Evidence map›Paper›PMID 34442804›Full record

ArticleMicroorganisms2021

Assessment of Phenotype Relevant Amino Acid Residues in TEM-β-Lactamases by Mathematical Modelling and Experimental Approval.

Sara Madzgalla, Helena Duering, Jana C Hey, Svetlana Neubauer, Karl-Heinz Feller, Ralf Ehricht, Mathias W Pletz, Oliwia Makarewicz

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

8 authors at 2 institutions in 1 country.

Sara MadzgallaInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Helena DueringInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Jana C HeyInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Svetlana NeubauerInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Karl-Heinz FellerInfectoGnostics Research Campus, 07743 Jena, Germany.
Ralf EhrichtInfectoGnostics Research Campus, 07743 Jena, Germany.ORCID 0000-0002-6612-0043
Mathias W PletzInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.ORCID 0000-0001-8157-2753
Oliwia MakarewiczInstitute for Infectious Disease and Infection Control, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.
Jena University Hospital · DEInfectoGnostics Research Campus Jena · DE

Funding

Bundesministerium für Bildung, Wissenschaft und Forschung 13GW0096BBundesministerium für Bildung, Wissenschaft und Forschung 13GW0096DBundesministerium für Bildung, Wissenschaft und Forschung 13GW0096G
6 · The paper itself

Abstract

Single substitutions or combinations of them alter the hydrolytic activity towards specific β-lactam-antibiotics and β-lactamase inhibitors of TEM-β-lactamases. The sequences and phenotypic classification of allelic TEM variants, as provided by the NCBI National Database of Antibiotic Resistant Organisms, does not attribute phenotypes to all variants. Some entries are doubtful as the data assessment differs strongly between the studies or no data on the methodology are provided at all. This complicates mathematical and bioinformatic predictions of phenotypes that rely on the database. The present work aimed to prove the role of specific substitutions on the resistance phenotype of TEM variants in, to our knowledge, the most extensive mutagenesis study. In parallel, the predictive power of extrapolation algorithms was assessed. Most well-known substitutions with direct impact on the phenotype could be reproduced, both mathematically and experimentally. Most discrepancies were found for supportive substitutions, where some resulted in antagonistic effects in contrast to previously described synergism. The mathematical modelling proved to predict the strongest phenotype-relevant substitutions accurately but showed difficulties in identifying less prevalent but still phenotype transforming ones. In general, mutations increasing cephalosporin resistance resulted in increased sensitivity to β-lactamase inhibitors and vice versa. Combining substitutions related to cephalosporin and β-lactamase inhibitor resistance in almost all cases increased BLI susceptibility, indicating the rarity of the combined phenotype.

Indexed as

antimicrobial resistancebeta-lactamase-inhibitorextended-spectrum beta-lactamasesGram-negative bacteriamolecular diagnostics

Identifiers

PMID34442804
PMCPMC8399295
OpenAlexW3194661128

What OpenQuestion holds

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LicenceCC BY
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.