Abstract
Age-related macular degeneration (AMD) is a leading cause of blindness with limited effective treatment. Although the pathogenesis of this disease is complex and not fully understood, the oxidative damage caused by excessive reactive oxygen species (ROS) in retinal pigment epithelium (RPE) has been considered as a major cause. Autophagy is essential for the degradation of cellular components damaged by ROS, and its dysregulation has been implicated in AMD pathogenesis. Therefore, strategies aiming to boost autophagy could be effective in protecting RPE cells from oxidative damage. Metformin is the first-line anti-type 2 diabetes drug and has been reported to stimulate autophagy in many tissues. We therefore hypothesized that metformin may be able to protect RPE cells against H2O2-induced oxidative damage by autophagy activation. In the present study, we found that metformin attenuated H2O2-induced cell viability loss, apoptosis, elevated ROS levels, and the collapse of the mitochondria membrane potential in D407 cells. Autophagy was stimulated by metformin, and inhibition of autophagy by 3-methyladenine (3-MA) and chloroquine (CQ) or knockdown of Beclin1 and LC3B blocked the protective effects of metformin. In addition, we showed that metformin could activate the AMPK pathway, whereas both pharmacological and genetic inhibitions of AMPK blocked the autophagy-stimulating and protective effects of metformin. Metformin conferred a similar protection against H2O2-induced oxidative damage in primary cultured human RPE cells. Taken together, these results demonstrate that metformin could protect RPE cells from H2O2-induced oxidative damage by stimulating autophagy via the activation of the AMPK pathway, supporting its potential use in the prevention and treatment of AMD.
1. Introduction
Age-related macular degeneration (AMD) is the leading cause of blindness in individuals over 50 years of age. It is a disease that affects the macula of the retina, causing a chronic and progressive vision loss [1]. Late AMD can be divided into neovascular (wet) and nonneovascular (dry) forms [1]. Currently, therapies such as antivascular endothelial growth factor (anti-VEGF) therapy have been proven to be effective in treating wet AMD [2]. However, dry AMD, which accounts for approximately 90% of AMD cases, still lacks an effective treatment.
Although the pathogenesis of dry AMD is complex, the degeneration of the aging retinal pigment epithelium (RPE) cells is widely considered to be the initial event [3]. The RPE consists of a single layer of epithelial cells that sustains the function of photoreceptor cells by supporting the phagocytosis of photoreceptor outer segments (POS), vitamin A metabolism, and the regeneration of visual pigments [4–7]. Its impairment results in a secondary degradation of photoreceptors and eventually leads to vision loss [3, 8]. RPE cells are especially susceptible to ROS-induced oxidative damage. As a high energy-demanding tissue, RPE cells produce high levels of ROS derived from the oxygen metabolism [5, 9]. ROS can also be generated by light or the phagocytosis of POS in RPE [5, 10]. Additionally, studies have been showing that RPE cell impairment can lead to the accumulation of damaged organelles and various nonfunctional or toxic proteins, including lipofuscin, and promote the formation of drusen which is a typical characteristic of AMD [11].
Autophagy is a protective mechanism designed for the degradation and removal of different cellular components, including those damaged by ROS, supporting cellular renovation and homeostasis [5]. The autophagic process begins with the formation of a sequestering membrane, termed as phagophore, to form an autophagosome that subsequently engulfs the intracellular components and carry them to lysosomes for degradation [12]. Autophagy initiation is controlled by the activation of ULK-1 complex I (contains ULK1, FIP200, and ATG13) and of Beclin1 complex II (contains the proteins p150 and Atg14L and class III phosphatidylinositol 3-phosphate kinase Vps34). Following amino acid withdrawal, ULK-1 was shown to phosphorylate Beclin1, and this phosphorylation step is crucial for the function of Beclin1 in autophagy [13]. The active ULK-1 and Beclin1 complexes relocalize to the site of autophagosome initiation, the phagophore, where they both contribute to the recruitment of different downstream autophagy components [14]. The phagophore formation is followed by the elongation stage of autophagy essential for the expansion of the autophagosomal membrane which requires ATG5–ATG12 and the microtubule-associated protein light chain 3 (LC3–ATG8) conjugation systems [15]. The autophagosomal formation is denoted by the combination of cytosolic LC3-I with phosphatidylethanolamine on the surface of the autophagosomal membrane forming LC3-II protein, which is visible as discrete puncta on immunofluorescence analysis. Being proportional to the number of autophagic vesicles, LC3 is considered an autophagosome marker molecule [16]. The LC3-binding protein p62, also known as sequestosome 1 (SQSTM1), binds to the LC3-II protein located on the inner membrane of the autophagosome and then is degraded in autophagolysosomes. The inhibition of autophagy is accompanied by the accumulation of p62 protein [17]. Many lines of evidences suggest that autophagy impairment is associated with a variety of diseases, such as diabetes and cancer, infectious diseases, and neurodegenerative diseases, including AMD [18, 19]. Specifically, autophagy has been shown to be crucial for RPE homeostasis and visual cycle, as evidenced by the decreased POS responses to light stimuli in mice with essential autophagy gene Atg5-deficient RPE cells [20]. In AMD, impaired autophagic capacity occurs simultaneously with the accumulation of dysfunctional mitochondria and toxic proteins that ultimately lead to RPE cell damage or apoptosis [7, 21]. While autophagy inhibition in ARPE-19 cells by 3-MA or by the knockdown of ATG7 or Beclin1 was reported to increase its susceptibility to H2O2-induced oxidative damage, autophagy upregulation by rapamycin was shown to protect the cells from H2O2-induced injury [7]. Therefore, strategies aimed at upregulating autophagy may be helpful for protecting RPE cells from oxidative damage and preventing or reversing the progression of AMD.
