Текст сохранён. Часть иллюстраций пока доступна только в первоисточнике; загрузка будет проверена повторно.
Introduction
Doxorubicin (DOX) is a potent anthracycline chemotherapy broadly used in the treatment of various neoplastic diseases [ 23 ] including, but not limited to, breast, lung, gastric, ovarian, thyroid, lymphoma, multiple myeloma, and sarcoma since the 1970s [ 37 ]. However, the clinical use of DOX is limited due to its potential toxic effect on the cardiovascular system [ 30 ]. Despite extensive research over the last couple of decades [ 11 ], the pathogenic mechanisms responsible for DOX-induced cardiovascular toxicity are still ambiguous. Thus, there is an obvious need to explore how DOX damages the cardiovascular system and identify a target that can be modified by drugs and, therefore, reduce chemotherapy-induced cardiovascular damage.
While previous works focused on the direct effect of doxorubicin on cardiac cells [ 11 ], recent studies have turned toward endothelium as a novel target for DOX-induced cardiovascular toxicity [ 23 ]. Given the systemic administration of DOX, endothelium serves as the primary cellular contact and is thus exposed to elevated DOX concentrations [ 11 ]. This exposure to high concentration of DOX promotes a phenotypic change of the endothelium in which endothelial cells lose their features and take on mesenchymal properties in a process known as Endothelium-to-Mesenchymal Transition (EndMT), resulting in endothelial dysfunction, thereby precluding the endothelium from protecting the cardiovascular system [ 31 ]. However, the molecular mechanism responsible for DOX-induced EndMT remains unknown.
Notably, one of the small molecules critically involved in the maintenance of endothelial function is epoxyeicosatrienoic acids (EETs) [ 44 ]. These endothelium-derived factors, 5,6-, 8,9-, 11,12-, and 14,15-EET are products of olefin epoxidation of the arachidonic acid (AA) by cytochrome P450 (CYP) epoxygenase enzymes [ 17 ]. CYP2B, CYP2C, and CYP2J are the main CYPs among the CYP epoxygenase array facilitating the formation of EETs [ 17 ]. Importantly, CYP epoxygenase/EETs assume a pivotal role in cardiovascular protection, exerting multifaceted impacts on the endothelium, blood vessels and cardiomyocytes [ 17 ]. Specifically, studies have linked CYP epoxygenase/EETs to vasodilation [ 13 ] and protection against inflammation [ 18 ], EndMT [ 41 ], atherosclerosis [ 40 ] apoptosis [ 20 ] and hypertension [ 32 ]. Additionally, endothelial overexpression of CYP epoxygenase, CYP2J2, ameliorates myocardial infarction-induced heart failure [ 46 ]. On the other hand, pharmacological inhibition of CYP epoxygenase using a specific inhibitor such as, N-methylsulfonyl-6-(2-propargyloxyphenyl) hexanamide (MSPPOH) or disruption of CYP2J2 gene exhibits a detrimental effect on the cardiovascular system [ 3 , 33 , 45 ].
Despite the recognized link between CYP epoxygenase and cardiovascular diseases (CVDs) and their role in endothelial function, there’s a lack of studies on the involvement of CYP epoxygenase in DOX-induced endothelial toxicity and EndMT [ 23 ]. Given that there is a known connection between CYP epoxygenase and the CV system [ 25 ], it is possible that the CYP epoxygenase pathway may play a physiological protective role against DOX-induced endothelial toxicity and EndMT. Thus, we aim to investigate whether suppressing CYP epoxygenase would promote DOX-induced endothelial toxicity and EndMT, thereby exacerbating DOX-induced cardiovascular toxicity.
Materials and methods
Materials
Quantitative real-time PCR (qRT-PCR) primers and Gibco Dulbecco’s Modified Eagle Medium F-12 Nutrient Mixture (DMEM/F12) were purchased from Thermo Fisher (Thermo Fisher Scientific, MA, US). EA. hy926, a human endothelial cell line, was purchased from American Type Cell Culture ((ATCC, cat# CRL-2922), Manassas, VA). RIPA Lysis and Extraction Buffer were obtained from Invitrogen (Invitrogen®, Carlsbad, CA, USA).
Cell culture
EA. hy926 cells were grown in a 5% CO 2 humidified environment at 37 °C in 75cm 2 tissue culture flasks with DMEM/F12 (Thermo Fisher Scientific, MA, US). When the cells reached the desired confluence (~ 80%), they were incubated with DOX and/or MSPPOH for 24 h.
Cell viability
The ability of live cells to convert 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide (MTT) to coloured formazan crystals was used to evaluate the effects of DOX and MSPPOH on cell viability, as previously described [ 27 ]. The proportion of viable cells was calculated relative to control wells labeled as 100%.
Cell morphology
EA. hy926 cells were grown in 6-well plates and incubted with 2 μM DOX and/or 50 μM MSPPOH for 24 h to examine their effects on EndMT. Unlike cobblestone monolayers of endothelial cells, EndMT is characterized by elongated spindle-like cells [ 31 ]. The cell morphology was quantified by counting the ratio of mesenchymal, i.e., elongated spindle-like cells, to endothelial cells [ 31 ]. The concentration of DOX we used in our study is consistent with the previous literature [ 31 ] that shows that DOX induced EndMT in endothelial cells. Also, it is comparable to a concentration of 1 µg/ ml (~ 1.72 µM) of DOX that has been reported in the peripheral blood of cancer patients [ 34 ].
Flow cytometric analysis
Apoptosis was examined using Dual Staining of Annexin V and Propidium iodide (PI) (BD Biosciences, San Jose, CA, USA) according to the manufacturer’s procedure as described previously [ 35 ]. Briefly, we incubated EA. hy926 cells with 2 μM DOX and/or 50 μM MSPPOH for 24 h. Then, we washed them with phosphate buffer saline (PBS) and reconstituted them in the dark in FOTC-labeled annexin V and PI-containing binding solution for 15 min. The collected cells were then examined consequently with a flow cytometer.
Whole protein extraction
We incubated EA. hy926 cells with 2 μM DOX and/or 50 μM MSPPOH for 24 h. Thereafter, we washed the cells with PBS, and we added RIPA buffer supplemented with a Halt protease-phosphatase inhibitor cocktail (1X) to extract the protein. Then, we scraped the cells for 30 min on ice, transferred the extract into a fresh Eppendorf tube, centrifuged the tubes at 14,000× g , 4 °C for 15 min, and transferred the supernatants into a new tube. Finally, we used a Rapid Gold BCA assay kit (Thermo Scientific, MA, USA) to quantify the protein as described previously [ 36 ].
Liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis
We prepared the samples for mass spectrometry analysis using a previously described method [ 36 ]. Using a TimsTOF Pro mass spectrometer (Bruker Daltonics, Germany) coupled to a nano-liquid chromatography system nano-elute (Bruker Daltonics, Germany), we carried out trip ion mobility mass spectrometry, which includes MS and MS/MS, as previously described [ 36 ].
MS and MS/MS data processing and analysis
The built-in search engine Andromeda [ 9 ] in the MaxQuant software (version 2.1.4.0) was used to process the MS/MS raw data according to standard workflow [ 38 ]. We used UniProtKB/Swiss-Prot human database to identify proteins with fixed and variable modifications as described previously [ 36 ]. Also, we used the MaxLFQ label-free quantitation method to extract maximum quantification information in MaxQuant as described previously [ 10 ]. Normalized spectral intensity (LFQ intensity) was then used to calculate protein abundance.
