| Literature DB >> 30217028 |
Cheng Zhang1, Ning Wang2, Yu Xu3, Hor-Yue Tan4, Sha Li5, Yibin Feng6.
Abstract
Oxidative stress, defined as a disequilibrium between pro-oxidants and antioxidants, can result in histopathological lesions with a broad spectrum, ranging from asymptomatic hepatitis to hepatocellular carcinoma in an orchestrated manner. Although cells are equipped with sophisticated strategies to maintain the redox biology under normal conditions, the abundance of redox-sensitive xenobiotics, such as medicinal ingredients originated from herbs or animals, can dramatically invoke oxidative stress. Growing evidence has documented that the hepatotoxicity can be triggered by traditional Chinese medicine (TCM) during treating various diseases. Meanwhile, TCM-dependent hepatic disorder represents a strong correlation with oxidative stress, especially the persistent accumulation of intracellular reactive oxygen species. Of note, since TCM-derived compounds with their modulated targets are greatly diversified among themselves, it is complicated to elaborate the potential pathological mechanism. In this regard, data mining approaches, including network pharmacology and bioinformatics enrichment analysis have been utilized to scientifically disclose the underlying pathogenesis. Herein, top 10 principal TCM-modulated targets for oxidative hepatotoxicity including superoxide dismutases (SOD), malondialdehyde (MDA), glutathione (GSH), reactive oxygen species (ROS), glutathione peroxidase (GPx), Bax, caspase-3, Bcl-2, nuclear factor (erythroid-derived 2)-like 2 (Nrf2), and nitric oxide (NO) have been identified. Furthermore, hepatic metabolic dysregulation may be the predominant pathological mechanism involved in TCM-induced hepatotoxic impairment.Entities:
Keywords: hepatotoxicity; network pharmacology; oxidative stress; traditional Chinese medicine
Mesh:
Substances:
Year: 2018 PMID: 30217028 PMCID: PMC6165031 DOI: 10.3390/ijms19092745
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic mechanisms of redox biology and traditional Chinese medicine (TCM)-induced oxidative stress in hepatocytes.
Summary on the properties of TCM-induced hepatotoxicity in the recent 5 years.
| Natural Compound | Sources of Chinese Medicine | Study Type | Cell or Animal | Biochemical Markers of Hepatotoxicity | Type of Injury | Reporting Date | Ref. |
|---|---|---|---|---|---|---|---|
| Vincristine |
| In vivo | Wistar rat | ALT, AST, IL-12. IL-4, p53, cleaved caspase-3, Bax↑; Bcl-2↓ | Hepatitis | 2018 | [ |
| Epigallocatechin-3-gallate |
| In vivo | C57BL/6 mouse | SOD, GPx, respiratory complex-I -III, sirtuin 3, FOXO3, Nrf2↓ | Hepatitis and hemorrhage | 2018 | [ |
| Oxymatrine |
| In vitro | L-02 cells | Pro-caspase-3 -4 -8 -9, GRP78, CHOP, p-JNK, IREI, ATF6, PERK, Bax, MDA, ROS↑; SOD, Bcl-2↓ | Cell apoptosis | 2018 | [ |
| Bavachinin |
| In vitro | HepaRG cells | JNK, p-p38, ROS, MAPK, MDA↑; SOD, GSH, CAT↓ | Cell necrosis | 2018 | [ |
| Genkwa Flos extract |
| In vitro & in vivo | HL-7702 cells; SD rat | ALT, AST, MDA↑; CAT, GSH, SOD, NO, NOS↓ | Metabolism Dysregulation | 2018 | [ |
| Fructus Meliae Toosendan extract |
| In vivo | BALB/c mouse | ALT, AST, MDA, p53, p21, Cyclin E, Bax, CytC, caspase-3 -9, CDK2, ROS↑; Bcl-2, Nrf2, miR-370-3p↓ | Cell apoptosis | 2018 | [ |
| Oxalicumone A |
| In vitro | L-02 cells | ALT, AST, ROS, Caspase 3, MDA, NO, Fas, Bax, LDH, CytC↑; Bcl-2, GSH, SOD↓ | Cell apoptosis | 2018 | [ |
| Arsenic extract |
| In vitro | HHL-5 cell | Thioredoxin 1 (Trx1), TrxR1, ROS↑; Bax, CytC, Bcl-2↓ | Cell apoptosis | 2018 | [ |
| Pinelliae Rhizoma Praeparatum |
| In vivo | ICR mouse | ALT, AST, ALP, bile acid, Mrp3, MDA↑; SOD, GSH, GPx, Bsep, Mrp2, Nrf2↓ | Metabolism dysregulation | 2018 | [ |
| Hydroxyapatitenanoparticles extract |
| In vitro & In vivo | BRL cells; | TNF-α, NO, MDA, ROS↑; respiratory complex-I, -II, -III, GSH, SOD↓ | Metabolism dysregulation | 2018 | [ |
| Zishen Yutai pill extract |
