Abstract
Iron overload is associated with various pathological changes which contribute to metabolic syndrome, many of which have been proposed to occur via damaging tissue through an excessive amount of reactive oxygen species (ROS) production. In this study, we established a model of iron overload in L6 skeletal muscle cells and observed that iron enhanced cytochrome c release from depolarized mitochondria, assayed by immunofluorescent colocalization of cytochrome c with Tom20 and the use of JC-1, respectively. This subsequently elevated apoptosis, determined via use of a caspase-3/7 activatable fluorescent probe and western blotting for cleaved caspase-3. Using CellROX deep red and mBBr, we observed that iron increased generation of reactive oxygen species (ROS), and that pretreatment with the superoxide dismutase mimetic MnTBAP reduced ROS production and attenuated iron-induced intrinsic apoptosis and cell death. Furthermore, using MitoSox Red we observed that iron enhanced mROS and the mitochondria-targeted anti-oxidant SKQ1 reduced iron-induced ROS generation and cell death. Western blotting for LC3-II and P62 levels as well as immunofluorescent detection of autophagy flux with LC3B and P62 co-localization indicated that iron acutely (2–8 h) activated and later (12–24 h) attenuated autophagic flux. We used autophagy-deficient cell models generated by overexpressing a dominant-negative Atg5 mutant or CRISPR-mediated ATG7 knock out to test the functional significance of autophagy and observed that autophagy-deficiency exacerbated iron-induced ROS production and apoptosis. In conclusion, our study showed that high iron levels promoted ROS production, blunted the self-protective autophagy response and led to cell death in L6 skeletal muscle cells.
Similar content being viewed by others
Introduction
An often-overlooked feature of the metabolic syndrome is the common occurrence of iron overload, particularly upon aging [1]. Indeed, the term dysmetabolic iron overload syndrome (DIOS) has been coined to describe the association of increased iron levels, characterized by hyperferritinemia with normal or moderately increased transferrin saturation, with various components of metabolic syndrome observed [1]. Excess amounts of iron can impact glucose homeostasis at multiple levels [2]. Whilst the effects of iron on multiple tissues converge to dictate the physiological outcomes, at the core of metabolic dysfunction is the skeletal muscle. Indeed, even in the absence of systemic iron accumulation, muscle iron content increased with aging [3]. Importantly, prolonged iron overload has been shown to attenuate autophagy and induce insulin resistance in skeletal muscle [4]. The effects of excess iron on sarcopenia are remarkably less clear, yet could be of great significance given our growing appreciation of muscle loss in elderly patients with metabolic syndrome [5,6,7]. Both excess and lack of iron have been associated with sarcopenia, indicating a pivotal role for optimal iron homeostasis in avoiding this deleterious outcome [8, 9].
Whether excess iron levels elicit skeletal muscle damage or atrophy, and how it occurs, requires further investigation. Iron excess in mice led to skeletal muscle atrophy which was reduced by an oxidative stress inhibitor [10]. It was also shown that increased muscle iron levels occurred upon atrophy due to disuse in the aged muscle [11]. Another study indicated that iron played an important role in increasing oxidative stress in muscle atrophied by immobilization, an effect mitigated by iron chelation [12].
A principal cellular mechanism via which excess iron leads to many deleterious effects is the induction of oxidative stress [13]. This can occur via routes such as Fenton chemistry or by promoting excess production from mitochondrial electron transport chain [13, 14]. Accordingly, the use of antioxidants can attenuate the adverse effects of iron excess in various cells and tissues [15]. More recently, the regulation of autophagy flux by iron has been demonstrated in various cells and tissues, although the effects appear to be cell-type specific and highly dependent on the time of iron exposure [4, 16, 17].
In this study we used a cellular model of iron overload (IO) in L6 skeletal muscle cells and determined the consequences of high iron levels on cell death. Mechanistic analysis focused on the role of ROS production, in particular from mitochondria, as well as the significance of autophagy in IO-induced oxidative stress and cell death.
Materials and methods
Reagents
The cell culture medium Alpha modification of Eagle’s Medium (AMEM), fetal bovine serum (FBS), and antibiotics/antimycotic solution were purchased from Wisent (St Bruno, QC, Canada). FeCl3 (Cat#451649), MnTBAP (Mn (III) tetrakis (4-benzoic acid) porphyrin, Cat#475870), Chloroquine diphosphate salt (Cat#C6628) and Rapamycin (Cat#R8781) were purchased from Sigma‐Aldrich (Ottawa, ON, Canada). Caspase 3 (Cat#9662), LC3B (Cat#2775), GAPDH (Cat#2118) and horseradish peroxidase‐conjugated secondary antibodies (anti‐rabbit‐IgG, Cat# #7074) were purchased from Cell Signaling Technology (Beverly, MA, USA). CellROX Deep Red Reagent (Cat#C10422), CellEvent Caspase 3/7 Green Detection Reagent (Cat#C10423), Alexa 488‐conjugated antibody (goat anti‐rabbit, Cat#A‐11008), Alexa 555‐conjugated antibody (goat anti‐rabbit, Cat#A‐21428) and ProLong Gold (Cat#P36930) were purchased from Thermo Fisher Scientific (Burlington, ON, Canada). Anti‐LC3B (Cat#PM036) and Anti‐p62 (Cat# M162‐3) were purchased from MBL. TOM20 (Cat#sc-17764) was purchased from Santa Cruz Biotechnology, Inc. SkQ1 (Visomitin) [10-(6′-plastoquinonul) decyltriphenylphosphonium] was obtained from Med Chem Express. VECTASHIELD Antifade Mounting Medium with DAPI (Cat# H‐1200) was purchased from Vector Laboratories. Polyvinylidene difluoride membrane was obtained from Bio‐Rad Laboratories, Inc (Burlington, ON, Canada) and chemiluminescence reagent plus was purchased from PerkinElmer (Boston, MA). All other reagents and chemicals used were of the highest purity available.
