Evidence map›Paper›PMID 33038424›Full record

ArticleKidney international2020

SARS-CoV-2 receptor networks in diabetic and COVID-19-associated kidney disease.

Rajasree Menon, Edgar A Otto, Rachel Sealfon, Viji Nair, Aaron K Wong, Chandra L Theesfeld, Xi Chen, Yuan Wang, Avinash S Boppana, Jinghui Luo and 22 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 5 institutions in 1 country.

Rajasree MenonDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Edgar A OttoDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Rachel SealfonCenter for Computational Biology, Flatiron Institute, New York, New York, USA.
Viji NairDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Aaron K WongCenter for Computational Biology, Flatiron Institute, New York, New York, USA.
Chandra L TheesfeldLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Xi ChenCenter for Computational Biology, Flatiron Institute, New York, New York, USA.
Yuan WangLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; Department of Computer Science, Princeton University, Princeton, New Jersey, USA.
Avinash S BoppanaDepartment of Computer Science, Princeton University, Princeton, New Jersey, USA.
Jinghui LuoDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Yingbao YangDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Peter M KassonDepartments of Molecular Physiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Jennifer A SchaubDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Celine C BerthierDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Sean EddyDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Chrysta C LienczewskiDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Bradley GodfreyDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Susan L DagenaisAdvanced Genomics Core, Biomedical Research Core Facility, University of Michigan, Ann Arbor, Michigan, USA.
Ryann SohaneyDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
John HartmanDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Damian FerminDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Lalita SubramanianDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Helen C LookerChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
Jennifer L HarderDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Laura H MarianiDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Jeffrey B HodginDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Jonathan Z SextonDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA.
Christiane E WobusDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Abhijit S NaikDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Robert G NelsonChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
Olga G TroyanskayaCenter 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.
Matthias KretzlerDepartment of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: kretzler@umich.edu.
University of Michigan · USPrinceton University · USFlatiron Health (United States) · USNational Institute of Diabetes and Digestive and Kidney Diseases · USUniversity of Virginia · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIPSON, DEBBIE S · 2009 to 2023
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C · 2008 to 2022
$12.9M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
RESEARCH TRAINING IN NEPHROLOGYT32DK007378 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 1986 to 2019
$5.9M
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)U01DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nir Hacohen, Jeffrey Benton Hodgin · 2022 to 2026
$3.2M
Spatial Metabolomics for Human KidneysUH3DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHARMA, KUMAR · 2019 to 2021
$2.7M
Intramural NIH HHS Z01 DK069062NCATS NIH HHS UL1 TR002240NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P60 DK020572NIDDK NIH HHS R24 DK082841NIDDK NIH HHS T32 DK007378NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U2C DK114886NIDDK NIH HHS U54 DK083912NIDDK NIH HHS UH3 DK114861NIDDK NIH HHS UH3 DK114866NIDDK NIH HHS UH3 DK114870NIDDK NIH HHS UH3 DK114907NIDDK NIH HHS UH3 DK114908NIDDK NIH HHS UH3 DK114915NIDDK NIH HHS UH3 DK114920NIDDK NIH HHS UH3 DK114923NIDDK NIH HHS UH3 DK114926NIDDK NIH HHS UH3 DK114933NIDDK NIH HHS UH3 DK114937
6 · The paper itself

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.

Indexed as

AdultAgedAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCase-Control StudiesCOVID-19Diabetic NephropathiesFemaleGene Expression ProfilingGene Regulatory NetworksHost-Pathogen InteractionsHumansKidney Tubules, ProximalMaleMiddle AgedACE2 protein, humanAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsACE inhibitorsacute kidney injuryCOVID-19diabetic nephropathymolecular networksproximal tubulesSARS-CoV-2scRNAseq

Identifiers

PMID33038424
PMCPMC7543950
OpenAlexW3092165380

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.