Evidence mapPaperPMID 42467085Full record

ArticleDiabetologia2026

Tissue origins of the plasma proteomic response to glucose ingestion in humans.

Burulça Uluvar, Alice Williamson, Kristoffer J Kolnes, Per Bendix Jeppesen, Anders J Kolnes, Mine Koprulu, Martijn Zoodsma, Carl Beuchel, Yanki Bambal, Mar Reines and 10 more

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Article in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Burulça UluvarComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-8143-6989
Alice WilliamsonComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-7599-9301
Kristoffer J KolnesSteno Diabetes Center, Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0001-8824-5173
Per Bendix JeppesenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-8042-7554
Anders J KolnesFaculty of Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-4607-9642
Mine KopruluComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-6870-4539
Martijn ZoodsmaComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3636-2209
Carl BeuchelComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3224-3894
Yanki BambalDepartment Medical Biotechnology, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0009-6923-8192
Mar ReinesDepartment Medical Biotechnology, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-3354-2071
Summaira YasmeenComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-5470-2081
Carlo MajCenter for Human Genetics, University Hospital of Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0002-9559-1725
Johannes SchumacherCenter for Human Genetics, University Hospital of Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0001-9217-6457
Stephen O'RahillyMRC Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-2199-4449
David A van HeelBlizard Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-0637-2265
Sina BartfeldDepartment Medical Biotechnology, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-2493-8282
Julia Carrasco-ZaniniComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-3988-7505
Jørgen JensenDepartment of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway.ORCID http://orcid.org/0000-0001-5851-220X
Maik PietznerComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany. maik.pietzner@bih-charite.de.ORCID http://orcid.org/0000-0003-3437-9963
Claudia LangenbergComputational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany. claudia.langenberg@qmul.ac.uk.ORCID http://orcid.org/0000-0002-5017-7344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisCirculating proteins act as important hormonal signals of nutrient intake. We aimed to systematically characterise the time-resolved proteomic response to glucose ingestion in humans, and to assess its robustness following prolonged complete caloric restriction.

methodsWe conducted oral glucose tolerance tests (OGTTs) in 11 healthy volunteers before and after 7 days of complete caloric restriction and measured the response of >2900 targets through high-resolution plasma protein profiling.

resultsWe identified a signature of 44 proteins that changed significantly following glucose ingestion, which was reproducible after 7 days without food, and was strongly (20-fold) enriched for 'stomach-specific' proteins. We report that annexin A10 (ANXA10) shows the most significant post-glucose change observed, similar to the trajectories of secreted hormones. We present observational human evidence from multiple sources suggesting that ANXA10 is secreted upon sensing an increase in gastric pH, with the stomach as the major contributing tissue. Despite a profound metabolic shift after 7 days of complete caloric restriction, characterised by delayed insulin secretion and postprandial hyperglycaemia, only four proteins showed robust evidence for a differential trajectory during both OGTTs. This included plasma levels of tryptophanyl-tRNA synthetase 1 (WARS), for which we found a genetic association with glucose homeostasis and coronary artery disease. CONCLUSIONS/

interpretationOur exploratory study identifies the proteomic response to glucose ingestion and demonstrates its reproducibility despite major shifts in glucose homeostasis. We characterise the gastrointestinal origin of these changes, and hypothesise a hitherto under-recognised role for sensing of changes in gastric pH on the plasma proteome.

Indexed as

FastingGastric acidGlucose toleranceGut hormonesIntervention studyMulti-omicsPopulation studiesProteomics

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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.