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Angrup, A.

Publications and source records attributed to Angrup, A..

2 recordsLinked to original sources

Gram-negative-dominated polymicrobial microbiome of necrotizing soft tissue infections from North India: an integrated culture and 16S rRNA metagenomics prospective cohort study

Necrotizing soft tissue infections (NSTIs) carry 10 to 30% mortality. Current empirical antimicrobial guidance derives almost entirely from Western cohorts dominated by Streptococcus pyogenes and aerobic-anaerobic consortia, yet whether this microbial paradigm applies to tropical, high-antimicrobial-pressure settings has not been tested with culture-independent methods. We did a prospective cohort study of 169 patients with intraoperatively confirmed NSTI at a North Indian tertiary center (2021 to 2024). Wound tissue underwent aerobic and anaerobic culture, QIIME2-based 16S rRNA gene amplicon sequencing (V3-V4), and targeted SYBR Green quantitative PCR (qPCR) for Acinetobacter baumannii and S. pyogenes. The wound microbiota was overwhelmingly Gram-negative and polymicrobial, anchored by A. baumannii (culture, 33.7%; metagenomics, 49.1%; qPCR, 37.9%), Escherichia coli (32.0%), and Klebsiella pneumoniae (20.7%); S. pyogenes contributed only 4.7% of culture-positive cases. Polymicrobial wounds had higher Shannon diversity (2.59 versus 2.33; P = 0.048) and discrete community composition (PERMANOVA R2 = 0.511; P = 0.010). Culture-metagenomics agreement ranged from almost perfect for Escherichia ({kappa} = 0.849) to slight for Streptococcus ({kappa} = 0.131). North Indian NSTIs present a microbial picture distinct from the Western paradigm, with implications for empirical therapy. IMPORTANCENecrotizing soft tissue infections kill rapidly, and physicians must choose antibiotics before laboratory results are available. Globally, treatment guidelines assume the dominant pathogen is Streptococcus pyogenes, a Gram-positive organism, because nearly all molecular evidence comes from Western countries. We show that in a large Indian cohort, the infection is instead dominated by Gram-negative bacteria, especially Acinetobacter baumannii, with S. pyogenes rarely present. Polymicrobial status, not wound location or injury mechanism, most strongly determines community composition. These findings challenge the one-size-fits-all antibiotic approach and argue for region-specific empirical regimens prioritizing Gram-negative coverage in tropical, high-antimicrobial-pressure settings.

microbiology↗

Evaluation of ERIC-PCR and MALDI-TOF as typing tools for multidrug resistant Klebsiella pneumoniae clinical isolates from a tertiary care center in India

Background and AimMultidrug resistant Klebsiella pneumoniae is associated with nosocomial infections in both outbreak and non-outbreak situations. The study intends to evaluate the potential of enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR), a genomic based typing and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) proteomic-based typing techniques for clonal relatedness among multidrug resistant Klebsiella pneumoniae isolates. MethodologyMultidrug resistant clinical isolates of Klebsiella pneumoniae (n =137) were collected from March 2019 to February 2020. Identification and protein-based phylogenetic analysis were performed by MALDI-TOF MS. Genomic typing was done by ERIC-PCR and analyzed by an online data analysis service (PyElph). Dice method with unweighted pair group method with arithmetic mean (UPGMA) program was used to compare the ERIC profiles. The samples were also evaluated by PCR for the presence of genes encoding carbapenemases, extended spectrum beta lactamases (ESBLs) and mobile colistin resistance-1 (mcr1). Result and ConclusionIsolates were typed into 40 ERIC types, and six groups by MALDI-TOF-MS. PCR-based analysis revealed that all the strains harbored two or more ESBL and carbapenemase genes. None of the isolates revealed the presence of the plasmid mediated mcr-1 gene for colistin resistance. The study presents ERIC based typing as more robust in comparison to MALDI-TOF for finding the clonal relatedness in epidemiological studies.

microbiology↗