Application of omics technologies in studies on antitumor effects of Traditional Chinese Medicine

IF 5.3 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE
Peng Tan, Xuejiao Wei, Huiming Huang, Fei Wang, Zhuguo Wang, Jinxin Xie, Longyan Wang, Dongxiao Liu, Zhongdong Hu
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引用次数: 0

Abstract

Traditional Chinese medicine (TCM) is considered to be one of the most comprehensive and influential form of traditional medicine. It plays an important role in clinical treatment and adjuvant therapy for cancer. However, the complex composition of TCM presents challenges to the comprehensive and systematic understanding of its antitumor mechanisms, which hinders further development of TCM with antitumor effects. Omics technologies can immensely help in elucidating the mechanism of action of drugs. They utilize high-throughput sequencing and detection techniques to provide deeper insights into biological systems, revealing the intricate mechanisms through which TCM combats tumors. Multi-omics approaches can be used to elucidate the interrelationships among different omics layers by integrating data from various omics disciplines. By analyzing a large amount of data, these approaches further unravel the complex network of mechanisms underlying the antitumor effects of TCM and explain the mutual regulations across different molecular levels. In this study, we presented a comprehensive overview of the recent progress in single-omics and multi-omics research focused on elucidating the mechanisms underlying the antitumor effects of TCM. We discussed the significance of omics technologies in advancing research on the antitumor properties of TCM and also provided novel research perspectives and methodologies for further advancing this research field.
在中药抗肿瘤作用研究中应用全息技术
中医被认为是最全面、最具影响力的传统医学之一。它在癌症的临床治疗和辅助治疗中发挥着重要作用。然而,中药成分复杂,对全面系统地了解其抗肿瘤机制提出了挑战,阻碍了具有抗肿瘤作用的中药的进一步发展。Omics 技术对阐明药物的作用机制大有帮助。它们利用高通量测序和检测技术深入了解生物系统,揭示中药抗肿瘤的复杂机制。多组学方法通过整合来自不同组学学科的数据,可用于阐明不同组学层次之间的相互关系。通过分析大量数据,这些方法可进一步揭示中药抗肿瘤作用的复杂机制网络,并解释不同分子水平之间的相互调控。在本研究中,我们全面综述了近年来以阐明中药抗肿瘤作用机制为重点的单组学和多组学研究进展。我们讨论了 omics 技术在推进中药抗肿瘤特性研究方面的意义,并为进一步推进这一研究领域提供了新的研究视角和方法。
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来源期刊
Chinese Medicine
Chinese Medicine INTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍: Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine. Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies. Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.
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