| Literature DB >> 32071546 |
Yisong Shu1, Dan He2, Wen Li1, Menglei Wang1, Siyu Zhao1, Linlin Liu1, Zhiwen Cao1, Rui Liu1, Yujuan Huang1, Hui Li1, Xueqing Yang1, Cheng Lu3, Yuanyan Liu1.
Abstract
Acetaminophen (APAP) refers to a medication used to manage pain and fever symptoms, but it always causes liver injury when overdosed. Zhishi, dried young fruit of Citrus aurantium L., is a famous Citrus herbal medicine in Asian countries which is rich in dietary phenolic substances. In this study, the mechanism of Zhishi protected against APAP-induced liver injury was studied more deeply by metabolomic strategy and pharmacological study. The metabolomics results demonstrated that Zhishi can prevent the APAP-induced liver injury model by regulating liver metabolic disorders in glycerophospholipid metabolism, fatty acid biosynthesis and glycerolipid metabolism. Moreover, it is confirmed that Zhishi blocked apoptosis of APAP-induced BRL-3A cell by simultaneously regulating p53 up-regulated apoptosis regulator (PUMA), AMPK-SIRT1 and JNK1 signaling pathways. Our findings indicated that Zhishi exhibited a hepaprotective effect against APAP-induced liver necrosis by inhibiting the PUMA and reversing disorder of liver lipid metabolism which could assist in improving the clinical outcomes of chemical-induced liver injury. © The author(s).Entities:
Keywords: apoptosis; hepatoprotective effect; liver injury; liver metabolomics
Mesh:
Substances:
Year: 2020 PMID: 32071546 PMCID: PMC7019131 DOI: 10.7150/ijbs.40612
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Fig 1The biochemical markers in APAP-induced liver injury rat. The serum levels of ALT, AST, GSH and the histological changes in the liver of rats in different groups were shown. (A) Control group; (B) APAP induced model group; (C) Zhishi treatment group; (D) Resveratrol treatment group; (E) The activity of ALT, AST and GSH in different groups. The results are presented as mean ± S.D. of experiments. (n=10 per group, 200x magnification, scale bars=100μm)), *p < 0.05, **p < 0.01, ***p < 0.001.
Fig 2The PCA scores plots between ZS treatment group, model group and control group.
Fig 3Screening and identification of potential biomarkers. (A) OPLS-DA scores plots and S-plot map between the control group and model group; (B) OPLS-DA scores plots and S-plot map between the Zhishi treated group and model group.
Key differential metabolites detected by UHPLC-QE Orbitrap HRMS
| No. | Metabolites | Metabolic pathway | RT | Formula | VIP value | afold change | bP-value |
|---|---|---|---|---|---|---|---|
| 1 | Leucine | Amino acid metabolism | 4.81 | C6H13NO2H | 6.17083 | 1.58 | 1.12E-02 |
| 2 | Tryptophan | Amino acid metabolism | 4.89 | C11H12N2O2H | 5.18573 | 1.19 | 3.31E-02 |
| 3 | Valine | Amino acid metabolism | 4.93 | C5H11NO2H | 4.68174 | 0.58 | 1.17E-02 |