Cell culture
L6 skeletal muscle cells were maintained in Alpha modification of Eagle’s Medium (AMEM) from Wisent Bioproduct supplemented with 10% fetal bovine serum (FBS) from Gibco and 1% Antibiotic-antimycotic (vol/vol) from Gibco. Cells were maintained at 37 °C with 5% CO2 in a 75 cm2 flask. During cell growth, when cells reached 80% confluence, they were trypsinized and seeded for experiments. According to treatment conditions specified in the results, cells were treated with 0.5% FBS AMEM and FeCl3 250 µM and MnTBAP 100 µM. Lentivirus was used to engineer cells overexpressing eGFP‐mCherry‐LC3B L6 and a stable polyclonal population was obtained through puromycin (1 μg/ml) selection for stable integration. Autophagy-deficient L6 cell stably overexpressing dominant negative Atg5 with lysine(K) mutated to arginine(R) at position 130 was generated as described before [18]. CRISPR knock-out of Atg7 was generated as previously described using guide RNAs cloned into pX459 [19]. Vectors carrying guides targeting Atg7 were transfected into L6 cells using Lipofectamine 3000. Transduced cells were selected using 1 μg/ml puromycin over 5 days, and then expanded in media without selection. T7 endonuclease assays were carried out using T7 endonuclease I (NEB) according to the manufacturer’s recommendations on PCR products generated using the following primer pair 5′-GCTGCTGCAGGTAGGTGTAA and 5′- GGTGTCCTGTCTGAGACTGC. Human Skeletal muscle cells were a kind gift from Dr Romel Somwar, Memorial Solan Kettering Cancer Center, New York City, USA. Human skeletal muscle myoblasts obtained from Lonza Bioscience (Hayward, CA) were immortalized by serial transduction with lentiviruses harboring CDK4 (blasticidin) and TERT (hygromycin) cDNAs. Cells stably expressing each construct were selected with the appropriate antibiotics (15 µg/mL blasticidin or 250 µg/mL hygromycin).
Determination of intracellular iron
Intracellular iron concentration was first estimated by Phen green SK (PGSK) diacetate dye [20] as well as by the endoperoxide reactivity-based FRET probe FIP-1 for ratiometric fluorescence imaging of labile intracellular iron [21]. FIP-1 links two fluorophores (fluorescein and Cy3) through an Fe (II)-cleavable endoperoxide bridge, where Fe (II)-triggered peroxide cleavage leads to a decrease in fluorescence resonance energy transfer (FRET) from the fluorescein donor to Cy3 acceptor. FIP-1 responds to Fe (II) in aqueous buffer with selectivity over competing metal ions and is capable of detecting changes in labile iron pools within living cells. This was provided via a kind gift from Dr Christopher J. Chang, University of California, Berkeley.
Western blot analysis
After treatment, L6 cells were washed in phosphate buffered saline (PBS). 200 μL of lysis buffer [0.5 M tris-hydrochloride (Tris-HCL) pH 6.8, 2% (vol/vol) sodium dodecyl sulphate (SDS), 15% (vol/vol) glycerol, 10% (vol/vol) 2-mercaptoethanol, and protease inhibitor cocktail] was added to each well and cells were scraped off. The lysates were then incubated at 90 °C for 10 min. Approximately 20 μg of protein was loaded to each well. Samples were analyzed by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidine fluoride (PVDF) membrane. The membranes were blocked in 3% BSA for 1 h and were left in primary antibodies overnight. Western blot analysis was performed using specific primary antibodies to Caspase 3 (Cat#9662), LC3B (Cat#2775) and GAPDH (Cat#2118) (1:1000, Cell Signaling). HRP-linked secondary anti-rabbit (Cat# #7074, 1:5000, Cell Signaling, MA) was used as secondary antibody and proteins were detected by enhanced chemiluminescence reagent (BioRad). The membranes for caspase-3 were stripped each time and re-probed with antibodies against GAPDH (1:1000, Cell Signaling, MA) as loading controls. Band intensity was quantified using ImageJ software.
Detection of mitochondrial cytochrome c release
L6 cells were grown on glass coverslips in 24-well plate. They were allowed to reached 70% confluency and treated with 0.5% FBS media, containing FeCl3 250 µM with or without the co-treatment of MnTBAP 100 µM for 24 h. At the treatment end point, the coverslips were washed briefly with PBS + + (PBS with added Mg2+ and Ca2+) and fixed with 10% formalin solution for 30 min. Following 3 more washes, the cells were permeabilized using PBS + + containing 0.5% Triton-X detergent for 30 min and blocked with PBS + + containing 3% BSA for 1 h. Afterwards, the cells were incubated in 3% BSA in PBS + + solution containing rabbit-derived anti-TOM20 (Santa Cruz, for mitochondria detection) and mouse-derived anti-cytochrome c (Santa Cruz) at 1:250 dilution overnight at 4 °C. Cells were then washed 3 times with PBS + + containing 0.5% Tween-20 and incubated in 3% BSA in PBS + + solution containing anti-rabbit IgG Alexa Fluor 555 and anti-mouse IgG Alexa Fluor 488 at 1:800 dilution for 1 h at room temperature. Afterwards, cells were washed 3 times with PBS + + containing 0.5% Tween-20. Coverslips were mounted onto slides in mounting medium containing a 1:1 mixture of VECTASHIELD Mounting medium with DAPI (Vectorlab) and ProLong Gold Antifade Mountant (Thermo Fisher) and imaged using the Nikon A1 Confocal Microscope.
