PPARα is essential for retinal lipid metabolism and neuronal survival
- Elizabeth A. Pearsall†1, 2,
- Rui Cheng†2,
- Kelu Zhou2,
- Yusuke Takahashi2, 3,
- H. Greg Matlock2,
- Shraddha S. Vadvalkar4,
- Younghwa Shin2,
- Thomas W. Fredrick1,
- Marin L. Gantner5,
- Steven Meng1,
- Zhongjie Fu1,
- Yan Gong1,
- Michael Kinter4,
- Kenneth M. Humphries4,
- Luke I. Szweda4,
- Lois E. H. Smith1 and
- Jian-xing Ma2, 3Email author
© Ma et al. 2017
Received: 3 June 2017
Accepted: 6 November 2017
Published: 28 November 2017
Peroxisome proliferator activated receptor-alpha (PPARα) is a ubiquitously expressed nuclear receptor. The role of endogenous PPARα in retinal neuronal homeostasis is unknown. Retinal photoreceptors are the highest energy-consuming cells in the body, requiring abundant energy substrates. PPARα is a known regulator of lipid metabolism, and we hypothesized that it may regulate lipid use for oxidative phosphorylation in energetically demanding retinal neurons.
We found that endogenous PPARα is essential for the maintenance and survival of retinal neurons, with Pparα -/- mice developing retinal degeneration first detected at 8 weeks of age. Using extracellular flux analysis, we identified that PPARα mediates retinal utilization of lipids as an energy substrate, and that ablation of PPARα ultimately results in retinal bioenergetic deficiency and neurodegeneration. This may be due to PPARα regulation of lipid transporters, which facilitate the internalization of fatty acids into cell membranes and mitochondria for oxidation and ATP production.
We identify an endogenous role for PPARα in retinal neuronal survival and lipid metabolism, and furthermore underscore the importance of fatty acid oxidation in photoreceptor survival. We also suggest PPARα as a putative therapeutic target for age-related macular degeneration, which may be due in part to decreased mitochondrial efficiency and subsequent energetic deficits.
In order to transduce light signals, photoreceptors must maintain a steep membrane gradient that constantly fluctuates in response to light stimuli, which is energetically demanding . Photoreceptor mitochondria therefore function at full capacity with a limited respiratory reserve, and require abundant energy substrates and oxygen . Fuel shortages or impairment of mitochondrial function are therefore detrimental to photoreceptor survival, and quickly result in neurodegeneration. Accordingly, mitochondrial dysfunction has been linked to a litany of retinal diseases, including age-related macular degeneration, diabetic retinopathy, macular telangtasia and, potentially, retinal degenerations . Further, a growing body of evidence suggests that neurodegenerative diseases of the brain and peripheral nervous system may also have a metabolic root [4, 5]. It is therefore imperative to further the understanding of neuronal energy metabolism such that additional therapeutics targeting metabolic dysregulation can be developed.
Age-related macular degeneration (AMD) is characterized by degeneration of the neural retina and retinal pigment epithelium with subsequent compensatory but ultimately pathological neovascularization in advanced stages. This response may be due in part to mitochondrial dysfunction with aging and subsequent decreased ATP production in photoreceptors [3, 6]. Previous dogma suggested that retinal neurons rely exclusively on glucose as a fuel source , but a recent study identified that retinal neurons use both glucose and lipids for ATP production . However, because lipid use in retinal neurons is newly identified, the mediators of retinal fatty acid oxidation (FAO) are currently unknown. Here we identify a central role for peroxisome proliferator activated receptor-alpha (PPARα) in retinal FAO, and furthermore demonstrate that FAO is crucial for the maintenance and survival of retinal neurons in physiological conditions.
Although PPARα activation has therapeutic effects in neurodegenerative conditions , its endogenous role in neuronal homeostasis and survival is incompletely understood. PPARα is a regulator of FAO, activating transcription of mitochondrial and cell membrane lipid transporters as well as FAO enzymes . We find that Pparα -/- retinas have impaired use of lipids as an oxidizable substrate for ATP production, which may be due to changes in the transcriptional regulation of mitochondrial lipid transporters important for FAO and/or mitochondrial FAO enzymes. To compensate for decreased lipid use, Pparα -/- retinas use more glycolytic products for oxidative phosphorylation, but ultimately develop bioenergetic insufficiency and subsequent neurodegeneration.