Metformin, a biguanide derivate widely used in the treatment of type 2 diabetes, has been shown to stimulate autophagy in a variety of tissues by activating AMP-activated protein kinase (AMPK) [22–24]. AMPK is an energy sensor that maintains the cellular energy homeostasis by regulating several important cellular processes, such as cell growth and proliferation, apoptosis, and autophagy [22, 25]. AMPK can activate autophagy by inhibiting the mammalian target of rapamycin (mTOR) [26]. In addition, AMPK activation also promotes autophagy by directly phosphorylating ULK1, the protein kinase that initiates autophagy [27]. We have previously reported that metformin could protect neuronal cells from H2O2-induced oxidative damage by activating AMPK [28]. Given the crucial role of autophagy in AMD pathogenesis, we therefore hypothesized that metformin may confer a similar protection in RPE cells by stimulating autophagy. In the present study, we aimed to investigate whether metformin could protect RPE cells from H2O2-induced oxidative damage and whether the protective effects are associated with the upregulation of autophagy promoted by AMPK activation.
2. Materials and Methods
2.1. Materials
Human retinal pigment epithelial cell line D407 was obtained from the cell bank, Sun Yat-sen University (Guangzhou, China); human primary cultured human retinal pigment epithelial (hRPE) cells were obtained from the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, and were approved by the Ethics Committee of Zhongshan Ophthalmic Center (2018KYPJ082, 15 May 2018). Analytical grade metformin was purchased from Meilunbio (Dalian China). H2O2 and DMSO were obtained from Sigma (St. Louis, MO, USA). LDH Cytotoxicity Assay Kit was ordered from Beyotime Biotechnology (Haimen, China). Fetal bovine serum (FBS) and DMEM were purchased from Invitrogen (Carlsbad, CA, USA); methyl thiazolyl tetrazolium (MTT), JC-1, and Hoechst 33342 were purchased from Molecular Probes (Eugene, OR, USA). DCFH-DA reagent was ordered from Beyotime Institute of Biotechnology (Shanghai, China). Annexin V-FITC/PI Apoptosis Detection Kit was obtained from BD Biosciences (San Diego, CA, USA). Dorsomorphin (compound C), 3-methyladenine (3-MA), and chloroquine (CQ) were ordered from Calbiochem (San Diego, CA, USA). Antibodies were purchased from Cell Signaling Technology (Woburn, USA). The detailed information of the antibodies is shown in Table 1. Tandem fluorescent-tagged LC3 (mRFP-GFP-LC3) reporter, shRNA for LC3B, Beclin1, and AMPK shRNA were synthesized by Shanghai Genechem Co. Ltd (Shanghai, China). The shRNA sequence information is shown in Table 2.
Table 1.
Antibody | Cat. No. | Source | Company | Dilution |
---|---|---|---|---|
LC3B (D11) XP | 2639 | Rabbit | CST | WB: 1 : 1000/ICC: 1 : 100 |
P62/SQSTM1 | 18420-1-AP | Rabbit | PROTEINTECH | WB: 1 : 1000/ICC: 1 : 100 |
P-beclin1 (ser93) | 14717s | Rabbit | CST | WB: 1 : 1000 |
P-ulk1 (ser757) | 6888s | Rabbit | CST | WB: 1 : 1000 |
P-AMPKα (Thr172) | 2535s | Rabbit | CST | WB: 1 : 1000/ICC: 1 : 100 |
AMPKα (23A3) | 2603S | Rabbit | CST | WB: 1 : 1000/ICC: 1 : 100 |
β-Actin (D6A8) | 12620s | Rabbit | CST | WB: 1 : 1000/ICC: 1 : 100 |
Anti-rabbit IgG HRP | 7074 | Rabbit | CST | WB: 1 : 2000 |
Alexa Fluor® 594 | 8889 | Rabbit | CST | ICC: 1 : 500 |
Alexa Fluor® 488 | 4412 | Rabbit | CST | ICC: 1 : 500 |
Table 2.
Gene name | GenBank ID | Target sequence | Starting position | GC (%) |
---|---|---|---|---|
shAMPK1 (PRKAA2-RNAi1) | NM_006252 | GGCTTATCATCTTATCATT | 1028 | 31.58 |
shAMPK2 (PRKAA2-RNAi2) | NM_006252 | TGTGAAAGAAGTGTGTGAA | 938 | 36.84 |
shAMPK3 (PRKAA2-RNAi3) | NM_006252 | CACTGAAACGAGCAACTAT | 820 | 42.11 |
shBeclin1 (BECN1) | NM_003766 | gaGAGGAGCCATTTATTGAAA | 358 | 36.84 |
shLC3B | NM_022818 | GTGCATGTCAGTTGTGGAGAA | 1653 | 47.62 |
Note: sh-CTL control insertion sequence: TTCTCCGAACGTGTCACGT; shRNA structure: hU6-MCS-Ubiquitin-EGFP-IRES-puromycin.
2.2. Cell Culture and Treatments
D407 cells were maintained in DMEM supplemented with 10% FBS and 1% penicillin/streptomycin. Human RPE cells (hRPE) were cultured in DMEM/F12 supplemented with 10% FBS and 1% penicillin/streptomycin. Cell cultures were incubated in a 37°C incubator with 5% CO2 humidified atmosphere. The medium was replaced every 2-3 days and subcultured using 0.25% trypsin treatment twice a week. Passages 6-8 of D407 cells were used for all the experiments. Cell treatments were performed by incubating the cells with the respective drugs diluted in blank cell culture medium. In cells treated with more than one drug, the medium was changed and substituted by the subsequent medium-containing compound.
2.3. MTT Assay
Cell viability was estimated using MTT assay. Briefly, cells were seeded into 96-well plates at a density of 1 × 104 cells/mL. On the following day, cells were incubated with drugs diluted in cell culture medium for an appropriate time. Cells were then incubated with MTT (0.5 mg/mL) for additional 3 h, and the medium was replaced with DMSO (100 μL/well) to dissolve the formazan crystals. The absorbance at 570 nm was measured using Infinite® 200 PRO NanoQuant Multimode Microplate Reader (Tecan Trading AG, Switzerland). Assays were repeated at least three times in quintuplicate.
