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.

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.

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 explore the correlation of cumulative atherogenic index of plasma (cumAIP) and cumulative atherosclerosis index (cumAI) with new-onset non-alcoholic fatty liver disease (NAFLD).Methods:From January 2017 to December 2023, 2 472 subjects who underwent health checkups at the Second Affiliated Hospital of Dalian Medical University for 3 consecutive years were enrolled. Triglyceride, total cholesterol, high density lipoprotein cholesterol and their measurement time intervals were used to calculate cumAIP and cumAI. The subjects were divided into Q1, Q2, Q3 and Q4 groups with the threshold values of 25th percentile, median and 75th percentile of the baseline atherogenic index of plasma (AIP) and atherosclerotic index (AI) subjects. Cox regression model was used to analyze the effects of cumAIP and cumAI on the new-onset NAFLD, restricted cubic spline was performed to analyze the nonlinear association between cumAIP and cumAI and new-onset NAFLD, and the clinical decision curve was used to compare the decision value of different indicators for NAFLD. Results:The risk of NAFLD gradually increased along with the increasing of cumAIP and cumAI. In the quartile groups of cumAIP, the incidence of Q1 to Q4 groups was 6.15%, 8.74%, 15.05%, and 25.08%, respectively. In the quartile groups of cumAI, the incidence of Q1 to Q4 groups was 5.99%, 11.17%, 15.21%, and 22.65%, respectively. After adjusting the confounding factors, the risk of new-onset NAFLD in the high-level group ( Q4) was higher than that in the low-level cumAIP group ( Q1) ( HR=3.15, 95% confidence interval (95% CI): 2.15 to 4.63, P<0.001) and the high-level cumAI group ( Q4) ( HR=2.74, 95% CI: 1.82 to 4.10, P<0.001). cumAIP and cumAI showed a significant nonlinear association with new-onset NAFLD ( χ2=119.15, 94.53; both P<0.001). The cumAIP had higher predictive value for NAFLD than the other cumulative lipid metrics and baseline AIP or AI. Conclusion:CumAIP and cumAI can be served as new predictive indicators of NAFLD, with a particular focus on the dynamic cumulative changes of AIP, which can achieve effective early screening for NAFLD.

[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.

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 investigate the value of MULTI-parametric MR imaging with flexible design (MTP) combined with microview diffusion weighted imaging (DWI) in predicting pituitary tumor invasion of cavernous sinus.Methods:This was a cross-sectional study. The clinicopathological and imaging data of 59 patients with suspected pituitary tumor who were admitted to the First Affiliated Hospital of Dalian Medical University from December 2021 to August 2024 were prospectively analyzed. According to Knosp classification, patients with pituitary tumor were divided into non-invasive group (28 cases) and invasive group (31 cases). All patients underwent MTP and microview DWI sequence scanning, and the corresponding parameter values [T 1, R 2*, T 2* and apparent diffusion coefficient (ADC)] were measured on the MTP quantitative map and ADC map at the maximum diameter level of the pituitary tumor. Independent sample t test and Mann-Whitney U test were used to compare the clinical data, quantitative parameter values and proliferation index (Ki-67) between the non-invasive group and the invasive group. Quantitative parameter values with statistically significant differences were jointly included in logistic regression to construct the model. Receiver characteristic curve and area under the curve (AUC) were used to analyze single variables and logistic model in predicting the value invasion of pituitary tumor cavernous sinus invasion. Spearman correlation was used to analyze the correlation between the quantitative values and Ki-67 level. Results:There was no significant difference in age and gender between the non-invasive group and the invasive group ( P>0.05). T 1 and T 2* values in invasion group were higher than those in non-invasion group ( Z=4.42, P<0.001; Z=3.43, P<0.001), R 2* values and ADC values in the invasion group were lower than those in the non-invasion group, and the difference was statistically significant (t=4.07, P<0.001; Z=-3.07, P=0.002). The AUC values of T 1, R 2*, T 2*, ADC, logistic model 1(T 1+R 2*+ADC) and logistic model 2(T 1+T 2*+ADC) for predicting pituitary tumor cavernous sinus invasion were 0.835, 0.767, 0.760, 0.733, 0.926 and 0.925, respectively. Correlation analysis showed that the value of pituitary tumor T 1 was positively correlated with Ki-67 ( r=0.431, P=0.002). Conclusion:Quantitative parameters of MTP sequence and microview DWI sequence can quantitatively evaluate pituitary tumor invasion of cavernous sinus, and the combination of the two sequences can significantly improve the prediction efficiency.

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 explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.