Evidence map›Paper›PMID 37715296›Full record

ArticleMicrobiome2023

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

Molly Mills, Seungjun Lee, Barbara A Piperata, Rebecca Garabed, Boseung Choi, Jiyoung Lee

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Antimicrobial-resistantmedRxiv : the preprint server for health sciences · 2026
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  9. One Health, One Microbiome.Microbiome · 2025
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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

6 authors at 3 institutions in 2 countries.

Molly MillsDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA.
Seungjun LeeDepartment of Food Science and Nutrition, College of Fisheries Science, Pukyong National University, Busan, Republic of Korea.
Barbara A PiperataDepartment of Anthropology, The Ohio State University, Columbus, OH, USA.
Rebecca GarabedDepartment of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH, USA.
Boseung ChoiDivision of Big Data Science, Korea University, Sejong, Republic of Korea.
Jiyoung LeeDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA. lee.3598@osu.edu.
The Ohio State University · USKorea University · KRPukyong National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly 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.

resultsThis 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.

conclusionsThis 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.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsAnti-Bacterial AgentsBreast FeedingChildChild, PreschoolDogsEscherichia coliFemaleHumansInfantInfant, NewbornMaleNicaraguaAnti-Bacterial AgentsAnimalsBreastfeeding durationDirt floorE. coli as antibiotic resistance hostMicrobial source trackingMulti-drug resistanceOne Health

Identifiers

PMID37715296
PMCPMC10503196
OpenAlexW4386791234

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.