We used the Perseus software to carry out the data analysis [ 39 ]. After being imported from the MaxQuant analysis, the LFQ intensities were converted to log2(x). Every protein expressed in each of the three biological replicates underwent at least one conditional comparison in the statistical analysis. For each missing LFQ intensity value, values from the normal distribution (width = 0.3, downshift = 1.8) were substituted. Finally, we used a two-tailed student’s t test for protein quantification, where we calculated the statistically significant abundance using an adjusted p value < 0.05. We used Reactome pathway analysis to analyze the functional enrichment of the differentially expressed proteins (DEPs) as described previously [ 36 ].
Zebrafish husbandry
This experiment was carried out using wild-type zebrafish embryos (AB strain). All animal studies were conducted in accordance with international guidelines and the polices required by Qatar University and the Department of Research in the Ministry of Public Health for the use of zebrafish in experimental studies under the approval of the Institutional Animal Care and Use Committee (IACUC) (QU-IACUC 020/2020-REN2).
Zebrafish embryos were housed in a 10-mm petri plate at 28.5 °C. We used a Zeiss SteREO Discovery V8 microscope and a Hamamatsu Orca Flash High-speed camera to monitor the survival and the morphology changes at 24-h intervals over 3 days. Hatching, survival, and any changes have been monitored and documented. Dead embryos were removed immediately after they were discovered.
Measurement of cardiovascular function and structure
We treated the zebrafish embryos at 24 h post-fertilization (24 hpf) as most given drugs are able to pass via the chorion and thus accumulate inside the embryos [ 16 ]. We followed a previously established protocol to induce cardiotoxicity in zebrafish using DOX [ 21 ]. Briefly, at 24 hpf, the fish embryos were arbitrarily divided into four groups that were incubated with either vehicle (n = 10), 100 μM of DOX (n = 10), 50 μM of MSPPOH (n = 10), or a combination of 100 μM of DOX and 50 μM of MSPPOH (n = 10) for 72 h. We kept the embryos in the dark at 28.5 °C.
The treated fish’s body structure, cardiovascular function, and survival rate were evaluated at 72 hpf. In brief, ten fish larvae at random from each group were examined under a microscope after stabilizing them with 3% methylcellulose. Each fish had a 10-s bright field film of its heart and body taken at 100 frames per second (fps). The flow velocity, arterial pulse, and vessel diameter were measured in the exact location of the dorsal aorta (DA) and the posterior cardinal vein (PCV) using the Viewpoints MicroZebralab version 3.6 software [ 43 ]. Vascular blood flow velocity measurements are commonly used to evaluate cardiovascular function in zebrafish [ 43 ]. A slower blood flow velocity and/or lower cardiac output suggest deterioration in cardiovascular function [ 43 ]. The cardiovascular function parameters were calculated using formulas illustrated in Supplementary Table 1.
Quantitative real-time PCR (qRT-PCR)
We isolated total RNA from EA. hy926 or Zebrafish larvae by TRIzol reagent (Invitrogen®, Carlsbad, CA, USA) as described previously [ 24 , 26 ]. The Nano spectrophotometer was used to assess total RNA concentration and purity. Complementary DNA (cDNA) was generated using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA), according to the manufacturer’s instructions. We used QuantStudio 5 to quantify the expression of mRNA as shown previously [ 12 ]. Supplementary Table 2 listed the primer sequences that have been used in this study. The relative gene expression ΔΔCt method was used to analyze qRT-PCR data. We calculated the fold change between the mRNA levels using the previously described equation formula: fold change = 2 −Δ(ΔCt) , where ΔCt = Ct target − Ct β-actin and Δ(ΔCt) = ΔCt treated − ΔCt untreated as described previously [ 12 ]. Our reference primers, β-Actin, and rpl13a, for human and zebrafish, respectively, were used to correct the fold change between the mRNA expressions. Lastly, we used 2 −△CT formula to calculate the basal expression level of CYP isoforms in the endothelial cells.
Statistical analysis
For our statistical study, we used GraphPad Prism (version 7.04) from GraphPad Software, Inc. in La Jolla, California. Results are displayed as mean ± SEM. Tukey Kramer’s post-hoc multiple comparison test was employed following one-way analysis of variance (ANOVA) to evaluate the statistical differences between the groups. A probability value found that was considered significant was less than 0.05.
Results
Doxorubicin promotes endothelial-to-mesenchymal transition in human endothelial cells
We tested whether DOX could develop the transition of endothelial cells into mesenchymal cells, i.e., EndMT in our endothelial cells, EA hy926 cells. To do this, we incubated EA hy926 cells with different concentrations of DOX for 24 h. Following the MTT assay, we used 0.5 µM, 1 µM and 2 µM concentrations of DOX for our experiment in the human endothelial cells as more than 80% of the cells are viable, and these concentrations are within the plasma levels in humans [ 34 ]. Using these concentrations, we then examined the expression levels of endothelial and mesenchymal markers. Notably, we found that DOX significantly upregulated the expression of EndMT markers, including the levels of smooth muscle actin, ASMA and SM22A (Fig. 1 B, C), VIMENTIN (Fig. 1 D), transforming growth factor-β (TGFβ) (Fig. 1 I), N-CADHERIN (CDH2) (Fig. 1 F), SNAIL (SNAI1) (Fig. 1 G), and SLUG (SNAI2) (Fig. 1 H) in a concentration-dependent manner when compared to control. In contrast, DOX significantly downregulated the expression of endothelial cell marker CD31 in all tested concentrations when compared to the control. Given that the 2 µM concentration of DOX demonstrated the maximum upregulation of EndMT markers, we use this concentration to examine the morphological changes of the endothelial cells. Consistent with previous studies [ 14 , 29 ], we found that DOX-induced EndMT resulted in increased cellular gap and altered the arrangement and shape of the cells from a monolayer cobblestone to disorganized and long spindle-like cells (Fig. 1 J) [ 29 , 42 ]. Overall, our findings indicated that DOX promoted EndMT.
Иллюстрация — в первоисточнике ↗
Doxorubicin-induced endothelial-to-mesenchymal transition is associated with the upregulation of inflammation and apoptosis markers
Since EndMT plays a pivotal role in the development of inflammation and apoptosis of endothelial cells [ 31 ], we investigated whether DOX-induced EndMT is accompanied by an increase in inflammation and apoptosis. To test this, we incubated the endothelial cells with different concentrations of DOX for 24, and then we examined the mRNA gene expression levels of inflammation and apoptotic markers. Our results show that treatment with DOX significantly increased the mRNA expression of IL-1β, IL-18, NLRP3, CXCR2, IL-6, IL-8, ICAM, and VCAM in a concentration-dependent manner compared to control (Fig. 2 A–H). Furthermore, apoptotic markers, including CASPASE 3 and 7, death receptor 4 (DR4), BAX, BCL-xL, and TRAIL-1, were significantly upregulated in a concentration-dependent manner in cells treated with DOX (Fig. 2 I–N). Collectively, these results indicate that DOX-induced EndMT is associated with the upregulation of inflammation and apoptotic markers.
Иллюстрация — в первоисточнике ↗
Doxorubicin-induced endothelial-to-mesenchymal transition is exacerbated by CYP epoxygenase inhibition
CYP epoxygenase is known to play a critical role in the maintenance of endothelial cells’ health and homeostasis [ 44 ]. Therefore, we assumed that CYP epoxygenase is constitutively expressed in endothelial cells, EA hy926 cells. Consistent with this, our results show that while CYP epoxygenase, including CYP2B6, CYP 2J2, and CYP2C, were all expressed in EA hy926 cells, CYP2B6 followed by CYP2J2 demonstrated a relatively higher expression level (Fig. 3 A). Notably, the expressions of CYP2B6, CYP2C8, CYP2C9, CYP2C19 and CYP 2J2 were all upregulated in EA hy926 cells by DOX in a concentration-dependent manner (Fig. 3 B, C, D, E, F). Since the most significant changes in CYP expression were observed at 2 µM DOX, this concentration was selected to perform all subsequent experiments.
