Evidence map›Paper›PMID 39776040›Full record

ReviewChinese journal of integrative medicine2025

Role of Non-coding RNAs in Rheumatoid Arthritis and Supervision Mechanism of Chinese Medicine.

Shu Li, Hao-Xiang Fang, Lei Wan, Jian Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chinese journal of integrative medicine, 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. Review
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

4 authors.

Shu LiDepartment of Rheumalogy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, China.
Hao-Xiang FangThe First Clinical Medical College, Anhui University of Chinese Medicine, Hefei, 230038, China.
Lei WanDepartment of Rheumalogy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, China. yxwanlei@163.com.
Jian LiuDepartment of Rheumalogy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of rheumatoid arthritis (RA) has sharply increased in recent years, posing a serious threat to human health. RA is characterized as a chronic, multisystem disease with morning stiffness and symmetric small joint pain. However, its fundamental processes are poorly understood. With the advancements in molecular biology techniques, a growing body of research indicates that numerous non-coding RNAs (ncRNAs) are essential for the pathogenesis of RA. These ncRNAs not only contribute to the onset of RA but also play a role in the pathological processes of RA development, including synovial immune inflammation and bone destruction. Chinese medicine (single compounds, single herbs, and compound formulae, as well as non-drug therapies such as acupuncture and moxibustion), offer significant benefits for treating RA. This study examined the role of 3 different ncRNA types (circular RNA, long ncRNA, and microRNA) as biomarkers in RA diagnosis, as well as their regulatory roles in rheumatoid arthritis fibroblast-like synoviocytes functions such as inflammatory response, proliferation, cell cycle, apoptosis, and invasion. Additionally, the study explored the mechanisms by which Chinese medicine regulates these ncRNAs, with the goal of offering innovative strategies for RA treatment.

Indexed as

Arthritis, RheumatoidMedicine, Chinese TraditionalRNA, UntranslatedApoptosisBiomarkersHumansRNA, CircularSynoviocytesBiomarkersRNA, CircularRNA, UntranslatedChinese medicinemechanisms of actionnon-coding RNAreviewrheumatoid arthritis

Identifiers

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.