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SARS-CoV-2 receptor networks in diabetic and COVID-19-associated kidney disease.
Menon, Rajasree; Otto, Edgar A; Sealfon, Rachel; Nair, Viji; Wong, Aaron K; Theesfeld, Chandra L; Chen, Xi; Wang, Yuan; Boppana, Avinash S; Luo, Jinghui; Yang, Yingbao; Kasson, Peter M; Schaub, Jennifer A; Berthier, Celine C; Eddy, Sean; Lienczewski, Chrysta C; Godfrey, Bradley; Dagenais, Susan L; Sohaney, Ryann; Hartman, John; Fermin, Damian; Subramanian, Lalita; Looker, Helen C; Harder, Jennifer L; Mariani, Laura H; Hodgin, Jeffrey B; Sexton, Jonathan Z; Wobus, Christiane E; Naik, Abhijit S; Nelson, Robert G; Troyanskaya, Olga G; Kretzler, Matthias.
  • Menon R; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
  • Otto EA; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Sealfon R; Center for Computational Biology, Flatiron Institute, New York, New York, USA.
  • Nair V; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Wong AK; Center for Computational Biology, Flatiron Institute, New York, New York, USA.
  • Theesfeld CL; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
  • Chen X; Center for Computational Biology, Flatiron Institute, New York, New York, USA.
  • Wang Y; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; Department of Computer Science, Princeton University, Princeton, New Jersey, USA.
  • Boppana AS; Department of Computer Science, Princeton University, Princeton, New Jersey, USA.
  • Luo J; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Yang Y; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Kasson PM; Departments of Molecular Physiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
  • Schaub JA; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Berthier CC; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Eddy S; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Lienczewski CC; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Godfrey B; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Dagenais SL; Advanced Genomics Core, Biomedical Research Core Facility, University of Michigan, Ann Arbor, Michigan, USA.
  • Sohaney R; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Hartman J; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Fermin D; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Subramanian L; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Looker HC; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
  • Harder JL; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Mariani LH; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Hodgin JB; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Sexton JZ; Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA.
  • Wobus CE; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
  • Naik AS; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Nelson RG; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
  • Troyanskaya OG; Center for Computational Biology, Flatiron Institute, New York, New York, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; Department of Computer Science, Princeton University, Princeton, New Jersey, USA. Electronic address: ogt@cs.princeton.edu
  • Kretzler M; Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: kretzler@umich.edu.
Kidney Int ; 98(6): 1502-1518, 2020 12.
Article in English | MEDLINE | ID: covidwho-1023697
ABSTRACT
COVID-19 morbidity and mortality are increased via unknown mechanisms in patients with diabetes and kidney disease. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into host cells. Because ACE2 is a susceptibility factor for infection, we investigated how diabetic kidney disease and medications alter ACE2 receptor expression in kidneys. Single cell RNA profiling of kidney biopsies from healthy living donors and patients with diabetic kidney disease revealed ACE2 expression primarily in proximal tubular epithelial cells. This cell-specific localization was confirmed by in situ hybridization. ACE2 expression levels were unaltered by exposures to renin-angiotensin-aldosterone system inhibitors in diabetic kidney disease. Bayesian integrative analysis of a large compendium of public -omics datasets identified molecular network modules induced in ACE2-expressing proximal tubular epithelial cells in diabetic kidney disease (searchable at hb.flatironinstitute.org/covid-kidney) that were linked to viral entry, immune activation, endomembrane reorganization, and RNA processing. The diabetic kidney disease ACE2-positive proximal tubular epithelial cell module overlapped with expression patterns seen in SARS-CoV-2-infected cells. Similar cellular programs were seen in ACE2-positive proximal tubular epithelial cells obtained from urine samples of 13 hospitalized patients with COVID-19, suggesting a consistent ACE2-coregulated proximal tubular epithelial cell expression program that may interact with the SARS-CoV-2 infection processes. Thus SARS-CoV-2 receptor networks can seed further research into risk stratification and therapeutic strategies for COVID-19-related kidney damage.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetic Nephropathies / Angiotensin-Converting Enzyme 2 / SARS-CoV-2 / COVID-19 / Kidney Tubules, Proximal Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Kidney Int Year: 2020 Document Type: Article Affiliation country: J.kint.2020.09.015

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetic Nephropathies / Angiotensin-Converting Enzyme 2 / SARS-CoV-2 / COVID-19 / Kidney Tubules, Proximal Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Kidney Int Year: 2020 Document Type: Article Affiliation country: J.kint.2020.09.015