Иллюстрация — в первоисточнике ↗
Given that CYP epoxygenase is expressed in endothelial cells and upregulated by DOX treatment, we hypothesized that CYP epoxygenase plays a physiologic defensive impact on DOX-induced endothelial toxicity like EndMT. If this is the case, we would predict that a selective CYP epoxygenase inhibitor, MSPPOH, might reduce this physiologic protective effect of CYP epoxygenase and exacerbate DOX-induced endothelial toxicity like EndMT. To test this hypothesis, we conducted in vitro experiments to test the impact of MSPPOH on EndMT in endothelial cells incubated with 2 µM DOX for 24 h. Following the MTT Assay, we selected a 50 µM concentration of MSPPOH for the EA hy926 experiment as it did not reduce endothelial cell viability when it is either used alone or in combination with DOX (Fig. 3 G, H). Notably, we found that DOX-treated cells demonstrated a significant upregulation of EndMT markers, including ASMA, SM22A, VIMENTIN, TGF-β, N-CADHERIN, SNAIL, and SLUG (Fig. 3 I–O) and a substantial downregulation of endothelial cell marker, CD31, compared to control (Fig. 3 P). Consistent with our hypothesis, our results show that MSPPOH, a selective CYP epoxygenase inhibitor, significantly elevated the expression of EndMT markers, including ASMA, SM22A, VIMENTIN, TGF-β, N-CADHERIN, SNAIL, and SLUG (Fig. 3 I–O) and significantly reduced the expression of endothelial cell marker, CD31 (Fig. 3 P), in endothelial cells incubated with DOX. Since DOX-induced EndMT cells are also associated with morphological changes, we also examined whether MSPPOH exacerbated the morphological modifications of DOX-treated endothelial cells. Interestingly, MSPPOH significantly disassembled the cobblestone characteristic of endothelial cells into irregular and elongated mesenchymal cells and further elevated the ratio of mesenchymal cells to endothelial cells of DOX-treated endothelial cells (Fig. 3 Q, R). Collectively, our data indicates that inhibition of CYP epoxygenase exacerbates DOX-induced EndMT.
Doxorubicin-induced inflammation and apoptosis are exacerbated by CYP epoxygenase inhibition
Since DOX-induced EndMT was associated with the upregulation of inflammation and apoptotic markers, we tested whether MSPPOH could also exacerbate DOX-induced inflammation and apoptosis in human endothelial cells. Notably, we found that MSPPOH further upregulated the levels of inflammatory markers like IL1β, IL-18, NLRP3, CXCR2, IL-6, IL-8, ICAM, and VCAM (Fig. 4 A–H) in endothelial cells incubated with DOX suggesting that MSPPOH exacerbates DOX-induced inflammation. Similar to this, MSPPOH also elevated proapoptotic markers, including CASPASE 3 and 7, DR4, BAX, and TRAIL-1 (Fig. 4 I, J, K, L, N) and reduced antiapoptotic marker, BCl-xL (Fig. 4 M), in endothelial cells incubated with DOX. Consistent with the apoptotic markers, our flow cytometry data confirmed that MSSPOH increased the number of apoptotic cells in our endothelial cells incubated with DOX. Overall, these results suggest that MSPPOH exacerbated DOX-induced inflammation and apoptosis (Fig. 4 O).
Иллюстрация — в первоисточнике ↗
CYP epoxygenase inhibition alters the proteomic profile of doxorubicin-treated endothelial cells
To investigate the effect of CYP epoxygenase inhibitor, MSPPOH, on DOX-induced endotheliotoxicity at the proteomic level, we treated EA hy926 cells with DOX with and without MSPPOH for 24 h. We then performed LC–MS/MS and analyzed the results to find the differentially expressed proteins (DEP) using MaxQuant analysis. Notably, our findings indicate that 2428 proteins were significantly changed in endothelial cells treated with DOX compared to control (Fig. 5 A). Of these, 778 proteins were found to be upregulated while 1650 proteins were downregulated in endothelial cells treated with DOX compared to control (Fig. 5 A). We also observed that the treatment of cells with a combination of DOX and MSPPOH led to the upregulation of 618 proteins and the downregulation of 442 proteins compared to DOX treatment alone. Upon analyzing the Reactome Pathway Database, we found a significant alteration in proteins related to RNA and protein metabolism, cell cycle, programmed cell death, cellular response to stimuli, and immune system as a result of DOX treatment compared to the control group (Fig. 5 C). Of interest, proteins involved in the cell cycle, programmed cell death, cellular response to stimuli and immune system pathways were further modulated in endothelial cells incubated with a combination of DOX and MSPPOH compared to the cells treated with DOX alone (Fig. 5 D).
Иллюстрация — в первоисточнике ↗
We further analyzed our proteomic profile for proteins involved in EndMT, inflammation and apoptosis. Notably, in a manner similar to what we have observed at the mRNA level, DOX-treated cells have shown a significant increase in the expression of specific EndMT-related protein expression and a decrease in some endothelial cell markers (Table 1 ). Interestingly, when endothelial cells were treated with a combination of DOX and MSPPOH, the proteins involved in EndMT, including Caldesmon, Calumenin, Caveolin-1, Caveolin, Cadherin-2 (N-cadherin), Cyclin-dependent kinase 2, Collagen alpha-1(V) chain, Endothelin-converting enzyme 1, Endothelial differentiation-related factor 1, Latent-transforming growth factor beta-binding protein 4, Matrix-remodeling-associated protein 7, Paxillin, Platelet endothelial aggregation receptor 1, Serpin H1, Transforming growth factor beta-1-induced transcript 1 protein, Cdc42-interacting protein 4, Ubiquitin-conjugating enzyme E2 C, Transcriptional coactivator YAP1, and Zyxin were significantly upregulated compared to the cells treated with DOX alone (Table 1 ). On the other hand, endothelial cell markers like Alpha-adducin, Ephrin-B1, Protocadherin alpha-3, and Ubiquitin carboxyl-terminal hydrolase were significantly downregulated in the cells incubated with a combination of DOX and MSPPOH compared to the cells treated with DOX alone (Table 1 ). Unexpectedly, while DOX did not significantly affect Platelet endothelial cell adhesion molecule (i.e., CD31) and significantly reduced the protein expression of vimentin compared to control (Table 1 ), cells treated with a combination of DOX and MSPPOH demonstrated a decrease in the level of vimentin and an increase in the level of CD31 (Table 1 ). Nevertheless, our overall proteomic data suggests that inhibition of CYP epoxygenase exacerbates DOX-induced EndMT at the protein level.
