Environmental exposures and child and maternal gut microbiota in rural Malawi

From BugSigDB
Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/28
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Kortekangas E, Kamng'ona AW, Fan YM, Cheung YB, Ashorn U, Matchado A, Poelman B, Maleta K, Dewey KG, Ashorn P
Journal
Paediatric and perinatal epidemiology
Year
2020
Keywords:
child health, environment, gut microbiota, seasons, socio-economic factors
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.

Experiment 1


Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/28

Curated date: 2022/07/20

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1, WikiWorks

Subjects

Location of subjects
Malawi
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Seasonal gut microbiome measurement Seasonal gut microbiome measurement,seasonal gut microbiome measurement
Group 0 name Corresponds to the control (unexposed) group for case-control studies
samples taken in dry/hot or rainy season
Group 1 name Corresponds to the case (exposed) group for case-control studies
samples taken in dry/cold season
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
samples taken in the dry/cold season
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
NA

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Statistical test
Zero-Inflated Beta Regression
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
antibiotic exposure, delivery procedure, education level, marital status, maternal age, sex


Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/28

Curated date: 2022/07/20

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1

Source: Figure 3

Description: Differential abundance between samples from dry/cold season vs samples from dry/hot or rainy season

Abundance in Group 1: increased abundance in samples taken in dry/cold season

NCBI Quality ControlLinks
Prevotella
Streptococcus porcinus
Faecalibacterium prausnitzii
Oscillospiraceae
Clostridium
Clostridiales bacterium
Faecalibacterium

Revision editor(s): Kaluifeanyi101, Claregrieve1

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/28

Curated date: 2022/07/20

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1

Source: Figure 3

Description: Differential abundance between samples from dry/cold season vs samples from dry/hot or rainy season

Abundance in Group 1: decreased abundance in samples taken in dry/cold season

NCBI Quality ControlLinks
Enterobacter
Agathobacter rectalis CAG:36
Clostridiales bacterium
Clostridium
Granulicatella adiacens
Neisseria
Bacteroides fragilis
Ruminococcus
Enterobacteriaceae
Bacteroides thetaiotaomicron

Revision editor(s): Kaluifeanyi101, Claregrieve1