Plasma neuronal growth regulator 1 may link physical activity to reduced risk of type 2 diabetes: a proteome-wide study of ARIC participants.


Journal

Diabetes
ISSN: 1939-327X
Titre abrégé: Diabetes
Pays: United States
ID NLM: 0372763

Informations de publication

Date de publication:
07 Nov 2023
Historique:
received: 25 09 2023
accepted: 26 10 2023
medline: 7 11 2023
pubmed: 7 11 2023
entrez: 7 11 2023
Statut: aheadofprint

Résumé

Habitual physical activity (PA) impacts the plasma proteome and reduces the risk of developing type 2 diabetes (T2D). Using a large-scale proteome-wide approach in Atherosclerosis Risk in Communities Study participants, we aimed to identify plasma proteins associated with PA and determine which of these may be causally related to lower T2D risk. PA was associated with 92 plasma proteins in discovery (p<1.01x10-5), and 40 remained significant in replication (p<5.43x10-4). Eighteen of these proteins were independently associated with incident T2D (p<1.25x10-3) including neuronal growth regulator 1 (NeGR1) (HR per SD: 0.85; p-value=7.5x10-11). Two-sample Mendelian randomization inverse variance weighted analysis indicated that higher NeGR1 reduces T2D risk (OR per SD: 0.92; p=0.03) and was consistent with MR-Egger, weighted median, and weighted mode sensitivity analyses. A stronger association was observed for the single cis-acting NeGR1 genetic variant (OR per SD: 0.80; p=6.3x10-5). Coupled with previous evidence that low circulating NeGR1 levels promote adiposity, its association with PA and potential causal role in T2D shown here suggest that NeGR1 may link PA exposure with metabolic outcomes. Further research is warranted to confirm our findings and examine the interplay of PA, NeGR1, adiposity, and metabolic health.

Identifiants

pubmed: 37935012
pii: 153836
doi: 10.2337/db23-0383
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 by the American Diabetes Association.

Auteurs

Brian T Steffen (BT)

Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.

Daniel J McDonough (DJ)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

James S Pankow (JS)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Weihong Tang (W)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Mary R Rooney (MR)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA.

Ryan T Demmer (RT)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.

Pamela L Lutsey (PL)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Weihua Guan (W)

Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Kelley Pettee Gabriel (KP)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

Priya Palta (P)

Department of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA.

Ethan D Moser (ED)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Mark A Pereira (MA)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Classifications MeSH