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Integrated Transcriptomic Analysis of S100A8/A9 as a Key Biomarker and Therapeutic Target in Sepsis Pathogenesis and
Kirtan Dave1,2, Alejandro Pazos-García3, Natia Tamarashvili4
1Parul Institute of Applied Sciences, Department of Life Sciences, Parul University, Vadodara 391760, India.
International Journal of Molecular Sciences
|November 27, 2025
Summary
Sepsis involves immune overreaction driven by S100A8/A9 proteins. Integrating single-cell and bulk RNA sequencing reveals S100A8/A9
Area of Science:
- Molecular biology
- Immunology
- Computational biology
Background:
- Sepsis is a life-threatening condition characterized by dysregulated immune responses and multi-organ failure.
- S100A8/A9 proteins act as damage-associated molecular patterns (DAMPs), exacerbating inflammation via Toll-like receptor 4 (TLR4) and RAGE pathways.
- Elevated S100A8/A9 levels are linked to sepsis severity, indicating potential as biomarkers and therapeutic targets.
Purpose of the Study:
- To investigate the role of S100A8/A9 in sepsis pathophysiology using integrated transcriptomic approaches.
- To identify potential therapeutic targets and drug repurposing strategies for sepsis treatment.
Main Methods:
- Integration of single-cell RNA sequencing (scRNA-seq) for cell-type-specific immune profiling and bulk RNA sequencing (RNA-seq) for global transcriptomic analysis.
- Identification of eight key protein targets (S100A8, S100A9, S100A6, NAMPT, FTH1, B2M, KLF6, SRGN) from transcriptomic data.
- Application of AI models (PLAPT) for predicting drug-target interactions and subsequent validation using molecular docking and dynamics simulations.
Main Results:
- The study elucidated the S100A8/A9-driven inflammatory cascade and its impact on immune cell interactions in sepsis.
- Integration of scRNA-seq and RNA-seq provided high-resolution insights into cellular heterogeneity and inflammatory pathways.
- AI-driven drug repurposing identified potential therapeutic candidates by predicting interactions between identified protein targets and approved drugs.
Conclusions:
- Combined transcriptomic analyses are powerful tools for understanding sepsis complexity and identifying therapeutic strategies.
- S100A8/A9 proteins are critical mediators in sepsis, serving as potential diagnostic and prognostic biomarkers.
- This study provides a foundation for developing precision medicine approaches in sepsis management through drug repurposing.