2.4. LDH Assay
Cell cytotoxicity was assessed by measuring the activity of lactate dehydrogenase (LDH) released into the medium. Upon damage of the cell membranes, LDH is released into the culture medium and its quantification can be used as a measure of cell death. Briefly, D407 cells were seeded into 96-well plates at a density of 1 × 104 cells/mL, and the activity of LDH was determined using LDH assay (C0017, Beyotime, Shanghai, China) according to the manufacturer's instructions. The absorbance value was measured by the Infinite® 200 PRO NanoQuant Multimode Microplate Reader at a wavelength of 490 nm.
2.5. Measurement of Intracellular ROS Levels
Intracellular ROS levels were evaluated using the DCFH-DA reagent (S0033, Beyotime, Shanghai, China). After appropriate treatment, D407 cells were washed with 1x PBS for 3 times and then incubated with 5 mM DCFH-DA reagent in blank DMEM medium for 1 h in the dark and then rinsed twice with 1xPBS. The absorbance value was measured by the Infinite® 200 PRO NanoQuant Multimode Microplate Reader at an excitation wavelength of 488 nm and an emission wavelength of 525 nm. The image was taken using a fluorescent microscope (Olympus, Japan). ROS levels were quantified using ImageJ software. All values of % ROS levels were normalized to the control group.
2.6. Measurement of Mitochondrial Membrane Potential (Δψm)
JC-1 dye was used to measure the mitochondrial membrane potential (Δψm). The cells were seeded into 96-well plates (1 × 104 cells/well). After appropriate treatment, cells were incubated with JC-1 dye (10 μg/mL in medium) at 37°C for 30 min and then washed twice with PBS. The red (excitation 560 nm, emission 595 nm) and green (excitation 485 nm, emission 535 nm) fluorescence signals were monitored using the Infinite® 200 PRO NanoQuant Multimode Microplate Reader. The ratio of JC-1 red/green fluorescence intensity was calculated.
2.7. TUNEL Staining
Apoptosis was determined by the TUNEL assay using the TUNEL kit (C1089, Beyotime, Shanghai, China). The cells were seeded into 96-well plates (1 × 104 cells/well). After treatment, cells were incubated with a TUNEL reaction mixture (50 μL) at 37°C for 60 min in the dark condition. Cells staining red were positive for TUNEL staining and considered apoptotic. The apoptotic index was measured according to the following formula: apoptotic index (%) = (apoptotic cells/total cells) × 100%.
2.8. Hoechst 33342 Staining
The DNA binding dye Hoechst 33342 was used to measure cell apoptosis. The cells were seeded into 96-well plates (1 × 104 cells/well). After treatment, cells were washed with PBS and fixed with 4% formaldehyde for 15-20 min at room temperature. The cells were then incubated with 10 μg/mL of Hoechst 33342 for 2 min at room temperature. After this period, the cells were washed with PBS and observed under EVOS FL Imaging System (Thermo Fisher Scientific, Waltham, MA, USA). Cells exhibiting fragmented nuclei or condensed chromatin were scored as apoptotic cells.
2.9. Flow Cytometry
Flow cytometry was used to assess cell apoptosis. Briefly, D407 cells were trypsinized after the treatment, washed twice with 1x PBS, and then centrifuged at 1000 rpm for 5 min and resuspended in Annexin V-FITC 1x binding buffer (195 μL). The cells were supplemented with Annexin V-FITC (5 μL) and incubated in the dark at 37°C for 20 min. After this period the cells were centrifuged at 1000 rpm for 5 min, resuspended in 1x binding buffer (190 μL) and incubated with propidium iodide (PI) (10 μL) in the dark for 5 min. Apoptosis was quantified using the flow cytometer. Cell Quest Pro software (BD AccuriC6, BD, USA) was used for the analysis of the apoptosis condition.
2.10. Immunocytochemistry
After appropriate treatment, D407 cells were fixed with 4% paraformaldehyde (PFA) at room temperature for 15 min and then washed with 1x PBS for three times. The cells were then incubated with 1x PBST (containing 0.25% Triton X-100) for 10 min and blocked with 3% BSA for 1 h at room temperature. Afterwards, cells were incubated with the primary antibody in PBS containing 1% BSA at 4°C overnight. The following day, the cells were washed 3 times with PBS for 5 min and incubated with the secondary antibody for 1 h at room temperature in the dark. Nuclei were counterstained with one drop of antifade mounting medium with DAPI (P0131, Beyotime), and the images were acquired with a Nikon A1 confocal microscope.
2.11. Measurement of the Autophagic Flux
Monitoring Autophagy flux is important for the analysis of autophagy. A tandem fluorescent-tagged LC3 (mRFP-GFP-LC3) virus vector was used to investigate the autophagic flux based on the different pH stability of mRFP and GFP fluorescent proteins. While mRFP is pH insensitive, GFP is degraded in the acidic environment of autophagolysosomes. Cells with no autophagy and cells containing autophagosomes exhibit yellow fluorescence due to the coexpression of mRFP and GFP. Upon fusion of autophagosomes and lysosomes to form autophagolysosomes, the acidic lysosomal environment quenches the acid-sensitive GFP, while RFP is not affected, causing autophagolysosomes to exhibit a red fluorescence. Therefore, red fluorescence can be used to measure the autophagic flux. Approximately 5 × 104 D407 cells were seeded in 12-well plates covered with coverslips and grown in DMEM medium with 10% FBS until 60% confluence. Diluted virus stock solutions in blank medium (20, 40, and 80 multiplicity of cellular infection (MOI)) were added to the cells. After 12 h of infection, the medium was changed to complete culture medium (DMEM medium with 10% FBS) and the cells were cultured for additional 48 h before adding the drugs. After treatment, the cells were fixed in 4% PFA for 10-15 min at room temperature. Fixed cells were then washed twice with 1x PBS. The coverslips were mounted on glass slides using VECTASHIELD® Mounting Medium without DAPI (H-1000). The images were acquired using a Nikon A1 confocal microscope.
