Berberine in the treatment of metabolism-related chronic diseases: A drug cloud (dCloud) effect to target multifactorial disorders.


Journal

Pharmacology & therapeutics
ISSN: 1879-016X
Titre abrégé: Pharmacol Ther
Pays: England
ID NLM: 7905840

Informations de publication

Date de publication:
05 2020
Historique:
received: 11 01 2019
accepted: 17 01 2020
pubmed: 1 2 2020
medline: 10 4 2021
entrez: 1 2 2020
Statut: ppublish

Résumé

Berberine (BBR) is a multi-target drug (MTD) that has proven effective in the treatment of metabolism-related chronic diseases (CDs). However, the mode of action (MOA) of BBR remains to be clarified. At a cellular level, the inhibitory effect of BBR on mitochondrial enzymes is probably responsible for many of its biological activities, including the activation of low-density lipoprotein receptor (LDLR), AMP-activated protein kinase (AMPK) and insulin receptor (InsR); these biological activities contribute to ameliorate peripheral blood metabolic profiles, e.g. by reducing plasma lipids and glucose levels, thus improving signs and symptoms of metabolic disorders. In this perspective, BBR acts as a targeted therapy. However, it also exerts pleiotropic systemic activities on some root causes of CDs that include antioxidant / anti-inflammatory effects and modifications of gut microbiota composition and metabolism, which may also contribute to its disease-modifying effects. After reviewing the different MOA of BBR, here we propose that BBR acts through a drug-cloud (dCloud) mechanism, as different to a drug-target effect. The dCloud here is defined as a group of terminal molecular events induced by the drug (or/and related metabolites), as well as the network connections among them. In this scenario, the therapeutic efficacy of BBR is the result of its dCloud effect acting on symptoms/signs as well as on root causes of the diseases. The dCloud concept is applicable to other established MTDs, such as aspirin, metformin, statins as well as to nutrient starvation, thus providing a novel instrument for the design of effective therapies against multifactorial metabolism-related CDs.

Identifiants

pubmed: 32001311
pii: S0163-7258(20)30024-3
doi: 10.1016/j.pharmthera.2020.107496
pii:
doi:

Substances chimiques

Berberine 0I8Y3P32UF

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

107496

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflict of interest.

Auteurs

Wei-Jia Kong (WJ)

Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100050 Beijing, China.

Claudio Vernieri (C)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Fondazione Istituto FIRC di Oncologia Molecolare, 20139 Milan, Italy.

Marco Foiani (M)

Fondazione Istituto FIRC di Oncologia Molecolare, 20139 Milan, Italy; University of Milan, Italy. Electronic address: marco.foiani@ifom.eu.

Jian-Dong Jiang (JD)

Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100050 Beijing, China; State Key Laboratory of Bioactive Natural Products and Function, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, 100050 Beijing, China. Electronic address: jiangjd@imm.ac.cn.

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Classifications MeSH