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  • Spotify Messages can reveal your profile to anyone you’ve ever shared music with

    Spotify Messages can reveal your profile to anyone you’ve ever shared music with

    TL;DR

    • Spotify recently introduced a new Messages feature that connects users via past song shares and activities.
    • These connections can expose user identities through trackable URLs shared previously, including with strangers.
    • You can opt out of the Messages feature in your app settings or remove the tracking parameters from URLs before sharing them.

    Spotify recently announced a new Messages feature, adding a layer of communication and social discovery to the music streaming app. Spotify Messages is rolling out to Spotify Free and Premium users aged 16 years and older in select markets on mobile devices. If the feature has already rolled out to you, there is some fine print that you should be aware of, lest you unintentionally expose your identity when you don’t mean to.

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    Reddit user sporoni122 spotted a few “suggested friends” under Spotify Messages that they did not recognize. The user then realized that these were people with whom they had shared music on Spotify in the past. This wasn’t an issue in the past, as the music streaming app had no element of direct social interaction. But now, anyone they have shared music with, including strangers on the internet through Discord or other pseudonymous platforms, can trace them back to the user, see their profile photo and name, and potentially message them.

    As Reddit user Reeceeboii_ highlights, any time you share a song from within Spotify, it generates a unique tracking URL linked to your account. Spotify can join the dots between the sender and receiver whenever anyone clicks on this unique URL. People have allegedly noticed that Spotify has retroactively filled out the history of song shares in the Messages feature, which is possible through these tracking URLs.

    Spotify is far from the first or only app that does this — practically every app, service, and website uses tracking URLs and has been doing so for decades at this point. However, for Spotify users, this might be the first time they notice a tracking URL shaping a social feature, which can be unnerving, especially if they want to retain some anonymity on their Spotify profile.

    You can bypass tracking URLs by removing the query parameter from them. For most URLs, it’s the code that follows the “?.” For example, if the Spotify URL is
    https://open.spotify.com/track/0PsBajvo0g7bLLHxwH3Sk0?si=8dyy8ff75d4a4fa8, then ?si=8dyy8ff75d4a4fa8 is the tracker parameter that can be removed. You lose out on social features that the tracker enables, but chances are that you can live with that trade-off. If you aren’t sure what parts of the URL are essential, you can also use websites like LinkCleaner to clean them easily.

    In its announcement, Spotify explicitly mentioned that it would suggest people to message based on whether you’ve previously shared Spotify content with them, joined Jams, Blends, or collaborative playlists together, or if you share a Family or Duo plan. Users will have the choice to accept or reject message requests from friends and family. If you hate the idea, you can block other users and opt out of Messages entirely through Settings > Privacy and social > Social features.

    Are you excited for Spotify Messages?

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  • IIHF – Mindaugas Kieras, 1980-2025

    IIHF – Mindaugas Kieras, 1980-2025

    The hockey world is mourning the tragic loss of Mindaugas Kieras, 45, who died in a kayaking accident while vacationing in Lithuania. Kieras is survived by his wife and two children.

    Affectionately known as “Minde” in his native Lithuania, Kieras holds the record for the most games played for the Lithuanian men’s national hockey team. The defenseman represented his country 100 times during a stellar national team career, which included skating in an impressive 20 consecutive senior IIHF World Championship tournaments from 1999 to 2018.

    Kieras was known as a rugged blueliner, but off the ice, he was a caring family man with a friendly demeanour and warm smile. After hanging up his skates, he moved into coaching, where his unwavering passion and contribution made an impact right up to the highest echelons of Lithuanian society.

    “We lost an athlete, a coach who was a symbol of his sport in Lithuania,” said Gitanas Nauseda, the President of the Republic of Lithuania. “Mindaugas Kieras literally lived for hockey and sought to pass that love to the younger generation.”

    Named after a 13th-century Lithuanian king, Kieras was born in Elektrenai in 1980. The small-town famous for its power plant and impressive output of hockey players, Kieras came of age at local team Energija Elektrenai. He also had stints abroad in Belarus and Latvia but is best remembered for his eight seasons in British ice hockey.

    At the national team level, 18-year-old Kieras made his debut at the IIHF World Championship Pool C played in Eindhoven and Tilburg, the Netherlands in 1999.

    He became a vital cog of the Lithuania team that in April 2006 came tantalizingly close to securing a spot among the world´s elite. In the promotion decider versus Austria, the Lithuanians took the lead on three separate occasions but ultimately lost 5-3 after conceding three consecutive powerplay goals. It was a bitter pill to swallow for a then 25-year-old Kieras as Lithuania finished second in the group, with the Austrians moving up to compete at the 2007 IIHF World Championship.

    Just 41 days shy of his 38th birthday, Kieras bowed out from the national team in memorable fashion. Lithuania hosted the 2018 IIHF World Championship Division I Group B in Kaunas, which became an overwhelming success.

    The Lithuanian team, featuring former NHL-stars Darius Kasparaitis and Dainius Zubrus went undefeated to win gold and promotion. On April 28, 2018, Kieras stepped out on the ice, captaining Lithuania in his farewell appearance. In front of a boisterous home crowd of 10,170 at the Zalgiris Arena, Lithuania secured a 4-1 victory versus Estonia in Kieras´s 100th game for the Lithuanian national team.  

     

    At the time of his passing, Kieras was the head coach of the reigning Lithuanian champions Hockey Punks Vilnius. In May of this year, he also achieved success as an assistant coach of the Lithuanian men´s national team, securing a gold medal at the 2025 IIHF World Championship Division I Group B in Tallinn, Estonia.

    “Lithuanian ice hockey has lost its leader and symbol of our sport. The Lithuanian Ice Hockey Federation expresses its sincere condolences to the family of Mindaugas Kieras, the deceased coach of the Lithuanian ice hockey team, and the relatives of the deceased,” read a statement from the governing body overseeing ice hockey in Lithuania.

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  • China is using the SCO summit and Victory Day parade to showcase its vision of a new world order – Chatham House

    1. China is using the SCO summit and Victory Day parade to showcase its vision of a new world order  Chatham House
    2. Prime Minister participates in the 25th SCO Summit in Tianjin, China  PIB
    3. China, Russia pledge new global order at Shanghai Cooperation summit  Al Jazeera
    4. China’s new world order  Financial Times
    5. Tianjin summit  Dawn

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  • Efficiency and safety of HAIC combined with lenvatinib and PD-1 inhibi

    Efficiency and safety of HAIC combined with lenvatinib and PD-1 inhibi

    Introduction

    According to 2022 statistics, liver cancer ranks as the sixth most common malignancy and the third leading cause of cancer-related death globally.1 Hepatocellular carcinoma (HCC) constitutes the majority of liver cancer cases. Due to the absence of distinct early-stage symptoms and inadequate surveillance in high-risk populations, most HCC cases are diagnosed at an advanced stage, resulting in a poor prognosis—particularly in the presence of extrahepatic metastases. According to the Barcelona Clinic Liver Cancer (BCLC) staging system, advanced HCC (BCLC stage C) is defined by vascular invasion and/or extrahepatic spread.2 The lungs are the most frequent site of extrahepatic metastasis and are associated with especially poor survival outcomes. While treatment of advanced HCC with vascular invasion has seen steady progress, optimal strategies for managing extrahepatic metastases, especially lung involvement, remain uncertain.

    The presence of lung metastasis signifies advanced-stage HCC, for which systemic therapy is the standard of care. Current systemic options include tyrosine kinase inhibitors (TKIs), anti-angiogenic agents, and immune checkpoint inhibitors (ICIs). Sorafenib, the first approved TKI for advanced HCC, demonstrated a median overall survival (OS) of 10.7 months in the SHARP trial. However, subgroup analysis revealed that sorafenib conferred no significant benefit over placebo in patients with extrahepatic metastases.3 In 2018, lenvatinib was shown to be non-inferior to sorafenib in OS and superior in terms of objective response rate (ORR) among untreated advanced HCC patients, although data specific to those with extrahepatic spread were limited.4 In 2020, the IMbrave150 study established the superiority of atezolizumab (a PD-L1 inhibitor) combined with bevacizumab (an anti-angiogenic agent) over sorafenib, including in patients with extrahepatic disease.5 Tislelizumab (a PD-1 inhibitor) has also demonstrated improved OS, progression-free survival (PFS), and ORR compared to sorafenib as a first-line treatment for BCLC stage B–C HCC in the RATIONALE-301 study.6 Additionally, various clinical studies have indicated that TKIs combined with PD-1 inhibitors may further enhance outcomes in advanced HCC. However, the LEAP-002 trial showed that lenvatinib plus pembrolizumab did not significantly improve OS or PFS compared with lenvatinib alone in advanced HCC patients, including those with extrahepatic metastases,7 suggesting that further optimization of combination regimens is warranted. Therefore, the latest guidelines emphasize a multidisciplinary approach for patients with advanced HCC, especially those with pulmonary metastases, where systemic therapies such as TKIs, ICIs, and combination regimens are increasingly being recommended. Specifically, as recommended in the 2025 EASL guideline, for patients with advanced HCC, including those with pulmonary metastasis, systemic combination therapy including at least one PD-1 or PD-L1 inhibitor should be offered,8 consistent with the recommendation in the 2023 ASALD guideline.9

    Although systemic therapy is the mainstay for advanced HCC with extrahepatic spread, intrahepatic tumor burden is the leading cause of death, as most patients succumb to progression of intrahepatic lesions rather than metastatic complications. Locoregional therapies such as transarterial chemoembolization (TACE) and hepatic arterial infusion chemotherapy (HAIC) are commonly employed to control intrahepatic disease. TACE is widely used and recommended as the standard treatment for intermediate-stage HCC.2 HAIC, particularly the FOLFOX regimen (oxaliplatin, fluorouracil, and leucovorin) developed in China, has shown efficacy in large, unresectable tumors.10 Compared to TACE, HAIC has demonstrated improved OS and fewer severe adverse events in patients with unresectable HCC. A study showed that combining HAIC with sorafenib prolonged median OS by approximately 11 months compared to sorafenib alone in patients with lung metastases.11 More recently, a Phase II clinical trial revealed that apatinib plus HAIC achieved a median OS of 11.3 months as a second-line treatment in advanced HCC with extrahepatic metastasis.12 Another study suggested that HAIC might potentiate the efficacy of lenvatinib combined with PD-1 inhibitor in HCC patients with extrahepatic metastases; however, the metastatic sites varied.13 Given the heterogeneity of metastatic patterns, it remains unclear whether adding HAIC to lenvatinib and PD-1 inhibitor offers survival benefits over dual therapy in patients specifically with lung metastases.

    Therefore, this study aimed to evaluate the efficacy and safety of HAIC in combination with lenvatinib and PD-1 inhibitor versus lenvatinib plus PD-1 inhibitor alone in patients with advanced HCC and lung metastasis.

    Methods

    Participants

    In this retrospective study, patients with HCC and lung metastasis who received lenvatinib and PD-1 inhibitor between January 2019 and January 2024 at three centers in China – the First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial People’s Hospital, and the Memorial Hospital of Sun Yat-sen University – were reviewed. Based on their treatment regimen, patients were divided into two groups: the HLP group (receiving a triple combination of HAIC, lenvatinib, and PD-1 inhibitor) and the LP group (receiving the dual combination of lenvatinib and PD-1 inhibitor). The number of patients enrolled at each center is presented in Table S1.

