Proteins Associated with Risk of Kidney Function Decline in the General Population.


Journal

Journal of the American Society of Nephrology : JASN
ISSN: 1533-3450
Titre abrégé: J Am Soc Nephrol
Pays: United States
ID NLM: 9013836

Informations de publication

Date de publication:
09 2021
Historique:
received: 16 11 2020
accepted: 22 04 2021
entrez: 1 9 2021
pubmed: 2 9 2021
medline: 16 11 2021
Statut: ppublish

Résumé

Proteomic profiling may allow identification of plasma proteins that associate with subsequent changesin kidney function, elucidating biologic processes underlying the development and progression of CKD. We quantified the association between 4877 plasma proteins and a composite outcome of ESKD or decline in eGFR by ≥50% among 9406 participants in the Atherosclerosis Risk in Communities (ARIC) Study (visit 3; mean age, 60 years) who were followed for a median of 14.4 years. We performed separate analyses for these proteins in a subset of 4378 participants (visit 5), who were followed at a later time point, for a median of 4.4 years. For validation, we evaluated proteins with significant associations (false discovery rate <5%) in both time periods in 3249 participants in the Chronic Renal Insufficiency Cohort (CRIC) and 703 participants in the African American Study of Kidney Disease and Hypertension (AASK). We also compared the genetic determinants of protein levels with those from a meta-analysis genome-wide association study of eGFR. In models adjusted for multiple covariates, including baseline eGFR and albuminuria, we identified 13 distinct proteins that were significantly associated with the composite end point in both time periods, including TNF receptor superfamily members 1A and 1B, trefoil factor 3, and Large-scale proteomic analysis identified both known and novel proteomic risk factors for eGFR decline.

Sections du résumé

BACKGROUND
Proteomic profiling may allow identification of plasma proteins that associate with subsequent changesin kidney function, elucidating biologic processes underlying the development and progression of CKD.
METHODS
We quantified the association between 4877 plasma proteins and a composite outcome of ESKD or decline in eGFR by ≥50% among 9406 participants in the Atherosclerosis Risk in Communities (ARIC) Study (visit 3; mean age, 60 years) who were followed for a median of 14.4 years. We performed separate analyses for these proteins in a subset of 4378 participants (visit 5), who were followed at a later time point, for a median of 4.4 years. For validation, we evaluated proteins with significant associations (false discovery rate <5%) in both time periods in 3249 participants in the Chronic Renal Insufficiency Cohort (CRIC) and 703 participants in the African American Study of Kidney Disease and Hypertension (AASK). We also compared the genetic determinants of protein levels with those from a meta-analysis genome-wide association study of eGFR.
RESULTS
In models adjusted for multiple covariates, including baseline eGFR and albuminuria, we identified 13 distinct proteins that were significantly associated with the composite end point in both time periods, including TNF receptor superfamily members 1A and 1B, trefoil factor 3, and
CONCLUSIONS
Large-scale proteomic analysis identified both known and novel proteomic risk factors for eGFR decline.

Identifiants

pubmed: 34465608
pii: 00001751-202109000-00022
doi: 10.1681/ASN.2020111607
pmc: PMC8729856
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2291-2302

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000439
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000424
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002548
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061021
Pays : United States
Organisme : NIDDK NIH HHS
ID : U24 DK060990
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060963
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL086694
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG004402
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL134320
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060902
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM109036
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR025005
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060984
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK089174
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060980
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK119199
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL059367
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000003
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR016500
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060990
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK108803
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK124399
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024131
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK085689
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL087641
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061022
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000433
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR029879
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK106981
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061028
Pays : United States

Informations de copyright

Copyright © 2021 by the American Society of Nephrology.

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Auteurs

Morgan E Grams (ME)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Aditya Surapaneni (A)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Jingsha Chen (J)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Linda Zhou (L)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Zhi Yu (Z)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Diptavo Dutta (D)

Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Paul A Welling (PA)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Nilanjan Chatterjee (N)

Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Jingning Zhang (J)

Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Dan E Arking (DE)

McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Teresa K Chen (TK)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Casey M Rebholz (CM)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

Bing Yu (B)

Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, Texas.

Pascal Schlosser (P)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Eugene P Rhee (EP)

Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts.

Christie M Ballantyne (CM)

Department of Medicine, Baylor College of Medicine, Houston, Texas.

Eric Boerwinkle (E)

Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, Texas.
Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.

Pamela L Lutsey (PL)

Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota.

Thomas Mosley (T)

Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi.

Harold I Feldman (HI)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Ruth F Dubin (RF)

Department of Medicine, University of California San Francisco, San Francisco, California.

Peter Ganz (P)

Department of Medicine, University of California San Francisco, San Francisco, California.

Hongzhe Lee (H)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Zihe Zheng (Z)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Josef Coresh (J)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.

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