Evidence map›Paper›PMID 41162893›Full record

ArticleBMC microbiology2025

Unveiling meropenem resistance and co-resistance patterns in Klebsiella pneumoniae and Acinetobacter baumannii: a global genome analysis using ML/DL and association mining.

Srimathy Ramachandran, Deepak K, Shrikumaran M, Mohamed Rasiq R, Ananya S, Aruna V, Derrick Daniel P, Sruthi B, Suma Mohan S

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Molecular and Structural Insights ofAntibiotics (Basel, Switzerland) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Srimathy RamachandranComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Deepak KComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Shrikumaran MComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Mohamed Rasiq RComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Ananya SComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Aruna VComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Derrick Daniel PComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Sruthi BComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India.
Suma Mohan SComputational Biology lab, Bioinformatics Center, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, 613401, India. sumamohan@scbt.sastra.edu.

Funding

Department of Biotechnology, Ministry of Science and Technology, India . BT/PR40144/BTIS/137/46/2022, BT/PR40150/BTIS/137/81/2023
6 · The paper itself

Abstract

The increasing prevalence of meropenem-resistant gram-negative bacteria has led to higher treatment failure and mortality rates. The global availability of bacterial WGS data with antimicrobial resistance phenotypes enables large-scale analyses to explore resistance determinants. This study investigated meropenem resistance mechanisms in multidrug-resistant Klebsiella pneumoniae (KP) and Acinetobacter baumannii (AB) isolates using advanced data analytics. We analysed AMR genes and mutations from 2,411 KP and 375 AB isolates. Notable differences were observed in the proportions of genes contributing to the meropenem resistance mechanism categories between KP and AB, including carbapenemases (4% in KP, 23% in AB), antibiotic efflux (30%, 60%), target alteration (23%, 12%), and reduced permeability (18%, 3%). Mutation frequencies also varied, with antibiotic efflux (26%, 67%), target alteration (64%, 5%), and reduced permeability (7%, 15%). Using ML/DL and association mining approaches, we identified key features such as bla

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialGenome, BacterialKlebsiella pneumoniaeMeropenemBacterial Proteinsbeta-LactamasesHumansKlebsiella InfectionsMicrobial Sensitivity TestsMutationAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesMeropenemAcinetobacter baumanniiAssociation miningCo-resistanceKlebsiella pneumoniaeML/DL

Identifiers

PMID41162893
PMCPMC12574167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.