    The inclusion criteria were as follows: (1) age between 18 and 75 years; (2) diagnosis of HCC confirmed by contrast-enhanced imaging in high-risk individuals or histopathology, according to the American Association for the Study of Liver Diseases (AASLD) guidelines; (3) lung metastasis diagnosed by computed tomography (CT) or biopsy, beyond the indications for ablation; (4) Eastern Cooperative Oncology Group Performance Status score (ECOG PS) ≤ 2 and Child-Pugh class A or B; (5) no prior treatment for HCC; (6) no history of other malignancies within the past five years; (7) receipt of at least six cycles of PD-1 inhibitor and two months of lenvatinib in both groups, and at least two cycles of HAIC in the HLP group; (8) a minimum follow-up period of 12 months from enrollment to the study cut-off; and (9) complete clinical and follow-up data. Key exclusion criteria included: (1) pathological diagnosis of fibrolamellar HCC, sarcomatous HCC, or combined hepatocellular-cholangiocarcinoma (HCC-CC); (2) signs of hepatic decompensation, such as hepatic encephalopathy or gastrointestinal variceal bleeding; and (3) discontinuation or change of therapy without a valid medical justification. Laboratory tests and imaging evaluations – including contrast-enhanced CT or magnetic resonance imaging (MRI) – were performed within one week prior to the initiation of treatment.

    The study was approved by the Ethics Committee of the First Affiliated Hospital of Sun Yat-sen University.

    Treatment Procedures

    HAIC was performed by experienced interventional radiologists at each participating center. The procedure followed established protocols for administering the FOLFOX regimen, as described in previous studies.14 The catheter tip was super-selectively placed into the tumor-feeding branch of the hepatic artery, based on the size, location, and vascular supply of the intrahepatic tumor. The chemotherapy regimen included oxaliplatin (130 mg/m², administered over 2 hours on day 1), leucovorin (200 mg/m², administered from hour 2 to 4 on day 1), and fluorouracil (400 mg/m² as a bolus over 15 minutes, followed by 2400 mg/m² via continuous infusion over 46 hours on days 1 and 2). This cycle was repeated every 3 weeks for a maximum of 8 cycles, depending on the physician’s assessment.

    Both groups received oral lenvatinib at a dose of 8 mg (for body weight ≤60 kg) or 12 mg (for body weight >60 kg), along with intravenous PD-1 inhibitor (200 mg every 3 weeks). The types of PD-1 inhibitors used are listed in Table S2. In the HLP group, lenvatinib was administered on the first day of HAIC, and PD-1 inhibitor was infused on the second day immediately following completion of HAIC. In the LP group, lenvatinib and PD-1 inhibitor were administered on the same day. If patients experienced intolerable adverse events (AEs), the dose of lenvatinib or PD-1 inhibitor was either reduced or temporarily discontinued until symptoms resolved.

    Efficacy and Safety Assessment

    Chest CT and abdominal contrast-enhanced CT or MRI were performed every two treatment cycles. Imaging assessments were independently conducted by two radiologists with expertise in liver diseases. In cases of disagreement, a senior radiologist reviewed the images, and a consensus was reached.

    Treatment efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. The primary endpoint was overall survival (OS), defined as the time from initial admission to death from any cause. Secondary endpoints included progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). PFS was defined as the time from admission to either radiological disease progression or death, whichever occurred first. ORR was defined as the proportion of patients who achieved a complete response (CR) or partial response (PR), while DCR was defined as the proportion of patients who achieved CR, PR, or stable disease (SD). Adverse events (AEs) occurring during treatment were documented and graded according to the Common Terminology Criteria for Adverse Events (CTCAE), version 5.0.

    Propensity Score Matching Analysis

    Propensity score matching (PSM) was employed to minimize selection bias and balance baseline characteristics between the two treatment groups. Stepwise logistic regression was used to identify variables associated with treatment allocation, including age, sex, ECOG-PS, etiology, number of intrahepatic lesions, tumor size, number of lung metastases, presence of portal vein tumor thrombosis (PVTT), alpha-fetoprotein (AFP) level, albumin-bilirubin (ALBI) grade, and Child-Pugh class. A 1:1 nearest-neighbor matching algorithm with a caliper width of 0.2 was applied.

    Statistical Analysis

    Statistical analyses were performed using R software (version 4.0.3; R Foundation for Statistical Computing, Vienna, Austria) and SPSS version 27.0 (IBM Corp., Armonk, NY, USA). The normality of continuous variables was assessed using the Shapiro–Wilk test. Continuous variables were expressed as mean ± standard deviation or median with interquartile range (IQR), depending on their distribution, and were compared between groups using either the Student’s t-test or the Mann–Whitney U-test. Categorical variables were presented as counts and percentages, and compared using the χ²-test or Fisher’s exact test, as appropriate. The Kaplan–Meier method was used to estimate OS and PFS, and differences between groups were assessed using the Log rank test. Univariable and multivariable Cox proportional hazards regression analyses were conducted to identify factors associated with survival outcomes. Variables with a P-value < 0.1 in univariate analysis were included in the multivariate model. A two-sided P-value < 0.05 was considered statistically significant.

    Results

    Participants

    The patient enrollment flowchart is presented in Figure 1. A total of 422 patients with HCC and lung metastases were included in the study. Among them, 169 patients received the triple combination therapy of HAIC, lenvatinib, and PD-1 inhibitor (HLP group), while the remaining 253 patients were treated with lenvatinib and PD-1 inhibitor without HAIC (LP group). The follow-up period concluded on April 30, 2025, with median follow-up durations of 30.8 months (95% confidence interval [CI]: 16.8–51.9) in the HLP group and 32.6 months (95% CI: 17.4–50.8) in the LP group, respectively. To minimize selection bias, 1:1 PSM was performed, yielding 151 patients in each group. After PSM, baseline characteristics were well balanced between the two groups (Table 1).

    Table 1 Baseline Characteristics of the Study Patients Before and After PSM

    Figure 1 Patient selection flowchart. A patient might meet several exclusion criteria, but they were excluded only once from the uppermost criteria.

    Abbreviations: PSM, propensity score matching; HLP, HAIC combined with lenvatinib and PD-1 inhibitor; LP, lenvatinib combined with PD-1 inhibitor; HAIC, hepatic arterial infusion chemotherapy; BCLC, Barcelona Clinic Liver Cancer; ECOG, Eastern Cooperative Oncology Group; PS, performance score.

    Before PSM, patients in the HLP group received a median of 4 cycles of HAIC (range: 2–8), 6.8 months of lenvatinib (range: 2.5–12.2) and 12 cycles of PD-1 inhibitor (range: 6–20). In comparison, patients in the LP group received a median of 5.0 months of lenvatinib (range: 2.0–11.7) and 10 cycles of PD-1 inhibitor (range: 6–17).

    Tumor Response

    Treatment responses were assessed according to RECIST 1.1 criteria before and after PSM (Table 2). Prior to PSM, the HLP group demonstrated significantly higher ORR (46.7% versus 22.9%, P < 0.001) and DCR (82.8% versus 69.1%, P = 0.002) compared to LP group. After PSM, the superiority of the HLP group remained evident, with significantly higher ORR (47.7% versus 20.5%, P < 0.001) and DCR (86.1% versus 72.2%, P = 0.003).

    Table 2 Treatment Efficacy Evaluated by RECIST 1.1 Criteria Before and After PSM

    Survival Outcomes

    Before PSM, 194 patients (76.7%) in the LP group and 68 (40.2%) patients in the HLP group had died by the end of follow-up. The median OS was significant longer in the HLP group (26.0 months, 95% CI: 18.4–NA) compared to the LP group (8.6 months, 95% CI: 7.9–10.0; HR: 0.36, 95% CI: 0.28–0.46, P < 0.001). Similarly, the HLP group exhibited a significantly longer median PFS than the LP group (7.7 months, 95% CI: 6.7–10.8 versus 5.4 months, 95% CI: 4.5–6.1; HR: 0.76, 95% CI: 0.61–0.95, P = 0.017). Among the 151 matched pairs after PSM, the HLP group continued to show a significantly longer median OS than the LP group (26.0 months, 95% CI: 18.6–NA versus 8.4 months, 95% CI: 6.7–11.8; HR: 0.36, 95% CI: 0.27–0.49, P < 0.001). Median PFS was also favored the HLP group (7.6 months, 95% CI: 6.3–9.0 versus 5.5 months, 95% CI: 3.9–6.3; HR: 0.77, 95% CI: 0.59–1.00, P = 0.048) (Figure 2).

    Figure 2 Kaplan-Meier curves comparing OS and PFS among patients who underwent HAIC plus lenvatinib and PD-1 inhibitor (HLP) or lenvatinib plus PD-1 inhibitor (LP) before (ab) and after (cd) PSM. P values were calculated using Log rank test.

    Abbreviations: PSM, propensity score matching; HLP, HAIC combined with lenvatinib and PD-1 inhibitor; LP, lenvatinib combined with PD-1 inhibitor; HAIC, hepatic arterial infusion chemotherapy; OS, overall survival; PFS, progression-free survival; HR, hazard ratio; CI, confidence interval.

    Univariate and Multivariate Analysis

    Univariate and multivariate analyses were conducted to identify risk factors associated with OS and PFS (Table 3). Multivariate Cox regression analysis revealed that treatment option and PVTT were independent risk factors for both OS and PFS. Additionally, the presence of multiple lung metastases was an independent risk factor for OS, but not for PFS.

    Table 3 Univariate and Multivariate Analyses of Predictors of Survival After Treatment

    Subgroup Analysis

    Forest plots were generated to compare outcomes between subgroups after PSM (Figure 3). For both OS and PFS, the HLP group showed greater benefit across nearly all subgroups compared to the LP group, except in cases with small sample sizes or impaired liver function. These findings suggest that HAIC combined with lenvatinib and PD-1 inhibitor may be effective across various subgroups of HCC patients with lung metastases. However, for patients with compromised liver function – such as those classified as ALBI grade 3 or Child-Pugh class B – treatment with lenvatinib and PD-1 inhibitor may be more appropriate.

    Figure 3 Forest plots based on OS (a) and PFS (b) of each subgroup. P values were calculated using Log rank test.

    Abbreviations: PSM, propensity score matching; HLP, HAIC combined with lenvatinib and PD-1 inhibitor; LP, lenvatinib combined with PD-1 inhibitor; HAIC, hepatic arterial infusion chemotherapy; OS, overall survival; PFS, progression-free survival; HR, hazard ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; PS, performance score; ALBI, albumin-bilirubin; AFP, alpha-fetoprotein; PVTT, portal vein tumor thrombus.

    Progression Reason Analysis

    Regarding the analysis of progression patterns, five modes of tumor progression were identified: intrahepatic lesion progression, development of new intrahepatic lesion(s), extrahepatic lesion progression, development of new extrahepatic lesion(s), and death. At the data cutoff, 118 patients in the HLP group and 238 in the LP group had experienced disease progression. Notably, individual patients could exhibit more than one mode of progression simultaneously. The distribution of progression modes in the HLP and LP groups was as follows: intrahepatic lesion progression (12.0% versus 34.1%), new intrahepatic lesion(s) (9.7% versus 24.7%), extrahepatic lesion progression (33.1% versus 17.1%), new extrahepatic lesion(s) (39.4% versus 16.4%), and death (5.7% versus 7.7%). Clearly, the proportions of intrahepatic lesion progression and new intrahepatic lesions were significantly lower in the HLP group compared to the LP group. (Figure S1).

