Evidence map›Paper›PMID 37272428›Full record

ArticleDisease models & mechanisms2023

A 3D adipogenesis platform to study the fate of fibro/adipogenic progenitors in muscular dystrophies.

Alessio Reggio, Francesca De Paolis, Salma Bousselmi, Felice Cicciarelli, Sergio Bernardini, Alberto Rainer, Dror Seliktar, Stefano Testa, Carmine Cirillo, Paolo Grumati and 3 more

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

13 authors at 6 institutions in 3 countries.

Alessio ReggioDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0001-5333-7502
Francesca De PaolisDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0002-3613-2721
Salma BousselmiDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0002-3032-532X
Felice CicciarelliDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0003-3439-2498
Sergio BernardiniDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.
Alberto RainerDepartment of Engineering, Università Campus Bio-Medico, 00128 Rome, Italy.ORCID 0000-0001-8971-551X
Dror SeliktarDepartment of Biomedical Engineering, Techion Institute, 32000 Haifa, Israel.ORCID 0000-0001-6964-8567
Stefano TestaAix Marseille University, INSERM, Marseille Medical Genetics (MMG), 13005 Marseille, France.ORCID 0000-0002-5981-504X
Carmine CirilloTelethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.ORCID 0000-0002-1639-7677
Paolo GrumatiTelethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy.ORCID 0000-0002-9942-9389
Stefano CannataDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.
Claudia FuocoDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0001-8372-305X
Cesare GargioliDepartment of Biology, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0003-1742-3969
University of Rome Tor Vergata · ITFederico II University Hospital · ITInserm · FRTechnion – Israel Institute of Technology · ILTelethon Institute Of Genetics And Medicine · ITUniversità Campus Bio-Medico · IT

Funding

AFM-Téléthon 23551Fondazione Telethon TMPGMFU22TTItalian Ministry of University and Research PRIN Funding Scheme 201742SBXA_004Ministero dell'Istruzione, dell'Università e della Ricerca 201742SBXA_004Muscular Dystrophy Association 968551Muscular Dystrophy Association MDA 968551Universita degli Studi di Roma Tor Vergata
6 · The paper itself

Abstract

In human dystrophies, progressive muscle wasting is exacerbated by ectopic deposition of fat and fibrous tissue originating from fibro/adipogenic progenitors (FAPs). In degenerating muscles, the ability of these cells to promote successful healing is attenuated, and FAPs aberrantly expand and differentiate into adipocytes and fibroblasts. Thus, arresting the fibro/adipogenic fate of FAPs, without affecting their physiological role, represents a valuable therapeutic strategy for patients affected by muscle diseases. Here, using a panel of adipose progenitor cells, including human-derived FAPs, coupled with pharmacological perturbations and proteome profiling, we report that LY2090314 interferes with a genuine adipogenic program acting as WNT surrogate for the stabilization of a competent β-catenin transcriptional complex. To predict the beneficial impact of LY2090314 in limiting ectopic deposition of fat in human muscles, we combined a poly-ethylene-glycol-fibrinogen biomimetic matrix with these progenitor cells to create a miniaturized 3D model of adipogenesis. Using this scalable system, we demonstrated that a two-digit nanomolar dose of this compound effectively represses adipogenesis at higher 3D scale, thus indicating the potential for LY2090314 to limit FAP-derived fat infiltrates in dystrophic muscles.

Indexed as

AdipogenesisMuscular DystrophiesCell DifferentiationHeterocyclic Compounds, 3-RingHumansMaleimidesMusclesMuscle, SkeletalStem Cells3-(9-fluoro-2-(piperidin-1-ylcarbonyl)-1,2,3,4-tetrahydro(1,4)diazepino(6,7,1-hi)indol-7-yl)-4-imidazo(1,2-a)pyridin-3-yl-1H-pyrrole-2,5-dioneHeterocyclic Compounds, 3-RingMaleimidesAdipogenesisFibro/adipogenic progenitorsLY2090314Muscular dystrophiesTissue engineeringβ-catenin

Identifiers

PMID37272428
PMCPMC10309591
OpenAlexW4379375318

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.