Abstract
AIM
To determine the effects of safranal on choroidal neovascularization (CNV) and oxidative stress damage of human choroidal microvascular endothelial cells (HCVECs) and its possible mechanisms.
METHODS
Forty-five rats were used as a laser-induced CNV model for testing the efficacy and safety of safranal (0.5 mg/kg·d, intraperitoneally) on CNV. CNV leakage on fluorescein angiography (FA) and CNV thickness on histology was compared. HCVECs were used for a H2O2-induced oxidative stress model to test the effect of safranal in vitro. MTT essay was carried to test the inhibition rate of safranal on cell viability at different concentrations. Tube formation was used to test protective effect of safranal on angiogenesis at different concentrations. mRNA transcriptome sequencing was performed to find the possible signal pathway. The expressions of different molecules and their phosphorylation level were validated by Western blotting.
RESULTS
On FA, the average CNV leakage area was 0.73±0.49 and 0.31±0.11 mm2 (P=0.012) in the control and safranal-treated group respectively. The average CNV thickness was 127.4±18.75 and 100.6±17.34 µm (P=0.001) in control and safranal-treated group. Under the condition of oxidative stress, cell proliferation was inhibited by safranal and inhibition rates were 7.4%-35.4% at the different concentrations. For tube formation study, the number of new branches was 364 in control group and 35, 42, and 17 in 20, 40, and 80 µg/mL safranal groups respectively (P<0.01). From the KEGG pathway bubble graph, the PI3K-AKT signaling pathway showed a high gene ratio. The protein expression was elevated of insulin receptor substrate (IRS) and the phosphorylation level of PI3K, phosphoinositide-dependent protein kinase 1/2 (PDK1/2), AKT and Bcl-2 associated death promoter (BAD) was also elevated under oxidative stress condition but inhibited by safranal.
CONCLUSION
Safranal can inhibit CNV both in vivo and in vitro, and the IRS-PI3K-PDK1/2-AKT-BAD signaling pathway is involved in the pathogenesis of CNV.
Keywords: choroidal neovascularization, safranal, human choroidal microvascular endothelial cells, oxidative stress, transcriptomics
INTRODUCTION
Age-related macular degeneration (AMD), which usually occurs successively in both eyes, is mainly manifested by visual deformation, central darkening and decreased contrast. The incidence of AMD is as high as 13% and accounts for approximately 20% of the etiology of blindness among people 65y or older. Estimated 200 million people are affected by AMD all around the world in 2020[1]. Among AMD types, wet (neovascularization or exudative) AMD accounts for 10%-15% of late-stage AMD patients and is associated with approximately 90% of AMD-related vision loss[2]. The main pathological mechanism of wet AMD is the formation of choroidal neovascularization (CNV), which leads to the leakage and bleeding of blood vessels and choroidal scars, and further affects vision. Studies have proven that the occurrence of CNV is the result of an imbalance between angiogenic factors and anti-angiogenic factors. Vascular endothelial growth factor (VEGF) is a classic neovascularization factor with high specificity for vascular endothelial cells. It is the main growth factor promoting revascularization and plays an important role in the occurrence of CNV[3]–[4].
Oxidative stress also plays an important role in the formation of CNV[5]–[6]. Oxidative stress[5], which is defined as the imbalance of the internal oxidation system and antioxidant system, is correlated to the cause and prognosis of many vascular diseases and is also a primary contributor to AMD. Retinal laser therapy was first introduced to treat AMD[7]. However, the consequent scar can lead to severe loss of vision. Anti-VEGF factor agents is approved as therapeutic agents treating CNV, however, frequent injection is needed and ocular complications, including endophthalmitis is inevitable. Other treatment modalities, such as anti-inflammation therapy, are still under study on experimental models and are not yet applied to humans[8]. Thus, development of new therapy targets is needed.
