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AFM negatively regulates the infiltration of monocytes to mediate sepsis-associated acute kidney injury

败血症 免疫系统 急性肾损伤 基因 基因表达 基因表达谱 医学 基因共表达网络 免疫学 生物 计算生物学 内科学 遗传学 基因本体论
作者
Caiyun Guo,Youling Fan,J. Cheng,Yingdong Deng,Xiangsheng Zhang,Yanna Chen,Huan Jing,Wenjun Li,Pei Liu,Jiaqi Xie,Wenjun Ning,Hongtao Chen,Jun Zhou
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:14 被引量:4
标识
DOI:10.3389/fimmu.2023.1049536
摘要

Background Sepsis is organ dysfunction due to the host’s deleterious response to infection, and the kidneys are one of the organs damaged in common sepsis. Sepsis-associated acute kidney injury (SA-AKI) increases the mortality in patients with sepsis. Although a substantial volume of research has improved the prevention and treatment of the disease, SA-SKI is still a significant clinical concern. Purpose Aimed to use weighted gene co-expression network analysis (WGCNA) and immunoinfiltration analysis to study SA-AKI-related diagnostic markers and potential therapeutic targets. Methods Immunoinfiltration analysis was performed on SA-AKI expression datasets from the Gene Expression Synthesis (GEO) database. A weighted gene co-expression network analysis (WGCNA) analysis was performed on immune invasion scores as trait data, and modules associated with immune cells of interest were identified as hub modules. Screening hub geneset in the hub module using protein-protein interaction (PPI) network analysis. The hub gene was identified as a target by intersecting with significantly different genes screened by differential expression analysis and validated using two external datasets. Finally, the correlation between the target gene, SA-AKI, and immune cells was verified experimentally. Results Green modules associated with monocytes were identified using WGCNA and immune infiltration analysis. Differential expression analysis and PPI network analysis identified two hub genes ( AFM and GSTA1 ). Further validation using additional AKI datasets GSE30718 and GSE44925 showed that AFM was significantly downregulated in AKI samples and correlated with the development of AKI. The correlation analysis of hub genes and immune cells showed that AFM was significantly associated with monocyte infiltration and hence, selected as a critical gene. In addition, Gene single-enrichment analysis (GSEA) and PPI analyses results showed that AFM was significantly related to the occurrence and development of SA-AKI. Conclusions AFM is inversely correlated with the recruitment of monocytes and the release of various inflammatory factors in the kidneys of AKI. AFM can be a potential biomarker and therapeutic target for monocyte infiltration in sepsis-related AKI.
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