35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Deciphering the toxicity-effect relationship and action patterns of traditional Chinese medicines from a smart data perspective: a comprehensive review

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In Chinese medicine, the primary considerations revolve around toxicity and effect. The clinical goal is to achieve maximize effect while minimizing toxicity. Nevertheless, both clinical and experimental research has revealed a distinct relationship between these two patterns of action in toxic Traditional Chinese Medicines (TCM). These TCM often exhibit characteristic “double-sided” or “multi-faceted” features under varying pathological conditions, transitioning between effective and toxic roles. This complexity adds a layer of challenge to unraveling the ultimate objectives of Traditional Chinese medicine. To address this complexity, various hypotheses have been proposed to explain the toxicity and effect of Traditional Chinese Medicines. These hypotheses encompass the magic shrapnel theory for effect, the adverse outcome pathway framework, and the indirect toxic theory for toxicity. This review primarily focuses on high-, medium-, and low-toxicity Traditional Chinese Medicines as listed in Chinese Pharmacopoeia. It aims to elucidate the essential intrinsic mechanisms and elements contributing to their toxicity and effectiveness. The critical factors influencing the mechanisms of toxicity and effect are the optimal dosage and duration of TCM administration. However, unraveling the toxic-effect relationships in TCM presents a formidable challenge due to its multi-target and multi-pathway mechanisms of action. We propose the integration of multi-omics technology to comprehensively analyze the fundamental metabolites, mechanisms of action, and toxic effects of TCM. This comprehensive approach can provide valuable insights into the intricate relationship between the effect and toxicity of these TCM.

          Related collections

          Most cited references91

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Multi-omics approaches to disease

          High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of “integrative genetics”. Other omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyday methodology of biological researchers. In this review, we provide an overview of such omics technologies and focus on methods for their integration across multiple omics layers. As compared to studies of a single omics type, multi-omics offers the opportunity to understand the flow of information that underlies disease.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Traditional Chinese medicine network pharmacology: theory, methodology and application.

            Traditional Chinese medicine (TCM) has a long history of viewing an individual or patient as a system with different statuses, and has accumulated numerous herbal formulae. The holistic philosophy of TCM shares much with the key ideas of emerging network pharmacology and network biology, and meets the requirements of overcoming complex diseases, such as cancer, in a systematic manner. To discover TCM from a systems perspective and at the molecular level, a novel TCM network pharmacology approach was established by updating the research paradigm from the current "one target, one drug" mode to a new "network target, multi-components" mode. Subsequently, a set of TCM network pharmacology methods were created to prioritize disease-associated genes, to predict the target profiles and pharmacological actions of herbal compounds, to reveal drug-gene-disease co-module associations, to screen synergistic multi-compounds from herbal formulae in a high-throughput manner, and to interpret the combinatorial rules and network regulation effects of herbal formulae. The effectiveness of the network-based methods was demonstrated for the discovery of bioactive compounds and for the elucidation of the mechanisms of action of herbal formulae, such as Qing-Luo-Yin and the Liu-Wei-Di-Huang pill. The studies suggest that the TCM network pharmacology approach provides a new research paradigm for translating TCM from an experience-based medicine to an evidence-based medicine system, which will accelerate TCM drug discovery, and also improve current drug discovery strategies. Copyright © 2013 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Multisociety Consensus Quality Improvement Revised Consensus Statement for Endovascular Therapy of Acute Ischemic Stroke.

                Bookmark

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2081950/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/1445235/overviewRole:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/968557/overviewRole: Role: Role:
                Role: Role: Role:
                Role: Role:
                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/576708/overviewRole: Role: Role: Role:
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                16 October 2023
                2023
                : 14
                : 1278014
                Affiliations
                [1] 1 State Key Laboratory of Southwestern Chinese Medicine Resources , School of Pharmacy , Chengdu University of Traditional Chinese Medicine , Chengdu, China
                [2] 2 Department of Pharmacy , The Fifth Medical Center of the PLA General Hospital , Beijing, China
                Author notes

                Edited by: Wirginia Kukula-Koch, Medical University of Lublin, Poland

                Reviewed by: Can Tu, Beijing University of Chinese Medicine, China

                Jia-Wen Shou, The Chinese University of Hong Kong, China

                *Correspondence: Xiao Ma, tobymaxiao@ 123456cdutcm.edu.cn ; Yanling Zhao, zhaoyl2855@ 123456126.com
                Article
                1278014
                10.3389/fphar.2023.1278014
                10617680
                2328644f-7e60-44c1-8151-bc859d0a3619
                Copyright © 2023 Li, Deng, Xiong, Hu, Chen, Zhang, Ma and Zhao.

                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.

                History
                : 15 August 2023
                : 05 October 2023
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Major Program of the National Natural Science Foundation of China (No. 82192915).
                Categories
                Pharmacology
                Review
                Custom metadata
                Ethnopharmacology

                Pharmacology & Pharmaceutical medicine
                toxicity,effect,relationship,traditional chinese medicine,multiple omics

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content155

                Most referenced authors1,801