    Safety

    As shown in Table 4, the overall incidence of adverse events (AEs) was 75.1% in the HLP group and 57.7% in the LP group. In the HLP group, the most common AEs were abdominal pain (52.7%), nausea (48.5%), decreased appetite (43.2%), and fatigue (34.9%). The most frequent grade 3–4 AEs included abdominal pain (14.2%), nausea (10.1%), and diarrhea (9.5%), most of which were associated with HAIC. In the LP group, decreased appetite (36.0%), fatigue (34.0%), hypoproteinemia (21.7%), and elevated AST (20.9%) were the most common AEs, while the most frequent grade 3–4 AEs were fatigue (6.3%), immune-related AEs (4.3%), and proteinuria (3.6%). Although the incidence of both any-grade and grade 3–4 AEs was higher in the HLP group, these events were generally manageable, and no treatment-related deaths occurred during the study period.

    Table 4 Treatment-Related Adverse Events

    Discussion

    This study is the first multicenter clinical trial to compare the efficacy of triple combination therapy—HAIC plus lenvatinib and PD-1 inhibitor—with that of the dual regimen of lenvatinib and PD-1 inhibitor in patients with advanced HCC and lung metastases. To minimize confounding variables, we applied propensity score matching (PSM), enrolled a relatively large cohort from multiple centers, and conducted long-term follow-up. In both the full and PSM-adjusted cohorts, the triple therapy significantly improved overall survival (OS), progression-free survival (PFS), and objective response rate (ORR). Notably, although the triple combination therapy was associated with a higher incidence of adverse events (AEs), all AEs were effectively managed with appropriate interventions, indicating that the regimen is both safe and tolerable.

    Systemic therapy is recommended as the first-line treatment for advanced HCC, including cases with extrahepatic metastasis; however, control of intrahepatic lesions remains the most critical factor influencing patient survival.15 This highlights the importance of combining systemic and locoregional therapies. Transarterial chemoembolization (TACE), the most commonly used locoregional approach, involves intra-arterial delivery of cytotoxic agents emulsified with lipiodol into the lesions, followed by embolization to induce both cytotoxic and ischemic effects. TACE can effectively control intrahepatic tumors, achieving an objective response rate (ORR) of approximately 24% in advanced HCC.16 Nevertheless, its use is limited in cases with extensive intrahepatic tumor burden or severely compromised portal vein flow.17 Furthermore, the acute hypoxia induced by embolization may stimulate vascular endothelial growth factor (VEGF) expression, potentially promoting angiogenesis, local recurrence, and distant metastasis, including to the lungs.18 Compared with TACE, hepatic arterial infusion chemotherapy (HAIC) using the FOLFOX regimen has shown superior outcomes, with reported ORR of 46% versus 18% and median overall survival of 23.1 versus 16.2 months in patients with unresectable HCC.10 The high-dose, continuous infusion of chemotherapeutic agents in HAIC maximizes cytotoxic effects on intrahepatic tumors. In addition, HAIC preserves hepatic arterial flow, thereby mitigating tumor hypoxia and avoiding the pro-metastatic effects associated with embolization. The gradual systemic release of chemotherapeutic agents from the liver also contributes to systemic anti-tumor effect. Notably, chemotherapy has been associated with survival benefits in HCC patients with lung metastases.19 Moreover, the combination of FOLFOX-based HAIC with lenvatinib and toripalimab (a PD-1 inhibitor) has demonstrated promising anti-tumor efficacy in patients with HCC and extrahepatic spread.20

    In our study, the triple therapy combining HAIC-FOLFOX with lenvatinib and PD-1 inhibitor significantly improved median OS (26.0 versus 8.4 months) and ORR (46.7% versus 22.9%) compared to dual systemic therapy in patients with advanced HCC and lung metastases. A prior study reported that patients with lung metastases receiving sorafenib monotherapy had a median OS of only 7.37 months, whereas those treated with sorafenib plus locoregional therapies (primarily TACE) achieved a median OS of 18.37 months.11 Compared with this combination, our triple combination regimen demonstrated superior survival outcomes in this high-risk subgroup. In a phase II trial, patients with extrahepatic metastases received apatinib (a TKI) plus HAIC as second-line therapy, with tumor shrinkage observed in 87.2% of intrahepatic and 74.4% of extrahepatic lesions,12 suggesting the potential of HAIC to exert systemic anti-tumor effects beyond the liver. Locoregional therapies, when combined with targeted and immunotherapeutic agents, may modulate the tumor microenvironment and inhibit the invasion and migration of cancer cells, thereby potentially limiting extrahepatic metastasis.18

    We selected the combination of lenvatinib and PD-1 inhibitor as the control group, given the promising synergistic antitumor effects observed in unresectable or advanced HCC. However, limited studies have specifically examined its efficacy in the subset of patients with lung metastases. Lenvatinib is a multitargeted tyrosine kinase inhibitor (TKI) that suppresses VEGFR 1–3, which play key roles in pathological angiogenesis. PD-1 inhibitor is a monoclonal antibody that binds to and inhibits the PD-1 receptor expressed on activated immune cells, thereby enhancing anticancer immune responses. Lenvatinib has been shown to augment the efficacy of anti-PD-1 antibodies by normalizing tumor vasculature and promoting immune cell infiltration in HCC.21 The combination of TKI with PD-1 inhibitor has been demonstrated to improve conversion rates in unresectable HCC.22 In prior studies, lenvatinib plus PD-1 inhibitor therapy yielded superior outcomes compared to PD-1 inhibitor monotherapy, with higher ORR (32.7% versus 10.3%), longer median PFS (10.6 versus 4.4 months), and OS (18.4 versus 8.5 months).23 Similar findings have been reported in other dual-regimen studies compared to systemic monotherapy in advanced HCC.24 However, in our study, the results for the dual-agent control group were less favorable, with an ORR of 18% and a median OS of 8.4 months.

    Compared to the dual-agent control group, the triple combination therapy demonstrated encouraging outcomes in terms of long-term survival and tumor regression in patients with lung metastases. Similarly, a triple regimen combining TACE, lenvatinib, and camrelizumab (a PD-1 inhibitor) showed promising ORR and conversion rates in patients with unresectable HCC.25 Another study reported that the combination of TACE, lenvatinib, and PD-1 inhibitor provided superior OS compared to TACE plus lenvatinib in patients with extrahepatic metastases, although the sample size was small.26 A recent meta-analysis also supported the enhanced efficacy of this triple combination approach, showing that TACE combined with lenvatinib and PD-1 inhibitor significantly improved OS, PFS, and ORR compared to monotherapy, dual-agent regimens, and even the triple combination of TACE, sorafenib, and PD-1 inhibitors.27 In a single-arm trial involving 36 patients with advanced HCC (27.8% with extrahepatic spread), treated with HAIC plus lenvatinib and toripalimab yielded a median OS of 17.9 months and an ORR of 63.9%. Moreover, increased levels of peripheral CD8+ and CD4+ T cells were observed following the combination therapy, indicating an enhanced systemic immune response.28 Preclinical studies have also shown that lenvatinib combined with HAIC-FOLFOX exerts a synergistic inhibitory effect on HCC proliferation and angiogenesis by suppressing phosphorylation of multiple targets.29

    According to clinical guidelines, for advanced HCC with lung metastases, local ablation therapy is generally recommended when the lung tumor burden is relatively low. Typically, this includes patients with no more than three metastatic lesions, each with a maximum diameter of 3 cm, and well-controlled intrahepatic disease. Studies have shown that ablation of lung metastatic lesions, especially in cases of oligometastasis, can significantly improve patient survival and may even lead to long-term outcomes comparable to those of patients without lung metastases.30 In our study, the enrolled patients with lung metastases were initially ineligible for ablation therapy. However, following treatment, 17 (10.1%) and 9 (3.6%) patients in the HLP and LP group met the criteria for pulmonary ablation and subsequently underwent the procedure. Furthermore, both groups of patients who received pulmonary ablation showed significantly better survival outcomes compared to those who did not receive ablation. Notably, the proportion of patients who were successfully converted to ablation candidates was significantly higher in the HLP group (P = 0.012), indicating superior clinical efficacy. These findings further support the synergistic antitumor effect of HAIC combined with systemic therapy. This combination not only effectively controls intrahepatic disease but also contributes to the suppression of lung metastases. The possible underlying mechanisms include: (1) systemic circulation of chemotherapeutic agents used in HAIC, which exert antitumor effects on lung lesions; (2) immunomodulatory effects of chemotherapy, which may enhance both hepatic and pulmonary immune microenvironments, thereby synergizing with targeted and immunotherapeutic agents; and (3) effective intrahepatic disease control by HAIC may improve the overall immunosuppressive state, thus potentiating the efficacy of systemic treatments. Further investigations are warranted in future clinical and preclinical studies.

    We also conducted subgroup analyses to evaluate factors influencing OS and PFS. The results showed that triple therapy demonstrated superior survival outcomes across the majority of subgroups. However, in subgroups with impaired liver function, including patients classified as Child-Pugh class B or ALBI grade 3, dual therapy showed a trend toward better prognosis. This suggests that patients with compromised liver function may benefit more from systemic therapy alone, and the addition of HAIC may not be appropriate. The primary reason is that HAIC, as a form of locoregional therapy, may inevitably impose additional stress on liver function. For patients with already impaired hepatic reserve, preserving liver function is often a higher priority than aggressive tumor control.31 Therefore, in such cases, adopting a milder treatment strategy may yield greater overall benefit.

    In addition to its favorable clinical outcomes, the combination of HAIC with lenvatinib and PD-1 inhibitor was associated with an increased incidence of adverse events (AEs) to some extent. A higher frequency of HAIC-related AEs was observed, which is consistent with findings from previous HAIC clinical trials. However, these AEs were generally manageable with appropriate supportive medications and did not lead to disease progression or treatment discontinuation. The incidence of AEs in the HLP group was higher compared to patients treated with either locoregional or systemic therapy in earlier studies.4,6 This may be attributed to the poorer baseline conditions of the enrolled patients, as well as the potential additive toxicity from systemic therapy. A common HAIC-specific AE was abdominal pain caused by arterial vasospasm during oxaliplatin infusion. Currently, there is no effective method to completely prevent this particular type of pain, other than administering analgesics and antispasmodics or reducing the infusion rate of oxaliplatin.32 Overall, the combination of HAIC, lenvatinib, and PD-1 inhibitor was found to be safe and tolerable.

    There are several potential limitations to our study. First, as a retrospective analysis, the possibility of selection bias cannot be entirely excluded. Although propensity score matching (PSM) was employed to minimize baseline differences between the two groups, residual confounding may still exist. Therefore, prospective randomized controlled trials are necessary to further validate our findings. Second, the majority of patients in our cohort had hepatitis B virus (HBV)-related HCC, which may limit the generalizability of our results to patients with other etiologies. Third, this study exclusively included patients treated with lenvatinib and PD-1 inhibitor; thus, additional research is warranted to assess whether similar outcomes can be achieved using alternative systemic agents.

