C) Connections of acupoints to organs and tissues for weight loss.

    The treatment cycle for TEA clinical trials typically lasts 6 to 12 weeks, with treatment frequency once every one to two weeks. Laboratory studies have shown that PGA materials degrade significantly faster by the seventh day. The lactic acid to glycolic acid ratio in PLGA, typically set at 1:9, critically influences its degradation rate.73 Notably, many studies overlook the long-term effects of TEA, often lacking extended follow-up. However, Tang Zuoyang et al74 performed a one-year follow-up, demonstrating that TEA can effectively maintain weight loss long-term. There is no standardized depth for embedding in current clinical practice. Some studies have used ultrasound guidance to compare the effectiveness of embedding at different depths for obesity. Results indicate that embedding in the muscle layer is more effective in reducing BMI and waist circumference compared to embedding in the fat layer.75 However, muscle-layer embedding produces stronger stimulation and increases patient discomfort. The appropriate depth for embedding remains an open question in clinical settings.

    Acupoints commonly used for embedding include Zhongwan (CV12), Qihai (CV6), Shuifen (CV9), Tianshu (ST25), Zusanli (ST36), and Pishu (BL20), primarily located in the abdomen, lower legs, and back (Figure 2C). In Traditional Chinese Medicine, abdominal acupoints are traditionally associated with regulating gastrointestinal functions and addressing local issues, which correspond to excessive abdominal and visceral fat deposition. The selected acupoints on the lower limbs and back are believed to enhance metabolic functions.56 The connections between acupoints, meridians, and internal organs suggest that these points not only correspond physiologically with their associated organs but also regulate visceral diseases in pathological states (Figure 2C).76 A study has identified a dorsal vagal complex (DVC)-vagus nerve-stomach pathway connecting the stomach with CV12. Visceral and somatic afferent impulses converge in the spinal cord, brainstem, and even the hypothalamus. Stimulating CV12 could regulate gastric motility, an effect closely related to the DVC. This stimulation enhances gastrointestinal hormones, thereby modulating gastric motility via the vagus nerve.77 Therefore, the function of CV12 is primarily linked with the stomach. CV6 and CV9 are more frequently used for intestinal diseases,78 due to their local therapeutic effects. They can improve intestinal epithelial morphology and regulate gut microbiota.79 Additionally, they may influence local adipose tissue, promoting fat thermogenesis and thus reducing both subcutaneous and visceral abdominal fat.60,80 Stimulate ST36 could activate the bilateral cerebellum, hemisphere lobule VIII, bilateral Rolandic operculum, and right cingulate gyrus.81 The Rolandic operculum plays a role not only in emotional processing but also in the taste and visceral sensory systems, in conjunction with the cingulate cortex-Rolandic operculum network.82 Furthermore, stimulating ST36 and ST25 promotes the expression of BDNF and POMC+ neurons in the hypothalamus, suppressing appetite and achieving weight loss.83 BL20, positioned below the eighth thoracic vertebra, influences parts of T11 that innervate the pancreas. This means that BL20 afferent fibers can regulate pancreatic functions.84 Electroacupuncture at BL20 in T2DM rats has been shown to lower blood glucose and insulin, consistent with segmental nerve innervation theory.85

    Mechanisms of Using PGA/PLGA Thread Embedding Acupuncture for Obesity

    The mechanisms of PGA/PLGA thread embedding acupuncture for obesity are complex and require further investigation. Current animal studies and clinical trials have revealed potential mechanisms, related to reducing inflammation, boosting adipocyte metabolism, and altering neuroendocrine functions, ultimately leading to an increase in energy expenditure or a decrease in energy intake (Figure 3).

    Figure 3 Mechanisms of TEA for obesity.

    Modulating Inflammatory States

    Obesity is a chronic low-grade inflammatory state,86 characterized by significant changes in macrophages during its progression. Specifically, the recruitment of pro-inflammatory M1 macrophages increases, which secrete cytokines like TNF-α and IL-1β. An increase in macrophage numbers and the M1-to-M2 macrophage ratio is a hallmark of adipose tissue inflammation in obesity. This inflammation is linked to insulin resistance and the progression of metabolic diseases.87

    TEA has been shown to inhibit the expression of IL-6, TNF-α mRNA, and MCP-1 mRNA in adipose tissues.88 It could reduce inflammation, promotes browning of white fat cells, and enhances thermogenesis and metabolism, thus helping with weight loss.89 Additionally, the degradation of PGA/PLGA in the body facilitates this process. PGA degradation products significantly inhibited the production of TNF-α, IL-1β, and IL-6. The production of TNF-α, IL-1β, and IL-6 was found to correlate with pH and acid molecules in a macrophage model, and the strongly acidic microenvironment induced by PGA degradation may be a major trigger influencing the inflammatory response.90 Moreover, the degradation of PGA fiber implants promotes macrophage polarization to the M2 pro-healing phenotype. When PGA material was implanted subcutaneously in mice, immune cells were encouraged to recruit and activate nearby adipocytes to migrate towards the PGA material, and pro-healing macrophage CD163-positive cells appeared at the implantation site.90

    Enhancing Adipocyte Metabolic Capacity

    White adipose tissue (WAT), one of the largest organs in the body, plays a critical role in energy balance and metabolism. It not only stores excess energy but also secretes various hormones and metabolites that regulate energy homeostasis. Healthy, expandable adipose tissue is essential for metabolic health and preventing triglyceride accumulation in other organs. The downregulation of mitochondrial function or biogenesis in WAT is a central driver of obesity-related metabolic disorders. Mitochondrial functions impaired by obesity affect oxidative capabilities and the renewal and expansion of adipose tissue through the recruitment and differentiation of progenitor cells, negatively impacting overall metabolic health.91

    TEA enhances the metabolic capacity of adipocytes. It regulates the PPAR signaling pathway by upregulating the expression of lipoprotein lipase (Lpl) and downregulating the expression of solute carrier family 27 member 2 (Slc27a2), fatty acid-binding protein 1 (Fabp1), and apolipoprotein C3 (Apoc3), thereby improving fat metabolism in the body.92 Following PGA/PLGA implantation, the biodegradation products, lactic and glycolic acids, have recently been identified as effective inducers of browning in white adipose tissue. When PGA/PLGA is implanted, its biodegradation products, lactic acid and glycolic acid,73 play distinct roles in promoting weight loss. Lactic acid has been identified as an effective inducer of WAT browning. Increased lactic acid transport amplifies the expression of thermogenic gene UCP1 in WAT. This process is due to increased MCT transporter activity, elevated intracellular redox stress (NADH/NAD), and upregulated expression of cytokine FGF21.93 Glycolic acid, on the other hand, inhibits lipase activity by reducing the efficiency of 4-NPP oxidation catalysis.94 This can reduce the body’s fat intake. A clinical trial95 showed that human visceral adipose tissue, BMI and waist circumference were negatively correlated with ethanolic acid. At the same time, ethanolic acid levels were lower in the obese population. In summary, the biodegradation products of PGA/PLGA are also beneficial for weight loss.

