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.

Interferon regulatory factor 4 (IRF4) is a critical transcription factor that governs the differentiation of cluster of differentiation 4⁺ (CD4⁺) T cells. The pathogenesis and progression of psoriasis are primarily attributed to an immune imbalance stemming from the overproduction of interleukin-17A (IL-17A) by T lymphocytes. However, the role of IRF4 in psoriasis remains unexplored. In this study, we found that IRF4 activity is increased in the cutaneous lesions of patients with psoriasis in response to stimulation by IL-23A and IL-1β. This IRF4 elevation heightens its binding to the E1A binding protein p300 (EP300) promoter, triggering the transcription of downstream retinoic acid receptor-related orphan receptor-γt (RORγt) and increasing the secretion of IL-17A, thereby establishing the IL-1β/IL-23A-IRF4-EP300-RORC-IL-17A inflammatory cascade in psoriasis. The alleviation of imiquimod (IMQ)-induced psoriatic-like symptoms was achieved through the creation of a Irf4 ^-/- gene deletion mouse model and pharmacological inhibition using antisense oligonucleotides targeted for Irf4. This amelioration was accompanied by a decreased number of IL-17A-producing CD4⁺ T cells in the skin. The findings of this study suggest that IRF4 plays a crucial role in the promotion of inflammation and exacerbation of IMQ-induced psoriasiform dermatitis. Consequently, IRF4 targeting could be a promising therapeutic strategy.

Natural products (NPs) have long held a significant position in various fields such as medicine, food, agriculture, and materials. The chemical space covered by NPs is extensive but often underexplored. Therefore, high-throughput and efficient methodologies for the annotation and discovery of NPs are desired to address the complexity and diversity of NP-based systems. Mass spectrometry (MS) has emerged as a powerful platform for the annotation and discovery of NPs. MS databases provide vital support for the structural characterization of NPs by integrating extensive mass spectral data and sample information. Additionally, the released annotation methodologies, based on a variety of informatics tools, continuously improve the ability to annotate the structure and properties of compounds. This review examines the current mainstream databases and annotation methodologies, focusing on their advantages and limitations. Prospects for future technological advancements are then discussed in terms of novel applications and research objectives. Through a systematic overview, this review aims to provide valuable insights and a reference for MS-based NPs annotation, thereby promoting the discovery of novel natural entities.
Biological Products/chemistry* ; Mass Spectrometry/methods* ; Databases, Factual ; Drug Discovery/methods* ; Humans

Objective To analyze and compare the efficacy of DNA barcode,i.e.,Cytochrome b(Cytb)and 12S ribosomal RNA(12S rRNA)gene sequences,in the species identification of wildlife.Methods DNA extraction,quantification,PCR amplification of Cytb and 12S rRNA gene fragments,Sanger sequencing,and sequence alignment analysis were performed on ten wildlife samples.Results Both gene fragments were successfully amplified in six samples,while Cytb alone was successfully amplified in 1 sample,and 12S rRNA alone in 3 samples.Sequence analysis indicated that Cytb enabled species-level identification for 6 samples(Gallinula chloropus,Streptopelia orientalis,Phasianus colchicus,Falco naumanni,Myiopsitta monachus and Lynx lynx)and genus-level identification for 1 sample(Lepus).In contrast,12S rRNA achieved species-level identificaggion for 8 samples(Gallinula chloropus,Lepus sinensis,Phasianus colchicus,Myiopsitta monachus,Muntiacus reevesi,Macaca mulatta and Lynx lynx),representing seven species,and genus-level identification for 1 sample(Falco).However,by combining Cytb and 12S rRNA,all samples could be identified to the species level.Conclusion When applying DNA barcodes to wildlife identification,the Cytb and 12S rRNA gene regions analyzed here can effectively identify common species such as Gallinula chloropus and Streptopelia orientalis,but face difficulties in distinguishing closely related species within the same genus.Therefore,when conducting wildlife species identification,it is recommended to use two or more DNA barcode markers.

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.

Objective: To investigate the iodine nutrition status of children aged 8-10 in Guangming, Longhua and Yantian District of Shenzhen in 2023, and to explore the influencing factors of thyroid volume. To evaluate prevention strategies and to provide a scientific basis for the elimination of iodine deficiency disorders. Methods: Urine and household salt samples were randomly collected from 580 non-boarding students aged 8-10 years foriodine content detection. Thyroid volume was measured using a fully digital ultrasound imaging system, and goiter prevalence was calculated. Results: A total of 580 samples was tested. The median salt iodine concentration was 23.86 mg/kg, with 93.62% qualified iodized salt and 94.48% coverage rate. The median of urinary iodine was 265.00 μg/L, mainly distributed between 200 - < 300 μg/L and ≥300 μg/L. The proportion of children with ap⁃ propriate iodine was 20. 86% , and the proportion of children with insufficient or excessive urinary iodine levels was 10. 86% and 68. 28% of the total surveyed population , respectively. The median thyroid volume was 3. 27 mL , and the goiter rate was 1. 72% . Multiple linear regression analysis showed that age was the risk factor for thyroid volume (8=0 328, P<0.05). while urinary iodine was the protective factor for thyroid volume(B=-4.134x10-4,P<0.05). Conclusion The qualified iodized salt rate, median of urinary iodine,and goiter prevalence of 580 children aged 8 - 10 meet the elimination criteria for iodine deficiency disorders. Age and urinary iodine are closely related to thyroid volume change. The urinary iodine level of children is generally high and requires serious attention.