Evidence map›Paper›PMID 37537394›Full record

ArticleDiabetologia2023

Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory.

Robert Moulder, Tommi Välikangas, M Karoliina Hirvonen, Tomi Suomi, Caroline A Brorsson, Niina Lietzén, Sylvaine F A Bruggraber, Lut Overbergh, David B Dunger, Mark Peakman and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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  11. Advances in the role of GPX3 in ovarian cancer (Review).International journal of oncology · 2024
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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

18 authors at 7 institutions in 6 countries.

Robert MoulderTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-4742-0566
Tommi VälikangasTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0002-6046-1920
M Karoliina HirvonenTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-1575-9725
Tomi SuomiTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-3639-979X
Caroline A BrorssonNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-3473-1744
Niina LietzénTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0002-3432-5415
Sylvaine F A BruggraberDepartment of Paediatrics, University of Cambridge, Cambridge, UK.ORCID 0000-0002-4844-8168
Lut OverberghKatholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium.ORCID 0000-0001-7126-356X
David B DungerDepartment of Paediatrics, University of Cambridge, Cambridge, UK.ORCID 0000-0002-2566-9304
Mark PeakmanImmunology & Inflammation Research Therapeutic Area, Sanofi, Boston, MA, USA.ORCID 0000-0003-3328-3513
Piotr J ChmuraNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9371-6918
Soren BrunakNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0316-5866
Anke M SchulteSanofi-Aventis Deutschland GmbH, Frankfurt, Germany.
Chantal MathieuKatholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium.ORCID 0000-0002-4055-5233
Mikael KnipPediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0003-0474-0033
Laura L EloTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. laura.elo@utu.fi.ORCID 0000-0001-5648-4532
Riitta LahesmaaTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. rilahes@utu.fi.ORCID 0000-0002-4782-9567
INNODIA consortium
Åbo Akademi University · FIUniversity of Copenhagen · DKUniversitair Ziekenhuis Leuven · BEUniversity of Cambridge · GBSanofi (Germany) · DESanofi (United States) · USUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThere is a growing need for markers that could help indicate the decline in beta cell function and recognise the need and efficacy of intervention in type 1 diabetes. Measurements of suitably selected serum markers could potentially provide a non-invasive and easily applicable solution to this challenge. Accordingly, we evaluated a broad panel of proteins previously associated with type 1 diabetes in serum from newly diagnosed individuals during the first year from diagnosis. To uncover associations with beta cell function, comparisons were made between these targeted proteomics measurements and changes in fasting C-peptide levels. To further distinguish proteins linked with the disease status, comparisons were made with measurements of the protein targets in age- and sex-matched autoantibody-negative unaffected family members (UFMs).

methodsSelected reaction monitoring (SRM) mass spectrometry analyses of serum, targeting 85 type 1 diabetes-associated proteins, were made. Sera from individuals diagnosed under 18 years (n=86) were drawn within 6 weeks of diagnosis and at 3, 6 and 12 months afterwards (288 samples in total). The SRM data were compared with fasting C-peptide/glucose data, which was interpreted as a measure of beta cell function. The protein data were further compared with cross-sectional SRM measurements from UFMs (n=194).

resultsEleven proteins had statistically significant associations with fasting C-peptide/glucose. Of these, apolipoprotein L1 and glutathione peroxidase 3 (GPX3) displayed the strongest positive and inverse associations, respectively. Changes in GPX3 levels during the first year after diagnosis indicated future fasting C-peptide/glucose levels. In addition, differences in the levels of 13 proteins were observed between the individuals with type 1 diabetes and the matched UFMs. These included GPX3, transthyretin, prothrombin, apolipoprotein C1 and members of the IGF family. CONCLUSIONS/

interpretationThe association of several targeted proteins with fasting C-peptide/glucose levels in the first year after diagnosis suggests their connection with the underlying changes accompanying alterations in beta cell function in type 1 diabetes. Moreover, the direction of change in GPX3 during the first year was indicative of subsequent fasting C-peptide/glucose levels, and supports further investigation of this and other serum protein measurements in future studies of beta cell function in type 1 diabetes.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdolescentBlood GlucoseC-PeptideCross-Sectional StudiesFastingGlucoseHumansInsulinProteomicsBlood GlucoseC-PeptideGlucoseInsulinC-peptideGlutathione peroxidase 3Serum proteomicsType 1 diabetes

Identifiers

PMID37537394
PMCPMC10542287
OpenAlexW4385564019

What Socratic holds

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LicenceCC BY
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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.