Immunofluorescence and confocal microscopy
LC3B immunofluorescence was performed as described previously [22]. Briefly, cells were fixed, permeabilized, and blocked with PBS solution containing 1% BSA and 2% goat serum. After blocking, cells were incubated with blocking solution containing LC3B (Cat#PM036, MBL, 1:250). Cells were incubated with anti‐mouse Alexa Fluor 488 secondary antibody (Cat#ab25630, Thermo Fisher Scientific, 1:800) at room temperature for 1 h. After incubation, cells were mounted with DAPI after washes. Deconvoluted images were captured with Nikon A1 confocal microscope. For live cell imaging, L6 cells stably expressing eGFP‐mCherry‐LC3B were seeded into ibidi chambers and treated with FeCl3 250 μM. Images of the whole field were captured in 2D as well as in 3D ( > 100 z- stacks). Images and video acquisitions were performed using a Nikon A1R confocal laser scanning microscope system (Nikon Corp., Tokyo, Japan). Video acquisition at a speed of 30 frames per second was performed for the indicated times, followed by time-lapse imaging every 1 h up to 24 h after iron treatment.
Detection of ROS using CellROX® Deep Red
For live detection of ROS production, L6 cells were seeded at 70% confluency on a µ-slide 4-well chambered polymer coverslip (Ibidi), and pre-stained 15 min prior to imaging with Hoechst nuclear dye (concentration) (x). The growth medium was then replaced with 0.5% FBS AMEM. At the start of imaging, CellROX® Deep Red at 2.5 µM was added, alongside FeCl3 250 µM in appropriate wells. Imaging was performed at 20x objective (Nikon A1 confocal microscope) and 30 min intervals up to 4 h in a 5% CO2 live-cell chamber.
Caspase 3/7 detection by imaging
CellEvent Caspase 3/7 Detection Reagent is a four-amino acid peptide (DEVD) bound to a nucleic acid-binding dye that is non-fluorescent until cleaved from the peptide (by activated Caspases 3 and 7) and bound to DNA. For detection of apoptotic signal activation, L6 cells were plated at 70% confluency and treated with FeCl3 250 µM (with or without co-treatment with the antioxidant, MnTBAP, at 100 µM for 24 h. At treatment endpoint, Caspase 3/7 Detection Reagent was added to a final concentration of 10 µM and Hoechst to a final concentration of 1 µg/mL, and allowed to incubate for 30 min at 37 °C in the dark. Afterwards, the images were obtained and analyzed to characterize cells with activated Caspase 3/7 pathways through the CellInsight CX7 High Content Signalling platform and Nikon A1 confocal microscope.
Live/dead and caspase-3 staining by flow cytometry
L6 cells were plated on 6-well plates and cultured to reach 80% confluency. Cells were then treated with 0.5% FBS media, FeCl3 250 µM, or H2O2 500 µM with or without co-treatment with MnTBAP 100 µM. At the treatment endpoints, cells were trypsinized, centrifuged and washed 3 times with PBS at 4 °C. Cells were stained in LIVE/DEAD™ Fixable Aqua Dead Cell Stain (1:800; Thermo Fisher) diluted in FACS buffer (DPBS + 2% FBS) for 15 min at 4 °C and washed twice. Cells were then fixed in IC fixation (eBioscience) buffer at RT for 30 min and permeabilized with 100% ice cold methanol at 4 °C for at least 20 min. Caspase-3 antibody (1:50; clone D3E9; Cell Signaling) diluted in FACS buffer was used to stain the cells for 1 hr at RT in 96 well plates (protected from light). Stained cells were then washed twice with FACS buffer and analysed in Attune NxT flow-cytometer (Thermo Fisher).
Mitosox Red, mBBr and JC-1 assays by flow cytometry
L6 cells were plated on 6-well plates and cultured to reach 80% confluency. Cells were then treated with 0.5% FBS media, FeCl3 250 µM, or H2O2 500 µM with or without co-treatment with MnTBAP 100 µM. At the treatment endpoints, cells were trypsinized, centrifuged and washed 3 times with PBS at 4 °C. For oxidative stress stain, cells were stained with 2.5 µM MitoSox Red (Thermo Fisher) and 40 µM mBBr (Thermo Fisher) diluted in FACS buffer for 10 min at 37 °C. For mitochondrial membrane potential stain, cells were stained with 5 µM JC-1 (Thermo Fisher) diluted in FACS buffer for 10 min at 37 °C. Cells were then washed once with FACS buffer and resuspended in FACS buffer and analysed by flow cytometry.
Annexin V-FITC assay by flow cytometry
L6 cells were plated on 6-well plates and cultured to reach 80% confluency. Cells were then treated with 0.5% FBS media, FeCl3 250 µM, or H2O2 500 µM with or without co-treatment with MnTBAP 100 µM. At the treatment endpoints, cells were trypsinized, centrifuged and washed 3 times with PBS at 4 °C. Cells were stained in 1:40 dilution of Annexin V (eBioscience) diluted in 1x binding buffer for 10 min at room temperature. Cells were then washed once in binding buffer and resuspended in 190 μl binding buffer. Finally, 10 μl of PI (1.5 µM) was added to the cells and analysed immediately by flow cytometry.
LC3B-eGFP-mCherry assay by confocal and flow cytometry
LC3B-eGFP-mCherry L6 cells were plated on 6-well plates and cultured to reach 60% confluency for confocal and 80% confluency for flow cytometry. Cells were then treated with 0.5% FBS media, FeCl3 250 µM or CQ 30 µM or Rapamycin 500 nM. At the treatment endpoints, cells were trypsinized, centrifuged and washed with either PBS containing 0.05% saponin or with PBS alone. Cells were then either imaged by a 20x objective (Nikon A1 confocal microscope) at 1 h intervals up to 24 h in a 5% CO2 live-cell chamber or analyzed by flow cytometry (Attune NxT) to assess eGFP fluorescence.
