International Journal of ObesityGenetic & Genomic MedicinePeer-reviewed journal article
ACE2 expression in adipose tissue is associated with COVID-19 cardio-metabolic risk factors and cell type composition
Julia S. El-Sayed MoustafaiD, Anne JacksoniD, Sarah M. BrotmaniD, Li GuaniD, Sergio VillicañaiD, Amy L. RobertsiD, Antonino ZitoiD, Lori L. BonnycastleiD, Michael R. ErdosiD, Narisu NarisuiD, Heather M. StringhamiD, Ryan WelchiD, Tingfen YaniD, Timo Antero LakkaiD, Stephen C.J. ParkeriD, Jaakko TuomilehtoiD, Jeffrey SeowiD, Carl Graham, Isabella Huettner, Sam AcorsiD, Neophytos KouphouiD, Samuel WadgeiD, Emma L. DuncaniD, Claire Joanne StevesiD, Katie J. DooresiD, , Kerrin S. SmalliD
Abstract
COVID-19 severity has varied widely, with demographic and cardio-metabolic factors increasing risk of severe reactions to SARS-CoV-2 infection, but the underlying mechanisms for this remain uncertain. We investigated phenotypic and genetic factors associated with subcutaneous adipose tissue expression of Angiotensin I Converting Enzyme 2 (ACE2), which has been shown to act as a receptor for SARS-CoV-2 cellular entry. In a meta-analysis of three independent studies including up to 1,471 participants, lower adipose tissue ACE2 expression was associated with adverse cardio-metabolic health indices including type 2 diabetes (T2D) and obesity status, higher serum fasting insulin and BMI, and lower serum HDL levels (P<5.32x10-4). ACE2 expression levels were also associated with estimated proportions of cell types in adipose tissue; lower ACE2 expression was associated with a lower proportion of microvascular endothelial cells (P=4.25x10-4) and higher macrophage proportion (P=2.74x10-5), suggesting a link to inflammation. Despite an estimated heritability of 32%, we did not identify any proximal or distal genetic variants (eQTLs) associated with adipose tissue ACE2 expression. Our results demonstrate that at-risk individuals have lower background ACE2 levels in this highly relevant tissue. Further studies will be required to establish how this may contribute to increased COVID-19 severity.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 48
- FWCI
- 1.27
- Field percentile
- top 20%
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