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Efficacy and potential mechanisms of the main active ingredients of astragalus mongholicus in animal models of liver fibrosis: A systematic review and meta-analysis

Lijuan Dan, Yanwei Hao, Hong-Fei Song, Tianyuan Wang, Jia Li, Xiaoyan He, Yue Su

Journal of Ethnopharmacology, 2023

28 citations

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Astragalus mongholicus (AM) is a Qi-tonifying and immune-regulating herb widely used in traditional Chinese medicine (TCM), which is increasingly regarded as a profound complementary medication in the treatment of fibrosis disease. Astragaloside (AS), astragaloside flavonoids (AF) and astragaloside polysaccharides (APS) are the main active ingredients of Astragalus Mongholicus (AM) that have a significant therapeutic effect on liver fibrosis.

AIM OF THE STUDY

This systematic review and meta-analysis aims to evaluate the effects and possible mechanisms of the main active ingredients of AM including astragaloside (AS), astragalus flavone (AF) and astragalus polysaccharide (APS) in animal models of liver fibrosis.

MATERIALS AND METHODS

We systematically searched ten databases PubMed, Web of Science, Embase, Scopus, CINAHL, ProQuest database, China National Knowledge Internet (CNKI), VIP Information Chinese Periodical Service Platform (VIP), WangFang database and China Biology Medicine Disc (CBM) to identify relevant animal studies from inception to November 2022. The SYRCLE's risk of bias tool was used to assess the methodological quality. The statistical analysis was performed using RevMan 5.4 software.

RESULTS

Twenty-three studies involving 482 animals were included. Studies quality scores ranged from 4 to 5. Alanine aminotransferase (ALT) (SMD, -3.87; 95% CI, -5.09 to -2.65; P < 0.00001) aminotransferase (AST) (SMD, -4.43; 95% CI, -5.77 to…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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