    Regulating the Gut Microbiota

    The gut microbiota is the most complex symbiotic microecosystem in the human body, playing a crucial role in metabolism and serving as an important immune barrier. Human health is closely linked to the gut microbial environment. Imbalances in the gut microbiota can lead to obesity. On the one hand, the overall diversity of gut microbiota in obese people is reduced. On the other hand, the intestinal immune barrier is disrupted, leading to the entry of bacterial lipopolysaccharide into the bloodstream and triggering endotoxemia and chronic inflammatory response.96 Clinical studies69 have shown that TEA can increase the diversity and variation of the gut microbiota in obese patients. Post-treatment, patients exhibited increases in Kosakonia and Klebsiella, which were significantly negatively correlated with weight, waist circumference, and adiponectin levels. After injection of PLGA into obese mice, PLGA is broken down into glycolic acid and lactic acid, which enter the hepatic and intestinal circulations through the liver. This process reduces the cecal pH and alters gut microbiota composition, significantly decreasing the abundance of Bacteroidetes and Firmicutes in the gut.97 Glycolic acid is further broken down into glyoxylic acid, which microorganisms use to synthesize substances essential for their growth and reproduction. Therefore, glyoxylic acid may influence gut dysbiosis induced by a high-fat diet.98 This mechanism may also explain why PGA/PLGA-based TEA helps improve gut dysbiosis.

    Regulating the Neuroendocrine System

    The hypothalamus plays a central role in the body’s energy balance, containing various neurons that regulate appetite. TEA can improve the transport barriers and post-receptor signaling for insulin and leptin, and reduce lipid peroxidation.99 It activates the leptin receptor-mediated Janus kinase 2 (JAK2)/signal transducer and activator of transcription factor 3 (STAT3) signaling pathway in the hypothalamus,100 and enhances the expression of insulin receptor (INSR) and obesity gene receptor (OB-R) proteins in the hypothalamic arcuate nucleus.101 This modifies central nervous functions, leading to changes in subjective appetite and disrupting energy balance. Additionally, studies suggest that mice fed a high-fat diet showed altered TRPV1 pathway expression in brain regions of the mice: downregulated in the medial prefrontal cortex (mPFC) and hippocampus, and upregulated in the hypothalamus and amygdala, influencing depression-like behaviors and inflammation. By reversing these effects, TEA could increase energy expenditure, reduce food consumption, and improve depressive-like behavior and inflammation in obese mice.17,102

    Peripheral tissues also significantly influence obesity and its complications. Experiments have observed that intravenous injection of PLGA in diet-induced obese mice slightly improved glucose clearance rates after a glucose challenge.97 Similarly, implanting a PLGA scaffold in the epididymal fat of obese mice reduced fasting blood glucose and improved glucose tolerance, effects similar to those seen after several weeks of treadmill training. Enhanced glucose uptake was observed near the scaffold region.103 After scaffold implantation, a new microenvironment formed in the fat tissue, consisting of blood vessels, extracellular matrix, fibroblasts, mononuclear immune cells, and multinucleated macrophages. During scaffold degradation, this microenvironment required large amounts of glucose, thereby reducing fasting blood glucose levels while decreasing adipose tissue size. This effect may be attributed to the degradation of PLGA into glycolic acid and lactic acid. Lactic acid can regulate cellular metabolism,104,105 suppress macrophage inflammatory activity, and increase the expression of Glut1 in adipocytes.106 This finding is particularly promising for obese patients with diabetes. Glut1 facilitates glucose uptake without requiring insulin or other hormones and induces the expression of glucose transport proteins and local high levels of insulin-like molecules.103

    New Strategies and Challenges

    Despite significant advancements in diagnosing obesity, pharmacological and surgical interventions, adverse effects remain a major challenge in clinical practice. However, the swift progress of traditional Chinese medicine (TCM) for obesity is reshaping the treatment landscape. Unlike conventional methods, TCM focuses on regulating meridians and qi-blood to enhance energy expenditure or reduce energy intake. It places more emphasis on the internal microenvironment and cellular function, improving the patient’s quality of life with minimal side effects.107 Moreover, the high biocompatibility and safety of PGA/PLGA materials have broadened their application in obesity treatment. Current research indicates that these materials do more than stimulate acupoints; they also enhance adipocyte activity through their metabolic processes. Moving forward, the rapid evolution of treatments based on synthetic polymers is setting the stage for the development of effective clinical practices for combating obesity.

    Nevertheless, the effectiveness of TCM for obesity varies, demonstrating better results in certain patient constitutions.14 In addition, the lack of biomarkers to accurately measure treatment efficacy remains the greatest challenge to achieving personalized treatments in precision medicine for obesity, as it is not possible to assess a patient’s response to existing treatments. Meanwhile, we must acknowledge that while many clinical studies have yielded meaningful results, those with significantly positive outcomes remain limited. A primary limitation of TEA lies in the absence of standardized treatment protocols, including acupoint selection, embedding depth, and frequency. To address these issues, high-quality clinical research and the establishment of relevant guidelines are essential. Some researchers have already made progress. For example, one RCT involving 216 obese participants yielded positive outcomes 60. Based on these findings, we firmly believe that TEA holds significant potential to address current limitations and drive the rapid development of non-pharmacological obesity treatments in clinical practice. This also represents a primary research direction for the future application of novel polymeric synthetic materials in obesity treatment.

    Conclusion

    This article introduces PGA/PLGA thread embedding acupuncture as an innovative approach for obesity. With its ease of use, high safety, and long-lasting effects, it has gradually replaced acupuncture as a popular method in traditional Chinese medicine for obesity management. Our study shows multiple clinical studies using PGA/PLGA thread embedding acupuncture for obesity and suggests that it is associated with multiple mechanisms. It mitigates inflammatory states, boosts adipose tissue metabolism, adjusts the gut microbiota, and modulates the neuroendocrine system, collectively aiding in metabolic enhancement and weight reduction. The high biocompatibility of PGA/PLGA materials could promote the future development of TEA for obesity. However, the main challenge of TEA is the lack of standardised treatment protocols, including acupoint selection, embedding depth and frequency. With the advantages of fewer adverse events and higher compliance, TEA is particularly suitable for the long-term prevention and control of obesity. With the advantages of fewer adverse events and higher compliance, acupoint acupuncture is particularly suitable for the long-term prevention and control of obesity. Furthermore, through the precise matching of acupoints and the design of personalised treatment plans, TEA is expected to achieve a breakthrough in the field of obesity precision medicine.