Table 1
Proteomic Profile for endothelial cells treated with DOX and DOX + MSPPOH
| Gene name | Protein IDs | Protein names | DOX vs control | Dox + MSPPOH vs DOX | ||
| Fold change | p value | Fold change | p value | |||
| Endothelial-to-mesenchymal transition | ||||||
| ADD1 | E7EV99 | Alpha-adducin | 0.812 | 2.08E−07 | − 0.276 | 0.00126 |
| CALD1 | Q05682-5 | Caldesmon | 1.2 | 2.19E−06 | 0.543 | 0.00113 |
| CALU | O43852 | Calumenin | 0.551 | 9.68E−05 | 0.205 | 0.0387 |
| CAV1 | Q03135 | Caveolin-1;Caveolin | 0.423 | 0.000406 | 0.368 | 0.00108 |
| CDH2 | C9J126 | Cadherin-2 (N-cadherin) | 1.05 | 2.13E−06 | 0.226 | 0.0531 |
| CDK2 | P24941 | Cyclin-dependent kinase 2 | 0.459 | 0.0019 | 0.247 | 0.0458 |
| COL5A1 | P20908-2 | Collagen alpha-1(V) chain | 1.43 | 0.000381 | 1.74 | 8.71E−05 |
| ECE1 | A0A3B3ISF9 | Endothelin-converting enzyme 1 | 1.05 | 6.71E−07 | 0.186 | 0.0662 |
| EDF1 | O60869 | Endothelial differentiation-related factor 1 | 1.59 | 2.72E−07 | 0.66 | 0.000386 |
| EFNB1 | P98172 | Ephrin-B1 | 0.0135 | 0.965 | − 1.69 | 0.000266 |
| HYAL2 | Q12891 | Hyaluronidase-2 | 3.42 | 2.78E−07 | − 0.567 | 0.0593 |
| LTBP4 | A0A0C4DH07 | Latent-transforming growth factor beta-binding protein 4 | 0.462 | 0.0103 | 0.29 | 0.0742 |
| MXRA7 | P84157-2 | Matrix-remodeling-associated protein 7 | 0.354 | 0.078 | 0.723 | 0.0027 |
| PCDHA3 | Q9Y5H8-2 | Protocadherin alpha-3 | 0.0241 | 0.979 | − 2.13 | 0.0372 |
| PEAR1 | Q5VY43 | Platelet endothelial aggregation receptor 1 | 0.482 | 0.0769 | 0.663 | 0.0224 |
| PECAM1 | P16284-3 | Platelet endothelial cell adhesion molecule | 1.71 | 2.81E−07 | 0.183 | 0.198 |
| PXN | A0A1B0GTU4 | Paxillin | 0.465 | 9.21E−05 | 0.251 | 0.00623 |
| SERPINH1 | P50454 | Serpin H1 | 0.0595 | 0.397 | 0.17 | 0.0312 |
| TGFB1I1 | O43294 | Transforming growth factor beta-1-induced transcript 1 protein | 2.05 | 0.000489 | 0.815 | 0.0668 |
| TRIP10 | Q15642-2 | Cdc42-interacting protein 4 | 0.662 | 6.43E−06 | 0.266 | 0.0052 |
| UBE2C | O00762 | Ubiquitin-conjugating enzyme E2 C | 3.69 | 1.08E−06 | 0.757 | 0.0477 |
| USP3 | Q6JHV3 | Ubiquitin carboxyl-terminal hydrolase; Ubiquitin carboxyl-terminal hydrolase 3 | 0.222 | 0.566 | − 0.976 | 0.0271 |
| VIM | P08670 | Vimentin | − 0.921 | 6.92E−08 | − 0.55 | 6.45E−06 |
| YAP1 | P46937-5 | Transcriptional coactivator YAP1 | − 0.986 | 0.0564 | 1.03 | 0.048 |
| ZYX | Q15942 | Zyxin | 0.32 | 0.00366 | 0.442 | 0.000433 |
| Inflammation | ||||||
| ALCAM | Q13740-2 | Activated leukocyte cell adhesion molecule (ALCAM)), CD166 antigen | 0.501 | 0.00101 | 0.619 | 0.000221 |
| ANO6 | Q4KMQ2 | Anoctamin-6 | 0.614 | 0.00175 | 0.72 | 0.000592 |
| BCAP29 | C9IYK6 | B-cell receptor-associated protein 29 | 1.28 | 0.000694 | 1.05 | 0.00257 |
| CD46 | P15529-15 | Membrane cofactor protein (MCP; CD46) | 0.681 | 0.0334 | 1.35 | 0.000705 |
| DPP8 | J3KPT0 | Dipeptidyl peptidase 8 | − 0.171 | 0.684 | − 2.69 | 8.37E−05 |
| FAS | Q59FU8 | Tumor necrosis factor receptor superfamily member 6 | 0.768 | 0.0123 | 0.972 | 0.00328 |
| FLOT1 | O75955 | Flotillin-1 | 0.469 | 0.000443 | 0.349 | 0.00317 |
| FSTL1 | Q12841 | Follistatin-related protein 1 | − 0.0333 | 0.673 | 0.859 | 9.64E−07 |
| ICAM2 | J3QRT5 | Intercellular adhesion molecule (ICAM) 2 | − 0.657 | 2.45E−06 | 0.152 | 0.0434 |
| IFI16 | Q16666-3 | Gamma-interferon-inducible protein 16 | − 0.0187 | 0.822 | 0.188 | 0.0434 |
| IGBP1 | P78318 | Immunoglobulin-binding protein 1 | 0.485 | 0.0248 | 0.545 | 0.0143 |
| IL18 | Q14116 | Interleukin-18 | 0.935 | 0.000787 | 0.286 | 0.169 |
| ILF2 | Q12905 | Interleukin enhancer-binding factor 2 | − 1.5 | 5.78E−08 | 0.301 | 0.0124 |
| ILK | A0A0A0MTH3 | Integrin-linked protein kinase | 0.264 | 0.0545 | 0.388 | 0.00986 |
| IRF2BP1 | Q8IU81 | Interferon regulatory factor 2-binding protein 1 | 0.589 | 0.214 | − 2.4 | 0.000366 |
| LRRFIP1 | Q32MZ4-3 | Leucine-rich repeat flightless-interacting protein 1 | 0.785 | 3.18E−05 | 0.406 | 0.00361 |
| MCAM | P43121 | Cell surface glycoprotein MUC18 (CD146) | 0.315 | 0.0255 | 1.03 | 8.83E−06 |
| PHB | P35232 | Prohibitin | − 0.103 | 0.223 | − 0.285 | 0.00529 |
| PHB2 | Q99623 | Prohibitin-2 | − 0.15 | 0.15 | − 0.282 | 0.0154 |
| TNFRSF10A | F8U8C0 | Tumor necrosis factor receptor superfamily member 10A | − 2.36 | 0.00512 | 1.72 | 0.0253 |
| TXLNA (IL14) | P40222 | Alpha-taxilin (interleukin-14 (IL-14)) | − 0.905 | 3.13E−06 | 0.606 | 8.66E−05 |
| Apoptosis | ||||||
| ACIN1 | S4R3H4 | Apoptotic chromatin condensation inducer in the nucleus | 0.92 | 0.0934 | 1.15 | 0.0435 |
| ATR | Q13535-2 | Serine/threonine-protein kinase ATR | 1.49 | 0.0554 | − 1.79 | 0.0272 |
| AVEN | Q9NQS1 | Cell death regulator Aven | 0.264 | 0.581 | 1.27 | 0.0218 |
| BCL10 | O95999 | B-cell lymphoma/leukemia 10 | 0.736 | 0.0998 | 1.06 | 0.0265 |
| BCLAF1 | Q9NYF8-2 | Bcl-2-associated transcription factor 1 | 1.73 | 2.45E−06 | 0.548 | 0.0104 |
| CASP3 | P42574 | Caspase-3;Caspase-3 subunit p17;Caspase-3 subunit p12 | − 0.0909 | 0.26 | 0.0458 | 0.56 |
| CASP7 | P55210 | Caspase-7;Caspase-7 subunit p20;Caspase-7 subunit p11 | 0.653 | 0.000382 | 0.307 | 0.0311 |
| CIAPIN1 | Q6FI81 | Anamorsin | 0.345 | 0.00507 | − 0.224 | 0.0414 |
| DIDO1 | Q9BTC0 | Death-inducer obliterator 1 | 0.46 | 0.0234 | 0.435 | 0.0298 |
| GOT1 | P17174 | Aspartate aminotransferase, cytoplasmic | 0.457 | 0.000117 | 0.386 | 0.000408 |
| GOT2 | P00505 | Aspartate aminotransferase, mitochondrial | 0.587 | 0.000342 | 0.891 | 1.27E−05 |
| PDCD5 | O14737 | Programmed cell death protein 5 | 0.762 | 7.04E−05 | 0.234 | 0.0674 |
| PYCARD | Q9ULZ3-3 | Apoptosis-associated speck-like protein containing a CARD | 0.314 | 0.44 | 1.25 | 0.00991 |
| URM1 | Q9BTM9-3 | Ubiquitin-related modifier 1x | − 0.138 | 0.735 | 1.11 | 0.0202 |
