Fat Distribution Patterns and Future Type 2 Diabetes

Author:

Yamazaki Hajime1ORCID,Tauchi Shinichi2,Machann Jürgen345,Haueise Tobias345,Yamamoto Yosuke6,Dohke Mitsuru7,Hanawa Nagisa7,Kodama Yoshihisa8,Katanuma Akio9,Stefan Norbert4510ORCID,Fritsche Andreas4510ORCID,Birkenfeld Andreas L.4510ORCID,Wagner Róbert45101112ORCID,Heni Martin45101314ORCID

Affiliation:

1. 1Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan

2. 2Department of Radiology, Keijinkai Maruyama Clinic, Sapporo, Japan

3. 3Section on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany

4. 4German Center for Diabetes Research (DZD), Neuherberg, Germany

5. 5Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany

6. 6Department of Healthcare Epidemiology, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan

7. 7Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan

8. 8Department of Radiology, Teine Keijinkai Hospital, Sapporo, Japan

9. 9Center for Gastroenterology, Teine Keijinkai Hospital, Sapporo, Japan

10. 10Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany

11. 11German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany

12. 12Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany

13. 13Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany

14. 14Department of Internal Medicine I, University of Ulm, Ulm, Germany

Abstract

Fat accumulation in the liver, pancreas, skeletal muscle, and visceral bed relates to type 2 diabetes (T2D). However, the distribution of fat among these compartments is heterogenous and whether specific distribution patterns indicate high T2D risk is unclear. We therefore investigated fat distribution patterns and their link to future T2D. From 2,168 individuals without diabetes who underwent computed tomography in Japan, this case-cohort study included 658 randomly selected individuals and 146 incident cases of T2D over 6 years of follow-up. Using data-driven analysis (k-means) based on fat content in the liver, pancreas, muscle, and visceral bed, we identified four fat distribution clusters: hepatic steatosis, pancreatic steatosis, trunk myosteatosis, and steatopenia. In comparisons with the steatopenia cluster, the adjusted hazard ratios for incident T2D were 4.02 (95% CI 2.27–7.12) for the hepatic steatosis cluster, 3.38 (1.65–6.91) for the pancreatic steatosis cluster, and 1.95 (1.07–3.54) for the trunk myosteatosis cluster. The clusters were replicated in 319 German individuals without diabetes who underwent MRI and metabolic phenotyping. The distribution of the glucose area under the curve across the four clusters found in Germany was similar to the distribution of T2D risk across the four clusters in Japan. Insulin sensitivity and insulin secretion differed across the four clusters. Thus, we identified patterns of fat distribution with different T2D risks presumably due to differences in insulin sensitivity and insulin secretion.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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