| 4 | Isoleucine | Amino acid metabolism | 4.97 | C6H13NO2H | 4.79804 | -1.63 | 1.94E-02 |
| 5 | L-methionine | Amino acid metabolism | 5.22 | C5H11NO2SH | 8.14658 | 0.84 | 3.86E-03 |
| 6 | Proline | Amino acid metabolism | 5.36 | C5H9NO2H | 4.76387 | 1.77 | 3.13E-02 |
| 7 | Tyrosine | Amino acid metabolism | 5.48 | C9H11NO3H | 8.40403 | -1.48 | 3.69E-02 |
| 8 | Alanine | Amino acid metabolism | 5.92 | C3H7NO2H | 5.26734 | -0.66 | 3.74E-02 |
| 9 | Cysteine | Amino acid metabolism | 6 | C3H7NO2SH | 6.11844 | 0.45 | 3.4E-02 |
| 10 | Homoserine | Amino acid metabolism | 6.15 | C4H9NO3H | 5.8804 | 0.71 | 3.75E-02 |
| 11 | Threonine | Amino acid metabolism | 6.15 | C4H9NO3H | 8.08608 | 1.11 | 3.3E-02 |
| 12 | Glycine | Amino acid metabolism | 6.16 | C2H5NO2H | 5.13134 | 1.29 | 2.92E-02 |
| 13 | Serine | Amino acid metabolism | 6.41 | C3H7NO3H | 7.69839 | 0.65 | 1.97E-02 |
| 14 | Dimethylglycine | Amino acid metabolism | 2.92 | C5H13NOH | 8.12094 | -1.06 | 1.61E-02 |
| 15 | Ethanolamine | Amino acid metabolism | 5.05 | C2H7NOH | 7.09972 | 0.78 | 3.23E-02 |
| 16 | N-acetylornithine | Amino acid metabolism | 5.38 | C7H14N2O3H | 8.83872 | 0.42 | 2.35E-02 |
| 17 | Hydroxyproline | Amino acid metabolism | 5.99 | C5H9NO3H | 5.95346 | 0.71 | 3.02E-02 |
| 18 | Sarcosine | Energy metabolism | 5.73 | C3H7NO2H | 4.90247 | 1.43 | 3.26E-02 |
| 19 | Creatine | Energy metabolism | 5.79 | C4H9N3O2H | 5.69281 | 1 | 1.15E-02 |
| 20 | Glucosamine 6-phosphate | Energy metabolism | 6 | C6H14NO8PH | 8.28821 | -1.17 | 1.17E-02 |
| 21 | Glucose 6-phosphate | Energy metabolism | 6 | C6H13O9PH | 7.45167 | 1.68 | 2.35E-02 |
| 22 | PC(0:0/22:6(4Z,7Z,10Z,13Z,16Z,19Z)) | Lipid metabolism | 4.73 | C30H51NO7P | 5.05299 | 0.96 | 3.45E-02 |
| 23 | PC(16:0/14:0) | Lipid metabolism | 8.87 | C38H77NO8P | 8.74988 | 1.73 | 4.21E-03 |
| 24 | PC(16:0/16:0) | Lipid metabolism | 9.47 | C40H81NO8P | 4.99775 | 1.58 | 4.12E-02 |
| 25 | PC(16:0/17:1(9Z)) | Lipid metabolism | 9.25 | C41H81NO8P | 5.20716 | -0.97 | 3.64E-02 |
| 26 | PC(16:0/9:0(CHO)) | Lipid metabolism | 6.11 | C33H65NO9P | 7.12949 | 0.68 | 2.18E-02 |
| 27 | PC(16:1(9Z)/14:0) | Lipid metabolism | 8.45 | C38H75NO8P | 8.84866 | 0.68 | 2.93E-02 |
| 28 | PC(16:1(9Z)/16:0) | Lipid metabolism | 8.98 | C40H79NO8P | 4.69183 | 0.74 | 2.99E-02 |
| 29 | PC(20:4(5Z,8Z,11Z,14Z)/0:0) | Lipid metabolism | 4.96 | C28H51NO7P | 7.70826 | 1.42 | 3.35E-02 |
| 30 | PC(20:4(5Z,8Z,11Z,14Z)/14:0) | Lipid metabolism | 8.53 | C42H77NO8P | 7.56503 | -1.29 | 2.75E-02 |
| 31 | PC(20:4(5Z,8Z,11Z,14Z)/15:0) | Lipid metabolism | 8.87 | C43H79NO8P | 4.66881 | 1.08 | 4.48E-03 |
| 32 | PC(20:4(5Z,8Z,11Z,14Z)/16:1(9Z)) | Lipid metabolism | 8.82 | C44H79NO8P | 8.42831 | 0.99 | 3.13E-02 |
| 33 | PC(20:4(5Z,8Z,11Z,14Z)/17:0) | Lipid metabolism | 9.34 | C45H83NO8P | 5.89928 | 1.62 | 4E-02 |
| 34 | PE(16:0/16:0) | Lipid metabolism | 9.61 | C37H75NO8P | 5.87224 | 1.64 | 1.4E-02 |
