Evidence map›Paper›PMID 38087451›Full record

ArticleJournal of neuroendocrinology2024

Preconceptional and in utero exposure of sheep to a real-life environmental chemical mixture disrupts key markers of energy metabolism in male offspring.

Mohammad Ghasemzadeh-Hasankolaei, Chris S Elcombe, Samantha Powls, Richard G Lea, Kevin D Sinclair, Vasantha Padmanabhan, Neil P Evans, Michelle Bellingham

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroendocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 5 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.

Mohammad Ghasemzadeh-HasankolaeiSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0003-2053-5566
Chris S ElcombeSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-7869-0123
Samantha PowlsSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Richard G LeaUniversity of Nottingham, Sutton Bonington Campus, Loughborough, UK.ORCID 0000-0002-6793-3601
Kevin D SinclairUniversity of Nottingham, Sutton Bonington Campus, Loughborough, UK.ORCID 0000-0002-6375-215X
Vasantha PadmanabhanDepartment of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-8443-7212
Neil P EvansSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0001-7395-3222
Michelle BellinghamSchool of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-3646-8989
University of Glasgow · GBUniversity of Nottingham · GBUniversity of Michigan · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
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
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES030374
6 · The paper itself

Abstract

Over recent decades, an extensive array of anthropogenic chemicals have entered the environment and have been implicated in the increased incidence of an array of diseases, including metabolic syndrome. The ubiquitous presence of these environmental chemicals (ECs) necessitates the use of real-life exposure models to the assess cumulative risk burden to metabolic health. Sheep that graze on biosolids-treated pastures are exposed to a real-life mixture of ECs such as phthalates, per- and polyfluoroalkyl substances, heavy metals, pharmaceuticals, pesticides, and metabolites thereof, and this EC exposure can result in metabolic disorders in their offspring. Using this model, we evaluated the effects of gestational exposure to a complex EC mixture on plasma triglyceride (TG) concentrations and metabolic and epigenetic regulatory genes in tissues key to energy regulation and storage, including the hypothalamus, liver, and adipose depots of 11-month-old male offspring. Our results demonstrated a binary effect of EC exposure on gene expression particularly in the hypothalamus. Principal component analysis revealed two subsets (B-S1 [n = 6] and B-S2 [n = 4]) within the biosolids group (B, n = 10), relative to the controls (C, n = 11). Changes in body weight, TG levels, and in gene expression in the hypothalamus, and visceral and subcutaneous fat were apparent between biosolid and control and the two subgroups of biosolids animals. These findings demonstrate that gestational exposure to an EC mixture results in differential regulation of metabolic processes in adult male offspring. Binary effects on hypothalamic gene expression and altered expression of lipid metabolism genes in visceral and subcutaneous fat, coupled with phenotypic outcomes, point to differences in individual susceptibility to EC exposure that could predispose vulnerable individuals to later metabolic dysfunction.

Indexed as

HypothalamusPrenatal Exposure Delayed EffectsAnimalsBiosolidsBody WeightEnergy MetabolismFemaleHumansInfantMaleObesitySheepBiosolidsbiosolidsenvironmental-chemicalsin utero exposuremetabolism-related markers

Identifiers

PMID38087451
PMCPMC10841670
OpenAlexW4389684505

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.