目的   免疫球蛋白A肾病（IgAN）与炎症性肠病（IBD）的相互作用机制尚未阐明。本研究旨在解析IBD与IgAN共病的关键特征基因及核心信号通路，以揭示肠－肾轴的分子调控网络。方法   于GEO数据库获取IBD（GSE75214）和IgAN（GSE93798）基因表达谱，筛选差异表达基因（DEGs）。通过蛋白互作网络（PPI）和拓扑算法（MCC、MNC、Degree、EPC等）识别核心特征基因，并结合公共数据库（CTD、DISEASES和GeneCards）和单细胞转录组测序（GSE171314）进行验证。通过Nephroseq数据库验证基因表达与临床表型的相关性。结果   共筛选出17个IBD-IgAN共病DEGs，PPI网络分析等确定以FOS、EGR1、CXCL2和JUNB为核心特征基因。功能富集分析显示白细胞介素-17（IL-17）信号通路显著激活。单细胞测序验证FOS、EGR1、CXCL2和JUNB基因在IgAN特异性高表达，并通过Nephroseq数据库验证其与尿蛋白和估算的肾小球滤过率下降（eGFR）显著相关。结论  本研究揭示IBD与IgAN共享IL-17通路异常激活及FOS、EGR1、CXCL2和JUNB的基因网络，为开发基于肠－肾轴调控的靶向治疗策略提供理论依据。

       Objective  The complex interplay between immunoglobulin A nephropathy（IgAN）and inflammatory bowel disease（IBD）remains poorly understood．This  study  aimed to identify  key  cross-talk  genes  and  pivotal  signaling pathways shared between IBD and IgAN，thereby elucidating the molecular regulatory network underlying the gut-kidney axis．Methods  Transcriptomic datasets for IBD（GSE75214）and IgAN（GSE93798）were retrieved from the GEO database．Differentially expressed genes（DEGs）were screened，and shared DEGs were intersected．Protein-protein interaction（PPI）networks were constructed using STRING and Cytoscape，with topological algorithms applied to identify hub genes．Gene expression profiles were validated through（CTD，DISEASES and GeneCards）and single-cell RNA sequencing（GSE171314）and the Nephroseq database，focusing on clinical correlations with proteinuria and estimated glomerular filtration rate（eGFR）．Results  Seventeen shared DEGs were identified between IBD and IgAN．PPI network analysis revealed FOS，EGR1，CXCL2 and JUNB as core hub genes．Functional enrichment analysis demonstrated significant activation of the interleukin-17（IL-17）signaling pathway．Single-cell sequencing confirmed the specific upregulation of these genes in renal tubular epithelial cells of IgAN patients，which was further validated to correlate with proteinuria and eGFR decline．Conclusions  IBD and  IgAN share aberrant activation of the IL-17 pathway and a co-regulatory gene network involving FOS，EGR1，CXCL2 and JUNB，providing a theoretical foundation for developing therapeutic strategies centered on the gut-kidney axis．

目的 探究老年脑梗死患者抑郁与共病之间的相关性。方法 选择2021年9月—2023年7月于开封市第五人民医院接受治疗的80例老年脑梗死康复期患者,均使用老年抑郁量表（GDS）对其进行评测,按照评测结果将患者区分为无抑郁组（n=39,GDS≤10分）和抑郁组（n=41,GDS>10分）,并按照受试者是否存在共病区分为不同亚组（如并消化系统疾患、并发循环系统疾患等）,对比不同亚组患者占比差异,并采用Pearson相关性分析的方式,分析入组80例老年脑梗死患者GDS评分与其Charlson共病指数（CCI）评分的相关性。结果 80例患者中抑郁占比为51.25%,对比显示共病循环系统、内分泌系统以及运动系统疾病的老年脑梗死患者抑郁发生率明显更高（P<0.05）;Pearson相关性分析显示老年脑梗死患者GDS评分与其CCI评分呈正相关（r=0.180,P<0.001）。结论 老年脑梗死患者抑郁发生率较高,对并发循环系统疾病、内分泌系统疾病、运动系统疾病的老年脑梗死患者应予以更多关注,预防抑郁的发生。

Objective To explore the correlation between depression and comorbidity in elderly patients with cerebral infarction．Methods A total of 80 elderly patients treated from September 2021 to July 2023 were selected．The patients were evaluated using the Geriatric Depression Scale（GDS）,patients were divided into the non-depression group（n=39,GDS≤10 points）and the depression group（n=41,GDS>10 points）,and they were divided into different subgroups（such as concurrent digestive disorders,concurrent circulatory disorders,etc.）．Comparing the differences in patient proportions in different subgroups,and the correlation between the GDS score and its Charlson comorbidity index（CCI）score in 80 elderly patients with cerebral infarction was analyzed with Pearson correlation analysis．Results The proportion of depression in 80 patients was 51.25%,showing a significantly higher incidence of depression in elderly patients with a comorbid circulatory system,endocrine system and motor system disease（P<0.05）;Pearson correlation analysis showed that GDS score in elderly patients with a cerebral infarction was positively correlated with their CCI score（r=0.180,P<0.001）．Conclusions The incidence of depression in elderly patients with cerebral infarction is relatively high,and more attention should be paid to elderly patients with concurrent circulatory system diseases,endocrine system diseases and motor system diseases to prevent the occurrence of depression．