Evidence map›Paper›PMID 32945496›Full record

ArticleMolecular medicine reports2020

Baicalin alleviates collagen‑induced arthritis and suppresses TLR2/MYD88/NF‑κB p65 signaling in rats and HFLS‑RAs.

Lin Bai, Ya Bai, Yuxin Yang, Wei Zhang, Ling Huang, Rui Ma, Li Wang, Haizheng Duan, Qiaofeng Wan

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 28 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

9 authors at 2 institutions in 1 country.

Lin Bai *Department of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Ya Bai *Department of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Yuxin YangDepartment of Clinical Medicine, Medical College, Yanbian University, Yanji, Jilin 133002, P.R. China.
Wei ZhangDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Ling HuangDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Rui MaDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Li WangDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Haizheng DuanDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Qiaofeng WanDepartment of Pathogenic Biology and Immunology, College of Basic Medical Science, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.
Ningxia Medical University · CNYanbian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Baicalin is a flavonoid isolated from the root of Scutellaria baicalensis with anti‑inflammatory, antioxidant and antiapoptotic pharmacological properties. however, the therapeutic effect of baicalin on rheumatoid arthritis (RA) is not completely understood. The present study aimed to explore the therapeutic potential and mechanisms underlying baicalin in collagen‑induced arthritis (CIA) model rats. CIA was induced in male SD rats. The hind paw thickness and severity of joint injury were monitored to assess the onset of arthritis. At 28 days after the initial immunization, different doses of baicalin were administered once daily via oral gavage for 40 days. The radiologic and pathological alterations were examined using X‑ray, and hematoxylin and eosin staining, respectively. ELISA was employed to measure the serum levels of proinflammatory cytokines. Reverse transcription‑quantitative PCR and western blotting were conducted to determine the expression of toll‑like receptor (TLR)2, myeloid differentiation factor 88 (MYD88) and NF‑κB p65. Baicalin treatment noticeably alleviated radiographic and histologic abnormalities in the hind paw joints of CIA model rats in a dose‑dependent manner. The serum levels of proinflammatory cytokines were significantly decreased in baicalin‑treated CIA model rats compared with vehicle‑treated CIA model rats. The mRNA expression levels of TLR2 and MYD88, as well as the protein expression levels of TLR2, MYD88 and NF‑κB p65 were significantly decreased by baicalin treatment in the synovial tissue of CIA model rats and human RA fibroblast‑like synoviocytes. The results suggested that baicalin may exert a beneficial effect on CIA, which may be mediated by inhibiting the TLR2/MYD88/NF‑κB signaling pathway.

Indexed as

AnimalsAnti-Inflammatory Agents, Non-SteroidalArthritis, ExperimentalArthritis, RheumatoidCell LineCollagenCytokinesDisease Models, AnimalFlavonoidsHumansMaleMyeloid Differentiation Factor 88PhytotherapyPlant ExtractsRatsRats, Sprague-DawleyAnti-Inflammatory Agents, Non-SteroidalbaicalinCollagenCytokinesFlavonoidsMYD88 protein, humanMyd88 protein, ratMyeloid Differentiation Factor 88Plant ExtractsRELA protein, humanRela protein, ratScutellaria baicalensis extractTLR2 protein, humanTlr2 protein, ratToll-Like Receptor 2Transcription Factor RelAbaicalinCIAMYD8NF‑ κB p65proinflammatory cytokinesTLR2

Identifiers

PMID32945496
PMCPMC7453616
OpenAlexW3045836968

What OpenQuestion holds

Textmetadata
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.