2.12. Western Blotting
Cells were harvested and lysed with ice-cold RIPA lysis buffer. Protein concentration was determined by the BCA method. Samples with an equal amount of proteins (50 μg) were separated by 10% SDS-PAGE and then transferred to a PVDF membrane. After blocking with 3% BSA for 1 h, the membranes were incubated with the selective primary antibodies at 4°C overnight. The next day, the primary antibody was washed with 1x TBST for three times and incubated with a secondary antibody for another 2 h. The intensity of the bands was quantified using ImageJ software.
2.13. LC3B And AMPK Silencing by shRNA
Gene silencing by shRNA was performed as previously described [29]. Before the experiment, transfection complexes were made by mixing shRNA with Lipo2000 and Opti-MEM followed by incubation for 15 min at room temperature. Obtained transfection complexes were added drop-wise onto cell cultures. The cells were then moved to a 37°C incubator and maintained for 6 h. After this period, the medium was replaced by complete medium. Cells were collected for further experiments 48 h after transfection.
2.14. Statistical Analysis
All the results are presented as the mean ± SD for triplicates. Data was analyzed using GraphPad Prism 5.0 statistical software (GraphPad software, Inc., San Diego, CA, USA). Statistical analysis was carried out using one-way ANOVA followed by Tukey's multiple comparison post hoc test, with p < 0.05 being considered statistically significant.
3. Results
3.1. Metformin Protected D407 Cells from H2O2-Induced Cell Death
To evaluate the cytotoxicity of H2O2, D407 cells were incubated with varying concentrations of H2O2 (50-800 μM) for 24 h. As shown in Figure 1(a), H2O2 significantly decreased the cell viability in a concentration-dependent manner starting at 200 μM, and this concentration was chosen for the following experiments. To evaluate the protective effect of metformin on H2O2-induced cell toxicity, D407 cells were pretreated with metformin (0.125-1 mM) for 2 h before being exposed to 200 μM H2O2 for 24 h. The results of the MTT assay showed that metformin pretreatment significantly attenuated H2O2-induced cell viability loss (Figure 1(b)). As 1 mM of metformin showed no cytotoxicity and also the most significant protection, this concentration was used in subsequent experiments. Cell apoptosis plays an essential role in H2O2-induced cell injury and metformin pretreatment significantly mitigated cell apoptosis caused by H2O2. Metformin treatment alone did not induce any detectable apoptosis in D407 cells (Figures 1(c)–1(f)).
3.2. Metformin Inhibited H2O2-Induced Reactive Oxygen Species (ROS) Production and Loss of Mitochondrial Membrane Potential (Δψm) in D407 Cells
The generation of excessive ROS has been considered a major cause of H2O2-induced oxidative damage and cell death. As shown in Figures 2(a) and 2(b), 200 μM H2O2 resulted in a remarkable increase of cellular ROS levels, whereas metformin treatment alone did not cause any detectable change. However, pretreatment of D407 cells with 1 mM metformin significantly inhibited H2O2-induced excessive ROS accumulation. The loss of mitochondrial membrane potential (Δψm) due to mitochondrial damage is reported to be a hallmark of cell apoptosis caused by H2O2, and pretreatment of the cells with 1 mM metformin prevented the loss of Δψm induced by 200 μM H2O2. Metformin treatment alone did not affect the Δψm in D407 cells (Figures 2(c) and 2(d)).
3.3. Metformin Activates Autophagy in D407 Cells
Knowing that autophagy is an important protective mechanism to remove damaged cellular components and protect the cells from oxidative damage, we postulated that metformin could confer protection against H2O2-induced oxidative damage in D407 cells by enhancing autophagy. To test this hypothesis, we first evaluated if metformin could stimulate autophagy by measuring the autophagic flux. We first explored the optimal MOI value of the virus solution by comparing the fluorescence intensity of cells infected with virus solutions with different MOI values (20, 40, and 80) (Fig. S1). According to the results, 80 MOI had the highest virus infection efficiency and this dilution was used to treat the cells before the treatments. The autophagic flux was measured by comparing the abundance of autophagosomes labeled with yellow and red fluorescence. As shown in Figure 3(a), 1 mM metformin induced an increase in the number of red light spots indicative of the stimulatory effect of metformin on the autophagic flux in D407 cells. When autophagy occurs, the cytoplasmic form LC3-I combines with phosphatidylethanolamine to form LC3-II, which is a marker of autophagosome formation. As an isoform of LC3, LC3B is widely used as a molecular marker of autophagy. Accordingly, Western blot analysis confirmed that metformin treatment increased the level of LC3B-II expression (Figure 3(b)). Further confirmation was achieved through the assessment of the effect of metformin treatment in LC3B-II and p62 proteins levels and in ULK-1 and Beclin1 phosphorylation. As shown in Figures 3(c) and 3(d), metformin treatment promoted the increase of LC3B-II levels and of ULK-1 and Beclin1 phosphorylation in a time- and dose-dependent manner. In contrast, p62 levels were decreased by metformin treatment in a similar manner. Taken together, these findings are indicative that metformin is able to activate autophagy.
