Evidence map›Paper›PMID 40590047›Full record

ReviewJournal of pain research2025

Epigenetics and Herbs: Potential Therapeutic Strategies for Osteoarthritis of the Knee.

Yihui Zheng, Jiahui Wang, Lei Wang, Yang Zheng, Wen Qi

Abstract readReview
In one paragraph

Review in Journal of pain research, 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. Article
  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.

Yihui ZhengDepartment of Medicine, Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, 530222, People's Republic of China.
Jiahui WangDepartment of Medicine, Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, 530222, People's Republic of China.
Lei WangDepartment of Medicine, Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, 530222, People's Republic of China.
Yang Zheng *Department of Medicine, Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, 530222, People's Republic of China.
Wen Qi *Department of Medicine, Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, 530222, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis (KOA) is a complex joint disease characterized by progressive cartilage degeneration with programmed cell death of chondrocytes. Programmed cell death (PCD) of chondrocytes plays a central role in the development of knee osteoarthritis, and epigenetics provides new explanations for this complex biological process. By regulating DNA methylation, histone modification and non-coding RNA, epigenetic mechanisms can significantly affect chondrocyte survival and apoptosis without altering the gene sequence. Recent studies have found that TCM can intervene in the epigenetic regulatory network by targeting epigenetic enzymes with active ingredients, non-coding RNA-mediated co-regulation, and epigenetic-metabolic reprogramming. In this paper, we review the latest studies on epigenetics in chondrocyte programmed cell death, focusing on the mechanisms of DNA methylation, histone modification, and non-coding RNAs, such as miRNAs and lncRNAs, and also discuss the interventional roles of TCM in this process, providing therapeutic references to delve into the pathogenesis of KOA.

Indexed as

chondrocytesepigeneticsknee osteoarthritisprogrammed deathtraditional Chinese medicine

Identifiers

PMID40590047
PMCPMC12208137

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.