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. 2020 Oct 7;26(37):5629–5645. doi: 10.3748/wjg.v26.i37.5629

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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.

This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

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Effects of ten herbs on serum biomarkers (n = 8). A: Alanine transaminase ; B: Aspartate transaminase; C: Alkaline phosphatase; D: Total bilirubin; E: Triglyceride. The values are presented as the mean ± standard deviation. ^aP < 0.05, ^bP < 0.01 vs control; ^cP < 0.05, ^dP < 0.01 vs model; ^eP < 0.05, ^fP < 0.01 vs bifendate. ALT: Alanine transaminase; AST: Aspartate transaminase; ALP: Alkaline phosphatase; TBIL: Total bilirubin; TG: Triglyceride; CTL: Control; MDL: Model; BIF: Bifendate; AS: Acanthopanax senticosus; AV: Amomum villosum; AK: Amomum kravanh; AC: Artemisia capillaris; CH: Cimicifuga heracleifolia; CC: Coptis chinensis; GU: Glycyrrhiza uralensis; PF: Pueraria lobata flower; PR: Pueraria lobata root; SO: Sanguisorba officinalis.