Algorithmic systems based on artificial intelligence(AI)and machine learning(ML)have undergone rapid advancement in recent years, demonstrating extensive application across diverse ophthalmic disorders. Owing to the public availability of multiple global databases, significant progress has been achieved in the training and development of AI-integrated algorithms utilizing multimodal ophthalmic imaging modalities, including fundus photography and optical coherence tomography(OCT). These advancements have established a foundation for precision medicine and efficient healthcare delivery. The diagnosis of macular diseases relies on the identification of subtle alterations in tissue anatomy, where AI demonstrated exceptional performance in detecting intraocular biomarkers and evaluating anatomical changes during disease progression, with particularly prominent utility in the field of macular pathologies. This article provides a comprehensive review of the current applications of AI in macular diseases, aiming to synthesize existing research achievements and current challenges, while proposing visionary prospects for the broader implementation of AI in ophthalmology and even systemic medicine in the future.

ObjectiveTo obtain the gene sequences of major histocompatibility complex (MHC ) Ⅱgenes of Wuzhishan pigs, analyze their genetic information, and explore the biological functions of their MHC system. MethodsSpleen samples were collected from 3 adult male Wuzhishan pigs. Primers were designed according to MHCⅡ gene sequences, and the coding sequences of Wuzhishan pig MHCⅡ genes were amplified by RT-PCR. Sanger sequencing was performed to determine the full-length sequences. Bioinformatics tools were employed to analyze the physicochemical properties, phylogenetic relationships, conserved motifs, structural domains, chromosomal localization, and syntenic relationships of these genes. ResultsEight MHCⅡ genes were identified in Wuzhishan pigs, designated as SLA-DRA, SLA-DQA, SLA-DQB, SLA-DRB, SLA-DOB, SLA-DMB, SLA-DMA and SLA-DOA. The full-length sequences of these genes were determined by Sanger sequencing and subsequently deposited in GenBank under accession numbers PQ182796, PQ182797, PQ182798, PQ182799, PQ182800, PQ182801, PQ182802, and PQ164779. Phylogenetic analysis showed that the six MHCⅡ genes of Wuzhishan pigs clustered separately from their counterparts in Duroc, Meishan, Large White, and Bama pigs, indicating distinct evolutionary trajectories. Bioinformatics analysis demonstrated that most MHC Ⅱ proteins were hydrophobic, with molecular weights ranging from 27 700 to 30 000 Da. Genes within the same subregion shared conserved motifs. Specifically, four MHCⅡ proteins encoded by SLA-DQB, SLA-DRB, SLA-DOB, and SLA-DMB contained the MHCⅡβ conserved domain, while those encoded by the genes SLA-DRA, SLA-DQA, SLA-DMA, and SLA-DOA contained the MHCⅡα conserved domain. The eight MHCⅡ genes were scattered along the long arm of chromosome 7 in the Wuzhishan pigs, exhibiting syntenic relationships with three human genes and five Duroc pig genes. ConclusionThe MHCⅡ genes of Wuzhishan pigs may possess a unique evolutionary origin.

ObjectiveTo obtain the gene sequences of major histocompatibility complex (MHC ) Ⅱgenes of Wuzhishan pigs, analyze their genetic information, and explore the biological functions of their MHC system. MethodsSpleen samples were collected from 3 adult male Wuzhishan pigs. Primers were designed according to MHCⅡ gene sequences, and the coding sequences of Wuzhishan pig MHCⅡ genes were amplified by RT-PCR. Sanger sequencing was performed to determine the full-length sequences. Bioinformatics tools were employed to analyze the physicochemical properties, phylogenetic relationships, conserved motifs, structural domains, chromosomal localization, and syntenic relationships of these genes. ResultsEight MHCⅡ genes were identified in Wuzhishan pigs, designated as SLA-DRA, SLA-DQA, SLA-DQB, SLA-DRB, SLA-DOB, SLA-DMB, SLA-DMA and SLA-DOA. The full-length sequences of these genes were determined by Sanger sequencing and subsequently deposited in GenBank under accession numbers PQ182796, PQ182797, PQ182798, PQ182799, PQ182800, PQ182801, PQ182802, and PQ164779. Phylogenetic analysis showed that the six MHCⅡ genes of Wuzhishan pigs clustered separately from their counterparts in Duroc, Meishan, Large White, and Bama pigs, indicating distinct evolutionary trajectories. Bioinformatics analysis demonstrated that most MHC Ⅱ proteins were hydrophobic, with molecular weights ranging from 27 700 to 30 000 Da. Genes within the same subregion shared conserved motifs. Specifically, four MHCⅡ proteins encoded by SLA-DQB, SLA-DRB, SLA-DOB, and SLA-DMB contained the MHCⅡβ conserved domain, while those encoded by the genes SLA-DRA, SLA-DQA, SLA-DMA, and SLA-DOA contained the MHCⅡα conserved domain. The eight MHCⅡ genes were scattered along the long arm of chromosome 7 in the Wuzhishan pigs, exhibiting syntenic relationships with three human genes and five Duroc pig genes. ConclusionThe MHCⅡ genes of Wuzhishan pigs may possess a unique evolutionary origin.

