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  1. AU="Taixian Li"
  2. AU="Diederich, Jonathan"
  3. AU="Sandra M. Frei"
  4. AU="Vasaikar, Suhas"
  5. AU="Arango, Jesus"
  6. AU="Scott, C. Tim"
  7. AU="Coelho, Luis Francisco Mello(Universidade Estadual Paulista Instituto de Biociências Departamento de Botânica)"
  8. AU="Hesong Zeng"
  9. AU="Babey, Anna-Marie"
  10. AU="Stich, H"
  11. AU=Kuitunen I
  12. AU="Biscaye Pierre E"
  13. AU="Saha, Somen"
  14. AU="Liu, Weihuang"
  15. AU="Nijhuis, Monique"
  16. AU="Ye, Jin-Rong"
  17. AU="Van Not, Hans Pieter"
  18. AU="Liang, Xiao-Hui"
  19. AU="Romano, Raffaella"
  20. AU="Gilles Subra"
  21. AU="Potocnik, Ana"
  22. AU="Butt, Christine"

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  1. Artikel ; Online: Identification and assessment of novel dynamic biomarkers for monitoring non‐traumatic osteonecrosis of the femoral head staging

    Yan Jia / Yanqiong Zhang / Shuwen Li / Ruihan Li / Weijie Li / Taixian Li / Rongtian Wang / Guangrui Huang / Haijun He / Na Lin / Weiheng Chen

    Clinical and Translational Medicine, Vol 13, Iss 6, Pp n/a-n/a (2023)

    2023  

    Schlagwörter Medicine (General) ; R5-920
    Sprache Englisch
    Erscheinungsdatum 2023-06-01T00:00:00Z
    Verlag Wiley
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: 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 / Minqun Guo / Quan Jiang / Na Lin

    Clinical and Translational Medicine, Vol 10, Iss 6, Pp n/a-n/a (2020)

    2020  

    Abstract: Abstract Background To 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. ... ...

    Abstract Abstract Background To 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. Methods A 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. Results The 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. Conclusions LncRNA 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.
    Schlagwörter competitive endogenous RNA ; personalized medicine ; rheumatoid arthritis ; tripterysium glycosides ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2020-10-01T00:00:00Z
    Verlag Wiley
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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