Evidence map›Paper›PMID 38959864›Full record

ArticleCell metabolism2024

Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease.

Jelena Kolic, WenQing Grace Sun, Haoning Howard Cen, Jessica D Ewald, Jason C Rogalski, Shugo Sasaki, Han Sun, Varsha Rajesh, Yi Han Xia, Renata Moravcova and 11 more

Abstract read
In one paragraph

Article in Cell metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Proteomics for precision nutrition: current evidence and future directions.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Triglyceride Accumulation in Adipocytes Modulated by Insulin Dynamics.International journal of molecular sciences · 2025
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Jelena KolicDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada. Electronic address: jkolic@mail.ubc.ca.
WenQing Grace SunDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Haoning Howard CenDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Jessica D EwaldInstitute of Parasitology, McGill University, Montreal, QC, Canada.
Jason C RogalskiDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Shugo SasakiDiabetes Research Group, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Surgery, School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Han SunDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA.
Varsha RajeshDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA.
Yi Han XiaDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Renata MoravcovaDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Søs SkovsøValkyrie Life Sciences, Vancouver, BC, Canada.
Aliya F SpigelmanDepartment of Pharmacology, University of Alberta, Edmonton, AB, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
Jocelyn E Manning FoxDepartment of Pharmacology, University of Alberta, Edmonton, AB, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
James LyonDepartment of Pharmacology, University of Alberta, Edmonton, AB, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
Leanne BeetDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Jianguo XiaInstitute of Parasitology, McGill University, Montreal, QC, Canada.
Francis C LynnDiabetes Research Group, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Surgery, School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Anna L GloynDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA; Wellcome Center for Human Genetics, University of Oxford, Oxford, UK.
Leonard J FosterDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Patrick E MacDonaldDepartment of Pharmacology, University of Alberta, Edmonton, AB, Canada; Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
James D JohnsonDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada; Vancouver Coastal Health Research Institute, Vancouver, BC, Canada. Electronic address: james.d.johnson@ubc.ca.

Funding

Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8M
Integrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7M
NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK105535NIDDK NIH HHS UM1 DK126185Wellcome Trust 200837/Z/16/Z
6 · The paper itself

Abstract

Population-level variation and mechanisms behind insulin secretion in response to carbohydrate, protein, and fat remain uncharacterized. We defined prototypical insulin secretion responses to three macronutrients in islets from 140 cadaveric donors, including those with type 2 diabetes. The majority of donors' islets exhibited the highest insulin response to glucose, moderate response to amino acid, and minimal response to fatty acid. However, 9% of donors' islets had amino acid responses, and 8% had fatty acid responses that were larger than their glucose-stimulated insulin responses. We leveraged this heterogeneity and used multi-omics to identify molecular correlates of nutrient responsiveness, as well as proteins and mRNAs altered in type 2 diabetes. We also examined nutrient-stimulated insulin release from stem cell-derived islets and observed responsiveness to fat but not carbohydrate or protein-potentially a hallmark of immaturity. Understanding the diversity of insulin responses to carbohydrate, protein, and fat lays the groundwork for personalized nutrition.

Indexed as

Diabetes Mellitus, Type 2InsulinInsulin SecretionIslets of LangerhansProteomicsAdultAgedFatty AcidsFemaleGlucoseHumansMaleMiddle AgedNutrientsFatty AcidsGlucoseInsulinNutrientshuman isletsinsulin secretionmacronutrientsproteomicsRNA-seqstem cell-derived isletstype 2 diabetes

Identifiers

PMID38959864
PMCPMC11250105

What OpenQuestion holds

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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 OpenQuestion graph.