Evidence map›Paper›PMID 25011500›Full record

ArticleJournal of materials science. Materials in medicine2014

Low frequency magnetic force augments hepatic differentiation of mesenchymal stem cells on a biomagnetic nanofibrous scaffold.

Dillip Kumar Bishi, Soma Guhathakurta, Jayarama Reddy Venugopal, Kotturathu Mammen Cherian, Seeram Ramakrishna

Abstract read
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In one paragraph

Article in Journal of materials science. Materials in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Dillip Kumar BishiStem Cells and Tissue Engineering Laboratory, Frontier Lifeline Hospital, R-30 C, Ambattur Industrial Estate Road, Mogappair, Chennai, India.
Soma Guhathakurta
Jayarama Reddy Venugopal
Kotturathu Mammen Cherian
Seeram Ramakrishna
Lifeline Hospital · INNational University of Singapore · SGIndian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver tissue engineering using polymeric nanofibrous scaffold and stem cells holds great promises for treating end-stage liver failures. The aim of this study was to evaluate hepatic trans-differentiation potential of human mesenchymal stem cells (hMSCs) on a biomagnetic electrospun nanofibrous scaffold fabricated from a blend of poly-L-lactide (PLLA), collagen and fibrin-rich blood clot, under the influence of a low frequency magnetic field. The scaffold was characterized for surface properties, biochemical and biomechanical parameters and bio-magnetic behaviour. Cell proliferation assay revealed that the scaffold was suitable for hMSCs adhesion and proliferation. Hepatic trans-differentiation potential of hMSCs was augmented on nanofibrous scaffold in magnetic field exposure group compared to control groups, as evident by strong expression of hepatocyte specific markers, albumin release, urea synthesis and presence of an inducible cytochrome P450 system. Our results conclude that biomagnetic scaffold of PLLA/collagen/blood clot augments hepatic trans-differentiation of hMSCs under magnetic field influence.

Indexed as

Tissue ScaffoldsCell AdhesionCell DifferentiationCell ProliferationCells, CulturedCompressive StrengthElastic ModulusHepatocytesHumansMagnetic FieldsMechanotransduction, CellularMesenchymal Stem CellsNanofibersParticle SizeStress, MechanicalTensile Strength

Identifiers

PMID25011500
OpenAlexW2032960045

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.