Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by the selective loss of dopaminergic neurons in the substantia nigra (SN). In a previous study, the authors demonstrated that ferritin heavy chain 1 (FTH1) inhibited ferroptosis in a model of 6-hydroxydopamine (6-OHDA)-induced PD. However, whether and how microRNAs (miRNAs/miRs) modulate FTH1 in PD ferroptosis is not yet well understood. In the present study, in vivo and in vitro models of PD induced by 6-OHDA were established. The results in vivo and in vitro revealed that the levels of the ferroptosis marker protein, glutathione peroxidase 4 (GPX4), and the PD marker protein, tyrosine hydroxylase (TH), were decreased in the model group, associated with a decreased FTH1 expression and the upregulation of miR-335. In both the in vivo and in vitro models, miR-335 mimic led to a lower FTH1 expression, exacerbated ferroptosis and an enhanced PD pathology. The luciferase 3′-untranslated region reporter results identified FTH1 as the direct target of miR-335. The silencing of FTH1 in 6-OHDA-stimulated cells enhanced the effects of miR-335 on ferroptosis and promoted PD pathology. Mechanistically, miR-335 enhanced ferroptosis through the degradation of FTH1 to increase iron release, lipid peroxidation and reactive oxygen species (ROS) accumulation, and to decrease mitochondrial membrane potential (MMP). On the whole, the findings of the present study reveal that miR-335 promotes ferroptosis by targeting FTH1 in in vitro and in vivo models of PD, providing a potential therapeutic target for the treatment of PD.
Keywords: miR-335, ferroptosis, ferritin heavy chain 1, Parkinson's disease, rat model
Introduction
Ferroptosis is the process of iron (Fe2+)-dependent programmed cell death, characterized by Fe2+-dependent lipid peroxidation, restricted metabolism, the decline of mitochondrial membrane potential (MMP) and the accumulation of intracellular reactive oxygen species (ROS) (1-4). A reduced glutathione peroxidase 4 (GPX4) activity (5) is a potent activator of ferroptosis. GPX4 is a crucial regulator of ferroptosis (6), and the inhibition of the function of GPX4 leads to the Fe2+-dependent formation of toxic lipid ROS, resulting in the induction of ferroptosis (7). Fe2+ emits electrons that generate excessive ROS, and Fe2+-dependent lipid oxygenase can promote the oxidation of polyunsaturated fatty acids (PUFAs). Ferritin heavy chain 1 (FTH1) can reverse ferroptosis by regulating iron storage and plays a vital role in proper Fe2+ management required for cell growth and function (8).
FTH1 is a 21-kDa subunit of the ferritin complex, has complementary Fe2+ modulating functions, and forms triple and quadruple pores. FTH1 is primarily regulated at a post-transcriptional level in response to intracellular Fe2+ concentrations. It can trap Fe2+ ions in the cell, and convert them to Fe3+, reducing ROS production (9-11). Thus, FTH1 is essential for maintaining Fe2+ homeostasis and preventing Fe2+ overload (12). Fe2+ release and ferritin degradation are associated with cell dysfunction through the process of ferritinophagy, causing ROS formation and lipid peroxidation by releasing iron at sufficient levels, triggering ferroptosis (13). In previous studies, the authors demonstrated that was involved in ferroptosis in in vivo and in vitro models of Parkinson's disease (PD) (14,15). Therefore, it is of considerable interest to explore the upstream molecules targeting FTH1.
PD is a chronic neurodegenerative disease. It is associated with a reduction in the neurotransmitter dopamine (DA) in the striatum (in particular, the putamen nucleus) characterized by the loss of tyrosine hydroxylase (TH)-positive nigrostriatal dopaminergic neurons in the substantia nigra (SN). Moreover, the excessive deposition of labile iron in the substantia nigra compact (SNc) has also become a PD pathological mark (16). Iron accumulated in the dopaminergic area of patients with PD is 70% higher compared with that of healthy individuals (17). The pathogenic changes observed in PD, including nigral iron elevation, mitochondriopathy, glutathione depletion, lipid peroxidation and increased ROS generation are closely associated with ferroptosis (13). However, the underlying mechanisms of ferroptosis in PD remain to be determined.
Ferroptosis, an iron-dependent cell death pathway, has recently been identified to play a role in the early stages of PD (15,18). Fe2+ is a potent reducing agent that can generate hydroxyl radicals and cause dopamine oxidation, which can act to further increase the oxidative environment of the SN and contribute to dopaminergic neuron loss (19). Genetic disorders that cause Fe2+ homeostasis in the brain often lead to the development of PD, suggesting that elevated Fe2+ levels contribute to the pathology of the disease (20,21). Moreover, mutations in several proteins related to Fe2+ intake and export are also associated with PD. For example, a mutation in the transferrin protein, a crucial protein for neuronal Fe2+ absorption, is associated with increased PD susceptibility (22,23). This finding suggests that dysregulated Fe2+ homeostasis in PD contributes to the pathogenesis of the disease. As such, investigating the association between Fe2+ management and the occurrence of ferroptosis may lead to a better understanding of the progression of PD.
MicroRNAs (miRNAs/miRs) are endogenously expressed 22-nucleotide non-coding RNAs. They regulate gene expression following transcription through base pairing with complementary sequences within the 3′-UTR of mRNAs (24-27). Previous studies have indicated that miRNAs play a vital role in the pathogenesis of PD, including dopaminergic neuron degeneration and Fe2+ regulation (28-30). However, few studies have investigated the mechanisms through which miRNAs regulate ferroptosis in PD by targeting proteins related to Fe2+ management.
In the present study, in vivo and in vitro models of 6-hydroxydopamine (6-OHDA)-induced PD were used to investigate the role of miRNAs in ferroptosis, and to examine the association between FTH1 and the occurrence of ferroptosis in PD. The findings presented herein identify FTH1 as a potential biomarker in PD and further suggest the potential of FTH1 to act as a therapeutic target for the treatment of this chronic neurodegenerative disease.
Materials and methods
Animals and materials
A total of 48 male Sprague-Dawley rats (weighing, 180-220 g; 6-8 weeks of age) were purchased from the Animal Center of Guangzhou University of Chinese Medicine (Guangzhou, China). All animal procedures were approved by the Ethics Committee of Guangzhou University of Chinese Medicine and followed the regulations of the National Institute of Health Guide for the Care and Use of Laboratory Animals. All animals were acclimated for 7 days prior to surgery and were housed in a standard animal room (humidity, 50-70%; temperature, 21-25Δ°C) with a 12-h light-dark cycle and ad libitum access to food and water.
