Evidence map›Paper›PMID 30038375›Full record

ArticleScientific reports2018

Volatile compounds emission from teratogenic human pluripotent stem cells observed during their differentiation in vivo.

Rosamaria Capuano, Paola Spitalieri, Rosa Valentina Talarico, Alexandro Catini, Ana Carolina Domakoski, Eugenio Martinelli, Maria Giovanna Scioli, Augusto Orlandi, Rosella Cicconi, Roberto Paolesse and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A review of possible therapies for multiple sclerosis.Molecular and cellular biochemistry · 2021
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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.

Rosamaria CapuanoDepartment of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy.
Paola SpitalieriDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Rosa Valentina TalaricoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Alexandro CatiniDepartment of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy.ORCID 0000-0001-6050-2908
Ana Carolina DomakoskiDepartment of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133, Rome, Italy.
Eugenio MartinelliDepartment of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy.
Maria Giovanna ScioliDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Augusto OrlandiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Rosella CicconiCentro Servizi Interdipartimentale STA, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Roberto PaolesseDepartment of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133, Rome, Italy.ORCID 0000-0002-2380-1404
Giuseppe NovelliDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Corrado Di NataleDepartment of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy. dinatale@eln.uniroma2.it.
Federica SangiuoloDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy. sangiuolo@med.uniroma2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several investigations point out that the volatile fraction of metabolites, often called volatilome, might signal the difference processes occurring in living beings, both in vitro and in vivo. These studies have been recently applied to stem cells biology, and preliminary results show that the composition of the volatilome of stem cells in vitro changes along the differentiation processes leading from pluripotency to full differentiation. The identification of pluripotent stem cells is of great importance to improve safety in regenerative medicine avoiding the formation of teratomas. In this paper, we applied gas chromatography and gas sensor array to the study of the volatilome released by mice transplanted with human induced pluripotent stem cells (hiPSCs) or embryoid bodies (EBs) derived from hiPSCs at 5 days and spontaneously differentiated cells at 27 day. Gas chromatography analysis finds that, in mice transplanted with hiPSCs, the abundance of 13 volatile compounds increases four weeks after the implant and immediately before the formation of malignant teratomas (grade 3) become observable. The same behaviour is also followed by the signals of the gas sensors. Besides this event, the gas-chromatograms and the sensors signals do not show any appreciable variation related neither among the groups of transplanted mice nor respect to a placebo population. This is the first in vivo observation of the change of volatile metabolites released by human induced pluripotent stem cells and hiPSCs-derived cells during the differentiation process. These results shed further light on the differentiation mechanisms of stem cells and suggest possible applications for diagnostic purposes for an early detection of tumor relapse after surgery.

Indexed as

AnimalsCell DifferentiationChromatography, GasEmbryoid BodiesGas Chromatography-Mass SpectrometryHumansInduced Pluripotent Stem CellsMiceMice, NudePrincipal Component AnalysisTeratomaVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID30038375
PMCPMC6056464

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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.