Lactate dehydrogenase (LDH) assay
LDH assay (#786-210, G-Biosciences) was used to determine cellular cytotoxicity of human skeletal muscle and L6 cells with the treatments indicated in the experiment. LDH is a stable enzyme which is rapidly released into the culture medium upon damage of the plasma membrane. LDH released from the cell oxidizes lactate to generate NADH, which then reacts with water soluble tetrazolium salt (WST) to generate a yellow color. The intensity of the generated colour correlates directly with the number of lysed cells. After the treatment of FeCl3 as indicated in both cells, 25 µL of culture media was added to new 96-well plate followed by the addition of 25 µL of reaction mix from the LDH kit. The reaction mix was made accordingly to kit instructions. The plate was incubated for 20 min at 37 °C, 5% CO2 and covered with aluminium foil. Then, the cells were measured by a colorimetric assay at wavelengths 490 nm and 680 nm. The values were calculated by subtraction of 680 nm from 490 nm values and normalization by the control in order to reach the final cellular cytotoxicity measurement.
Assay using ReadyProbe™ cell viability
ReadyProbes assay (#R37609, Invitrogen) was used to determine cell viability of human skeletal muscle cells with treatments indicated in experiments. The ReadyProbe contains the NucBlue® Live reagent, which stains nuclei of all cells. Also, it contains the NucGreen® Dead reagent, which stains only the nuclei of dead cells that have compromised plasma membranes. After adding 1 drop of each reagent for each 1 mL of culture media, the plate was covered with aluminium foil and incubated for 30 min at 37 °C, 5% CO2. After incubation, cells were detected with a standard DAPI (blue) and GFP (green) filters using EVOS microscopy. The data were analyzed using ImageJ software, then the % of dead cells calculated by the ratio between number of dead cells to the total number of cells.
Statistical analysis
All data are presented as mean ± SEM. Statistical analysis was performed using Student’s t-test when comparing 2 groups. To compare experiments with more than 2 groups, one-way ANOVA followed by Dunnett’s post-test was performed. The differences among groups were considered statistically significant when p < 0.05 and are indicated by symbols as described in figure legends.
Results
Intracellular iron accumulation and cell death in skeletal muscle cells
To monitor cellular iron uptake, both an iron responsive fluorophore and a ratiometric probe were used to assess the intracellular content of labile iron. L6 cells were pretreated with the fluorophore Phen Green SK (PGSK), which is quenched by iron, 30 min before iron treatment followed by real-time kinetic analysis of fluorescence every 5 min for 1 h. The change in fluorescent signal intensity was compared to controls cultured for the same time period without iron treatment and a clear quenching of the fluorescence was visible in cells treated with iron (Fig. 1A, B). In addition, the FRET probe (FIP1) was used to confirm the iron excess in L6 cells treated with 250 μM FeCl3 for 24 hr (Fig. 1C, D). The mean fluorescent intensity (MFI) ratio of fluorescein (green) over FRET (yellow) increased significantly with iron treatment. Thus, collectively both assays showed a time-dependent increase in intracellular iron accumulation. The iron responsive fluorophore probe Phen Green SK (PGSK) was also added to human skeletal muscle cells, and time lapse analysis up to 6 hr of iron treatment (Supplementary Fig. 1A, B) showed a time-dependent increase in intracellular iron accumulation. To examine whether iron overload causes apoptosis, cells were treated with up to FeCl3 250 µM for up to 24 h and activation of caspase3/7 activity was detected first by using an indicator which becomes fluorescent upon cleavage by active caspase-3/7. Our data demonstrated dose- and time-dependent activation of caspase-3/7 by iron with a significant increase observed after 24 h with 250 µM FeCl3 (Fig. 1E, F). Additionally, a significant time-dependent increase of cleaved caspase-3 detected by western blot was observed upon iron treatment (Fig. 1G, H). To examine whether iron overload causes apoptosis in human skeletal muscle cells, we used LDH release detection assay (Supplementary Fig. 1F) and apoptotic cells with compromised plasma membrane detected by image-it DEAD kit (Supplementary Fig. 2G, H) for measuring cell death. The data indicated that there was a significant increase in cell death after 24 h of iron treatment.
Iron induced ROS production in skeletal muscle cells
We next investigated the effect of iron on intracellular reactive oxygen species (ROS) production. This was first performed using the ROS indicator dye CellROX® red. Representative images from temporal study using live cell imaging are shown in Fig. 2A and quantitative analysis (Fig. 2B) clearly indicated that ROS production reached a maximum within 4 hr and plateaued thereafter. Further quantitative analysis using the same assay indicated a significant increase 4 h after iron treatment and that it could be significantly attenuated by MnTBAP, a superoxide dismutate (SOD) minetic (Fig. 2C). We then further investigated ROS generation using Mitosox Red and mBBR via flow cytometry (Fig. 2D–H). We show that iron significantly increased the number of highly oxidized cells (Fig. 2D, E) and moderately oxidized cells (Fig. 2D, G), while decreasing the number of cells in a reduced state (Fig. 2D, F). Overall mitochondrial ROS (mROS) was similarly increased following iron treatments (Fig. 2H). These effects were abolished by the use of MnTBAP or SKQ1, the latter a mitochondria targeted antioxidant. We also investigated the effect of iron on intracellular ROS production in human skeletal muscle cells using CellRox and on cellular glutathione status by detecting mBBR via flow cytometry (Supplementary Fig. 1C–E) and observed similar alterations as were seen in L6 cells. We show that iron significantly decreased glutathione (GSH) level in human skeletal cells (Supplementary Fig. 1E). Importantly, using JC-1 probe we observed that iron triggered mitochondrial depolarization (Fig. 2I), as evident by the significant increase in cells with unhealthy or depolarized mitochondria (Fig. 2J) and decrease in cells with healthy or polarized mitochondria (Fig. 2K) following iron treatments. SKQ1 significantly but partially reversed iron induced mitochondrial depolarization, suggesting additional mechanisms through which iron disrupts mitochondrial membrane potential.
