Evidence map›Paper›PMID 23605561›Full record

ArticleInflammation2013

Sinomenine decreases MyD88 expression and improves inflammation-induced joint damage progression and symptoms in rat adjuvant-induced arthritis.

Hui Mu, Ru-Bing Yao, Ling-Jie Zhao, Si-Yu Shen, Zhi-Ming Zhao, Hui Cai

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Article in Inflammation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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 2 institutions in 1 country.

Hui MuDepartment of Integrated Traditional and Western Medicine, Jinling Hospital, School of Medicine, Second Military Medical University (Shanghai), Nanjing, 210002, People's Republic of China.
Ru-Bing Yao
Ling-Jie Zhao
Si-Yu Shen
Zhi-Ming Zhao
Hui Cai
Nanjing General Hospital of Nanjing Military Command · CNJinling Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sinomenine (SIN) is the active principle of the Chinese medical plant Sinomenium acutum which is widely used for the treatment of rheumatoid arthritis (RA) in China. Recently, several groups indicated that myeloid differentiation primary response protein 88 (MyD88) might be associated with disease progression of RA. Here, we observed the effect of SIN on MyD88 expression and showed its therapeutic role in RA. First, immunohistochemical staining in clinical specimens showed that MyD88 was mainly located in characteristic pathological structures of RA synovial tissues. Second, we found that MyD88 was overexpressed in the synovial tissues of the rats with adjuvant-induced arthritis (AIA). Treatment with SIN markedly decreased the expression of MyD88 in AIA rats. Finally, we provided evidences that SIN suppressed inflammation response and inflammation-induced joint destructive progression and arthritis symptoms in AIA rats. Therefore, SIN is an effective therapeutic agent for RA. Targeting MyD88 signaling may provide new methods for the treatment of RA.

Indexed as

AnimalsArthritis, ExperimentalArthritis, RheumatoidDisease ProgressionDrugs, Chinese HerbalInflammationJoint DiseasesMaleMedicine, Chinese TraditionalMorphinansMyeloid Differentiation Factor 88RatsRats, Sprague-DawleySynovial MembraneToll-Like Receptor 2Toll-Like Receptor 4Drugs, Chinese HerbalMorphinansMyd88 protein, ratMyeloid Differentiation Factor 88sinomenineTlr2 protein, ratTlr4 protein, ratToll-Like Receptor 2Toll-Like Receptor 4

Identifiers

PMID23605561
OpenAlexW2080835233

What OpenQuestion holds

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Read underepoch 390

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.