Comprehensive analysis of body composition and insulin traits associated with intra-pancreatic fat deposition in healthy individuals and people with new-onset prediabetes/diabetes after acute pancreatitis.


Journal

Diabetes, obesity & metabolism
ISSN: 1463-1326
Titre abrégé: Diabetes Obes Metab
Pays: England
ID NLM: 100883645

Informations de publication

Date de publication:
02 2019
Historique:
received: 03 07 2018
revised: 21 08 2018
accepted: 03 09 2018
pubmed: 7 9 2018
medline: 10 9 2019
entrez: 7 9 2018
Statut: ppublish

Résumé

Current knowledge of biomarkers of intra-pancreatic fat deposition (IFD) is limited. We aimed to analyse comprehensively body composition and insulin traits as biomarkers of IFD in healthy normoglycaemic individuals as well as in individuals with new-onset prediabetes or diabetes after acute pancreatitis (NODAP). A total of 29 healthy individuals and 34 individuals with NODAP took part in this cross-sectional study. The studied biomarkers belonged to the following domains: body composition (anthropometric and MRI-derived variables); indices of insulin secretion; indices of insulin sensitivity; incretins and related peptides; and pancreatitis-related factors. All MRI-derived variables (including IFD) were measured using ImageJ software. Univariate and step-wise regression analyses were conducted to determine variables that best explained variance in IFD. Visceral fat volume and oxyntomodulin were the best biomarkers of IFD in normoglycaemic healthy individuals, contributing to 64% variance. The Raynaud index was the best biomarker of IFD in individuals with NODAP, contributing to 20% variance. Longitudinal studies are warranted to investigate the cause and effect relationship between oxyntomodulin and IFD in healthy individuals, as well as insulin sensitivity and IFD in individuals with NODAP.

Identifiants

pubmed: 30187644
doi: 10.1111/dom.13523
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

417-423

Informations de copyright

© 2018 John Wiley & Sons Ltd.

Auteurs

Ruma G Singh (RG)

Department of Surgery, School of Medicine, University of Auckland, Auckland, New Zealand.

Ngoc N Nguyen (NN)

Department of Surgery, School of Medicine, University of Auckland, Auckland, New Zealand.

Steve V DeSouza (SV)

Department of Surgery, School of Medicine, University of Auckland, Auckland, New Zealand.

Sayali A Pendharkar (SA)

Department of Surgery, School of Medicine, University of Auckland, Auckland, New Zealand.

Maxim S Petrov (MS)

Department of Surgery, School of Medicine, University of Auckland, Auckland, New Zealand.

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Classifications MeSH