OBJECTIVE To construct the drug utilization evaluation criteria for Dezocine injection， so as to provide reference for the rational drug use in medical institutions. METHODS On the basis of evidence methodology， relevant guidelines/expert consensus， systematic reviews/meta-analysis were consulted； the evaluation criteria framework for Dezocine injection was established after screening evidence. Delphi method was employed， whereby 28 clinicians and clinical pharmacists from secondary and above-level medical institutions across eight provinces， including Tianjin， Beijing and Shandong， were selected to participate in two rounds of questionnaire surveys. The final indicators were determined based on the experts’ enthusiasm coefficient， authority coefficient， and degree of coordination. RESULTS The effective recovery rate of questionnaire was 100% in the first round and 92.86% in the second round； expert authority coefficient was 0.82 in the first round and 0.81 in the second round； the coordination degree of experts in the first round was 0.29， and in the second round was 0.31 （P＜0.001）. Drug utilization evaluation standard system for Dezocine injection was formed finally， including three dimensions of medication indications， medication process and medication results， with a total of 11 first-level indicators （such as indications， usage and dosage） and 33 second-level indicators （such as labor analgesia and the management of severe pain following major or moderate surgeries combined with other analgesic drugs）. The average importance scores for each indicator ranged from 4.08 to 5.00 points， with an overall average score of 4.61 points and coefficient of variation ranging from 0 to 0.19. CONCLUSIONS The drug utilization evaluation criteria for Dezocine injection established based on evidence-based methodology and Delphi method is authoritative and scientific， which provides a reference for subsequent evaluation of the rationality of clinical medication.

Obesity is a significant risk factor for cancer and is associated with breast cancer metastasis. Nevertheless, the mechanism by which alterations in systemic metabolism affect tumor microenvironment (TME) and consequently influence tumor metastasis remains inadequately understood. Herein, we found that perturbations in circulating metabolites induced by obesity promote metastasis-like phenotypes in breast cancer. Oleoylcarnitine (OLCarn) concentrations were elevated in the serum of obese mice and humans. Administration of exogenous OLCarn induces metastasis-like characteristics in breast cancer cells. Mechanistically, OLCarn directly interacts with the Arg176 site of adenylate cyclase 10 (ADCY10), leading to the activation of ADCY10 and enhancement of cAMP production. Mutations at Arg176 prevent OLCarn from binding to ADCY10, disrupting the ADCY10-mediated activation of cyclic adenosine monophosphate (cAMP) signaling pathway. This activation promotes transcription factor 4 (TCF4)-dependent kinesin family member C1 (KIFC1) transcription, thereby driving breast cancer metastasis. Conversely, the neutralization of both ADCY10 and KIFC1 through knockdown or pharmacological inhibition abrogates the oncogenic effects mediated by OLCarn. Hence, obesity-induced systemic environmental changes lead to the aberrant accumulation of OLCarn within the TME, making it a potential therapeutic target and biomarker for breast cancer.

Objective To evaluate the application of an online merge offline mode(OMO)based on an advanced intelligent virtual simulation experimental platform in clinical skills teaching.Methods Two classes were random-ly selected from the clinical medicine major of Hubei Medical University in 2021 and divided into a control group and an experimental group.The control group adopted the traditional lecture-based learning(LBL)teaching mode,while the experimental group adopted the advanced intelligent virtual simulation experimental platform OMO teaching mode for pilot teaching and effect evaluation.Results After implementing the OMO teaching mode of the advanced intelligent virtual simulation experimental platform,the clinical skill operation level,learning efficiency,and teaching effect satisfaction of the experimental group students were higher than those of the control group(P＜0.05).Conclusions Based on the advanced intelligent virtual simulation experimental platform,the OMO teaching mode deeply integrates information technology and clinical skills training,effectively enhances the practical ability and learning efficiency of medical students,and provides a scalable innovative path for the digital transformation of medical education.

