Evidence map›Paper›PMID 39634330›Full record

ArticleKidney medicine2024

Circulating Protein and Metabolite Correlates of Histologically Confirmed Diabetic Kidney Disease.

Carolina Lopez-Silva, Aditya Surapaneni, Insa M Schmidt, Dhairya Upadhyay, Anand Srivastava, Ragnar Palsson, Isaac E Stillman, Eugene P Rhee, Sushrut S Waikar, Morgan E Grams

Abstract read
In one paragraph

Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

10 authors.

Carolina Lopez-SilvaDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Aditya SurapaneniDivision of Precision Medicine, NYU Grossman School of Medicine, New York City, NY.
Insa M SchmidtSection of Nephrology, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston MA.
Dhairya UpadhyayDivision of Precision Medicine, NYU Grossman School of Medicine, New York City, NY.
Anand SrivastavaDivision of Nephrology, University of Illinois Chicago, Chicago, IL.
Ragnar PalssonDivision of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard University Medical School, Boston, MA.
Isaac E StillmanDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY.
Eugene P RheeDivision of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard University Medical School, Boston, MA.
Sushrut S WaikarSection of Nephrology, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston MA.
Morgan E GramsDivision of Precision Medicine, NYU Grossman School of Medicine, New York City, NY.

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
Functional MRI to Identify High-risk CKD PhenotypesR01DK139321 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Anand Srivastava · 2025 to 2026
$1.5M
Non-Invasive Imaging Biomarkers to Identify a High-Risk Chronic Kidney Disease PhenotypeK23DK120811 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SRIVASTAVA, ANAND · 2020 to 2024
$1.0M
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 K23 DK120811NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R01 DK139321
6 · The paper itself

Abstract

Rationale & Objective: Diabetic kidney disease (DKD) is one of the leading causes of end-stage kidney disease globally. We aim to identify proteomic and metabolomic correlates of histologically confirmed DKD that may improve our understanding of its pathophysiology. Study Design: A cross-sectional study. Setting & Participants: A total of 434 Boston Kidney Biopsy Cohort participants. Predictors: Histopathological diagnosis of DKD on biopsy. Outcomes: Proteins and metabolites associated with DKD. Analytical Approach: We performed linear regression to identify circulating proteins and metabolites associated with a histopathological diagnosis of DKD (n = 81) compared with normal or thin basement membrane (n = 27), and other kidney diseases without diabetes (n = 279). Pathway enrichment analysis was used to explore biological pathways enriched in DKD. Identified proteins were assessed for their discriminative ability in cases of DKD versus a distinct set of 48 patients with diabetes but other kidney diseases. Results: After adjusting for age, sex, estimated glomerular filtration, and albuminuria levels, there were 8 proteins and 1 metabolite that differed between DKD and normal/thin basement membrane, and 84 proteins and 11 metabolites that differed between DKD and other kidney diseases without diabetes. Five proteins were significant in both comparisons: C-type mannose receptor 2, plexin-A1, plexin-D1, renin, and transmembrane glycoprotein NMB. The addition of these proteins improved discrimination over clinical variables alone of a histopathological diagnosis of DKD on biopsy among patients with diabetes (change in area under the curve 0.126; Limitations: A cross-sectional approach and lack of an external validation cohort. Conclusions: Distinct proteins and biological pathways are correlated with a histopathological diagnosis of DKD.

Indexed as

diabetic kidney diseasemetabolomicsproteomics

Identifiers

PMID39634330
PMCPMC11615146

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.