Lipids and glucose are both important retinal energy substrates. Lipid oxidation in peroxisomes and mitochondria occurs through FAO, yielding acetyl-CoA for the citric acid cycle and reducing equivalents for the electron transport chain. Glucose is catabolized to pyruvate through glycolysis, which is then converted to lactate, or to acetyl-CoA for the citric acid cycle. Recent studies have suggested that lipids are used for oxidative phosphorylation by retinal neurons, while most glucose is converted to lactate through aerobic glycolysis . However, the regulation of FAO and preferential, context-dependent use of each substrate remain incompletely understood. Our findings also suggest that lipids are used for oxidative phosphorylation in normal conditions and that pyruvate may be more readily used as an oxidizable substrate under the stress of impaired FAO, such as in Pparα -/- retinas. These findings further underscore the importance of lipids as oxidizable substrates for ATP production in retinal neurons, and contribute to the basic understanding of retinal energy metabolism.
Together, these findings identify a central role for PPARα in lipid metabolism and retinal neuronal survival, and further delineate retinal metabolic flux. They also suggest PPARα as a new therapeutic target for neurodegenerative diseases of metabolic origin, including AMD, a leading cause of blindness in the elderly , and potentially in retinal degenerations .
Essential role of endogenous PPARα in neuronal survival
Decreased vascular density in Pparα -/- retinas
Role of PPARα in retinal lipid metabolism
Compensatory use of glycolytic products for oxidative phosphorylation in Pparα -/- retinas
Impaired mitochondrial function in Pparα -/- retinas
Proteomic analysis of Pparα -/- retinas
The retina has high metabolic demands requiring abundant energy substrates, and the ability to utilize lipids as a fuel source may confer a survival advantage. Lipids yield more ATP than glucose when used as an oxidizable substrate . Lipid use may also support continued ATP production during hypoglycemic fasting periods, when fatty acids released from adipose tissue can be used in lieu of glucose for energy production .
Interestingly, our recent study identified that in the retina, the majority of glucose is converted to lactate through aerobic glycolysis, and that lipids are the predominant substrate for oxidative phosphorylation . This is supported by our current findings, which demonstrate that WT retinas readily use lipids for oxidative phosphorylation, and that pyruvate, the primary glycolytic product used as a substrate for oxidative phosphorylation, did not affect mitochondrial respiration. In contrast, use of lipids for oxidative phosphorylation was impaired in Pparα -/- retinas, while pyruvate was more readily used, potentially in a compensatory effect. The relative roles of glucose versus lipid metabolism in the retina and preferential, context-dependent use of each substrate is incompletely understood. In this study, we underscore the importance of lipids for oxidative metabolism, finding that impaired lipid use results in the compensatory use of pyruvate, and ultimately in retinal energy insufficiency and subsequent neurodegeneration. This suggests that under stress conditions, retinal neurons are able to use pyruvate for oxidative phosphorylation, but preferentially use lipids under normal conditions.
Vldlr -/- mice are deficient in both glucose and lipid uptake , while Pparα -/- mice are deficient in FAO but not glucose metabolism. Vldlr -/- and Pparα -/- mice had an equivalent decrease in NADH-linked respiration (Fig. 5e, f), suggesting similar rates of oxidative phosphorylation, which support the notion that lipids are an important substrate for oxidative phosphorylation in the retina. However, Vldlr -/- mice develop both neurodegeneration and pathological neovascularization [7, 15], while Pparα -/- mice undergo neurodegeneration similar to Vldlr -/- mice (Fig. 1c, e), but do not develop neovascular lesions . These findings potentially suggest that there may be different roles for glucose and lipid metabolism in neuronal survival and neovascularization, or that neovascularization results from the extreme stress of both lipid and glucose deficiency in retinal neurons. The relative role of glucose versus lipid metabolism in the retina and in retinal disease states is an important topic of future investigation.