    Ethics Statement

    This medical review does not require approval from an ethics committee due to its nature and scope. It primarily involves the synthesis and analysis of existing medical literature and research, without conducting any original research studies or clinical trials that would require ethical review. As a result, the ethical considerations that typically apply to research studies do not apply to this medical review.

    Acknowledgments

    Jinkun Wang, Kangdi Cao and Zhaoyi Chen are co-first authors. 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

    This work is financially supported by Capital’s Funds for Health Improvement and Research (2024-1-2232), Beijing Natural Science Foundation (7232271), Beijing Hospital Management Center “peak” talent training plan team (DFL20241001).

    Disclosure

    The author (s) report no conflicts of interest in this work.

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  • Association between the healthy eating index and sarcopenia in Chinese elderly: a cross-sectional study | BMC Geriatrics

    Association between the healthy eating index and sarcopenia in Chinese elderly: a cross-sectional study | BMC Geriatrics

    Study population

    CLHLS is an extensive and ongoing longitudinal study on the determinants of healthy longevity in China. The CLHLS utilized a multistage stratified cluster sampling approach, implemented across 22 provinces selected from China’s 31 provincial administrative divisions. A total of 631 municipal and county units were randomly chosen through this framework, collectively encompassing approximately 85% of the national population [15].

    All participants provided paper-based informed consent before data collection. During the data collection procedure, only the participant and the interviewer were present. The study was approved by the Biomedical Ethics Committee of Peking University, Beijing, China (IRB00001052–13074) [15].

    This cross-sectional study utilizes data from the 2018 wave of CLHLS, which was conducted between 2017 and 2018 and comprised of a total of 15,874 respondents, with 12,411 of them being newly interviewed in 2018. The dataset was freely downloaded from Peking University Open Research Data (http://opendata.pku.edu.cn/). After excluding participants without complete dietary information to calculate the healthy eating index and those with missing data on key variables for assessing sarcopenia, a total of 14,257 participants aged 60 years and older were included. The detailed flowchart is shown in Fig. 1.

    Fig. 1

    Flowchart of participants included in the CLHLS 2018

    Calculation of the healthy eating index HEI

    The HEI score was calculated based on previously established methods with modified according to the CLHLS dietary information [10, 16, 17]. The current consumption frequency of 13 food groups, used to construct the HEI, was collected through face-to-face interviews by trained interviewers using structured food frequency questionnaire. These food groups included vegetables, fruits, meats, fish, eggs, beans and their products, tea, garlic, nuts, mushrooms or algae, dairy products, salt-preserved vegetables, and sugar.

    Scores were assigned to each food group’s consumption frequency as follows: For vegetables and fruits, scores ranged from 0 to 3, with “rarely or never” scoring 0, “occasionally” scoring 1, “except in winter” scoring 2, and “almost every day” scoring 3. For the other 11 food groups, scores were assigned based on the frequency of consumption as follows: “rarely or never” scored 0 points, “not every month, but occasionally” scored 1 point, “not every week, but at least once a month” scored 2 points, “not every day, but at least once a week” scored 3 points, and “almost every day” scored 4 points, while sugar and salt-preserved vegetables were reverse scored [16].

    Finally, the score of each food group was summed together to obtain the HEI score of participants. The HEI score ranged 0 ~ 50 with the higher HEI score representing a healthier diet.

    Assessment of sarcopenia

    As described in previous studies in CLHLS [18], the SARF-C questionnaire, a widely used screening tool for sarcopenia with good internal consistency reliability (Cronbach’s α varied from 0.76 to 0.81) in three cohorts and low sensitivity (13.7–37.9%) but high specificity (94.8–98.1%) in Chinese community elders [19,20,21], was employed in this study. The questionnaire consists of five questions assessing strength, assistance walking, rising from a chair, climbing stairs, and falls, as described previously with slight modifications [22].

    In brief, in the CLHLS, the strength was measured by the question, “Are you able to carry a 5 kg weight?” Assistance walking was assessed by the question, “Are you able to walk one kilometer?” Climbing stairs was not directly measured in the CLHLS but was substituted with the question, “Are you able to crouch and stand three times?” to assess lower limb performance. For both the strength and walking questions, scores were assigned as follows: 2 points for “yes,” 1 point for “a little difficult,” and 0 points for “unable to do so.”

    Rising from a chair was assessed by the question, “Are you able to stand up from sitting in a chair?” with 2 points for “yes, without using hands,” 1 point for “yes, using hands,” and 0 points for “no.” Falls were measured by the number of falls in the past year, with 2 points assigned for four or more falls, 1 point for 1 to 3 falls, and 0 points for no falls.

    The total SARC-F score ranges from 0 to 10, with respondents considered to have sarcopenia with the SARC-F score ≥ 4 in this study [22, 23].

    Potential covariables

    Potential confounding factors, which include socio-demographic characteristics (sex, age, residence, co-residence type, economic status, marital status, education level) and health-related factors (smoking, drinking, physical activity, health status, body mass index [BMI], and chronic disease status), were selected based on prior evidence of their associations with sarcopenia and diet, and were adjusted to improve the accuracy of the results [2, 7]. The adjusted social-demographic factors and some health-related factors, including smoking, alcohol consumption, physical activity and history of diseases were collected by trained interviewer through face-to-face interview.