Safranal, which systematic name is 2,6,6-trimethylcyclohexa-3,1-din-1-carboxaldehyde, is a volatile carboxaldehyde compound[9] and is a major constituent of saffron. Safranal has a wide spectrum of biological activities, such as antioxidant, antigenotoxic, anticancer, anti-inflammatory and so on[10]. Safranal has exhibited antioxidant and anti-apoptotic properties on the central nervous system, especially showing considerable neuroprotective effects. According to previous studies, safranal demonstrated protective effects against oxidative stress and the possible mechanism may be the induction of total antioxidant and capacity sulfhydryl content, with the decrease of malondialdehyde level[11]. As we mentioned above, good regulation of oxidative stress can promote angiogenesis and tissue repair[12]. Oxidative stress can promote inflammatory reactions, further promoting the formation of CNV and thus antioxidant stress has become a target of CNV treatment. Considering that, safranal may exert a protective effect on CNV through its antioxidant stress effect. Although safranal has been studied previously[13], its inhibitory effect on CNV needs to be confirmed in vivo and in vitro. So far, only early AMD clinical studies are carried out[14]. In terms of basic research, however, only light exposure-induced damage models on rats are investigated[14]. Considering the potential therapeutic effects of safranal on CNV, a laser-induced CNV model is necessary to verify our hypothesis, which to our knowledge hasn't been reported before.
In this study, we aimed to determine whether safranal could inhibit CNV both in vivo and in vitro and the underlying mechanism of its inhibitory effect. We confirmed the inhibitory effect of safranal on CNV through both a laser-induced CNV animal model in vivo and on cellular oxidative stress in vitro with human choroidal microvascular endothelial cells (HCVECs). Finally, using transcriptome sequencing, we found and validated the possible pathway involved.
MATERIALS AND METHODS
Ethical Approval
This study was performed according to international, national and institutional rules for medical experimental animals use and was approved by the Ethical Committee of Affiliated Hospital of Inner Mongolia University for Nationalities.
Animals
Specific, pathogen-free female Brown Norway (BN) rats weighing 150±10 g were purchased from Beijing Weitonglihua Experimental Animal Technology Co., Ltd. Animal care and experiments were conducted under institutional guidelines, and food and tap water were provided ad libitum.
Forty-five rats were divided into three groups: 1) blank control group (n=15); 2) laser-induced CNV model group (n=15); 3) safranal treated CNV model group (n=15). A CNV model was developed in all rats of group 2 and 3 with laser treatment (532 nm, 150 mW, 100ms, 100 µm; Coherent 130SL; Coherent, Santa Clara, CA, USA). Four lesions around the optic disc were made on one eye of each rat, with the other eye used as the control. Intraperitoneal (i.p.) injection was carried out immediately after laser photocoagulation. According to references, the common dose for i.p. injection of safranal was 0.5 mg/kg·d[15]–[17]. Thus rats in group 3 were treated by the i.p. injection of safranal (0.5 mg/kg·d) once a day for 21d and phosphate balanced solution (PBS) in group 2 as model control[18]. After 21d, CNV leakage was assessed by fluorescein angiography (FA) and histology to determine which group was more likely to develop CNV[19].
Measurement of Choroidal Neovascularization on Fluorescein Angiography
FA was performed on day 21 after laser photocoagulation using a digital imaging system (Micro IV, Phoenix, Phoenix City, Arizona, USA) as described previously. Fluorescein (5%, 0.2 mL) was administered i.p. after the rats were anesthetized and FA was performed after pupil dilation. Both early-phase (1min after injection) and late-phase (10min after injection) fundus angiograms were analyzed. FA were evaluated quantitatively, and the leakage area of each lesion was measured with Image J software[19].
