Evidence map›Paper›PMID 40588525›Full record

ReviewExperimental & molecular medicine2025

Progressing future osteoarthritis treatment toward precision medicine: integrating regenerative medicine, gene therapy and circadian biology.

Ee Hyun Kim, Seungho Jeon, Junyoung Park, Ji Hyun Ryu, Ali Mobasheri, Csaba Matta, Eun-Jung Jin

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  3. p21 Knockdown as a Therapeutic Strategy for Focal Cartilage Injury Repair.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

7 authors.

Ee Hyun KimIntegrated Omics Institute, Wonkwang University, Iksan, Republic of Korea.
Seungho JeonDepartment of Biomedical Materials Science, Graduate School of JABA, Wonkwang University, Iksan, Republic of Korea.
Junyoung ParkDepartment of Biomedical Materials Science, Graduate School of JABA, Wonkwang University, Iksan, Republic of Korea.
Ji Hyun RyuIntegrated Omics Institute, Wonkwang University, Iksan, Republic of Korea.
Ali MobasheriResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. ali.mobasheri@oulu.fi.
Csaba MattaDepartment of Anatomy, Histology and Embryology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. matta.csaba@med.unideb.hu.
Eun-Jung JinIntegrated Omics Institute, Wonkwang University, Iksan, Republic of Korea. jineunjung@wku.ac.kr.ORCID http://orcid.org/0000-0002-6874-3017

Funding

National Research Foundation (NRF) 2022R1A4A1031259
6 · The paper itself

Abstract

Osteoarthritis (OA) is marked by cartilage degradation, inflammation and varied pain. Traditional treatments such as nonsteroidal anti-inflammatory drugs primarily offer symptom relief without halting disease progression. Advances in regenerative medicine and stem cell and gene therapies, combined with innovative biomaterials such as hydrogels, present new opportunities to target the underlying pathophysiology of OA. This review explores these promising approaches alongside the emerging roles of circadian biology and organelle health in OA pathogenesis and therapy. It highlights the shift toward precision medicine, offering a comprehensive analysis of emerging targeted strategies aimed at improving OA management and patient outcomes.

Indexed as

Circadian RhythmGenetic TherapyOsteoarthritisPrecision MedicineRegenerative MedicineAnimalsHumans

Identifiers

PMID40588525
PMCPMC12229678

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.