    Age were categorized into two groups:<75 years and ≥ 75 years. Co-residence type was categorized into two groups: “alone” for participants who lived alone, and “not alone” for those who lived in an institution or with household members. Education level was categorized into four groups based on the years of education: Illiterate (0 years), Primary school (1 ~ 6 years), Middle school (7 ~ 9 years) and High school or above (≥ 10 years). Marital status was stratified into two groups: “currently married and living with spouse/cohabiting” and “separated/divorced/widowed/never married.” Economic status was categorized as “difficulty,” “average,” or “wealthy” according to participants’ responses to the question, “How do you rate your economic status compared with other local people?” Smoking, drinking, and exercise habits were classified into three groups: “never,” “former,” and “current.” Health status was assessed and stratified into three distinct categories by trained interviewers: (1) “surprisingly healthy” for participants reporting no chronic conditions and maintaining full functional independence; (2) “relatively healthy” for those with only minor ailments but preserving basic daily functioning; and (3) “ill” for individuals with moderate to major degrees of major ailments or illnesses or with significant functional impairments. BMI was calculated as weight (kg)/[height (meter)]2 and divided into four groups(underweight [< 18.5 kg/m2], normal [18.5 kg/m2 ≤ BMI < 24 kg/m2], overweight [24.0 kg/m2 ≤ BMI < 28.0 kg/m2] and obesity[BMI ≥ 28 kg/m2]) according to China Working Group criteria [24]. A history of hypertension is asserted for participants with SBP ≥ 140 mmHg and (or) DBP ≥ 90 mmHg, or who have been diagnosed by a doctor or are currently taking medication for hypertension. A history of diabetes, heart disease, stroke, and cancer is asserted if participants have been diagnosed by a doctor or are currently taking medication for these conditions.

    Statistic methods

    Demographic characteristics of the study subjects were summarized using standard descriptive methods. HEI scores were analyzed both as a continuous variable and as quartiles (Q1-Q4). Variance analysis or Kruskal-Wallis test was used for continuous variables and the chi-square test was used for categorical variables to compared the difference between quartiles of HEI.

    Three logistic regression models were built to explore the association between HEI and sarcopenia. Specifically, Model 1 was the crude model, Model 2 adjusted for sociodemographic factors, including age, sex, residence, co-residence type, economic status, marital status, and education level. Model 3 additionally included smoking, drinking, physical activity, health status, BMI and history of diseases. Model diagnostics including Hosmer-Lemeshow goodness-of-fit test and Nagelkerke’s R² were performed to confirm model appropriateness [25].

    In addition to analyzing HEI scores as a continuous variable, the association was also assessed using HEI quartiles (Q1-Q4) as a categorical variable. A trend test (P-trend) was performed with the medium of the HEI within each category to assess whether the association showed a significant decreasing trend across increasing HEI quartiles [26]. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to quantify the associations. Finally, subgroup analysis was performed with multiple logistic regression models to evaluate the consistency of observed results between different predefined subgroups, considering potential effect modifier such as age, gender, marital status, Residential area, co-residence type, economic status and physical activity.

    Missing values in covariates were handled using ‌Markov Chain Monte Carlo (MCMC)-based multiple imputation‌. Five imputed datasets were generated with 20 iterations, and pooled estimates (OR and 95% CI) were derived via Rubin’s rules to minimize bias [27].

    Restricted cubic splines (RCS) were utilized to investigate potential non-linear relationships between HEI and prevalence of sarcopenia. In the spline models, the 10th percentile of the ln-transformed HEI distribution was set as the reference value (OR = 1.00), with knots at the 5th, 35th, 65thand 95th percentiles and adjusted for covariables in model 3 [28].All statistical analyses were conducted using SPSS version 26.0 (IBM Corp., Armonk, NY, USA) and R version 4.0.0 (R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was defined as a two-tailed P-value < 0.05.

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  • Type 2 diabetes mellitus with chronic kidney disease benefits from long-term restriction of dietary protein intake: a 10-year retrospective cohort study | BMC Nutrition

    Type 2 diabetes mellitus with chronic kidney disease benefits from long-term restriction of dietary protein intake: a 10-year retrospective cohort study | BMC Nutrition

    Results of the T2DM with CKD cohort

    Baseline data characteristics

    As demonstrated in Supplementary Fig. 1, which outlines the pre-PSM screening process, 856 patients were preliminarily assessed, with 36 subsequently excluded. Exclusions were 21 cases of co-infection, 10 cases of concomitant malignant tumors, and 5 patients with thyroid disease or cirrhosis. Ultimately, 820 patients were included in the final analysis. Over an average follow-up period of 33.36 months, 277 patients reached the study endpoint (initiation of dialysis, progression to ESRD, renal transplant, serum creatinine doubling, cardiovascular and cerebrovascular diseases). These included 172 patients who progressed to ESRD, 58 patients with a 50% decline in eGFR from baseline, and 47 patients who experienced major cardiovascular or cerebrovascular events.

    PSM analysis of the T2DM with CKD cohort

    As shown in Supplementary Fig. 2, variables matched using propensity scores included key clinical characteristics such as sex, age, baseline SCr, and UACR. Matching was performed in a 1:1:1 ratio with a caliper value of 0.2. The balance of propensity scores across the three dietary regimen groups was evaluated using a multi-balance test.

    Following 1:1:1 matching, a total of 168 patients were divided into three groups with different DPIsUCR levels in the final analysis, as shown in Fig. 1. After an average follow-up period of 32.94 months, 53 patients reached the study endpoint. Among them, 34 progressed to end-stage renal disease, 13 experienced a 50% reduction in eGFR from baseline, and 6 had cardiovascular or cerebrovascular events. The enrollment process is detailed in Fig. 1.

    In the original cohort, baseline characteristics such as gender, age, and eGFR showed significant differences among the three groups. However, after matching, these differences were balanced, as detailed in Table 1. For instance, the baseline ages of the three groups were [57.50 (50.00, 63.00) vs. 57.00 (51.75, 62.00) vs. 55.50 (50.50, 62.00) years, P = 0.672], and baseline renal function (eGFR) values were [46.89 (34.15, 73.23) vs. 55.85 (37.70, 79.26) vs. 51.98 (34.80, 90.05) ml/min/1.73 m², P = 0.548]. Other baseline characteristics also achieved balance.

    Table 1 Demographic and biochemical characteristics of enrolled T2DM with CKD patients before and after propensity score matching

    Baseline utilization rates of renoprotective medications were comparable across CKD stages (Table 1). Among patients with CKD stages 1–3, RAS inhibitors (RASi) were the most commonly prescribed medications, followed by SGLT2 inhibitors (SGLT2i), mineralocorticoid receptor antagonists (MRAs), and GLP-1 receptor agonists (GLP-1 analogues), both before and after PSM. In CKD stage 4, the proportions of medication use were similar. Statistical comparisons revealed no significant differences in medication use between CKD stages 1–3 and stage 4 (all p > 0.05; Chi-square tests).