Paradoxically, although Pparα -/- mice do not develop neovascularization or vascular hyperpermeability characteristic of neovascular eye disease, PPARα activation alleviates neovascularization in Vldlr -/- mice and in ischemic proliferative retinopathy [7, 17, 22]. Further, Pparα -/- mice have increased retinal microvascular dysfunction in diabetic conditions . This suggests that although PPARα does not suppress neovascularization in normal conditions, it suppresses it in pathological conditions, perhaps by improving retinal energy efficiency. We have also previously demonstrated that PPARα suppresses pathological Wnt signaling in diabetic and ischemic retinopathies , but found that expression of Wnt target genes was unchanged in Pparα -/- retinas (Additional file 9: Figure S9). This further suggests context-dependent roles for PPARα.
Metabolic dysfunction and resultant bioenergetic aberrations are now recognized as a factor in many aging-related neurodegenerative conditions. AMD is associated with mitochondrial dysfunction and energy deficiency [3, 6]. Impaired cholesterol metabolism may contribute to formation of senile plaques and neurofibrillary tangles in Alzheimer’s disease , and metabolic dysregulation has been linked to Parkinson’s disease . Mitochondrial dysfunction in neurodegenerative disease may result in impaired ATP production, and may also increase mitochondrial generation of reactive oxygen species or initiate mitochondrial apoptosis . We demonstrated here that PPARα activation improves mitochondrial efficiency and utilization of lipids as an energy source, which may therefore alleviate aging-related mitochondrial dysfunction. PPARα agonists are in common clinical use and are well-tolerated, and may therefore be an effective therapeutic approach for age-related neurodegeneration occurring secondary to metabolic dysregulation.
Here we revealed a new role for endogenous PPARα in retinal neuronal energy metabolism, and demonstrated that utilization of lipids as a fuel source is critical to the survival of retinal neurons. These findings have three major implications: (i)PPARα is essential for retinal neuronal survival and lipid metabolism in physiological conditions; (ii) PPARα activation increases retinal energy efficiency and utilization of lipids as an energy substrate (iii) PPARα may be a new therapeutic target for AMD and other neurodegenerative conditions of metabolic origin. This work advances basic understanding of retinal energy metabolism and has significant translational potential.
Mice: C57Bl/6 J, Pparα -/- , and Vldlr -/- mice were originally purchased from Jackson Laboratories (Bar Harbor, ME, USA). Both Pparα -/- and Vldlr -/- mice were global deletions. Experimental animals were bred in-house. For all experiments, animals were maintained on a 12-hour light-dark cycle on a standard laboratory rodent diet (Purina 5053). Four-week-old WT and Pparα -/- mice were injected with either GFP- or PPARα-expressing adenovirus (1 μL of 2.52 × 109 vector particles/mL) 4 weeks prior to sacrifice. Vldlr -/- mice and WT controls were injected intraperitoneally with 20 mg/kg fenofibric acid (AK Scientific, Union City, CA, USA) daily for 2 weeks prior to sacrifice. For terminal studies, animals were euthanized with carbon dioxide asphyxiation, 200 mg/kg pentobarbital (Virbac, Ft. Worth, TX, USA) or 300/60 mg/kg ketamine/xylazine (Virbac) as specified for each assay.
Rats: Sprague–Dawley rats were purchased from Charles River Laboratories (Wilmington, MA, USA) at 8 weeks of age and maintained on a 12-hour light-dark cycle. Rats were fed with control or fenofibrate-containing chow (Purina 5053) for 1 month prior to the experimental endpoint. Fenofibrate was purchased from Sigma-Aldrich (St. Louis, MO, USA) and blended homogenously with chow for a final dose of 20 mg/kg fenofibrate per day (Test Diet, Ft. Worth, TX, USA). Rats were euthanized with 200 mg/kg pentobarbital.
ERG recordings were conducted in WT and Pparα -/- mice at 7, 9, 11, 26, and 52 weeks of age as described previously . Briefly, mice were dark-adapted at least 12 hours prior to the procedure, and were then anesthetized with an 85/12 mg/mL ketamine/xylazine mixture. Pupils were dilated with Atropine (Alcon Laboratories, Ft. Worth, TX, USA) just prior to the procedure. ERG responses were recorded with a platinum needle electrode placed on the corneal surface, a reference electrode placed at the nasal formix, and a ground electrode on the foot. Fourteen responses to a light stimulus of 10 mSec with flash intervals of 20 sec were recorded. For quantitative analyses, the B-wave amplitude was measured between A- and B-wave peaks. N is expressed as number of animals per genotype, per time point.