Inhibition of iron-induced ROS production attenuates cell death
To further investigate the mechanism through which iron overload may induce cell death, we employed the Annexin V/PI assay using flow cytometry. In early apoptosis, phosphatidylserine (PS) is externalized to the outer membrane of the phospholipid bilayer, which can be measured by Annexin V staining. 24 h following incubation with iron, a significant increase in apoptotic cells was observed as shown by FITC-annexin V binding (Fig. 3A, C). Cells were counterstained with propidium iodide (PI) to distinguish between apoptotic and necrotic cells. Our results indicate an increase in both apoptotic (Fig. 3A; Q2 & Q3) and necrotic (Fig. 3A; Q1) cell death. As expected, pretreatment of L6 cells with MnTBAP attenuated the overall increase in Annexin V/PI staining upon iron treatment and protected the cells from iron induced cell death (Fig. 3A–C).
To further investigate the activation of intrinsic apoptosis, a cytochrome C/Tom20 co-localization assay was performed. This assay is designed to determine whether cytochrome C has been released out of mitochondria to the cytoplasm to further activate the cascade reaction of apoptosis. Representative merged images of the two different conditions showed that in control, cytochrome C primarily resided inside mitochondria (represented by yellow puncta (Fig. 3D)). There was a significant decrease in cytochrome C and Tom20 colocalization upon iron treatment. Multiple datasets were then quantified and colocalization was represented as a Pearson’s coefficient ratio (Fig. 3E) which showed the significant cytochrome C release by iron and significant attenuation by MnTBAP. A significant increase in caspase-3 activity was detected after 24 h of treatment with iron by using fluorescent confocal imaging of the caspase-3/7 activatable probe (Fig. 3F, G) and western blotting (Fig. 3H, I). Both sets of data verified inhibition of this process by MnTBAP. Similarly, flow cytometric measurements showed that iron induced an increase in active casapase-3, which was abrogated following the addition of MnTBAP (Fig. 3J, K).
Iron inhibited autophagy in L6 skeletal muscle cells
We next examined the potential mechanistic role of cellular autophagy in determining the effects of iron overload. We first confirmed via temporal analysis using immunostaining for endogenous LC3 puncta (Fig. 4A, B) and western blotting of LC3-II (Fig. 4C, D) that short term iron treatment (4 h, 8 h) increased the number of autophagosome puncta and LC3-II levels. However, at 24 h these changes were accompanied by P62 accumulation (Fig. 4C, E) indicating a shift to inhibition of autophagic flux. To further analyze autophagy flux, we used L6 cells stably expressing fluorescent eGFP-mCherry-LC3B and conducted live time-lapse imaging every 1 hr up to 24 h after iron treatment. In this assay eGFP fluorescence is quenched by low pH after autophagosome fusion with the lysosome, whereas mCherry signal is retained [23]. Using this approach we again observed increased autophagosome content at 4 and 8 h and a significantly increased size and number of eGFP fluorescence puncta after 12–24 h iron treatment (Fig. 4F, G), the latter increased autophagosome to autophagolysosome ratio indicating inhibition of flux. To lend further weight to this conclusion we also used the quantitative power of flow cytometry, which has recently been used to measure autophagy [24]. Saponin-based extraction of eGFP-LC3-I allows the quantification of intracellular eGFP-LC3-II levels, hence this assay can quantify the decrease in green fluorescence as an index of degradation of eGFP-LC3 following its association with autophagosomes. First, we validated this assay by comparing total GFP fluorescence in wildtype L6 (WT L6) and eGFP-mCherry-LC3B L6 cells by flow cytometry (Supplementary Fig. 2A). We specifically measured GFP fluorescence from the autophagosome associated LC3I by selectively extracting the non-autophagosome associated LC3I with 0.05% saponin by flow cytometry (Supplementary Fig. 2B) and confocal microscopy (Supplementary Fig. 2C). Rapamycin and chloroquine (CQ) were used as controls to confirm the specificity of the assay (Supplementary Fig. 2D, E). We next employed this assay to quantify autophagy following iron treatment of eGFP-mCherry-LC3B L6 cells. Remarkably, we showed that autophagosome associated LC3 fluorescence peaked at 24 h following iron treatment (Fig. 4H). We then analyzed the effect of 24 h iron and CQ treatment on autophagosome production and fusion with lysosomes by confocal imaging in L6 cells stably expressing LC3B-eGFP-mCherry. At 24 h after iron and CQ treatment, an increased Pearson correlation coefficient was observed (Fig. 4I, J), indicating a lack of autophagy flux despite the presence of a large pool of autophagosomes. The potency of iron induced autophagosome accumulation was comparable to the effect of chloroquine treatment (Fig. 4K). Thus, results consistently obtained by western blot, confocal microscopy and flow cytometry showed an initial activation (2–8 h) of autophagy and later (12–24 h) reduction in flux upon iron treatment.
Enhanced iron induced ROS in autophagy deficient cells
To test the functional significance of autophagy, we generated two cellular models of autophagy deficiency. Firstly, a stable cell line with autophagy deficiency induced by overexpression of a dominant-negative Atg5 mutant Atg5K130R was used. Temporal analysis of total cellular ROS production detected using CellROX red by confocal microscope indicated a faster and greater increase in autophagy deficient versus control cells transfected with empty vector (Fig. 5A, B). A similar observation was made upon analysis of mBBr staining by flow cytometry (Fig. 5C–E). To verify the phenomenon of enhanced ROS generation in response to iron in an autophagy deficient setting, we then used CRISPR/Cas9 technology to generate Atg7 knock out cells. Iron significantly increased intracellular ROS production (Fig. 5F, G), reduced GSH level (Fig. 5H, I) and enhanced mROS production (Fig. 5H, I) in WT and ATG7KO cells.