    Fig. 1

    Flowchart of patients in the T2DM with CKD cohort after propensity score matching. Abbreviation: DPIsUCR dietary protein intake based on sUCR equation

    Real-world prognosis analysis of DPIsUCR formula in T2DM with CKD cohort

    In the matched cohort, we used the Kaplan-Meier curve to assess the relationship between three different DPIsUCR levels and all-cause mortality. As shown in Fig. 2a, the survival curve for patients in the LPD group (DPIsUCR <0.8 g/kg·d), calculated using the DPIsUCR formula, was superior to that of the higher-protein diet group (DPIsUCR >1.0 g/kg·d). Additionally, Fig. 2b illustrates that for CKD stages 3–4 patients, the survival curve for the low-protein diet group (DPIsUCR <0.8 g/kg·d) remained better over time compared to the higher-protein group (DPIsUCR >1.0 g/kg·d), with statistically significant results. To assess whether significant survival differences existed among patients in different dietary protein groups (based on DPIsUCR), we performed both univariate and multivariate Cox regression analyses (Supplementary Table 1). The univariate Cox analysis revealed that, compared to patients with DPIsUCR >1.0 g/kg·d, those with DPIsUCR <0.8 g/kg·d had a 44% lower risk. After adjusting for age, sex, smoking history, SBP, HbA1c, Alb, UA, LDLC, and eGFR in the multivariate Cox regression analysis, the risk for patients with DPIsUCR <0.8 g/kg·d was reduced by 54% compared to those with DPIsUCR >1.0 g/kg·d.

    After PSM, patients with DPIsUCR <0.8 g/kg·d had a 56% lower risk of reaching the endpoint compared to those with DPIsUCR >1.0 g/kg·d in the univariate Cox analysis. With further adjustments for age, sex, smoking history, HbA1c, eGFR, UA, and LDLC in the multivariate Cox analysis, the risk for patients with DPIsUCR <0.8 g/kg·d was reduced by 63% compared to those with DPIsUCR >1.0 g/kg·d.

    Subgroup analysis

    In this study, we explored heterogeneity by conducting subgroup analyses of both original and propensity score-matched cohorts. As illustrated in Fig. 3(a-b), subgroup analyses were stratified by gender, age, comorbidities, SBP, HbA1c, Alb, UACR, eGFR, DPIsUCR, and other indicators, integrating results from univariable Cox analyses (Supplementary Table 1) with clinical risk factors. Before matching, subgroups with significantly lower risks (HR < 1) included: Female patients (HR 0.70, 95% CI 0.53–0.91; p = 0.009), Age ≥ 60 years (HR 0.69, 95% CI 0.51–0.92; p = 0.012) and Alb ≥ 30 g/L (HR 0.57, 95% CI 0.40–0.80; p = 0.001). Subgroups with elevated risks (HR > 1) were: UACR ≥ 300 mg/g (HR 2.79, 95% CI 1.97–3.95; p < 0.001), eGFR 30–59 ml/min/1.73 m² (HR 1.71, 95% CI 1.23–2.23; p = 0.002), eGFR < 30 ml/min/1.73 m² (HR 5.54, 95% CI 3.79–8.10; p < 0.001) and DPIsUCR >1.0 g/kg·d (HR 1.48, 95% CI 0.91–2.41; p < 0.001). After matching, the risk associations were further refined. Protective subgroups (HR < 1) were: Female (HR 0.29, 95% CI 0.13–0.67; p = 0.004) and Alb ≥ 30 g/L (HR 0.35, 95% CI 0.15–0.82; p = 0.015). High-risk subgroups (HR > 1) were: HbA1c ≥ 7.0% (HR 2.41, 95% CI 1.09–5.31; p = 0.029), UACR ≥ 300 mg/g (HR 5.14, 95% CI 1.88–14.02; p = 0.001), eGFR < 30 ml/min/1.73 m² (HR 11.58, 95% CI 4.51–29.75; p < 0.001) and DPIsUCR >1.0 g/kg·d (HR 3.53, 95% CI 1.54–8.09; p = 0.003). Notably, male patients and those with Alb < 30 g/L, UACR ≥ 300 mg/g, eGFR < 30 ml/min/1.73 m², and DPIsUCR >1.0 g/kg·d consistently exhibited poorer prognosis in both cohorts (p < 0.05). The strengthened hazard ratios (e.g., eGFR < 30 subgroup increased from HR = 5.54 to 11.58) and narrower confidence intervals post-matching suggest improved estimation precision, reinforcing these factors as robust independent prognostic markers.

    Fig. 2
    figure 2

    Kaplan-Meier survival curves for the Composite Endpoint, grouped by DPIsUCR levels. a: Kaplan-Meier curve for the Composite Endpoint within all T2DM with CKD patients. b: Kaplan-Meier curve for the Composite Endpoint within CKD 3 ~ 4 patients. Abbreviation: DPIsUCR dietary protein intake based on sUCR equation; T2DM type 2 diabetes mellitus; CKD chronic kidney disease

    Fig. 3
    figure 3

    The subgroup analysis in T2DM CKD patients with DPIsUCR equation. The subgroup analyses were conducted using a stratified Cox proportional-hazards re-gression model across various subgroups. a: Subgroup analyses of primary T2DM with CKD cohort. b: Subgroup analyses of T2DM with CKD cohort after PSM. Abbreviation: SBP systolic blood pressure, HGB hemoglobin, eGFR estimated glomerular filtration rate, DPIsUCR dietary protein intake based on sUCR equation, UA uric acid, LDLC low-density lipoprotein, HbA1c, glycated hemoglobin, UACR urine albumin to creatinine ratio; T2DM type 2 diabetes mellitus; CKD chronic kidney disease; PSM propensity score matching

    To balance the influence of time-related variables, we incorporated time-averaged parameters including TA-DPIsUCR and TA-eGFR into the analysis, as shown in Fig. 4(a-b). Subgroup analyses revealed distinct prognostic patterns across cohorts. In the original unmatched cohort, female sex demonstrated protective effects (HR 0.73, 95% CI 0.56–0.94; p = 0.017), while elevated risks were observed in subgroups with TA-eGFR 30–59 ml/min/1.73 m² (HR 2.18, 95% CI 1.50–3.15; p < 0.001) and TA-eGFR < 30 ml/min/1.73 m² (HR 12.28, 95% CI 8.65–17.45; p < 0.001). Following PSM, the risk stratification intensified significantly. The protective association with female sex became more pronounced (HR 0.29, 95% CI 0.13–0.61; p = 0.001). High-risk subgroups now included both TA-DPIsUCR and TA-eGFR categories: TA-eGFR 30–59 ml/min/1.73 m² (HR 3.09, 95% CI 1.25–7.68; p = 0.015), TA-eGFR < 30 ml/min/1.73 m² (HR 21.53, 95% CI 8.14–56.98; p < 0.001), TA-DPIsUCR 0.8–1.0 g/kg·d (HR 2.73, 95% CI 1.35–5.53; p = 0.022) and TA-DPIsUCR >1.0 g/kg·d (HR 3.03, 95% CI 1.17–7.83; p = 0.022). This matched analysis revealed a striking dose-response relationship between proteinuria severity (TA-DPIsUCR) and adverse outcomes, while confirming the critical prognostic value of sex and renal dysfunction (TA-eGFR) thresholds. The results from both the original and matched cohorts indicated that the prognosis was worse in the subgroup of males with eGFR < 30 ml/min/1.73 m², and DPIsUCR >1.0 g/kg·d.

