Arun Kumar ST

Mr. Arun Kumar ST

Yenepoya Research Center, Yenepoya University
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 July 2023 in Computers in Biology and Medicine
Verified
Journal Article
Closed access
ASArun Kumar ST
Arun Kumar ST
SAShruthi A
Shruthi A
Rex Devasahayam Arokia BalayaRex Devasahayam Arokia Balaya
Rex Devasahayam Arokia Balaya
SSSreelakshmi Pathappillil Soman
Sreelakshmi Pathappillil Soman
MNMahammad Nisar
Mahammad Nisar
RRRajesh Raju
Rajesh Raju

24 February 2022 in Molecules
Verified
Journal Article
Open access
PDF file
SYSoujanya D Yelamanchi
Soujanya D Yelamanchi
ASArun Kumar ST
Arun Kumar ST
AMArchita Mishra
Archita Mishra
TPT. S. Keshava Prasad
T. S. Keshava Prasad
ASAvadhesha Surolia
Avadhesha Surolia
Mycobacterium tuberculosis has been infecting millions of people worldwide over the years, causing tuberculosis. Drugs targeting distinct cellular mechanisms including synthesis of the cell wall, lipids, proteins, and nucleic acids in Mtb are currently being used for the treatment of TB. Although extensive research is being carried out at the molecular level in the infected host and pathogen, the identification of suitable drug targets and drugs remains under explored. Pranlukast, an allosteric inhibitor of MtArgJ (Mtb ornithine acetyltransferase) has previously been shown to inhibit the survival and virulence of Mtb. The main objective of this study was to identify the altered metabolic pathways and biological processes associated with the differentially expressed metabolites by PRK in Mtb. Here in this study, metabolomics was carried out using an LC-MS/MS-based approach. Collectively, 50 metabolites were identified to be differentially expressed with a significant p-value through a global metabolomic approach using a high-resolution mass spectrometer. Metabolites downstream of argJ were downregulated in the arginine biosynthetic pathway following pranlukast treatment. Predicted human protein interactors of pranlukast-treated Mtb metabolome were identified in association with autophagy, inflammation, DNA repair, and other immune-related processes. Further metabolites including N-acetylglutamate, argininosuccinate, L-arginine, succinate, ergothioneine, and L-phenylalanine were validated by multiple reaction monitoring, a targeted mass spectrometry-based metabolomic approach. This study facilitates the understanding of pranlukast-mediated metabolic changes in Mtb and holds the potential to identify novel therapeutic approaches using metabolic pathways in Mtb.