Autophagy deficiency exacerbates iron-induced apoptosis
To further investigate iron induced apoptosis occurring downstream of increased ROS production in an autophagy deficient setting, we first performed a similar set of apoptosis analysis as previously described, including cytochrome C/Tom20 immunofluorescence colocalization assay and flow cytometry using caspase-3/7 activatable probe and live/dead staining in empty vector and ATG5K130R cells. In both empty vector and ATG5K130R cells, a significant decrease in cytochrome C and Tom20 colocalization with iron treatment was observed (Fig. 6A, B). The fold increase between control and iron-treated groups was greater in ATG5K130R cells. There was a significant increase in the magnitude of iron-induced caspase-3 activation and dead cells detected by flow cytometry in ATG5K130R cells (Fig. 6C, D). Similarly, live/dead assay data also showed that iron induced cell death was exaggerated in Atg7 knockout cells versus normal cells (Fig. 6E). Thus, data from both cellular models of autophagy-deficiency indicated the ability of autophagy to significantly reduce iron-induced apoptosis.
Discussion
In this study we tested the impact of excess intracellular iron levels on ROS production and cell death in skeletal muscle cells of both rat and human origin. Furthermore, we focused on the mechanistic role of autophagy in determining the extent of cell death in response to iron. We have previously shown that treating L6 cells with media containing FeSO4 led to accumulation of intracellular iron and here we used both the fluorescent heavy metal indicator PGSK as well as the endoperoxide reactivity-based FRET probe FIP-1 [21] with ratiometric fluorescence imaging to confirm time-dependent significant increase in labile iron when cells were treated with FeCl3. At the same time, we assessed apoptosis using a caspase-3 activatable fluorescent probe as well as caspase-3 western blotting and observed a time- and dose-dependent increase in response to iron. Characterization of this cellular model then allowed us to investigate mechanisms of iron-induced cell death in skeletal muscle cells.
First, we focused on the role of oxidative stress since it is well established that iron can induce ROS generation via several routes [13]. Since iron can easily switch between the Fe2+ and Fe3+ forms, providing or accepting electrons, respectively, it is a major player in generation of reactive oxygen species. Mechanisms have evolved to counteract the harmful effects of excess iron, including binding by transferrin or ferritin [25], however when these systems become overloaded and labile iron exists then toxicity can ensue. Labile iron has been shown to elevate ROS levels via Fenton chemistry and cellular sources such as xanthine oxidase, NADPH oxidase and mitochondria. Here, we focused on the latter and found that in the model used, mitochondria were an important source of ROS in response to iron. Mitochondrial respiration and intracellular iron, and in particular intramitochondrial iron, have an intimate association since optimal iron balance is critical for efficient metabolism [26]. During respiration a small amount of O2 undergoes partial reduction in the electron transport chain process and this can lead to formation of potentially harmful intermediates, collectively called reactive oxygen species (ROS). These include hydrogen peroxide (H2O2), superoxide anion (O2•−) and hydroxyl radicals (HO•) [13]. We used both a generic antioxidant MnTBAP as well as the mitochondrial-targeted antioxidant SKQ1 to show that mitochondria were an important source of ROS, measured using CellRox and Mitosox, in response to iron. SKQ1 has shown beneficial effects in many disease states [27,28,29] and our data suggests that some cases of iron overload induced cellular damage can also benefit from use of this agent.
Previous literature provides a strong rationale for us to hypothesize that an iron to ROS to cell death axis exists in this cellular model. Increased cell death in response to elevated intracellular ROS levels has been shown in a wide variety of cell types and tissues over many years [30]. Indeed, various studies have shown that iron induced ROS leads to cell death [11, 31,32,33]. The importance of optimal iron levels should be emphasized as too little iron can often elicit similar outcomes [34]. In this study, having proven that MnTBAP and SKQ1 could attenuate iron-induced ROS production and mitochondrial membrane depolarization, we next showed that iron-induced cell death was also attenuated by antioxidant pretreatment. This was established using immunofluorescence to detect cytochrome c release from mitochondria, caspase-3/7 activation by fluorescent microscopy, flow cytometry and western blotting as well as annexin-V/PI analysis using flow cytometry. The results led us to the conclusion that iron-induced ROS production is an important mechanistic step leading to apoptotic cell death.
A main focus of this study was to investigate the regulation of autophagy by iron and its interaction with the iron-ROS-cell death axis [35]. Previously, we showed that in L6 skeletal muscle cells excess levels of FeSO4 induced a transient increase in autophagy, followed by a later inhibition of autophagic flux [4]. Here we used fluorescent and immunofluorescent detection of LC3 and P62 colocalization as well as western blotting for both proteins and made a similar conclusion. Other studies have shown similar observations with enhanced autophagy detected initially in response to iron in osteoblast cells [11] and that prolonged iron will suppress autophagy flux in neuroblastoma cells [36], mouse testes [37] and rat hippocampus [17]. It is likely that the cell boosts autophagy in response to iron as a protective compensatory mechanism [38]. However, in keeping with previous studies [4, 17] we found that iron overload overcomes this and is shown to turn down autophagy flux after 24 h, likely via inhibition of autophagosome lysosome reformation (ALR) [4]. This is likely to contribute to the outcome of increased apoptotic cell death since others have shown that autophagy is an important cellular protection mechanism against cell death in response to oxidative and other stresses. For example, epigallocatechin-3-gallate reduced liver damage induced by high fat diet and oxidative stress via increasing autophagy and decreasing apoptosis [39] and inhibition of autophagy in breast cancer cells leads to enhanced proscillardin A-induced apoptosis [40]. Indeed, an important conclusion from this study was that iron had exaggerated effects on ROS production and cell death in autophagy deficient cells generated either by overexpressing the dominant-negative Atg5K mutant or by CRISPR-mediated deletion of Atg7.