3.4. Autophagy Inhibition Blocked the Protective Effect of Metformin
In order to investigate whether autophagy is involved in the metformin-mediated protection against H2O2-induced oxidative damage, we used 3-MA and CQ to inhibit the formation of functional autophagosomes and the autophagosome-lysosome fusion, respectively [30, 31]. As shown in Figure 4(a), metformin pretreatment induced an increase in the number of autophagosome puncta containing LC3B in the cells exposed to H2O2 damage, which is indicative of its ability to stimulate the autophagic flux. Acute H2O2 treatment was previously reported to induce autophagy as a protective attempt to prevent oxidative damage in RPE cells [7]. Consistent with this finding, our results showed that treating D407 cells with 200 μM H2O2 for 24 h resulted in an increase of the number of LC3 puncta per cell that was further strengthened by 1 mM metformin pretreatment. p62 is a substrate of autophagy widely used as a marker of autophagic degradation [32]. A recent study has shown that oxidative stress upregulated p62 gene expression to assist selective autophagy, serving as an early protective response [33]. In line with this, we found that H2O2 induced the elevation of p62 levels in D407 cells. In addition, p62 levels were significantly decreased upon metformin treatment. 3-MA pretreatment reversed metformin-induced increase of LC3B expression and decrease of p62 expression, whereas CQ pretreatment resulted in the accumulation of both LC3B and p62, representing the blockade of the autophagic flux. In addition, inhibition of autophagy by either 3-MA or CQ blocked metformin-induced protection against H2O2-induced cell viability loss (Figures 4(b) and 4(c)). To further confirm these findings, we proceeded to the knockdown of the key autophagic proteins Beclin1 or LC3B by using shRNA. As expected, the knockdown of either gene abolished the protective effect of metformin on H2O2-induced cell viability loss, ROS production, and loss of mitochondrial membrane potential, indicating the essential role of autophagy activation in metformin-mediated protective effects (Figures 4(d)–4(h)).
3.5. AMPK Signaling Is Involved in the Protective Effect of Metformin against H2O2-Induced Cell Damage
As metformin has been shown to activate AMPK-dependent autophagy in many tissues, we investigated whether metformin could stimulate AMPK phosphorylation in D407 cells. As shown in Figures 5(a) and 5(b), metformin treatment caused a significant upregulation of AMPK phosphorylation levels in a dose-dependent manner, starting at 1 mM. Similarly, metformin also time-dependently stimulated AMPK phosphorylation in D407 cells (Figures 5(c) and 5(d)). Additionally, we performed immunocytochemistry to detect the levels and subcellular localization of phosphorylated AMPK (P-AMPK). As presented in Figure 5(e), P-AMPK is mainly located in the cytoplasm in both basal and H2O2-stimulating conditions. Exposure to metformin promoted the increase of P-AMPK levels in both the cytoplasm and the nucleus, being more prominent in the latter, when cells were treated with or without H2O2. These findings are indicative that metformin is able to stimulate AMPK activation in D407 cells.
3.6. The Activation of Autophagy and the Protective Effect of Metformin Decreased after Inhibition of AMPK Signaling Pathway
In order to investigate if AMPK signaling is required for the metformin-mediated autophagy upregulation and its protective effect in D407 cells, we proceeded to the inhibition of AMPK using compound C (AMPK inhibitor). The results revealed that compound C reversed both the metformin-induced upregulation of LC3B levels and downregulation of p62 levels (Figures 6(a) and 6(b)). Moreover, AMPK inhibition blocked the effect of metformin in the phosphorylation levels of ULK-1 and Beclin1 (Figure 6(b)), suggesting that metformin-induced autophagy in D407 cells is AMPK-dependent. Further assessment of AMPK-mediated autophagy in the protective effect of metformin revealed that upon AMPK inhibition metformin failed to protect D407 cells from H2O2-induced cell viability loss (Figure 6(c)). In addition, metformin reversion of H2O2-induced LDH release was blocked by compound C treatment (Figure 6(d)). To confirm this finding, we proceeded to the knockdown of AMPK in D407 cells. The knockdown efficiency of different shRNA is shown in Figure 6(e), and shAMPK3 was used in following experiments as it was who most effectively suppressed AMPK expression. As presented in Figure 6(f), AMPK knockdown abolished metformin-mediated protection against H2O2-induced cell viability loss. Taken together, metformin conferred protection against H2O2-induced cell damage by stimulating AMPK-dependent autophagy.
3.7. Metformin Showed Similar Protective Effects in Primary RPE Cells
Our findings were further verified in primary RPE cells. As shown in Figure 7(a), H2O2 caused significant cytotoxicity in primary RPE cells starting at 200 μM, and this concentration was chosen for the following experiments. Consistent with the observations in D407 cells, 0.125-2 μM metformin treatment had no cytotoxicity effect in primary RPE cells (Figure 7(b)). Metformin pretreatment significantly reversed H2O2-induced cell viability loss and this protective effect peaked at the concentration of 0.5 mM (Figure 7(b)). In addition, compound C also blocked the protective effect of metformin against H2O2-induced cell viability loss, suggesting that metformin-mediated protection is dependent of the AMPK pathway (Figure 7(c)). Taken together, our results demonstrate that metformin has a similar protective effect in primary RPE cells.
4. Discussion
Although the pathogenesis of AMD is complex, RPE degeneration caused by oxidative damage has been considered a major cause of this condition. The retina is a high oxygen-consuming tissue in which redox homeostasis is particularly important [9]. Antioxidant capacity decreases with the increase of age, and the excessive ROS accumulation can lead to RPE cell damage and drive the pathogenesis of AMD [34]. Therefore, agents with antioxidant properties may confer protection against RPE degeneration induced by oxidative damage. In fact, yttrium oxide nanoparticles, which are free radical scavengers, were shown to prevent photoreceptor death in a light-damage model [35]. Additionally, dietary plant-derived antioxidants such as anthocyanins were also reported to be able to protect RPE cells from light-induced oxidative damage [36]. In the present study, we found that metformin significantly reversed H2O2-induced cell viability loss, LDH release, Δψm loss, and cell apoptosis in D407 cells. As the relevant concentrations of metformin showed no cytotoxicity, we propose that metformin treatment may serve as a safe therapeutic option for preventing and treating AMD.