In vivo model of PD
PD was established in the rats as previously described (15). Briefly, the rats were anesthetized (100 mg/kg ketamine and 10 mg/kg xylazine, intraperitoneal injection) and placed in a stereotaxic apparatus with the skull flat. An intracerebral injection of 6-OHDA (cat. no. H116; Sigma-Aldrich; Merck KGaA; 32 mg of 6-OHDA in a total of 4 ml in 0.02% ascorbic acid saline solution (concentrations of 8 mg/ml 6-OHDA) was performed at 2 sites in the right SN pars compacta (SNpc) and ventral tegmental area (VTA): Anteroposterior (A/P)=−4.9 mm; mediolateral (M/L)=−1.9 mm; dorsoventral (D/V)=−7.5 mm; and anteroposterior (A/P)=−4.9 mm; mediolateral (M/L)=−1.1 mm; dorsoventral (D/V)=8.0 mm. During the surgery, body temperature was maintained at ~36.5°C using a heating pad. All rats received meticulous post-operative care.
Intracerebral injection of mimic and inhibitor
A total of 24 rats were randomly assigned to 4 groups (6 rats/group) as follows: The control (saline), model (6-OHDA), mimic (6-OHDA + miR-335), or inhibitor (6-OHDA + miR-335 inhibitor). The control group was intracerebrally injected with saline, while the model group, the mimic group, and the inhibitor group received intracerebral injections of 6-OHDA. On post-surgery day 29, the mimic group and the inhibitor group received intracerebral injections of rno-miR-335 mimic (100 pmol/rat; micrON™ miRNA agomir; 5′-UCA AGA GCA AUA ACG AAA AAU GU-3′) or rno-miR-335 inhibitor (200 pmol/rat; micrOFF™ miRNA antagomir; 5′-ACA UUU UUC GUU AUU GCU CUU GA-3′) into the right SNpc: Anteroposterior (A/P)=-4.9 mm, mediolateral (M/L)=−1.9 mm, dorsoventral (D/V)=−7.5 mm). Both products were obtained from Guangzhou RiboBio Co., Ltd.
Behavioral test
On post-surgery days 0, 28 and 30, the animals were subjected to the spontaneous rotation test. Apomorphine (APO, 0.5 mg/kg; cat. no. 017-18321; Wako Pure Chemical Industries, Ltd.) was injected intraperitoneally. The rats were placed on a circular platform (50 cm in diameter). Rotational speed was recorded for overall 30 min. Rotations were counted manually 10 min after the APO injection. The striatal dopamine receptors can be super-sensitized due to a marked decrease in striatal dopamine concentration by 6-OHDA injection. Therefore, apomorphine, which is a dopamine receptor agonist, injected into the peripheral tissues, can induce the rats to exhibit rotational behavior to the left. A rotation was defined as a complete full-body turn (360°) towards the left side of the rat with one hind-paw as center and without switching head direction. If the rat turns to the right side, this did not count. Rats that turned >7 times/min were considered to have developed PD in this model (31,32).
In vitro model of PD and transfection
PC12 cells were purchased from ATCC (cat. no. CRL-1721) and cultured in RPMI-1640 medium (cat. no. C11875500BT; Gibco; Thermo Fisher Scientific, Inc.) containing 10% fetal bovine serum (cat. no. 10270-106; Gibco; Thermo Fisher Scientific, Inc.). The model group was established by stimulating the cells with 6-OHDA (50 µM) for 24 h. Erastin (cat. no. HY-15763, 1 µM), ferrostatin-1 (Fer-1; cat. no. HY-100579, 2.5 µM), and deferoxamine (DFO; cat. no. HY-B0988, 25 µM) were purchased from MedChemExpress. The cells were cultured in 6-well plates at 37°C in an incubator (5% CO2). Cells in the logarithmic growth phase were transfected for 24 h with either negative control siRNA (siRNA NC), FTH1 siRNA (siRNA-FTH1-1, siRNA-FTH1-2, siRNA-FTH1-3; 100 nM), negative control miRNA inhibitor (inhibitor NC), negative control miRNA mimic (mimic NC), miR-335 inhibitor (inhibitor), or miR-335 mimic (mimic) (GenePharma, Inc.). Transfections were carried out using Lipofectamine 3000 (cat. no. L3000015, Thermo Fisher Scientific, Inc.) according to the manufacturer's guidelines. After 24 h, western blot analysis was performed to select the most efficient siRNA-FTH1 sequence.
MTS assay
PC12 cells were inoculated in 96-well plates and 3 complex wells. Following induction with various concentrations of 6-OHDA (0, 10, 50 and 250 µM), 20 µl MTS solution (cat. no. G5421; Promega Corporation) mixed with 100 µl RPMI-1640 medium was added to each well at 2 time points (12 and 24 h). Cells were then transferred to a 5% CO2 incubator at 37°C for 1 h. An automated microplate reader was used to detect the absorbance (490 nm) to determine cell proliferation.
Candidate miRNA selection
The miRNA candidates potentially regulating FTH1 expression were selected from a list created by a bioinformatics search of three web-based algorithms: TargetScan (http://www.targetscan.org/), miRDB (http://www.mirdb.org/), and PicTar (http://www.pictar.org/). The parameters were set according to previous studies (33-35).