    In conclusion, compared to lenvatinib plus PD-1 inhibitor, the addition of HAIC to lenvatinib and PD-1 inhibitor significantly improves OS, PFS, and ORR in patients with HCC and lung metastases, while maintaining an acceptable safety profile.

    Ethic Approval

    This study was conducted in accordance with the principles of the Declaration of Helsinki. Ethical approval was obtained from the Ethics Committee of the First Affiliated Hospital of Sun Yat-sen University. Written informed consent for the treatment was obtained from all patients.

    Funding

    This work was supported by grants from the National Natural Science Foundation of China (82202271), Guangzhou Basic and Applied Basic Research Foundation [no. 202201011304].

    Disclosure

    The authors report no relevant financial or non-financial interests in this work.

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    15. Lee JI, Kim JK, Kim DY, et al. Prognosis of hepatocellular carcinoma patients with extrahepatic metastasis and the controllability of intrahepatic lesions. Clin Exp Metastasis. 2014;31:475–482. doi:10.1007/s10585-014-9641-x

    16. Pinter M, Hucke F, Graziadei I, et al. Advanced-stage hepatocellular carcinoma: transarterial chemoembolization versus sorafenib. Radiology. 2012;263:590–599. doi:10.1148/radiol.12111550

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    19. Wang H, Huang J, Zhang W, et al. Prognostic factors in patients with first diagnosis of hepatocellular carcinoma presenting with pulmonary metastasis and construction of a clinical prediction model. Updates Surg. 2024;76:71–85. doi:10.1007/s13304-023-01603-7

    20. He M, Huang Y, Du Z, et al. Lenvatinib, Toripalimab plus folfox chemotherapy in hepatocellular carcinoma patients with extrahepatic metastasis: a biomolecular exploratory, phase II Trial (LTSC). Clin Cancer Res. 2023;29:5104–5115. doi:10.1158/1078-0432.CCR-23-0060

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    23. Liu Q, Li R, Li L, et al. Efficacy and safety of anti-PD-1 monotherapy versus anti-PD-1 antibodies plus lenvatinib in patients with advanced hepatocellular carcinoma: a real-world experience. Ther Adv Med Oncol. 2023;15:17588359231206274. doi:10.1177/17588359231206274

    24. Qin S, Chan SL, Gu S, et al. Camrelizumab plus rivoceranib versus sorafenib as first-line therapy for unresectable hepatocellular carcinoma (CARES-310): a randomised, open-label, international phase 3 study. Lancet. 2023;402:1133–1146. doi:10.1016/S0140-6736(23)00961-3

    25. Wu X-K, Yang L-F, Chen Y-F, et al. Transcatheter arterial chemoembolisation combined with lenvatinib plus camrelizumab as conversion therapy for unresectable hepatocellular carcinoma: a single-arm, multicentre, prospective study. EClinicalMedicine. 2024;67:102367. doi:10.1016/j.eclinm.2023.102367

    26. Cai M, Huang W, Huang J, et al. Transarterial chemoembolization combined with lenvatinib plus PD-1 inhibitor for advanced hepatocellular carcinoma: a retrospective cohort study. Front Immunol. 2022;13:848387. doi:10.3389/fimmu.2022.848387

    27. Wang L, Lin L, Zhou W. Efficacy and safety of transarterial chemoembolization combined with lenvatinib and PD-1 inhibitor in the treatment of advanced hepatocellular carcinoma: a meta-analysis. Pharmacol Ther. 2024;257:108634. doi:10.1016/j.pharmthera.2024.108634

    28. Lai Z, He M, Bu X, et al. Lenvatinib, toripalimab plus hepatic arterial infusion chemotherapy in patients with high-risk advanced hepatocellular carcinoma: a biomolecular exploratory, phase II trial. Eur J Cancer. 2022;174:68–77. doi:10.1016/j.ejca.2022.07.005

    29. Wang M, Yao X, Bo Z, et al. Synergistic effect of lenvatinib and chemotherapy in hepatocellular carcinoma using preclinical models. J Hepatocell Carcinoma. 2023;10:483–495. doi:10.2147/JHC.S395474

    30. Zhou Q, Li R, Wu S, et al. Metastasis-directed ablation of hepatocellular carcinoma with pulmonary oligometastases: a long-term multicenter study. Radiol Med. 2025;130:25–36. doi:10.1007/s11547-024-01907-7

    31. Chen S, Shuangyan T, Shi F, et al. TACE plus lenvatinib and tislelizumab for intermediate-stage hepatocellular carcinoma beyond up-to-11 criteria: a multicenter cohort study. Front Immunol. 2024;15:1430571. doi:10.3389/fimmu.2024.1430571

    32. Wu Z, Guo W, Chen S, Zhuang W. Determinants of pain in advanced HCC patients recieving hepatic artery infusion chemotherapy. Invest New Drugs. 2021;39:394–399. doi:10.1007/s10637-020-01009-x

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  • Effects of physical activity interventions on physical fitness in preschool children: a meta-analysis of randomized controlled trials and dose–response study | BMC Public Health

    Effects of physical activity interventions on physical fitness in preschool children: a meta-analysis of randomized controlled trials and dose–response study | BMC Public Health

    Characteristics of included studies

    Figure 1 presents the PRISMA flow diagram outlining the systematic search and selection process. The initial electronic screening identified 5030 potentially relevant articles. After title and abstract screening, 103 studies were deemed eligible and underwent full-text review. Subsequently, 14 RCTs met the inclusion criteria and were retained for meta-analysis.

    Fig. 1

    Flow chart of the study selection procedure

    The included RCTs were published between 2005 and 2023 (median year, 2014), comprising a total of 3376 participants (1683 boys), aged 3–7 years. Sample sizes ranged from 30 to 1434, with a mean participant age of 4.98 years (SD = 0.51). Intervention durations spanned 8–48 weeks (mean 20.62 weeks, SD 13.50), frequencies ranged from 1 to 5 sessions per week (mean 3.28, SD 1.17), and session lengths varied from 15 to 90 min (mean 36.40 min, SD 17.12).

    The number of independent data points differed by physical fitness outcome: upper muscle strength (10 studies) [26,27,28,29,30,31], lower muscle strength (14 studies) [6, 26,27,28,29,30,31,32,33,34], flexibility quality (10 studies) [26, 28,29,30,31, 34, 35], coordination (6 studies) [26,27,28,29,30, 33, 36][, cardiorespiratory fitness (CRF; 11 studies) [6, 26, 28,29,30,31,32], dynamic balance (11 studies) [26, 28, 29, 31, 36,37,38], and static balance (10 studies) [6, 27, 28, 30, 33, 37, 38]. Detailed study characteristics are presented in Supplementary 3.

    The results of pairwise meta-analysis

    Summary of overall physical fitness outcomes

    Seventy-three independent data points from 14 studies contributed to the analysis of overall physical fitness, which encompassed all measured sub-components. As depicted in Fig. 2, chronic PA interventions exerted a small but significant positive effect on overall physical fitness in preschool children (SMD = 0.30, 95% CI: 0.22 to 0.38, I2 = 72.8%, p < 0.001). Subgroup analyses demonstrated that intervention duration (≥ 16 weeks vs. < 16 weeks), session duration (≥ 40 min vs. < 40 min), and frequency (> 3 times/week vs. ≤ 3 times/week) each influenced the pooled effect size.

    Fig. 2
    figure 2

    Effects of physical activity on preschool children’s physical fitness with different moderators

    Muscle strength

    PA interventions significantly improved upper muscle strength (SMD = 0.30, 95% CI: 0.14 to 0.46, I2 = 33.2%, p < 0.001). In subgroup analyses, interventions ≥ 16 weeks in duration (SMD = 0.35, 95% CI: 0.15 to 0.54, I2 = 41.0%, p = 0.001), session lengths < 40 min (SMD = 0.41, 95% CI: 0.19 to 0.62, I2 = 35.1%, p < 0.001), and frequencies ≤ 3 times/week (SMD = 0.35, 95% CI: 0.16 to 0.53, I2 = 20.0%, p < 0.001) all yielded significant gains in upper muscle strength.

    PA interventions produced a significant improvement in lower muscle strength (SMD = 0.29, 95% CI: 0.12 to 0.46, I2 = 75.5%, p = 0.001). Subgroup analyses indicated meaningful effects in both < 16 weeks (SMD = 0.51, 95% CI: 0.23 to 0.80, I2 = 44%, p < 0.001) and ≥ 16 weeks of intervention (SMD = 0.20, 95% CI: 0.02 to 0.38, I2 = 74.4%, p = 0.031). Session length (≥ 40 min: SMD = 0.22, 95% CI: 0.01 to 0.43, I2 = 61.9%, p = 0.045; < 40 min: SMD = 0.36, 95% CI: 0.07 to 0.65, I2 = 80.8%, p = 0.014) also influenced lower muscle strength. Of note, only the > 3 times/week subgroup displayed significant improvement (SMD = 0.36, 95% CI: 0.11 to 0.61, I2 = 83.3%, p = 0.005).

    Flexibility quality

    PA interventions significantly enhanced flexibility (SMD = 0.27, 95% CI: 0.03 to 0.52, I2 = 72.4%, p = 0.028). Subgroup analyses revealed that session lengths ≥ 40 min (SMD = 0.33, 95% CI: 0.06 to 0.59, I2 = 54.9%, p = 0.016) and frequencies > 3 times/week (SMD = 0.65, 95% CI: 0.18 to 1.13, I2 = 79.6%, p = 0.007) contributed substantially to the observed improvement.

    CRF

    PA interventions led to a significant increase in CRF (SMD = 0.29, 95% CI: 0.10 to 0.48, I2 = 72.4%, p = 0.003). Subgroup analyses indicated significant improvements with both < 16 weeks (SMD = 0.32, 95% CI: 0.10 to 0.54, I2 = 0%, p = 0.005) and ≥ 16 weeks of intervention (SMD = 0.28, 95% CI: 0.04 to 0.52, I2 = 77.0%, p = 0.022), as well as with PA frequencies of > 3 times/week (SMD = 0.42, 95% CI: 0.04 to 0.80, I2 = 85.5%, p = 0.031) and ≤ 3 times/week (SMD = 0.20, 95% CI: 0.02 to 0.39, I2 = 27.0%, p = 0.031). Interestingly, the < 40-min session subgroup (SMD = 0.27, 95% CI: 0.05 to 0.49, I2 = 43.2%, p = 0.015) also showed notable CRF improvements.

    Coordination

    PA interventions significantly enhanced coordination (SMD = 0.54, 95% CI: 0.31 to 0.76, I2 = 57.5%, p < 0.001). All examined subgroups—longer (≥ 16 weeks: SMD = 0.49, 95% CI: 0.20 to 0.78, I2 = 65.7%, p = 0.001) versus shorter (< 16 weeks: SMD = 0.63, 95% CI: 0.34 to 0.91, I2 = 0.0%, p < 0.001) durations, longer (≥ 40 min: SMD = 0.50, 95% CI: 0.21 to 0.78, I2 = 68.4%, p = 0.001) versus shorter (< 40 min: SMD = 0.63, 95% CI: 0.31 to 0.96, I2 = 0.2%, p < 0.001) session lengths, and higher (> 3 times/week: SMD = 0.50, 95% CI: 0.26 to 0.75, I2 = 60.4%, p < 0.001) versus lower (≤ 3 times/week: SMD = 0.70, 95% CI: 0.13 to 1.26, I2 = 46.7%, p = 0.016) frequencies—exhibited statistically significant effects.

