Evidence map›Paper›PMID 37735622›Full record

ReviewClinical proteomics2023

Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.

Soumyadeep Sarkar, Emily C Elliott, Hayden R Henry, Ivo Díaz Ludovico, John T Melchior, Ashley Frazer-Abel, Bobbie-Jo Webb-Robertson, W Sean Davidson, V Michael Holers, Marian J Rewers and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Integrating Omics into Functional Biomarkers of Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Soumyadeep SarkarBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Emily C ElliottBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Hayden R HenryBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Ivo Díaz LudovicoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
John T MelchiorBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Ashley Frazer-AbelDivision of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Bobbie-Jo Webb-RobertsonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
W Sean DavidsonDepartment of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
V Michael HolersDivision of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Marian J RewersBarbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Thomas O MetzBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Ernesto S NakayasuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA. ernesto.nakayasu@pnnl.gov.
Pacific Northwest National Laboratory · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Cincinnati Medical Center · US

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
Alternative RNA splicing events contribute to the onset of islet dysfunction in T1DU01DK127505 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI NAKAYASU, ERNESTO SATOSHI, SUSSEL, LORI · 2020 to 2023
$2.9M
NIDDK NIH HHS P30 DK116073NIDDK NIH HHS R01 DK032493NIDDK NIH HHS U01 DK127505NIDDK NIH HHS U01 DK127786
6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) results from an autoimmune attack of the pancreatic β cells that progresses to dysglycemia and symptomatic hyperglycemia. Current biomarkers to track this evolution are limited, with development of islet autoantibodies marking the onset of autoimmunity and metabolic tests used to detect dysglycemia. Therefore, additional biomarkers are needed to better track disease initiation and progression. Multiple clinical studies have used proteomics to identify biomarker candidates. However, most of the studies were limited to the initial candidate identification, which needs to be further validated and have assays developed for clinical use. Here we curate these studies to help prioritize biomarker candidates for validation studies and to obtain a broader view of processes regulated during disease development.

methodsThis systematic review was registered with Open Science Framework ( https://doi.org/10.17605/OSF.IO/N8TSA ). Using PRISMA guidelines, we conducted a systematic search of proteomics studies of T1D in the PubMed to identify putative protein biomarkers of the disease. Studies that performed mass spectrometry-based untargeted/targeted proteomic analysis of human serum/plasma of control, pre-seroconversion, post-seroconversion, and/or T1D-diagnosed subjects were included. For unbiased screening, 3 reviewers screened all the articles independently using the pre-determined criteria.

resultsA total of 13 studies met our inclusion criteria, resulting in the identification of 266 unique proteins, with 31 (11.6%) being identified across 3 or more studies. The circulating protein biomarkers were found to be enriched in complement, lipid metabolism, and immune response pathways, all of which are found to be dysregulated in different phases of T1D development. We found 2 subsets: 17 proteins (C3, C1R, C8G, C4B, IBP2, IBP3, ITIH1, ITIH2, BTD, APOE, TETN, C1S, C6A3, SAA4, ALS, SEPP1 and PI16) and 3 proteins (C3, CLUS and C4A) have consistent regulation in at least 2 independent studies at post-seroconversion and post-diagnosis compared to controls, respectively, making them strong candidates for clinical assay development.

conclusionsBiomarkers analyzed in this systematic review highlight alterations in specific biological processes in T1D, including complement, lipid metabolism, and immune response pathways, and may have potential for further use in the clinic as prognostic or diagnostic assays.

Indexed as

BiomarkerPlasmaProteomicsType 1 diabetes

Identifiers

PMID37735622
PMCPMC10512508
OpenAlexW4386933372

What OpenQuestion holds

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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 OpenQuestion graph.