Evidence map›Paper›PMID 36516690›Full record

ArticleInternational journal of hygiene and environmental health2023

Alteration of oral microbiome composition in children living with pesticide-exposed farm workers.

Ian B Stanaway, James C Wallace, Sungwoo Hong, Carly S Wilder, Foad H Green, Jesse Tsai, Misty Knight, Tomomi Workman, Eric M Vigoren, Marissa N Smith and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of hygiene and environmental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

14 authors at 2 institutions in 1 country.

Ian B StanawayDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
James C WallaceDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Sungwoo HongDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Carly S WilderDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Foad H GreenDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Jesse TsaiDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Misty KnightDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Tomomi WorkmanDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Eric M VigorenDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Marissa N SmithDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
William C GriffithDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA.
Beti ThompsonFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Ali ShojaieDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Elaine M FaustmanDepartment of Environmental and Occupational Health Sciences, Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, WA, USA. Electronic address: faustman@u.washington.edu.
University of Washington · USFred Hutch Cancer Center · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
Mechanisms of Brain Dysmorphology in MN1 C-Terminal Truncation Syndrome, a Novel Intellectual Developmental Disability Disorder P50HD103524 · NICHD · UNIVERSITY OF WASHINGTON · PI Sandra E Juul · 2020 to 2026
$9.9M
STUDY OF CELLULAR &MOLECULAR ASPECTS OF PESTICIDE NEURODEVELOPMENTAL TOXICITYP01ES009601 · NIEHS · UNIVERSITY OF WASHINGTON · PI THOMPSON, ENGELBERTA · 1999 to 2013
$8.7M
NICHD NIH HHS HHSN267200700023CNICHD NIH HHS P50 HD103524NIEHS NIH HHS P01 ES009601NIEHS NIH HHS P30 ES007033NIEHS NIH HHS T32 ES015459
6 · The paper itself

Abstract

Our prior work shows that azinphos-methyl pesticide exposure is associated with altered oral microbiomes in exposed farmworkers. Here we extend this analysis to show the same association pattern is also evident in their children. Oral buccal swab samples were analyzed at two time points, the apple thinning season in spring-summer 2005 for 78 children and 101 adults and the non-spray season in winter 2006 for 62 children and 82 adults. The pesticide exposure for the children were defined by the farmworker occupation of the cohabitating household adult and the blood azinphos-methyl detection of the cohabitating adult. Oral buccal swab 16S rRNA sequencing determined taxonomic microbiota proportional composition from concurrent samples from both adults and children. Analysis of the identified bacteria showed significant proportional changes for 12 of 23 common oral microbiome genera in association with azinphos-methyl detection and farmworker occupation. The most common significantly altered genera had reductions in the abundance of Streptococcus, suggesting an anti-microbial effect of the pesticide. Principal component analysis of the microbiome identified two primary clusters, with association of principal component 1 to azinphos-methyl blood detection and farmworker occupational status of the household. The children's buccal microbiota composition clustered with their household adult in ∼95% of the households. Household adult farmworker occupation and household pesticide exposure is associated with significant alterations in their children's oral microbiome composition. This suggests that parental occupational exposure and pesticide take-home exposure pathways elicit alteration of their children's microbiomes.

Indexed as

MicrobiotaOccupational ExposurePesticidesAdultAgricultureAzinphosmethylChildFarmersHumansRNA, Ribosomal, 16SAzinphosmethylPesticidesRNA, Ribosomal, 16SAgricultureChildrenExposureMicrobiomeOrganophosphatePesticide

Identifiers

PMID36516690
PMCPMC9898171
OpenAlexW4311424640

What OpenQuestion holds

Textmetadata
LicenceTDM
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.