    Balance

    PA interventions significantly improved static balance (SMD = 0.38, 95% CI: 0.10 to 0.65, I2 = 80.7%, p = 0.007). Within subgroup analyses, frequencies of ≤ 3 times/week yielded a significant benefit (SMD = 0.33, 95% CI: 0.11 to 0.55, I2 = 43.8%, p = 0.003). All studies included in this analysis of static balance used ≥ 40-min PA sessions. No significant improvement was noted in dynamic balance, and subgroup analyses did not alter the null findings.

    The results of dose–response relationship

    Overall physical fitness

    A non-linear dose–response curve was identified between weekly PA dose (0–380 min/week) and overall physical fitness (Fig. 3). The optimal dose was approximately 270 min/week (SMD = 0.557, 95% CrI: 0.347 to 0.825), indicating that moderate-to-high volumes of structured PA may maximize improvements in preschool children’s global fitness levels.

    Fig. 3
    figure 3

    Dose–response relationship between overall exercise dose and change in the physical fitness

    Muscle strength

    An inverted U-shaped association emerged between weekly PA dose (0–350 min/week) and upper muscle strength (Fig. 4a). The optimal dose converged at approximately 260 min/week (SMD = 0.337, 95% CrI: 0.068 to 0.735), suggesting that interventions beyond this range may yield diminishing returns.

    Fig. 4
    figure 4

    Dose–response relationship between different exercise doses and change in the different specific fitness components

    Lower muscle strength displayed a similarly inverted U-shaped pattern (Fig. 4b), with effective doses spanning 0–350 min/week and an estimated optimum of around 260 min/week (SMD = 0.424, 95% CrI: 0.235 to 0.746). This finding aligns closely with that of upper muscle strength, emphasizing the importance of balancing intensity and volume.

    Flexibility quality

    Flexibility quality improved with PA volumes up to 340 min/week (Fig. 4c). The peak effect occurred at roughly 190 min/week (SMD = 0.345, 95% CrI: 0.078 to 0.739), suggesting that, compared with muscle strength outcomes, lower cumulative exercise doses may suffice to enhance flexibility quality in preschool populations.

    CRF

    Dose–response modeling for CRF (Figure 4d) demonstrated continued gains up to 380 min/week, with the maximum benefit at the highest dose examined (SMD = 0.255, 95% CrI: 0.106 to 0.496). This suggests that higher weekly PA volumes may be particularly advantageous for improving aerobic capacity in young children.

    Coordination

    Coordination displayed a wide range of effective doses, from 0 to 380 min/week (Fig. 4e). The apparent optimal volume reached approximately 300 min/week (SMD = 0.419, 95% CrI: 0.075 to 1.082). This finding highlights that motor skill development—particularly coordination—benefits from relatively high PA volumes.

    Static balance

    Improvements in static balance were most pronounced at doses up to 180 min/week (Fig. 4f), peaking around that threshold (SMD = 0.431, 95% CrI: 0.224 to 0.821). Compared with other outcomes (e.g., CRF and coordination), static balance may not require as high a weekly PA volume to achieve meaningful gains.

    Connectivity assessment

    A connectivity assessment was undertaken to verify adequate linkages among all dose levels. Insufficient connectivity may compromise statistical power and yield biased findings when direct comparisons are infeasible. The assessment confirmed no connectivity deficits among the examined PA doses, thereby supporting the robustness of the subsequent dose–response modeling (Supplementary 11).

    Quality assessment of evidence and risk of bias

    Overall, 10 studies (40%) exhibited a low risk of bias, 10 (40%) had an unclear risk, and 5 (20%) demonstrated a high risk of bias. Study-level details of risk of bias are provided in Supplementary 8. Except for upper muscle strength, several outcomes displayed relatively high heterogeneity (Supplementary 9). Publication bias was assessed via funnel plots and Egger’s tests. Potential publication bias was noted for flexibility, lower muscle strength, coordination, CRF, and static balance (p < 0.05), warranting cautious interpretation. The p-values for all remaining outcomes exceeded 0.05, indicating no significant publication bias in those measures (Supplementary 10).

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  • Research Progress of Mitochondrial Dynamics and Autophagy in Diabetic

    Research Progress of Mitochondrial Dynamics and Autophagy in Diabetic

    Introduction

    Diabetes is a metabolic disorder, and epidemiological studies indicate that the prevalence of diabetes is increasing annually. By 2045, global projections estimate 783.2 million individuals will live with diabetes.1 Individuals with diabetes frequently develop macrovascular and microvascular pathologies, which give rise to complications that compromise quality of life and elevate mortality risk. These complications encompass cardiovascular disease, diabetic nephropathy, diabetic retinopathy, and diabetic neuropathy. The core pathological pathway of diabetes mellitus involves absolute insulin deficiency (secondary to autoimmune destruction of pancreatic β-cells) or relative insulin insufficiency (attributed to insulin resistance), which induces impaired glucose uptake, utilization, and storage, thereby leading to chronic hyperglycemia and metabolic disturbances. As the central hub of cellular energy metabolism, mitochondrial dysfunction is closely linked to metabolic diseases. By regulating key processes including glucose oxidation, energy production, and insulin sensitivity, mitochondria are deeply involved in the pathological progression of diabetes, serving as a critical target for elucidating the mechanisms underlying its metabolic derangements. Emerging evidence highlights the critical role of mitochondrial function in the pathogenesis and progression of diabetic complications. Specifically, mitochondrial dynamics and autophagy have become central research focuses in elucidating the mechanisms underlying diabetes-associated tissue injury. Currently, there are drug studies targeting mitochondrial dynamics and autophagy, such as mitochondrial fission inhibitors and autophagy inducers.

    Mitochondria are dynamic organelles that continuously undergo fusion and fission to adapt to cellular metabolic demands and environmental changes.2 Mitochondrial fusion is mediated by key regulatory proteins, such as mitofusin 1 (MFN1), mitofusin 2 (MFN2), and optic atrophy 1 (OPA1).3,4 During fusion, mitochondria exchange mitochondrial genomic material, proteins, and metabolites, facilitating cellular adaptive responses under stress and optimizing mitochondrial function. In contrast, mitochondrial fission is regulated by dynamin-related protein 1 (DRP1), fission protein 1 (FIS1), and mitochondrial fission factor (MFF).5 Fission promotes the biogenesis of new mitochondria and the elimination of damaged organelles, thereby safeguarding cellular homeostasis. The equilibrium between mitochondrial fusion and fission is essential for cellular survival and function, whereas disruptions in this balance can induce cell death and pathological conditions.6

    Mitophagy is a selective form of autophagy responsible for the removal of damaged or redundant mitochondria, thereby maintaining mitochondrial quality and quantity homeostasis within the cell.7 The molecular mechanisms of mitophagy are broadly categorized into two primary pathways: ubiquitin-dependent and ubiquitin-independent pathways. Among these, the PTEN-induced kinase 1 (PINK1)-Parkin (E3 ubiquitin ligase) pathway represents the best-characterized ubiquitin-dependent signaling cascade in mitophagy.8 Mitophagy is a highly intricate and finely regulated biological process, and in-depth investigation of its mechanisms may provide new avenues for disease diagnosis and therapeutic interventions.9

    Accumulating evidence indicates that MFN1, MFN2, and Parkin play key roles in both mitochondrial dynamics and mitophagy, establishing a functional link between these two processes.10–12 This review focuses on summarizing the roles of mitochondrial dynamics and mitophagy in diabetic complications, elucidating their specific mechanisms, and discussing potential strategies for restoring mitochondrial function to mitigate the impact of diabetic complications. These insights may provide valuable references for further understanding the pathogenesis of diabetic complications and identifying novel therapeutic targets.

    Mitochondrial Dynamics, Mitophagy and Diabetic Cardiomyopathy

    Diabetic cardiomyopathy (DCM) is a diabetes-related myocardial disorder characterized by cardiac structural and functional alterations independent of other established cardiovascular risk factors. Without intervention, DCM can progress to heart failure, arrhythmias, cardiogenic shock, and sudden cardiac death.13 In acute heart failure populations, the estimated prevalence of DCM is 1.6%.14 The pathogenesis of DCM is multifactorial, encompassing hyperglycemia, mitochondrial dysfunction, apoptosis, fibrosis, metabolic disorders, inflammatory responses, and the accumulation of advanced glycation end products (AGEs).15,16 Hyperglycemia induces oxidative stress, resulting in excessive reactive oxygen species (ROS) production, which impairs mitochondrial function in cardiomyocytes and exacerbates metabolic dysregulation. Elevated oxidative stress directly disrupts mitochondrial dynamics, altering the balance between fusion and fission, which impairs myocardial energy supply and contributes to cardiac dysfunction.17,18 Mitochondrial dynamics and autophagy constitute the core components of the mitochondrial quality control system, tasked with eliminating damaged mitochondria, regulating mitochondrial morphology, and maintaining cardiac energy homeostasis.19 Thus, maintaining mitochondrial homeostasis is essential for preserving cardiac metabolic integrity and halting the progression of DCM.

    Excessive nutrient consumption disrupts mitochondrial fusion, fission, and autophagy processes in cardiomyocytes, thereby compromising mitochondrial homeostasis and cardiac function.20 In DCM, diminished mitochondrial fusion capacity, coupled with either excessive or inadequate mitochondrial fission, leads to a deterioration of mitochondrial quality, causing an imbalance in the number and function of mitochondria within cardiomyocytes. Under hyperglycemic conditions, DRP1 orchestrates mitochondrial fission in rat cardiomyocytes, which promotes the overproduction of ROS. Tetracycline has been demonstrated to induce the upregulation of MFN2, thus maintaining mitochondrial function.21 Similarly, in obese mice with DCM, DRP1 expression is significantly increased, while the levels of MFN1 and MFN2 are substantially decreased.22 Studies have also demonstrated that prenatal exposure to a high-glucose and high-fat diet results in shorter and wider mitochondria in neonatal rat cardiomyocytes, which subsequently impairs mitochondrial function.23 Additionally, post-translational modifications are pivotal in regulating proteins associated with mitochondrial dynamics. Hyperglycemia enhances O-linked N-acetylglucosamine (O-GlcNAc) glycosylation of OPA1, exacerbating mitochondrial dysfunction.24 DRP1 undergoes O-GlcNAc modification at threonine residues 585 and 586, which elevates the level of its GTP-bound active form. This modification facilitates the translocation of DRP1 from the cytoplasm to the mitochondria, inducing mitochondrial fission and decreasing mitochondrial membrane potential, thus further exacerbating mitochondrial dysfunction in DCM.25

    Mitophagy exerts a pivotal function in cardiac development and maturation.26 Impaired mitophagy leads to mitochondrial dysfunction and lipid accumulation, exacerbating the progression of DCM. Accumulating evidence indicates that the loss of Parkin inhibits mitophagy,27 leading to enhanced lipid accumulation and deteriorated diastolic dysfunction. Conversely, the activation of mitophagy mitigates mitochondrial dysfunction, diminishes lipid accumulation, and improves diastolic function.28 FUN14 domain-containing protein 1 (FUNDC1) serves as a mitophagy receptor, interacting with microtubule-associated protein 1 light chain 3 (LC3) to initiate mitophagy in mammalian cells. The interaction among FUNDC1, DRP1, and OPA1 contributes to the regulation of mitochondrial fission, fusion, and mitophagy, thus maintaining mitochondrial quality control (Figure 1).29 Notably, emerging research has demonstrated that downregulating FUNDC1 expression alleviates mitochondrial calcium overload, ultimately improving DCM outcomes.30 Overall, a more profound understanding of mitochondrial dynamics and mitophagy mechanisms may lay the foundation for more efficacious therapeutic strategies and drug development for DCM in the future (Table 1).