Total RNA extraction and RT-qPCR
For RT-qPCR, 12 rats were randomly classified into 2 groups (6 rats/group): The control (saline) and model (6-OHDA). Carbon dioxide asphyxiation was performed to sacrifice the animals. A total of 11 rats (one rat from the model group that did not reach the modeling standard was excluded from the experiment) were placed in a transparent and airtight chamber (40×20×20 cm) and gassed with carbon dioxide at a rate of 30% of the chamber volume per minute. The tissues were collected after the animal death was ensured by observing the movement, heartbeat and respiration. DNA-free RNA was obtained from SN tissue or PC12 cells using the Total RNA Extraction kit (cat. no. LS1040; Promega Corporation), and 500 ng of total RNA were reverse transcribed using the PrimeScript RT reagent kit (cat. no. RR600A, Takara Bio, Inc.) according to the manufacturer's protocol, at 37°C for 15 mins and 85°C for 30 sec. qPCR was performed in triplicate with TB Green Premix Ex Taq II (cat. no. RR820A, Takara Bio, Inc.) using a Light Cycler 480 SYBR-Green I Master Mix (Roche Diagnostics, GmbH). The amplification process was as follows: Denaturation at 95°C for 30 sec, followed by 40 cycles of denaturation at 95°C for 5 sec, annealing at 60°C for 30 sec and extension at 50°C for 30 sec. The U6 gene was used for the normalization of miRNA expression. The primers for qPCR were as follows: miR-335 RT primer, 5′-GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG ATA CGA CAC ATT T-3′; forward, 5′-CGG CGC TCA AGA GCA ATA ACG AA-3′ and reverse, 5′-ATC CAG TGC AGG GTC CGA GG-3′; U6 RT primer 5′-GTC GTA TCC AGT GCA GGG TCC GAG GTA TTC GCA CTG GAT ACG ACA AA A TA-3′; forward, 5′ AGA GAA GAT TAG CAT GGC CCC TG-3′ and reverse, 5′-ATC CAG TGC AGG GTC CGA GG-3′. Relative expression levels were analyzed using the 2−ΔΔCq method (36).
Western blot analysis
Cellular and SN tissue protein were incubated in RIPA buffer (cat. no. R0278; Sigma-Aldrich; Merck KGaA) for 1 h, then centrifuged at 12, 000 × g for 15 min at 4°C. The extracted total proteins were eluted into EP tubes, and the concentration was measured using the bicinchoninic acid (BCA) assay (cat. no. 23225, Thermo Fisher Scientific, Inc.). Protein samples were separated on a 10% SDS-PAGE gel and transferred to polyvinylidene difluoride (PVDF) membranes (EMD Millipore). Membranes were blocked for 1 h at room temperature with 5% BSA with antibodies for tyrosine hydroxylase (TH) (1:1,000; cat. no. AB152, EMD Millipore), GPX4 (1:1,000; cat. no. ab125066, Abcam), FTH1 (1:1,000; cat. no. ab183781, Abcam) and β-tubulin (1:1,000; cat. no. 2146S, Cell Signaling Technology, Inc.) overnight at 4°C. The following day, the membranes were incubated in the presence of goat anti-rabbit secondary antibody (1:1,000; cat. no. 7074S, Cell Signaling Technology, Inc.) for 2 h at room temperature. Bands were observed with Protein Simple FluorChem E. Data were analyzed using ImageJ software (version 1.52a; National Institutes of Health).
Immunohistochemistry (IHC)
A total of 12 rats were randomly divided into 2 groups (6 rats/group): The control (saline) and model (6-OHDA). On post-surgery day 28, a total of 11 rats (1 rat from the model group that did not reach the modeling standard was excluded from the experiment) were anesthetized with 100 mg/kg ketamine and 10 mg/kg xylazine intraperitoneally. The cardiac aorta injection, blood washing and brain tissue fixation were performed using normal cold saline and 4% paraformaldehyde solution. Frozen sections (20-µm-thick) were subjected to antigen retrieval under high pressure using a heated citrate buffer. Immunohistochemical staining was performed using Histostain-Plus kits (cat. no. SP-0022, BIOSS) according to the manufacturer's protocol. Tissues were incubated in the presence of primary antibodies against TH (1:250; cat. no. AB152, EMD Millipore), GPX4 (1:250; cat. no. ab125066, Abcam) and FTH1 (1:250; cat. no. ab183781, Abcam) at 4°C overnight. After washing, the sections were incubated with secondary antibody (cat. no. ab6721; horseradish peroxidase-conjugated goat anti-rabbit; 1:5,000; Abcam). Then, diaminobenzidine (DAB) (cat. no. C02-04001; BIOSS) was added, and controlled color development was performed under a light microscope (Olympus, Japan) for strictly controlled amounts of time. Tissues were counter-stained with hematoxylin (cat. no. BA4097, BaSO Biotech) for 10 sec at room temperature, dehydrated gradually with ethanol and coverslipped. Proteins of interest were quantified and analyzed using ImageJ software (version 1.52a; National Institutes of Health). The threshold feature in the menu of ImageJ software was used to count immune cells. Each immune cell was quantified using three IHC images, and the upper, middle, lower, left and right parts of each IHC image were selected.
Cellular iron concentration assay
The cellular iron concentration level was detected using a Quantichrom Iron Assay kit (cat. no. DIFE-250, BioAssay Systems). PC12 cells were cultured in 96-well plates and transfected with miR-335 mimic, miR-335 inhibitor, miR-335 NC, or siRNA-FTH1, and stimulated with 6-OHDA for 24 h. Following the manufacturer's protocol, 50 µl of standards or samples containing 106 cells were mixed with 200 µl Quantichrom Working Reagent in a 96-well plate and incubated at room temperature overnight. The optical density (OD) was measured at a wavelength of 590 nm using a microplate reader (BioTek Instruments, Inc.).
MMP assay
MMP was detected by JC-1 staining (Beijing Solarbio Science & Technology Co., Ltd.). Briefly, the PC12 cells were cultured in 6-well plates, then washed with PBS. Cells were incubated with JC-1 stain (0.5 ml) at 37°C for 20 min. A fluorescence microscope (Olympus Corporation) was used to visualize MMP.
Intracellular ferrous ion imaging
Intracellular ferrous ion distribution was assessed using a FeRhoNox-1 staining kit (Goryo Chemical, Inc.). PC12 cells (5×104/well) were seeded in a 24-well microplate overnight. Following transfection with miR-335 mimic, miR-335 inhibitor, miR-335 NC, or siRNA-FTH1, and stimulation with 6-OHDA (50 µM) for 24 h, the cell culture medium was removed. The cells were then incubated with 1 µM FeRhoNox-1 at 37°C for 1 h. After washing with PBS 3 times, Fe2+ distribution was imaged using a Cytation 5™ Cell Imaging Multi-Mode Reader (BioTek Instruments, Inc.).
