Evidence map›Paper›PMID 38630142›Full record

ArticleDiabetologia2024

A 3D atlas of the human developing pancreas to explore progenitor proliferation and differentiation.

Adrian Villalba, Yorick Gitton, Megumi Inoue, Virginie Aiello, Raphaël Blain, Maryne Toupin, Séverine Mazaud-Guittot, Latif Rachdi, Henrik Semb, Alain Chédotal and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.2field-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

8 citing papers in PubMed, 9 citations in OpenAlex.

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  8. Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia.Endocrinology and metabolism (Seoul, Korea) · 2025
    Review
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

11 authors at 8 institutions in 2 countries.

Adrian Villalba *Institut Cochin, CNRS, Inserm, Université Paris Cité, Paris, France.
Yorick Gitton *Inserm, CNRS, Institut de la Vision, Sorbonne Université, Paris, France.
Megumi InoueInserm, CNRS, Institut de la Vision, Sorbonne Université, Paris, France.
Virginie AielloInstitut Cochin, CNRS, Inserm, Université Paris Cité, Paris, France.
Raphaël BlainInserm, CNRS, Institut de la Vision, Sorbonne Université, Paris, France.
Maryne ToupinInserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, Université Rennes, Rennes, France.
Séverine Mazaud-GuittotInserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, Université Rennes, Rennes, France.
Latif RachdiInstitut Cochin, CNRS, Inserm, Université Paris Cité, Paris, France.
Henrik SembInstitute of Translational Stem Cell Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, München, Germany.
Alain ChédotalInserm, CNRS, Institut de la Vision, Sorbonne Université, Paris, France. alain.chedotal@inserm.fr.
Raphaël ScharfmannInstitut Cochin, CNRS, Inserm, Université Paris Cité, Paris, France. raphael.scharfmann@inserm.fr.
Inserm · FRCentre National de la Recherche Scientifique · FRÉcole des Hautes Études en Santé Publique · FRHelmholtz Zentrum München · DEInstitut Cochin · FRInstitut de la Vision · FRUniversité Claude Bernard Lyon 1 · FRUniversité Paris Cité · FR

Funding

European Union's Horizon 2020 874839Fondation pour la Recherche Medicale EQU201903007793Laboratoire d'Excellence consortium Revive Investissements d'Avenir ANR-10-LABX-73-01
6 · The paper itself

Abstract

aims/hypothesisRodent pancreas development has been described in great detail. On the other hand, there are still gaps in our understanding of the developmental trajectories of pancreatic cells during human ontogenesis. Here, our aim was to map the spatial and chronological dynamics of human pancreatic cell differentiation and proliferation by using 3D imaging of cleared human embryonic and fetal pancreases.

methodsWe combined tissue clearing with light-sheet fluorescence imaging in human embryonic and fetal pancreases during the first trimester of pregnancy. In addition, we validated an explant culture system enabling in vitro proliferation of pancreatic progenitors to determine the mitogenic effect of candidate molecules.

resultsWe detected the first insulin-positive cells as early as five post-conceptional weeks, two weeks earlier than previously observed. We observed few insulin-positive clusters at five post-conceptional weeks (mean ± SD 9.25±5.65) with a sharp increase to 11 post-conceptional weeks (4307±152.34). We identified a central niche as the location of onset of the earliest insulin cell production and detected extra-pancreatic loci within the adjacent developing gut. Conversely, proliferating pancreatic progenitors were located in the periphery of the epithelium, suggesting the existence of two separated pancreatic niches for differentiation and proliferation. Additionally, we observed that the proliferation ratio of progenitors ranged between 20% and 30%, while for insulin-positive cells it was 1%. We next unveiled a mitogenic effect of the platelet-derived growth factor AA isoform (PDGFAA) in progenitors acting through the pancreatic mesenchyme by increasing threefold the number of proliferating progenitors. CONCLUSIONS/

interpretationThis work presents a first 3D atlas of the human developing pancreas, charting both endocrine and proliferating cells across early development.

Indexed as

Cell DifferentiationCell ProliferationImaging, Three-DimensionalPancreasFemaleHumansInsulinPregnancyStem CellsInsulinHuman fetal pancreasInsulin-producing cellsLight-sheet fluorescence microscopyPancreatic progenitorsPDGF signallingProliferating cellsType 1 diabetes

Identifiers

PMID38630142
PMCPMC11058870
OpenAlexW4390865976

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.