In summary, our data indicates that iron-induced ROS production plays a critical role in the induction of mitochondrial-dependent apoptotic cell death. Whereas the cell responds to this perturbation via attempting to induce autophagy and resolve optimal homeostasis and function, iron also acts to suppress autophagy flux and thus leads to enhanced cell death after chronic treatment. These observations in a cellular skeletal muscle model could have important translational significance since high levels of iron are known to be associated with muscle wasting [10, 41] and reduced muscle regeneration upon aging [42].
Data availability
The data that support the findings of this study are available from the corresponding author GS upon reasonable request.
References
Sachinidis A, Doumas M, Imprialos K, Stavropoulos K, Katsimardou A, Athyros VG. Dysmetabolic iron overload in metabolic syndrome. Curr Pharm Des. 2020;26:1019–24.
Fillebeen C, Lam NH, Chow S, Botta A, Sweeney G, Pantopoulos K. Regulatory connections between iron and glucose metabolism. Int J Mol Sci. 2020;21.
DeRuisseau KC, Park YM, DeRuisseau LR, Cowley PM, Fazen CH, Doyle RP. Aging-related changes in the iron status of skeletal muscle. Exp Gerontol. 2013;48:1294–302.
Jahng JWS, Alsaadi RM, Palanivel R, Song E, Hipolito VEB, Sung HK, et al. Iron overload inhibits late stage autophagic flux leading to insulin resistance. EMBO Rep. 2019;20:e47911.
Armandi A, Rosso C, Caviglia GP, Ribaldone DG, Bugianesi E. The impact of dysmetabolic sarcopenia among insulin sensitive tissues: a narrative review. Front Endocrinol (Lausanne). 2021;12:716533.
Nishikawa H, Asai A, Fukunishi S, Nishiguchi S, Higuchi K. Metabolic Syndrome and Sarcopenia. Nutrients. 2021;13.
Zhao G. Is iron accumulation a possible risk factor for sarcopenia? Biol Trace Elem Res. 2018;186:379–83.
Marzetti E, Hwang JC, Lees HA, Wohlgemuth SE, Dupont-Versteegden EE, Carter CS, et al. Mitochondrial death effectors: relevance to sarcopenia and disuse muscle atrophy. Biochim Biophys Acta. 2010;1800:235–44.
Dziegala M, Josiak K, Kasztura M, Kobak K, von Haehling S, Banasiak W, et al. Iron deficiency as energetic insult to skeletal muscle in chronic diseases. J Cachexia Sarcopenia Muscle. 2018;9:802–15.
Ikeda Y, Imao M, Satoh A, Watanabe H, Hamano H, Horinouchi Y, et al. Iron-induced skeletal muscle atrophy involves an Akt-forkhead box O3-E3 ubiquitin ligase-dependent pathway. J Trace Elem Med Biol. 2016;35:66–76.
Hofer T, Marzetti E, Xu J, Seo AY, Gulec S, Knutson MD, et al. Increased iron content and RNA oxidative damage in skeletal muscle with aging and disuse atrophy. Exp Gerontol. 2008;43:563–70.
Kondo H, Miura M, Kodama J, Ahmed SM, Itokawa Y. Role of iron in oxidative stress in skeletal muscle atrophied by immobilization. Pflug Arch. 1992;421:295–7.
Galaris D, Barbouti A, Pantopoulos K. Iron homeostasis and oxidative stress: an intimate relationship. Biochim Biophys Acta Mol Cell Res. 2019;1866:118535.
Upadhyay M, Agarwal S. Ironing the mitochondria: relevance to its dynamics. Mitochondrion 2020;50:82–7.
Jomova K, Valko M. Importance of iron chelation in free radical-induced oxidative stress and human disease. Curr Pharm Des. 2011;17:3460–73.
Rainey NE, Moustapha A, Saric A, Nicolas G, Sureau F, Petit PX. Iron chelation by curcumin suppresses both curcumin-induced autophagy and cell death together with iron overload neoplastic transformation. Cell Death Disco. 2019;5:150.
Uberti VH, de Freitas BS, Molz P, Bromberg E, Schroder N. Iron overload impairs autophagy: effects of rapamycin in ameliorating iron-related memory deficits. Mol Neurobiol. 2020;57:1044–54.
Liu Y, Palanivel R, Rai E, Park M, Gabor TV, Scheid MP, et al. Adiponectin stimulates autophagy and reduces oxidative stress to enhance insulin sensitivity during high-fat diet feeding in mice. Diabetes 2015;64:36–48.
Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc. 2013;8:2281–308.
Esposito BP, Epsztejn S, Breuer W, Cabantchik ZI. A review of fluorescence methods for assessing labile iron in cells and biological fluids. Anal Biochem. 2002;304:1–18.
Aron AT, Loehr MO, Bogena J, Chang CJ. An endoperoxide reactivity-based FRET probe for ratiometric fluorescence imaging of labile iron pools in living cells. J Am Chem Soc. 2016;138:14338–46.
Russell RC, Tian Y, Yuan H, Park HW, Chang YY, Kim J, et al. ULK1 induces autophagy by phosphorylating Beclin-1 and activating VPS34 lipid kinase. Nat Cell Biol. 2013;15:741–50.
Kimura S, Noda T, Yoshimori T. Dissection of the autophagosome maturation process by a novel reporter protein, tandem fluorescent-tagged LC3. Autophagy 2007;3:452–60.
Eng KE, Panas MD, Karlsson Hedestam GB, McInerney GM. A novel quantitative flow cytometry-based assay for autophagy. Autophagy 2010;6:634–41.
Anderson GJ, Frazer DM. Current understanding of iron homeostasis. Am J Clin Nutr. 2017;106:1559S–66S.
Stiban J, So M, Kaguni LS. Iron-sulfur clusters in mitochondrial metabolism: multifaceted roles of a simple cofactor. Biochem (Mosc). 2016;81:1066–80.
