Evidence map›Paper›PMID 39673582›Full record

ArticleCurrent medical science2024

Kaempferol Improved Rheumatoid Arthritis by Regulating the Immune Imbalance of Treg/Th17.

Nan Li, Yan-Kui Yi, Jie Zhao, Qiang Wang, Jie-Ying Yu, Yan-Ting You, Yong-Yan Zhu, Yan-Yan Liu, Xiao-Shan Zhao, Dong-Mei Pan

Abstract read
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In one paragraph

Article in Current medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Nan Li *Department of Clinical Basis of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Yan-Kui Yi *Department of Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China.
Jie Zhao *Health College of Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Qiang WangDepartment of Traditional Chinese Medicine, People's Hospital of Yangjiang, Guangzhou, 529500, China.
Jie-Ying YuDepartment of Clinical Basis of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China.
Yan-Ting YouDepartment of Syndrome Laboratory of Integrated Chinese and Western Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China.
Yong-Yan ZhuDepartment of Chemistry and Analysis of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China.
Yan-Yan LiuDepartment of Internal Medicine of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China. 799042406@qq.com.
Xiao-Shan ZhaoDepartment of Syndrome Laboratory of Integrated Chinese and Western Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China. zhaoxs0609@163.com.
Dong-Mei PanDepartment of Clinical Basis of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China. dongmeipan1228@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to explore the therapeutic effects of kaempferol (Kae) on rheumatoid arthritis (RA) and to elucidate the underlying mechanisms.

methodsThe collagen-induced arthritis (CIA) model was established using collagen II to induce RA. Mice were treated with Kae at a dose of 25 or 50 mg/kg/day via gavage. Pathological changes in the ankle joint were analyzed. Enzyme-linked immunosorbent assay (ELISA) was employed to measure the levels of inflammatory factors. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was used to assess the expression of genes associated with the balance of regulatory T (Treg)/T helper 17 (Th17) cells. Flow cytometry was utilized to determine the Treg/Th17 ratio. Furthermore, these techniques were employed to evaluate the impact of miR-34a and Foxp3 dysregulation on cellular functions in RA under the influence of Kae. Dual luciferase reporter assay was conducted to analyze the binding of miR-34a to Foxp3.

resultsTreatment with Kae led to a downregulation of receptor-related orphan receptor gamma t (RORγt) and IL-17 expression, and an upregulation of Foxp3, IL-10, and TGF-β expression in CIA mice. Kae intervention inhibited the production of proinflammatory cytokines and increased the production of anti-inflammatory cytokines. Furthermore, Kae treatment suppressed the expression of miR-34a, which was identified as a target of miR-34a. Finally, Kae regulated Treg/ Th17 balance-related genes and cellular inflammation through the miR-34a/Foxp3 axis.

conclusionThe study demonstrated that Kae effectively ameliorates CIA in mice by modulating the Treg/Th17 balance and related genes via the miR-34a/Foxp3 axis. These findings suggest that Kae may serve as a promising therapeutic agent for the treatment of RA and for restoring immune homeostasis.

Indexed as

Arthritis, ExperimentalArthritis, RheumatoidForkhead Transcription FactorsKaempferolsMicroRNAsTh17 CellsT-Lymphocytes, RegulatoryAnimalsCytokinesDisease Models, AnimalInterleukin-10Interleukin-17MaleMiceMice, Inbred DBANuclear Receptor Subfamily 1, Group F, Member 3CytokinesForkhead Transcription FactorsFoxp3 protein, mouseInterleukin-10Interleukin-17kaempferolKaempferolsMicroRNAsNuclear Receptor Subfamily 1, Group F, Member 3Rorc protein, mouseFoxp3kaempferolmiR-34arheumatoid arthritisTreg/Th17

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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.