Lipid peroxidation generation detection
PC12 cells (1×105/well) were seeded in 6-well plates overnight, and the cells were treated as follows: PC12 cells were transfected with miR-335 mimic, miR-335 inhibitor, miR-335 NC, or siRNA-FTH1, respectively, and then stimulated with 6-OHDA (50 µM) for 24 h; PC12 cells were treated with Erastin (cat. no. HY-15763, MedChem Express), Fer-1 (cat. no. HY-100579, MedChem Express), DFO (cat. no. HY-B0988, MedChem Express) or Z-VAD-FMK (cat. no. HY-16658B MedChem Express) for 24 h, respectively, and then stimulated with 6-OHDA (50 µM) for 24 h. The cells were incubated with 10 µM C11-BODIPY (581/591; cat. no. D3861, Thermo Fisher Scientific, Inc.) for 30 min at 37°C, then washed with PBS 3 times. Cells were harvested with trypsin (cat. no. 15050-065, Gibco; Thermo Fisher Scientific, Inc.), suspended in fresh medium, and analyzed using a CytoFLEX flow cytometer (Beckman Coulter, Inc.). Fluorescence was measured by acquiring green (484/510 nm). The butadienyl portion of C11-BODIPY581/591 was oxidized, resulting in the 510 nm fluorescence emission peak. The data were analyzed using FlowJo v10 software.
Cellular ROS detection
Cells were cultured in 6-well plates, and then collected into tubes. Buffer (10X, provided with the kit) and ddH2O were mixed at a ratio of 1:9 gently and thoroughly to yield 1X buffer. Cells were resuspended with 1 ml 1x buffer and were stained with 25 µM DCFDA (cat. no. ab113851; Abcam) in the dark at 37°C for 30 min, then analyzed using a CytoFLEX flow cytometer (Beckman Coulter, Inc.; 535 nm).
Dual luciferase reporter system assay
Dual luciferase reporter (DLR) experiments were performed on the PC12 cells. miR-335 and negative control mimic were purchased from GenePharma Co., Ltd. First, pLUc-FTH1-wild-type (WT) and pLUc-FTH1-mutant (MUT) plasmids (cat. nos. U6885-02 and U6886-02, respectively; Shenzhen Huaan Ping Kang Bio Technology, Inc.) were constructed. Cells were transfected using either WT (200 ng) or MUT (200 ng) constructs, with the miR-335 inhibitor (100 nM), miR-335 mimic (100 nM), mimic negative control (100 nM) or inhibitor negative control (100 nM). At 24 h following transfection, the DLR assay kit (E2920; Promega Corporation) was utilized to detect luminescence, according to the manufacturer's protocol. The absorbance values of sea cucumber luciferase served as an internal reference to perform normalized statistical calculations.
Statistical analysis
All experiments were carried out 3 times. Data analysis was performed using GraphPad Prism 8 (GraphPad Software, Inc.). Student's t-tests were used to determine the difference between the 2 groups for the behavioral data, immunohistochemistry, RT-qPCR, MTS assay and western blot analysis data (PC12 cells induced with gradient 6-OHDA and transfected with FTH1 siRNA). One-way ANOVA followed by post hoc Tukey's multiple comparison tests were used to analyze the difference between groups in the remaining western blot analysis data, cellular iron concentration assays, MMP, cell ROS detection and DLR assay data. Data are presented as the means ± SEM. P<0.05 was considered to indicate a statistically significant difference.
Results
TH, GPX4 and FTH1 expression levels are downregulated following 6-OHDA induction in rats
The successful establishment of the rat model of PD was assessed by performing behavioral testing on post-surgery day 28. A total of 28 rats demonstrated >7 turns/min, and 2 rats that did not reach the modeling standard were not included in the subsequent experiments (P<0.0001; Fig. 1A). Brain tissue was harvested, and immunohistochemistry was performed to detect PD-associated pathology and ferroptosis. TH is a protein marker of dopaminergic neurons in the nervous system (37). On day 28, the model rats exhibited a markedly reduced TH expression in the SN, demonstrating a significant loss of dopaminergic neurons (P=0.0125; Fig. 1B). GPX4 is a vital marker protein of ferroptosis. The results revealed that rats exposed to 6-OHDA exhibited a reduced expression of GPX4 and FTH1, demonstrating that FTH1 expression was negatively associated with the level of ferroptosis and revealing a positive association between ferroptosis and PD in the model rats (GPX4, P=0.0229; FTH1, P=0.0023; Fig. 1C and D). Therefore, it is useful to explore the upstream molecules that may target FTH1 to regulate ferroptosis in PD.
miR-335 is upregulated in PD and promotes ferroptosis and PD pathology
The target miRNAs of FTH1 were predicted using three prediction algorithms online: TargetScan (http://www.targetscan.org/), miRDB (http://www.mirdb.org/), and PicTar (http://www.pictar.org/). The parameters were set according to previous studies (35-37). The differential expression of all miRNAs predicted by 3 prediction algorithms in the the SN of control and model rats were validated by RT-qPCR. The expression of miR-335 was significantly higher in the model rats (P<0.0001; Fig. 2A). To verify the damaging effects of miR-335 in the model rats, the rats were infected with either miR-335 mimic or miR-335 inhibitor on day 29. The results of the behavioral analysis revealed that the rotations in the mimic group significantly increased (P=0.0033 compared to the model group; Fig. 2B), while those in the inhibitor group significantly decreased (P=0.0103 compared to the model group; Fig. 2B). These results indicated that miR-335 exacerbated the behavioral deficits in rats with PD. Western blot analysis was then used to detect the effects of miR-335 on the degree of PD pathology and ferroptosis in the SN of rats. miR-335 mimic significantly exacerbated PD injury and promoted ferroptosis compared to the model group by decreasing TH and GPX4 expression (TH, P=0.0329; GPX4, P=0.0005; Fig. 2C), and FTH1 expression was also markedly downregulated (P=0.0004; Fig. 2C). These results indicated that miR-335 promoted PD pathology and ferroptosis, and decreased FTH1 protein expression in PD rats. Moreover, there was a negative association between miR-335 and FTH1, suggesting that miR-335 may negatively regulate the expression of FTH1 in vivo.
miR-335 targets the 3′UTR of FTH1 mRNA
Based on these results, miR-335 was predicted to regulate FTH1. The present study then investigated whether miR-335 functions by binding with the 3′UTR of FTH1 mRNA. The binding site between miR-335 and FTH1 was predicted using TargetScan, and the plasmid profile is illustrated in Fig. 3A. A DLR assay was then conducted to demonstrate their interaction and determined an inhibitory effect of miR-335 mimic on the luciferase activity of WT FTH1 (FTH1 WT) after 24 h of transfection. Compared with the miR-335 mimic NC + FTH1 WT group, the relative luciferase activity of the miR-335 mimic + FTH1 WT group was significantly decreased (P=0.0088, Fig. 3B); compared with the miR-335 inhibitor NC + FTH1 WT group, the relative luciferase activity of the miR-335 inhibitor + FTH1 WT group was significantly increased (Fig. 3B, P=0.0387); there was no statistically significant difference between each group, following co-transfection with the FTH1-MUT plasmid (Fig. 3B, P<0.05). These results demonstrate that miR-335 targets the 3′UTR of FTH1 mRNA.
