Evidence map›Paper›PMID 37686197›Full record

ArticleInternational journal of molecular sciences2023

Bioelectrical State of Bacteria Is Linked to Growth Dynamics and Response to Neurotransmitters: Perspectives for the Investigation of the Microbiota-Brain Axis.

David Muñoz-Rodríguez, Marwane Bourqqia-Ramzi, Maria Teresa García-Esteban, Antonio Murciano-Cespedosa, Alejandro Vian, Juan Lombardo-Hernández, Pablo García-Pérez, Francisco Conejero, Álvaro Mateos González, Stefano Geuna and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
  5. 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

11 authors at 3 institutions in 3 countries.

David Muñoz-RodríguezBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.
Marwane Bourqqia-RamziBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0009-0006-8850-479X
Maria Teresa García-EstebanDepartment of Genetics, Physiology and Microbiology, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-9041-6736
Antonio Murciano-CespedosaBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.
Alejandro VianDepartment of Genetics, Physiology and Microbiology, Complutense University of Madrid, 28040 Madrid, Spain.
Juan Lombardo-HernándezBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.
Pablo García-PérezBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.
Francisco ConejeroBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.
Álvaro Mateos GonzálezNYU-ECNU Institute of Mathematical Sciences, Shanghai New York University, Shanghai 200122, China.
Stefano GeunaMolecular Biotechnology Center, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-6962-831X
Celia Herrera-RinconBiomathematics Unit, Data Analysis & Computational Tools for Biology Research Group, Department of Biodiversity, Ecology & Evolution, and Modeling, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0003-0748-8718
Universidad Complutense de Madrid · ESNew York University Shanghai · CNUniversity of Turin · IT

Funding

TWCF TWCF0241 & TWCF0503
6 · The paper itself

Abstract

Inter-cellular communication is mediated by a sum of biochemical, biophysical, and bioelectrical signals. This might occur not only between cells belonging to the same tissue and/or animal species but also between cells that are, from an evolutionary point of view, far away. The possibility that bioelectrical communication takes place between bacteria and nerve cells has opened exciting perspectives in the study of the gut microbiota-brain axis. The aim of this paper is (i) to establish a reliable method for the assessment of the bioelectrical state of two bacterial strains:

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacillus subtilisBrainGlutamic AcidGlutamic Acidbioelectricitybis-(1,3-dibutylbarbituric acid) trimethine oxonol-DiBACdepolarizationgut microbiota–brain axis

Identifiers

PMID37686197
PMCPMC10488255
OpenAlexW4386255057

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.