Evidence map›Paper›PMID 37076045›Full record

ArticleMolecular & cellular proteomics : MCP2023

Proteomics: Progress and Promise of High-Throughput Proteomics in Chronic Kidney Disease.

Pascal Schlosser, Morgan E Grams, Eugene P Rhee

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.4field-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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.Journal of the American Society of Nephrology : JASN · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Clinical Proteomics: A Promise Becoming Reality.Molecular & cellular proteomics : MCP · 2024
    Article
  17. Identification of Immune-Related Genes as Biomarkers for Uremia.International journal of general medicine · 2023
    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

3 authors at 3 institutions in 1 country.

Pascal SchlosserDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. Electronic address: pschlos3@jhu.edu.
Morgan E GramsDivision of Precision Medicine, Department of Medicine, New York University, New York, New York, USA.
Eugene P RheeNephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Johns Hopkins University · USMassachusetts General Hospital · USNew York University · US

Funding

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
Metabolomics of Uremic Symptoms in Dialysis PatientsR01NR017399 · NINR · MASSACHUSETTS GENERAL HOSPITAL · PI RHEE, EUGENE P., SHAFI, TARIQ · 2018 to 2023
$2.8M
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 DK124399NINR NIH HHS R01 NR017399
6 · The paper itself

Abstract

Current proteomic tools permit the high-throughput analysis of the blood proteome in large cohorts, including those enriched for chronic kidney disease (CKD) or its risk factors. To date, these studies have identified numerous proteins associated with cross-sectional measures of kidney function, as well as with the longitudinal risk of CKD progression. Representative signals that have emerged from the literature include an association between levels of testican-2 and favorable kidney prognosis and an association between levels of TNFRSF1A and TNFRSF1B and worse kidney prognosis. For these and other associations, however, understanding whether the proteins play a causal role in kidney disease pathogenesis remains a fundamental challenge, especially given the strong impact that kidney function can have on blood protein levels. Prior to investing in dedicated animal models or randomized trials, methods that leverage the availability of genotyping in epidemiologic cohorts-including Mendelian randomization, colocalization analyses, and proteome-wide association studies-can add evidence for causal inference in CKD proteomics research. In addition, integration of large-scale blood proteome analyses with urine and tissue proteomics, as well as improved assessment of posttranslational protein modifications (e.g., carbamylation), represent important future directions. Taken together, these approaches seek to translate progress in large-scale proteomic profiling into the promise of improved diagnostic tools and therapeutic target identification in kidney disease.

Indexed as

ProteomeRenal Insufficiency, ChronicAnimalsBiomarkersCross-Sectional StudiesGenome-Wide Association StudyProteomicsBiomarkersProteomecausal inferencechronic kidney diseasehigh-throughputMendelian randomizationpQTLProteomics

Identifiers

PMID37076045
PMCPMC10326701
OpenAlexW4366163686

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.