Histological Analysis and Choroidal Neovascularization Size Measurement
Twenty-one days after laser photocoagulation, the eyeballs were removed and were fixed in in 4% paraformaldehyde for 24h at room temperature. After removal of the anterior segments, the posterior eyecups were embedded in paraffin. Sagittal sections of 6 µm were cut through the center of the eye at the site of laser photocoagulation. The sections were stained by hematoxylin and eosin (H&E) and assessed by light microscopy (LEICA DFC 300FX, Leica, Solms, Germany). A computer-assisted image analysis system was used to estimate neovascularization based on the thickness of CNV. Measurements were performed on four sections from each laser photocoagulation site[20].
Cell Culture and Grouping
HCVECs (YBio Biotech Co.,Ltd, Shanghai, China) were used in this study. In vitro assays described herein were performed, including the assessment of cell proliferation and tube formation. All other reagents were purchased from Sigma-Aldrich (St. Louis, MO, USA). H2O2 was added at 25 µmol/L as an oxidative stress model.
Cell Viability
Cellular viability of HCVECs was analyzed using MTT assay (MTT Cell Proliferation and Cytotoxicity Assay Kit; Beyotime, Shanghai, China) according to the manufacturer's instructions and as previously reported[21]–[22]. Cells were plated at 5×104 per well in 96-well plates, and cell proliferation was measured. H2O2 was added at 10 µL (25 µmol/L) as an oxidative stress model. 10 µL (10, 20, 40, 80, 160, 320, 640, 800, 1000 µ/mL, separately) safranal were added as experimental groups and 10 µL PBS was set as the blank control. Cells were cultured at 37°C overnight. 10 µL MTT was added into each well and incubated at 37°C for 4h and then the absorbance (A) of each well was estimated at 568 nm. Each experiment was repeated in five wells and was duplicated at least three times. OD (optical density) values were obtained, and the inhibition rate was calculated as (1-OD experiment group/OD negative control group) ×100%[23].
Tube Formation
Cells at a density of 2×105/well after 10 µL safranal (20, 40, 80 µg/mL, separately) treated for 24h with 10 µL PBS as the blank control. According to the manufacturer's instructions and our previous report, 150 µL Matrigel (Cat# 354234; BD Sciences, Franklin Lakes, NJ) solution was poured into 48-well plates and then incubated at 37°C for 0.5h. The HCVECs (5×104 per well) were seeded on the Matrigel and cultured for 2-8h. Networks in the Matrigel were counted and photographed. The number of new branches and new branch nodes were measured using Image J software (National Institutes of Health, Bethesda, MD). The experiments were repeated three times[21],[23]–[24].
Transcriptome Sequencing
The cells were counted and divided into three groups: 1) blank control; 2) H2O2 (10 µL, 25 µmol/L) treated as an oxidative stress model; 3) oxidative stress model with safranal (10 µL, 40 µg/mL) as treated group. Cells were cultured as described above. RNA samples were extracted and identified as previously reported[21],[24]. mRNA was enriched with oligo(dT)-coupled magnetic beads, single-stranded cDNA was synthesized with random hexamers, and double-stranded cDNA was synthesized with buffer, dNTPs, DNA polymerase I and RNase H. The purified double-stranded cDNA was first repaired at the end, followed by A tail addition and connection to the sequencing connector, and then the fragment size was selected using AMPure XP beads. Finally, PCR amplification was performed and the PCR products were purified using AMPure XP beads to obtain the final library. After the library detection was qualified, different libraries were pooled into the flow cell according to the effective concentration and the requirements of the target dismount data volume. Illumina high-throughput sequencing platform was used for sequencing after cBOT clustering.
