Evidence map›Paper›PMID 36565874›Full record

ArticleThe Science of the total environment2023

Developmental programming: Preconceptional and gestational exposure of sheep to a real-life environmental chemical mixture alters maternal metabolome in a fetal sex-specific manner.

S V Thangaraj, M Kachman, K M Halloran, K D Sinclair, R Lea, M Bellingham, N P Evans, V Padmanabhan

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

S V ThangarajDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
M KachmanMM BRCF Metabolomics Core, University of Michigan, Ann Arbor, MI, USA.
K M HalloranDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
K D SinclairUniversity of Nottingham, Sutton Bonington Campus, Loughborough, UK.
R LeaUniversity of Nottingham, Sutton Bonington Campus, Loughborough, UK.
M BellinghamSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
N P EvansSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
V PadmanabhanDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA. Electronic address: vasantha@umich.edu.
University of Michigan · USUniversity of Glasgow · GBUniversity of Nottingham · GB

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Transgenerational consequences of pre-conceptional and in utero exposure to real-life chemical mixtures on fertility and metabolic healthR01ES030374 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EVANS, NEIL PRICE, LEA, RICHARD · 2020 to 2024
$2.3M
NIDDK NIH HHS P30 DK089503NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES030374
6 · The paper itself

Abstract

backgroundEveryday, humans are exposed to a mixture of environmental chemicals some of which have endocrine and/or metabolism disrupting actions which may contribute to non-communicable diseases. The adverse health impacts of real-world chemical exposure, characterized by chronic low doses of a mixture of chemicals, are only recently emerging. Biosolids derived from human waste represent the environmental chemical mixtures humans are exposed to in real life. Prior studies in sheep have shown aberrant reproductive and metabolic phenotypes in offspring after maternal biosolids exposure.

objectiveTo determine if exposure to biosolids perturbs the maternal metabolic milieu of pregnant ewes, in a fetal sex-specific manner.

methodsEwes were grazed on inorganic fertilizer (Control) or biosolids-treated pastures (BTP) from before mating and throughout gestation. Plasma from pregnant ewes (Control n = 15, BTP n = 15) obtained mid-gestation were analyzed by untargeted metabolomics. Metabolites were identified using Agilent MassHunter. Multivariate analyses were done using MetaboAnalyst 5.0 and confirmed using SIMCA.

resultsUnivariate and multivariate analysis of 2301 annotated metabolites identified 193 differentially abundant metabolites (DM) between control and BTP sheep. The DM primarily belonged to the super-class of lipids and organic acids. 15-HeTrE, oleamide, methionine, CAR(3:0(OH)) and pyroglutamic acid were the top DM and have been implicated in the regulation of fetal growth and development. Fetal sex further exacerbated differences in metabolite profiles in the BTP group. The organic acids class of metabolites was abundant in animals with male fetuses. Prenol lipid, sphingolipid, glycerolipid, alkaloid, polyketide and benzenoid classes showed fetal sex-specific responses to biosolids. DISCUSSION: Our study illustrates that exposure to biosolids significantly alters the maternal metabolome in a fetal sex-specific manner. The altered metabolite profile indicates perturbations to fatty acid, arginine, branched chain amino acid and one‑carbon metabolism. These factors are consistent with, and likely contribute to, the adverse phenotypic outcomes reported in the offspring.

Indexed as

Fetal DevelopmentMaternal ExposureAnimalsBiosolidsFemaleHumansMaleMetabolomePregnancySex CharacteristicsSheepBiosolidsBiosolidsEnvironmental chemical mixturePrenatal exposureSex-specificUntargeted metabolomics

Identifiers

PMID36565874
PMCPMC10322214
OpenAlexW4313214663

What Socratic 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 Socratic graph.