Evidence map›Paper›PMID 33135351›Full record

ArticleClinical and translational medicine2020

Inferences of individual differences in response to tripterysium glycosides across patients with Rheumatoid arthritis using a novel ceRNA regulatory axis.

Yanqiong Zhang, Xiaoyue Wang, Weijie Li, Hailong Wang, Xiaoli Yin, Funeng Jiang, Xiaohui Su, Wenjia Chen, Taixian Li, Xia Mao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. 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
1.1field-weighted citation impact, top 25% 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, 20 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

13 authors at 4 institutions in 1 country.

Yanqiong ZhangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.ORCID https://orcid.org/0000-0002-9358-111X
Xiaoyue WangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Weijie LiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Hailong WangDivision of Rheumatology, Guang An Men Hospital, China Academy of Chinese Medical Science, Beijing, P. R. China.
Xiaoli YinCollege of Life Science, South China Normal University, Guangzhou, P. R. China.
Funeng JiangGuangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, South China University of Technology, Guangzhou, P. R. China.
Xiaohui SuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Wenjia ChenInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Taixian LiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Xia MaoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Minqun GuoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Quan JiangDivision of Rheumatology, Guang An Men Hospital, China Academy of Chinese Medical Science, Beijing, P. R. China.
Na LinInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, P. R. China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina Academy of Chinese Medical Sciences · CNSouth China Normal University · CNSouth China University of Technology · CN

Funding

Beijing Municipal Natural Science Foundation 7192139Fundamental Research Funds for the Central public welfare research institutes Z2017082Fundamental Research Funds for the Central public welfare research institutes ZXKT19013National Key Research and Development Program of China 2018YFC1705201National Key Research and Development Program of China 2019ZX09731-002National Natural Science Foundation of China 81974526
6 · The paper itself

Abstract

backgroundTo identify biomarkers for guiding therapy and predicting clinical response of Tripterysium Glycosides Tablets (TGT) treatment is an urgent task due to individual differences in TGT response across rheumatoid arthritis (RA) patients. Competing endogenous RNA (ceRNA) regulatory system may influence drug response with involvement in diverse biological processes. Herein, we aimed to identify a TGT response-related ceRNA axis.

methodsA TGT response-related ceRNA axis was screened according to clinical cohort-based RNA expression profiling, lncRNA-mRNA coexpression, and ceRNA network analyses. Its clinical relevance was evaluated by computational modeling. Regulatory mechanisms of ceRNA axis were also experimentally investigated.

resultsThe ceRNA regulatory axis combined with lncRNA ENST00000494760, miR-654-5p, and C1QC was identified as a candidate biomarker for RA patients' response to TGT. Both ENST00000494760 and C1QC mRNA expression were significantly lower, while miR-654-5p expression was dramatically higher in TGT responders than nonresponders. Its clinical relevance was verified by computational modeling based on both independent clinical validation cohort and collagen-induced arthritis (CIA) mice. Mechanistically, miR-654-5p directly bound to the 3'-untranslated region of both ENST00000494760 and C1QC mRNA to inhibit their expression. Moreover, miR-654-5p suppressed C1QC mRNA expression, but ENST00000494760 bound to miR-654-5p and relieved its repression on C1QC mRNA, leading to RA aggressive progression and weak TGT response.

conclusionsLncRNA ENST00000494760 overexpression may sponge miR-654-5p to promote C1QC expression in RA patients. This novel ceRNA axis may serve as a biomarker for screening the responsive RA patients to TGT treatment, which will allow improved personalized healthcare.

Indexed as

competitive endogenous RNApersonalized medicinerheumatoid arthritistripterysium glycosides

Identifiers

PMID33135351
PMCPMC7545341
OpenAlexW3092201746

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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.