Baturina GS, Katkova LE, Palchikova IG, Kolosova NG, Solenov EI, Iskakov IA. Mitochondrial antioxidant SkQ1 improves hypothermic preservation of the cornea. Biochem (Mosc). 2021;86:382–8.
Stefanova NA, Ershov NI, Kolosova NG. Suppression of Alzheimer’s disease-like pathology progression by mitochondria-targeted antioxidant SkQ1: a transcriptome profiling study. Oxid Med Cell Longev. 2019;2019:3984906.
Zernii EY, Gancharova OS, Baksheeva VE, Golovastova MO, Kabanova EI, Savchenko MS, et al. Mitochondria-targeted antioxidant SkQ1 prevents anesthesia-induced dry eye syndrome. Oxid Med Cell Longev. 2017;2017:9281519.
Lee W, An G, Park H, Lim W, Song G. Diflubenzuron leads to apoptotic cell death through ROS generation and mitochondrial dysfunction in bovine mammary epithelial cells. Pestic Biochem Physiol. 2021;177:104893.
Nakamura T, Naguro I, Ichijo H. Iron homeostasis and iron-regulated ROS in cell death, senescence and human diseases. Biochim Biophys Acta Gen Subj. 2019;1863:1398–409.
Tian Q, Qin B, Gu Y, Zhou L, Chen S, Zhang S, et al. ROS-mediated necroptosis is involved in iron overload-induced osteoblastic cell death. Oxid Med Cell Longev. 2020;2020:1295382.
Lv HH, Zhen CX, Liu JY, Shang P. PEITC triggers multiple forms of cell death by GSH-iron-ROS regulation in K7M2 murine osteosarcoma cells. Acta Pharm Sin. 2020;41:1119–32.
Shapira S, Raanani P, Samara A, Nagler A, Lubin I, Arber N, et al. Deferasirox selectively induces cell death in the clinically relevant population of leukemic CD34(+)CD38(-) cells through iron chelation, induction of ROS, and inhibition of HIF1alpha expression. Exp Hematol. 2019;70:55–69.e4
Gao L, Loveless J, Shay C, Teng Y. Targeting ROS-mediated crosstalk between autophagy and apoptosis in cancer. Adv Exp Med Biol. 2020;1260:1–12.
Rakshit J, Mallick A, Roy S, Sarbajna A, Dutta M, Bandyopadhyay J. Iron-induced apoptotic cell death and autophagy dysfunction in human neuroblastoma cell line SH-SY5Y. Biol Trace Elem Res. 2020;193:138–51.
Li H, Wang B, Zhang H, Katsube T, Xie Y, Gan L. Apoptosis induction by iron radiation via inhibition of autophagy in Trp53(+/-) mouse testes: is chronic restraint-induced stress a modifying factor? Int J Biol Sci. 2018;14:1109–21.
Su G, Yang W, Wang S, Geng C, Guan X. SIRT1-autophagy axis inhibits excess iron-induced ferroptosis of foam cells and subsequently increases IL-1Beta and IL-18. Biochem Biophys Res Commun. 2021;561:33–9.
Wu D, Liu Z, Wang Y, Zhang Q, Li J, Zhong P, et al. Epigallocatechin-3-gallate alleviates high-fat diet-induced nonalcoholic fatty liver disease via inhibition of apoptosis and promotion of autophagy through the ROS/MAPK signaling pathway. Oxid Med Cell Longev. 2021;2021:5599997.
Saleem MZ, Alshwmi M, Zhang H, Din SRU, Nisar MA, Khan M, et al. Inhibition of JNK-mediated autophagy promotes proscillaridin A-induced apoptosis via ROS generation, intracellular Ca(+2) oscillation and inhibiting STAT3 signaling in breast cancer cells. Front Pharm. 2020;11:01055.
Prokopenko LG, Chalyi GA. [Proteolytic enzymes and their inhibitors as modulators of immunological reactions]. Farm Toksikol. 1987;50:93–9.
Alves FM, Kysenius K, Caldow MK, Hardee JP, Crouch PJ, Ayton S, et al. Iron accumulation in skeletal muscles of old mice is associated with impaired regeneration after ischaemia-reperfusion damage. J Cachexia Sarcopenia Muscle. 2021;12:476–92.
Acknowledgements
This work was funded by funding from Canada’s International Development Research Centre (IDRC) and Canadian Institutes of Health Research (CIHR) to GS. This research was also funded by Startup funds from York University and infrastructure grants from Canada Foundation for Innovation (JELF 2018-0327) and Ontario Research Fund-Research Innovation (ORF-RI) to A.A.A-S”. HKS acknowledges support via a CIHR Fellowship. We thank Hadee Abdul Lone and Patricia Reboucas for technical assistance with flow cytometry and western blotting analysis, respectively, and Dr Dana Al Rijjal for proofreading the text.
Author information
Authors and Affiliations
Contributions
HKS designed and performed experiments and draft of manuscript text. MM conducted flow cytometry experiments in Figs. 2, 3, 5, 6. PR performed experimental work involving western blot. AAA-S advised with design of flow cytometry experiments, analysis of data and editing manuscript text. GS provided funding for project, designed experimental outline and finalized manuscript text.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Edited by Professor Gian Maria Fimia
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Sung, H.K., Murugathasan, M., Abdul-Sater, A.A. et al. Autophagy deficiency exacerbates iron overload induced reactive oxygen species production and apoptotic cell death in skeletal muscle cells. Cell Death Dis 14, 252 (2023). https://doi.org/10.1038/s41419-022-05484-3
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41419-022-05484-3
This article is cited by
-
Insights on E1-like enzyme ATG7: functional regulation and relationships with aging-related diseases
Communications Biology (2024)
-
TRIM28 Fosters Microglia Ferroptosis via Autophagy Modulation to Enhance Neuropathic Pain and Neuroinflammation
Molecular Neurobiology (2024)