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.
Acute Disease
Adiposity
/ physiology
Adult
Age of Onset
Body Composition
/ physiology
Cross-Sectional Studies
Diabetes Complications
/ metabolism
Diabetes Mellitus
/ epidemiology
Female
Healthy Volunteers
Humans
Insulin Resistance
Intra-Abdominal Fat
/ pathology
Lipid Metabolism
/ physiology
Longitudinal Studies
Magnetic Resonance Imaging
Male
Pancreas
/ diagnostic imaging
Pancreatitis
/ diagnosis
Prediabetic State
/ complications
acute pancreatitis
body composition
diabetes
insulin sensitivity
intra-pancreatic fat
oxyntomodulin
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
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.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
417-423Informations de copyright
© 2018 John Wiley & Sons Ltd.