Evidence map›Paper›PMID 40525425›Full record

ReviewCurrent stem cell research & therapy2025

Modulating Proliferation, Migration and Differentiation of Mesenchymal Stem Cells Using Interleukins.

Sankaranarayanan Srinivasan, Nalinkanth V Ghone

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current stem cell research & therapy, 2025. 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
–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

0 citing papers in PubMed.

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

2 authors.

Sankaranarayanan SrinivasanDepartment of Biotechnology, Indian Institute of Technology Madras, Chennai, 600 036, Tamil Nadu, India.
Nalinkanth V GhoneDepartment of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, 603 110, Tamil Nadu, India.ORCID 0000-0002-0968-4790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal Stem Cells (MSCs) are multipotent stem cells that are obtained from various tissue sources such as bone marrow, adipose tissues, umbilical cords, dental pulps, and peripheral blood has high regenerative potential, migratory abilities, and immunosuppressive properties. These properties make them attractive candidates for tissue engineering, immunosuppressive therapies, and in vivo drug deliveries. MSCs, because of their high propensity to home in an injured tissue microenvironment, are exposed to various cytokines. These cytokines modulate the activity of MSCs to help in the regeneration of injured tissue. Interleukins are one such cytokine that is present in injured tissue microenvironment and plays significant roles in the activation, differentiation, proliferation, maturation, migration, and adhesion of not only immune cells but also MSCs. Interleukins, through both autocrine and paracrine signaling mechanisms, modulate the functioning of MSCs. This article reviews how interleukins influence MSCs by discussing their signaling pathways, their effect on differentiation and other biological effects. A comprehensive understanding of the influence of interleukins on MSCs may provide insights to manipulate improving the therapeutic potential of MSCs or reducing potential risks such as undesirable immune response and tumor formation.

Indexed as

Cell DifferentiationCell MovementCell ProliferationInterleukinsMesenchymal Stem CellsAnimalsHumansSignal TransductionTissue EngineeringInterleukinsdifferentiationinterleukinsMesenchymal stem cellsmigrationmodulationproliferation.receptorssignaling pathways

Identifiers

PMID40525425

What Socratic 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 Socratic graph.