Evidence map›Paper›PMID 35618095›Full record

ArticleKidney international2022

Results of untargeted analysis using the SOMAscan proteomics platform indicates novel associations of circulating proteins with risk of progression to kidney failure in diabetes.

Hiroki Kobayashi, Helen C Looker, Eiichiro Satake, Pierre Jean Saulnier, Zaipul I Md Dom, Kristina O'Neil, Katsuhito Ihara, Bozena Krolewski, Andrzej T Galecki, Monika A Niewczas and 5 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.5field-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

27 citing papers in PubMed, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 3 countries.

Hiroki KobayashiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA; Division of Nephrology, Hypertension, and Endocrinology, Nihon University School of Medicine, Tokyo, Japan.
Helen C LookerChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
Eiichiro SatakeSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Pierre Jean SaulnierChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA; Centre Hospitalier Universitaire, Centre d Investigation Clinique Poitiers, France.
Zaipul I Md DomSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Kristina O'NeilSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Katsuhito IharaSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Bozena KrolewskiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Andrzej T GaleckiCognitive Health Services Research Program, University of Michigan, Ann Arbor, Michigan, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Monika A NiewczasSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Jonathan M WilsonDiabetes and Complication Department, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
Alessandro DoriaSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Kevin L DuffinDiabetes and Complication Department, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
Robert G NelsonChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA. Electronic address: rnelson@phx.niddk.nih.gov.
Andrzej S KrolewskiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: Andrzej.Krolewski@joslin.harvard.edu.
Joslin Diabetes Center · USNational Institute of Diabetes and Digestive and Kidney Diseases · USEli Lilly (United States) · USNihon University · JPUniversity of Michigan · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Epidemiology, Pathophysiology and Treatment of Diabetic NephropathyZIADK069062 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI NELSON, ROBERT G · 2009 to 2023
$10.1M
Tumor necrosis factor superfamily of ligands and receptors in progressive renal decline in diabetesR01DK041526 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 1990 to 2018
$7.8M
Development of Prognostic Algorithms to Identify Subjects at High Risk of ESKD in Type 2 DiabetesR01DK126799 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 2021 to 2024
$2.7M
Understanding the role of the Complement Proteome in progressive Diabetic Kidney DiseaseR01DK123459 · NIDDK · JOSLIN DIABETES CENTER · PI NIEWCZAS, MONIKA ANNA · 2020 to 2024
$2.3M
The role of microRNAs in progressive renal decline in Type 1 diabetesR01DK110350 · NIDDK · UNIVERSITY OF UTAH · PI PEZZOLESI, MARCUS GUY · 2017 to 2021
$1.8M
Intramural NIH HHS ZIA DK069062NIA NIH HHS P30 AG024824NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK041526NIDDK NIH HHS R01 DK110350NIDDK NIH HHS R01 DK123459NIDDK NIH HHS R01 DK126799
6 · The paper itself

Abstract

This study applies a large proteomics panel to search for new circulating biomarkers associated with progression to kidney failure in individuals with diabetic kidney disease. Four independent cohorts encompassing 754 individuals with type 1 and type 2 diabetes and early and late diabetic kidney disease were followed to ascertain progression to kidney failure. During ten years of follow-up, 227 of 754 individuals progressed to kidney failure. Using the SOMAscan proteomics platform, we measured baseline concentration of 1129 circulating proteins. In our previous publications, we analyzed 334 of these proteins that were members of specific candidate pathways involved in diabetic kidney disease and found 35 proteins strongly associated with risk of progression to kidney failure. Here, we examined the remaining 795 proteins using an untargeted approach. Of these remaining proteins, 11 were significantly associated with progression to kidney failure. Biological processes previously reported for these proteins were related to neuron development (DLL1, MATN2, NRX1B, KLK8, RTN4R and ROR1) and were implicated in the development of kidney fibrosis (LAYN, DLL1, MAPK11, MATN2, endostatin, and ROR1) in cellular and animal studies. Specific mechanisms that underlie involvement of these proteins in progression of diabetic kidney disease must be further investigated to assess their value as targets for kidney-protective therapies. Using multivariable LASSO regression analysis, five proteins (LAYN, ESAM, DLL1, MAPK11 and endostatin) were found independently associated with risk of progression to kidney failure. Thus, our study identified proteins that may be considered as new candidate prognostic biomarkers to predict risk of progression to kidney failure in diabetic kidney disease. Furthermore, three of these proteins (DLL1, ESAM, and MAPK11) were selected as candidate biomarkers when all SOMAscan results were evaluated.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesRenal InsufficiencyBiomarkersDisease ProgressionEndostatinsHumansLectins, C-TypeProteomicsBiomarkersEndostatinsLAYN protein, humanLectins, C-Typecirculating biomarkerdiabetesdiabetic kidney diseaseend-stage kidney diseaseproteomics analysis

Identifiers

PMID35618095
PMCPMC9333266
OpenAlexW4281396335

What Socratic holds

Textmetadata
LicenceTDM
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.