Systematic Review and Meta-Analysis of Plasma and Urine Biomarkers for CKD Outcomes.


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 2022
Historique:
received: 22 01 2022
accepted: 02 06 2022
pubmed: 21 7 2022
medline: 19 1 2023
entrez: 20 7 2022
Statut: ppublish

Résumé

Sensitive and specific biomarkers are needed to provide better biologic insight into the risk of incident and progressive CKD. However, studies have been limited by sample size and design heterogeneity. In this assessment of the prognostic value of preclinical plasma and urine biomarkers for CKD outcomes, we searched Embase (Ovid), MEDLINE ALL (Ovid), and Scopus up to November 30, 2020, for studies exploring the association between baseline kidney biomarkers and CKD outcomes (incident CKD, CKD progression, or incident ESKD). We used random-effects meta-analysis. After screening 26,456 abstracts and 352 full-text articles, we included 129 studies in the meta-analysis for the most frequently studied plasma biomarkers (TNFR1, FGF23, TNFR2, KIM-1, suPAR, and others) and urine biomarkers (KIM-1, NGAL, and others). For the most frequently studied plasma biomarkers, pooled RRs for CKD outcomes were 2.17 (95% confidence interval [95% CI], 1.91 to 2.47) for TNFR1 (31 studies); 1.21 (95% CI, 1.15 to 1.28) for FGF-23 (30 studies); 2.07 (95% CI, 1.82 to 2.34) for TNFR2 (23 studies); 1.51 (95% CI, 1.38 to 1.66) for KIM-1 (18 studies); and 1.42 (95% CI, 1.30 to 1.55) for suPAR (12 studies). For the most frequently studied urine biomarkers, pooled RRs were 1.10 (95% CI, 1.05 to 1.16) for KIM-1 (19 studies) and 1.12 (95% CI, 1.06 to 1.19) for NGAL (19 studies). Studies of preclinical biomarkers for CKD outcomes have considerable heterogeneity across study cohorts and designs, limiting comparisons of prognostic performance across studies. Plasma TNFR1, FGF23, TNFR2, KIM-1, and suPAR were among the most frequently investigated in the setting of CKD outcomes.

Sections du résumé

BACKGROUND
Sensitive and specific biomarkers are needed to provide better biologic insight into the risk of incident and progressive CKD. However, studies have been limited by sample size and design heterogeneity.
METHODS
In this assessment of the prognostic value of preclinical plasma and urine biomarkers for CKD outcomes, we searched Embase (Ovid), MEDLINE ALL (Ovid), and Scopus up to November 30, 2020, for studies exploring the association between baseline kidney biomarkers and CKD outcomes (incident CKD, CKD progression, or incident ESKD). We used random-effects meta-analysis.
RESULTS
After screening 26,456 abstracts and 352 full-text articles, we included 129 studies in the meta-analysis for the most frequently studied plasma biomarkers (TNFR1, FGF23, TNFR2, KIM-1, suPAR, and others) and urine biomarkers (KIM-1, NGAL, and others). For the most frequently studied plasma biomarkers, pooled RRs for CKD outcomes were 2.17 (95% confidence interval [95% CI], 1.91 to 2.47) for TNFR1 (31 studies); 1.21 (95% CI, 1.15 to 1.28) for FGF-23 (30 studies); 2.07 (95% CI, 1.82 to 2.34) for TNFR2 (23 studies); 1.51 (95% CI, 1.38 to 1.66) for KIM-1 (18 studies); and 1.42 (95% CI, 1.30 to 1.55) for suPAR (12 studies). For the most frequently studied urine biomarkers, pooled RRs were 1.10 (95% CI, 1.05 to 1.16) for KIM-1 (19 studies) and 1.12 (95% CI, 1.06 to 1.19) for NGAL (19 studies).
CONCLUSIONS
Studies of preclinical biomarkers for CKD outcomes have considerable heterogeneity across study cohorts and designs, limiting comparisons of prognostic performance across studies. Plasma TNFR1, FGF23, TNFR2, KIM-1, and suPAR were among the most frequently investigated in the setting of CKD outcomes.

Identifiants

pubmed: 35858701
pii: 00001751-202209000-00010
doi: 10.1681/ASN.2022010098
pmc: PMC9529190
doi:

Substances chimiques

Lipocalin-2 0
Receptors, Tumor Necrosis Factor, Type I 0
Receptors, Tumor Necrosis Factor, Type II 0
Receptors, Urokinase Plasminogen Activator 0
Biomarkers 0

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1657-1672

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK128538
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK096549
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK115562
Pays : United States

Informations de copyright

Copyright © 2022 by the American Society of Nephrology.

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Auteurs

Caroline Liu (C)

Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York.

Neha Debnath (N)

Department of Medicine, Icahn School of Medicine at Mount Sinai (Morningside/West), New York, New York.

Gohar Mosoyan (G)

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

Kinsuk Chauhan (K)

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

George Vasquez-Rios (G)

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

Celine Soudant (C)

Division of Technology, Memorial Sloan Kettering Cancer Center Medical Library, New York, New York.

Steve Menez (S)

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

Chirag R Parikh (CR)

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

Steven G Coca (SG)

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

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