Western Blotting
HCVECs were counted and divided into three groups: 1) blank control (HCVECs); 2) oxidative stress cell group (HCVECs+H2O2); 3) oxidative stress cell group with safranal added. Total protein was extracted from the cells, and the protein concentration was measured using the Bio-Rad assay kit (Bio-Rad, Hercules, CA, USA). Equal amounts of protein (30 µg) were resolved on 12% Tris-HCl polyacrylamide gels and then were transferred to a PVDF blotting membrane (Millipore, Billerica, MA, USA). After blocking, the membranes were incubated with specific antibodies against insulin receptor substrate (IRS), p-phosphatidylinositol 3-kinase (PI3K), t-PI3K, p-phosphoinositide-dependent protein kinase 1/2 (PDK1/2), t-PDK1/2, p-serine/threonine kinase (AKT), t-AKD and Bcl-2 associated death promoter (BAD; 1:2000, Santa Cruz, CA, USA), and GAPDH (1:2000, Abcam, Cambridge, MA, USA). After washing thoroughly, the blots were incubated with peroxidase-conjugated goat anti-rabbit or anti-mouse secondary antibodies (1:1000, ZSGB-Bio, Beijing, China), the protein bands were visualized by chemiluminescence (Pierce, Rockford, IL, USA). The experiment was repeated three times[25]–[26].
Statistical Analysis
All of the experiments were repeated three times, and the data were presented as the means±standard error of mean (SEM). Statistical analysis was performed by the Student's t test between groups and one-way ANOVA among three or more groups. P<0.05 was deemed to indicate statistical significance. All the data analyses were performed using SPSS 17.0 (Chicago, IL, USA).
RESULTS
Inhibition of Safranal in Choroidal Neovascularization Formation in vivo
Two methods were carried out to measure CNV: FA in vivo, and CNV thickness on histological analysis. Basically, 4 laser spots were carried out in each eye around the optic nerve. On day 21 after laser-induced CNV, 56 CNVs were successfully induced in 15 eyes in the PBS group, while 54 CNVs in the safranal-treated group. There was no significant difference between the two groups on CNV induction rate (P<0.05). CNV leakage area on FA was measured. The average CNV leakage area was 0.73±0.49 mm2 in the PBS group and 0.31±0.11 mm2 in the safranal-treated group (P=0.012). The inhibition rate was 42.47%. These results demonstrated that safranal-treated rat model showed less fluorescein leakage on FA analysis compared with the control rats. Histopathology was also performed comparing the CNV size between the safranal-treated and control groups. The CNV sections thickness stained with H&E were measured. The average thickness was 127.4±18.75 µm in PBS group and 100.6±17.34 µm in safranal treated group. Significant differences were found in the CNV thickness between the safranal-treated and control groups (P=0.001; Figure 1).
Figure 1. FA and histopathology results showing inhibition of CNV by safranal in vivo.
Few patches of hyperfluorescence leakage are observed at the lesion site of rats with safranal, but leakage can't be seen in rats in the control groups, with a significant difference. Significant differences are found in the CNV size between the safranal-treated and control groups. The average CNV leakage area is 0.73±0.49 mm2 in the PBS group and 0.31±0.11 mm2 in the safranal-treated group (n=15 in each group, aP <0.05). The inhibition rate is 42.47%. The CNV sections thickness stained with H&E are measured. The average thickness is 127.4±18.75 µm in PBS group and 100.6±17.34 µm in safranal treated group. A: Blank control; B: PBS control; C: Safranal-treated group; D: Statistical analysis.
Inhibitory Effect of Safranal on Oxidative Stress in HCVECs
Cells treated with H2O2 as an oxidative model were cultured with 10 µL safranal (10, 20, 40, 80, 160, 320, 640, 800, 1000 µg/mL) compared with the control. Under the condition of oxidative stress, cell proliferation was inhibited, but safranal had a protective effect on cell proliferation inhibition compared with control, and this protective effect was more obvious with the increase of safranal concentration (Figure 2). The inhibition rates for each group compared with control were 7.4%, 9.7%, 17.7%, 19.0%, 15.3%, 24.1%, 20.9%, 30.5% and 35.4% separately for different safranal concentrations.
Figure 2. MTT results show an inhibitory effect of safranal on oxidative stress cells in vitro.