| 35 | PE(16:0/18:1(9Z)) | Lipid metabolism | 9.57 | C39H77NO8P | 5.97014 | 1.67 | 4.48E-04 |
| 36 | PE(17:0/17:0) | Lipid metabolism | 10.21 | C39H79NO8P | 6.44635 | 0.5 | 2.69E-02 |
| 37 | PE(18:0/0:0) | Lipid metabolism | 6.38 | C23H49NO7P | 6.0993 | -0.83 | 1.65E-02 |
| 38 | PE(18:0/18:1(9Z)) | Lipid metabolism | 9.32 | C41H81NO8P | 6.19751 | 0.55 | 2.12E-03 |
| 39 | PE(18:2(9Z,12Z)/16:0) | Lipid metabolism | 9.16 | C39H75NO8P | 5.79491 | 0.41 | 2.49E-02 |
| 40 | PE(22:4(7Z,10Z,13Z,16Z)/0:0) | Lipid metabolism | 5.82 | C27H49NO7P | 8.34833 | -0.91 | 4.5E-03 |
| 41 | PE(22:6(4Z,7Z,10Z,13Z,16Z,19Z)/0:0) | Lipid metabolism | 4.99 | C27H45NO7P | 5.45747 | -0.76 | 4.62E-04 |
| 42 | PE(22:6(4Z,7Z,10Z,13Z,16Z,19Z)/16:0) | Lipid metabolism | 8.97 | C43H75NO8P | 7.88728 | 1.54 | 4.23E-02 |
| 43 | PE(P-16:0/0:0) | Lipid metabolism | 5.89 | C21H45NO6P | 8.90852 | 1.55 | 4.11E-02 |
| 44 | PE(P-16:0/22:4(7Z,10Z,13Z,16Z)) | Lipid metabolism | 9.99 | C43H79NO7P | 6.90864 | 0.78 | 1.98E-02 |
a Only metabolites with variable influence on projection (VIP) values of greater than 1.0 and p-values of less than 0.05 were deemed statistically significant.
b Fold change was calculated as the logarithm of the average mass response (area) ratio between the two classes (i.e., Fold change = lg[Zhishi/model]).
Fig 4Potential metabolic network of the protective effect of Zhishi in APAP-induced liver injury (between the control group and model group (left) and between the Zhishi treated group (right)).
Fig 5Cell proliferation and toxicity experiments of Zhishi and APAP in BRL-3A cell. (A) Effect of different doses of APAP on BRL-3A cells; (B) Inhibition of APAP-induced cell death by different doses of Zhishi; The ALT (C), AST (D) and GSH (E) levels in the BRL-3A cell injury model. The data were expressed as means ± standard deviation (S.D.) of triplicate dependent experiments. *p < 0.05, **p < 0.01, ***p < 0.001.
Fig 6Inhibitory effects of Zhishi and resveratrol on PUMA/AMPK-SIRT1/JNK1 associated hepatocyte apoptosis in APAP-induced BRL-3A Cells. (A) The levels of protein related to AMPK signaling pathway; (B) The levels of protein related to P53 signaling pathway; (C) The levels of protein related to MAPK-JNK pathway; (D) The levels of protein mRNA expression related to SIRT1-p53 pathway. The data were expressed as means ± standard deviation (S.D.) of triplicate dependent experiments. *p < 0.05, **p < 0.01, ***p < 0.001.
Fig 7Zhishi protects against liver damage in APAP-induced liver injury. These include the regulation of liver cell lipid metabolism by mitochondrial damage and oxidative stress, maintenance of energy metabolism, and inhibition of apoptosis-associated proteins. The red box represents the factor being enhanced and the green box represents the weakened factor when pretreated by Zhishi.