Evidence map›Paper›PMID 36048534›Full record

ArticleJCI insight2022

Metabolite profiling of CKD progression in the chronic renal insufficiency cohort study.

Donghai Wen, Zihe Zheng, Aditya Surapaneni, Bing Yu, Linda Zhou, Wen Zhou, Dawei Xie, Haochang Shou, Julian Avila-Pacheco, Sahir Kalim and 17 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 50 citations in OpenAlex.

  1. Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.Journal of the American Society of Nephrology : JASN · 2026
    Article
  2. 4-Ethyl phenyl sulfate binding to human serum albumin.Protein science : a publication of the Protein Society · 2026
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  3. Review
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  5. GPR183 contributes to renal macrophage infiltration and fibrosis in kidney injury.American journal of physiology. Renal physiology · 2026
    Article
  6. Article
  7. Lifestyles, metabolome and diabetic kidney disease: a cohort study.QJM : monthly journal of the Association of Physicians · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. A guide to uraemic toxicity.Nature reviews. Nephrology · 2026
    Review
  13. Article
  14. Observational
  15. Review
  16. Article
  17. Immunomodulatory Functions of Intercalated Cells in Kidney Autoimmunity.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 14 institutions in 1 country.

Donghai WenNephrology Division and.
Zihe ZhengDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aditya SurapaneniDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Bing YuDepartment of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, Texas, USA.
Linda ZhouDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Wen ZhouNephrology Division and.
Dawei XieDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Haochang ShouDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Julian Avila-PachecoBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Sahir KalimNephrology Division and.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Chi-Yuan HsuDivision of Nephrology, University of California San Francisco School of Medicine, San Francisco, California, USA.
Afshin ParsaDivision of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, Maryland, USA.
Panduranga RaoDivision of Nephrology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
James SondheimerDivision of Nephrology and Hypertension, Wayne State University School of Medicine, Detroit, Michigan, USA.
Raymond TownsendRenal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sushrut S WaikarSection of Nephrology, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts, USA.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Michelle R DenburgDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Paul L KimmelDivision of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, Maryland, USA.
Ramachandran S VasanDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Clary B ClishBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Harold I FeldmanDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Eugene P RheeNephrology Division and.
CKD Biomarkers Consortium and CRIC Study Investigators
Johns Hopkins University · USUniversity of Pennsylvania · USMassachusetts General Hospital · USBroad Institute · USNational Institute of Diabetes and Digestive and Kidney Diseases · USBoston Medical Center · USBoston University · USChildren's Hospital of Philadelphia · USKaiser Permanente · USPediatric Nephrology of Alabama · USThe University of Texas Health Science Center at Houston · USTulane University · USUniversity of Michigan · USWayne State University · US

Funding

Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Integrative Omics, Chronic Kidney Disease, and Adverse Outcomes in Older AdultsR01DK124399 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2020 to 2026
$3.6M
Chronic Kidney Disease Biomarkers Consortium (CKD BioCon) U01U01DK106982 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI DENBURG, MICHELLE, FURTH, SUSAN L. · 2015 to 2019
$817k
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
NHLBI NIH HHS K24 HL155861NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R01 DK124399NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U01 DK106982NIDDK NIH HHS U24 DK060990
6 · The paper itself

Abstract

BACKGROUNDMetabolomic profiling in individuals with chronic kidney disease (CKD) has the potential to identify novel biomarkers and provide insight into disease pathogenesis.METHODSWe examined the association between blood metabolites and CKD progression, defined as the subsequent development of end-stage renal disease (ESRD) or estimated glomerular filtrate rate (eGFR) halving, in 1,773 participants of the Chronic Renal Insufficiency Cohort (CRIC) study, 962 participants of the African-American Study of Kidney Disease and Hypertension (AASK), and 5,305 participants of the Atherosclerosis Risk in Communities (ARIC) study.RESULTSIn CRIC, more than half of the measured metabolites were associated with CKD progression in minimally adjusted Cox proportional hazards models, but the number and strength of associations were markedly attenuated by serial adjustment for covariates, particularly eGFR. Ten metabolites were significantly associated with CKD progression in fully adjusted models in CRIC; 3 of these metabolites were also significant in fully adjusted models in AASK and ARIC, highlighting potential markers of glomerular filtration (pseudouridine), histamine metabolism (methylimidazoleacetate), and azotemia (homocitrulline). Our findings also highlight N-acetylserine as a potential marker of kidney tubular function, with significant associations with CKD progression observed in CRIC and ARIC.CONCLUSIONOur findings demonstrate the application of metabolomics to identify potential biomarkers and causal pathways in CKD progression.FUNDINGThis study was supported by the NIH (U01 DK106981, U01 DK106982, U01 DK085689, R01 DK108803, and R01 DK124399).

Indexed as

PseudouridineRenal Insufficiency, ChronicBiomarkersCohort StudiesDisease ProgressionHistamineHumansProspective StudiesBiomarkersHistaminePseudouridineChronic kidney diseaseNephrology

Identifiers

PMID36048534
PMCPMC9714776
OpenAlexW4294052431

What Socratic holds

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LicenceCC BY
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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 Socratic graph.