Background Gestational weight gain is closely related to maternal and infant health outcomes. Pregnant women are simultaneously exposed to four metals—lithium (Li), vanadium (V), uranium (U), and bismuth (Bi)—through inhalation of fine particulate matter and consumption of contaminated food and water. Existing studies suggest that exposure to these metals may be associated with gestational weight gain. However, no study has yet explored the complex relationships between exposure to mixtures of these four metals and weight gain at different stages of pregnancy. Objective To investigate the associations between mixed exposure to Li, V, U, and Bi in early pregnancy and the average weekly gestational weight gain during both early pregnancy and mid-to-late pregnancy. Methods This prospective study recruited eligible women in early pregnancy from an obstetrics clinic of a tertiary hospital in Jinan, China, between September 2021 and July 2023. Pre-pregnancy weight, current weight (at 11⁺⁰ to 13⁺⁶ weeks of gestation), and spot urine samples (≥5.0 mL) were collected at enrollment. Urinary concentrations of Li, V, Bi, and U were determined using inductively coupled plasma mass spectrometry. Participants were followed up in late pregnancy (≥28 weeks of gestation) to collect information on physical activity via questionnaire; weight measurements at the last antenatal visit (35⁺⁰ to 37⁺⁶ weeks of gestation) were obtained from the hospital information system. After adjusting for covariates, multiple linear regression and generalized additive models were used to assess the associations of individual metals with weekly weight gain in early pregnancy and in mid-to-late pregnancy. Bayesian kernel machine regression (BKMR) and quantile-based g-computation (Qgcomp) were applied to evaluate the joint effects of the metal mixture exposure on weekly weight gain at the two gestational stages. Results A total of 313 pregnant women were included. The geometric means of urinary Li, V, U, and Bi concentrations were 37.07, 0.20, 0.06, and 0.04 μg·L⁻¹, respectively; after creatinine adjustment, the corresponding values were 46.82, 0.25, 0.07, and 0.05 μg·g⁻¹ (Cr). The mean weekly gestational weight gain was (0.19±0.25) kg in early pregnancy and (0.53 ± 0.18) kg in mid-to-late pregnancy. Both multiple linear regression and generalized additive models showed that urinary V concentration was positively associated with average weekly gestational weight gain in early pregnancy, while no significant associations were found for other metals or for gestational weight gain in mid-to-late pregnancy. In the BKMR model with early-pregnancy weight gain as the outcome, V had the strongest association [posterior inclusion probability (PIP)=0.773]. When other metals were fixed at their medians, V showed a positive non-linear association with the outcome. A significant single-metal effect of V and its interaction with Li were observed. Compared with the 50th percentile of the metal mixture, the average weekly weight gain in early pregnancy increased by 0.016 (95%CI: 0.003, 0.029) and 0.018 (95%CI: 0.001, 0.036) at the 60th and 65th percentiles, respectively; conversely, at the 25th percentile, it decreased by 0.026 (95%CI: 0.002, 0.050). Overall, the joint effect of the metal mixture on early- pregnancy weight gain showed an upward trend. In the BKMR model for mid-to-late pregnancy gestational weight gain, all PIPs were<0.5, and no significant single-metal effects, interactions, or joint effects were identified. Qgcomp results confirmed a positive association between the metal mixture and early-pregnancy weight gain (b=0.031, 95%CI: 0.010, 0.051; P<0.01), with V contributing the highest positive weight (0.71). No significant association was found for weight gain in mid-to-late pregnancy (b=0.007, P=0.339). Conclusion Higher levels of co-exposure to the Li, V, Bi, and U metal mixture during early pregnancy may be associated with increased average weekly weight gain in early pregnancy. Among these metals, V exhibits a predominant role and appears to interact with Li. No association is observed between early-pregnancy metal mixture exposure and average weekly gestational weight gain in mid-to-late pregnancy. These findings suggest that monitoring and managing metal exposure during early pregnancy may be crucial for the rational regulation of gestational weight gain.

Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Primary osteoporosis （POP） is a metabolic bone disease characterized by reduced bone mass， degenerated bone microstructure， and increased bone fragility. Its pathogenesis involves the interaction of multiple factors such as genetics， aging， endocrine， and environment， which remain incompletely elucidated. Mitochondrial dysfunction can lead to insufficient adenosine triphosphate （ATP） production and abnormal accumulation of reactive oxygen species （ROS）， activating oxidative stress and inflammation pathways， thereby inhibiting osteoblast differentiation and promoting osteoclast activation， exacerbating the negative bone metabolism balance in POP. Mitochondrial autophagy， as the core mechanism of mitochondrial quality control， selectively identifies and clears damaged mitochondria to effectively reduce ROS accumulation and energy metabolism disorders， thus maintaining the balance between osteoblast and osteoclast differentiation. It plays a critical role in maintaining bone homeostasis and the prevention and treatment of POP. The traditional Chinese medicine （TCM） theory of Qi transformation shares similarities with the functions of mitochondria in energy generation and substance conversion. The pathological state of Qi deficiency and stagnation may be associated with mitochondrial autophagy dysfunction， and the pathogenic characteristics of combined phlegm and stasis align with the metabolic waste accumulation induced by obstructed autophagy flow. This article explores the correlation of the theory of Qi deficiency and stagnation with mitochondrial autophagy and elucidates its potential role in the pathogenesis of POP. Additionally， considering the pathogenesis features of POP， which involve deficiency causing stagnation and a mixture of deficiency and excess， this article proposes a novel therapeutic approach： tonifying Qi to support the body and unblocking collaterals to resolve stagnation from the perspective of mitochondrial autophagy. This article aims to provide theoretical support and research insights for further exploration of TCM in the prevention and treatment of POP.

