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综合分析健康个体和急性胰腺炎后新发糖尿病/糖尿病患者的体成分和与胰内脂肪沉积相关的胰岛素特征。

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.

机构信息

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

出版信息

Diabetes Obes Metab. 2019 Feb;21(2):417-423. doi: 10.1111/dom.13523. Epub 2018 Oct 5.

DOI:10.1111/dom.13523
PMID:30187644
Abstract

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.

摘要

目前,关于胰腺内脂肪沉积(IFD)生物标志物的知识有限。我们旨在全面分析健康血糖正常个体以及急性胰腺炎后新发糖尿病前期或糖尿病个体(NODAP)中体成分和胰岛素特征作为 IFD 的生物标志物。共有 29 名健康个体和 34 名 NODAP 个体参与了这项横断面研究。所研究的生物标志物属于以下领域:体成分(人体测量学和 MRI 衍生变量);胰岛素分泌指数;胰岛素敏感性指数;肠降血糖素和相关肽;以及胰腺炎相关因素。所有 MRI 衍生变量(包括 IFD)均使用 ImageJ 软件进行测量。进行了单变量和逐步回归分析,以确定能最好地解释 IFD 方差的变量。在血糖正常的健康个体中,内脏脂肪体积和氧抑素是 IFD 的最佳生物标志物,可解释 64%的方差。Raynaud 指数是 NODAP 个体 IFD 的最佳生物标志物,可解释 20%的方差。需要进行纵向研究,以调查健康个体中氧抑素与 IFD 之间的因果关系,以及 NODAP 个体中胰岛素敏感性与 IFD 之间的因果关系。

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