Optical coherence tomography (OCT)
OCT was used to measure total retinal thickness in WT and Pparα -/- mice at 13, 28, and 60 weeks of age. Mice were anesthetized and pupils dilated as described above. OCT images were taken using an Envisu R2000 imaging system (Bioptegen, Durham, NC, USA). Retinal scans were collected from both eyes of each mouse; 3–4 en face scans were collected from each retina, with each en face scan consisting of 100 B-scans and 1000 A-scans per B-scan. Total retinal thickness was measured using the manual digital caliper feature in the Envisu software, and was measured as the distance from the inner retinal nerve fiber layer to the outer retinal pigment epithelial layer. Measurements were made at 0°, 90°, 180°, and 270° on each retina at a radius of 500 μm. The 0° measurement on “OD” images and the 180° measurement on “OS” images were used for the temporal quadrant, and the opposite measurements were used for the nasal quadrant. N is expressed as number of animals per genotype, per time point.
Cell death ELISA
A DNA fragmentation ELISA (Cell Death Detection ELISA; Roche Applied Science, Indianapolis, IN, USA) was used to quantify total retinal apoptosis in WT and Pparα -/- mice at 4, 8, 18 and 40 weeks of age and in 11-week-old WT and Vldlr -/- mice ± fenofibric acid as described previously [16, 24]. Mice were euthanized with carbon dioxide asphyxiation and retinas quickly excised. Retinas were homogenized in lysis buffer, incubated 30 minutes at room temperature, and spun down to generate a cytoplasmic fraction. The cytoplasmic fraction was then subjected to ELISA analysis as per the manufacturer’s protocol, and relative fragmentation was expressed as OD (405/490 nm) normalized by total protein content as measured by RC/DC assay (Biorad, Hercules, CA, USA) OD (750 nm). N is expressed as number of retinas per genotype, per time point.
Western blotting was used to measure retinal GFAP levels in WT and Pparα -/- mice at 8, 15, and 40 weeks of age as described previously . Mice were euthanized with carbon dioxide asphyxiation and retinas were snap-frozen in liquid nitrogen. One retina per animal was homogenized in Holt’s lysis buffer, and 10 μg of protein were resolved by SDS-PAGE and transferred to a nitrocellulose membrane. Membranes were probed with GFAP antibody (Sigma; Cat # G3893; RRID AB_477010) and subsequently reprobed with HRP-conjugated β-actin (Santa Cruz Biotechnology, Santa Cruz, CA, USA; Cat # sc-47778 HRP; RRID AB_2714189). Band density was quantified using Alpha Imager software (San Jose, CA, USA). N is expressed as number of retinas per genotype, per time point.
Isolectin staining, flatmount, and vascular density quantification
To image retinal vasculature in WT and Pparα -/- mice, isolectin staining was used as described previously . Mice were euthanized with carbon dioxide asphyxiation and whole eyes were fixed in 4% paraformaldehyde for 1 hour and washed with PBS for 10 minutes, three times. Retinas were then dissected and penetrated with 70% ice-cold ethanol at room temperature for 30 minutes, and subsequently penetrated in 1% TPBS (Triton X-100) for 1 hour at room temperature. Retinas were then stained with fluorescent Griffonia simplicifolia isolectin B4 (Invitrogen, Carlsbad, CA, USA) overnight. The stained retinas were washed in three times in PBS for 30 minutes, and subsequently flat-mounted in glycerol media for fluorescent imaging.
To quantify vascular density, single fields of the superficial and deep vascular plexuses in the central and peripheral retina (four fields per retina, one field per quadrant) were imaged at 200× magnification (dimensions: 1388 × 1040). Prior to analysis, the background of each image was selected and cropped manually in Image J using the freehand tool. The background color was set as black. The image was converted to 8 bit before using “Analyze HUVEC Fluo” in the Angiogenesis Analyzer tool for ImageJ. (http://image.bio.methods.free.fr/ImageJ/?Angiogenesis-Analyzer-for-ImageJ). Total vessel length per field, number of junctions per field, and number of meshes per field were used as parameters for the evaluation of retinal vascular network. N is expressed as the number of retinas quantified per genotype, per time point.
