Evidence map›Paper›PMID 39851564›Full record

ArticleCells2025

Deciphering the Transcriptional Metabolic Profile of Adipose-Derived Stem Cells During Osteogenic Differentiation and Epigenetic Drug Treatment.

Giulia Gerini, Alice Traversa, Fabrizio Cece, Matteo Cassandri, Paola Pontecorvi, Simona Camero, Giulia Nannini, Enrico Romano, Francesco Marampon, Mary Anna Venneri and 5 more

Abstract read
In one paragraph

Article in Cells, 2025. 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
–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

6 citing papers in PubMed.

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

15 authors.

Giulia GeriniDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-9229-5103
Alice TraversaDepartment of Life Sciences, Health and Health Professions, Link Campus University, 00165 Rome, Italy.ORCID 0000-0001-6138-6179
Fabrizio CeceDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
Matteo CassandriDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
Paola PontecorviDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2392-3775
Simona CameroDepartment of Life Sciences, Health and Health Professions, Link Campus University, 00165 Rome, Italy.ORCID 0000-0001-8286-3640
Giulia NanniniDepartment of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy.
Enrico RomanoDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-9514-6472
Francesco MaramponDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.
Mary Anna VenneriDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-0687-8135
Simona CeccarelliDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-8789-7719
Antonio AngeloniDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
Amedeo AmedeiDepartment of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy.ORCID 0000-0002-6797-9343
Cinzia MarcheseDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-9280-8917
Francesca MegiorniDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-3705-3248

Funding

PRIN 2020 2020XMLP45
6 · The paper itself

Abstract

Adipose-derived mesenchymal stem cells (ASCs) are commonly employed in clinical treatment for various diseases due to their ability to differentiate into multi-lineage and anti-inflammatory/immunomodulatory properties. Preclinical studies support their use for bone regeneration, healing, and the improvement of functional outcomes. However, a deeper understanding of the molecular mechanisms underlying ASC biology is crucial to identifying key regulatory pathways that influence differentiation and enhance regenerative potential. In this study, we employed the NanoString nCounter technology, an advanced multiplexed digital counting method of RNA molecules, to comprehensively characterize differentially expressed transcripts involved in metabolic pathways at distinct time points in osteogenically differentiating ASCs treated with or without the pan-DNMT inhibitor RG108.

Indexed as

Adipose TissueCell DifferentiationEpigenesis, GeneticMesenchymal Stem CellsMetabolomeOsteogenesisHumansadipose-derived stem cellsDNA methyltransferase inhibitormetabolic pathwaysosteogenic differentiation

Identifiers

PMID39851564
PMCPMC11763738

What Socratic 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 Socratic graph.