Evidence mapPaperPMID 39925097Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2025

A new C-peptide minimal model to assess β-cell responsiveness to glucagon in individuals with and without type 2 diabetes.

Federica Boscolo, Edoardo Faggionato, Andrew A Welch, Rahele A Farahani, Aoife M Egan, Adrian Vella, Chiara Dalla Man

Abstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Federica BoscoloDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0009-0003-0545-7288
Edoardo FaggionatoDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0001-7737-6987
Andrew A WelchDivision of Diabetes, Endocrinology and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, United States.ORCID 0000-0003-1246-7524
Rahele A FarahaniDivision of Diabetes, Endocrinology and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, United States.
Aoife M EganDivision of Diabetes, Endocrinology and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, United States.ORCID 0000-0003-0379-9279
Adrian VellaDivision of Diabetes, Endocrinology and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, United States.ORCID 0000-0001-6493-7837
Chiara Dalla ManDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-4908-0596

Funding

Elucidating the Pathophysiology of Gestational Diabetes MellitusK23DK134767 · MAYO CLINIC ROCHESTER · 2025 to 2025
$191k
NIDDK NIH HHS K23 DK134767
6 · The paper itself

Abstract

Glucagon regulates its own secretion indirectly by stimulating β-cells to secrete insulin. This may serve as a compensatory mechanism to enhance β-cell function in individuals with, or predisposed to, type 2 diabetes (T2D). However, tools to quantify glucagon-induced C-peptide secretion rate (SR) are lacking. To bridge this gap, we developed a novel model-based method to provide quantitative indices of β-cell function in response to a glucagon bolus in individuals without and with type 2 diabetes. Eight individuals without diabetes [3 M, age = 55 ± 9 yr, body mass index (BMI) = 32 ± 4 kg/m

Indexed as

C-PeptideDiabetes Mellitus, Type 2GlucagonInsulin-Secreting CellsModels, BiologicalAgedBlood GlucoseFemaleGlucose Clamp TechniqueHumansInsulinMaleMiddle AgedModels, TheoreticalBlood GlucoseC-PeptideGlucagonInsulininsulin secretionmodel selectionparameter estimation

Identifiers

PMID39925097
PMCPMC13016706

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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.