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Analgesic Alkaloids Derived From Traditional Chinese Medicine in Pain Management

期刊

FRONTIERS IN PHARMACOLOGY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fphar.2022.851508

关键词

analgesics; TCM (trad; Chinese medicine); chronic pain; combinational therapy; alkaloids

资金

  1. National Key Technologies R & D Program of China [2018YFA0108602]
  2. Open fund of the state key laboratory coal resources [SKLCRSM21KFA11]
  3. CAMS Innovation Fund for Medical Sciences [2017-I2M-BR-07]
  4. Fundamental Research Funds for the Central Universities [3332018086]
  5. The Drug Innovation Major Project [2018ZX09711001-011-003]
  6. [2019-I2M-5-055]

向作者/读者索取更多资源

Chronic pain is a common health problem, and the current medication options have limited effectiveness and side effects. Alkaloids from traditional Chinese medicine (TCM) have been studied for their potential multi-target effects. This article introduces several well-studied analgesic alkaloids derived from TCM and their mechanisms and clinical applications, using the concept of drug-cloud (dCloud) theory. Drug combinations and the combination of herbal drugs with specific properties in TCM are explored for better therapeutic effects.
Chronic pain is one of the most prevalent health problems. The establishment of chronic pain is complex. Current medication for chronic pain mainly dependent on anticonvulsants, tricyclic antidepressants and opioidergic drugs. However, they have limited therapeutic efficacy, and some even with severe side effects. We turned our interest into alkaloids separated from traditional Chinese medicine (TCM), that usually act on multiple drug targets. In this article, we introduced the best-studied analgesic alkaloids derived from TCM, including tetrahydropalmatine, aloperine, oxysophocarpine, matrine, sinomenine, ligustrazine, evodiamine, brucine, tetrandrine, Stopholidine, and lappaconitine, focusing on their mechanisms and potential clinical applications. To better describe the mechanism of these alkaloids, we adopted the concept of drug-cloud (dCloud) theory. dCloud illustrated the full therapeutic spectrum of multitarget analgesics with two dimensions, which are direct efficacy, including inhibition of ion channels, activating gamma-Aminobutyric Acid/opioid receptors, to suppress pain signal directly; and background efficacy, including reducing neuronal inflammation/oxidative stress, inhibition of glial cell activation, restoring the balance between excitatory and inhibitory neurotransmission, to cure the root causes of chronic pain. Empirical evidence showed drug combination is beneficial to 30-50% chronic pain patients. To promote the discovery of effective analgesic combinations, we introduced an ancient Chinese therapeutic regimen that combines herbal drugs with Jun, Chen, Zuo, and Shi properties. In dCloud, Jun drug acts directly on the major symptom of the disease; Chen drug generates major background effects; Zuo drug has salutary and supportive functions; and Shi drug facilitates drug delivery to the targeted tissue. Subsequently, using this concept, we interpreted the therapeutic effect of established analgesic compositions containing TCM derived analgesic alkaloids, which may contribute to the establishment of an alternative drug discovery model.

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