Evidence map›Paper›PMID 41497246›Full record

ArticleJournal of stem cells & regenerative medicine2025

Development of Small Molecular Drug-Loaded Microspheres for Enhanced Cartilage Regeneration.

Hsiang-Chien Tseng, Chih-Pei Hsu, Hung-Sheng Soung, Yu-Chuan Lin, Mao-Hsien Wang

Abstract read
In one paragraph

Article in Journal of stem cells & regenerative medicine, 2025. 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. Review
  2. 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.

Hsiang-Chien TsengDepartment of Anesthesiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Chih-Pei HsuDivision of Neurosurgery, Department of Surgery, Hsinchu Br. of Mackay Memorial Hospital, Hsinchu City, Taiwan.
Hung-Sheng SoungDepartment of Psychiatry, Yuan-Shan Branch of Taipei Veteran General Hospital, Yilan, Taiwan.
Yu-Chuan LinDepartment of Chinese Medicine, China Medical University Hospital, Taipei, Taiwan.
Mao-Hsien WangDepartment of Anesthesia, En Chu Kon Hospital, Sanxia District, New Taipei City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Articular cartilage has limited self-repair ability, making osteoarthritis a major challenge due to aging and mechanical stress. While current therapies provide partial functional improvement, their outcomes remain suboptimal, highlighting the need for regenerative strategies. Mesenchymal stem cells (MSCs) show promises due to their chondrogenic potential, and kartogenin (KGN) enhances this process. This study examines KGN-loaded gelatin microspheres (KMs) for cartilage regeneration. KMs were synthesized via gelatin-KGN dispersion in ice-cooled hexane, followed by glutaraldehyde cross-linking. Scanning electron microscopy showed porous KMs (200-800 μm) with interconnected pores (2-10 μm), while Fourier transform infrared spectroscopy confirmed gelatin and KGN presence. hMSCs were cultured with KMs, showing no cytotoxicity. Gene expression analysis revealed upregulated chondrogenic markers (SOX9, ACAN, COMP, COL2A1). Western blotting and immunofluorescence confirmed increased chondrogenic protein production. Sulfated glycosaminoglycan content increased over four weeks, indicating extracellular matrix maturation. This study demonstrates that KMs effectively deliver KGN, enhancing MSC chondrogenesis. Small molecule-based biomaterials may offer an alternative to growth factors in osteochondral tissue engineering, warranting further in vivo validation.

Indexed as

CartilageKartogeninMicrospheresOsteoarthritisSmall-molecular drug

Identifiers

PMID41497246
PMCPMC12766069

What OpenQuestion holds

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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.