Evidence map›Paper›PMID 36978420›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Antimicrobial Peptides Designed against the Ω-Loop of Class A β-Lactamases to Potentiate the Efficacy of β-Lactam Antibiotics.

Sarmistha Biswal, Karina Caetano, Diamond Jain, Anusha Sarrila, Tulika Munshi, Rachael Dickman, Alethea B Tabor, Surya Narayan Rath, Sanjib Bhakta, Anindya S Ghosh

Open access · goldFull text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 36% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors at 4 institutions in 2 countries.

Sarmistha BiswalMolecular Microbiology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.ORCID 0009-0001-1901-4782
Karina CaetanoMycobacteria Research Laboratory, Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK.
Diamond JainMolecular Microbiology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
Anusha SarrilaMolecular Microbiology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
Tulika MunshiMycobacteria Research Laboratory, Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK.
Rachael DickmanDepartment of Chemistry, University College London, Gordon Street, London WC1H 0AJ, UK.ORCID 0000-0003-3139-5423
Alethea B TaborDepartment of Chemistry, University College London, Gordon Street, London WC1H 0AJ, UK.
Surya Narayan RathDepartment of Bioinformatics, Odisha University of Agriculture and Technology, Bhubaneswar 751003, Odisha, India.
Sanjib BhaktaMycobacteria Research Laboratory, Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK.ORCID 0000-0002-1165-9295
Anindya S GhoshMolecular Microbiology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
Indian Institute of Technology Kharagpur · INInstitute of Structural and Molecular Biology · GBUniversity College London · GBOdisha University of Agriculture and Technology · IN

Funding

British Council for Newton-Bhabha fellowship DST/INSPIRE/NBHF/2018/12Council of Scientific and Industrial Research 27(0367)/20/EMR-IIDST-INSPIRE Doctoral Fellowship from Department of Science and Technology, Government of India DST/INSPIRE/03/2015/150440
6 · The paper itself

Abstract

Class A serine β-lactamases (SBLs) have a conserved non-active site structural domain called the omega loop (Ω-loop), in which a glutamic acid residue is believed to be directly involved in the hydrolysis of β-lactam antibiotics by providing a water molecule during catalysis. We aimed to design and characterise potential pentapeptides to mask the function of the Ω-loop of β-lactamases and reduce their efficacy, along with potentiating the β-lactam antibiotics and eventually decreasing β-lactam resistance. Considering the Ω-loop sequence as a template, a group of pentapeptide models were designed, validated through docking, and synthesised using solid-phase peptide synthesis (SPPS). To check whether the β-lactamases (BLAs) were inhibited, we expressed specific BLAs (TEM-1 and SHV-14) and evaluated the trans-expression through a broth dilution method and an agar dilution method (HT-SPOTi). To further support our claim, we conducted a kinetic analysis of BLAs with the peptides and employed molecular dynamics (MD) simulations of peptides. The individual presence of six histidine-based peptides (TSHLH, ETHIH, ESRLH, ESHIH, ESRIH, and TYHLH) reduced β-lactam resistance in the strains harbouring BLAs. Subsequently, we found that the combinational effect of these peptides and β-lactams sensitised the bacteria towards the β-lactam drugs. We hypothesize that the antimicrobial peptides obtained might be considered among the novel inhibitors that can be used specifically against the Ω-loop of the β-lactamases.

Indexed as

antimicrobial peptide (AMP)dockingenzyme kineticsHR-mass spectrometryHT-SPOTiMD simulationpeptide modellingsolid phase synthesisβ-lactamasesΩ-loop

Identifiers

PMID36978420
PMCPMC10044640
OpenAlexW4323846837

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.