Evidence map›Paper›PMID 36119361›Full record

ReviewChinese herbal medicines2021

Targeting immunometabolism by active ingredients derived from traditional Chinese medicines for treatment of rheumatoid arthritis.

Yu-Fei He, Chu-Tian Mai, Hu-Dan Pan, Liang Liu, Hua Zhou, Ying Xie

Open access · goldAbstract readReview
In one paragraph

Review in Chinese herbal medicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yu-Fei HeState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Chu-Tian MaiState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Hu-Dan PanState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Liang LiuState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Hua ZhouState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Ying XieState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau (SAR), China.
Macau University of Science and Technology · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA), the most common inflammatory arthropathy word wild, is a systemic autoimmune disease that mainly affects the synovium of joints with a high disability rate. Metabolic mis-regulation has emerged as a fundamental pathogenesis of RA linked to immune cell dysfunction, while targeting immunometabolism provides a new and effective approach to regulate the immune responses and thus alleviate the symptom of RA. Recently, natural active compounds from traditional Chinese medicines (TCMs) have potential therapeutic effects on RA and regulating immunometabolism. In this review, in addition to updating the connection between cellular metabolism and cell function in immune cells of RA, we summarized that the anti-inflammatory mechanisms of the potential natural compounds from TCM by targeting metabolic reprogramming of immune cells, and discusses them as a rich resource for providing the new potential paradigm for the treatment of RA.

Indexed as

immune cellsimmunometabolismnatural compoundsrheumatoid arthritistraditional Chinese medicines

Identifiers

PMID36119361
PMCPMC9476673
OpenAlexW3200927763

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.