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Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review
Background: Deciphering the biological basis of traditional Chinese medicine (TCM) syndromes in complex diseases is challenging. Rapid advances in multi-omics approaches provide new opportunities to unveil the biological basis of TCM syndromes. We intend to summarize the latest significant progress...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489218/ https://www.ncbi.nlm.nih.gov/pubmed/36147315 http://dx.doi.org/10.3389/fphar.2022.980650 |
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author | Liu, Tingting Qin, Mingzhen Xiong, Xuejiao Lai, Xinxing Gao, Ying |
author_facet | Liu, Tingting Qin, Mingzhen Xiong, Xuejiao Lai, Xinxing Gao, Ying |
author_sort | Liu, Tingting |
collection | PubMed |
description | Background: Deciphering the biological basis of traditional Chinese medicine (TCM) syndromes in complex diseases is challenging. Rapid advances in multi-omics approaches provide new opportunities to unveil the biological basis of TCM syndromes. We intend to summarize the latest significant progress and highlight the crucial value of applying multi-omics approaches to reveal TCM syndromes of stroke in a new horizon. Methods: We systematically searched PubMed, EMBASE, Web of Science Core Collection (WOSCC), Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang database and China Biology Medicine Database (SinoMed) for relevant studies from their inception to 31 March 2022, and conducted a comprehensive systematic review (PROSPERO registration number: CRD42021285922). Results: A total of 43 relevant studies were included in the final systematic review, genomics, transcriptomics, proteomics, and metabolomics were all involved. Some gene polymorphisms, differential lncRNAs, mRNAs, miRNAs, proteins, and metabolites may be associated with TCM syndromes of stroke. In addition, some studies conducted a preliminary exploration on the different diseases with the same TCM syndrome. The results showed that thioredoxin-dependent peroxidase reductase may be the specific marker protein of Liver-yang transforming into wind syndrome, and the network formed by mir-146b-5p, -199a-5p, and 23 targeted mRNAs may be the biomarker of Blood-stasis syndrome. Conclusion: Multi-omics technologies have served as powerful tools to investigate the complexity of TCM syndromes and may hold the promise of promoting the modernization of TCM as well as personalized medicine of TCM in stroke. |
format | Online Article Text |
id | pubmed-9489218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94892182022-09-21 Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review Liu, Tingting Qin, Mingzhen Xiong, Xuejiao Lai, Xinxing Gao, Ying Front Pharmacol Pharmacology Background: Deciphering the biological basis of traditional Chinese medicine (TCM) syndromes in complex diseases is challenging. Rapid advances in multi-omics approaches provide new opportunities to unveil the biological basis of TCM syndromes. We intend to summarize the latest significant progress and highlight the crucial value of applying multi-omics approaches to reveal TCM syndromes of stroke in a new horizon. Methods: We systematically searched PubMed, EMBASE, Web of Science Core Collection (WOSCC), Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang database and China Biology Medicine Database (SinoMed) for relevant studies from their inception to 31 March 2022, and conducted a comprehensive systematic review (PROSPERO registration number: CRD42021285922). Results: A total of 43 relevant studies were included in the final systematic review, genomics, transcriptomics, proteomics, and metabolomics were all involved. Some gene polymorphisms, differential lncRNAs, mRNAs, miRNAs, proteins, and metabolites may be associated with TCM syndromes of stroke. In addition, some studies conducted a preliminary exploration on the different diseases with the same TCM syndrome. The results showed that thioredoxin-dependent peroxidase reductase may be the specific marker protein of Liver-yang transforming into wind syndrome, and the network formed by mir-146b-5p, -199a-5p, and 23 targeted mRNAs may be the biomarker of Blood-stasis syndrome. Conclusion: Multi-omics technologies have served as powerful tools to investigate the complexity of TCM syndromes and may hold the promise of promoting the modernization of TCM as well as personalized medicine of TCM in stroke. Frontiers Media S.A. 2022-09-06 /pmc/articles/PMC9489218/ /pubmed/36147315 http://dx.doi.org/10.3389/fphar.2022.980650 Text en Copyright © 2022 Liu, Qin, Xiong, Lai and Gao. 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 Liu, Tingting Qin, Mingzhen Xiong, Xuejiao Lai, Xinxing Gao, Ying Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title | Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title_full | Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title_fullStr | Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title_full_unstemmed | Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title_short | Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review |
title_sort | multi-omics approaches for deciphering the complexity of traditional chinese medicine syndromes in stroke: a systematic review |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489218/ https://www.ncbi.nlm.nih.gov/pubmed/36147315 http://dx.doi.org/10.3389/fphar.2022.980650 |
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