Environmental exposures and child and maternal gut microbiota in rural Malawi
Background Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low‐income settings where childhood malnutrition is common and possibly related to microbiota composition. Obj...
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Published in | Paediatric and perinatal epidemiology Vol. 34; no. 2; pp. 161 - 170 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.03.2020
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0269-5022 1365-3016 1365-3016 |
DOI | 10.1111/ppe.12623 |
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Abstract | Background
Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low‐income settings where childhood malnutrition is common and possibly related to microbiota composition.
Objectives
To investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity.
Methods
Faecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio‐economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode.
Results
Measures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers.
Conclusion
The results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity. |
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AbstractList | Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low-income settings where childhood malnutrition is common and possibly related to microbiota composition.
To investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity.
Faecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio-economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode.
Measures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers.
The results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity. Background Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low‐income settings where childhood malnutrition is common and possibly related to microbiota composition. Objectives To investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity. Methods Faecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio‐economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode. Results Measures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers. Conclusion The results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity. Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low-income settings where childhood malnutrition is common and possibly related to microbiota composition.BACKGROUNDGut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low-income settings where childhood malnutrition is common and possibly related to microbiota composition.To investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity.OBJECTIVESTo investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity.Faecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio-economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode.METHODSFaecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio-economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode.Measures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers.RESULTSMeasures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers.The results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity.CONCLUSIONThe results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity. BackgroundGut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low‐income settings where childhood malnutrition is common and possibly related to microbiota composition.ObjectivesTo investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity.MethodsFaecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio‐economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode.ResultsMeasures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers.ConclusionThe results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity. |
Author | Kortekangas, Emma Cheung, Yin Bun Maleta, Kenneth Poelman, Basho Ashorn, Per Fan, Yue‐Mei Dewey, Kathryn G. Kamng'ona, Arox W. Ashorn, Ulla Matchado, Andrew |
AuthorAffiliation | 5 School of Public Health and Family Medicine University of Malawi College of Medicine Blantyre Malawi 7 Department of Paediatrics Tampere University Hospital Tampere Finland 2 Department of Biomedical Sciences College of Medicine University of Malawi Blantyre Malawi 3 Program in International and Community Nutrition University of California Davis Davis CA USA 1 Center for Child Health Research Faculty of Medicine and Health Technology Tampere University Tampere Finland 4 Program in Health Services & Systems Research and Centre for Quantitative Medicine Duke‐NUS Medical School Singapore Singapore 6 Department of Nutrition University of California Davis Davis CA USA |
AuthorAffiliation_xml | – name: 7 Department of Paediatrics Tampere University Hospital Tampere Finland – name: 2 Department of Biomedical Sciences College of Medicine University of Malawi Blantyre Malawi – name: 4 Program in Health Services & Systems Research and Centre for Quantitative Medicine Duke‐NUS Medical School Singapore Singapore – name: 5 School of Public Health and Family Medicine University of Malawi College of Medicine Blantyre Malawi – name: 1 Center for Child Health Research Faculty of Medicine and Health Technology Tampere University Tampere Finland – name: 6 Department of Nutrition University of California Davis Davis CA USA – name: 3 Program in International and Community Nutrition University of California Davis Davis CA USA |
Author_xml | – sequence: 1 givenname: Emma orcidid: 0000-0003-2568-1941 surname: Kortekangas fullname: Kortekangas, Emma email: emma.kortekangas@tuni.fi organization: Tampere University – sequence: 2 givenname: Arox W. surname: Kamng'ona fullname: Kamng'ona, Arox W. organization: University of California Davis – sequence: 3 givenname: Yue‐Mei surname: Fan fullname: Fan, Yue‐Mei organization: Tampere University – sequence: 4 givenname: Yin Bun surname: Cheung fullname: Cheung, Yin Bun organization: Duke‐NUS Medical School – sequence: 5 givenname: Ulla surname: Ashorn fullname: Ashorn, Ulla organization: Tampere University – sequence: 6 givenname: Andrew surname: Matchado fullname: Matchado, Andrew organization: University of Malawi College of Medicine – sequence: 7 givenname: Basho surname: Poelman fullname: Poelman, Basho organization: Tampere University – sequence: 8 givenname: Kenneth surname: Maleta fullname: Maleta, Kenneth organization: University of Malawi College of Medicine – sequence: 9 givenname: Kathryn G. surname: Dewey fullname: Dewey, Kathryn G. organization: University of California Davis – sequence: 10 givenname: Per surname: Ashorn fullname: Ashorn, Per organization: Tampere University Hospital |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32011017$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1038_s41467_024_51464_w crossref_primary_10_1038_s41564_021_01023_6 crossref_primary_10_3390_nu15051213 crossref_primary_10_1093_tropej_fmac012 crossref_primary_10_3390_ijerph191710891 crossref_primary_10_1016_j_nutres_2025_01_006 crossref_primary_10_3390_nu14091926 crossref_primary_10_1038_s41598_020_71922_x crossref_primary_10_3390_microorganisms11082118 crossref_primary_10_1186_s40168_021_01195_7 crossref_primary_10_1016_j_jpsychires_2024_10_028 crossref_primary_10_3389_fmed_2022_940454 crossref_primary_10_1016_j_envpol_2020_115111 |
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Copyright | 2020 The Authors. published by John Wiley & Sons Ltd 2020 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd. Copyright © 2020 John Wiley & Sons Ltd |
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Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few... Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies... BackgroundGut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few... |
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SubjectTerms | Adult Bacteria - classification Bacteria - isolation & purification child health Child Nutrition Disorders - diagnosis Child Nutrition Disorders - epidemiology Child, Preschool Childhood Outcomes Children Children & youth Domestic animals Educational Status environment Environmental Exposure - analysis Environmental Exposure - statistics & numerical data Feces - microbiology Female Gastrointestinal Microbiome - physiology Gut microbiota HIV HIV Infections - diagnosis HIV Infections - epidemiology Human immunodeficiency virus Humans Infant Infant Nutrition Disorders - diagnosis Infant Nutrition Disorders - epidemiology Intestinal microflora Malawi - epidemiology Male Malnutrition Maturity Microbiota Nutrition Assessment Nutritional Support Original Parent educational background Phylogeny rRNA 16S seasons Socioeconomic Factors socio‐economic factors |
Title | Environmental exposures and child and maternal gut microbiota in rural Malawi |
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