Profile
Our research team is dedicated to the rapid identification of modifiable mortality factors in neonatal sepsis, a critical and often fatal condition stemming from a dysregulated immune response to infection. Our work centers on understanding both the microbial and host contributions to the lethality of sepsis, which involves two primary research arms: Pathogen Investigation: We aim to elucidate the genomic basis of pathogen virulence and antimicrobial resistance. By decoding the genetic factors that contribute to the severity and treatment resistance of infections, we can identify potential targets for therapeutic intervention. Host Response Analysis: We leverage advanced genomic technologies to analyze the host transcriptome, enabling us to stratify neonatal risk more accurately. This approach helps in predicting the severity of sepsis outcomes and opens up avenue for individualized treatment plans to enhance survival rates. Through these focused efforts, our goal is to pave the way for innovations in the treatment and prevention of neonatal sepsis, ultimately reducing its global mortality burden.
Current Focus Areas
To develop a prototype for the rapid identification of pathogens and antimicrobial resistance (AMR) in neonates suspected of sepsis. Following a demonstration of feasibility, our goal is to implement this solution in the Department of Neonatology at the All India Institute of Medical Sciences (AIIMS), Bhubaneswar.
Selected Publications
Ghosh P, Kumar A, Mohapatra D, Mohapatra SK. (2023) Transcriptional reprogramming under vancomycin pressure in Staphylococcus aureus. Indian J Exp Biology. 61:534
Ekhlak M, Kulkarni PP, Singh V, Chaurasia SN, Mohapatra SK, Chaurasia RN, Dash D. (2023) Necroptosis executioner MLKL plays pivotal roles in agonist-induced platelet prothrombotic responses and lytic cell death in a temporal order. Cell Death Differ. 30:1886-1899
Mukhopadhyay S, Sinha S, Mohapatra SK. Analysis of transcriptomic data sets supports the role of IL-6 in NETosis and immunothrombosis in severe COVID-19. (2021) BMC Genom Data. 22(1):49.
Tripathi H, Mukhopadhyay S, Mohapatra SK. Sepsis-associated pathways segregate cancer groups. (2020) BMC Cancer.;20(1):309.
Mukhopadhyay S, Thatoi PK, Pandey AD, Das BK, Ravindran B, Bhattacharjee S, Mohapatra SK. Transcriptomic meta-analysis reveals up-regulation of gene expression functional in osteoclast differentiation in human septic shock. PLoS One. 2017 Feb 15;12(2):e0171689.