TY - JOUR
T1 - Antimicrobial resistance heterogeneity among multidrug-resistant Gram-negative pathogens
T2 - Phenotypic, genotypic, and proteomic analysis
AU - Mehrotra, Tanshi
AU - Konar, Dipasri
AU - Pragasam, Agila Kumari
AU - Kumar, Shakti
AU - Jana, Pradipta
AU - Babele, Prabhakar
AU - Paul, Deepjyoti
AU - Purohit, Ayushi
AU - Tanwar, Subhash
AU - Bakshi, Susmita
AU - Das, Santanu
AU - Verma, Jyoti
AU - Talukdar, Daizee
AU - Narendrakumar, Lekshmi
AU - Kothidar, Akanksha
AU - Karmakar, Sonali Porey
AU - Chaudhuri, Susmita
AU - Pal, Sujoy
AU - Jain, Kajal
AU - Srikanth, Chittur V.
AU - Sankar, M. Jeeva
AU - Atmakuri, Krishnamohan
AU - Agarwal, Ramesh
AU - Gaind, Rajni
AU - Ballal, Mamatha
AU - Kammili, Nagamani
AU - Bhadra, Rupak K.
AU - Ramamurthy, Thandavarayan
AU - Nair, G. Balakrish
AU - Das, Bhabatosh
N1 - Funding Information:
ACKNOWLEDGMENTS. We acknowledge Prof. Pramod Garg for his critical reading of the manuscript and valuable suggestions. We acknowledge Dr. Anamika Gambir and Dr. Neha Bansal for critical support during the study period. B.D. acknowledges Translational Health Science and Technology Institute (Intramural 2021 to 2023) and Department of Biotechnology (DBT), Govt. of India (GOI), for financial support (Grant No. BT/PR38173/MED/97/474/2020). T.M. and A.P. receive research fellowships from the University Grants Commission and Department of Science and Technology, GOI, respectively. R.K.B. acknowledges Council of Scientific and Industrial Research Emeritus Scheme (No. 21(1100)/20/ EMR-II), GOI, for supporting his Lab. D.P. and L.N. receive MK Bhan fellowships from DBT, GOI.
Publisher Copyright:
Copyright © 2023 the Author(s). Published by PNAS.
PY - 2023/8/15
Y1 - 2023/8/15
N2 - Microbes evolve rapidly by modifying their genomes through mutations or through the horizontal acquisition of mobile genetic elements (MGEs) linked with fitness traits such as antimicrobial resistance (AMR), virulence, and metabolic functions. We conducted a multicentric study in India and collected different clinical samples for decoding the genome sequences of bacterial pathogens associated with sepsis, urinary tract infections, and respiratory infections to understand the functional potency associated with AMR and its dynamics. Genomic analysis identified several acquired AMR genes (ARGs) that have a pathogen-specific signature. We observed that blaCTX-M-15, blaCMY-42, blaNDM-5, and aadA(2) were prevalent in Escherichia coli, and blaTEM-1B, blaOXA-232, blaNDM-1, rmtB, and rmtC were dominant in Klebsiella pneumoniae. In contrast, Pseudomonas aeruginosa and Acinetobacter baumannii harbored blaVEB, blaVIM-2, aph(3'), strA/B, blaOXA-23, aph(3') variants, and amrA, respectively. Regardless of the type of ARG, the MGEs linked with ARGs were also pathogen-specific. The sequence type of these pathogens was identified as high-risk international clones, with only a few lineages being predominant and region-specific. Whole-cell proteome analysis of extensively drug-resistant K. pneumoniae, A. baumannii, E. coli, and P. aeruginosa strains revealed differential abundances of resistance-associated proteins in the presence and absence of different classes of antibiotics. The pathogen-specific resistance signatures and differential abundance of AMR-associated proteins identified in this study should add value to AMR diagnostics and the choice of appropriate drug combinations for successful antimicrobial therapy.
AB - Microbes evolve rapidly by modifying their genomes through mutations or through the horizontal acquisition of mobile genetic elements (MGEs) linked with fitness traits such as antimicrobial resistance (AMR), virulence, and metabolic functions. We conducted a multicentric study in India and collected different clinical samples for decoding the genome sequences of bacterial pathogens associated with sepsis, urinary tract infections, and respiratory infections to understand the functional potency associated with AMR and its dynamics. Genomic analysis identified several acquired AMR genes (ARGs) that have a pathogen-specific signature. We observed that blaCTX-M-15, blaCMY-42, blaNDM-5, and aadA(2) were prevalent in Escherichia coli, and blaTEM-1B, blaOXA-232, blaNDM-1, rmtB, and rmtC were dominant in Klebsiella pneumoniae. In contrast, Pseudomonas aeruginosa and Acinetobacter baumannii harbored blaVEB, blaVIM-2, aph(3'), strA/B, blaOXA-23, aph(3') variants, and amrA, respectively. Regardless of the type of ARG, the MGEs linked with ARGs were also pathogen-specific. The sequence type of these pathogens was identified as high-risk international clones, with only a few lineages being predominant and region-specific. Whole-cell proteome analysis of extensively drug-resistant K. pneumoniae, A. baumannii, E. coli, and P. aeruginosa strains revealed differential abundances of resistance-associated proteins in the presence and absence of different classes of antibiotics. The pathogen-specific resistance signatures and differential abundance of AMR-associated proteins identified in this study should add value to AMR diagnostics and the choice of appropriate drug combinations for successful antimicrobial therapy.
UR - https://www.scopus.com/pages/publications/85166784712
UR - https://www.scopus.com/inward/citedby.url?scp=85166784712&partnerID=8YFLogxK
U2 - 10.1073/pnas.2305465120
DO - 10.1073/pnas.2305465120
M3 - Article
C2 - 37549252
AN - SCOPUS:85166784712
SN - 0027-8424
VL - 120
SP - e2305465120
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 33
M1 - e2305465120
ER -