Expression of TH, GPX4 and FTH1 is decreased in 6-OHDA-stimulated cells
Cell activity assays were performed to explore the optimal 6-OHDA induction time and concentration to model PD in vitro. As shown in Fig. 4A, PC12 cells were exposed to 6-OHDA at a range of concentrations (0-250 µM) over a period of time (12-24 h). Cell viability was found to be reduced in a concentration- and time-dependent manner. The transient exposure of the PC12 cells to 50 µM of 6-OHDA for 24 h led to a 50% decrease in cell viability (P<0.0001). Thus, this protocol was adopted for use in subsequent experiments.
The present study then investigated whether the expression patterns of GPX4 and FTH1 were similar in the cell model to those of the rats with PD. Western blot analysis was used to detect the expression of TH, GPX4 and FTH1 in PC12 cells following stimulation with 6-OHDA. With the increasing 6-OHDA concentration, the expression of TH, GPX4 and FTH1 gradually decreased (Fig. 4B). These results demonstrated that with the onset of injury, the expression of TH, GPX4 and FTH1 was downregulated, which corresponds to the results obtained in the animal experiments.
Subsequently, the effect sof inducer or inhibitor of ferroptosis and inhibitors of other cell death mechanisms (such as apoptosis) on 6-OHDA-stimulated cells were investigated. The effects of the ferroptosis inducer, erastin, and the inhibitors, Fer-1 and DFO, on the expression of TH, GPX4 and FTH1 were investigated in 6-OHDA-stimulated cells. As shown in Fig. 4C, erastin treatment aggravated the effects of 6-OHDA. Compared with the model group, the expression of TH, GPX4 and FTH1 was significantly downregulated in the erastin group (cells stimulated with 6-OHDA and erastin). These effects were attenuated by the ferroptosis inhibitor, Fer-1, and the iron chelator, DFO (38). The level of lipid peroxides was increased by 21.9% in the erastin group (P=0.0015) and decreased by 35.9% (P<0.0001) and 44.4% (P<0.0001) in the Fer-1 group and DFO group compared with model group (Fig. 4D). Moreover, the level of lipid peroxidation, and the expression levels of TH, GPX4 and FTH1 were not affected by the apoptosis inhibitor, Z-VAD-FMK, compared with the model group (Fig. S1; P>0.05). These results suggested that 6-OHDA induced some degree of ferroptotic death and ferroptosis was the main cell death mechanism of the 6-OHDA-induced cell models. FTH1 degradation accompanied the process of ferroptosis.
Taken together, the in vivo (Figs. 1 and 2) and in vitro (Fig. 4) results indicated that FTH1 expression was negatively associated with ferroptosis, and that ferroptosis was positively associated with PD pathology.
miR-335 increases ferroptosis and aggravates PD injury in 6-OHDA-stimulated cells
To determine the expression of miR-335 in 6-OHDA-stimulated cells, RT-qPCR was performed in 6-OHDA-stimulated cells. The results revealed that miR-335 was highly expressed in 6-OHDA-stimulated cells (P<0.0001; Fig. 5A). The present study then determined whether miR-335 promotes ferroptosis in PD in vitro. The 6-OHDA-stimulated cells were transfected with miR-335. The inhibition of GPX4 function leads to the Fe2+-dependent formation of toxic lipid ROS, resulting in the induction of ferroptosis (8). Therefore, the expression of GPX4, the level of Fe2+, lipid peroxidation, cellular ROS and MMP were measured as indicators of ferroptosis. Western blot analysis was performed to detect the regulatory effects of miR-335 on GPX4, FTH1 and PD pathology in 6-OHDA-stimulated cells. As shown in Fig. 5B, miR-335 mimic significantly exacerbated PD pathology, and reduced GPX4 and FTH1 expression compared with the model group (TH, P=0.1439; GPX4, P=0.0322; FTH1, P=0.0002). The cellular iron concentration results revealed that Fe2+ increased by 21.1% in the mimic group compared with the model group (P=0.0413, Fig. 5C). In addition, the results of ferrous ion imaging confirmed that miR-335 further led to the accumulation of Fe2+ in 6-OHDA-stimulated cells (Fig. S2). Moreover, compared with the model group, both lipid peroxidation and the ROS level increased significantly in the mimic group (P=0.0312, Fig. 5D; P<0.0001, Fig. 5E). Mitochondrial dysfunction is an important indicator of ferroptosis. Further detection of mitochondrial dysfunction was performed by JC-1 staining. When the MMP was high, JC-1 accumulated in the mitochondria matrix and formed a polymer; when MMP was low, it formed a monomer. As shown in Fig. 5F, MMP was significantly reduced in the mimic group (P=0.0426). These results indicated that miR-335 inhibited the expression of GPX4 and FTH1, thereby increasing the level of Fe2+. The Fe2+-dependent accumulation of lipid ROS led to the mitochondrial dysfunction, which downregulated the level of MMP, resulting in ferroptosis and PD aggravation.
FTH1 silencing increases ferroptosis and further exacerbates PD pathology
To further verify the role of FTH1 in PD pathology and ferroptosis in vitro, RNA interference (RNAi) was performed in 6-OHDA-stimulated cells to silence the expression of FTH1. siRNA-FTH1-1 was the most efficient sequence for silencing (Fig. 6A). Following transfection, the model and siRNA-FTH1 groups were stimulated with 6-OHDA. As shown in Fig. 6B, the TH and GPX4 expression levels were further decreased in the FTH1-siRNA-transfected 6-OHDA-stimulated cells (P<0.0001; P=0.0071 vs. model group). The analysis of the cellular iron concentration revealed that the Fe2+ concentration was increased by si-FTH1 (P<0.0001; Fig. 6C). The ferrous ion imaging results also confirmed that si-FTH1 led to the further accumulation of Fe2+ in the 6-OHDA-stimulated cells (Fig. S3). Moreover, lipid peroxidation and cellular ROS levels were increased by si-FTH1 compared with the model group (P=0.0061, Fig. 6D; P<0.0001, Fig. 6E). JC-1 staining indicated that MMP was decreased by si-FTH1 compared with the model group (P=0.0227, Fig. 6F). These data provide further evidence that FTH1 plays a crucial role in PD pathology and ferroptosis. FTH1 degradation released a large amount of Fe2+, which led to the accumulation of toxic lipid peroxides and ROS to damage the mitochondria. The decline in the MMP level was the manifestation of mitochondrial dysfunction.