Cells treated with H2O2 as an oxidative model are cultured with 10 µL safranal (10, 20, 40, 80, 160, 320, 640, 800, 1000 µg/mL) compared with the control. The inhibition rates for each group compared with control are 7.4%, 9.7%, 17.7%, 19.0%, 15.3%, 24.1%, 20.9%, 30.5%, and 35.4% separately for different safranal concentrations.
Inhibition of Tube Formation by Safranal in HCVECs
In the in vitro tube formation study, safranal-cultured HCVECs exhibited an impaired capacity to form a regular vascular network. The number of new branches and new branch nodes of the network was also significantly decreased compared with that of the control groups (P<0.01). As the concentration of safranal increases, less branch nodes were found (Figure 3). Basically, the number of new branches was 364 in control group, while the numbers in safranal group were 35, 42, and 17 in 20, 40, and 80 µg/mL respectively (P<0.01). When comes to the new branch nodes, the new branch nodes were 1543 in the control group and 46 (20 µg/mL), 59 (40 µg/mL), 16 (80 µg/mL) in safranal groups (Figure 3).
Figure 3. Safranal inhibits tube formation in vitro.
The number of new branches and new branch nodes of the network is significantly decreased compared with that of the control groups. Basically, the number of new branches is 364 in control group, while the numbers in safranal group are 35 (20 µg/mL), 42 (40 µg/mL), 17 (80 µg/mL), bP<0.01. When it comes to the new branches nodes, the new branches nodes is 1543 in the control group and 46 (20 µg/mL), 59 (40 µg/mL), 16 (80 µg/mL) in safranal groups.
Inhibition of Oxidative Stress by Safranal Identified with Transcriptome Sequencing
Applying the screening criterion established by Cufflinks, the mRNA expression patterns showed differences among the groups as follows [fold change >2.0, P<0.05 and false discovery rate (FDR) <0.05]: compared with the normal control, 85 mRNAs were up-regulated and 93 mRNAs were down-regulated in the oxidative stress group. Compared with the oxidative stress group, 145 mRNAs were up-regulated, and 169 mRNAs were down-regulated in the safranal-treated group.
Comparing the oxidative stress group with the normal control in gene set enrichment analysis, 123 terms were identified about molecular function, 133 terms about cellular component, and 650 terms about biological process. Comparing the safranal-treated group with the oxidative stress group, 123 terms were identified about molecular function, 212 terms about cellular component, and 825 terms about biological process (Figure 4).
Figure 4. Transcriptome sequencing among the three groups.

Heat-map colors represent the mean-centered fold-change gene expressions in log-space. The green color represents the down-regulated mRNAs expressions, and the red colors represent up-regulated mRNA expressions. Compared with the normal control, 85 mRNAs were up-regulated, and 93 mRNAs were down-regulated in the oxidative stress group. Compared with the oxidative stress group, 145 mRNAs were up-regulated, and 169 mRNAs were down-regulated in the safranal-treated group.
When we compared the oxidative stress group with the safranal-treated group, we enriched up to 85 pathways through the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and selected the path with a count in the top 15 to obtain the bubble graph. From the KEGG pathway bubble graph, the PI3K-AKT signaling pathway showed a high gene ratio (Figure 5). After analyzing all the data, the IRS-PI3K-PDK1/2-AKT-BAD signaling pathway was found to be activated in the oxidative stress group and deactivated in the safranal-treated group, suggesting that this signaling pathway may be involved in the treatment of CNV by safranal.
Figure 5. KEGG pathway bubble graph.

We enrich up to 85 pathways through the KEGG pathway and select the path with a count in the top 15 to obtain the bubble graph. From the KEGG pathway bubble graph, the PI3K-AKT signaling pathway shows a high gene ratio.
New Gene-gene Interaction Network by Transcriptome Sequencing
To obtain more information, differently expressed mRNAs shared between the oxidative stress group and control group and between the safranal-treated group and oxidative stress group were also compared. Key nodes analysis in the gene-gene interaction network was performed, between the closeness centrality of these genes. Four gene-gene interactions were found to be the pivotal nodes in the interaction network, including differences in the expression of CTTN-Pi4k2a, Mtmr7-Larp1p, Mfsd6-Lzic, and ctnndl-Acadul-Hibch (Figure 6).