Autophagy is critical for protection towards oxidative damage, and diminished autophagy has been implicated in a variety of diseases including AMD. In RPE cells, inhibition of autophagy was shown to increase ROS generation and to exacerbate oxidative stress-induced mitochondria damage and cell death [7]. Thus, interventions aimed at enhancing the autophagic flux stand as a promising strategy to prevent and reverse the progression of AMD. In RPE cells, stimulation of autophagy by rapamycin was found to protect ARPE-19 cells from a lethal dose of H2O2 [7]. Despite being a potent autophagy activator, many lines of evidences have shown that rapamycin has many adverse effects, such as diabetic-like symptoms, gastrointestinal disorders, and increased risk of infection [37, 38]. Therefore, it is important to search for other alternatives with fewer side effects.
Metformin is a widely used antidiabetic drug that acts on common pathways and confers beneficial effects on a spectrum of age-related disorders. There is clinical evidence of metformin's ability to induce autophagy or prevent oxidative stress/autophagy-related diseases, including AMD. In fact, metformin was shown to be able to protect retinal photoreceptors and RPE from oxidative stress in preclinical mouse models. Moreover, its use was also reported to reduce the likelihood of developing AMD [39]. In a different study, metformin improved the neurological function and oxidative stress status of acute stroke patients with type 2 diabetes [40]. Still, the mechanisms underlying these effects remain poorly understood. In this study, we found that metformin is able to upregulate autophagy in D407 cells, as evidenced by the increased LC3B expression and decreased p62 expression. Moreover, autophagy inhibition, with either 3-MA or CQ, blocked metformin-induced changes in LC3B and p62 levels, as well as its protective effect against H2O2-mediated cell viability loss and apoptosis. The metformin protective effect was also inhibited by the knockdown of the two essential autophagic genes Beclin1 and LC3B, suggesting that metformin protects D407 cells against H2O2-induced oxidative damage by stimulating autophagy.
Metformin has been proven to be a potent AMPK activator, and its autophagy-inductive effect has been associated with AMPK activation in many tissues [41]. Consistent with these findings, our observations showed that metformin was able to stimulate AMPK phosphorylation in a time- and dose-dependent manner. The subcellular localization of AMPK is crucial for its modulatory activity on downstream targets. By immunocytochemistry staining, we found that P-AMPK was predominately located in the cytoplasm, in both basal- and H2O2-stimulating conditions. Exposure to metformin promoted the increase of P-AMPK expression in the cytoplasm and nucleus in both conditions. In addition, both pharmacological (compound C) and genetic (shRNA) inhibitions of AMPK abolished the autophagy-stimulating and protective effects of metformin, indicating that they are AMPK-dependent. Interestingly, our findings on P-AMPK nuclear localization appear to contradict those of a study reporting that although oxidative stress triggered by diethyl maleate (DEM) induced total-AMPK nuclear accumulation, the AMPK phosphorylation and the nuclear/cytosol ratio of p-AMPK were reduced [42]. One possible explanation for this discrepancy may be the use of different cell lines and reagents to induce oxidative stress. Whereas the previous study tested the effect of DEM on HeLa cells, we used H2O2 to induce oxidative stress in D407 cells. Furthermore, although metformin-dependent AMPK activation has been reported to stimulate autophagy and to have a neuroprotective role in many studies, some exceptions have also been reported. For example, in cerebral ischemia, AMPK overactivation by a large dose of metformin treatment led to prolonged astrocytic glycolysis and subsequently to exacerbated stroke injury [43–45]. In addition, metformin-mediated AMPK activation inhibited autophagy in cancer cells [46, 47]. Another study also demonstrated that AMPK activation triggered by glucose starvation was able to prevent both autophagosome formation and lysosome acidification [48]. The precise mechanisms and consequences of metformin-regulated autophagy in different cell types and conditions are an interesting question that needs further investigation.
In our study, we found that metformin could protect D407 cells from H2O2-induced oxidative damage by stimulating autophagy via the activation of AMPK pathway. In addition, metformin also conferred a similar protection in primary cultured human RPE cells. In summary, our study demonstrates that metformin is able to protect RPE cells against H2O2-induced oxidative damage, and this effect is attributed to its ability to enhance autophagy by activating the AMPK pathway (Figure 8). Our findings reveal the underlying mechanisms of the antioxidant and autophagy-modulating effects of metformin in RPE cells and support its potential use in AMD prevention and treatment.
Acknowledgments
This research was supported by the National Natural Science Foundation of China (No. 31771128), the Science and Technology Development Fund, Macau SAR (File Nos. 0127/2019/A3, 0044/2019/AGJ, and 0113/2018/A3), and the University of Macau (File No. MYRG2018-00134-FHS). We are grateful to UM-FHS and core facilities for the equipment and administrative support for this study.
Data Availability
The data used to support the findings of this study are included within the article.
Conflicts of Interest
The authors declare that no conflict of interest exists.
Authors' Contributions
Xia Zhao and Linlin Liu contributed equally to this work.
