Urinary EGF and MCP-1 and risk of CKD after cardiac surgery.


Journal

JCI insight
ISSN: 2379-3708
Titre abrégé: JCI Insight
Pays: United States
ID NLM: 101676073

Informations de publication

Date de publication:
08 06 2021
Historique:
received: 25 01 2021
accepted: 05 05 2021
pubmed: 12 5 2021
medline: 15 2 2022
entrez: 11 5 2021
Statut: epublish

Résumé

BACKGROUNDAssessment of chronic kidney disease (CKD) risk after acute kidney injury (AKI) is based on limited markers primarily reflecting glomerular function. We evaluated markers of cell integrity (EGF) and inflammation (monocyte chemoattractant protein-1, MCP-1) for predicting long-term kidney outcomes after cardiac surgery.METHODSWe measured EGF and MCP-1 in postoperative urine samples from 865 adults who underwent cardiac surgery at 2 sites in Canada and the United States and assessed EGF and MCP-1's associations with the composite outcome of CKD incidence or progression. We used single-cell RNA-Seq (scRNA-Seq) of AKI patient biopsies to perform transcriptomic analysis of programs corregulated with the associated genes.RESULTSOver a median (IQR) follow-up of 5.8 (4.2-7.1) years, 266 (30.8%) patients developed the composite CKD outcome. Postoperatively, higher levels of urinary EGF were protective and higher levels of MCP-1 were associated with the composite CKD outcome (adjusted HR 0.83, 95% CI 0.73-0.95 and 1.10, 95% CI 1.00-1.21, respectively). Intrarenal scRNA-Seq transcriptomes in patients with AKI-defined cell populations revealed concordant changes in EGF and MCP-1 levels and underlying molecular processes associated with loss of EGF expression and gain of CCL2 (encoding MCP-1) expression.CONCLUSIONUrinary EGF and MCP-1 were each independently associated with CKD after cardiac surgery. These markers may serve as noninvasive indicators of tubular damage, supported by tissue transcriptomes, and provide an opportunity for novel interventions in cardiac surgery.TRIAL REGISTRATIONClinicalTrials.gov NCT00774137.FUNDINGThe NIH funded the TRIBE-AKI Consortium and Kidney Precision Medicine Project. Yale O'Brien Kidney Center, American Heart Association, Patterson Trust Fund, Dr. Adam Linton Chair in Kidney Health Analytics, Canadian Institutes of Health Research, ICES, Ontario Ministry of Health and Long-Term Care, Academic Medical Organization of Southwestern Ontario, Schulich School of Medicine & Dentistry, Western University, Lawson Health Research Institute, Chan Zuckerberg Initiative Human Cell Atlas Kidney Seed Network.

Identifiants

pubmed: 33974569
pii: 147464
doi: 10.1172/jci.insight.147464
pmc: PMC8262289
doi:
pii:

Substances chimiques

CCL2 protein, human 0
Chemokine CCL2 0
RNA, Messenger 0
Epidermal Growth Factor 62229-50-9

Banques de données

ClinicalTrials.gov
['NCT00774137']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK079310
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114908
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114920
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114861
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK115562
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114866
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114870
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK082185
Pays : United States
Organisme : ACL HHS
ID : U01OH011326
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK117065
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114933
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL085757
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114907
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114923
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK106962
Pays : United States
Organisme : NIDDK NIH HHS
ID : U2C DK114886
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007024
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114915
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114926
Pays : United States
Organisme : NIDDK NIH HHS
ID : UH3 DK114937
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK081943
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK128538
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK112258
Pays : United States
Organisme : NIDDK NIH HHS
ID : R21 DK113420
Pays : United States
Organisme : NIDDK NIH HHS
ID : K24 DK090203
Pays : United States

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Auteurs

Steven Menez (S)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Wenjun Ju (W)

Division of Nephrology, Department of Medicine, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.

Rajasree Menon (R)

Division of Nephrology, Department of Medicine, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.

Dennis G Moledina (DG)

Section of Nephrology and.
Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.

Heather Thiessen Philbrook (H)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Eric McArthur (E)

ICES, Ontario, Canada.

Yaqi Jia (Y)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Wassim Obeid (W)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Sherry G Mansour (SG)

Section of Nephrology and.
Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.

Jay L Koyner (JL)

Section of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois, USA.

Michael G Shlipak (MG)

Kidney Health Research Collaborative and Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, University of California San Francisco, San Francisco, California, USA.

Steven G Coca (SG)

Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Amit X Garg (AX)

ICES, Ontario, Canada.
Division of Nephrology, Department of Medicine, and.
Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Andrew S Bomback (AS)

Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.

John A Kellum (JA)

The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Matthias Kretzler (M)

Division of Nephrology, Department of Medicine, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.

Chirag R Parikh (CR)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

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Classifications MeSH