Evidence map›Paper›PMID 39786670›Full record

ArticleTissue engineering and regenerative medicine2025

Immunomodulation Effects of Porcine Cartilage Acellularized Matrix (pCAM) for Osteoarthritis Treatment.

Ji Seob Kim, Hyeon Jae Kwon, In Sun Hwang, Young Hwa Lee, Kyung-Noh Yoon, Hee-Woong Yun, Jae-Hyeok Jang, Seo Jeong Kim, Zhoodatova Aiana, Seungwoo Kim and 4 more

Abstract read
In one paragraph

Article in Tissue engineering and regenerative medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Cell-Cell or Cell-Biomaterial Interactions for Therapeutic Application.Tissue engineering and regenerative medicine · 2025
    Article
  4. 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

14 authors.

Ji Seob Kim *Division of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Hyeon Jae Kwon *ATEMs, Research and Development Institute, Seoul, 05836, Republic of Korea.
In Sun HwangDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Young Hwa LeeATEMs, Research and Development Institute, Seoul, 05836, Republic of Korea.
Kyung-Noh YoonATEMs, Research and Development Institute, Seoul, 05836, Republic of Korea.
Hee-Woong YunDepartment of Orthopedic Surgery, Ajou University School of Medicine, Suwon, 16499, Republic of Korea.
Jae-Hyeok JangDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Seo Jeong KimDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Zhoodatova AianaDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Seungwoo KimDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Minhee MoonDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea.
Bongki KimDepartment of Animal Resources Science, Kongju National University, Yesan, 32439, Republic of Korea.
Byoung Ju KimATEMs, Research and Development Institute, Seoul, 05836, Republic of Korea. kbz9861@hanmail.net.
Byung-Hyun ChaDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Chuncheon-si, 24341, Republic of Korea. bhcha@kangwon.ac.kr.ORCID http://orcid.org/0000-0003-3943-8854

Funding

National Research Foundation of Korea (NRF) RS-2023-00208529National Research Foundation of Korea (NRF) RS-2023-00277856
6 · The paper itself

Abstract

backgroundPain reduction, immunomodulation, and cartilage repair are key therapeutic goals in osteoarthritis (OA) treatment. In this study, we evaluated the therapeutic effects of porcine cartilage acellularized matrix (pCAM) derived from naive tissue and compared it with the synthetic material polynucleotides (PN) for OA treatment.

methodspCAM was produced from porcine cartilage through physicochemical processing. LC-MS protein profiling identified the key proteins. In vitro experiments involved treating human synovial cell with pCAM and PN to assess cell viability and reductions in pro-inflammatory cytokines (IL-1β and IL-6). In vivo studies utilized a rat DMM-induced OA model. Pain was evaluated in weight-bearing tests, and inflammation reduction was confirmed using specific macrophage markers of CD68, CD86, and CD163 in immunohistochemical staining of synovial tissue. Cartilage regeneration was evaluated by histopathological analyses.

resultsThe major protein components of pCAM include factors integral to cartilage and ECM integrity. They also contain proteins that help reduce inflammation. In vitro studies revealed a decrease in pro-inflammatory cytokines and survival of synovial cells were observed. In vivo treatment with pCAM resulted in a reduction of pain and inflammation, while promoting cartilage regeneration, thereby accelerating the healing process in OA.

conclusionOur findings suggest that pCAM may contribute to the treatment of OA by alleviating synovial inflammation and supporting cartilage regeneration, thereby addressing both the inflammatory and degenerative aspects of the disease.

Indexed as

CartilageImmunomodulationOsteoarthritisAnimalsCytokinesHumansMaleRatsRats, Sprague-DawleySwineSynovial MembraneCytokinesDecellularizationExtracellular MatrixImmunomodulationOsteoarthritis

Identifiers

PMID39786670
PMCPMC12123000

What OpenQuestion holds

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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.