The subcutaneous adipose transcriptome identifies a molecular signature of insulin resistance shared with visceral adipose

Author:

Mashayekhi Mona1ORCID,Sheng Quanhu2ORCID,Bailin Samuel S.3,Massier Lucas4,Zhong Jiawei4ORCID,Shi Mingjian5,Wanjalla Celestine N.3,Wang Thomas J.6,Ikizler T. Alp78,Niswender Kevin D.18,Gabriel Curtis L.9,Palacios Julia1,Turgeon‐Jones Rachel1,Reynolds Cassandra F.10,Luther James M.711,Brown Nancy J.12,Das Saumya13,Dahlman Ingrid14,Mosley Jonathan D.11,Koethe John R.38,Rydén Mikael4,Bachmann Katherine N.18,Shah Ravi V.10

Affiliation:

1. Division of Diabetes, Endocrinology and Metabolism, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

2. Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee USA

3. Division of Infectious Disease, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

4. Department of Medicine Karolinska Institutet Huddinge Sweden

5. Department of Biomedical Informatics Vanderbilt University Medical Center Nashville Tennessee USA

6. Department of Internal Medicine UT Southwestern Medical Center Dallas Texas USA

7. Division of Nephrology and Hypertension, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

8. Veterans Health Administration, Tennessee Valley Healthcare System Nashville Tennessee USA

9. Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

10. Division of Cardiology Vanderbilt Translational and Clinical Cardiovascular Research Center Nashville Tennessee USA

11. Division of Clinical Pharmacology, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

12. Yale School of Medicine New Haven Connecticut USA

13. Cardiology Division Massachusetts General Hospital Boston Massachusetts USA

14. Department of Clinical Science and Education Karolinska Institutet Stockholm Sweden

Abstract

AbstractObjectiveThe objective of this study was to identify the transcriptional landscape of insulin resistance (IR) in subcutaneous adipose tissue (SAT) in humans across the spectrum of obesity.MethodsWe used SAT RNA sequencing in 220 individuals with metabolic phenotyping.ResultsWe identified a 35‐gene signature with high predictive accuracy for homeostatic model of IR that was expressed across a variety of non‐immune cell populations. We observed primarily “protective” IR associations for adipocyte transcripts and “deleterious” associations for macrophage transcripts, as well as a high concordance between SAT and visceral adipose tissue (VAT). Multiple SAT genes exhibited dynamic expression 5 years after weight loss surgery and with insulin stimulation. Using available expression quantitative trait loci in SAT and/or VAT, we demonstrated similar genetic effect sizes of SAT and VAT on type 2 diabetes and BMI.ConclusionsSAT is conventionally viewed as a metabolic buffer for lipid deposition during positive energy balance, whereas VAT is viewed as a dominant contributor to and prime mediator of IR and cardiometabolic disease risk. Our results implicate a dynamic transcriptional architecture of IR that resides in both immune and non‐immune populations in SAT and is shared with VAT, nuancing the current VAT‐centric concept of IR in humans.

Funder

U.S. Department of Veterans Affairs

Burroughs Wellcome Fund

American Heart Association

Doris Duke Charitable Foundation

National Institute of Diabetes and Digestive and Kidney Diseases

National Center for Advancing Translational Sciences

National Heart, Lung, and Blood Institute

National Institute of Allergy and Infectious Diseases

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3