Primary osteoporosis （POP） is a metabolic bone disease characterized by reduced bone mass， degenerated bone microstructure， and increased bone fragility. Its pathogenesis involves the interaction of multiple factors such as genetics， aging， endocrine， and environment， which remain incompletely elucidated. Mitochondrial dysfunction can lead to insufficient adenosine triphosphate （ATP） production and abnormal accumulation of reactive oxygen species （ROS）， activating oxidative stress and inflammation pathways， thereby inhibiting osteoblast differentiation and promoting osteoclast activation， exacerbating the negative bone metabolism balance in POP. Mitochondrial autophagy， as the core mechanism of mitochondrial quality control， selectively identifies and clears damaged mitochondria to effectively reduce ROS accumulation and energy metabolism disorders， thus maintaining the balance between osteoblast and osteoclast differentiation. It plays a critical role in maintaining bone homeostasis and the prevention and treatment of POP. The traditional Chinese medicine （TCM） theory of Qi transformation shares similarities with the functions of mitochondria in energy generation and substance conversion. The pathological state of Qi deficiency and stagnation may be associated with mitochondrial autophagy dysfunction， and the pathogenic characteristics of combined phlegm and stasis align with the metabolic waste accumulation induced by obstructed autophagy flow. This article explores the correlation of the theory of Qi deficiency and stagnation with mitochondrial autophagy and elucidates its potential role in the pathogenesis of POP. Additionally， considering the pathogenesis features of POP， which involve deficiency causing stagnation and a mixture of deficiency and excess， this article proposes a novel therapeutic approach： tonifying Qi to support the body and unblocking collaterals to resolve stagnation from the perspective of mitochondrial autophagy. This article aims to provide theoretical support and research insights for further exploration of TCM in the prevention and treatment of POP.

Huangqi Guizhi Wuwutang was first documented in ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han Dynasty as the principal formula for treating blood obstruction syndrome. It is composed of Astragali Radix， Cinnamomi Ramulus， Paeoniae Radix Alba， Zingiberis Rhizoma Recens， and Jujubae Fructus. This formula exhibits the effects of replenishing Qi， warming meridians， harmonizing blood， and relieving obstruction， being primarily indicated for blood obstruction syndrome characterized by diminished Yin and Yang functions with external manifestations of bodily numbness. Traditional Chinese medicine （TCM） emphasizes strict adherence to pathogenesis while applying tailored therapies， employing consistent treatment approaches for conditions with diverse clinical presentations but shared pathogenesis， which embodies the principle of treating different diseases with the same method. In modern clinical practice， Huangqi Guizhi Wuwutang is widely applied in multisystem disorders presenting with symptoms such as cutaneous numbness， cold-induced pain and stiffness， and soreness and weakness， including diabetic peripheral neuropathy， cervical radiculopathy， rheumatoid arthritis， coronary heart disease， pediatric spastic cerebral palsy， and recovery phases of cerebral infarction， demonstrating proven efficacy. Modern pharmacological studies confirm its anti-inflammatory， antioxidant-stress， hemorheological-improving， immunomodulatory， and neuroprotective effects by regulating multiple signaling pathways such as nuclear factor （NF）-κB/NOD-like receptor protein 3 （NLRP3） and nuclear factor erythroid 2-related factor 2 （Nrf2）-antioxidant response element （ARE）， thereby addressing common pathological processes including inflammation， hypercoagulability， oxidative stress， immune dysregulation， and neural injury， highlighting the integrated regulatory advantages of TCM formulas with multi-target， multi-level， multi-component， and multi-pathway mechanisms. According to the theory of treating different diseases with the same method and focusing on three core syndromes of blood obstruction， this article systematically reviews and elucidates the clinical extensions and shared mechanisms of this formula， aiming to provide evidence-based insights for the modern adaptation and precise application of this classical formula in orthopedic and related disciplines for chronic musculoskeletal disorders.