| Oxidative stress | ||||||
| CAT | P04040 | Catalase | 0.769 | 0.000307 | 0.809 | 0.00021 |
| GSTO1 | P78417 | Glutathione S-transferase omega-1 | − 0.109 | 0.21 | 0.26 | 0.0101 |
| GSTP1 | P09211 | Glutathione S-transferase P | − 0.971 | 0.000519 | − 0.667 | 0.00586 |
| HAGH | Q16775-2 | Hydroxyacylglutathione hydrolase, mitochondrial | 0.123 | 0.366 | 0.471 | 0.00508 |
| MT2A | P02795 | Metallothionein-2;Metallothionein-1G | 1.24 | 7.33E−06 | 0.406 | 0.0169 |
| PON2 | A0A0J9YXF2 | Serum paraoxonase/arylesterase 2 | 0.102 | 0.13 | 0.33 | 0.000383 |
| PRDX3 | P30048-2 | Thioredoxin-dependent peroxide reductase, mitochondrial | − 0.196 | 0.0231 | 0.281 | 0.00342 |
| PRDX5 | P30044-2 | Peroxiredoxin-5, mitochondrial | 0.271 | 0.0158 | − 0.281 | 0.0132 |
| PRDX6 | P30041 | Peroxiredoxin-6 | 0.032 | 0.557 | − 0.134 | 0.0303 |
| SOD1 | P00441 | Superoxide dismutase [Cu–Zn] | 0.639 | 0.000607 | 0.28 | 0.053 |
| TXNL1 | O43396 | Thioredoxin-like protein 1 | 0.404 | 0.00109 | 0.407 | 0.00103 |
| TXNRD1 | Q16881-4 | Thioredoxin reductase 1, cytoplasmic | 0.00881 | 0.891 | 0.152 | 0.0375 |
| TXNRD2 | A0A182DWF2 | Thioredoxin reductase 2, mitochondrial | 0.73 | 0.000102 | 0.278 | 0.0357 |
| UBQLN1 | Q9UMX0 | Ubiquilin-1 | 0.233 | 0.0598 | 0.503 | 0.00114 |
In addition to EndMT markers, we found that DOX significantly altered the expression of proteins related to inflammation as compared to control (Table 1 ). Notably, a combination of MSPPOH and DOX led to a significant upregulation of proinflammatory proteins such as Activated leukocyte cell adhesion molecule (ALCAM, CD166 antigen), Anoctamin-6, B-cell receptor-associated protein 29, CD46, Tumor necrosis factor receptor superfamily member 6, Flotillin-1, Follistatin-related protein 1, Intercellular adhesion molecule (ICAM) 2, Gamma-interferon-inducible protein 16, Immunoglobulin-binding protein 1, Interleukin enhancer-binding factor 2, Integrin-linked protein kinase (ILK), Leucine-rich repeat flightless-interacting protein 1, CD146, Tumor necrosis factor receptor superfamily member 10A, and IL-14 when compared to DOX alone (Table 1 ). On the other hand, treatment of cells with MSPPOH and DOX significantly downregulated anti-inflammatory proteins like Dipeptidyl peptidase 8, Interferon regulatory factor 2-binding protein 1, Prohibitin, and Prohibitin-2 as compared to cells treated with DOX alone (Table 1 ). Together, our findings suggest that MSPPOH further aggravated DOX-induced inflammation at the protein level.
Consistent with our mRNA and flow cytometry data, we found that MSPPOH worsened DOX-induced apoptosis in our endothelial cells by increasing the protein expression of various apoptosis-related proteins such as Apoptotic chromatin condensation inducer in the nucleus (ACIN1), Cell death regulator Aven, B-cell lymphoma/leukemia 10, Bcl-2-associated transcription factor 1, Caspase-7, Death-inducer obliterator 1, Aspartate aminotransferase, a Programmed cell death protein 5, Apoptosis-associated speck-like protein containing a CARD, and Ubiquitin-related modifier 1× when compared to DOX alone. Also, MSPPOH significantly decreased the expression of antiapoptotic proteins like Serine/threonine-protein kinase ATR and Anamorsin in cells treated with DOX compared to DOX alone (Table 1 ).
Since DOX is known to cause oxidative stress in numerous experimental models, we also investigated if the detrimental effect of MSPPOH in our endothelial cell model is also linked with further aggravation of oxidative stress. Using our proteomics profile, we found that MSPPOH significantly altered the levels of various oxidative stress markers such as Catalase, Glutathione S-transferase omega-1, Glutathione S-transferase P, Hydroxyacylglutathione hydrolase, mitochondrial Metallothionein-2, Serum paraoxonase, Thioredoxin-dependent peroxide reductase, Peroxiredoxin-5, Peroxiredoxin-6, Superoxide dismutase [Cu–Zn], Thioredoxin-like protein 1, Thioredoxin reductase 1, cytoplasmic Thioredoxin reductase 2, and mitochondrial Ubiquilin-1 in cells treated with DOX when compared to DOX alone (Table 1 ). Overall, our proteomics profile confirms that MSPPOH worsened DOX-induced EndMT, inflammation, apoptosis and oxidative stress.
CYP epoxygenase inhibitor exacerbates doxorubicin-induced endothelial toxicity in vivo in zebrafish model
We sought to determine whether the DOX-induced endothelial toxicity is also aggravated by CYP epoxygenase inhibition in vivo. To do this, we treated embryonic zebrafish with DOX in the presence and absence of MSPPOH at 24 hpf (Fig. 6 A). We then assessed the cardiovascular function using the Viewpoints MicroZebralab at 72 hpf (Fig. 6 A). Notably, we found that DOX treatment in zebrafish resulted in a significant decrease in the diameter, sheer stress, and blood flow velocity of both the Dorsal Aorta (DA) and the Posterior Cardinal Vein (PCV) when compared to the control group (Fig. 6 C–H). Interestingly, while the combination of MSPPOH and DOX caused a modest reduction in the diameter and velocity of both the DA and PCV (Fig. 6 C, E, F, H), it significantly worsened the shear stress of both the DA and PCV when compared to DOX treatment alone (Fig. 6 D, G). To confirm if MSPPOH exacerbates DOX-induced endothelial toxicity in zebrafish at the molecular level, we conducted qRT-PCR tests to measure the expression of EndMT markers. Consistent with our in vitro data, we found that a combination of MSPPOH and DOX led to a significant upregulation of EndMT markers, including sna1, col1a1, vimentin and tgfβ when compared to DOX alone and control (Fig. 6 I, J, K, L). Together, our data indicate that MSPPOH aggravates DOX-induced endothelial damage in zebrafish.
