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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Inflammation
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1445858

IL7R, GZMA and CD8A serve as potential molecular biomarkers for sepsis based on bioinformatics analysis

Provisionally accepted
Jin Li Jin Li 1*Bin Yu Bin Yu 1Shimin Dong Shimin Dong 2LANGTAO WANG LANGTAO WANG 1JIE SU JIE SU 1
  • 1 Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
  • 2 Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China

The final, formatted version of the article will be published soon.

    Purpose: Sepsis is an unusual systemic reaction to what is sometimes an otherwise ordinary infection, and it probably represents a pattern of response by the immune system to injury. However, the relationship between biomarkers and sepsis remains unclear. This study aimed to find potential molecular biomarkers, which could do some help to patients with sepsis.The sepsis dataset GSE28750, GSE57065 was downloaded from the GEO database, and ten patients with or without sepsis from our hospital were admitted for RNA-seq and the differentially expressed genes (DEGs) were screened. The Metascape database was used for functional enrichment analysis and was used to found the differential gene list. Protein-protein interaction network was used and further analyzed by using Cytoscape and STRING. Logistic regression and Correlation analysis were used to find the potential molecular biomarkers.Results: Taking the intersection of the three datasets yielded 287 differential genes.The enrichment results included Neutrophil degranulation, leukocyte activation, immune effectors process, positive regulation of immune response, regulation of leukocyte activation. The top 10 key genes of PPI connectivity were screened using cytoHubba plugin, which were KLRK1, KLRB1, IL7R, GZMA, CD27, PRF1, CD8A, CD2, IL2RB, and GZMB. All of the hub genes are higher expressed in health group of different databases. Logistic regression showed that IL7R, GZMA and CD8A proteins were analyzed and all of them were statistically significant. Correlation analysis showed that there was a statistically significant correlation between IL7R, GZMA and CD8A.Conclusion: KLRK1, KLRB1, IL7R, GZMA, CD27, PRF1, CD8A, CD2, IL2RB, GZMB are key genes in sepsis, which associated with the development of sepsis.However, IL7R, GZMA and CD8A may serve as the attractively potential molecular biomarkers for sepsis.

    Keywords: bioinformatics analysis, CD8A , emergency, GZMA, IL7R, sepsis Abbreviations ： GEO, Gene Expression Omnibus, DEGs, differentially expressed genes, PPI, protein-protein interaction, SIRS, systemic inflammatory response syndrome, SOFA, sequential organ failure assessment, GO, gene ontology

    Received: 14 Jun 2024; Accepted: 30 Oct 2024.

    Copyright: © 2024 Li, Yu, Dong, WANG and SU. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jin Li, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.