biostudies-literatureMohsin MScience and Enginnering Research Board, IndiaIndian Council of Medical Research11963https://www.ebi.ac.uk/biostudies/studies/S-EPMC9279366biostudies-literatureUnknown12(1)Sepsis 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 (DEGScientific reportsIntegrated transcriptomic and regulatory network analyses uncovers the role of let-7b-5p, SPIB, and HLA-DPB1 in sepsis.PMC9279366CRG/2018/004081BMI/11(89)/2020Kaprwan NRahmani AHAlsahli MAAlmatroodi SADev KDohare RMohsin MSyed MAJha RSingh PAlrumaihi FVerma AKKhan SfalseIntegrated transcriptomic and regulatory network analyses uncovers the role of let-7b-5p, SPIB, and HLA-DPB1 in sepsis.Sepsis 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 (DEG2022-01-01T00:00:00Z2022 Jul2026-05-09T18:07:55.508Z2022-07-19T13:35:32.356ZS-EPMC92793663583141110.1038/s41598-022-16183-6