Household environment and animal fecal contamination are critical modifiers of the gut microbiome and resistome in young children from rural Nicaragua

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Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Mills M, Lee S, Piperata BA, Garabed R, Choi B, Lee J
Journal
Microbiome
Year
2023
Keywords:
Animals, Breastfeeding duration, Dirt floor, E. coli as antibiotic resistance host, Microbial source tracking, Multi-drug resistance, One Health
BACKGROUND: Early life plays a vital role in the development of the gut microbiome and subsequent health. While many factors that shape the gut microbiome have been described, including delivery mode, breastfeeding, and antibiotic use, the role of household environments is still unclear. Furthermore, the development of the gut antimicrobial resistome and its role in health and disease is not well characterized, particularly in settings with water insecurity and less sanitation infrastructure. RESULTS: This study investigated the gut microbiome and resistome of infants and young children (ages 4 days-6 years) in rural Nicaragua using Oxford Nanopore Technology's MinION long-read sequencing. Differences in gut microbiome diversity and antibiotic resistance gene (ARG) abundance were examined for associations with host factors (age, sex, height for age z-score, weight for height z-score, delivery mode, breastfeeding habits) and household environmental factors (animals inside the home, coliforms in drinking water, enteric pathogens in household floors, fecal microbial source tracking markers in household floors). We identified anticipated associations of higher gut microbiome diversity with participant age and vaginal delivery. However, novel to this study were the significant, positive associations between ruminant and dog fecal contamination of household floors and gut microbiome diversity. We also identified greater abundance of potential pathogens in the gut microbiomes of participants with higher fecal contamination on their household floors. Path analysis revealed that water quality and household floor contamination independently and significantly influenced gut microbiome diversity when controlling for age. These gut microbiome contained diverse resistome, dominated by multidrug, tetracycline, macrolide/lincosamide/streptogramin, and beta-lactam resistance. We found that the abundance of ARGs in the gut decreased with age. The bacterial hosts of ARGs were mainly from the family Enterobacteriaceae, particularly Escherichia coli. CONCLUSIONS: This study identified the role of household environmental contamination in the developing gut microbiome and resistome of young children and infants with a One Health perspective. We found significant relationships between host age, gut microbiome diversity, and the resistome. Understanding the impact of the household environment on the development of the resistome and microbiome in early life is essential to optimize the relationship between environmental exposure and human health. Video Abstract.

Experiment 1


Needs review

Curated date: 2024/03/23

Curator: Aishat

Revision editor(s): Aishat

Subjects

Location of subjects
Nicaragua
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
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Infants
Group 1 name Corresponds to the case (exposed) group for case-control studies
Children
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants between 2.0–6.0 years
Group 0 sample size Number of subjects in the control (unexposed) group
26
Group 1 sample size Number of subjects in the case (exposed) group
31

Lab analysis

16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Nanopore

Statistical Analysis

Statistical test
Kruskall-Wallis
PERMANOVA
Spearman Correlation
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
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age, body height, body weight, breast feeding, mode of birth, sex

Alpha Diversity

Pielou Quantifies how equal the community is numerically
increased
Shannon Estimator of species richness and species evenness: more weight on species richness
increased

Signature 1

Needs review

Curated date: 2024/03/23

Curator: Aishat

Revision editor(s): Aishat

Source: Figure 2b

Description: Bacterial families with different abundances in children and infants identified with linear discriminant analysis effect size (LEfSe)

Abundance in Group 1: increased abundance in Children

NCBI Quality ControlLinks
Lachnospiraceae
Prevotellaceae
Spirochaetaceae
RuminococcaceaeRuminococcaceae

Revision editor(s): Aishat

Signature 2

Needs review

Curated date: 2024/03/23

Curator: Aishat

Revision editor(s): Aishat

Source: Figure 2b

Description: Bacterial families with different abundances in children and infants identified with linear discriminant analysis effect size (LEfSe)

Abundance in Group 1: decreased abundance in Children

NCBI Quality ControlLinks
Bacteroidaceae
Bifidobacteriaceae
Enterobacteriaceae

Revision editor(s): Aishat