Screening of Relevant Genes and Signalling Pathways Affecting Adult Urosepsis: A Bioinformatic Analysis.

IF 0.9 4区医学 Q3 UROLOGY & NEPHROLOGY

Urology Journal Pub Date : 2025-10-08 DOI:10.22037/uj.v22i.7933

Xu Xi Shi, Lu Rong Rong, Huang Zhong Wei

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Abstract

Purpose: The cellular and molecular pathophysiology of urosepsis, a condition caused by a urinary tract infection spreading to the bloodstream, involves complex epigenetic behavior. The objective of this study was to identify relevant genes and signaling pathways in adult urosepsis through a bioinformatic analysis of differentially expressed genes (DEGs).

Materials and methods: In this in silico study, the GSE69528 dataset, containing 138 total RNA blood samples from patients with sepsis and uninfected controls, was obtained from the Gene Expression Omnibus (GEO) database. Microarray data were analyzed using GEO2R tools and R software. DEGs were identified using a fold change (FC) cutoff of > 1.5 or < 0.67 and a significance level of p < 0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to determine the enriched pathways of DEGs before constructing protein-protein interaction (PPI) networks with STRING and Cytoscape.

Results: A total of 108 DEGs were identified, comprising 67 upregulated and 41 downregulated genes. GO and KEGG analyses revealed that these DEGs were significantly enriched in pathways such as the complement and coagulation cascade, neutrophil degranulation, negative regulation of interferon-gamma response, T-cell activation, and granulocyte differentiation. The PPI network analysis identified 67 nodes with 110 interactions, from which CEACAM8, MPO, and RETN were identified as hub genes. Overexpression of CEACAM8 and MPO and suppression of RETN may be associated with a better disease prognosis.

Conclusion: The identified hub genes-CEACAM8, MPO, and RETN-are predicted to be significant biomarkers in the prognosis and progression of sepsis. These genes could be targeted for the discovery of new therapeutic drugs for treating and managing urosepsis.

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筛选相关基因和信号通路影响成人尿脓毒症：生物信息学分析。

目的：尿脓毒症是一种由尿路感染扩散到血流引起的疾病，在其细胞和分子病理生理上具有复杂的表观遗传行为。本研究的目的是通过对差异表达基因（DEGs）的生物信息学分析，确定成人尿脓毒症的相关基因和信号通路。材料和方法：在这项计算机研究中，从Gene Expression Omnibus （GEO）数据库中获得GSE69528数据集，其中包含来自败血症患者和未感染对照组的138份总RNA血液样本。采用GEO2R工具和R软件对微阵列数据进行分析。使用折叠变化（FC）截止值为bbb1.5或< 0.67，显著性水平p < 0.05来鉴定deg。在与STRING和Cytoscape构建蛋白-蛋白相互作用（PPI）网络之前，使用基因本体（GO）和京都基因与基因组百科全书（KEGG）分析确定了DEGs的富集途径。结果：共鉴定出108个基因，其中上调基因67个，下调基因41个。GO和KEGG分析显示，这些DEGs在补体和凝血级联、中性粒细胞脱粒、干扰素γ反应的负调控、t细胞活化和粒细胞分化等途径中显著富集。PPI网络分析鉴定出67个节点存在110个相互作用，其中CEACAM8、MPO和RETN被鉴定为枢纽基因。CEACAM8和MPO的过表达以及RETN的抑制可能与较好的疾病预后有关。结论：中心基因ceacam8、MPO和retn有望成为脓毒症预后和进展的重要生物标志物。这些基因可能成为发现治疗和控制尿脓毒症的新治疗药物的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Urology Journal UROLOGY & NEPHROLOGY-

CiteScore

2.60

自引率

6.70%

发文量

审稿时长

6-12 weeks

期刊介绍： As the official journal of the Urology and Nephrology Research Center (UNRC) and the Iranian Urological Association (IUA), Urology Journal is a comprehensive digest of useful information on modern urology. Emphasis is on practical information that reflects the latest diagnostic and treatment techniques. Our objectives are to provide an exceptional source of current and clinically relevant research in the discipline of urology, to reflect the scientific work and progress of our colleagues, and to present the articles in a logical, timely, and concise format that meets the diverse needs of today’s urologist. Urology Journal publishes manuscripts on urology and kidney transplantation, all of which undergo extensive peer review by recognized authorities in the field prior to their acceptance for publication. Accordingly, original articles, case reports, and letters to editor are encouraged.