Fatty acid oxidative capacity
To measure fatty acid oxidative capacity of WT and Pparα -/- retinas, oxygen consumption rates after addition of fatty acid BSA-conjugated palmitate or BSA vehicle were measured using a Seahorse XFe96 Flux Analyzer® as described previously , with minor modifications. Mice were euthanized with ketamine/xylazine, whole retinas were isolated and 1 mm punch biopsies were loaded into a 96-well spheroid plate. Retinal punches were incubated in assay media consisting of DMEM 5030 supplemented with 20 mM glucose, 5 mM pyruvate, 2 mM glutamine, 10 mM HEPES, and 0.5 mM carnitine (Sigma), and 30 μL BSA-conjugated palmitate or BSA vehicle control (Seahorse/Agilent, Santa Clara, CA) were added to a final concentration of 168 μM just prior to commencing the assay. The Seahorse XF Mito Stress Test Kit® was used to assess mitochondrial respiration as described in the manufacturer’s protocol with minor modifications. Oligomycin was injected in Port A to a final concentration of 3 μM, trifluoromethoxyphenylhydrazone (FCCP) was injected in Ports B and C to a final concentration of 1.5 μM, and rotenone/antimycin A (RAA) was injected in Port D to a final concentration of 4 μM rotenone/4 μM antimycin A. Basal respiration was calculated by subtracting non-mitochondrial respiration (rate after injection of RAA) from the basal rate. Maximal respiration was calculated by subtracting non-mitochondrial respiration from the rate after injection of FCCP. Fold change in basal and maximal respiratory rates was calculated by dividing basal and maximal rates of palmitate-treated punches by that of BSA-treated punches. To determine if increased OCR in palmitate-treated retinas was due to fatty acid oxidation, control punches were treated with 40 μM Cpt1a inhibitor etomoxir (Sigma) or vehicle control for 1 hour prior to commencing the assay. N is expressed as the number of retinal punches per treatment group.
Pyruvate oxidative capacity
To determine whether pyruvate was used as an oxidizable substrate in WT and Pparα -/- retinas, the retinal OCR was measured after addition of pyruvate using a Seahorse XFe96 Flux Analyzer®. Mice were euthanized with ketamine/xylazine, whole retinas were isolated and 1 mm punch biopsies were loaded into a 96-well spheroid plate. Retinal punches were incubated in assay media consisting of DMEM 5030 supplemented with 5 mM glucose, 0.5 mM pyruvate, 2 mM glutamine, and 10 mM HEPES. Assay media (vehicle) control or high-pyruvate-containing assay media were injected into port A to a final concentration of 5 mM pyruvate in pyruvate-injected punches, and 0.5 mM pyruvate in vehicle-injected punches. Oligomycin was injected into port B to a final concentration of 1 μM, FCCP was injected into port C to a final concentration of 2 μM, and RAA was injected in Port D to a final concentration of 2 μM rotenone/2 μM antimycin A. Maximal respiration was calculated by subtracting non-mitochondrial respiration from the rate after injection of FCCP. Fold change in maximal respiratory rate was calculated by dividing the maximal rate of pyruvate-injected punches by that of vehicle-injected punches for both genotypes. N is expressed as the number of retinal punches per treatment group.
Isolation of retinal mitochondria
Retinal mitochondria were isolated as described previously  with minor modifications from rats fed fenofibrate (20 mg/kg) or vehicle 1 month prior to sacrifice. Rats were euthanized with pentobarbital. Retinas were rapidly excised and homogenized in 5-mL ice-cold buffer A (210 mM mannitol, 70 mM sucrose, 1.0 mM EDTA, 5.0 mM MOPS, pH 7.4) with four retinas per preparation. Retinas were then subjected to five passes with a motor-driven Potter–Elvehjem tissue grinder and spun at 500 g for 5 min at 4 °C. The supernatant was subsequently collected and passed through a cheesecloth, then spun again at 500 g for 10 min. The resultant mitochondrial pellet was resuspended in 40 μL of buffer A and protein concentration determined by BCA assay (Pierce, Green Island, NY, USA) according to the manufacturer’s protocol.