Иллюстрация — в первоисточнике ↗
Doxorubicin-induced cardiac injury is worsened by CYP epoxygenase inhibitor in vivo in zebrafish
Given (i) the detrimental role of endothelial toxicity and EndMT in cardiac function [ 7 ], and (ii) the inhibition of CYP epoxygenases worsened DOX-induced endothelial toxicity and EndMT, we aimed to explore whether CYP epoxygenase inhibitor, MSPPOH, also exacerbated cardiac injury induced by DOX in vivo in our embryonic zebrafish model. To test this, we examined the cardiac morphology, cardiac function parameters, and cardiac injury markers in our embryonic zebrafish treated with DOX with or without MSPPOH. Importantly, we found that DOX treatment caused cardiac edema, reduced stroke volume, and cardiac output, as well as it upregulated the expression of myh6 and myh7 in our embryonic zebrafish model compared to the control group (Fig. 7 A–C, E, F and Supplementary Table 3). Interestingly, the incidence and size of cardiac edema were further exacerbated in our zebrafish treated with a combination of MSPPOH and DOX compared to DOX alone (Fig. 7 A and Supplementary Table 3). Additionally, MSPPOH significantly reduced cardiac output (Fig. 7 C) and upregulated the expression of cardiac injury markers, myh6 and myh7 (Fig. 7 E, F), in zebrafish treated with DOX compared to DOX alone. However, neither DOX nor MSPPOH significantly changed arterial pulse and nppb expression in our embryonic zebrafish model (Fig. 7 D, G). Overall, our data suggests that MSPPOH exacerbates DOX-induced cardiovascular toxicity in our embryonic zebrafish model (Fig. 8 ).
Иллюстрация — в первоисточнике ↗
Иллюстрация — в первоисточнике ↗
Discussion
DOX is a potent anticancer agent used to combat a wide range of malignancies [ 15 ]. However, the detrimental cardiotoxic effect of DOX limits its clinical potential and impairs the quality and duration of the post-chemotherapy life of cancer patients [ 8 ]. While previous studies primarily focused on the direct impact of DOX on cardiomyocytes, recent studies suggest that DOX toxicity may start earlier and affect the endothelium [ 1 , 14 , 23 , 31 ]. However, the molecular mechanism responsible for endothelial toxicity is still unclear.
In the present study, we show that DOX promotes a phenotypic transition of human endothelial cells into mesenchymal traits in a process known as EndMT. We also provide evidence suggesting that DOX-induced EndMT was associated with the upregulation of pro-inflammatory, oxidative stress, and apoptotic markers in our human endothelial cells. Our work agrees with a previous report demonstrating that EndMT promotes the upregulation of pro-inflammatory, oxidative stress, and apoptotic markers to contribute to DOX-induced endothelial toxicity [ 14 ]. On the other hand, it has been shown that reducing EndMT improves endothelial function and reduces endothelial and cardiac inflammation, oxidative stress, and apoptosis in a model of DOX-induced cardiotoxicity [ 31 ]. Thus, it is likely that EndMT plays a critical role in DOX-induced endothelial dysfunction and cardiotoxicity.
The present study also sheds light on the vital role of CYP epoxygenase in the maintenance of endothelial health. We show that inhibiting CYP epoxygenases using a selective CYP epoxygenase inhibitor, MSPPOH, further exacerbates DOX-induced EndMT, inflammation, oxidative stress, and apoptosis in our human endothelial cells. This finding is in agreement with a recent report showing that loss of endothelial CYP epoxygenase function induces endothelial inflammation, oxidative stress, and apoptosis in mouse endothelial and aortic cells [ 28 ]. Based on these findings, it is reasonable to assume that CYP epoxygenase plays a physiologic protective effect on DOX-induced endothelial toxicity. Consistent with this, a previous study has demonstrated that the gain of endothelial CYP epoxygenase function, like overexpression of CYP2J, reduces endothelial inflammation, oxidative stress, and apoptosis in a mouse model of cardiovascular injury [ 2 ]. Thus, our data suggest that suppressing endothelial CYP epoxygenase function promotes DOX-induced endothelial toxicity and could contribute to DOX-induced cardiovascular toxicity.
Growing evidence indicates that EndMT and subsequent endothelial toxicity are known to disrupt the endothelial barrier, increase vascular permeability, and lead to cardiac edema and inflammation [ 14 , 19 , 47 ]. Thus, it is likely that suppression of CYP epoxygenase could also exacerbate DOX-induced cardiovascular toxicity. Consistent with this notion, we found that suppression of CYP epoxygenase exacerbates endothelial toxicity, lowers shear stress, reduces vascular function, increases cardiac edema, and lowers cardiac output in our zebrafish model of DOX-induced cardiotoxicity. This finding is congruent with a recent observation showing that the downregulation of endothelial CYP2j induces endothelial inflammation and toxicity and leads to cardiac injury [ 45 ]. On the other hand, overexpression of endothelial Cyp2j reduces endothelial toxicity, attenuates vascular dysfunction, decreases cardiac inflammation, and improves myocardial function in numerous models of cardiac injury [ 46 , 48 ].
An important limitation of our study is that we used EA.hy926 cells as a model for endothelial cells. While EA.hy926 cell line is a somatic hybrid of primary human umbilical vascular endothelial cells and A549 cancer cells, EA.hy926 cell line exhibits a specific characteristic of vascular endothelial cells structure like the presence of Weibel-Palade bodies and function, such as, the regulation of inflammation, blood pressure, homeostasis and angiogenesis [ 4 , 22 ]. Also, although our findings indicate that MSPPOH promotes EndMT in DOX-treated cells, we did not confirm our findings using different endothelial cell lines to rule out cell line-specific differences. Thus, our findings should be confirmed in other endothelial cell models like primary endothelial cells such as human aortic and coronary artery endothelial cells [ 5 ]. Finally, while MSPPOH worsens endothelial toxicity and exacerbates DOX-induced cardiovascular dysfunction in our zebrafish model, we do not have experimental evidence demonstrating that endothelial toxicity contributes to DOX-induced cardiotoxicity.
Conclusion
In summary, our data indicate that increased EndMT, along with endothelial inflammation, oxidative stress, and apoptosis, play a vital role in DOX-induced endothelial dysfunction and cardiovascular toxicity. We also show that suppression of endothelial CYP epoxygenase promotes DOX-induced endothelial toxicity to contributes to DOX-induced cardiovascular toxicity. Given that: (a) there is a need for pharmaceutical targets to minimize DOX-induced cardiotoxicity while maintaining anticancer effectiveness, and (b) EndMT is linked to cancer growth, metastasis, and tumor cell resistance to DOX [ 6 , 7 ], strategies that target the EndMT, such as activating the CYP epoxygenase system, may help reduce DOX-induced cardiotoxicity while preserving and/or improving its anticancer effectiveness. Thus, further research is warranted to test the protein expression and the activity of enzymes that regulate EETs in endothelial cells as well as to explore whether CYP epoxygenase pathway may prove to be a potential target to alleviate cardiotoxicity in patients undergoing chemotherapy.
Supplementary Information
Below is the link to the electronic supplementary material.
