| Literature DB >> 29434260 |
Jie Zheng1, Lingqi Yu1, Wen Chen1, Xiaoyan Lu2, Xiaohui Fan3.
Abstract
The toxicological mechanisms of liver injury caused by most traditional Chinese medicine (TCM) remain largely unknown. Due to the unique features, exosomal microRNAs (miRNAs) are currently attracting major interests to provide further insights into toxicological mechanisms. Thus, taking Fructus Meliae Toosendan as an example of hepatoxic TCM, this study aimed to elucidate its hepatotoxicity mechanisms through profiling miRNAs in circulating exosomes of Fructus Meliae Toosendan water extract (FMT)-exposed mice. Biological pathway analysis of the 64 differentially expressed exosomal miRNAs (DEMs) showed that hepatic dysfunction induced by FMT likely related to apoptosis, mitochondrial dysfunction, and cell cycle dysregulation. Integrated analysis of serum exosomal DEMs and hepatic differentially expressed mRNAs further enriched oxidative stress and apoptosis related pathways. In vitro validation studies for omics results suggested that FMT-induced DNA damage was mediated by generating intracellular reactive oxygen species, leading to cell apoptosis through p53-dependent mitochondrial damage and S-phase arrest. Nrf2-mediated antioxidant response was activated to protect liver cells. Moreover, serum exosomal miR-370-3p, the most down-regulated miRNA involving in these pathways, might be the momentous event in aggravating cytotoxic effect of FMT by elevating p21 and Cyclin E. In conclusion, circulating exosomal miRNAs profiling could contribute to deepen the understanding of TCM-induced hepatotoxicity.Entities:
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Year: 2018 PMID: 29434260 PMCID: PMC5809479 DOI: 10.1038/s41598-018-21113-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Experimental design of this study.
Figure 2(a) The size distribution of the serum exosomes was determined using dynamic light scattering (left). Transmission electron micrograph of serum exosomes (middle). The scale bar is 200 nm. The expressions of exosomal marker proteins TSG101 and CD81 were determined using western blot (right). Full-length western blot images in (a) are presented in Supplementary Fig. S1. (b) The differentially expressed miRNAs in serum exosomes with the administration of FMT. (c) HCA showed two main branches with the DEMs in serum exosomes. (d) Real-time quantitative PCR was applied to validate the results of microarray analysis. Gray bars represent microarray data. Black bars indicate the results of real-time quantitative PCR from three technical replicates. Data are presented as the mean fold change ± standard deviation (SD).
Top five cellular functions corresponding to the 650 target genes of the 15 DEMs under the treatment of FMT.
| Molecular and Cellular Functions | Number of target genes involved | p-value |
|---|---|---|
| Cellular Growth and Proliferation | 367 | 6.77E-53–1.01E-14 |
| Cellular Development | 356 | 1.60E-52–1.17E-14 |
| Cellular Death and Survival | 338 | 7.48E-51–1.86E-14 |
| Cell Cycle | 189 | 1.23E-46–1.44E-14 |
| Cellular Movement | 243 | 3.26E-42–7.33E-15 |
Figure 3Top 20 toxic lists corresponding to 650 target genes of the 15 DEMs under the treatment of FMT. The size of blocks represented the value of -log(p-value).
Top five cellular functions of the 812 mRNAs which were the intersection of the target mRNAs of 29 serum exosomal DEMs and the DEGs in liver tissue after FMT exposure.
| Molecular and Cellular Functions | Number of genes involved | p-value |
|---|---|---|
| Cellular Growth and Proliferation | 391 | 2.89E-32–3.75E-06 |
| Cell Death and Survival | 346 | 7.25E-31–4.99E-06 |
| Cellular Development | 366 | 5.62E-26–3.75E-06 |
| Gene Expression | 258 | 1.54E-24–2.04E-06 |
| Cellular Movement | 232 | 2.18E-21–4.50E-06 |
Top five canonical pathways of 812 mRNAs which were the intersection of the target mRNAs of 29 serum exosomal DEMs and the DEGs in liver tissue after FMT exposure.
| Canonical pathways | p-value |
|---|---|
| Nrf2-mediated Oxidative Stress Response | 3.22E-7 |
| Activation of IRF by Cytosolic Pattern Recognition Receptors | 3.01E-6 |
| Gadd45 Signaling | 3.66E-6 |
| p53 Signaling | 4.32E-6 |
| Glucocorticoid Receptor Signaling | 4.91E-6 |
Top five toxic lists of 812 mRNAs which were the intersection of the target mRNAs of 29 serum exosomal DEMs and the DEGs in liver tissue after FMT exposure.
| Toxic lists | p-value |
|---|---|
| Liver Necrosis/Cell Death | 3.18E-11 |
| Renal Necrosis/Cell Death | 6.32E-9 |
| Acute Renal Failure Panel (Rat) | 7.26E-9 |
| Cardiac Hypertrophy | 4.69E-8 |
| Nrf2-mediated Oxidative Stress Response | 5.83E-8 |
The serum exosomal miRNAs lists involved in “Nrf2-mediated Oxidative Stress Response”, “Gadd45 Signaling”, and “p53 Signaling”.