Mitochondrial respiration in isolated mitochondria
Mitochondrial respiration was measured in retinal mitochondria from rats fed fenofibrate or vehicle as described previously . Mitochondria were diluted to 0.25 mg/mL in buffer B (210 mM mannitol, 70 mM sucrose, 5.0 mM KH2PO4, and 10 mM MOPS, pH 7.4) containing either 0.1 mM pyruvate/1.0 mM malate or 30 μM palmitoylcarnitine/0.1 mM malate/0.5 mg/mL BSA. Respiration was measured at 20 °C using a fiber optic oxygen measurement system that employs the fluorescence lifetime technique (Instech, Plymouth Meeting, PA, USA). State 3 respiration was initiated by addition of 0.5 mM ADP (Sigma). N is expressed as the number of mitochondrial preparations per treatment group, with four retinas per preparation.
Mitochondrial respiration in intact retinas
To determine whether mitochondrial respiration was changed in WT and Pparα -/- retinas after onset of neurodegeneration, retinal oxygen consumption rate (OCR) was measured in 8- and 12-week-old retinas using a Seahorse XFe96 Flux Analyzer®. Mice were euthanized with ketamine/xylazine, whole retinas were isolated and 1 mm punch biopsies were loaded into a 96-well spheroid plate. Retinal punches were incubated in assay media consisting of DMEM 5030 supplemented with 12 mM glucose, 5 mM pyruvate, 2 mM glutamine and 10 mM HEPES. Oligomycin was injected into port A to a final concentration of 2 μM, FCCP was injected into port B and C to a final concentration of 1 μM, and Rotenone/Antimycin A (RAA) was injected in Port D to a final concentration of 2 μM rotenone/2 μM Antimycin A. Basal respiration was calculated by subtracting non-mitochondrial respiration from the basal rate prior to injection of Oligomycin. Maximal respiration was calculated by subtracting non-mitochondrial respiration from the rate after injection of FCCP. N is expressed as the number of retinal punches per treatment group.
PPARα-expressing adenovirus was generated previously . Ad-GFP prepared previously was used as a control. Preparation, amplification, and titration of the recombinant adenoviruses was performed as described previously [28, 29].
In vitro PPARα knockdown and extracellular flux analysis
R28 rod precursor cells were a kind gift of Dr. Gail Seigel . Cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) containing 1 mM D-glucose, 10% heat-inactivated fetal bovine serum (FBS; Cellgro, Manassas, VA, USA) and 1% antibiotic-antimycotic solution (Cellgro).
Smartpool siRNA (Dharmacon, Lafayette, CO, USA) targeting rat PPARα or scrambled control was delivered into R28 cells by Hiperfect (Qiagen) by reverse transfection following the manufacturer’s protocol. Briefly, 5000 or 120000 R28 cells/well were seeded in an Agilent Seahorse XF96 cell culture microplate or a 12-well plate, respectively. At the same time, cells received 50nM siRNA diluent mixed with Hiperfect. Forty-eight hours after transfection, knockdown efficiency was detected by real-time PCR and oxygen consumption rate was measured using a Seahorse XFe96 Flux Analyzer®.
Seahorse extracellular flux analysis
Forty-eight hours after transfection, oxygen consumption rates were measured using a Seahorse XFe96 Flux Analyzer® following the manufacturer’s protocol. Oligomycin was injected into port A to a final concentration of 2 μM, FCCP was injected into port B to a final concentration of 6 μM, and Rotenone/Antimycin A (RAA) was injected in Port C to a final concentration of 4 μM rotenone/4 μM Antimycin A. Maximal respiration was calculated by subtracting non-mitochondrial respiration from the rate after injection of FCCP. After measurement of oxygen consumption rates, cells were lysed in 30 μl 1X SDS loading buffer. The lysate was resolved by SDS-PAGE and transferred to a nitrocellulose membrane. Membranes were probed with HRP-conjugated anti-β-Actin (Santa Cruz Biotechnology). Band density was quantified using Image J. OCR data was normalized by the density of β-Actin. N is expressed as the number of wells per treatment group.
