Evidence map›Paper›PMID 40136701›Full record

ReviewCells2025

Biomaterial Properties and Differentiation Strategies for Tenogenic Differentiation of Mesenchymal Stem Cells.

Brendon Roets, Heidi Abrahamse, Anine Crous

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Brendon RoetsLaser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein, P.O. Box 17011, Johannesburg 2028, South Africa.ORCID 0000-0002-9618-9340
Heidi AbrahamseLaser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein, P.O. Box 17011, Johannesburg 2028, South Africa.ORCID 0000-0001-5002-827X
Anine CrousLaser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein, P.O. Box 17011, Johannesburg 2028, South Africa.

Funding

Department of Science and Innovation (DSI) funded African Laser Centre (ALC) HLHA23X task ALC-R007Department of Science and Technology's South African Research Chairs Initiative 98337National Research Foundation of South Africa Thuthuka Instrument TTK2205035996University Research Council 2022URC00513
6 · The paper itself

Abstract

Tendinopathy is a prevalent musculoskeletal condition that affects both aging populations and individuals involved in repetitive, high-intensity activities, such as athletes. Current treatment options primarily address symptom management or involve surgery, which carries a significant risk of complications and re-injury. This highlights the need for regenerative medicine approaches that combine stem cells, biomaterials, and growth factors. However, achieving effective tenogenic differentiation remains challenging due to the absence of standardized differentiation protocols. Consequently, a review of existing research has been conducted to identify optimal biomaterial properties and growth factor protocols. Findings suggest that the ideal biomaterial for tenogenic differentiation should feature a 3D structure to preserve tenogenic expression, incorporate a combination of aligned micro- and nanofibers to promote differentiation, and require further investigation into optimal stiffness. Additionally, growth factor protocols should include an induction phase to initiate tenogenic lineage commitment, followed by a maintenance phase to support matrix production and maturation.

Indexed as

Biocompatible MaterialsCell DifferentiationMesenchymal Stem CellsTendonsAnimalsHumansBiocompatible Materialsbiomaterialsgrowth factorstendinopathytendontendon engineeringtenocytestenogenic differentiation

Identifiers

PMID40136701
PMCPMC11940850

What OpenQuestion holds

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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.