Evidence map›Paper›PMID 32303252›Full record

ArticleStem cell research & therapy2020

Characterization of immortalized human islet stromal cells reveals a MSC-like profile with pancreatic features.

Orianne Villard, Mathieu Armanet, Guilhem Couderc, Claire Bony, Jerome Moreaux, Daniele Noël, John De Vos, Bernard Klein, Jean-Luc Veyrune, Anne Wojtusciszyn

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Orianne VillardLaboratory of Cell Therapy for Diabetes, Institute of Regenerative Medicine and Biotherapy, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Mathieu ArmanetLaboratory of Cell Therapy for Diabetes, Institute of Regenerative Medicine and Biotherapy, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Guilhem CoudercDepartment of Biological Haematology, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Claire BonyIRMB, INSERM U 1183, Univ Montpellier, INSERM, Montpellier, France.
Jerome MoreauxDepartment of Biological Haematology, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Daniele NoëlIRMB, INSERM U 1183, Univ Montpellier, INSERM, Montpellier, France.
John De VosDepartment of Biological Haematology, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Bernard KleinDepartment of Cell and Tissue Engineering, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Jean-Luc VeyruneDepartment of Biological Haematology, Univ. Montpellier, CHU Montpellier, Montpellier, France.
Anne WojtusciszynLaboratory of Cell Therapy for Diabetes, Institute of Regenerative Medicine and Biotherapy, Univ. Montpellier, CHU Montpellier, Montpellier, France. Anne.Wojtusciszyn@chuv.ch.
Université de Montpellier · FRInserm · FRCentre Hospitalier Universitaire de Montpellier · FRCentre National de la Recherche Scientifique · FRInstitute for Regenerative Medicine & Biotherapy · FRUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMesenchymal stromal cells (MSCs) represent an interesting tool to improve pancreatic islet transplantation. They have immunomodulatory properties and secrete supportive proteins. However, the functional properties of MSCs vary according to many factors such as donor characteristics, tissue origin, or isolation methods. To counteract this heterogeneity, we aimed to immortalize and characterize adherent cells derived from human pancreatic islets (hISCs), using phenotypic, transcriptomic, and functional analysis.

methodsAdherent cells derived from human islets in culture were infected with a hTERT retrovirus vector and then characterized by microarray hybridization, flow cytometry analysis, and immunofluorescence assays. Osteogenic, adipogenic, and chondrogenic differentiation as well as PBMC proliferation suppression assays were used to compare the functional abilities of hISCs and MSCs. Extracellular matrix (ECM) gene expression profile analysis was performed using the SAM (Significance Analysis of Microarrays) software, and protein expression was confirmed by western blotting.

resultshISCs kept an unlimited proliferative potential. They exhibited several properties of MSCs such as CD73, CD90, and CD105 expression and differentiation capacity. From a functional point of view, hISCs inhibited the proliferation of activated peripheral blood mononuclear cells. The transcriptomic profile of hISCs highly clusterized with bone marrow (BM)-MSCs and revealed a differential enrichment of genes involved in the organization of the ECM. Indeed, the expression and secretion profiles of ECM proteins including collagens I, IV, and VI, fibronectin, and laminins, known to be expressed in abundance around and within the islets, were different between hISCs and BM-MSCs.

conclusionWe generated a new human cell line from pancreatic islets, with MSCs properties and retaining some pancreatic specificities related to the production of ECM proteins. hISCs appear as a very promising tool in islet transplantation by their availability (as a source of inexhaustible source of cells) and ability to secrete a supportive "pancreatic" microenvironment.

Indexed as

Islets of LangerhansMesenchymal Stem CellsBone Marrow CellsCell DifferentiationCell ProliferationCells, CulturedChondrogenesisHumansLeukocytes, MononuclearCell therapyConditioned mediumExtracellular matrixMesenchymal stromal cellsPancreatic islets

Identifiers

PMID32303252
PMCPMC7165390
OpenAlexW3017026157

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.