Guangran Hu, Xuan Li, Yinqiu Wu, Shengzhe Zhang, Guilan Jin, Ning Ding, Jun Zhang, Hua Dai
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引用次数: 0
Abstract
Introduction: Cancer Cachexia (CC) is a systemic wasting syndrome characterized by persistent skeletal muscle depletion. This study aims to systematically evaluate the therapeutic effect of the Fu-zheng-yi-qi recipe (FZYQR) against CC and to explore the potential molecular mechanisms underlying its ameliorative effects on muscle atrophy.
Methods: The components of FZYQR were characterized using UPLC-Class Plus/VION IMS QTof. Pharmacological network analysis was performed to predict the therapeutic targets of FZYQR. An in vivo tumor cachexia model was established by subcutaneously implanting C26 tumor cells into male BALB/c mice. The therapeutic efficacy of FZYQR was evaluated by monitoring changes in body weight, grip strength, skeletal muscle mass, pathological progression, blood biochemical parameters, and inflammatory cytokine levels. The therapeutic mechanism underlying muscle atrophy was validated by qPCR and Western blot.
Results: Among the major bioactive components of FZYQR, luteolin and quercetin play critical roles in treating CC. FZYQR significantly ameliorated muscle atrophy and associated symptoms in a well-established mouse model of CC. Mechanistically, upon FZYQR intervention, the expression level of JUN in skeletal muscle tissues of cachectic mice was markedly inhibited, accompanied by downregulation of the muscle atrophy biomarkers Atrogin-1 and MuRF1.
Discussion: The specific mechanism underlying CC-induced muscle atrophy remains to be further elucidated. This study demonstrates the therapeutic potential of FZYQR for CC, and also provides a research strategy for the future development of natural products with anti-muscle atrophy effects.
Conclusion: FZYQR exerts protective effects against CC-induced muscle atrophy, potentially through the modulation of the JNK/c-Jun signaling pathway.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
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High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
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Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
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Compound management
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Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
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Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
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