Supplementary file1 (DOCX 22 KB)
Supplementary file2 (DOCX 20 KB)
Supplementary file3 (DOCX 14 KB)
Author contributions
All authors have read and approved the manuscript. Participated in research design: ZHM. Conducted experiments: ZHM, HD, LT, MH, TS, SY. Performed data analysis: ZHM, HD, SY, LT, HY. Wrote or contributed to the writing of the manuscript: ZHM, HD, LT, MH, HY, HMK.
Funding
Open Access funding provided by the Qatar National Library. This publication was supported by Qatar University Internal Grant No. QUCG-CPH-23/24-209. The findings achieved herein are solely the responsibility of the authors. Open Access funding is provided by the Qatar National Library.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Conflict of interest
The authors declare no competing interests.
Ethical approval
This experiment was carried out using wild-type zebrafish embryos (AB strain). All animal studies were conducted in accordance with international guidelines and the polices required by Qatar University and the Department of Research in the Ministry of Public Health for the use of zebrafish in experimental studies under the approval of the Institutional Animal Care and Use Committee (IACUC) (QU-IACUC 020/2020-REN2).
Research involving human participants
This study does not involve any clinical-related study and no patients were enrolled.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
1. Abdelgawad IY, Agostinucci K, Zordoky BN (2022) Cardiovascular ramifications of therapy-induced endothelial cell senescence in cancer survivors. Biochim Biophys Acta Mol Basis Dis 1868:166352. 10.1016/j.bbadis.2022.166352
2. Abraham NG, Sodhi K, Silvis AM, Vanella L, Favero G, Rezzani R, Lee C, Zeldin DC, Schwartzman ML (2014) CYP2J2 targeting to endothelial cells attenuates adiposity and vascular dysfunction in mice fed a high-fat diet by reprogramming adipocyte phenotype. Hypertension 64:1352–1361. 10.1161/HYPERTENSIONAHA.114.03884
3. Althurwi HN, Maayah ZH, Elshenawy OH, El-Kadi AO (2015) Early changes in cytochrome P450s and their associated arachidonic acid metabolites play a crucial role in the initiation of cardiac hypertrophy induced by isoproterenol. Drug Metab Dispos 43:1254–1266. 10.1124/dmd.115.063776
4. Baranska P, Jerczynska H, Pawlowska Z, Koziolkiewicz W, Cierniewski CS (2005) Expression of integrins and adhesive properties of human endothelial cell line EA.hy 926. Cancer Genomics Proteomics 2:265–269
5. Chen L, Holder R, Porter C, Shah Z (2021) Vitamin D3 attenuates doxorubicin-induced senescence of human aortic endothelial cells by upregulation of IL-10 via the pAMPKalpha/Sirt1/Foxo3a signaling pathway. PLoS ONE 16:e0252816. 10.1371/journal.pone.0252816
6. Choi S-H, Kim A-R, Nam J-K, Kim J-M, Kim J-Y, Seo HR, Lee H-J, Cho J, Lee Y-J (2018) Tumour-vasculature development via endothelial-to-mesenchymal transition after radiotherapy controls CD44v6+ cancer cell and macrophage polarization. Nat Commun. 10.1038/s41467-018-07470-w
7. Choi KJ, Nam JK, Kim JH, Choi SH, Lee YJ (2020) Endothelial-to-mesenchymal transition in anticancer therapy and normal tissue damage. Exp Mol Med 52:781–792. 10.1038/s12276-020-0439-4
8. Christiansen S, Autschbach R (2006) Doxorubicin in experimental and clinical heart failure. Eur J Cardiothorac Surg 30:611–616. 10.1016/j.ejcts.2006.06.024
9. Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M (2011) Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 10:1794–1805. 10.1021/pr101065j
10. Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M (2014) Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics 13:2513–2526. 10.1074/mcp.M113.031591
11. De Angelis A, Urbanek K, Cappetta D, Piegari E, Ciuffreda LP, Rivellino A, Russo R, Esposito G, Rossi F, Berrino L (2016) Doxorubicin cardiotoxicity and target cells: a broader perspective. Cardio-Oncology. 10.1186/s40959-016-0012-4
12. Dhulkifle H, Sayed TS, Abunada HH, Abulola SM, Alhoshani A, Korashy HM, Maayah ZH (2023) 6-Formylindolo(3,2-b)carbazole dampens inflammation and reduces endotoxin-induced kidney injury via Nrf2 activation. Chem Res Toxicol 36:552–560. 10.1021/acs.chemrestox.3c00002
13. Ellinsworth DC, Earley S, Murphy TV, Sandow SL (2014) Endothelial control of vasodilation: integration of myoendothelial microdomain signalling and modulation by epoxyeicosatrienoic acids. Pflügers Arch Eur J Physiol 466:389–405. 10.1007/s00424-013-1303-3
14. Feng J, Wu Y (2023) Endothelial-to-mesenchymal transition: potential target of doxorubicin-induced cardiotoxicity. Am J Cardiovasc Drugs 23:231–246. 10.1007/s40256-023-00573-w
15. Fernandez-Chas M, Curtis MJ, Niederer SA (2018) Mechanism of doxorubicin cardiotoxicity evaluated by integrating multiple molecular effects into a biophysical model. Br J Pharmacol 175:763–781. 10.1111/bph.14104
16. Huang B, Cui YQ, Guo WB, Yang L, Miao AJ (2020) Waterborne and dietary accumulation of well-dispersible hematite nanoparticles by zebrafish at different life stages. Environ Pollut 259:113852. 10.1016/j.envpol.2019.113852
17. Imig JD (2012) Epoxides and soluble epoxide hydrolase in cardiovascular physiology. Physiol Rev 92:101–130. 10.1152/physrev.00021.2011
18. Imig JD (2020) Eicosanoid blood vessel regulation in physiological and pathological states. Clin Sci 134:2707–2727. 10.1042/CS20191209
19. Kovacic JC, Dimmeler S, Harvey RP, Finkel T, Aikawa E, Krenning G, Baker AH (2019) Endothelial to mesenchymal transition in cardiovascular disease: JACC state-of-the-art review. J Am Coll Cardiol 73:190–209. 10.1016/j.jacc.2018.09.089
20. Lai J, Chen C (2021) The Role of Epoxyeicosatrienoic acids in cardiac remodeling. Front Physiol 12:642470. 10.3389/fphys.2021.642470
21. Liu Y, Asnani A, Zou L, Bentley VL, Yu M, Wang Y, Dellaire G, Sarkar KS, Dai M, Chen HH, Sosnovik DE, Shin JT, Haber DA, Berman JN, Chao W, Peterson RT (2014) Visnagin protects against doxorubicin-induced cardiomyopathy through modulation of mitochondrial malate dehydrogenase. Sci Transl Med 6:266ra170. 10.1126/scitranslmed.3010189
22. Lu ZJ, Ren YQ, Wang GP, Song Q, Li M, Jiang SS, Ning T, Guan YS, Yang JL, Luo F (2009) Biological behaviors and proteomics analysis of hybrid cell line EAhy926 and its parent cell line A549. J Exp Clin Cancer Res 28:16. 10.1186/1756-9966-28-16
