Evidence map›Paper›PMID 41325160›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2026

Proteomic Markers of Dietary Patterns, CKD Progression, and Mortality in the CRIC Study.

Valerie K Sullivan, Jingsha Chen, Lawrence J Appel, Sarah Schrauben, Ana C Ricardo, Panduranga Rao, Mirela Dobre, Nishigandha Pradhan, Jing Chen, Jiang He and 4 more

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Valerie K SullivanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-2321-0188
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Lawrence J AppelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-0673-6823
Sarah SchraubenDepartments of Medicine and Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-2557-5161
Ana C RicardoDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, Illinois.ORCID 0000-0001-8670-3644
Panduranga RaoDivision of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-4699-5395
Mirela DobreDivision of Nephrology and Hypertension, University Hospital Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0002-9059-9998
Nishigandha PradhanDivision of Nephrology and Hypertension, University Hospital Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio.
Jing ChenDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-9035-9126
Jiang HeDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-8286-9652
Hernan Rincon-CholesDepartment of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio.ORCID 0000-0003-3559-4374
Paul L KimmelDepartment of Medicine, George Washington University, Washington, DC.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-5442-8745
CRIC Study Investigators*

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Johns Hopkins Institute for Clinical and Translational ResearchUM1TR004926 · NCATS · JOHNS HOPKINS UNIVERSITY · PI STEPHEN N. DAVIS, Daniel Ernest Ford · 2024 to 2026
$28.5M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
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
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI WATSON, DOUGLAS · 2002 to 2009
$20.2M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Johns Hopkins University UL1 TR-000424Kaiser Permanente NIH/NCRR UCSF-CTSI UL1 RR-024131Michigan Institute for Clinical and Health Research UL1TR000433NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1TR000003, UL1TR000439, 1UM1TR004926NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UM1 TR004926NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NHLBI NIH HHS R01 HL153178NIDDK NIH HHS R01 DK119199NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U01 DK108809NIDDK NIH HHS U01DK108809, U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, U01DK060902 and U24DK060990NIDDK NIH HHS U24 DK060990NIDDK NIH HHS U54 DK137331NIGMS NIH HHS P20 GM109036School of Medicine, University of New Mexico NM R01DK119199University of Illinois at Chicago CTSA UL1RR029879University of Maryland GCRC M01 RR-16500
6 · The paper itself

Abstract

key pointsUsing untargeted proteomics, we identified 199 plasma protein markers of four healthy dietary patterns in adults with CKD. Twenty-one diet-related proteins were associated with CKD progression and 30 proteins were associated with all-cause mortality. These proteins may represent biologic mechanisms through which diet modifies disease course in CKD.

backgroundHealthy dietary patterns reduce the risk of CKD progression and mortality in people with CKD. Identifying protein biomarkers of diet, and their associations with these outcomes, can elucidate biologic mechanisms through which diet improves prognosis.

methodsUsing data from the Chronic Renal Insufficiency Cohort study of adults with CKD ( n =2217, mean age 59 years), we examined cross-sectional associations between 4954 plasma proteins and four dietary patterns: Healthy Eating Index-2020, Alternative Healthy Eating Index-2010, Dietary Approaches to Stop Hypertension, and alternate Mediterranean diet. Relative values of proteins were determined using an aptamer-based assay. Dietary intake was assessed using a food frequency questionnaire. We used multivariable linear regression to identify proteins associated with diet, and Cox proportional hazards regression to assess longitudinal associations between diet-related proteins, CKD progression, and mortality. Elastic net regression was used to select subsets of proteins that are associated with these outcomes.

resultsAt a false discovery rate-adjusted P < 0.05, 199 proteins were associated with ≥1 dietary pattern and 18 were associated with all patterns. Over 7 years of median follow-up, 824 CKD progression events occurred. Twenty-one proteins were associated with CKD progression at P < 2.5×10 -4 (=0.05/199), of which eight were selected in elastic net regression: follistatin-related protein 3, glutaredoxin-1, asialoglycoprotein receptor 1, extracellular superoxide dismutase [Cu-Zn], zinc- α -2-glycoprotein, IL-18 receptor 1, ecto-ADP-ribosyltransferase 3, and ephrin type-A receptor 1. All were inversely associated with healthy dietary patterns and associated with higher risk of CKD progression. Thirty proteins were associated with all-cause mortality, of which 14 were selected by elastic net regression.

conclusionsLarge-scale proteomics analyses identified potential protein biomarkers of healthy dietary patterns that were associated with CKD progression and mortality in adults with CKD. Their functions, including regulating blood lipids, insulin sensitivity, vascular homeostasis, inflammation, and oxidative stress, may represent mechanisms through which diet improves disease course.

Indexed as

Blood ProteinsDiet, HealthyProteomicsRenal Insufficiency, ChronicAgedBiomarkersCross-Sectional StudiesDietary Approaches To Stop HypertensionDiet, MediterraneanDisease ProgressionFemaleHumansMaleMiddle AgedBiomarkersBlood Proteinsnutritionprogression of renal failureproteomics

Identifiers

PMID41325160
PMCPMC13024324

What Socratic holds

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Registered trials

None linked

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.