Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria
ABSTRACT Scope: Iron 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...
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| Format: | Article |
| Language: | English |
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Wiley
2025-06-01
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| Series: | MicrobiologyOpen |
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| Online Access: | https://doi.org/10.1002/mbo3.70015 |
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| author | 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 Simonetta Geninatti Crich Stefano Geuna Luca Munaron Deborah Chiabrando Celia Herrera‐Rincon |
| author_facet | 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 Simonetta Geninatti Crich Stefano Geuna Luca Munaron Deborah Chiabrando Celia Herrera‐Rincon |
| author_sort | Elisa Quarta |
| collection | DOAJ |
| description | ABSTRACT Scope: Iron 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 Results: We 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. Conclusion: These 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. |
| format | Article |
| id | doaj-art-48a465f1f9b34064ac907fbc7f0d64d6 |
| institution | Kabale University |
| issn | 2045-8827 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | MicrobiologyOpen |
| spelling | doaj-art-48a465f1f9b34064ac907fbc7f0d64d62025-08-20T03:30:04ZengWileyMicrobiologyOpen2045-88272025-06-01143n/an/a10.1002/mbo3.70015Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut BacteriaElisa Quarta0Marwane Bourqqia‐Ramzi1David Muñoz‐Rodriguez2María Teresa García‐Esteban3Antonio Murciano‐Cespedosa4Álvaro Mateos González5Francisco José Conejero‐Meca6Juan Lombardo‐Hernandez7Jesús Mansilla‐Guardiola8Simona Baroni9Simonetta Geninatti Crich10Stefano Geuna11Luca Munaron12Deborah Chiabrando13Celia Herrera‐Rincon14Department 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 SpainDepartment 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 SpainDepartment 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 SpainDepartment of Genetic, Physiology and Microbiology, Unit of Microbiology, Faculty of Biological Sciences Complutense University of Madrid Madrid SpainDepartment 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 SpainDepartment 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 SpainDepartment 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 SpainDepartment 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 SpainDepartment 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 SpainDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center “Guido Tarone” University of Torino Turin ItalyDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center “Guido Tarone” University of Torino Turin ItalyDepartment of Clinical and Biological Sciences University of Torino Turin ItalyDepartment of Life Science and Systems Biology (DBIOS) University of Torino Turin ItalyDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center “Guido Tarone” University of Torino Turin ItalyDepartment 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 SpainABSTRACT Scope: Iron 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 Results: We 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. Conclusion: These 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.https://doi.org/10.1002/mbo3.70015bioelectricitymembrane potentialmicrobiota‐gut‐brain axisnutritional deficiency |
| spellingShingle | 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 Simonetta Geninatti Crich Stefano Geuna Luca Munaron Deborah Chiabrando Celia Herrera‐Rincon Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria MicrobiologyOpen bioelectricity membrane potential microbiota‐gut‐brain axis nutritional deficiency |
| title | Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria |
| title_full | Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria |
| title_fullStr | Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria |
| title_full_unstemmed | Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria |
| title_short | Impact of Iron Deficiency on the Growth and Bioelectrical Profile of Different Gut Bacteria |
| title_sort | impact of iron deficiency on the growth and bioelectrical profile of different gut bacteria |
| topic | bioelectricity membrane potential microbiota‐gut‐brain axis nutritional deficiency |
| url | https://doi.org/10.1002/mbo3.70015 |
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