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.

ObjectiveTo investigate the mechanism by which Gegen Qinliantang（GQT） improves skeletal muscle insulin resistance. MethodsThe db/m mice were used as the normal group， while db/db mice were assigned to a model group， low-dose （3.12 g·kg^-1）， medium-dose （6.24 g·kg^-1）， and high-dose （12.48 g·kg^-1） GQT groups， and a Western medicine group （semaglutide， 0.045 mg·kg^-1），n=6 in each group. All groups received corresponding interventions. Intraperitoneal glucose tolerance test （IPGTT）， intraperitoneal insulin tolerance test （IPITT）， and hematoxylin-eosin （HE） staining were used to evaluate insulin resistance and therapeutic efficacy. Serum lipid levels were measured using an automatic biochemical analyzer， and apoptosis in skeletal muscle was assessed via TUNEL assay. Transcriptome sequencing combined with gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses was performed to identify differentially expressed genes （DEGs）. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to validate gene expression. Molecular docking was applied to evaluate the binding patterns between active components of GQT and key regulatory genes to elucidate pharmacological mechanisms. ResultsCompared with the model group， the medium-dose and high-dose GQT groups showed significantly reduced fasting blood glucose （FBG） levels （P<0.01）. Triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） were markedly decreased （P<0.01）， while high-density lipoprotein cholesterol （HDL-C） was significantly increased （P<0.01）. IPGTT， IPITT， and HE staining demonstrated that GQT enhanced insulin sensitivity and restored skeletal muscle morphology. GQT also alleviated apoptosis in skeletal muscle tissue. Transcriptome analysis revealed that GQT primarily affected biological processes such as oxidative phosphorylation， metabolic pathways， cellular processes， and protein binding. Real-time PCR results showed that CBR2， CDK6， F830016B08Rik， IL-1β， Rab27b， and COLEC12 were key regulatory genes. Molecular docking demonstrated that CBR2， IL-1β， Rab27b， and COLEC12 formed stable binding with the main active components of GQT. The therapeutic effects of high- and medium-dose GQT were comparable to those of the semaglutide group. ConclusionGQT improves skeletal muscle insulin resistance， potentially by regulating apoptosis as part of its underlying biological mechanism.

Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Zoledronic acid (ZA), a nitrogen-containing bisphosphonate with established clinical utility in osteoporosis management, exhibits emerging antitumor potential in estrogen receptor-positive breast cancer. However, the molecular mechanisms underlying its nonapoptotic anticancer effects remain poorly characterized. This study revealed that ZA induced ferroptosis in ER+ breast cancer cells through dual suppression of cystine-glutamate antiporter SLC7A11 and glutathione peroxidase 4 (GPX4), key repressors of ferroptosis. Pharmacological inhibition of ferroptosis using Ferrostatin-1 significantly attenuated ZA-induced cytotoxicity, while combinatorial treatment with the GPX4 inhibitor RSL3 synergistically enhanced lipid peroxidation and cell death. Mechanistically, ZA activated the Hippo-YAP signaling pathway, promoting YAP phosphorylation, proteasomal degradation, and cytoplasmic retention, thereby silencing SLC7A11 and GPX4. We established a novel metabolic vulnerability in hormone-responsive malignancies.These findings position ZA as a bifunctional ferroptosis inducer in ER+ breast cancer, offering a promising strategy to overcome endocrine resistance.

Objective To investigated the effects of occupational exposure to N,N-dimethylformamide (DMF) on sterol regulatory element-binding protein (SREBP) and iron metabolism among workers. Methods A total of 20 workers occupationally exposed to DMF were selected as the exposure group, and 15 healthy workers without DMF exposure from the same factory were selected as the control group using the purposive sampling method. DMF exposure levels were assessed in individual samples of the workers. The urinary N-methylformamide (NMF) levels were measured by gas chromatography. The mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood was measured by real-time quantitative polymerase chain reaction. Enzyme-linked immunosorbent assay was used to detect serum transferrin, soluble transferrin receptor (sTfR), and ferritin levels. Results The DMF exposure levels among the workers in the control group were below the detection limit, and urinary NMF was undetectable. The median DMF exposure level was 13.30 mg/m³, and the mean urinary NMF level was (9.72±1.78) mg/g Cr among the workers in the exposure group. Compared with the control group, the relative mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood of workers in the exposure group increased (all P<0.05), while the levels of transferrin and sTfR decreased (both P<0.01). However, there was no statistically significant difference in serum ferritin levels between the two groups (P>0.05). In the exposure group, urinary NMF level of workers was negatively correlated with the relative mRNA expression level of SREBP-1c in blood [correlation coefficient (r)=-0.50, P=0.03], and positively correlated with the levels of serum transferrin, sTfR, and ferritin (r = 0.63, 0.58, and 0.52, respectively; all P<0.05). Conclusion Occupational exposure to DMF can upregulate the expression of the SREBP family and disrupt iron metabolism, with a potential association between these effects.

