Evidence map›Paper›PMID 37615676›Full record

ArticleArchives of toxicology2023

Sex-specific transgenerational effects of preconception exposure to arsenite: metabolic phenotypes of C57BL/6 offspring.

Bingzhen Shang, Abhishek Venkatratnam, Tianyi Liu, Christelle Douillet, Qing Shi, Madison Miller, Peter Cable, Fei Zou, Folami Y Ideraabdullah, Rebecca C Fry and 1 more

Open access · greenAbstract read
In one paragraph

Article in Archives of toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 4 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

11 authors at 1 institution in 1 country.

Bingzhen ShangDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Abhishek VenkatratnamDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Tianyi LiuDepartment of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Christelle DouilletDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Qing ShiDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Madison MillerDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Peter CableDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Fei ZouDepartment of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Folami Y IderaabdullahDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
Rebecca C FryDepartment of Environmental Science and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, 27599-7431, USA. rfry@email.unc.edu.
Miroslav StýbloDepartment of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7461, USA. Styblo@med.unc.edu.ORCID http://orcid.org/0000-0001-6764-1900
University of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Kathleen M Gray · 2020 to 2026
$22.2M
Genetic underpinning of diabetes associated with arsenic exposureR01ES029925 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA, PARDO-MANUEL DE VILLENA, FERNANDO · 2019 to 2023
$3.3M
Developmental windows for arsenic-associated diabetesR01ES028721 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA, STYBLO, MIROSLAV · 2018 to 2022
$2.2M
Humanized mouse models for arsenic toxicologyR01ES032643 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOLLER, BEVERLY H, STYBLO, MIROSLAV · 2021 to 2025
$2.1M
Mechanisms of Arsenic-Induced Diabetes Mellitus - Administrative SupplementR01ES022697 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STYBLO, MIROSLAV · 2014 to 2017
$1.5M
NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES031007NIEHS NIH HHS R01 ES022697NIEHS NIH HHS R01 ES028721NIEHS NIH HHS R01 ES029925NIEHS NIH HHS R01 ES032643NIH HHS P42ES031007NIH HHS R01ES028721-01A1NIH HHS R01ES029925NIH HHS R01ES032643
6 · The paper itself

Abstract

Chronic exposure to inorganic arsenic (iAs) has been linked to diabetes in both humans and mice, but the role of iAs exposure prior to conception and its transgenerational effects are understudied. The present study investigated transgenerational effects of preconception iAs exposure in C57BL/6J mice, focusing on metabolic phenotypes of G1 and G2 offspring. Body composition and diabetes indicators, including fasting blood glucose, fasting plasma insulin, glucose tolerance, and indicators of insulin resistance and beta cell function, were examined in both generations. The results suggest that the preconception iAs exposure in the parental (G0) generation induced diabetic phenotypes in G1 and G2 offspring in a sex-dependent manner. G1 females from iAs-exposed parents developed insulin resistance while no significant effects were found in G1 males. In the G2 generation, insulin resistance was observed only in males from iAs-exposed grandparents and was associated with higher bodyweights and adiposity. Similar trends were observed in G2 females from iAs-exposed grandparents, but these did not reach statistical significance. Thus, preconception iAs exposure altered metabolic phenotype across two generations of mouse offspring. Future research will investigate the molecular mechanisms underlying these transgenerational effects, including epigenomic and transcriptomic profiles of germ cells and tissues from G0, G1 and G2 generations.

Indexed as

ArsenitesInsulin ResistanceAnimalsFemaleHumansMaleMiceMice, Inbred C57BLPhenotypearseniteArsenitesArsenicDiabetesMicePreconception exposureTransgenerational

Identifiers

PMID37615676
PMCPMC10754030
OpenAlexW4386116865

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.