| In vivo | SD rat | AST, ALP, ALT, MDA, LDH, PDGF, Cholestasis, Bile acid↑; SOD, GPx↓ | Cell necrosis | 2017 | [ |
| Polygoni Multiflori Radix extract |
| In vivo | SD rat | ALT, AST, ALP, LDH, bilirubin, creatinine↑SOD↓ | Metabolism dysregulation | 2017 | [ |
| Arsenic acid |
| In vivo | Wistar rat | MDA, NO↑; SOD, GSH, GST, GPx↓ | Metabolism dysregulation | 2017 | [ |
| Saikosaponins |
| In vitro & In vivo | HepG2 cells; Kunming mouse | CYP2E1, AST, ALT, LDH, ROS, iNOS↑; GSH↓ | Metabolism dysregulation | 2017 | [ |
| Ephedrine |
| In vitro | LX-2 cells | Parkin, SOD2, ROS, Cox IV, p62, LC3 I, LC3 II↑ | Excessive Mitophagy | 2017 | [ |
| Arsenic extract |
| In vivo | Wister rat | Bax, caspase-3↑, CytC, SOD, complexes I, COX-I-IV, NRF-1-2, PGC-1α, Tfam↓ | Metabolism dysregulation | 2016 | [ |
| Dioscorea Bulbifera saponins |
| In vitro & In vivo | L-02 cells; | ALT, AST, cytochromes P450, cholestasis↑; SOD, GPx, GST, GR, GCL↓ | Metabolism dysregulation | 2016 | [ |
| Zuotai extract |
| In vivo | Kunming mouse | ALT, AST, HgS, MeHg, metallothionein-1, heme oxygenase-1 (HO-1), Egr1, Gst-mu, mKC, MIP-2, NAD(P)H, Nqo1, Gclc↑ | Cell inflammation | 2016 | [ |
| Oxymatrine |
| In vivo | ICR mouse | ALT, AST, ALP, TNF-α, caspase-9, -8, -3, TRADD, p-SAPK, p-JNK↑ | Cell apoptosis | 2016 | [ |
| Evodia Fructus volatile oil |
| In vivo | Kunming mouse | ALT, AST, PGE2, MDA, NO, NOS↑; SOD, GSH, GPx↓ | Metabolism dysregulation | 2015 | [ |
| Fructus Meliae Toosendan extract |
| In vivo | BALB/c mouse | ALT, AST, ALP, bilirubin, cholesterol↑; Nrf2↓ | Cell necrosis | 2015 | [ |
| Triptolide |
| In vivo | Kunmingmouse | ALT, AST, blood urea nitrogen (BUN), CREA↑; GSH↓ | Acute hepatic necrosis | 2015 | [ |
| Asarones |
| In vitro | THLE-2 cells | Caspase-3 -7, MDA↑; GSH, GSSG↓ | Cell apoptosis | 2015 | [ |
| Timosaponin A3 |
| In vivo | SD rat | Bile acid, ROS, HO-1↑; Ntcp, Bsep, Mrp2, Cyp7a1, F-actin↓ | Metabolism dysregulation | 2014 | [ |
| Astin B |
| In vitro | L-02 cells | ROS, JNK, CytC, Bax, caspases-9, -3, LC3-II↑; GSH, Bcl-2, p62↓ | Cell apoptosis and inflammation | 2014 | [ |
| Cassia Occidentalis extract |
| In vivo | Wister rat | TGF-β, JNK, Bax, MDA↑; Akt, CREB1, CYP1A1, CYP2B1, CAT, SOD1, IL-6, SOD, GR↓ | Metabolism dysregulation and apoptosis | 2014 | [ |
| Arecoline Hydrobromide |
| In vivo | Wister rat | ALT, AST, MDA, CYP2B, CYP2E1↑; SOD, CAT, GPx, GSH↓ | Liver cirrhosis and HCC | 2014 | [ |
| Diosbulbin B |
| In vivo | ICR mouse | ALT, AST, ALP, MDA↑; GPx, GST, SOD, CAT↓ | Metabolism dysregulation | 2014 | [ |
| Evodiae Fructus extract |
| In vivo | SD rat | MDA, CytC, AST, ALT, NO, NOS↑; SOD, GSH, GPx↓ | Cell necrosis | 2014 | [ |
| Gardeniae Fructus extract |
| In vivo | SD rat | ALT, AST, ALP, bile acid, MDA, TNF-α, Bax↑; SOD, GPx, Bcl-2↓ | Cell inflammation, necrosis and apoptosis | 2014 | [ |
| Green tea extract |
| In vivo | SD rat | ALT, AST, ALP, TBil, bilirubin, caspase-3, MDA, TG, GST-P↑ | Metabolism dysregulation and apoptosis | 2014 | [ |
| Monocrotaline |
| In vivo | SD rat | GSH, GR, GPx, GST↓ | Metabolism dysregulation | 2014 | [ |
In the Table 1, the symbols of “↑” and “↓” respectively represent for upregulated (“↑”) or downregulated (“↓”) biochemical markers by traditional Chinese medicine (TCM) treatment.
Figure 2Network pharmacology-based target identification of TCM-derived natural compounds or extracts for the generation of oxidative hepatotoxicity.
Figure 3Target mining for TCM-caused oxidative hepatotoxicity by network pharmacology and bioinformatics enrichment analysis. (A) Scatter plot of enriched KEGG pathways statistics. The gene ratio illustrates the significantly expressed gene number to the total gene number in a certain pathway. (B) Identification of TCM-modulated targets for oxidative liver injury by network pharmacology. (C) GO analysis on the involvement of principal biological process. (*): −log10 (p) > 1.3; (**): −log10 (p) > 2, and (***): −log10 (p) > 3 versus background genes.