Evidence map›Paper›PMID 40019499›Full record

ArticleDiabetologia2025

Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes affirms markers of disease.

Robert Moulder, M Karoliina Hirvonen, Tommi Välikangas, Tomi Suomi, Lut Overbergh, Mark Peakman, Søren Brunak, Chantal Mathieu, Mikael Knip, Laura L Elo and 2 more

Abstract read
In one paragraph

Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

12 authors.

Robert MoulderTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. robmou@utu.fi.ORCID http://orcid.org/0000-0003-4742-0566
M Karoliina HirvonenTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID http://orcid.org/0000-0003-1575-9725
Tommi VälikangasTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID http://orcid.org/0000-0002-6046-1920
Tomi SuomiTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID http://orcid.org/0000-0003-3639-979X
Lut OverberghKatholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7126-356X
Mark PeakmanImmunology & Inflammation Research Therapeutic Area, Sanofi, Cambridge, UK.ORCID http://orcid.org/0000-0003-3328-3513
Søren BrunakNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0316-5866
Chantal MathieuKatholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4055-5233
Mikael KnipResearch Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0003-0474-0033
Laura L EloTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. laura.elo@utu.fi.ORCID http://orcid.org/0000-0001-5648-4532
Riitta LahesmaaTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. rilahes@utu.fi.ORCID http://orcid.org/0000-0002-4782-9567
INNODIA consortium

Funding

H2020 Health No 115797 (INNODIA)H2020 Health No 945268 (INNODIA HARVESTResearch Council of Finland 250114Research Council of Finland 292335Research Council of Finland 292482Research Council of Finland 294337Research Council of Finland 296801Research Council of Finland 310561Research Council of Finland 314443Research Council of Finland 329277Research Council of Finland 329278Research Council of Finland 331790Research Council of Finland 335434Research Council of Finland 335611Research Council of Finland 337530Wellcome Trust 319280
6 · The paper itself

Abstract

aims/hypothesisWhile investigating markers for declining beta cell function in type 1 diabetes, we previously demonstrated 11 statistically significant protein associations with fasting C-peptide/glucose ratios in longitudinal serum samples from newly diagnosed (ND) individuals (n=86; 228 samples in total) participating in the INNODIA (Innovative approaches to understanding and arresting type 1 diabetes) study. Furthermore, comparison with protein measurements from age- and sex-matched autoantibody-negative unaffected family members (UFMs, n=194) revealed differences in the serum levels of 13 target proteins. To further evaluate these findings, we analysed longitudinal serum drawn during the first year after diagnosis from a new group of ND individuals subsequently enrolled in the study, together with samples from additional UFMs.

methodsTo validate the previously reported statistically significant protein associations with type 1 diabetes progression, selected reaction monitoring (SRM) MS analyses were carried out. Sera from individuals diagnosed with type 1 diabetes under the age of 18 years (n=146) were collected within 6 weeks of diagnosis and at 3, 6 and 12 months after diagnosis (560 samples in total). The resulting SRM data were compared with fasting C-peptide/glucose measurements, which were used as a proxy for beta cell function. The protein data were further compared with cross-sectional SRM measurements from age- and sex-matched UFMs (n=272).

resultsOur results confirmed the presence of significant (p<0.05) inverse associations between fasting C-peptide/glucose ratios and peptides from apolipoprotein B-100, apolipoprotein M and glutathione peroxidase 3 (GPX3) in ND individuals. Additionally, we observed consistent differences in the levels of ten of the 13 targeted proteins between individuals with type 1 diabetes and UFMs. These proteins included GPX3, transthyretin, prothrombin, apolipoprotein C1 and afamin. CONCLUSIONS/

interpretationThe validated results reflect the landscape of biological changes accompanying type 1 diabetes. For example, the association of the targeted apolipoproteins with fasting C-peptide/glucose ratios in the first year after diagnosis is likely to relate to lipid abnormalities observed in individuals with type 1 diabetes, and reiterates the connection of apolipoproteins with the underlying changes accompanying the disease. Further research is needed to explore the clinical value and relevance of these targets.

Indexed as

Diabetes Mellitus, Type 1ProteomicsAdolescentBiomarkersBlood GlucoseChildChild, PreschoolC-PeptideFemaleHumansLongitudinal StudiesMaleBiomarkersBlood GlucoseC-PeptideC-peptideMarkersSerum proteomicsTargeted proteomicsType 1 diabetes

Identifiers

PMID40019499
PMCPMC12069125

What Socratic holds

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LicenceCC BY
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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 Socratic graph.