Evidence map›Paper›PMID 40263317›Full record

ArticleNature communications2025

Genetics of circulating proteins in newborn babies at high risk of type 1 diabetes.

Mauro Tutino, Nancy Yiu-Lin Yu, Konstantinos Hatzikotoulas, Young-Chan Park, Peter Kreitmaier, Georgia Katsoula, Reinhard Berner, Kristina Casteels, Helena Elding Larsson, Olga Kordonouri and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

21 authors.

Mauro Tutino *Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Nancy Yiu-Lin Yu *Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-8321-8141
Konstantinos HatzikotoulasInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-4699-3672
Young-Chan ParkInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Peter KreitmaierInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Georgia KatsoulaInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Reinhard BernerDepartment of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Kristina CasteelsDepartment of Pediatrics, University Hospitals Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9690-3551
Helena Elding LarssonUnit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0003-3306-1742
Olga KordonouriKinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany.
Mariusz OłtarzewskiDepartment of Screening and Metabolic Diagnostics, Institute of Mother and Child, Warsaw, Poland.
Agnieszka SzypowskaDepartment of Paediatric Diabetology and Paediatrics, Medical University of Warsaw, Warsaw, Poland.
Raffael OttInstitute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
Andreas WeissInstitute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
Christiane WinklerInstitute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
Jose Zapardiel-GonzaloInstitute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.ORCID http://orcid.org/0000-0002-9098-1652
Agnese PetreraMetabolomics and Proteomics Core, Helmholtz Zentrum München - German Research Center for Environmental Health, Munich, Germany.
Stefanie M HauckMetabolomics and Proteomics Core, Helmholtz Zentrum München - German Research Center for Environmental Health, Munich, Germany.ORCID http://orcid.org/0000-0002-1630-6827
Ezio BonifacioCenter for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany.ORCID http://orcid.org/0000-0002-8704-4713
Anette-Gabriele ZieglerInstitute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. eleftheria.zeggini@helmholtz-munich.de.ORCID http://orcid.org/0000-0003-4238-659X

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01KX1818Leona M. and Harry B. Helmsley Charitable Trust (Helmsley Charitable Trust) G-2018PG-T1D023Leona M. and Harry B. Helmsley Charitable Trust (Helmsley Charitable Trust) G-2103-05036
6 · The paper itself

Abstract

Type 1 diabetes is a chronic, autoimmune disease characterized by the destruction of insulin-producing β-cells in the pancreas. Early detection can facilitate timely intervention, potentially delaying or preventing disease onset. Circulating proteins reflect dysregulated biological processes and offer insights into early disease mechanisms. Here, we construct a genome-wide pQTL map of 1985 proteins in 695 newborn babies (median age 2 days) at increased genetic risk of developing Type 1 diabetes. We identify 535 pQTLs (352 cis-pQTLs, 183 trans-pQTLs), 62 of which characteristic of newborns. We show colocalization of pQTLs for CTRB1, APOBR, IL7R, CPA1, and PNLIPRP1 with Type 1 diabetes GWAS signals, and Mendelian randomization causally implicates each of these five proteins in the aetiology of Type 1 diabetes. Our study illustrates the utility of newborn molecular profiles for discovering potential drug targets for childhood diseases of significant concern.

Indexed as

Blood ProteinsDiabetes Mellitus, Type 1FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInfant, NewbornMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociBlood Proteins

Identifiers

PMID40263317
PMCPMC12015297

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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.