Evidence map›Paper›PMID 42686894›Full record

ArticleScientific reports2026

Genomic and structural analysis of dacB variants associated with cephalosporin resistance in Pseudomonas aeruginosa.

Shalini Mathpal, Maruthan Karthik, Tushar Joshi, Vishnukumar Ramesh, Kamini Walia, Karthik Gunasekaran, Balaji Veeraraghavan, Sudha Ramaiah, Anand Anbarasu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shalini Mathpal *Department of Bio-Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India.
Maruthan Karthik *Department of Clinical Microbiology, Christian Medical College, Vellore, 632014, Tamil Nadu, India.
Tushar JoshiDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India.
Vishnukumar RameshDepartment of Clinical Microbiology, Christian Medical College, Vellore, 632014, Tamil Nadu, India.
Kamini WaliaDivision of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, 110029, India.
Karthik GunasekaranDepartment of Medicine, Christian Medical College, Vellore, 632014, Tamil Nadu, India.
Balaji VeeraraghavanDepartment of Clinical Microbiology, Christian Medical College, Vellore, 632014, Tamil Nadu, India. vbalaji@cmcvellore.ac.in.ORCID 0000-0002-8662-4257
Sudha RamaiahDepartment of Bio-Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India. sudhaanand@vit.ac.in.ORCID 0000-0002-4800-329X
Anand AnbarasuDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of resistance to fourth-generation cephalosporin in Pseudomonas aeruginosa (P. aeruginosa) is a global concern. The resistance is largely driven by variants of chromosomally encoded AmpC β-lactamase, known as Pseudomonas-derived cephalosporinase (PDC), which arise from the mutations in the ampC gene. In addition, alteration in dacB, which encode the penicillin-binding protein 4 (PBP4), can lead to the overexpression of ampC, thereby contributing to β-lactam resistance. Present work analyzed 208 clinical isolates of P. aeruginosa using whole-genome sequencing (WGS) and detected multiple nonsynonymous single nucleotide polymorphisms (nsSNPs), such as Y264C, G444D, and a double mutation (A394P-T428P). All nsSNPs were predicted to be deleterious by several prediction program. Molecular dynamics (MD) simulations suggested that these substitutions destabilize PBP4, increase structural flexibility, and contribute to the resistance mechanism, which favored their selection. To determine the effective therapeutics against these mutations, molecular docking was conducted with various antibiotics. Cefoperazone exhibited the highest binding affinity (-7.3 kcal/mol) among multiple PBP4 variants. The Molecular dynamics (MD) simulations and Molecular Mechanics Poisson Boltzmann Surface Area calculations (MMPBSA) further confirmed the favorable interactions between cefoperazone and PBP4 variants. In vitro MIC analyses supported these findings, indicating that cefoperazone displayed significant activity against clinical dacB mutants of P. aeruginosa. The study offers structural insight of dacB variants leading to antibiotic resistance and emphasizes the need to prioritize specific antibiotics to address the challenges arising from protein mutations.

Indexed as

Bacterial ProteinsCephalosporin ResistanceCephalosporinsPseudomonas aeruginosaAnti-Bacterial Agentsbeta-LactamasesHumansMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationMutationPenicillin-Binding ProteinsPolymorphism, Single NucleotideWhole Genome SequencingAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCephalosporinsPenicillin-Binding ProteinsAntimicrobial resistanceGenome sequencingMissense mutations

Identifiers

PMID42686894
PMCPMC13538626

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.