Evidence map›Paper›PMID 40471289›Full record

ArticleActa diabetologica2025

Proximity extension assay inflammatory profiling cannot distinguish the presence of residual C-peptide in patients with long-standing type 1 diabetes.

Ebrahim Anvari, Per Lundkvist, Kailash Singh, Daniel Espes

Abstract read
In one paragraph

Article in Acta diabetologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Ebrahim AnvariDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Per LundkvistDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Kailash SinghDepartment of Medical Cell Biology, Uppsala University, Box 571, Uppsala, 75123, Sweden.
Daniel EspesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden. daniel.espes@scilifelab.uu.se.ORCID http://orcid.org/0000-0001-8843-7941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMany patients with long-standing type 1 diabetes (T1D) have remaining low levels of C-peptide, i.e. and indirect sign of remaining functional beta-cells. This study focused on identifying differences in immunological and inflammatory biomarkers in patients with longstanding T1D and remaining C-peptide. RESEARCH DESIGN AND

methodsAdult patients (n = 120) with long-standing T1D (≥ 10 years) and healthy controls (HC) (n = 50) were recruited at Uppsala University Hospital. Residual beta-cell function was determined with an ultrasensitive C-peptide ELISA under fasting conditions. T1D patients were divided into two groups (C-peptide positive vs. C-peptide negative). Using the OLINK Explore Inflammation proximity extension assay (PEA), 368 circulating immunological and inflammatory biomarkers were analyzed in plasma.

resultsThe three groups could not be distinguished by principal component analysis and when correcting for multiple testing we found no differences in circulating biomarkers. However, based on uncorrected p-values there were six biomarkers that were different when comparing all T1D patients with HC and eight markers that were different when comparing C-peptide positive vs. negative T1D patients.

conclusionA wide inflammatory assay analysis cannot distinguish patients with longstanding T1D and remaining C-peptide from patients with a complete loss of C-peptide nor from HC.

Indexed as

C-PeptideDiabetes Mellitus, Type 1InflammationAdolescentAdultBiomarkersEnzyme-Linked Immunosorbent AssayFemaleHumansInsulin-Secreting CellsMaleMiddle AgedYoung AdultBiomarkersC-PeptideBiomarkersC-peptideProximity extension assayType 1 diabetes

Identifiers

PMID40471289
PMCPMC12640314

What Socratic holds

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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 Socratic graph.