    Results of the NHANES cohort

    Baseline data characteristics

    The flowchart of enrolled patients is detailed in Supplementary Fig. 3 to show the inclusion process before PSM. This study initially screened 101,316 patients and excluded 99,593 patients, consisting of 43,737 patients who were younger than 18 years or older than 80 years, 3,545 patients with incomplete weight and height data, and 3,399 patients with incomplete urea nitrogen or creatinine values. Additionally, 48,392 patients were excluded due to missing 24-hour dietary review data or having two dietary protein intakes at the same level, 173 patients with an eGFR < 15 ml/min/1.73 m² or who had started dialysis at enrollment, and 347 patients who died of malignant tumors. Ultimately, 1,723 patients were included in the analysis.

    Fig. 4
    figure 4

    Time-average subgroup analysis in patients with T2DM with CKD with the DPIsUCR equation. a: Time-average analyses of the primary T2DM with CKD cohort. b: Time-average analyses of the T2DM with CKD cohort after PSM. Abbreviation: TA-DPIsUCR time average dietary protein intake based on sUCR equation; TA-eGFR time average esti-mated glomerular filtration rate; T2DM type 2 diabetes mellitus; CKD chronic kidney dis-ease; PSM propensity score matching

    Participants were grouped based on their DPIsUCR levels, with 694, 811 and 218 patients in three groups respectively. After an average follow-up period of 87.63 months, a total of 489 patients reached the observation endpoint (heart diseases, cerebrovascular diseases and all-cause mortality), which included 190 patients with heart disease and 29 patients with cerebrovascular disease as the cause of death.

    PSM analysis of the NHANES cohort

    As shown in Supplementary Fig. 4, variables matched among the three dietary regimen groups included key clinical characteristics such as sex, age and baseline SCr. The balance of these characteristics across the three groups was assessed using a multi-balance test.

    After matching, a total of 390 patients were included in the final analysis. With an average follow-up period of 87.19 months, 121 patients reached the study endpoint, including 46 patients developed heart disease, 6 patients experienced cerebrovascular events, and the rest with other causes. The enrollment process is detailed in Fig. 5.

    In the original cohort, significant differences in baseline characteristics such as gender, age, and eGFR were observed among the three groups. However, after matching, these differences were balanced, as detailed in Table 2. For example, the baseline ages of the three groups were [73.00 (66.00, 78.75) vs. 72.50 (65.25, 79.00) vs. 73.00 (65.00, 80.00) years, P = 0.925], and baseline renal function (eGFR) values were [52.03 (44.62, 57.23) vs. 52.17 (42.70, 57.53) vs. 51.69 (39.69, 59.18) ml/min/1.73 m², P = 0.995]. Other baseline characteristics also showed balance.

    Table 2 Demographic and biochemical characteristics of enrolled NHANES participants before and after propensity score matching
    Fig. 5
    figure 5

    Flowchart of the NHANES enrolled participants after propensity score matching. Abbreviation: DPIsUCR dietary protein intake based on sUCR equation

    Real-world prognosis analysis of DPIsUCR equation in CKD 1 ~ 4 patients

    In the matched cohort, Kaplan-Meier survival analysis was applied to evaluate the relationship between different DPIsUCR levels and all-cause mortality. As shown in Fig. 6a, patients in the restricted protein diet group (DPIsUCR < 0.8 g/kg·d) exhibited a better survival curve compared to those in the higher protein intake group (DPIsUCR > 1.0 g/kg·d). Specifically, in patients with CKD stage 3 (Fig. 6b), the survival curve of the restricted protein group (DPIsUCR < 0.8 g/kg·d) was significantly better than that of the higher protein intake group (DPIsUCR > 1.0 g/kg·d) over time. However, in CKD patients with diabetes (Fig. 6c), although the survival curve of the restricted protein group appeared better, the difference did not reach statistical significance.

    To further validate the robustness of these findings, univariate Cox regression analysis was performed on the cohorts before and after matching as presented in Supplementary Table 2. Before matching, patients with DPIsUCR < 0.8 g/kg·d had a 63% reduction in all-cause mortality compared to those with DPIsUCR > 1.0 g/kg·d. After adjusting for confounding factors such as age, sex, smoking history, diabetes status, SBP, HbA1c, Alb, UA, CHOL and HDLC, the mortality reduction was 47% for patients with DPIsUCR < 0.8 g/kg·d compared to those with DPIsUCR > 1.0 g/kg·d.

    In the matched cohort, after correcting for variables such as age, sex, smoking history, HbA1c, eGFR, UA, and HDLC, patients with DPIsUCR < 0.8 g/kg·d had a 50% lower risk of all-cause mortality compared to those consuming more than 1.0 g/kg·d of dietary protein.

    Fig. 6
    figure 6

    The prognostic analysis of different DPI in CKD patients with DPIsUCR equation. a: Kaplan-Meier curve for the Composite Endpoint within all CKD patients. b: Kaplan-Meier curve for the Composite Endpoint within CKD stage 3 patients. c: Kaplan-Meier curve for the Composite Endpoint within DKD patients. Abbreviation: DPIsUCR dietary protein intake based on sUCR equation

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  • Investigators compare trimodal therapy vs cystectomy in MIBC

    Investigators compare trimodal therapy vs cystectomy in MIBC

    Investigators for a recent study published in JAMA Network Open aimed to compare the value of trimodal therapy and cystectomy for muscle-invasive bladder cancer from a US health care perspective.1 This research was spurred by a 2023 Lancet Oncology retrospective analysis that found no significant difference in metastasis-free and overall survival between the 2 treatments in specific patient cohorts.2 The patients in that earlier study had solitary tumors less than 7 cm, unilateral or no hydronephrosis, adequate bladder function, and no multifocal or extensive carcinoma in situ.

    For the current study, Daniel D. Joyce, MD, MS, and co-authors sought to address the remaining questions about the value of these treatments. Their findings indicated that although trimodal therapy improved the quality of life for patients with muscle-invasive bladder cancer compared with cystectomy, its significantly higher cost made it not cost-effective for society. The initial cost of trimodal therapy in their model was around $40,000.

