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ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition-implications for COVID-19.
El-Sayed Moustafa, Julia S; Jackson, Anne U; Brotman, Sarah M; Guan, Li; Villicaña, Sergio; Roberts, Amy L; Zito, Antonino; Bonnycastle, Lori; Erdos, Michael R; Narisu, Narisu; Stringham, Heather M; Welch, Ryan; Yan, Tingfen; Lakka, Timo; Parker, Stephen; Tuomilehto, Jaakko; Seow, Jeffrey; Graham, Carl; Huettner, Isabella; Acors, Sam; Kouphou, Neophytos; Wadge, Samuel; Duncan, Emma L; Steves, Claire J; Doores, Katie J; Malim, Michael H; Collins, Francis S; Pajukanta, Päivi; Boehnke, Michael; Koistinen, Heikki A; Laakso, Markku; Falchi, Mario; Bell, Jordana T; Scott, Laura J; Mohlke, Karen L; Small, Kerrin S.
  • El-Sayed Moustafa JS; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. julia.el-sayed_moustafa@kcl.ac.uk.
  • Jackson AU; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Brotman SM; Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
  • Guan L; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Villicaña S; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Roberts AL; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Zito A; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Bonnycastle L; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
  • Erdos MR; Department of Genetics, Harvard Medical School, Boston, MA, 02114, USA.
  • Narisu N; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Stringham HM; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Welch R; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Yan T; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Lakka T; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Parker S; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Tuomilehto J; Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio, Finland.
  • Seow J; Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.
  • Graham C; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland.
  • Huettner I; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Acors S; University of Helsinki and Department of Medicine, Helsinki University Hospital, Helsinki, Finland.
  • Kouphou N; Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Wadge S; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Duncan EL; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Steves CJ; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Doores KJ; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Malim MH; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Collins FS; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Pajukanta P; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Boehnke M; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Koistinen HA; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Laakso M; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Falchi M; Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
  • Bell JT; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Scott LJ; Department of Human Genetics and Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Mohlke KL; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Small KS; University of Helsinki and Department of Medicine, Helsinki University Hospital, Helsinki, Finland.
Int J Obes (Lond) ; 46(8): 1478-1486, 2022 08.
Article Dans Anglais | MEDLINE | ID: covidwho-1852402
ABSTRACT

BACKGROUND:

COVID-19 severity varies widely. Although some demographic and cardio-metabolic factors, including age and obesity, are associated with increasing risk of severe illness, the underlying mechanism(s) are uncertain. SUBJECTS/

METHODS:

In a meta-analysis of three independent studies of 1471 participants in total, we investigated phenotypic and genetic factors associated with subcutaneous adipose tissue expression of Angiotensin I Converting Enzyme 2 (ACE2), measured by RNA-Seq, which acts as a receptor for SARS-CoV-2 cellular entry.

RESULTS:

Lower adipose tissue ACE2 expression was associated with multiple adverse cardio-metabolic health indices, including type 2 diabetes (T2D) (P = 9.14 × 10-6), obesity status (P = 4.81 × 10-5), higher serum fasting insulin (P = 5.32 × 10-4), BMI (P = 3.94 × 10-4), and lower serum HDL levels (P = 1.92 × 10-7). ACE2 expression was also associated with estimated proportions of cell types in adipose tissue lower expression was associated with a lower proportion of microvascular endothelial cells (P = 4.25 × 10-4) and higher proportion of macrophages (P = 2.74 × 10-5). Despite an estimated heritability of 32%, we did not identify any proximal or distal expression quantitative trait loci (eQTLs) associated with adipose tissue ACE2 expression.

CONCLUSIONS:

Our results demonstrate that individuals with cardio-metabolic features known to increase risk of severe COVID-19 have lower background ACE2 levels in this highly relevant tissue. Reduced adipose tissue ACE2 expression may contribute to the pathophysiology of cardio-metabolic diseases, as well as the associated increased risk of severe COVID-19.
Sujets)

Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: Tissu adipeux / Angiotensin-converting enzyme 2 / COVID-19 Type d'étude: Étude pronostique / Révision Les sujets: Covid long Limites du sujet: Humains langue: Anglais Revue: Int J Obes (Lond) Thème du journal: Métabolisme Année: 2022 Type de document: Article Pays d'affiliation: S41366-022-01136-w

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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: Tissu adipeux / Angiotensin-converting enzyme 2 / COVID-19 Type d'étude: Étude pronostique / Révision Les sujets: Covid long Limites du sujet: Humains langue: Anglais Revue: Int J Obes (Lond) Thème du journal: Métabolisme Année: 2022 Type de document: Article Pays d'affiliation: S41366-022-01136-w