Evidence map›Paper›PMID 41653958›Full record

ArticleEnvironmental research2026

Household environmental characteristics influence the house dust metagenome.

Isabella Gamez, Farnaz Fouladi, Antonio Gonzalez, James Ward, Ziyue Wang, Laura E Beane Freeman, Alison Motsinger-Reif, Shyamal D Peddada, Rob Knight, Mikyeong Lee and 1 more

Abstract read
In one paragraph

Article in Environmental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Isabella GamezEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Farnaz FouladiBiostatistics & Computational Biology Branch, NIEHS, Research Triangle Park, NC, USA.
Antonio GonzalezDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
James WardIntegrative Bioinformatics Support Group, NIEHS, Research Triangle Park, NC, USA.
Ziyue WangDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, 10016, USA.
Laura E Beane FreemanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Alison Motsinger-ReifBiostatistics & Computational Biology Branch, NIEHS, Research Triangle Park, NC, USA.
Shyamal D PeddadaBiostatistics & Computational Biology Branch, NIEHS, Research Triangle Park, NC, USA.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Mikyeong LeeEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA. Electronic address: mikyeong.lee@nih.gov.
Stephanie J LondonImmunity Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.

Funding

Health Effects Of Exposures In AgricultureZIAES049030 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$11.2M
Lung Health Study in the Agricultural Health StudyZIAES102385 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE · 2009 to 2025
$6.1M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Collaborative Biostatistical ResearchZIAES103390 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2023 to 2025
$665k
Intramural NIH HHS Z01 CP010119Intramural NIH HHS ZIA ES049030Intramural NIH HHS ZIA ES102385Intramural NIH HHS ZIA ES103390
6 · The paper itself

Abstract

Environmental exposures can shape microbial community compositions inside homes. Metagenomic sequencing methods can further elucidate the role of household exposures like indoor moisture and the surrounding landscape. To identify household environmental exposures associated with the house dust metagenome. Microbial communities in vacuumed dust from 771 homes in the Agricultural Lung Health Study were characterized using whole metagenome shotgun sequencing (5821 taxa across 45 phyla). Household characteristics (i.e. presence of leaks, de-humidifier, humidifier use) were assessed by questionnaires or field technicians. We evaluated associations between exposures and both overall microbial diversity and differentially abundant taxa (ANCOM-BC2). Additionally, we explored microbial networks based on Spearman correlations (SECOM). Microbial diversity was higher in homes with mold/mildew (p-value<0.05), leaks, humidifier use, or occupants removing shoes before entering (p-value<0.1). Examining individual species, <10 taxa were significantly differentially abundant (p-value<0.05 after Holm-Bonferroni correction) in relation to both mold/mildew and leaks. Greater than 10 species were significantly differentially abundant in relation to removing shoes and humidifier use. Additionally, the genera Clostridium, Prevotella, and Cryptobacteroides were positively associated with removing shoes. In this farming population, the house dust microbiome differed by moisture-related exposures, and removing shoes before entering the home. Many novel associations were identified between individual taxa and these exposures. Our findings further knowledge of the impact of environmental conditions inside the home on the indoor microbiome.

Indexed as

Air Pollution, IndoorDustEnvironmental ExposureHumansMetagenomeDustBuilt environmentHouse dust microbiomeIndoor microbiomeMicrobial ecologyWhole genome sequencing

Identifiers

PMID41653958
PMCPMC12964377

What OpenQuestion holds

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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.