Molecular and Metabolic Analysis of Arsenic-Exposed Humanized AS3MT Mice.


Journal

Environmental health perspectives
ISSN: 1552-9924
Titre abrégé: Environ Health Perspect
Pays: United States
ID NLM: 0330411

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 27 12 2023
pubmed: 27 12 2023
entrez: 27 12 2023
Statut: ppublish

Résumé

Chronic exposure to inorganic arsenic (iAs) has been associated with type 2 diabetes (T2D). However, potential sex divergence and the underlying mechanisms remain understudied. iAs is not metabolized uniformly across species, which is a limitation of typical exposure studies in rodent models. The development of a new "humanized" mouse model overcomes this limitation. In this study, we leveraged this model to study sex differences in the context of iAs exposure. The aim of this study was to determine if males and females exhibit different liver and adipose molecular profiles and metabolic phenotypes in the context of iAs exposure. Our study was performed on wild-type (WT) 129S6/SvEvTac and humanized arsenic We detected sex divergence in liver and adipose markers of diabetes (e.g., miR-34a, insulin signaling pathways, fasting blood glucose, fasting plasma insulin, and HOMA-IR) only in humanized (not WT) mice. In humanized female mice, numerous genes that promote insulin sensitivity and glucose tolerance in both the liver and adipose are elevated compared to humanized male mice. We also identified Klf11 as a putative master regulator of the sex divergence in gene expression in humanized mice. Our study underscored the importance of future studies leveraging the humanized mouse model to study iAs-associated metabolic disease. The findings suggested that humanized males are at increased risk for metabolic dysfunction relative to humanized females in the context of iAs exposure. Future investigations should focus on the detailed mechanisms that underlie the sex divergence. https://doi.org/10.1289/EHP12785.

Sections du résumé

BACKGROUND UNASSIGNED
Chronic exposure to inorganic arsenic (iAs) has been associated with type 2 diabetes (T2D). However, potential sex divergence and the underlying mechanisms remain understudied. iAs is not metabolized uniformly across species, which is a limitation of typical exposure studies in rodent models. The development of a new "humanized" mouse model overcomes this limitation. In this study, we leveraged this model to study sex differences in the context of iAs exposure.
OBJECTIVES UNASSIGNED
The aim of this study was to determine if males and females exhibit different liver and adipose molecular profiles and metabolic phenotypes in the context of iAs exposure.
METHODS UNASSIGNED
Our study was performed on wild-type (WT) 129S6/SvEvTac and humanized arsenic
RESULTS UNASSIGNED
We detected sex divergence in liver and adipose markers of diabetes (e.g., miR-34a, insulin signaling pathways, fasting blood glucose, fasting plasma insulin, and HOMA-IR) only in humanized (not WT) mice. In humanized female mice, numerous genes that promote insulin sensitivity and glucose tolerance in both the liver and adipose are elevated compared to humanized male mice. We also identified Klf11 as a putative master regulator of the sex divergence in gene expression in humanized mice.
DISCUSSION UNASSIGNED
Our study underscored the importance of future studies leveraging the humanized mouse model to study iAs-associated metabolic disease. The findings suggested that humanized males are at increased risk for metabolic dysfunction relative to humanized females in the context of iAs exposure. Future investigations should focus on the detailed mechanisms that underlie the sex divergence. https://doi.org/10.1289/EHP12785.

Identifiants

pubmed: 38150313
doi: 10.1289/EHP12785
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127021

Auteurs

Jenna Todero (J)

Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Christelle Douillet (C)

Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.

Alexandria J Shumway (AJ)

Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Beverly H Koller (BH)

Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.

Matt Kanke (M)

Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Daryl J Phuong (DJ)

Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Miroslav Stýblo (M)

Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.

Praveen Sethupathy (P)

Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Classifications MeSH