Supplementary Materials
References
- 1.Mitchell P., Liew G., Gopinath B., Wong T. Y. Age-related macular degeneration. The Lancet. 2018;392(10153):1147–1159. doi: 10.1016/S0140-6736(18)31550-2. [DOI] [PubMed] [Google Scholar]
- 2.Lim L. S., Mitchell P., Seddon J. M., Holz F. G., Wong T. Y. Age-related macular degeneration. The Lancet. 2012;379(9827):1728–1738. doi: 10.1016/S0140-6736(12)60282-7. [DOI] [PubMed] [Google Scholar]
- 3.Cai J., Nelson K. C., Wu M., Sternberg P., Jr., Jones D. P. Oxidative damage and protection of the RPE. Progress in Retinal & Eye Research. 2000;19(2):205–221. doi: 10.1016/S1350-9462(99)00009-9. [DOI] [PubMed] [Google Scholar]
- 4.Plafker S. M., O'Mealey G. B., Szweda L. I. Mechanisms for countering oxidative stress and damage in retinal pigment epithelium. International Review of Cell & Molecular Biology. 2012;298:135–177. doi: 10.1016/B978-0-12-394309-5.00004-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Datta S., Cano M., Ebrahimi K., Wang L., Handa J. T. The impact of oxidative stress and inflammation on RPE degeneration in non- neovascular AMD. Progress in Retinal and Eye Research. 2017;60:201–218. doi: 10.1016/j.preteyeres.2017.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chong C. M., Zheng W. Artemisinin protects human retinal pigment epithelial cells from hydrogen peroxide-induced oxidative damage through activation of ERK/CREB signaling. Redox Biology. 2016;9:50–56. doi: 10.1016/j.redox.2016.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Mitter S. K., Song C., Qi X., et al. Dysregulated autophagy in the RPE is associated with increased susceptibility to oxidative stress and AMD. Autophagy. 2014;10(11):1989–2005. doi: 10.4161/auto.36184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Holz F. G., Strauss E. C., Schmitz-Valckenberg S., van Lookeren Campagne M. Geographic Atrophy: Clinical Features and Potential Therapeutic Approaches. Ophthalmology. 2014;121(5):1079–1091. doi: 10.1016/j.ophtha.2013.11.023. [DOI] [PubMed] [Google Scholar]
- 9.Yu D. Y., Cringle S. J. Retinal degeneration and local oxygen metabolism. Experimental Eye Research. 2005;80(6):745–751. doi: 10.1016/j.exer.2005.01.018. [DOI] [PubMed] [Google Scholar]
- 10.Lu H., Hunt D. M., Ganti R., et al. Metallothionein protects retinal pigment epithelial cells against apoptosis and oxidative stress. Experimental Eye Research. 2002;74(1):83–92. doi: 10.1006/exer.2001.1101. [DOI] [PubMed] [Google Scholar]
- 11.Kaarniranta K., Tokarz P., Koskela A., Paterno J., Blasiak J. Autophagy regulates death of retinal pigment epithelium cells in age-related macular degeneration. Cell Biology & Toxicology. 2017;33(2):113–128. doi: 10.1007/s10565-016-9371-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mizushima N., Komatsu M. Autophagy: renovation of cells and tissues. Cell. 2011;147(4):728–741. doi: 10.1016/j.cell.2011.10.026. [DOI] [PubMed] [Google Scholar]
- 13.Russell R. C., Tian Y., Yuan H., et al. ULK1 induces autophagy by phosphorylating Beclin-1 and activating VPS34 lipid kinase. Nature Cell Biology. 2013;15(7):741–750. doi: 10.1038/ncb2757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hurley J. H., Young L. N. Mechanisms of autophagy initiation. Annual Review of Biochemistry. 2017;86(1):225–244. doi: 10.1146/annurev-biochem-061516-044820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Janji B., Berchem G., Chouaib S. Targeting autophagy in the tumor microenvironment: new challenges and opportunities for regulating tumor immunity. Frontiers In Immunology. 2018;9 doi: 10.3389/Fimmu.2018.00887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wang A. L., Boulton M. E., Dunn, Jr W. A., et al. Using LC3 to monitor autophagy flux in the retinal pigment epithelium. Autophagy. 2014;5(8):1190–1193. doi: 10.4161/auto.5.8.10087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Liu W. J., Ye L., Huang W. F., et al. p62 links the autophagy pathway and the ubiqutin-proteasome system upon ubiquitinated protein degradation. Cellular & Molecular Biology Letters. 2016;21(1) doi: 10.1186/s11658-016-0031-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Jing K., Lim K. Why is autophagy important in human diseases? Experimental & Molecular Medicine. 2012;44(2):69–72. doi: 10.3858/emm.2012.44.2.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kaarniranta K., Sinha D., Blasiak J., et al. Autophagy and heterophagy dysregulation leads to retinal pigment epithelium dysfunction and development of age-related macular degeneration. Autophagy. 2014;9(7):973–984. doi: 10.4161/auto.24546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kim J.-Y., Zhao H., Martinez J., et al. Noncanonical autophagy promotes the visual cycle. Cell. 2013;154(2):365–376. doi: 10.1016/j.cell.2013.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Karunadharma P. P., Nordgaard C. L., Olsen T. W., Ferrington D. A. Mitochondrial DNA damage as a potential mechanism for age-related macular degeneration. Investigative Ophthalmology & Visual Science. 2010;51(11):5470–5479. doi: 10.1167/iovs.10-5429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Xie Z., Lau K., Eby B., et al. Improvement of cardiac functions by chronic metformin treatment is associated with enhanced cardiac autophagy in diabetic OVE26 mice. Diabetes. 2011;60(6):1770–1778. doi: 10.2337/db10-0351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chen D., Xia D., Pan Z., et al. Metformin protects against apoptosis and senescence in nucleus pulposus cells and ameliorates disc degeneration in vivo. Cell Death & Disease. 2016;7(10, article e2441) doi: 10.1038/cddis.2016.334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Li J., Gui Y., Ren J., et al. Metformin Protects Against Cisplatin-Induced Tubular Cell Apoptosis and Acute Kidney Injury via AMPKα-regulated Autophagy Induction. Scientific Reports. 2016;6(1) doi: 10.1038/Srep23975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dite T. A., Ling N. X. Y., Scott J. W., et al. The autophagy initiator ULK1 sensitizes AMPK to allosteric drugs. Nature Communications. 2017;8(1):p. 571. doi: 10.1038/s41467-017-00628-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hardie D. G. AMPK and autophagy get connected. The EMBO Journal. 2011;30(4):634–635. doi: 10.1038/emboj.2011.12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kim J., Kundu M., Viollet B., Guan K. L. AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1. Nature Cell Biology. 2011;13(2):132–141. doi: 10.1038/ncb2152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zhao X., Zeng Z., Gaur U., et al. Metformin protects PC12 cells and hippocampal neurons from H2O2‐induced oxidative damage through activation of AMPK pathway. Journal of Cellular Physiology. 2019;234(9):16619–16629. doi: 10.1002/jcp.28337. [DOI] [PubMed] [Google Scholar]