Objective To explore the role of meibomian gland massage combined with the ROY adaptation model in nursing of xerophthalmia.Methods The medical records of 286 patients with xerophthalmia admitted from March 2022 to October 2023 were retrospectively included.The patients were divided into conventional group(141 cases)and combined group(145 cases)according to dif-ferent intervention methods.Both groups received optimized pulsed light therapy.The conventional group received meibomian gland massage and routine nursing for xerophthalmia,while the combined group received additional nursing based on the ROY adaptation model.The improvement effects on subjective symptoms(dryness,foreign body sensation,fatigue,photophobia,and burning sensation)as well as psychological status[Symptom Checklist-90(SCL-90)],self-efficacy[General Self-Effica-cy Scale(GSES)],ocular surface status[Ocular Surface Disease Index(OSDI)],and quality of life[the scale of quality of life for diseases with visual impairment(SQOL-DVI)]before and after inter-vention were compared between the two groups.Results The disappearance time of dryness,foreign body sensation,fatigue,photophobia,and burning sensation were shorter in the combined group than those in the conventional group(P＜0.05).After the intervention,the scores of all dimensions and the total score of SCL-90 decreased in both groups compared with those before the intervention,and the scores in the combined group were lower than those in the conventional group(P＜0.05).After the intervention,the scores for facing problems,coping with problems,and the total score increased in both groups compared with those before the intervention,and the scores in the combined group were higher than those in the conventional group(P＜0.05).After the intervention,the scores for ocular symp-toms,visual function,environmental triggers factors,and the total score decreased in both groups compared with those before the intervention,and the scores in the combined group were lower than those in the conventional group(P＜0.05).After the intervention,the scores for general health status,symptoms and visual function,social activities,mental health,and the total score increased in both groups compared with those before the intervention,and the scores in the combined group were higher than those in the conventional group(P＜0.05).Conclusion Meibomian gland mas-sage combined with nursing based on the ROY adaptation model can improve dry eye symptoms,ad-just the ocular surface status,enhance self-efficacy,and improve the quality of life of patients.

Familial acute necrotizing encephalopathy，also known as acute necrotizing encephalopathy type 1（ANE1），is a rapidly progressing rare encephalopathy with high morbidity and mortality rates.Although the etiology and pathogenesis remain unclear，mutations in genes such as RANBP2 and CPTⅡ are known to be related to its occurrence and development.Additionally，pathogen infections and cytokine storms are also considered potential influencing factors.Compared to isolated acute necrotizing encephalopathy，the clinical manifestations of ANE1 are more diverse，making diagnosis and treatment more complex.Currently，there are no specific therapeutic strategies for ANE1，and the effectiveness of immunomodulatory therapy remains controversial.Mitochondrial cocktail therapy and interleukin inhibitors have shown some therapeutic potential.The prognosis for ANE1 is generally poor，with survivors likely to experience severe neurological deficits and have a risk of recurrence.Early diagnosis and treatment are crucial for improving prognosis.

In recent years, as researchers delve deeply into the cell death mechanisms, ferroptosis, as a new iron-dependent cell death mode, has gradually become a research hotspot.It is mainly triggered by iron overload and lipid peroxidation in organisms.Sepsis-induced liver injury is an important pathophysiological process in the systemic inflammatory response caused by infection, which is closely related to various cell death modes.This review aims to explore the research progress on ferroptosis in sepsis-induced liver injury, including the mechanism of ferroptosis occurrence in sepsis-induced liver injury, its relationship with sepsis-induced liver injury, and possible therapeutic strategies for ferroptosis.

Background and Purpose:The early prediction of local tumor progression-free survival(LTPFS)after radiofrequency ablation(RFA)for colorectal cancer(CRC)lung metastases has significant clinical importance.The application of radiomics in the prediction of tumor prognosis has been explored.This study aimed to construct a radiomics-based nomogram for predicting LTPFS after RFA in CRC patients with lung metastases.Methods:This study retrospectively analyzed 172 CRC patients with 401 lung metastases admitted to Department of Interventional Radiology,Fudan University Shanghai Cancer Center from August 2016 to January 2019.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:2402291-24).After augmentation of pre-ablation and immediate post-ablation computed tomography(CT)images,the target metastases and ablation regions were segmented manually to extract the radiomic features.Maximum relevance and minimum redundancy algorithm(MRMRA)and least absolute shrinkage and selection operator(LASSO)regression models were applied for feature selection.The clinical model,the radiomics model,and the fusion model were constructed based on the selected radiomic features and clinical variables screened by the multivariate analysis.The Harrell concordance index(C-index)and area under receiver operating characteristic(ROC)curves(AUC)were calculated to evaluate the prediction performance.Finally,the corresponding nomogram of the best model was drawn.Results:Among all the lung metastases,102(25.4%)had final recurrence,and 299(74.6%)had complete response(CR).The median follow-up time was 21 months(95%CI:19.466-22.534),and the LTPFS rates at 1,2,and 3 years after RFA were 76.5%(95%CI:72.0-80.4),72.1%(95%CI:66.6-76.9)and 69.9%(95%CI:64.0-75.1).In both the training and test dataset,the fusion model based on the final 12 radiomic features through the LASSO regression and 4 clinical variables screened by multivariate analysis achieved the highest AUC values for LTPFS,with C-index values of 0.890(95%CI:0.854-0.927)and 0.843(95%CI:0.768-0.916),respectively.Conclusion:The fusion model based on radiomic features and clinical variables is feasible for predicting LTPFS after RFA of CRC patients with lung metastases,whose performance is superior to the single radiomic and clinical model.At the same time,the nomogram of the fusion model can intuitively predict the prognosis of CRC patients with lung metastases after RFA,thus assisting clinicians in developing individualized follow-up review plans for patients and adjusting treatment strategies flexibly.