Evidence map›Paper›PMID 25007949›Full record

ArticleJournal of molecular neuroscience : MN2015

Glial-like differentiation potential of human mature adipocytes.

Antonella Poloni, Giulia Maurizi, Federica Foia, Eleonora Mondini, Domenico Mattiucci, Patrizia Ambrogini, Davide Lattanzi, Stefania Mancini, Massimo Falconi, Saverio Cinti and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular neuroscience : MN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 2 institutions in 1 country.

Antonella PoloniClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy. a.poloni@univpm.it.
Giulia MauriziClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Federica FoiaClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Eleonora MondiniDipartimento di Medicina Sperimentale e Clinica, Università Politecnica delle Marche, Ancona, Italy.
Domenico MattiucciClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Patrizia AmbroginiDipartimento di Scienze della Terra, della Vita e dell'Ambiente, Sezione di Fisiologia, Università di Urbino Carlo Bo, Urbino, Italy.
Davide LattanziDipartimento di Scienze della Terra, della Vita e dell'Ambiente, Sezione di Fisiologia, Università di Urbino Carlo Bo, Urbino, Italy.
Stefania ManciniClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Massimo FalconiClinica Chirurgia del Pancreas, Università Politecnica delle Marche, Ospedali Riuniti, Ancona, Italy.
Saverio CintiDipartimento di Medicina Sperimentale e Clinica, Università Politecnica delle Marche, Ancona, Italy.
Attilio OlivieriClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Pietro LeoniClinica di Ematologia, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Via Tronto, 60020, Ancona, Italy.
Marche Polytechnic University · ITUniversity of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential ability to differentiate dedifferentiated adipocytes into a neural lineage is attracting strong interest as an emerging method of producing model cells for the treatment of a variety of neurological diseases. Here, we describe the efficient conversion of dedifferentiated adipocytes into a neural-like cell population. These cells grew in neurosphere-like structures and expressed a high level of the early neuroectodermal marker Nestin. These neurospheres could proliferate and express stemness genes, suggesting that these cells could be committed to the neural lineage. After neural induction, NeuroD1, Sox1, Double Cortin, and Eno2 were not expressed. Patch clamp data did not reveal different electrophysiological properties, indicating the inability of these cells to differentiate into mature neurons. In contrast, the differentiated cells expressed a high level of CLDN11, as demonstrated using molecular method, and stained positively for the glial cell markers CLDN11 and GFAP, as demonstrated using immunocytochemistry. These data were confirmed by quantitative results for glial cell line-derived neurotrophic factor production, which showed a higher secretion level in neurospheres and the differentiated cells compared with the untreated cells. In conclusion, our data demonstrate morphological, molecular, and immunocytochemical evidence of initial neural differentiation of mature adipocytes, committing to a glial lineage.

Indexed as

NeurogenesisAction PotentialsAdipocytesAgedAged, 80 and overBasic Helix-Loop-Helix ProteinsClaudinsDoublecortin Domain ProteinsGlial Fibrillary Acidic ProteinHumansMicrotubule-Associated ProteinsMiddle AgedNestinNeural Stem CellsNeurogliaNeuropeptidesBasic Helix-Loop-Helix ProteinsClaudinsCLDN11 protein, humanDoublecortin Domain ProteinsGlial Fibrillary Acidic ProteinMicrotubule-Associated ProteinsNestinNEUROD1 protein, humanNeuropeptidesPhosphopyruvate HydrataseSOX1 protein, humanSOXB1 Transcription Factors

Identifiers

PMID25007949
OpenAlexW1964135598

What OpenQuestion holds

Textmetadata
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.