Evidence map›Paper›PMID 41181702›Full record

ArticleFrontiers in cell and developmental biology2025

Enhanced tenogenic potential of tendon-derived mesenchymal stem cells: transcriptomic profiling and

Hadeer Khaled, Mohammed Zayed, Bumseok Kim, Byung-Hoon Jeong, Sang-Ik Oh

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Hadeer Khaled *Laboratory of Veterinary Pathology and Biosafety Research Institute, College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea.
Mohammed Zayed *Korea Zoonosis Research Institute, Jeonbuk National University, Iksan, Republic of Korea.
Bumseok KimLaboratory of Veterinary Pathology and Biosafety Research Institute, College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea.
Byung-Hoon JeongKorea Zoonosis Research Institute, Jeonbuk National University, Iksan, Republic of Korea.
Sang-Ik OhLaboratory of Veterinary Pathology and Biosafety Research Institute, College of Veterinary Medicine, Jeonbuk National University, Iksan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendon injuries represent a significant clinical challenge in the treatment of musculoskeletal disorders due to their restricted intrinsic regenerative capacity and propensity for scar tissue formation. Tendon-derived mesenchymal stem cells (TD-MSCs) are considered a promising therapeutic approach because of their ability to differentiate into tenocytes, modulate inflammation, and secrete trophic factors that facilitate tendon regeneration. However, the molecular mechanisms underlying their effects and therapeutic advantages over other MSC sources remain unclear. This study aimed to elucidate the molecular basis of the therapeutic potential of TD-MSCs through a comprehensive transcriptomic comparison with bone marrow-derived MSCs (BM-MSCs) and evaluate their tenogenic differentiation capacity and regenerative efficacy. We isolated and characterized TD-MSCs and BM-MSCs using flow cytometry, tri-lineage differentiation assays, and proliferation assays (CCK-8) and examined their transcriptomic profiles via RNA sequencing. Subsequently, the tenogenic differentiation potential of TD-MSCs was evaluated

Indexed as

Achilles tendonbone marrowmesenchymal stem cellsRNA-seqtendon-derived mesenchymal stem cellstendon repair

Identifiers

PMID41181702
PMCPMC12574453

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.