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.

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.

Objective To explore the regulation of the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)-mediated inflammatory response in chronic obstructive pulmonary disease(COPD)by modified Shengxian Decoction through the lung-gut axis.Methods Thirty rats were divided into three groups:Control group,COPD group,and COPD+modified Shengxian Decoction(SXT)group,with 10 rats in each.The COPD model was established using passive smoking combined with intratracheal instillation of lipopolysaccharide(LPS).General symptoms and signs of the rats were monitored during the modeling and intervention periods.Hematoxylin and eosin(HE)staining and immunohistochemistry(IHC)were used to observe lung tissue structure.Enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of inflammatory cytokines interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α)in lung tissues.Flow cytometry was used to detect the number of type Ⅱ innate lymphoid cells(nILC2)and type 2 innate lymphoid cells(iILC2)in lung and intestinal tissues.Illumina MiSeq sequencing technology was used to perform 16S rRNA gene sequencing on rat feces to analyze the gut microbiota structure.Gas chromatography-mass spectrometry(GC-MS)was used to determine the content of short-chain fatty acids(SCFAs)in rat feces.Western blotting was used to detect the expressions of related proteins in the PI3K/AKT pathway.Results Compared with the Control group,the COPD group showed significantly reduced lung function indicators,increased heart rate and decreased body mass,while the SXT group showed significant improvement in lung function and general signs(P＜0.05).HE staining showed that the COPD group had lung tissue damage filled with inflammatory cells,while the SXT group had significantly fewer inflammatory cells.IHC results showed that the SXT group had significantly reduced expression of caspase-3 protein(P＜0.05).ELISA results showed that the levels of IL-6 and TNF-α were significantly increased in the COPD group,while the SXT group showed significant improvement in inflammatory damage.The ratio of nILC2 to iILC2 in lung and intestinal tissues was significantly reduced in the COPD group,indicating a significant inflammatory response,while the SXT group showed significant improvement(P＜0.05).The levels of ILC2 cytokines IL-13 and IL-4 were significantly increased in the COPD group,while the SXT group had significantly reduced IL-13 and IL-4 levels.The relative abundance of lung and gut microbiota in the SXT group was significantly higher than that in the Control and COPD groups(P＜0.05).Beta diversity index analysis showed significant differences in species diversity among the three groups(P＜0.05).GC-MS detected six types of SCFAs in rat feces:acetic acid,propionic acid,isobutyric acid,butyric acid,isovaleric acid,and valeric acid.Their levels were lower in the COPD group than in the Control group,but the levels in the SXT group were higher than those in the COPD group.Western blotting results showed that the expressions of p-PI3K,PI3K,p-AKT,AKT,p-NF-κB,and NF-κB proteins were significantly reduced in the SXT group compared to the COPD group(P＜0.05).ELISA results showed that the SXT group had significantly downregulated expression levels of IL-1β and IL-10 compared to the COPD group(P＜0.05).Conclusion Modified Shengxian Decoction can alleviate COPD inflammation.It may mediate the inflammatory response in COPD by inhibiting iILC2 cell activity and expressions of related proteins in the PI3K/AKT signaling pathway through gut microbiota metabolism.

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.

Objective To analyze the risk factors of fluconazole resistance in Candida tropicalis(C.tropicalis)urinary tract infection(UTI),and evaluate the efficacy of different treatment regimens.Methods Patients with C.tropicalis UTI at Xiangya Hospital of Central South University from January 2021 to December 2023 were in-cluded for single center retrospective study.The minimum inhibitory concentration(MIC)of fluconazole was deter-mined by microbroth dilution.Patients were divided into a fluconazole-resistant group and a fluconazole-sensitive group based on fluconazole resistance.Risk factors for fluconazole resistance were analyzed based on clinical data,and therapeutic efficacy in patients in fluconazole-resistant group was analyzed.Results A total of 198 patients were included in the study.133(67.2％)C.tropicalis strains were detected to be sensitive to fluconazole,while 65(32.8％)strains were resistant,and 63.1％(n=41)had MIC values ≥128 μg/mL.Compared with fluconazole-sensitive group,fluconazole-resistant group had a higher proportion of pulmonary infection(P=0.019).Pulmonary infection(OR=3.282)was a risk factor for fluconazole resistance in C.tropicalis UTI,while urinary system ob-struction(OR=0.269)was a protective factor for fluconazole resistance in C.tropicalis UTI.There was no statis-tically significant difference in the usage rate of different antimicrobial agent types between the two groups(all P＞0.05).The therapeutic efficacy analysis showed that the effective rates of treatment with fluconazole dosage regi-mens of ≤200 mg/d,≥400 mg/d,and fluconazole monotherapy against fluconazole-resistant strains were 66.7％(6/9),83.3％(5/6),and 100％(6/6),respectively.For patients treated with monotherapy using other drugs or with multidrug sequential treatment regimens,the treatment effective rate was 60.0％(3/5).The proportion of pa-tients in the effective treatment group who removed their urinary catheters after detecting C.tropicalis was higher than that in the ineffective treatment group(P＜0.001).Conclusion The fluconazole resistance of C.tropicalis is related to urinary tract obstruction and concurrent pulmonary infection.When treating UTI caused by fluconazole-resistant strains,the catheter should be removed as early as possible.In addition to increasing the dosage of flucon-azole,other antifungal drugs such as flucytosine alone or sequential treatment with multiple drugs can also be con-sidered.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

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.

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.