Discussion
The present study used 6-OHDA-induced rat and cell models to simulate the pathology of mid-late stage PD, in order to explore the role of miRNA in the Fe2+ regulation of ferroptosis. The major findings were the following: i) In both the rat and cell models of PD, FTH1 expression was negatively associated with ferroptosis, and there was a positive association between ferroptosis and PD pathology; ii) miR-335 expression was increased in the rat model of PD, and targeted the 3′UTR of FTH1 mRNA; iii) the exacerbation of ferroptosis, promoted by miR-335, increased the Fe2+ concentration by inhibiting FTH1 expression in PD. The results also identified a novel role of miR-335 to directly target FTH1, acting as an essential regulator for the ferroptosis signaling pathway in PD.
One of the pivotal results of the present study was that FTH1 expression was negatively associated with the level of ferroptosis in PD. In the present study, GPX4 and TH expression was decreased in the model group compared with the control group. The expression of TH, GPX4 and FTH1 in the 6-OHDA-stimulated cells was not affected by the apoptosis inhibitor, Z-VAD-FMK (Fig. S1A). The level of ferroptosis and PD pathology was increased using siRNA against FTH1, indicating that decreasing FTH1 expression can promote ferroptosis and dopaminergic neuron loss in PD. In a previous study, the authors demonstrated that FTH1 linked ferritinophagy to ferroptosis in a model of 6-OHDA-induced PD (14). The function of FTH1 is mainly to store Fe2+ in eukaryotic cells in a soluble and non-toxic form, thereby preventing ferroptosis (39,40). The results of the present study are in accordance with those of previous studies identifying a protective role for FTH1 in Fe2+ storage and ferroptosis in PD (13,15). Moreover, GPX4 expression was significantly reduced in neurons of the SN in the PD-affected brain (41). Therefore, the present study suggests that FTH1 plays a crucial role in reducing ferroptosis and alleviating dopaminergic neuron damage in PD.
Another important finding of the present study was that miR-335 promoted ferroptosis by inhibiting FTH1 expression in in vitro and in vivo PD models. Previously, it was unclear how miRNA regulates the level of ferroptosis in response to PD. In the present study, the results of RT-qPCR and DLR assay demonstrated that miR-335 specifically targets FTH1. The results of western blot analysis, cellular iron concentration assay, cellular ROS detection and MMP assays revealed that miR-335 aggravated ferroptosis and PD injury by inhibiting FTH1 expression. These results support the finding that miRNAs act as crucial mediators of ferroptosis in PD by regulating protein translation (42-45). The findings of the present study provide new insight into the therapeutic potential of inhibiting miR-335 to increase the expression of FTH1, reduce Fe2+ concentration, and ultimately prevent ferroptosis in PD.
The results have important clinical implications. Firstly, miR-335 could be a potential biomarker in the diagnosis of PD and may represent a novel therapeutic target. However, clinical trials are required to further elucidate and validate this potential. Secondly, there are few therapies available for the treatment of PD using small molecules. The gold standard treatment currently used in patients with PD is orally-administered levodopa (L-dopa). However, L-dopa produces adverse drug reactions including dyskinesias and involuntary movement (46), resulting in increased financial and psychological burden for patients with PD. Molecular therapy currently presents a unique effect on neoplastic diseases, but is not generally used in PD. The results of the present study identified a potential therapy which may be used to protect against PD progression by inhibiting the expression of miR-335.
In conclusion, the present study demonstrates an important mechanism wherein miR-335 promotes ferroptosis in PD by inhibiting FTH1 expression in vitro and in vivo. These results provide a novel therapeutic approach for the treatment of PD, based on the regulation of the miR-335-FTH1-ferroptosis signaling pathway.
Supplementary Data
Acknowledgments
Not applicable.
Funding Statement
The present study was supported by the Traditional Chinese Medicine Bureau of Guangdong Province, China (grant no. 20203010), and the Natural Science Foundation of Guangdong Province (grant no. 2020A151501325).
Availability of data and materials
The data and materials produced during the study can be obtained from the corresponding authors on reasonable request.
Authors' contributions
XLi performed most of the experiments, analyzed data and wrote most of the manuscript. WS designed the animal experiments and contributed to the manuscript. ZL contributed to the manuscript, assisted in the design of in vitro experiments, analyzed data and provided the reagents. YT contributed to the conception of the study and provided the reagents and materials. XLiu, SY, ZH, YJ, CZ and XH assisted with the in vivo experiments. MZ and DC conceived, designed and supervised the study. All authors read and approved the final manuscript.
Ethics approval and consent to participate
All animal experiments were approved by the Experimental Animal Care and Use Committee of Guangzhou University of Traditional Chinese medicine, and conducted in accordance with the guidelines for the care and use of experimental animals of the National Institutes of Health of the United States.
