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Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine

Traditional Chinese Medicine (TCM) is extensively utilized in clinical practice due to its therapeutic and preventative treatments for various diseases. With the development of high-throughput sequencing and systems biology, TCM research was transformed from traditional experiment-based approaches t...

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Autores principales: Zhu, Xue, Yao, Qi, Yang, Pengshuo, Zhao, Dan, Yang, Ronghua, Bai, Hong, Ning, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732109/
https://www.ncbi.nlm.nih.gov/pubmed/36506559
http://dx.doi.org/10.3389/fphar.2022.1031051
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author Zhu, Xue
Yao, Qi
Yang, Pengshuo
Zhao, Dan
Yang, Ronghua
Bai, Hong
Ning, Kang
author_facet Zhu, Xue
Yao, Qi
Yang, Pengshuo
Zhao, Dan
Yang, Ronghua
Bai, Hong
Ning, Kang
author_sort Zhu, Xue
collection PubMed
description Traditional Chinese Medicine (TCM) is extensively utilized in clinical practice due to its therapeutic and preventative treatments for various diseases. With the development of high-throughput sequencing and systems biology, TCM research was transformed from traditional experiment-based approaches to a combination of experiment-based and omics-based approaches. Numerous academics have explored the therapeutic mechanism of TCM formula by omics approaches, shifting TCM research from the “one-target, one-drug” to “multi-targets, multi-components” paradigm, which has greatly boosted the digitalization and internationalization of TCM. In this review, we concentrated on multi-omics approaches in principles and applications to gain a better understanding of TCM formulas against various diseases from several aspects. We first summarized frequently used TCM quality assessment methods, and suggested that incorporating both chemical and biological ingredients analytical methods could lead to a more comprehensive assessment of TCM. Secondly, we emphasized the significance of multi-omics approaches in deciphering the therapeutic mechanism of TCM formulas. Thirdly, we focused on TCM network analysis, which plays a vital role in TCM-diseases interaction, and serves for new drug discovery. Finally, as an essential source for storing multi-omics data, we evaluated and compared several TCM databases in terms of completeness and reliability. In summary, multi-omics approaches have infiltrated many aspects of TCM research. With the accumulation of omics data and data-mining resources, deeper understandings of the therapeutic mechanism of TCM have been acquired or will be gained in the future.
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spelling pubmed-97321092022-12-10 Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine Zhu, Xue Yao, Qi Yang, Pengshuo Zhao, Dan Yang, Ronghua Bai, Hong Ning, Kang Front Pharmacol Pharmacology Traditional Chinese Medicine (TCM) is extensively utilized in clinical practice due to its therapeutic and preventative treatments for various diseases. With the development of high-throughput sequencing and systems biology, TCM research was transformed from traditional experiment-based approaches to a combination of experiment-based and omics-based approaches. Numerous academics have explored the therapeutic mechanism of TCM formula by omics approaches, shifting TCM research from the “one-target, one-drug” to “multi-targets, multi-components” paradigm, which has greatly boosted the digitalization and internationalization of TCM. In this review, we concentrated on multi-omics approaches in principles and applications to gain a better understanding of TCM formulas against various diseases from several aspects. We first summarized frequently used TCM quality assessment methods, and suggested that incorporating both chemical and biological ingredients analytical methods could lead to a more comprehensive assessment of TCM. Secondly, we emphasized the significance of multi-omics approaches in deciphering the therapeutic mechanism of TCM formulas. Thirdly, we focused on TCM network analysis, which plays a vital role in TCM-diseases interaction, and serves for new drug discovery. Finally, as an essential source for storing multi-omics data, we evaluated and compared several TCM databases in terms of completeness and reliability. In summary, multi-omics approaches have infiltrated many aspects of TCM research. With the accumulation of omics data and data-mining resources, deeper understandings of the therapeutic mechanism of TCM have been acquired or will be gained in the future. Frontiers Media S.A. 2022-11-25 /pmc/articles/PMC9732109/ /pubmed/36506559 http://dx.doi.org/10.3389/fphar.2022.1031051 Text en Copyright © 2022 Zhu, Yao, Yang, Zhao, Yang, Bai and Ning. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Zhu, Xue
Yao, Qi
Yang, Pengshuo
Zhao, Dan
Yang, Ronghua
Bai, Hong
Ning, Kang
Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title_full Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title_fullStr Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title_full_unstemmed Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title_short Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
title_sort multi-omics approaches for in-depth understanding of therapeutic mechanism for traditional chinese medicine
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732109/
https://www.ncbi.nlm.nih.gov/pubmed/36506559
http://dx.doi.org/10.3389/fphar.2022.1031051
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