    Table 1 Comparison of the Roles of Key Molecules Regulating Mitochondrial Function in Diabetes-Related Complications

    Figure 1 The role and mechanism of mitochondrial dynamics and autophagy in diabetic complications, as well as related potential therapeutic targets.

    Abbreviations: MFN1, mitofusin 1; MFN2, mitofusin 2; OPA1, optic atrophy 1; DRP1, dynamin-related protein 1; FIS1, fission protein 1; MFF, mitochondrial fission factor; PINK1, PTEN-induced kinase 1; DCM, diabetic cardiomyopathy; AGEs, advanced glycation end products; ROS, reactive oxygen species; O-GlcNAc, O-linked N-acetylglucosamine; FUNDC1, FUN14 domain-containing protein 1; LC3, light chain 3; DN, diabetic nephropathy; CKD, chronic kidney disease; PKM2, pyruvate kinase M2; PACS-2, phosphofurin acidic cluster sorting protein 2; MAM, mitochondrial-associated membrane; FOXO1, fork head box protein O1; PGRN, progranulin; mtDNA, mitochondrial DNA; DPN, diabetic peripheral neuropathy; TNF-α, tumor necrosis factor-α; IL-1, interleukin-1; IL-6, interleukin-6; Mul1, mitochondrial ubiquitin ligase 1; ER, endoplasmic reticulum; DR, diabetic retinopathy; NGR1, notoginsenoside R1; TXNIP, thioredoxin-interacting protein; Sirt3, sirtuin 3; LRP6, low density lipoprotein receptor – related protein 6; SGLT-2, sodium-glucose cotransporter-2; TCM, traditional Chinese medicine; TLN, tangluoning; PGC-1α, peroxisome proliferator-activated receptor gamma coactivator-1α; KD, ketogenic diet; Arfip2, ADP-Ribosylation Factor-Interacting Protein 2; PARP1, poly (ADP-ribose) polymerase 1; SGLT-2, sodium-glucose cotransporter-2; HIF-1α, Hypoxia-inducible factor-1α; JCYSTL, Jin-Chan-Yi-Shen Tong-Luo formula; SBN, Silybin; PCN, Piceatannol.

    Mitochondrial Dynamics, Mitophagy and Diabetic Nephropathy

    Diabetic nephropathy (DN) is one of the major microvascular complications of diabetes and a leading cause of chronic kidney disease (CKD) and end-stage renal disease, affecting approximately 700 million people worldwide.44 The pathogenesis of DN is multifactorial, encompassing metabolic derangements, hemodynamic changes, immune-inflammatory responses, cellular and molecular mechanisms, and genetic susceptibility.45,46 Under hyperglycemic conditions, excessive generation of ROS and the accumulation of AGEs induce cellular dysfunction and renal cell injury.46 Moreover, diabetes is frequently associated with hypertension, which exacerbates glomerular hyperfiltration, leading to glomerular hypertrophy, tubulointerstitial fibrosis, ultimately impairing renal function.46

    Mitochondrial fission is intricately linked to the pathogenesis of DN. In diabetic mice, podocyte-specific deletion of DRP1 diminishes proteinuria, attenuates mesangial matrix expansion, and maintains podocyte morphology. Evidence from both in vivo and in vitro models indicates that DRP1 inhibition enhances mitochondrial adaptability in podocytes, mitigates excessive mitochondrial fission, and retards DN progression, thereby improving renal injury in diabetic mice.47 Pyruvate kinase M2 (PKM2) is a key regulator of podocyte development and promotes OPA1 expression to maintain mitochondrial stability (Figure 1).33,48 Additionally, the overexpression of phosphofurin acidic cluster sorting protein 2 (PACS-2) has been shown to inhibit DRP1 mitochondrial recruitment, reducing high glucose-induced mitochondrial hyperfission. This restoration of mitochondrial-associated membrane (MAM) integrity enhances mitophagy, as demonstrated in the renal tubules of diabetic mice and in PACS-2-overexpressing HK-2 cells. These changes are closely associated with alterations in mitochondrial dynamics and mitophagy-related proteins, including DRP1 and Beclin-1.35,49

    Preclinical evidence demonstrates that suppressing mitophagy in podocytes drives the progression of DN.50 The progression of DN is associated with a gradual decline in Parkin expression in renal tubular epithelial cells of diabetic patients, whereas Parkin overexpression has been found to alleviate inflammation and improve renal function in STZ-induced diabetic mice.51 In both Arfip2-knockout human podocytes and Arfip2-knockout combined with STZ-induced diabetic mouse models, Arfip2 deficiency exacerbates autophagic dysfunction in mice, leading to podocyte foot process effacement, histopathological changes, and early albuminuria, while in human podocytes, it disrupts ATG9A trafficking and the PINK1/Parkin pathway, resulting in impaired mitochondrial fission and reduced mitophagy; thus, Arfip2 may represent a novel regulator of podocyte autophagy and mitochondrial homeostasis.42 Fork head box protein O1 (FOXO1) transcriptionally activates PINK1, leading to the upregulation of Parkin expression and the initiation of mitophagy. Activation of FOXO1 has been shown to mitigate diabetes-induced podocyte injury in renal tubules and protect kidney function. Additionally, progranulin (PGRN), a secretory glycoprotein precursor, enhances mitophagy by promoting PINK1 and Parkin expression, thereby slowing the progression of DN. Moreover, DN patients display reduced mitochondrial DNA (mtDNA) content, leading to impaired energy metabolism and metabolic inflexibility, which further exacerbates mitochondrial dysfunction and renal pathology.52 MtDNA mutations compromise mitophagy efficiency, as mitochondria with mtDNA mutations can evade mitophagic clearance.53 The cooperative interaction among FOXO1, Arfip2, PGRN, PINK1, and Parkin is essential for preserving podocyte integrity and represents a promising molecular target for DN therapy (Table 1).39,54,55

    Elucidating the mechanisms of mitochondrial dynamics and mitophagy, along with identifying key molecular targets, could pave the way for innovative therapeutic strategies in the management of DN.

    Mitochondrial Dynamics, Mitophagy and Diabetic Peripheral Neuropathy

    Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes, typically manifesting as symmetrical pain and sensory abnormalities in the lower limbs. The pathogenesis of DPN is closely associated with hyperglycemia, dyslipidemia, and insulin resistance.56 Hyperglycemia-induced metabolic disorders lead to elevated ROS levels, resulting in oxidative stress that damages neuronal cell membranes and intracellular molecules, ultimately causing neuronal injury.57 Moreover, hyperglycemia triggers an inflammatory response, increasing the levels of pro-inflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1), and interleukin-6 (IL-6). This inflammatory milieu exacerbates neuronal dysfunction and promotes apoptotic cell death, further deteriorating neural integrity in DPN.58

    Mitochondria play a crucial role in the pathophysiology of DPN. Mitochondrial dysfunction in DPN is characterized by excessive ROS production, calcium homeostasis imbalance, decreased mitochondrial membrane potential, ATP depletion, and subsequent impairments in axonal transport or increased apoptotic factors.59 These diabetes-induced structural and functional mitochondrial alterations directly compromise neuronal energy metabolism and metabolic equilibrium, thereby exacerbating neuronal dysfunction in DPN.60 Mitochondrial dynamics are essential for synaptic function, and the loss of MFN2 impairs axonal mitochondrial transport, disrupting energy supply to neurons and exacerbating metabolic deficits.31 Furthermore, mitochondrial dynamics are closely linked to the PKA/AKAP1 signaling pathway. PKA-mediated phosphorylation regulates mitochondrial morphology by modulating DRP1, a process crucial for maintaining neuronal structure and function. Excessive phosphorylation of DRP1 leads to excessive mitochondrial fission, leading to compromised energy metabolism and neuronal structural instability.36,61 Given these findings, targeting mitochondrial dynamics may represent a promising therapeutic strategy for DPN (Table 1).

    Moreover, mitochondrial dysfunction augments neuronal energy demands, thereby exacerbating synaptic impairment and neurological dysfunction. Within this pathological context, mitophagy functions as a selective quality-control mechanism, critically mitigating neuronal injury and promoting neuronal survival. Neurons require a continuous supply of energy to maintain synaptic transmission and long-distance axonal transport. Insufficient autophagosome load leads to the release of large amounts of ROS from damaged mitochondria, resulting in DNA fragmentation and protein misfolding. However, persistent hyperglycemia may cause the autophagosome load to exceed the normal threshold, leading to reduced autophagic efficiency and accumulation of autophagosomes.62,63 Mitochondrial ubiquitin ligase 1 (Mul1) suppresses Parkin-mediated mitophagy in mature neurons by maintaining the contact sites between the endoplasmic reticulum (ER) and mitochondria. Experimental evidence indicates that Mul1 deficiency upregulates MFN2 activity, inducing excessive mitochondrial fusion, and functions as an antagonist of ER-mitochondrial tethering, thereby decreasing ER-mitochondrial interactions. The diminished ER-mitochondria contact results in increased cytosolic calcium ion concentration, which activates calcineurin, subsequently triggering DRP1-dependent mitochondrial fission and mitophagy.64 Studies have shown that in db/db mouse models, poly(ADP-ribose) polymerase 1 (PARP1) induces peripheral nerve injury by inhibiting mitophagy in dorsal root ganglion neurons, whereas administration of PARP1 inhibitors ameliorates such nerve injury symptoms.40 Chronic dysregulation of calcium homeostasis may impair the balance between mitochondrial fission and fusion, resulting in decreased autophagic efficiency. Sustained hypercalcemia in neurons can inhibit mitochondrial mobility and impede the docking of autophagosomes with lysosomes.65 Furthermore, mitophagy facilitates the removal of excessive ROS and damaged mitochondria, thereby reducing oxidative stress, protecting neurons from damage, and extending their lifespan.66 Thus, modulating the interplay between MFN2, DRP1, and Parkin not only optimizes mitochondrial dynamics but also fine-tunes mitophagy, additionally, targeting such mechanisms as mitochondrial autophagic flux and calcium dynamics may represent a novel therapeutic strategy for DPN. (Figure 1).