    A key aspect of their research involved sensitivity analysis to understand how varying parameters impact cost-effectiveness. They identified 2 main factors that would make trimodal therapy cost-effective: a substantial reduction in its cost to approximately $17,000, and an 11% improvement in the absolute risk reduction of metastases compared with cystectomy. This highlights current knowledge gaps regarding the comparative effectiveness of these treatments and the scarcity of long-term toxicity data for trimodal therapy, which affects both quality of life and effectiveness.

    REFERENCES

    1. Joyce DD, Wymer KM, Graves JA, et al. Cost-effectiveness of trimodal therapy and radical cystectomy for muscle-invasive bladder cancer. JAMA Netw Open. 2025;8(6):e2517056. doi:10.1001/jamanetworkopen.2025.17056

    2. Zlotta AR, Ballas LK, Niemierko A, et al. Radical cystectomy versus trimodality therapy for muscle-invasive bladder cancer: a multi-institutional propensity score matched and weighted analysis. Lancet Oncol. 2023;24(6):669-681. doi:10.1016/S1470-2045(23)00170-5

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  • AI Uncovers Breakthrough Treatment For Rare Genetic Disorder

    AI Uncovers Breakthrough Treatment For Rare Genetic Disorder

    A team of researchers from the Wyss Institute at Harvard University developed a promising new treatment for a severe genetic disorder, powered by artificial intelligence. The breakthrough utilizes an AI-driven drug discovery process with innovative disease modeling to identify a potential therapy for Rett syndrome, a disorder primarily affecting girls.

    Researchers identified vorinostat, a medicine used to manage cutaneous T cell lymphoma, as a potential therapy.

    AI Battles Rett Syndrome

    Photo: Have a nice day/Shutterstock

    Rett syndrome affects approximately 1 in 10,000 girls globally. Mutations in the MeCP2 gene cause the disease and are historically viewed as a neurological disorder. However, it also impacts non-neurological systems, such as the digestive, musculoskeletal, and immune systems. This makes it difficult to develop a treatment.

    The Wyss Institute team’s study was published in Communications Medicine.

    Researchers discovered that vorinostat showed promising disease-modifying abilities across neuronal and non-neuronal tissues. In preclinical models, it was “superior” to trofinetide, the only current approved treatment.

    A key was the Wyss Institute’s computational algorithm, nemoCAD. The AI approach analyzes changes across gene networks across multiple organ systems to predict drug candidates. Traditionally, drug prediction targets a single molecule. Wyss Institute’s “target-agnostic” method rapidly and effectively identified potential therapies.

    Researchers used genetically engineered Xenopus laevis tadpoles that replicated Rett syndrome features to model the disease. The team compared gene expression changes in the modified tadpoles to healthy ones. NemoCAD then predicted drugs to reverse the pathological changes. Finally, vorinostat emerged as a top candidate. According to the researchers, it significantly suppressed symptoms such as seizures, unusual movements, and gastrointestinal issues in the modified tadpole models.

    “The identification and further development of vorinostat as the potentially first curative treatment for Rett syndrome would not have been possible without our unique AI-enabled computational approach to drug discovery, and its combination with an innovative disease model that broadly mimics the features of Rett syndrome,” said Donald Ingber, M.D., Ph.D., senior author and Wyss Founding Director.

    Vorinostat is already FDA-approved for treating a blood disease. Unravel Biosciences, a Wyss-enabled startup, is now repurposing it for Rett Syndrome.


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  • Chinese study uncovers cancer-fighting potential of impotence drugs like Viagra

    Chinese study uncovers cancer-fighting potential of impotence drugs like Viagra

    Men around the world dealing with sexual impotence have been treated for years with the drug sildenafil, sold under brand names including the well-known Viagra.

    A new Chinese study now suggests that the drug may perhaps also help to save lives.

    Sildenafil could combat cancer by strengthening a group of key anti-tumour immune cells, according to the study by researchers from China’s Westlake University, Zhejiang University, Peking Union Medical College and Shanghai Institute of Immunology.

    Dendritic cells, which act as the “intelligence agents” of the immune system, can become severely depleted or functionally impaired as the tumour progresses. According to the researchers, sildenafil could reverse the process and help to restore the cells.

    The researchers, led by Westlake cancer immunology specialist Zhou Ting, published their findings in the peer-reviewed journal Nature on June 25.

    In an article posted on its social media account the same day, the university hailed the discovery as a possible new “form of tumour immunotherapy strategy”.

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  • New research confirms that neurons form in the adult brain: Study

    New research confirms that neurons form in the adult brain: Study

    Solna [Sweden], July 5 (ANI): Researchers from Sweden have discovered that the human brain continues to grow new cells in the memory region–called the hippocampus–even into old age.

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    Using advanced tools to examine brain samples from people of all ages, the team identified the early-stage cells that eventually become neurons.

    These findings confirm that our brains remain more adaptable than previously believed, opening the door to potential treatments for memory loss and brain-related disorders.

    The study has been published in the journal Science. It presents compelling new evidence that neurons in the brain’s memory centre, the hippocampus, continue to form well into late adulthood.

    The research has been done by the scientists of Karolinska Instituet in Sweden.

    The hippocampus is a brain region that is essential for learning and memory and involved in emotion regulation.

    Back in 2013, Jonas Frisen’s research group at Karolinska Instituet showed in a high-profile study that new neurons can form in the hippocampus of adult humans.

    The researchers then measured carbon-14 levels in DNA from brain tissue, which made it possible to determine when the cells were formed.

    Identifying cells of origin

    However, the extent and significance of this formation of new neurons (neurogenesis) are still debated. There has been no clear evidence that the cells that precede new neurons, known as neural progenitor cells, actually exist and divide in adult humans.

    “We have now been able to identify these cells of origin, which confirms that there is an ongoing formation of neurons in the hippocampus of the adult brain,” says Jonas Frisen, Professor of Stem Cell Research at the Department of Cell and Molecular Biology, Karolinska Institutet, who led the research.

    From 0 to 78 years of age

    In the new study, the researchers combined several advanced methods to examine brain tissue from people aged 0 to 78 years from several international biobanks.

    They used a method called single-nucleus RNA sequencing, which analyses gene activity in individual cell nuclei, and flow cytometry to study cell properties.

    By combining this with machine learning, they were able to identify different stages of neuronal development, from stem cells to immature neurons, many of which were in the division phase.

    To localise these cells, the researchers used two techniques that show where in the tissue different genes are active: RNAscope and Xenium.

