M
Martin Heni
Researcher at University of Tübingen
Publications - 221
Citations - 5979
Martin Heni is an academic researcher from University of Tübingen. The author has contributed to research in topics: Insulin & Type 2 diabetes. The author has an hindex of 39, co-authored 180 publications receiving 4458 citations. Previous affiliations of Martin Heni include University of Texas Health Science Center at Houston.
Papers
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Journal ArticleDOI
Brain Insulin Resistance at the Crossroads of Metabolic and Cognitive Disorders in Humans
Stephanie Kullmann,Martin Heni,Manfred Hallschmid,Andreas Fritsche,Hubert Preissl,Hans-Ulrich Häring +5 more
TL;DR: The most prominent factors associated with brain insulin resistance are elaborate, i.e., obesity, T2D, genes, maternal metabolism, normal aging, inflammation, and dementia, and on their roles regarding causes and consequences.
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The obese brain: Association of body mass index and insulin sensitivity with resting state network functional connectivity
Stephanie Kullmann,Martin Heni,Ralf Veit,Caroline Ketterer,Fritz Schick,Hans-Ulrich Häring,Andreas Fritsche,Hubert Preissl,Hubert Preissl +8 more
TL;DR: It is shown that obesity and insulin levels influence brain function during rest in networks supporting reward and food regulation, complement and expand previous functional neuroimaging findings.
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Pancreatic fat is negatively associated with insulin secretion in individuals with impaired fasting glucose and/or impaired glucose tolerance: a nuclear magnetic resonance study
Martin Heni,Jürgen Machann,Harald Staiger,Nina F. Schwenzer,Andreas Peter,Fritz Schick,Claus D. Claussen,Norbert Stefan,Hans-Ulrich Häring,Andreas Fritsche +9 more
TL;DR: The aim was to thoroughly quantify the fat content of pancreas sections (caput, corpus, and cauda) and to compare the impact of pancreatic, intrahepatic, and visceral fat on insulin secretion in humans.
Journal ArticleDOI
Impaired insulin action in the human brain: causes and metabolic consequences
TL;DR: A review of the effects of insulin in the brain in humans and possible future approaches to overcome brain insulin resistance and thereby prevent or treat obesity and type 2 diabetes mellitus are outlined in this paper.
Journal ArticleDOI
Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes.
Robert Wagner,Martin Heni,Adam G. Tabak,Adam G. Tabak,Jürgen Machann,Fritz Schick,Elko Randrianarisoa,Martin Hrabě de Angelis,Andreas L. Birkenfeld,Norbert Stefan,Andreas Peter,Hans-Ulrich Häring,Andreas Fritsche +12 more
TL;DR: In this article, the authors used partitioning on variables derived from oral glucose tolerance tests, MRI-measured body fat distribution, liver fat content and genetic risk in a cohort of extensively phenotyped individuals who are at increased risk for type 2 diabetes.