    Mitochondrial Dynamics, Mitophagy and Diabetic Retinopathy

    Diabetic retinopathy (DR) is a common microvascular complication of diabetes, characterized by chronic and progressive retinal microvascular leakage and occlusion, leading to a series of fundus pathologies that result in visual impairment and even blindness. According to statistical data from 2020, approximately 1.07 million individuals worldwide have experienced blindness due to DR, while about 3.28 million have suffered from vision impairment caused by this condition.67 The pathogenesis of DR is multifactorial, encompassing hyperglycemia-driven metabolic derangements, inflammatory cascades, mitochondrial dysfunction, microvascular anomalies, pathological neovascularization, and neurodegenerative processes.68

    Hyperglycemia-induced inflammatory responses augment vascular permeability and retinal blood flow, ultimately culminating in apoptosis. Under hyperglycemic conditions, excessive generation of ROS inflicts damage on mitochondrial DNA, resulting in mitochondrial dysfunction and retinal impairment. Retinal ischemia and hypoxia exacerbate capillary endothelial cell injury, ultimately promoting neovascularization.69,70 In diabetic mice, the retinal expression of OPA1 is markedly decreased, resulting in mitochondrial swelling and localized constriction, thus facilitating mitochondrial fission. This phenomenon is associated with partial mitochondrial damage in the retinal capillaries of diabetic mice.34 In both in vivo and in vitro models of DR, overexpression of MFN2 in retinal endothelial cells has been demonstrated to safeguard against hyperglycemia-induced structural and functional mitochondrial damage, enhance mitochondrial DNA integrity and transcription, and mitigate the hyperglycemia-induced elevation in capillary cell apoptosis.32 In DR, the levels of MFN2 protein are decreased, whereas the levels of DRP1 are increased,37 resulting in augmented mitochondrial fission and compromised fusion. Excessive mitochondrial fragmentation initiates endothelial cell apoptosis, further exacerbating retinal vascular dysfunction.

    Under high-glucose conditions, Parkin accumulates within the mitochondria of retinal cells, thereby inducing mitophagy. However, in the diabetic retina of db/db mice, the mitophagosome-to-mitochondria ratio is reduced, accompanied by increased oxidative stress, which may be mediated by alterations in mitophagy-related proteins such as PRKN and PINK1.71 Notably, notoginsenoside R1 (NGR1) has been demonstrated to augment PINK1-Parkin–dependent mitophagy, thereby alleviating retinal cell damage.41 Müller cells, which are the predominant type of glial cells in the retina, play a crucial role in maintaining retinal function and homeostasis.72 Neurovascular coupling represents a core mechanism that sustains normal neural function—particularly visual function—by regulating vascular activity to match the metabolic demands of neurons in the retina and brain. When retinal neuronal activity increases, insufficient vascular dilation leads to inadequate blood flow and oxygen supply, triggering local hypoxia and damaging mitochondria in retinal neurons and glial cells such as Müller cells. This not only exacerbates energy metabolism disorders but also impairs the regulatory capacity of neurovascular coupling.73,74 Mitochondria are key regulators of neurovascular coupling. Under diabetic conditions, mitochondrial dysfunction induces abnormal signal transmission between neurons and vascular endothelial cells: excessive production of mitochondrial ROS inhibits the bioavailability of nitric oxide, impairs vasodilation, and aggravates retinal ischemia and hypoxia. Additionally, mitochondrial damage activates inflammatory pathways, promotes macrophage polarization, and further disrupts the blood-retinal barrier. The interplay between inflammation and mitochondrial dysfunction accelerates the progression of DR.75–77 Hyperglycemia induces an upregulation of thioredoxin-interacting protein (TXNIP) levels, promotes mitochondrial fission, and enhances autophagic flux in Müller cells. Silencing of TXNIP decreases both mitochondrial fission and autophagy in these cells,78 indicating that targeting TXNIP may represent a potential therapeutic strategy for diabetes and its associated complications, including DR (Figure 1).38,43 Moreover, the mitochondrial deacetylase Sirtuin 3 (Sirt3) is capable of activating mitophagy via the FOXO3a/PINK1-Parkin pathway, thereby safeguarding retinal pigment epithelial cells.79 The interaction between mitochondrial dynamics and autophagy exerts a significantly influence on retinal cell fate and overall health and function of the retina. The dynamic balance between these processes is essential for maintaining cellular homeostasis. Modulating the PINK1/Parkin pathway or inhibiting mitochondrial fission proteins, including DRP1, can effectively alleviate retinal cell damage and preserve visual function, presenting novel therapeutic approaches for DR. As research progresses, these insights could offer valuable guidance for the development of pharmacological interventions aimed at treating DR (Table 1).

    Application Prospects of Mitochondrial-Related Intervention Strategies in Diabetic Complications

    Mitochondria represent one of the most crucial organelles for maintaining cellular homeostasis. The interaction between mitochondrial dynamics and autophagy is fundamental for preserving organ function and regulating physiological processes. A more profound comprehension of these mechanisms may expedite the development of novel therapeutic strategies. Mitochondrial fission inhibitors, including Mdivi-1,80 P110, and DRP1i27,81 decrease DRP1 levels, inhibit mitochondrial fragmentation, and enhance mitochondrial fusion. Mdivi-1, a quinazolinone derivative, has been demonstrated to attenuate the activation of DRP1 signaling in vivo studies of end-stage DCM in mice (Figure 1). Specifically, Mdivi-1 alleviates autophagy inhibition and fatty acid metabolism dysregulation resulting from low density lipoprotein receptor – related protein 6 (LRP6) deficiency, ultimately ameliorating cardiac dysfunction.82 Melatonin improves mitochondrial function and cardiac function by inhibiting SIRT1/PGC-1α-dependent mitochondrial fission, which reduces the expression level of Drp1, thereby suppressing mitochondrial remodeling and oxidative stress, decreasing cardiomyocyte apoptosis.83 Sodium-glucose cotransporter-2 (SGLT-2) inhibitors have demonstrated the ability to prevent mitochondrial swelling, enhance mitochondrial repair and regeneration, and ameliorate mitochondrial dysfunction by inhibiting aberrant mitochondrial fission via the AMPK signaling pathway.84 Moreover, autophagy inducers including rapamycin have been proposed to alleviate diabetes-associated renal injury by promoting autophagic activation.48 As a deacetylase 1 activator, silybin (SBN) can ameliorate high glucose -induced sciatic nerve injury and oxidative damage in mouse neuroblastoma cells (N2A) and STZ-induced Sprague-Dawley rats, and exerts neuroprotective effects by enhancing mitophagy.85 Liraglutide prevents DR by inhibiting the PINK1/Parkin pathway, thereby reducing mitophagy.86

    Certain bioactive compounds derived from traditional Chinese medicine (TCM), including punicalagin and paeonol, have been demonstrated to attenuate oxidative stress by modulating mitochondrial fusion, thereby ameliorating DCM.87 Moreover, ginseng and its bioactive extracts exhibit protective effects against DCM by improving mitochondrial dysfunction.88 Berberine, a quaternary ammonium alkaloid extracted from Coptis chinensis (Huanglian) and Phellodendron amurense (Huangbai), enhances mitochondrial energy homeostasis by activating the peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α) signaling pathway.89 Furthermore, berberine has been demonstrated to mitigate high-glucose-induced mitochondrial fission and fusion imbalance, as well as impairments in mitotic progression. It exerts protective effects against cardiomyocyte damage by promoting AMPK-dependent mitophagy activation, leading to reduced mitochondrial abundance and cellular injury.90 In high glucose/hypoxia-induced HK-2 cells and unilateral nephrectomy combined with STZ-induced diabetic kidney disease rat models, Jin-Chan-Yi-Shen Tong-Luo formula (JCYSTL) protects renal tubules against mitochondrial dysfunction and apoptosis by stabilizing HIF-1α to activate PINK1/Parkin-mediated mitophagy.91 Tangluoning (TLN), a TCM formulation, has been studied for its efficacy in preventing and treating DPN. In DPN rat models, TLN enhances mitochondrial function by inhibiting DRP1 expression and phosphorylation, thereby suppressing mitochondrial fission and upregulating fusion proteins MFN1, MFN2, and OPA1.92 Piceatannol (PCN), a SIRT1 activator, exerts neuroprotective effects by promoting mitobiogenesis and mitophagy through the SIRT1-PGC-1α-NRF2-TFAM and SIRT1-PINK1-Parkin axes.93 TCM offers significant promise in modulating mitochondrial function and autophagy, presenting novel therapeutic strategies for diabetic complications. TCM-based interventions targeting the PINK1/Parkin-mediated mitophagy pathway may exert neuroprotective effects in DN. Furthermore, the regulation of mitochondrial dynamics proteins, including MFN1, MFN2, and DRP1, may help restore mitochondrial homeostasis, presenting novel therapeutic insights for managing diabetes-related complications.94

    The ketogenic diet (KD) is a therapeutic dietary approach that influences mitochondrial dynamics by modulating the AMPK/mTOR signaling pathway.95 Regular physical exercise and a balanced dietary regimen can reduce excessive apoptosis, promote cellular health, and enhance mitochondrial function and autophagy (Table 2).96,97

    Table 2 Summary of Bioactive Compounds Targeting Mitochondrial Dynamics and Autophagy

    Diagnostic Monitoring and Precision Medicine Technologies for Diabetes Mellitus and Mitochondrial Dysfunction

    Accurate diagnosis of diabetes mellitus and monitoring of mitochondrial dysfunction are crucial for formulating effective management and intervention strategies. Mitochondrial dysfunction can be diagnosed and identified through metabolomics, proteomics analyses, and imaging techniques, while artificial intelligence has also shown great potential in processing diabetes-related multi-omics data, including genomics, proteomics, and metabolomics.

    Metabolomics analysis can characterize metabolic pathways and identify disease-related biomarkers by comprehensively detecting small-molecule metabolites in biological samples such as blood, urine, and tissues. This analysis can reveal systemic metabolic abnormalities and mitochondrial dysfunction, facilitating early disease detection and intervention. Among them, targeted metabolomics and flux analysis techniques can deeply dissect the mechanisms underlying mitochondrial metabolism and energy homeostasis, providing support for the development of personalized therapeutic approaches based on individual metabolic characteristics.98,99

    Imaging techniques such as positron emission tomography (PET), magnetic resonance imaging (MRI), and near-infrared spectroscopy (NIRS) provide non-invasive diagnostic approaches for evaluating mitochondrial dysfunction in diabetes mellitus by visualizing in vivo mitochondrial function and tissue metabolism. Specifically, PET imaging uses radiolabeled tracers like [18F] fluorodeoxyglucose (FDG) and [11C] acetate to assess glucose uptake and oxidative metabolism in tissues, thereby facilitating in-depth understanding of mitochondrial function and energy metabolic status in diabetic tissues. MRI techniques, including magnetic resonance spectroscopy and diffusion-weighted imaging, can quantify tissue metabolites and water diffusion properties, providing information related to mitochondrial function and tissue microstructure.100,101

    Data-driven precision medicine provides innovative approaches for the prediction and management of type 2 diabetes mellitus (T2DM). With the advancement of big data and artificial intelligence technologies, the medical field can more accurately identify and predict T2DM risks. By integrating multi-dimensional data including genomics, metabolomics, lifestyle, and environment, artificial intelligence can not only analyze an individual’s genetic susceptibility and potential metabolic disorders but also comprehensively and dynamically monitor patients’ health status, thereby enabling early warning and personalized treatment of the disease.102

    Conclusion

    Mitochondrial dynamics and autophagy play critical roles in the pathogenesis and progression of diabetic complications. Mitochondrial dynamic imbalance, characterized by aberrant mitochondrial fusion and fission, results in diminished bioenergetic capacity, excessive ROS generation, and compromised mitophagy. These pathological changes are closely associated with the development of chronic diabetic complications, and their regulatory processes are complex and sophisticated, involving interactions among multiple signaling pathways and key molecules. However, due to the unclear regulatory mechanisms of these molecules, it is difficult to precisely target specific targets in mitochondrial dynamics and autophagy in practice, and single interventions fail to achieve satisfactory therapeutic efficacy, thus requiring the combined application of multiple approaches. With the rapid advancement of science and technology, combining omics technologies, artificial intelligence-based prediction, and novel imaging methods in the future is expected to improve diabetic complications through mitochondrial-targeted therapy. This review synthesizes the roles and molecular mechanisms of mitochondrial dynamics and autophagy in diabetic complications (Figure 1). Despite significant progress in recent studies, several unresolved issues remain, including unclear cross-talk between regulatory pathways, undefined epigenetic regulatory mechanisms, lack of systematic investigation into cell-type-specific differences, and insufficient research on the impacts of environmental and genetic factors. Future investigations should further clarify the precise regulatory mechanisms of mitochondrial dynamics and autophagy, while exploring their therapeutic potential for diabetic complications.

