4.7 Article

Proteomic Profiles of Body Mass Index and Waist-to-Hip Ratio and Their Role in Incidence of Diabetes

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 107, 期 7, 页码 E2982-E2990

出版社

ENDOCRINE SOC
DOI: 10.1210/clinem/dgac140

关键词

body mass index; cohort; diabetes; proteomics; waist-to-hip ratio

资金

  1. Swedish Heart Lung foundation [20200173]
  2. National Natural Science Foundation of China [82100478]
  3. Natural Science Foundation of Jiangsu Province [BK20200128]
  4. Swedish Cancer Society
  5. Swedish Medical Research Council
  6. AFA insurance
  7. Albert Pahlsson Foundation
  8. Gunnar Nilsson Foundation
  9. Malmo city council
  10. Lund University [STYR 2019/2046]

向作者/读者索取更多资源

This study examines the differences in plasma proteomic profiles between body mass index (BMI) and waist-to-hip ratio (WHR), and their associations with the incidence of diabetes. It is found that WHR-specific proteins are associated with diabetes risk, while BMI-specific proteins are not.
Context It is unclear to what extent the plasma proteome of abdominal fat distribution differs from that of body mass index, and whether the differences have clinical implications. Objective To evaluate the difference between the plasma proteomic profiles of body mass index (BMI) and waist-to-hip ratio (WHR), and then examine the identified BMI- or WHR-specific proteins in relation to incidence of diabetes. Methods Data were obtained from the Malmo Diet and Cancer-Cardiovascular Cohort study in the general community. Participants (n = 4203) with no previous diabetes (aged 57.2 +/- 6.0 years, 37.8% men) were included. Plasma proteins (n = 136) were measured by the Proseek proximity extension method. BMI- and WHR-specific proteins were identified at baseline using a 2-step iterative resampling approach to optimize internal replicability followed by beta coefficient comparisons. The identified proteins were considered internally replicated and were then studied in relation to incident diabetes by Cox proportional hazards regression analysis. The main outcome measure was incident diabetes over a mean follow-up of 20.3 +/- 5.9 years. Results After excluding 21 overlapping proteins and proteins that did not show significantly different associations with BMI vs WHR, 10 internally replicated proteins were found to be specific to BMI, and 22 were found to be specific to WHR (false discovery rate-adjusted P < .05). Of the WHR-specific proteins, 18 remained associated with diabetes risk after multivariate adjustments, whereas none of the BMI-specific proteins showed associations with diabetes risk. Conclusion Abdominal fat distribution was associated with some unique characteristics of the plasma proteome that potentially could be related to its additional risk of diabetes beyond general obesity.

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