Author:
Mohsin Mohd,Singh Prithvi,Khan Salman,Verma Amit Kumar,Jha Rishabh,Alsahli Mohammed A.,Rahmani Arshad Husain,Almatroodi Saleh A.,Alrumaihi Faris,Kaprwan Nisha,Dev Kapil,Dohare Ravins,Syed Mansoor Ali
Abstract
AbstractSepsis has affected millions of populations of all age groups, locations, and sexes worldwide. Immune systems, either innate or adaptive are dysregulated due to the infection. Various biomarkers are present to date, still sepsis is a primary cause of mortality. Globally, post-operative body infections can cause sepsis and septic shock in ICU. Abnormal antigen presentation to T-cells leads to a dysregulated immune system. miRNAs are sparkly evolved as biomarkers due to their high sensitivity and efficiency. In this work, we analyzed high-throughput mRNA data collected from Gene Expression Omnibus (GEO) and linked it to significant miRNAs and TFs using a network-based approach. Protein–protein interaction (PPI) network was constructed using sepsis-specific differentially expressed genes (DEGs) followed by enrichment analyses and hub module detection. Sepsis-linked decrease transcription of the classical HLA gene such as HLA-DPB1 and its interplay with miR-let-7b-5p and transcription factor SPIB was observed. This study helped to provide innovative targets for sepsis.
Funder
Science and Enginnering Research Board, India
Indian Council of Medical Research
Publisher
Springer Science and Business Media LLC
Cited by
9 articles.
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