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Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review

  • Asrar Rashid*
  • , Feras Al-Obeidat
  • , Hari Krishnan Kanthimathinathan
  • , Govind Benakatti
  • , Wael Hafez
  • , Raghu Ramaiah
  • , Joe Brierley
  • , Benjamin Hanisch
  • , Praveen Khilnani
  • , Christos Koutentis
  • , Berit S. Brusletto
  • , Mohammed Toufiq
  • , Zain Hussain
  • , Harish Vyas
  • , Zainab A. Malik
  • , Maike Schumacher
  • , Rayaz A. Malik
  • , Shriprasad Deshpande
  • , Nasir Quraishi
  • , Raziya Kadwa
  • Amrita Sarpal, M. Guftar Shaikh, Javed Sharief, Syed Ahmed Zaki, Rajesh Phatak, Akash Deep, Ahmed Al-Dubai, Amir Hussain
*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Sepsis continues to be recognized as a significant global health challenge across all ages and is characterized by a complex pathophysiology. In this scoping review, PRISMA-ScR guidelines were adhered to, and a transcriptomic methodology was adopted, with the protocol registered on the Open Science Framework. We hypothesized that gene expression analysis could provide a foundation for establishing a clinical research framework for sepsis. A comprehensive search of the PubMed database was conducted with a particular focus on original research and systematic reviews of transcriptomic sepsis studies published between 2012 and 2022. Both coding and non-coding gene expression studies have been included in this review. An effort was made to enhance the understanding of sepsis at the mRNA gene expression level by applying a systems biology approach through transcriptomic analysis. Seven crucial components related to sepsis research were addressed in this study: endotyping (n = 64), biomarker (n = 409), definition (n = 0), diagnosis (n = 1098), progression (n = 124), severity (n = 451), and benchmark (n = 62). These components were classified into two groups, with one focusing on Biomarkers and Endotypes and the other oriented towards clinical aspects. Our review of the selected studies revealed a compelling association between gene transcripts and clinical sepsis, reinforcing the proposed research framework. Nevertheless, challenges have arisen from the lack of consensus in the sepsis terminology employed in research studies and the absence of a comprehensive definition of sepsis. There is a gap in the alignment between the notion of sepsis as a clinical phenomenon and that of laboratory indicators. It is potentially responsible for the variable number of patients within each category. Ideally, future studies should incorporate a transcriptomic perspective. The integration of transcriptomic data with clinical endpoints holds significant potential for advancing sepsis research, facilitating a consensus-driven approach, and enabling the precision management of sepsis.

Original languageEnglish
Article number101419
JournalInformatics in Medicine Unlocked
Volume44
DOIs
StatePublished - Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 The Authors

Keywords

  • Biomark
  • Endotype
  • Omic
  • Sepsis
  • Sepsis definition
  • Sepsis progression
  • Sepsis severity
  • Transcriptomics

ASJC Scopus subject areas

  • Software
  • General Computer Science
  • Information Systems
  • Health Informatics
  • Computer Science Applications

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