Reduction of blood glucose by plant extracts and their use in the treatment of diabetes mellitus; discrepancies in effectiveness between animal and human studies.


Journal

Journal of ethnopharmacology
ISSN: 1872-7573
Titre abrégé: J Ethnopharmacol
Pays: Ireland
ID NLM: 7903310

Informations de publication

Date de publication:
30 Jan 2020
Historique:
received: 10 05 2019
revised: 03 09 2019
accepted: 29 09 2019
pubmed: 11 10 2019
medline: 24 3 2020
entrez: 11 10 2019
Statut: ppublish

Résumé

The global problem of diabetes, together with the limited access of large numbers of patients to conventional antidiabetic medicines, continues to drive the search for new agents. Ancient Asian systems such as traditional Chinese medicine, Japanese Kampo medicine, and Indian Ayurvedic medicine, as well as African traditional medicine and many others have identified numerous plants reported anecdotally to treat diabetes; there are probably more than 800 such plants for which there is scientific evidence for their activity, mostly from studies using various models of diabetes in experimental animals. Rather than a comprehensive coverage of the literature, this article aims to identify discrepancies between findings in animal and human studies, and to highlight some of the problems in developing plant extract-based medicines that lower blood glucose in patients with diabetes, as well as to suggest potential ways forward. In addition to searching the 2018 PubMed literature using the terms 'extract AND blood glucose, a search of the whole literature was conducted using the terms 'plant extracts' AND 'blood glucose' AND 'diabetes' AND 'double blind' with 'clinical trials' as a filter. A third search using PubMed and Medline was undertaken for systematic reviews and meta-analyses investigating the effects of plant extracts on blood glucose/glycosylated haemoglobin in patients with relevant metabolic pathologies. Despite numerous animal studies demonstrating the effects of plant extracts on blood glucose, few randomised, double-blind, placebo-controlled trials have been conducted to confirm efficacy in treating humans with diabetes; there have been only a small number of systematic reviews with meta-analyses of clinical studies. Qualitative and quantitative discrepancies between animal and human clinical studies in some cases were marked; the factors contributing to this included variations in the products among different studies, the doses used, differences between animal models and the human disease, and the impact of concomitant therapy in patients, as well as differences in the duration of treatment, and the fact that treatment in animals may begin before or very soon after the induction of diabetes. The potential afforded by natural products has not yet been realised in the context of treating diabetes mellitus. A systematic, coordinated, international effort is required to achieve the goal of providing anti-diabetic treatments derived from medicinal plants.

Identifiants

pubmed: 31600561
pii: S0378-8741(19)31866-5
doi: 10.1016/j.jep.2019.112264
pii:
doi:

Substances chimiques

Blood Glucose 0
Hypoglycemic Agents 0
Plant Extracts 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

112264

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Brian L Furman (BL)

Strathclyde Institute of Pharmacy & Biomedical Sciences, 161, Cathedral Street Glasgow, G4 ORE, Scotland, UK. Electronic address: b.l.furman@strath.ac.uk.

Mayuren Candasamy (M)

School of Pharmacy, International Medical University, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia. Electronic address: MayurenCandasamy@imu.edu.my.

Subrat Kumar Bhattamisra (SK)

School of Pharmacy, International Medical University, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia. Electronic address: SubratKumar@imu.edu.my.

Sajesh K Veettil (SK)

School of Pharmacy, International Medical University, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia. Electronic address: sajesh_kalkandi@imu.edu.my.

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Classifications MeSH