- 29.Li S., Gaur U., Chong C. M., et al. Berberine protects human retinal pigment epithelial cells from hydrogen peroxide-induced oxidative damage through activation of AMPK. International Journal Of Molecular Sciences. 2018;19(6):p. 1736. doi: 10.3390/Ijms19061736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tang Q., Li G., Wei X., et al. Resveratrol-induced apoptosis is enhanced by inhibition of autophagy in esophageal squamous cell carcinoma. Cancer Letters. 2013;336(2):325–337. doi: 10.1016/j.canlet.2013.03.023. [DOI] [PubMed] [Google Scholar]
- 31.Mauthe M., Orhon I., Rocchi C., et al. Chloroquine inhibits autophagic flux by decreasing autophagosome-lysosome fusion. Autophagy. 2018;14(8):1435–1455. doi: 10.1080/15548627.2018.1474314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sahani M. H., Itakura E., Mizushima N. Expression of the autophagy substrate SQSTM1/p62 is restored during prolonged starvation depending on transcriptional upregulation and autophagy- derived amino acids. Autophagy. 2014;10(3):431–441. doi: 10.4161/auto.27344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Song C., Mitter S. K., Qi X., et al. Oxidative stress-mediated NFκB phosphorylation upregulates p62/SQSTM1 and promotes retinal pigmented epithelial cell survival through increased autophagy. PLoS One. 2017;12(2, article e0171940) doi: 10.1371/journal.pone.0171940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Jarrett S. G., Boulton M. E. Consequences of oxidative stress in age-related macular degeneration. Molecular Aspects of Medicine. 2012;33(4):399–417. doi: 10.1016/j.mam.2012.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Mitra R. N., Merwin M. J., Han Z., Conley S. M., al-Ubaidi M. R., Naash M. I. Yttrium oxide nanoparticles prevent photoreceptor death in a light-damage model of retinal degeneration. Free Radical Biology & Medicine. 2014;75:140–148. doi: 10.1016/j.freeradbiomed.2014.07.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Yacout S. M., Gaillard E. R. The anthocyanins, oenin and callistephin, protect RPE cells against oxidative stress. Photochemistry and Photobiology. 2017;93(2):590–599. doi: 10.1111/php.12683. [DOI] [PubMed] [Google Scholar]
- 37.Apelo S. I. A., Lamming D. W. Rapamycin: an inhibitor of aging emerges from the soil of Easter Island. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(7):841–849. doi: 10.1093/gerona/glw090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jiang Y., Yan F., Feng Z., Lazarovici P., Zheng W. Signaling network of forkhead family of transcription factors (FOXO) in dietary restriction. Cells. 2020;9(1):p. 100. doi: 10.3390/cells9010100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Brown E. E., Ball J. D., Chen Z., Khurshid G. S., Prosperi M., Ash J. D. The common antidiabetic drug metformin reduces odds of developing age-related macular degeneration. Investigative Ophthalmology & Visual Science. 2019;60(5):1470–1477. doi: 10.1167/iovs.18-26422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zhao M., Li X. W., Chen D. Z., et al. Neuro-protective role of metformin in patients with acute stroke and type 2 diabetes mellitus via AMPK/mammalian target of rapamycin (mTOR) signaling pathway and oxidative stress. Medical Science Monitor. 2019;25:2186–2194. doi: 10.12659/MSM.911250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kim J., Yang G., Kim Y., Kim J., Ha J. AMPK activators: mechanisms of action and physiological activities. Experimental & Molecular Medicine. 2016;48(4, article e224) doi: 10.1038/emm.2016.16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kodiha M., Rassi J. G., Brown C. M., Stochaj U. Localization of AMP kinase is regulated by stress, cell density, and signaling through the MEK→ERK1/2 pathway. American Journal of Physiology-Cell Physiology. 2007;293(5):C1427–C1436. doi: 10.1152/ajpcell.00176.2007. [DOI] [PubMed] [Google Scholar]
- 43.Jiang T., Yu J. T., Zhu X. C., et al. Acute metformin preconditioning confers neuroprotection against focal cerebral ischaemia by pre-activation of AMPK-dependent autophagy. British Journal of Pharmacology. 2014;171(13):3146–3157. doi: 10.1111/bph.12655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Pellerin L., Magistretti P. J. Glutamate uptake into astrocytes stimulates aerobic glycolysis - a mechanism coupling neuronal-activity to glucose-utilization. Proceedings Of the National Academy Of Sciences Of the United States Of America. 1994;91(22):10625–10629. doi: 10.1073/pnas.91.22.10625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Li J., Benashski S. E., Venna V. R., McCullough L. D. Effects of metformin in experimental stroke. Stroke. 2010;41(11):2645–2652. doi: 10.1161/Strokeaha.110.589697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chen H., Lin C., Lu C., et al. Metformin-sensitized NSCLC cells to osimertinib via AMPK-dependent autophagy inhibition. Clinical Respiratory Journal. 2019;13(12):781–790. doi: 10.1111/crj.13091. [DOI] [PubMed] [Google Scholar]
- 47.Park D. B. Metformin promotes apoptosis but suppresses autophagy in glucose-deprived H4IIE hepatocellular carcinoma cells. Diabetes and Metabolism Journal. 2015;39(6):518–527. doi: 10.4093/dmj.2015.39.6.518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nwadike C., Williamson L. E., Gallagher L. E., Guan J. L., Chan E. Y. W. AMPK inhibits ULK1-dependent autophagosome formation and lysosomal acidification via distinct mechanisms. Molecular and Cellular Biology. 2018;38(10) doi: 10.1128/MCB.00023-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
The data used to support the findings of this study are included within the article.