    Acknowledgments

    This work was supported by the “National Clinical Key Specialty Cultivation Project Platform for Endocrinology” (2024NMKFKT-01), and the “Yunnan Province Prosper Yunnan Talent Support Program” (YNWR-QNBJ-2018-070), and the “Reserve talents of young and middle-aged academic and technical leaders in Yunnan Province” (2018HB050).

    Disclosure

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

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  • How US could turn Pakistan into an energy export powerhouse

    How US could turn Pakistan into an energy export powerhouse

    Pakistan stands at a pivotal juncture in its energy journey, where persistent dependence on imported oil and gas collides with the promise of untapped domestic resources.

    New discoveries, seismic surveys and growing international interest point to opportunities to reduce import reliance and enhance long-term energy security. At the same time, policymakers and industry leaders are exploring ways to channel investment into local resources while forging global partnerships to unlock this promise.

    As of December 2024, Pakistan’s proven oil reserves were at approximately 238 million barrels, representing a 23% increase from around 193 million barrels in December 2023.

    Though modest by global standards, the rise highlights the country’s latent potential and the need for sustained investment in domestic exploration. Despite this encouraging rise, domestic production still falls short of meeting national demand, leaving Pakistan heavily reliant on imports to fuel its industries, transport and households.

    The cost of this reliance is steep. In FY2023–24, Pakistan’s petroleum import bill reached US$15.16 billion, according to the State Bank of Pakistan, with some estimates placing it as high as $16.91 billion.

    This ongoing outflow of foreign exchange underscores why developing local reserves remain an urgent priority. Every barrel produced domestically represents not just a saving in import costs but also is a step toward greater national resilience.

    Beyond conventional oil and gas, Pakistan ranks among the world’s most promising nations in terms of shale energy potential. According to the US Energy Information Administration (EIA), Pakistan may hold up to 9 billion barrels of technically recoverable shale oil and around 105 trillion cubic feet of shale gas, mostly in the Sembar and Ranikot formations of the Lower Indus Basin. If developed, these resources could transform Pakistan’s energy landscape.

    However, these figures represent geological potential, not proven reserves. Unlocking them would require substantial drilling, advanced technologies and a carefully phased development strategy. Industry estimates suggest a minimum $5 billion initial investment and several years of groundwork would be needed before commercial-scale extraction is viable.

    This challenge, though formidable, presents an opportunity. Pakistan could leverage partnerships with technologically advanced countries and multinational energy firms to access the expertise, capital and innovation required to realize these untapped resources. Positioning itself as a favorable investment destination could set the stage for a major energy sector transformation.

    The Pakistan-US investment relationship remains underutilized, particularly in sectors such as energy, IT, agriculture, and minerals. Pakistan’s mineral wealth—valued between $6–8 trillion—includes copper, lithium, and rare earths, which are critical to the US clean energy transition and technological competitiveness.

    The Special Investment Facilitation Council (SIFC) has played a key role in streamlining procedures and encouraging investment, especially in renewables and mining. Expanding US FDI in energy and minerals is not just economically sound—it’s strategically imperative for both nations.

    Momentum is also building offshore. A multi-year seismic survey in early 2024 identified promising hydrocarbon structures in the offshore Indus Basin.

    Although early-stage, these findings suggest Pakistan’s coastal regions may hold the key to future discoveries. Successful offshore exploration would not only diversify the energy mix but also elevate Pakistan’s role as a serious player in the global energy markets.

    These developments highlight that Pakistan is not resource-poor—it is resource-underdeveloped. With the right strategy and partnerships, the country could convert geological promise into economic strength, supporting industrial growth, job creation and balance-of-payments stability.

    Energy development must be viewed in the broader context of international partnerships. Since achieving independence in 1947, Pakistan’s relations with the US have weathered geopolitical shifts, yet maintained resilient trade and investment. Today, the U.S. remains Pakistan’s largest export market—accounting for around 17% of exports—and a key source of FDI.

    American firms have invested in Pakistan’s consumer goods, ICT, renewables and financial services, bringing global expertise while creating local opportunities. In return, Pakistan exports textiles, apparel and a growing array of goods, making the US-Pakistan bilateral trade corridor one of South Asia’s most important.

    In July–August 2025, high-level talks led to a new trade agreement focused on developing Pakistan’s oil reserves and reducing bilateral tariffs. The pact aims to deepen cooperation in hydrocarbons and expand market access for Pakistani exports.

    US President Donald Trump even suggested future exploration could position Pakistan as a regional energy exporter—an ambitious yet symbolic endorsement of Pakistan’s potential.

    Pakistan’s energy challenge is real—but so too is its potential. With rising proven reserves, vast shale prospects and promising offshore surveys, the nation stands on the cusp of transformation. Reform, innovation and foreign investment will be key to turning that promise into performance.

    For partners like the US, deeper engagement in Pakistan’s energy sector is both a strategic and economic opportunity that could help undergird regional stability. If managed effectively, Pakistan could shift from chronic energy dependence to become a resilient, self-sufficient player in the global energy market.

    Abubakar Iqbal Sheikh works at a multinational oil and gas drilling company.

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  • Gerard Depardieu ordered to stand trial for rape — lawyer – DW – 09/02/2025

    Gerard Depardieu ordered to stand trial for rape — lawyer – DW – 09/02/2025

    A French judge on Tuesday ordered actor Gerard Depardieu to stand trial on charges of rape and sexual assault, the plaintiff and her lawyer said.

    Depardieu is accused of raping and sexually assaulting actor Charlotte Arnould in 2018, her lawyer, Carine Durrieu Diebolt, was cited by the AFP news agency as saying.

    Arnould said in a post on Instagram that she was “relieved” by the court’s decision to hold a trial.

    “I think I’m having trouble realizing how huge this is. I’m relieved,” she said, adding she had gone through “seven years of horror and hell.”

    Depardieu has denied the allegations.

    The 76-year-old has acted in over 200 films and televisions series.

    Some 20 women have accused Depardieu of inappropriate conduct. He is one of the most high-profile French figures to be accused in the #MeToo movement.

    In May, Depardieu was handed an 18-month suspended sentence after he was convicted of sexual assault for groping two women on a film set in 2021.

    This is a developing news story. Please refresh the page for updates.

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  • Toyota GR Supra selected as official pace car for 2025 NASA Championships

    Toyota GR Supra selected as official pace car for 2025 NASA Championships

    The Toyota GR Supra has been chosen to be the official pace car for the 2025 National Auto Sport Association (NASA) Championships. It will be the third GR Sports car to carry out the duties for NASA’s Nationals.

    Under the hood, is a 3.0-liter inline-six, twin-scroll, turbocharged engine producing 382hp and 368lb-ft of torque. Finished in a bold Toyota Gazoo Racing livery of red, white and black, the GR Supra will lead the field at the National Auto Sport Association’s (NASA) marquee annual event.

    “At Toyota, our passion for performance and motorsports runs deep, and we’re honored to support grassroots racing through our relationship with NASA,” said Mike Tripp, group vice president, Toyota Marketing at Toyota North America. “We’re especially proud to have the GR Supra pacing the 2025 Championships at Ozarks International Raceway — marking its debut as the official NASA Champs pace car.”

    The 2026 model year will mark the final production run of the GR Supra, available in 3.0, 3.0 Premium and MkV Final Edition trims, and all offered with a choice of 6-speed manual or 8-speed automatic transmission.

    The limited-run 2026 GR Supra MkV Final Edition will see only 1,300 units in North America. Offered in red, black and white, the MkV Final Edition features a GT4-Style package with matte-finish paint, race-inspired graphics, carbon fiber red mirror caps, dual stainless steel exhaust tips and a carbon-fiber ducktail spoiler.

    “The relationship between Toyota and NASA has been an incredible way to introduce sports car owners to the world of performance driving in a safe and responsible manner,” said Jeremy Croiset, chief executive officer of NASA. “We’re especially excited to welcome the GR Supra for the first time as the official pace car for the 2025 NASA Championships at Ozarks International Raceway.”

    The event will take place on September 4 to 7, 2025, at Ozarks International Raceway in Gravois Mills, Missouri.

    In related news, Ram has confirmed that Kaulig Racing will become the anchor factory team for the truck maker’s anticipated return to NASCAR, starting with the NASCAR Craftsman Truck Series in 2026

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  • Common diabetes drug metformin may alter metal amounts in blood, study finds

    Common diabetes drug metformin may alter metal amounts in blood, study finds

    Clinical trials and experiments in animals are needed to discern cause-and-effect links between how metformin works and the effects it produces, findings from which could help in developing new drugs, the team said |Photograph used for representational purpose only
    | Photo Credit: Getty Images

    Metformin, a commonly prescribed anti-diabetic drug, could impact metal levels in blood by significantly lowering copper and iron and spiking zinc amounts, possibly related to preventing complications, according to a study.

    The drug helps one manage diabetes by lowering blood sugar levels.

    The findings, published in the British Medical Journal (BMJ) Open Diabetes Research and Care, are an important step in understanding how the common anti-diabetes drug works, researchers said.

    “It is significant that we could show this in humans. Furthermore, since decreases in copper and iron concentrations and an increase in zinc concentration are all considered to be associated with improved glucose tolerance and prevention of complications, these changes may indeed be related to metformin’s action,” author Wataru Ogawa, an endocrinologist and professor at Japan’s Kobe University, said.

    Among nearly 200 diabetes patients at the at Kobe University Hospital — half of whom took metformin for at least six months and half did not — samples of blood serum were analysed for copper, iron and zinc, along with substances that might indicate metal deficiency.

    “Metformin users showed significantly lower serum copper and iron levels, and higher zinc levels, compared to the non-users,” the authors wrote.

    Further, the lowered copper and iron measures were found to be in line with deficiencies of the metals.

    The changes in metal amounts in blood could be related to the effects produced in the body due to metformin, which also include benefits such as action against tumours and inflammation, the authors added.

    “It is known that diabetes patients experience changes in the blood levels of metals such as copper, iron and zinc. In addition, chemical studies found that metformin has the ability to bind certain metals, such as copper, and recent studies showed that it is this binding ability that might be responsible for some of the drug’s beneficial effects,” Ogawa said.

    “So, we wanted to know whether metformin actually affects blood metal levels in humans, which had not been clarified,” the author said.

    Clinical trials and experiments in animals are needed to discern cause-and-effect links between how metformin works and the effects it produces, findings from which could help in developing new drugs, the team said.

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