Open Access Green as soon as Postprint is submitted to ZB.
Phenotypes of prediabetes and stratification of cardiometabolic risk.
Lancet Diabet. Endocrinol. 4, 789-798 (2016)
Prediabetes is associated with increased risks of type 2 diabetes, cardiovascular disease, dementia, and cancer, and its prevalence is increasing worldwide. Lifestyle and pharmacological interventions in people with prediabetes can prevent the development of diabetes and possibly cardiovascular disease. However, prediabetes is a highly heterogeneous metabolic state, both with respect to its pathogenesis and prediction of disease. Improved understanding of these features and precise phenotyping of prediabetes could help to improve stratification of disease risk. In this Personal View, we focus on the extreme metabolic phenotypes of metabolically healthy obesity and metabolically unhealthy normal weight, insulin secretion failure, insulin resistance, visceral obesity, and non-alcoholic fatty liver disease. We present new analyses aimed at improving characterisation of phenotypes in lean, overweight, and obese people with prediabetes. We discuss evidence from lifestyle intervention studies to explore whether these phenotypes can also be used for individualised prediction and prevention of cardiometabolic diseases.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
16.320
4.364
111
125
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Impaired Glucose-tolerance; Life-style Intervention; Type-2 Diabetes-mellitus; Fatty Liver-disease; Insulin Secretory Dysfunction; Whitehall Ii Cohort; Post-hoc Analysis; Metabolically Healthy; Cardiovascular-disease; Follow-up
Language
Publication Year
2016
HGF-reported in Year
2016
ISSN (print) / ISBN
2213-8587
e-ISSN
2213-8595
Quellenangaben
Volume: 4,
Issue: 9,
Pages: 789-798
Publisher
Elsevier
Publishing Place
New York
Reviewing status
Peer reviewed
POF-Topic(s)
90000 - German Center for Diabetes Research
Research field(s)
Helmholtz Diabetes Center
PSP Element(s)
G-502400-002
G-502400-001
G-502400-001
WOS ID
WOS:000385844300028
PubMed ID
27185609
Erfassungsdatum
2016-05-20