Evidence map›Paper›PMID 40452591›Full record

ArticleMicrobiologyOpen2025

Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria.

Elisa Quarta, Marwane Bourqqia-Ramzi, David Muñoz-Rodriguez, María Teresa García-Esteban, Antonio Murciano-Cespedosa, Álvaro Mateos González, Francisco José Conejero-Meca, Juan Lombardo-Hernandez, Jesús Mansilla-Guardiola, Simona Baroni and 5 more

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2025. 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
–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

1 citing paper in PubMed.

  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

15 authors.

Elisa QuartaDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Marwane Bourqqia-RamziDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
David Muñoz-RodriguezDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
María Teresa García-EstebanDepartment of Genetic, Physiology and Microbiology, Unit of Microbiology, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0001-9041-6736
Antonio Murciano-CespedosaDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Álvaro Mateos GonzálezDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Francisco José Conejero-MecaDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Juan Lombardo-HernandezDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Jesús Mansilla-GuardiolaDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.
Simona BaroniDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Torino, Turin, Italy.
Simonetta Geninatti CrichDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Torino, Turin, Italy.
Stefano GeunaDepartment of Clinical and Biological Sciences, University of Torino, Turin, Italy.
Luca MunaronDepartment of Life Science and Systems Biology (DBIOS), University of Torino, Turin, Italy.
Deborah ChiabrandoDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Torino, Turin, Italy.
Celia Herrera-RinconDepartment of Biodiversity, Ecology & Evolution, and Modeling, Data Analysis & Computational Tools for Biology Research Group, Biomathematics Unit, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0003-0748-8718

Funding

This research was funded by the Ramon y Cajal program through the Spanish Ministry of Science, State Agency for Research (RYC2020-029499-I) and by the Complutense University of Madrid (Research Project PR3/23-30827) to C.H.-R. We also gratefully acknowledge support from the University of Turin (Grant for Internationalization) to D.C., and the New York University Shanghai.
6 · The paper itself

Abstract

scopeIron deficiency (ID) is the most common nutritional deficiency worldwide, impacting gut bacteria's metabolism and cellular biochemistry, but its effects on the microbiota-gut-brain axis (MGB) are poorly understood. Early-life ID-related dysbiosis is linked to neurodevelopmental impairments like autism and attention deficit hyperactivity disorder. Studying ID's impact on bacterial signaling can guide interventions to target MGB in iron-deficient populations. This study examined the responses of Escherichia coli (E. coli) and Limosilactobacillus reuteri (L. reuteri) to in-vitro ID conditions using the iron chelator 2,2'-Bipyridyl (BP). METHODS AND

resultsWe assessed and modeled their growth and cultivability and explored their bioelectric profiles using the voltage-sensitive dye DiBAC4(3). Results showed differential responses: L. reuteri's growth and cultivability were unaffected by BP, while E. coli's growth rate and cultivability decreased under ID. Additionally, we created a deterministic mathematical model that demonstrated a decrease in the population's average reproduction rate in E. coli under ID. Only E. coli exhibited an altered bioelectric profile, marked by increased cell depolarization in ID conditions, which was largely rescued upon the addition of a saturating concentration of iron.

conclusionThese findings highlight specific bioelectrical responses in gut bacteria to ID. Understanding this variability is crucial for deciphering the microbiota's role in health and disease, particularly concerning nutritional iron imbalance and bacterial signaling in the MGB.

Indexed as

Escherichia coliGastrointestinal MicrobiomeIron DeficienciesLimosilactobacillus reuteriDysbiosisHumansIronIronbioelectricitymembrane potentialmicrobiota‐gut‐brain axisnutritional deficiency

Identifiers

PMID40452591
PMCPMC12127773

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.