Evidence map›Paper›PMID 37374877›Full record

ArticleMicroorganisms2023

Application of QSAR Approach to Assess the Effects of Organic Pollutants on Bacterial Virulence Factors.

Roukaya Al Haj Ishak Al Ali, Leslie Mondamert, Jean-Marc Berjeaud, Joelle Jandry, Alexandre Crépin, Jérôme Labanowski

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. 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
0.2field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Roukaya Al Haj Ishak Al AliInstitute of Chemistry, Materials and Natural Resources of Poitiers, UMR CNRS 7285, University of Poitiers, 86000 Poitiers, France.ORCID 0000-0001-8827-1224
Leslie MondamertInstitute of Chemistry, Materials and Natural Resources of Poitiers, UMR CNRS 7285, University of Poitiers, 86000 Poitiers, France.
Jean-Marc BerjeaudEcology and Biology of Interactions, UMR CNRS 7267, University of Poitiers, 86000 Poitiers, France.ORCID 0000-0001-9013-8430
Joelle JandryFaculty of Agronomy and Veterinary Sciences, Lebanese University, Dekwaneh, Lebanon.
Alexandre CrépinEcology and Biology of Interactions, UMR CNRS 7267, University of Poitiers, 86000 Poitiers, France.
Jérôme LabanowskiInstitute of Chemistry, Materials and Natural Resources of Poitiers, UMR CNRS 7285, University of Poitiers, 86000 Poitiers, France.ORCID 0000-0002-5888-7527
Centre National de la Recherche Scientifique · FRLebanese University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The release of a wide variety of persistent chemical contaminants into wastewater has become a growing concern due to their potential health and environmental risks. While the toxic effects of these pollutants on aquatic organisms have been extensively studied, their impact on microbial pathogens and their virulence mechanisms remains largely unexplored. This research paper focuses on the identification and prioritization of chemical pollutants that increase bacterial pathogenicity, which is a public health concern. In order to predict how chemical compounds, such as pesticides and pharmaceuticals, would affect the virulence mechanisms of three bacterial strains (

Indexed as

Escherichia coli K12organic pollutantspesticidespharmaceutical compoundsPseudomonas aeruginosa H103QSARSalmonella enterica serovar Typhimuriumvirulence

Identifiers

PMID37374877
PMCPMC10301662
OpenAlexW4378228665

What OpenQuestion holds

Textmetadata
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.