Patient consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
References
- 1.Lei P, Bai T, Sun Y. Mechanisms of ferroptosis and relations with regulated cell death: A review. Front Physiol. 2019;10:139. doi: 10.3389/fphys.2019.00139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Muhoberac BB, Baraibar MA, Vidal R. Iron loading-induced aggregation and reduction of iron incorporation in hetero- polymeric ferritin containing a mutant light chain that causes neurodegeneration. Biochim Biophys Acta. 2011;1812:544–548. doi: 10.1016/j.bbadis.2010.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Yang WS, SriRamaratnam R, Welsch ME, Shimada K, Skouta R, Viswanathan VS, Cheah JH, Clemons PA, Shamji AF, Clish CB, et al. Regulation of ferroptotic cancer cell death by GPX4. Cell. 2014;156:317–331. doi: 10.1016/j.cell.2013.12.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yang WS, Stockwell BR. Ferroptosis: Death by lipid peroxidation. Trends Cell Biol. 2016;26:165–176. doi: 10.1016/j.tcb.2015.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Maiorino M, Conrad M, Ursini F. GPx4, lipid peroxidation, and cell death: Discoveries, rediscoveries, and open issues. Antioxid Redox Signal. 2018;29:61–74. doi: 10.1089/ars.2017.7115. [DOI] [PubMed] [Google Scholar]
- 6.Seibt TM, Proneth B, Conrad M. Role of GPX4 in ferroptosis and its pharmacological implication. Free Radic Biol Med. 2019;133:144–152. doi: 10.1016/j.freeradbiomed.2018.09.014. [DOI] [PubMed] [Google Scholar]
- 7.Forcina GC, Dixon SJ. GPX4 at the crossroads of lipid homeostasis and ferroptosis. Proteomics. 2019;19:e1800311. doi: 10.1002/pmic.201800311. [DOI] [PubMed] [Google Scholar]
- 8.Xie Y, Hou W, Song X, Yu Y, Huang J, Sun X, Kang R, Tang D. Ferroptosis: Process and function. Cell Death Differ. 2016;23:369–379. doi: 10.1038/cdd.2015.158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Knovich MA, Storey JA, Coffman LG, Torti SV, Torti FM. Ferritin for the clinician. Blood Rev. 2009;23:95–104. doi: 10.1016/j.blre.2008.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Liu NQ, De Marchi T, Timmermans AM, Beekhof R, Trapman-Jansen AM, Foekens R, Look MP, van Deurzen CH, Span PN, Sweep FC, et al. Ferritin heavy chain in triple negative breast cancer: A favorable prognostic marker that relates to a cluster of differentiation 8 positive (CD8+) effector T-cell response. Mol Cell Proteomics. 2014;13:1814–1827. doi: 10.1074/mcp.M113.037176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Shpyleva SI, Tryndyak VP, Kovalchuk O, Starlard-Davenport A, Chekhun VF, Beland FA, Pogribny IP. Role of ferritin alterations in human breast cancer cells. Breast Cancer Res Treat. 2011;126:63–71. doi: 10.1007/s10549-010-0849-4. [DOI] [PubMed] [Google Scholar]
- 12.Sammarco MC, Ditch S, Banerjee A, Grabczyk E. Ferritin L and H subunits are differentially regulated on a post-transcriptional level. J Biol Chem. 2008;283:4578–4587. doi: 10.1074/jbc.M703456200. [DOI] [PubMed] [Google Scholar]
- 13.Van Do B, Gouel F, Jonneaux A, Timmerman K, Gelé P, Pétrault M, Bastide M, Laloux C, Moreau C, Bordet R, et al. Ferroptosis, a newly characterized form of cell death in Parkinson's disease that is regulated by PKC. Neurobiol Dis. 2016;94:169–178. doi: 10.1016/j.nbd.2016.05.011. [DOI] [PubMed] [Google Scholar]
- 14.Tian Y, Lu J, Hao X, Li H, Zhang G, Liu X, Li X, Zhao C, Kuang W, Chen D, Zhu M. FTH1 inhibits ferroptosis through ferritinophagy in the 6-OHDA model of Parkinson's disease. Neurotherapeutics. 2020;17:1796–1812. doi: 10.1007/s13311-020-00929-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lu J, Liu X, Tian Y, Li H, Ren Z, Liang S, Zhang G, Zhao C, Li X, Wang T, et al. Moxibustion exerts a neuroprotective effect through antiferroptosis in Parkinson's disease. Evid Based Complement Alternat Med. 2019;2019:2735492. doi: 10.1155/2019/2735492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Moreau C, Duce JA, Rascol O, Devedjian JC, Berg D, Dexter D, Cabantchik ZI, Bush AI, Devos D, FAIRPARK-II study group Iron as a therapeutic target for Parkinson's disease. Mov Disord. 2018;33:568–574. doi: 10.1002/mds.27275. [DOI] [PubMed] [Google Scholar]
- 17.Bonn D. Pumping iron in Parkinson's disease. Lancet. 1996;347:1614. doi: 10.1016/S0140-6736(96)91094-6. [DOI] [PubMed] [Google Scholar]
- 18.Guiney SJ, Adlard PA, Bush AI, Finkelstein DI, Ayton S. Ferroptosis and cell death mechanisms in Parkinson's disease. Neurochem Int. 2017;104:34–48. doi: 10.1016/j.neuint.2017.01.004. [DOI] [PubMed] [Google Scholar]
- 19.Biliński T, Krawiec Z, Liczmański A, Litwińska J. Is hydroxyl radical generated by the fenton reaction in vivo? Biochem Biophys Res Commun. 1985;130:533–539. doi: 10.1016/0006-291X(85)90449-8. [DOI] [PubMed] [Google Scholar]
- 20.Costello DJ, Walsh SL, Harrington HJ, Walsh CH. Concurrent hereditary haemochromatosis and idiopathic Parkinson's disease: A case report series. J Neurol Neurosurg Psychiatry. 2004;75:631–633. doi: 10.1136/jnnp.2003.027441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Miyajima H, Takahashi Y, Kono S. Aceruloplasminemia, an inherited disorder of iron metabolism. Biometals. 2003;16:205–213. doi: 10.1023/A:1020775101654. [DOI] [PubMed] [Google Scholar]
- 22.Borie C, Gasparini F, Verpillat P, Bonnet AM, Agid Y, Hetet G, Brice A, Dürr A, Grandchamp B, French Parkinson's disease genetic study group Association study between iron-related genes polymorphisms and Parkinson's disease. J Neurol. 2002;249:801–804. doi: 10.1007/s00415-002-0704-6. [DOI] [PubMed] [Google Scholar]