| Pathways | miRNAs involved | miRNAs in common |
|---|---|---|
| Nrf2-mediated Oxidative Stress Response | miR-497a-5p, miR-7050-5p, miR-93-5p, miR-721, miR-370-3p, miR-30a-5p, miR-7118, miR-6965-5p, miR-6394, miR-6349, miR-149-3p, miR-101a-3p, miR-3473b, miR-143-3p, miR-3154, miR-27b-3p, miR-23a-3p, miR-2861, miR-6769b-5p, miR-215-5p, miR-199a-3p, miR-188-5p, miR-6370, miR-300-5p | miR-370-3p (fold change = −2.64) |
| Gadd45 Signaling | miR-721, miR-497a-5p, miR-370-3p, miR-93-5p, miR-6349, miR-30a-5p, miR-3473b, miR-7118-5p, miR-7005-5p | |
| p53 Signaling | miR-149-3p, miR-101a-3p, miR-143-3p, miR-721, miR-6349, miR-30a-5p, miR-6965-5p, miR-93-5p, miR-3473b, miR-7118-5p, miR-497a-5p, miR-27b-3p, miR-6769b-5p, miR-7050-5p, miR-3154, miR-6394, miR-2861, miR-370-3p, miR-7005-5p, miR-6963-5p |
Figure 4FMT induces S-phase cell cycle arrest in BNL CL.2 cells. (a) Survival rates were detected by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The concentrations of 3.84 mg/mL and 19.2 mg/mL were chosen as the low- and high- dose. (b) Cell cycle distribution was assessed using flow cytometry. Representative images for cell cycle (upper). The percentages of the cell cycle (below). Two-way ANOVA followed by Tukey Post Test was adopted to determine the differences of cell cycle distributions. (c) The expression of S-phase progression-related proteins was determined by western blot. Intensities of bands were normalized to the amount of β-actin. Statistical differences of cellular proteins between diffferent groups were examined by t-test. Data are presented as mean ± SD (n = 3). Full-length western blot images in (c) are presented in Supplementary Fig. S2. *p < 0.05, **p < 0.01, versus the control. #p < 0.05, ##p < 0.01, versus the other concentration.
Figure 5Effects of FMT on apoptosis and mitochondrial function in BNL CL.2 cells. (a) The rates of apoptosis were assessed using the Annexin V-FITC/PI dual-labeling techniques. Representative images (left). The apoptotic rates (right). One-way ANOVA followed by Tukey Post Test was adopted to examine the statistical differences. (b) The loss of ΔΨ m was detected using Rh-123. One-way ANOVA followed by Tukey Post Test was adopted to examine the statistical differences. (c) The expressions of mitochondrial dysfunction-related proteins in mitochondrial fractions, cytosolic fractions, and the whole cells were measured. β-actin was used for normalization and verification of cytosolic fractions and the whole cells loading. Meanwhile, the protein of voltage-dependent anion channel (VDAC) was used for normalization and verification of mitochondrial fractions loading. Statistical differences between different groups were examined by t-test. Data are shown as mean ± SD (n = 3). Full-length western blot images in (c) are presented in Supplementary Figs S3 and 4. *p < 0.05, **p < 0.01, versus the control. #p < 0.05, ##p < 0.01, versus the other concentration.
Figure 6Effect of FMT on protein levels, DNA damage, and ROS generation in BNL CL.2 cells. (a) The protein expressions in the whole cells and nuclear fractions were detected. β-actin was used for normalization and verification of the whole cells loading. Meanwhile, histone H3 was used for normalization and verification of nuclear fractions loading. Statistical differences of cellular proteins between different groups were examined by t-test. Full-length western blot images are presented in Supplementary Fig. S5-6. (b) The fluorescence of the cells stained with FITC-γ-H2A.X was analyzed by flow cytometry. One-way ANOVA followed by Tukey Post Test was adopted to examine the statistical differences. (c) The fluorescence of the cells stained with DCFH-DA was analyzed using flow cytometry. One-way ANOVA followed by Tukey Post Test was adopted to examine the statistical differences. Data are presented as mean ± SD of three independent experiments. *p < 0.05, **p < 0.01, versus the control. #p < 0.05, ##p < 0.01, versus the other concentration.
Figure 7Ingenuity network diagram depicting interactions between the components of the p53 and Nrf2-mediated oxidative stress signaling pathways. For visualization, network was mainly restricted to molecules showing regulation during treatment. Lines indicate known interactions between molecules (red lines depict stimulation and green lines depict suppression). Black up or down arrows represent the behaviors of specific molecules.
The sequences of miRNA primers.
| miRNAs | Primer sequence (5′-3′) |
|---|---|
| miR-23a-3p | ATCACATTGCCAGGGATTTCC |
| miR-215-5p | ATGACCTATGATTTGACAGAC |
| miR-27b-3p | TTCACAGTGGCTAAGTTCTGC |
| miR-101a-3p | TACAGTACTGTGATAACTGAA |
| miR-6394 | TCCCTGAGTGGGGCCAGGTCT |
| miR-20b-5p | CAAAGTGCTCATAGTGCAGGTAG |
| miR-15b-5p | TAGCAGCACATCATGGTTTACA |