23. Luu AZ, Chowdhury B, Al-Omran M, Teoh H, Hess DA, Verma S (2018) Role of endothelium in doxorubicin-induced cardiomyopathy. JACC 3:861–870. 10.1016/j.jacbts.2018.06.005
24. Maayah ZH, Abdelhamid G, El-Kadi AO (2015) Development of cellular hypertrophy by 8-hydroxyeicosatetraenoic acid in the human ventricular cardiomyocyte, RL-14 cell line, is implicated by MAPK and NF-kappaB. Cell Biol Toxicol 31:241–259. 10.1007/s10565-015-9308-7
25. Maayah ZH, Abdelhamid G, Elshenawy OH, El-Sherbeni AA, Althurwi HN, McGinn E, Dawood D, Alammari AH, El-Kadi AOS (2018) The role of soluble epoxide hydrolase enzyme on daunorubicin-mediated cardiotoxicity. Cardiovasc Toxicol 18:268–283. 10.1007/s12012-017-9437-8
26. Maayah ZH, Levasseur J, Siva Piragasam R, Abdelhamid G, Dyck JRB, Fahlman RP, Siraki AG, El-Kadi AOS (2018) 2-Methoxyestradiol protects against pressure overload-induced left ventricular hypertrophy. Sci Rep 8:2780. 10.1038/s41598-018-20613-9
27. Maayah ZH, McGinn E, Al Batran R, Gopal K, Ussher JR, El-Kadi AOS (2019) Role of cytochrome p450 and soluble epoxide hydrolase enzymes and their associated metabolites in the pathogenesis of diabetic cardiomyopathy. J Cardiovasc Pharmacol 74:235–245. 10.1097/FJC.0000000000000707
28. Malacarne PF, Ratiu C, Gajos-Draus A, Muller N, Lopez M, Pfluger-Muller B, Ding X, Warwick T, Oo J, Siragusa M, Angioni C, Gunther S, Weigert A, Geisslinger G, Lutjohann D, Schunck WH, Fleming I, Brandes RP, Rezende F (2022) Loss of endothelial cytochrome P450 reductase induces vascular dysfunction in mice. Hypertension 79:1216–1226. 10.1161/HYPERTENSIONAHA.121.18752
29. Medici D, Kalluri R (2012) Endothelial-mesenchymal transition and its contribution to the emergence of stem cell phenotype. Semin Cancer Biol 22:379–384. 10.1016/j.semcancer.2012.04.004
30. Mitry MA, Edwards JG (2016) Doxorubicin induced heart failure: phenotype and molecular mechanisms. Int J Cardiol Heart Vasc 10:17–24. 10.1016/j.ijcha.2015.11.004
31. Pan JA, Zhang H, Lin H, Gao L, Zhang HL, Zhang JF, Wang CQ, Gu J (2021) Irisin ameliorates doxorubicin-induced cardiac perivascular fibrosis through inhibiting endothelial-to-mesenchymal transition by regulating ROS accumulation and autophagy disorder in endothelial cells. Redox Biol 46:102120. 10.1016/j.redox.2021.102120
32. Pullen AB, Kain V, Serhan CN, Halade GV (2020) Molecular and cellular differences in cardiac repair of male and female mice. J Am Heart Assoc 9:e015672. 10.1161/JAHA.119.015672
33. Roche C, Besnier M, Cassel R, Harouki N, Coquerel D, Guerrot D, Nicol L, Loizon E, Remy-Jouet I, Morisseau C, Mulder P, Ouvrard-Pascaud A, Madec AM, Richard V, Bellien J (2015) Soluble epoxide hydrolase inhibition improves coronary endothelial function and prevents the development of cardiac alterations in obese insulin-resistant mice. Am J Physiol Heart Circ Physiol 308:H1020–H1029. 10.1152/ajpheart.00465.2014
34. Sikora T, Morawska K, Lisowski W, Rytel P, Dylong A (2022) Application of optical methods for determination of concentration of doxorubicin in blood and plasma. Pharmaceuticals. 10.3390/ph15020112
35. Therachiyil L, Krishnankutty R, Ahmad F, Mateo JM, Uddin S, Korashy HM (2022) Aryl hydrocarbon receptor promotes cell growth, stemness like characteristics, and metastasis in human ovarian cancer via activation of PI3K/Akt, beta-catenin, and epithelial to mesenchymal transition pathways. Int J Mol Sci. 10.3390/ijms23126395
36. Therachiyil L, Peerapen P, Younis SM, Ahmad A, Thongboonkerd V, Uddin S, Korashy HM (2024) Proteomic insight towards key modulating proteins regulated by the aryl hydrocarbon receptor involved in ovarian carcinogenesis and chemoresistance. J Proteomics 295:105108. 10.1016/j.jprot.2024.105108
37. Thorn CF, Oshiro C, Marsh S, Hernandez-Boussard T, Mcleod H, Klein TE, Altman RB (2011) Doxorubicin pathways. Pharmacogenet Genomics 21:440–446. 10.1097/fpc.0b013e32833ffb56
38. Tyanova S, Temu T, Cox J (2016) The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat Protoc 11:2301–2319. 10.1038/nprot.2016.136
39. Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, Cox J (2016) The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13:731–740. 10.1038/nmeth.3901
40. Wang Y-XJ, Ulu A, Zhang L-N, Hammock B (2010) Soluble epoxide hydrolase in atherosclerosis. Curr Atheroscler Rep 12:174–183. 10.1007/s11883-010-0108-5
41. Wang X, Han W, Zhang Y, Zong Y, Tan N, Zhang Y, Li L, Liu C, Liu L (2022) Soluble epoxide hydrolase inhibitor t-AUCB ameliorates vascular endothelial dysfunction by influencing the NF-kappaB/miR-155–5p/eNOS/NO/IkappaB cycle in hypertensive rats. Antioxidants. 10.3390/antiox11071372
42. Xiao L, Dudley AC (2017) Fine-tuning vascular fate during endothelial–mesenchymal transition. J Pathol 241:25–35. 10.1002/path.4814
43. Yalcin HC, Amindari A, Butcher JT, Althani A, Yacoub M (2017) Heart function and hemodynamic analysis for zebrafish embryos. Dev Dyn 246:868–880. 10.1002/dvdy.24497
44. Yang L, Maki-Petaja K, Cheriyan J, McEniery C, Wilkinson IB (2015) The role of epoxyeicosatrienoic acids in the cardiovascular system. Br J Clin Pharmacol 80:28–44. 10.1111/bcp.12603
45. Zhang Y, Lu J, Huang S, Zhang Y, Liu J, Xu Y, Yao B, Wang X (2023) CYP2J deficiency leads to cardiac injury and presents dual regulatory effects on cardiac function in rats. Toxicol Appl Pharmacol 473:116610. 10.1016/j.taap.2023.116610
46. Zhao Q, Huang J, Wang D, Chen L, Sun D, Zhao C (2018) Endothelium-specific CYP2J2 overexpression improves cardiac dysfunction by promoting angiogenesis via Jagged1/Notch1 signaling. J Mol Cell Cardiol 123:118–127. 10.1016/j.yjmcc.2018.08.027
47. Zhou K, Tian K-J, Yan B-J, Gui D-D, Luo W, Ren Z, Wei D-H, Liu L-S, Jiang Z-S (2021) A promising field: regulating imbalance of EndMT in cardiovascular diseases. Cell Cycle 20:1477–1486. 10.1080/15384101.2021.1951939
48. Zhu C, Bai Y, Qiu J, Chen G, Guo X, Xu R (2024) CYP2J2-derived epoxyeicosatrienoic acids protect against doxorubicin-induced cardiotoxicity by reducing oxidative stress and apoptosis via activation of the AMPK pathway. Heliyon 10:e23526. 10.1016/j.heliyon.2023.e23526
Associated Data
Supplementary Materials
Supplementary file1 (DOCX 22 KB)
Supplementary file2 (DOCX 20 KB)
Supplementary file3 (DOCX 14 KB)
Data Availability Statement
No datasets were generated or analysed during the current study.