- 23.Rhodes SL, Buchanan DD, Ahmed I, Taylor KD, Loriot MA, Sinsheimer JS, Bronstein JM, Elbaz A, Mellick GD, Rotter JI, Ritz B. Pooled analysis of iron-related genes in Parkinson's disease: Association with transferrin. Neurobiol Dis. 2014;62:172–178. doi: 10.1016/j.nbd.2013.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ambros V. The functions of animal microRNAs. Nature. 2004;431:350–355. doi: 10.1038/nature02871. [DOI] [PubMed] [Google Scholar]
- 25.Bartel DP. MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. doi: 10.1016/S0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
- 26.Bartel DP. MicroRNAs: Target recognition and regulatory functions. Cell. 2009;136:215–233. doi: 10.1016/j.cell.2009.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bartel DP. Metazoan MicroRNAs. Cell. 2018;173:20–51. doi: 10.1016/j.cell.2018.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Su Y, Deng MF, Xiong W, Xie AJ, Guo J, Liang ZH, Hu B, Chen JG, Zhu X, Man HY, et al. MicroRNA-26a/death-associated protein kinase 1 signaling induces synucleinopathy and dopaminergic neuron degeneration in Parkinson's disease. Biol Psychiatry. 2019;85:769–781. doi: 10.1016/j.biopsych.2018.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jin L, Wan W, Wang L, Wang C, Xiao J, Zhang F, Zhao J, Wang J, Zhan C, Zhong C. Elevated microRNA-520d-5p in the serum of patients with Parkinson's disease, possibly through regulation of cereloplasmin expression. Neurosci Lett. 2018;687:88–93. doi: 10.1016/j.neulet.2018.09.034. [DOI] [PubMed] [Google Scholar]
- 30.Asci R, Vallefuoco F, Andolfo I, Bruno M, De Falco L, Iolascon A. Trasferrin receptor 2 gene regulation by microRNA 221 in SH-SY5Y cells treated with MPP+ as Parkinson's disease cellular model. Neurosci Res. 2013;77:121–127. doi: 10.1016/j.neures.2013.09.003. [DOI] [PubMed] [Google Scholar]
- 31.Rothblat DS, Schroeder JA, Schneider JS. Tyrosine hydroxylase and dopamine transporter expression in residual dopaminergic neurons: Potential contributors to spontaneous recovery from experimental Parkinsonism. J Neurosci Res. 2001;65:254–266. doi: 10.1002/jnr.1149. [DOI] [PubMed] [Google Scholar]
- 32.Deumens R, Blokland A, Prickaerts J. Modeling Parkinson's disease in rats: An evaluation of 6-OHDA lesions of the nigrostriatal pathway. Exp Neurol. 2002;175:303–317. doi: 10.1006/exnr.2002.7891. [DOI] [PubMed] [Google Scholar]
- 33.Li Z, Lan X, Han R, Wang J, Huang Y, Sun J, Guo W, Chen H. miR-2478 inhibits TGFβ1 expression by targeting the transcriptional activation region downstream of the TGFβ1 promoter in dairy goats. Sci Rep. 2017;7:42627. doi: 10.1038/srep42627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lee SJ, Jeong JH, Kang SH, Kang J, Kim EA, Lee J, Jung JH, Park HY, Chae YS. MicroRNA-137 inhibits cancer progression by targeting Del-1 in triple-negative breast cancer cells. Int J Mol Sci. 2019;20:6162. doi: 10.3390/ijms20246162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.He H, Chen K, Wang F, Zhao L, Wan X, Wang L, Mo Z. miR-204-5p promotes the adipogenic differentiation of human adipose-derived mesenchymal stem cells by modulating DVL3 expression and suppressing Wnt/β-catenin signaling. Int J Mol Med. 2015;35:1587–1595. doi: 10.3892/ijmm.2015.2160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 37.Grayson M. Parkinson's disease. Nature. 2016;538:S1. doi: 10.1038/538S1a. [DOI] [PubMed] [Google Scholar]
- 38.Dixon SJ, Lemberg KM, Lamprecht MR, Skouta R, Zaitsev EM, Gleason CE, Patel DN, Bauer AJ, Cantley AM, Yang WS, et al. Ferroptosis: An iron-dependent form of nonapoptotic cell death. Cell. 2012;149:1060–1072. doi: 10.1016/j.cell.2012.03.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Jiang H, Wang J, Rogers J, Xie J. Brain iron metabolism dysfunction in Parkinson's disease. Mol Neurobiol. 2017;54:3078–3101. doi: 10.1007/s12035-016-9879-1. [DOI] [PubMed] [Google Scholar]
- 40.Powers KM, Smith-Weller T, Franklin GM, Longstreth WT, Jr, Swanson PD, Checkoway H. Dietary fats, cholesterol and iron as risk factors for Parkinson's disease. Parkinsonism Relat Disord. 2009;15:47–52. doi: 10.1016/j.parkreldis.2008.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bellinger FP, Raman AV, Rueli RH, Bellinger MT, Dewing AS, Seale LA, Andres MA, Uyehara-Lock JH, White LR, Ross GW, Berry MJ. Changes in selenoprotein P in substantia nigra and putamen in Parkinson's disease. J Parkinsons Dis. 2012;2:115–126. doi: 10.3233/JPD-2012-11052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Angelopoulou E, Paudel YN, Piperi C. miR-124 and Parkinson's disease: A biomarker with therapeutic potential. Pharmacol Res. 2019;150:104515. doi: 10.1016/j.phrs.2019.104515. [DOI] [PubMed] [Google Scholar]
- 43.De Gregorio R Pulcrano S, De Sanctis C, Volpicelli F, Guatteo E, von Oerthel L, Latagliata EC, Esposito R, Piscitelli RM, Perrone-Capano C. et al. miR-34b/c regulates wnt1 and enhances mesencephalic dopaminergic neuron differentiation. Stem Cell Rep. 2018;10:1237–1250. doi: 10.1016/j.stemcr.2018.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Luo M, Wu L, Zhang K, Wang H, Zhang T, Gutierrez L, O'Connell D, Zhang P, Li Y, Gao T, et al. miR-137 regulates ferroptosis by targeting glutamine transporter SLC1A5 in melanoma. Cell Death Differ. 2018;25:1457–1472. doi: 10.1038/s41418-017-0053-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sangokoya C, Doss JF, Chi JT. Iron-responsive miR-485-3p regulates cellular iron homeostasis by targeting ferroportin. PLoS Genet. 2013;9:e1003408. doi: 10.1371/journal.pgen.1003408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Poewe W, Bergmann L, Kukreja P, Robieson WZ, Antonini A. Levodopa-carbidopa intestinal gel monotherapy: GLORIA registry demographics, efficacy, and safety. J Parkinsons Dis. 2019;9:531–541. doi: 10.3233/JPD-191605. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data and materials produced during the study can be obtained from the corresponding authors on reasonable request.