    These methods confirmed that the newly formed cells were located in a specific area of the hippocampus called the dentate gyrus. This area is important for memory formation, learning and cognitive flexibility.

    The results show that the progenitors of adult neurons are similar to those of mice, pigs and monkeys, but that there are some differences in which genes are active.

    There were also large variations between individuals – some adult humans had many neural progenitor cells, others hardly any at all. (ANI)

    (This content is sourced from a syndicated feed and is published as received. The Tribune assumes no responsibility or liability for its accuracy, completeness, or content.)


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  • Lasers and light replace the cuff in blood pressure breakthrough

    Lasers and light replace the cuff in blood pressure breakthrough

    Imagine checking your blood pressure as easily as glancing at a smartwatch, without the squeeze of a cuff interrupting your day.

    Researchers at Boston University have taken a major step toward making that future a reality. For the first time, they’ve demonstrated that speckle contrast optical spectroscopy (SCOS) can monitor blood pressure without a cuff.


    “Hypertension affects nearly half of all adults in the U.S. and is the leading cause of cardiovascular disease,” said Ariane Garrett, a doctoral student in Darren Roblyer’s lab at Boston University.

    “This research is a step toward a wearable device that would let people monitor their blood pressure anytime, without a cuff.”

    The study shows that SCOS can capture blood flow and volume information simultaneously using a small optical device placed on the wrist or finger, providing up to 31 percent greater accuracy in estimating blood pressure compared to using blood volume signals alone.

    This could improve early detection of hypertension, including masked hypertension that may go unnoticed in clinic readings.

    Understanding blood pressure

    Blood pressure is the force your blood exerts against the walls of your arteries as your heart pumps it around your body.

    It’s measured using two numbers: systolic pressure (the higher number) is the pressure when your heart beats, and diastolic pressure (the lower number) is the pressure when your heart rests between beats.

    Together, these numbers give a snapshot of how hard your heart is working and how relaxed your blood vessels are. A normal reading typically falls around 120/80 mmHg, but this can vary depending on age, activity, and health.

    When blood pressure climbs too high – what doctors call hypertension – it can quietly damage your body over time. Your arteries may stiffen, your heart may strain, and your risk for stroke, heart attack, and kidney problems goes up.

    On the flip side, if your blood pressure drops too low, your body may not get enough oxygen-rich blood, which can make you feel dizzy or faint.

    Light reveals blood pressure patterns

    SCOS works by analyzing patterns created when coherent laser light scatters from moving red blood cells and tissues. Previously used for brain blood flow, the technique now opens new doors for cuffless blood pressure monitoring.

    “Studies show that tracking blood pressure throughout the day, and especially at night, provides a better picture of someone’s health,” Roblyer said.

    “A wearable version of our device would be easier and more comfortable for patients, and could help doctors catch conditions like masked hypertension, where clinic readings don’t reflect the true blood pressure.”

    The technology’s ability to monitor blood pressure continuously and comfortably is crucial because traditional cuff-based measurements in clinics often capture only a snapshot of a person’s cardiovascular health, missing critical fluctuations throughout the day and night.

    Turning light into insight

    The work began as a collaboration between Boston University and Meta Platforms’ Reality Labs. The team, including co-investigator David Boas, formed a key hypothesis. They believed SCOS waveforms of blood flow and volume held valuable cardiovascular data.

    In 2023, they established a strong correlation between features of blood flow waveforms and blood pressure.

    Their new study shows combining blood flow and volume data improves the accuracy of blood pressure predictions.

    Device design. a. Principle of SCOS measurement. As blood flow and volume increase during systole, speckle contrast and intensity decrease. b. Data processing pipeline. c. Representative BFi and PPG waveforms during one cardiac pulse. d. Measurement set up. e. 532 nm and 808 nm reflective measurements are acquired at the wrist. An 808 nm transmission measurement is acquired at the finger. f. PPG and BFi waveforms at each measurement location. Credit: Boston University
    Device design. a. Principle of SCOS measurement. As blood flow and volume increase during systole, speckle contrast and intensity decrease. b. Data processing pipeline. c. Representative BFi and PPG waveforms during one cardiac pulse. d. Measurement set up. e. 532 nm and 808 nm reflective measurements are acquired at the wrist. An 808 nm transmission measurement is acquired at the finger. f. PPG and BFi waveforms at each measurement location. Click image to enlarge. Credit: Boston University

    “The SCOS device enables us to measure blood pressure much more frequently than a cuff-based device,” Roblyer noted.

    “There has been a lot of research indicating that single time-point measurements of blood pressure using a cuff in a clinician’s office are not a good reflection of a person’s true blood pressure in daily life,” he said. “However, it is difficult to take frequent cuff measurements due to the cumbersome nature of the cuff.”

    Pressure tested during daily activity

    To evaluate their system, the researchers tested SCOS on 30 volunteers. The team captured blood flow and volume data while participants were at rest.

    They also collected data during leg press exercises designed to increase blood pressure. These measurements were compared with readings from a continuous blood pressure monitor for validation.

    Using a machine learning model, the team trained two versions: one using both blood flow and volume signals, and another using only volume data, as current photoplethysmography devices do.

    The combined model showed up to a 31% improvement in accuracy. It reached a 2.26 mmHg error for systolic pressure – a major improvement over current non-invasive methods.

    “Our results showed that SCOS improves blood pressure estimation by enabling simultaneous measurements of blood flow and volume changes using the wrist or finger,” Garrett said. “This opens a new way to track cardiovascular health with optical tools.”

    The path to wearable monitoring

    Encouraged by the results, the team aims to develop a wearable SCOS device for continuous, everyday blood pressure monitoring.

    The plan includes shrinking the system, adding onboard processing, and ensuring accuracy during movement and long-term wear.

    This development aligns with a broader push in healthcare toward non-invasive, continuous monitoring, which could transform hypertension management and prevention.

    Frequent, comfortable monitoring could help patients and doctors detect abnormal trends earlier, adjust treatment in real time, and empower individuals to take a more active role in their cardiovascular health.

    In a world where hypertension silently affects millions, innovations like SCOS could help reduce cardiovascular disease risk. They offer a seamless way to track one of the most critical health measures – without the discomfort of the traditional cuff.

    The study is published in the journal Biomedical Optics Express.

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  • Seroprevalence of sand fly fever Sicilian virus in blood donors in mainland Portugal | Parasites & Vectors

    Seroprevalence of sand fly fever Sicilian virus in blood donors in mainland Portugal | Parasites & Vectors

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