Osteoarthritis （OA） is currently the most common type of joint degenerative disorder， typically characterized by cumulative onset at the affected sites and slow disease progression， posing a serious threat to the physical and mental health of the elderly population. Traditional Chinese medicine （TCM） has long been a hot research area in the prevention and treatment of osteoarthritis， attracting widespread attention due to its high safety and low adverse reactions. In recent years， with the continuous emergence of new research technologies and methods， significant progress has been achieved in the application of omics technologies in osteoarthritis research. Omics technologies， with their high-throughput， dynamic， and comprehensive features， provide a new technical platform for identifying biomarkers with diagnostic potential， objectifying the syndrome differentiation and treatment in TCM， and developing precise targeted therapies with TCM prescriptions. This study conducted searches in the China National Knowledge Infrastructure （CNKI） and PubMed databases， with keywords such as "osteoarthritis"，"osteoarthritis （oa）"，and "genomics" for retrieval. It classified and analyzed publications based on their specific contents to elaborate on the recent application of omics technologies in osteoarthritis research and to summarize the research progress in TCM for the prevention and treatment of osteoarthritis. This review aims to provide a basis for the diagnostic research on osteoarthritis and to offer new ideas and directions for expanding the research on TCM in preventing and treating osteoarthritis.

In-depth interviews were conducted with medical doctoral students engaged in animal experiments， animal laboratory management personnel， and ethics committee members， exploring the current status， challenges， and countermeasures regarding animal welfare protection after medical experiments based on NVivo 12 software. The study found that some laboratory animals still meet the conditions for continued breeding after the experiments， but face multiple challenges such as physiological health， psychological stress， adoption and placement， as well as ethical and legal issues. On this basis， this paper proposed countermeasures such as establishing adoption mechanisms， enhancing public awareness， and improving the ethical review system. This aimed to achieve a balance between the development of medical science and animal welfare， thereby ensuring that laboratory animals receive due respect and care after contributing to the cause of human health.

Osteoarthritis （OA） is currently the most common type of joint degenerative disorder， typically characterized by cumulative onset at the affected sites and slow disease progression， posing a serious threat to the physical and mental health of the elderly population. Traditional Chinese medicine （TCM） has long been a hot research area in the prevention and treatment of osteoarthritis， attracting widespread attention due to its high safety and low adverse reactions. In recent years， with the continuous emergence of new research technologies and methods， significant progress has been achieved in the application of omics technologies in osteoarthritis research. Omics technologies， with their high-throughput， dynamic， and comprehensive features， provide a new technical platform for identifying biomarkers with diagnostic potential， objectifying the syndrome differentiation and treatment in TCM， and developing precise targeted therapies with TCM prescriptions. This study conducted searches in the China National Knowledge Infrastructure （CNKI） and PubMed databases， with keywords such as "osteoarthritis"，"osteoarthritis （oa）"，and "genomics" for retrieval. It classified and analyzed publications based on their specific contents to elaborate on the recent application of omics technologies in osteoarthritis research and to summarize the research progress in TCM for the prevention and treatment of osteoarthritis. This review aims to provide a basis for the diagnostic research on osteoarthritis and to offer new ideas and directions for expanding the research on TCM in preventing and treating osteoarthritis.

Objective:This study investigated the expression level of phosphatidylserine-specific phospholipase A1(PLA1A)in colorectal can-cer(CRC)and analyzed its correlations with clinicopathological features,prognosis,and immune infiltration.Methods:The expression level of PLA1A in CRC was screened,and the influence of this expression level on patient prognosis was analyzed using bioinformatics methods.A cohort of 192 patients diagnosed with CRC at Shanxi Province Cancer Hospital from January to December 2020 were selected.The PLA1A ex-pression level in those with CRC was determined using immunohistochemistry(IHC)and real-time quantitative reverse transcription PCR(RT-qPCR).The relationship between PLA1A level and the clinicopathological features of the patients with CRC was analyzed using the chi-square test.The expression levels of immune cell markers CD4 and CD8 as well as immunosuppressive checkpoints PD-1,TIM-3,and CTLA-4 in CRC were detected via IHC,and their correlations with PLA1A level were analyzed using the chi-square test.Results:The results of bioinformatics analysis showed that the expression level of PLA1A in CRC tissue was higher than paracancerous tissue,which correlated with overall surviv-al(OS)(P<0.05).The IHC and RT-qPCR results showed that PLA1A expression level was significantly upregulated in CRC tissiue(P<0.05).High PLA1A level was closely associated with the TNM stage,degree of differentiation,and lymph node metastasis(P<0.05).The IHC results demonstrated that PLA1A positively correlated with the infiltrating CD8+T cell level(P<0.05).In addition,the elevated PLA1A levels upregu-lated the expressions of immunosuppressive checkpoints PD-1,TIM-3,and CTLA-4(P<0.05).Conclusions:PLA1A is highly expressed in CRC,which is closely related to immune infiltrating cells and immunosuppressive checkpoints,suggesting that PLA1A plays an important role in immune infiltration in CRC,a finding that provides guidance in the treatment of CRC.

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.