Figure 6. Protein-protein interaction (PPI) network picture.

The line indicates the interaction between the two genes. The more edges connected to a node, the greater its connectivity, indicating the greater the importance of the node gene in the network. This network diagram shows the common interactions among the three groups in this study to demonstrate the degree of association between genes. The Strings database was used to conduct PPI network interaction analysis on the common DE mRNA, and the cutoff>500 was used as the screening threshold to get the PPI interaction relationship. Four gene-gene interactions were found to be the pivotal nodes in the interaction network, including differences in the expression of CTTN-Pi4k2a, Mtmr7-Larp1p, Mfsd6-Lzic, and ctnndl-Acadul-Hibch.
IRS-PI3K-PDK1/2-AKT-BAD Signaling Pathway Confirmed by Western Blotting
The IRS-PI3K-PDK1/2-AKT-BAD pathway revealed by transcriptome sequencing was verified by Western blot analysis. Basically, Western blot analysis of IRS, t-PI3K, p-PI3K, t-PDK1/2, p-PDK1/2, t-AKT, p-AKT and p-BAD, with GAPDH serves as an internal loading control. We found that under oxidative stress condition, the protein expression was elevated of IRS. Besides, the phosphorylation level of PI3K, PDK1/2, AKT and BAD was also elevated compared with the levels in normal control cells. After safranal treatment, however, the expression level of IRS was down regulated, so did the phosphorylation level of PI3K, PDK1/2, AKT and BAD. As a result, the components of this pathway were subsequently phosphorylated, leading the cells to a BAD-mediated apoptotic signaling pathway (Figure 7).
Figure 7. Western blot results showing the phosphorylation change in the IRS-PI3K-PDK1/2-AKT-BAD signaling pathway.

The number 1, 2, 3 stand for different groups as follows: 1 for blank control (HCVECs); 2 for oxidative stress cell group; 3 for oxidative stress cell group with safranal added. t-PI3K, t-PDK1/2, and t-AKT stand for the level of total protein levels, while p-PI3K, p-PDK1/2, p-AKT and p-BAD stand for the phosphorylated protein levels. The protein expression was elevated of IRS and the phosphorylation level of PI3K, PDK1/2, AKT and BAD was also elevated under oxidative stress condition but could be inhibited by safranal.
DISCUSSION
In the present study, we demonstrated that safranal inhibited CNV in a rat model in vivo. In vitro, the function of safranal was verified in oxidative stress cells and by tube formation studies. Furthermore, the possible signaling pathway was explored by transcriptome sequencing and the IRS-PI3K-PDK1/2-AKT-BAD pathway was identified as being associated with oxidative stress in cells and the effect could be inhibited by safranal. These findings suggest that safranal could inhibit CNV mainly through the IRS-PI3K-PDK1/2-AKT-BAD signal pathway. This is the first report concerning the effect of safranal on CNV, and additionally, the signaling pathway was first reported to be associated with CNV.
Currently, the main treatment for CNV is intravitreal injection of anti-VEGF agents. Although many other drugs are still under study, their therapeutic effects still require further investigation. Safranal is a constituent of saffron identified by pharmaceutical studies and has demonstrated antioxidant, anti-inflammatory and antiapoptotic effects[27]. For example, Alavi et al[28] found the cytoprotective potential of safranal by decreasing ROS accumulation. Malekzadeh et al[18] found that tumor necrosis factor-alpha (TNF-α) levels, Caspase-3 levels and superoxide dismutase (SOD) activity could be inhibited by safranal in diabetic rats. However, no study concerning the effect of safranal on CNV had been studied until the present experiments. Our study found an antioxidant effect on choridal vessel cells and a destructive effect of angiogenesis in vivo as well. This is the first report on the effect of safranal on neovascularization.