[Objective]To investigate the role of endothelial microparticles(EMPs)in diabetic macrovascular complications(DMCs),summarize the research progress and analyze the research progress on traditional Chinese medicine(TCM)regulation of EMPs for the prevention and treatment of DMCs.[Methods]Base on the research on the pathological mechanism of DMCs,the biological characteristic of EMPs and their mechanism of action in DMCs in recent years,combined with the experimental and clinical studies on the regulation of EMPs by TCM for disease prevention and treatment,their paper summarizes the action targets of EMPs in regulating the pathological process of DMCs and the resarch progress of TCM intervention,on this basis,the limitations of current research and future prospects are summarized.[Results]EMPs are important biomarkers of endothelial injury,promoting mechanisms such as inflammation,oxidative stress,thrombosis and atherosclerosis,contributes to the pathological progression of DMCs.TCM intervenes in the generation and release of EMPs through mechanisms such as regulating inflammatory responses,alleviating oxidative stress,relieving endothelial dysfunction and promoting vascular repair.This approach helps maintain endothelial homeostasis and plays a crucial role in the prevention and treatment of DMCs.[Conclusion]EMPs play a significant role in the onset and progression of DMCs,serving as potential intervention targets.TCM offers novel therapeutic approaches for the prevention and treatment of DMCs by inhibiting inflammation and oxidative stress,promoting vascular remodeling and repair,and suppressing the formation of thrombosis and atherosclerosis.

Autophagy is the essential mechanism for cell adaptation and survival. Under normal physiological conditions, autophagy activates hair follicle stem cells, induces the transition of hair follicles from the telogen phase to the anagen phase, and maintains the hair growth cycle. Moreover, autophagy can protect dermal papilla cells from damage under pathological conditions. Intervention in autophagy can slow the progress of hair loss due to the existence of impaired autophagy in androgenetic alopecia and alopecia areata. The review summarizes the role of autophagy in hair cycle regulation, cell homeostasis maintenance, and hair regeneration, providing new insights into therapeutic options targeting follicular autophagy signaling pathways.

Objective:Investigating the association of the systemic immune-inflammation index and the pan-inflammation index with incident non-alcoholic fatty liver disease (NAFLD).Methods:This retrospective cohort study included 42 891 participants who underwent at least two health examinations at the Second Affiliated Hospital of Dalian Medical University between 2014 and 2023. Based on their levels of the systemic immune inflammation index (SII) and the pan immune inflammation value (PIV), participants were respectively divided into four quartile groups (Q1 to Q4). Cox proportional hazards models were employed to analyze the association of different SII and PIV levels, as well as their quartile groups, with new onset NAFLD in the total population and across various subgroups. Restricted cubic splines were used to examine the dose response relationship between these inflammatory indices and incident NAFLD. Additionally, sensitivity analyses were conducted to confirm the robustness of the findings.Results:After adjusting for confounding factors, the natural logarithm-transformed lnSII ( HR=1.247, 95% CI: 1.184-1.314, P<0.001) and lnPIV ( HR=1.192, 95% CI: 1.148-1.238, P<0.001) were significantly positively associated with the risk of NAFLD. When the subjects were grouped by SII quartiles (Q1-Q4), compared with those in Q1, participants in Q2, Q3, and Q4 exhibited progressively higher risks of incident NAFLD:11.9% ( HR=1.119, 95% CI: 1.051-1.192, P<0.001), 17.1% ( HR=1.171, 95% CI: 1.100-1.248, P<0.001), and 29.1% ( HR=1.291, 95% CI: 1.211-1.377, P<0.001), respectively. Quartile analysis of PIV yielded similar trends: the risk of incident NAFLD increased for 10.4% ( HR=1.104, 95% CI: 1.034-1.179, P=0.003), 18.7% ( HR=1.187, 95% CI: 1.112-1.266, P<0.001), and 30.5% ( HR=1.305, 95% CI: 1.223-1.393, P<0.001) in Q2, Q3, and Q4 group respectively when compared to that in Q1 group. Subgroup analysis confirmed consistent associations of SII and PIV with elevated NAFLD risk across all subgroups. Conclusion:Elevated levels of SII and PIV are significantly associated with increased risk of NAFLD.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.

In recent years, the relationship between intestinal flora dysbiosis and abnormal bile acid metabolism and anxiety has received widespread attention. This article discussed the biological mechanism of the pathogenesis of anxiety from the perspective of intestinal flora and bile acid metabolism, in order to provide new ideas and theoretical basis for the TCM prevention and treatment of anxiety. According to TCM, spleen and stomach belong to earth, liver and gallbladder belong to wood, when spleen qi is healthy, the normal distribution of water and grain essence can be achieved, so that the liver can be nourished, qi and blood is sufficient, and its excretory function is normal, and the bile is sufficient. Once the spleen is not healthy, the distribution of water and grain essence is good, affecting the metabolism of fluids, resulting in phlegm and dampness, the qi is not smooth, can affect the liver's excretory function; liver and wood depression for a long time, transgressing the spleen and earth, qi and blood lack of biochemical sources, the formation of soil congestion and wood depression of the pathological phenomenon will appear. From the viewpoint of modern medicine and molecular biology, changes in the structure of intestinal flora affect the organism through neurological, endocrine, immune and metabolic pathways, which is consistent with the pathogenesis of "congestion of the earth"; disorders in the metabolism of bile acids can lead to changes in neurotransmitters and synaptic structure in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". The bile acid metabolism disorder can cause neurotransmitter and synaptic structure changes in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". It is important to regulate the intestinal flora and bile acid metabolism pathway to ease the liver and strengthen the spleen to improve anxiety.