To obtain further knowledge about how safranal function in cells, transcriptome sequencing was carried out. After confirmation by Western blotting, the IRS-PI3K-PDK1/2-AKT-BAD signaling pathway was identified to participate in the oxidative stress process in cells. Additionally, this signaling pathway could be inhibited by safranal. IRS is an important ligand for the insulin response in cells[29]. Thus far, little research has been conducted on the relationship between IRS and CNV. Cloutier et al[29] found that an antisense oligonucleotide inhibiting IRS-1 expression shows antiangiogenic activity in a CNV model. They also found elevated IRS-1 expression in CNV patients, showing that IRS-1 may be involved in the formation process of both choroidal and retinal neovascularization. These results are consistent with our findings, demonstrating that the IRS signaling pathway is involved in the pathogenesis of CNV and that safranal can effectively reduce IRS expression in the cellular oxidative stress model, thus inhibiting CNV.
Activation of IRS triggers a series of changes in downstream signaling pathways, including the phosphorylation of PI3K. The classical PI3K/AKT signaling pathway[30]–[31], is widely involved in cell proliferation, migration, adhesion, apoptosis and angiogenesis. The PI3K/AKT pathway has also been found to be closely related to the occurrence and development of CNV in ophthalmology. For example, Zhuang et al[32] found that, in retinal CNV models after VEGF treatment, the level of p-AKT was upregulated significantly. A result of PI3K activation is the elevation of BAD, which is also closely related to neovascularization. These are consistent with our findings. Besides, not only IRS but also many other signal transduction pathways are involved in the PI3K/AKT pathway. Whether these other signaling pathways are also involved in safranal's intervention in CNV still needs further study.
Another interesting finding in transcriptome sequencing is that not only the IRS-PI3K-PDK1/2-AKT-BAD signaling pathway was involved in the process of CNV but also some gene expression differences exist based on transcriptome data: including gene expression differences in CTTN-Pi4k2a, Mtmr7-Larp1p, Mfsd6-Lzic, and ctnndl-Acadul-Hibch. Although these genes have not been confirmed to be related to the formation of CNV, some of their characteristics have been found in previous studies. For example, the CTTN gene, which mainly encodes cortactin, is related to angiogenesis and cell proliferation[33]. MFSD6 and ctnndl are found in the neurons of brain tissue and may be related to energy consumption in the brain[34]. Whether they are expressed in the retina and the possible functions need further investigation. These gene expression differences may provide directions for further exploration of the pathogenesis of CNV and possible therapeutic targets.
However, this study failed to observe whether inhibition of IRS-PI3K-PDK1/2-AKT-BAD is directly associated with the effect of safranal on CNV. Further studies are needed to clarify the role of this signaling pathway in the protection of CNV by safranal. Also, other possible mechanisms of CNV, such as the VEGF signaling pathway was not investigated in this study. In fact, VEGF has been found to stimulate VEGF-R2/IRS-1/PI3K/AKT axis to regulate endothelial nitric oxide synthase phosphorylation[35]. The association between VEGF and safranal still needs further investigation. New explorations of the pathogenesis of CNV and possible therapeutic targets require further investigation.
Acknowledgments
Foundations: Supported by the National Natural Science Foundation of China (No.81760027; No.81860763); Youth Innovation Project of Affiliated Hospital of Inner Mongolia University for Nationalities (No.2018QNJJ01); Young and Middle-aged Ophthalmic Research Fund of Bethune-Lumitin (No.BJ-LM202005).
Conflicts of Interest: Xiao-Qin, None; Sun YY, None; Lu ZJ, None; Zhang TZ, None; Li SS, None; Hua T, None; Suriguga, None; Chen WL, None; Ran LL, None; Yu WZ, None; Yang F, None; Burenbatu, None.
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