NADH oxidation assay
To quantify mitochondrial NADH-linked respiration, the consumption of exogenously added NADH was measured spectrophotometrically in WT vs. Pparα -/- retinas and in WT and Vldlr -/- retinas ± fenofibric acid as described previously  with minor modifications. Animals were euthanized with pentobarbital, and retinas rapidly excised and snap-frozen in liquid nitrogen. Retinas were homogenized in 250 μL 25 mM MOPS/1 mM EDTA pH 7.4 and sonicated. Prior to the reaction, retinal homogenates were diluted 1:20 in assay buffer (25 mM MOPS/10 mM KCl, pH 7.4). Exogenous NADH (100 μM; Sigma) was added and its oxidation rate monitored spectrophotometrically at 340 nm. Protein concentration of retinal homogenates was measured using a BCA assay as described above. Data are expressed as ratio of nmol NADH consumed per minute per mg of total retinal protein in control versus experimental group. To verify that observed changes in NADH consumption were due to NADH-linked respiration, complex I inhibitor rotenone (3.5 μM; Sigma) was added to the reaction described above. All assays were performed at room temperature. N is expressed as the number of retinas per genotype, per time point.
Reverse transcription and quantitative real-time PCR
Forward 5′ – 3′
Reverse 5′ – 3′
Transmission electron microscopy (TEM)
TEM was utilized to compare mitochondrial morphology in WT versus Pparα -/- retinas as described previously . Mice were euthanized with carbon dioxide asphyxiation and perfused with 4% paraformaldehyde for 30 minutes. Eyes were removed and fixed overnight, and retinas subsequently excised. Tissue sections were generated using a microtome (Reichert-Jung Ultracut E Microtome, American Instrument, Haverhill, MA, USA) with a diamond knife. Sections (600–800 Å) were collected on copper 75/300 mesh grids for conventional TEM analysis and stained with 2% uranyl acetate and Reynolds’ lead citrate to examine the morphology of photoreceptor mitochondria. Sections were viewed with a transmission electron microscope (JEOL 100CX; JEOL USA Inc., Peabody, MA, USA) at an acceleration voltage of 50 keV. Digital images were collected and stored on a computer for subsequent viewing and analysis. Three retinas from three separate animals were used for each genotype, and over 100 retinal mitochondria were imaged for each animal.
Mass spectrometry was utilized for targeted quantitative proteomic analysis of metabolic pathways in WT versus Pparα -/- retinas as previously performed albeit with minor modifications .
Mice were euthanized with carbon dioxide asphyxiation and PBS-perfused. Retinas were dissected and snap-frozen in liquid nitrogen. Both retinas from each animal were homogenized in 200 μL Holt’s lysis buffer and sonicated, then spun at 500 g for 5 min at 4 °C, and the supernatant was collected. Protein was quantified using a BioRad detergent compatible kit (Hercules, CA) according to the manufacturer’s protocol. The volume equivalent to 60 μg protein was taken for analysis, and 8 pmol of bovine serum albumin were added as a non-endogenous internal standard. Samples were mixed, heated and cooled to room temperature. Acetone (1 mL) was added and proteins were precipitated overnight at –20 °C. The resultant pellet was reconstituted in 60 μL of sample loading buffer and a 20 μL aliquot was resolved by short-run gel electrophoresis (1.5 cm into gel), gel-fixed, and stained. Each lane was cut as a single sample, washed, reduced with DTT, alkylated with idoacetamide, and digested overnight with trypsin. The peptides from the digestion were extracted, evaporated to dryness, and reconstituted in 150 μL 1% acetic acid for analysis.
LC-tandem mass spectrometry analysis
An Eskigent nanoflow system (Sciex, Framingham, MA, USA) was used for liquid chromatography (LC) and ThermoScientific TSQ Vantage triple quadrupole was used for mass spectrometry (Thermo Scientific, San Jose, CA, USA). A 75 μM × 11 cm column packed with Phenometrix Jupiter C18 was used. Sample aliquots (6 μL) were injected for each analysis. Peptides were eluted with a linear gradient of acetonitrile in water with 0.1% formic acid. For data analysis, the open-source program Skyline (developed by Dr. Michael MacCoss, University of Washington) was used. Total protein responses were calculated as the geometric mean of the abundance of peptides measured for each protein, and normalized to bovine serum albumin (BSA) total protein response. The final abundance of each protein was calculated as pmol/100 μg total protein based on the ratio in relation to BSA and the amount of BSA added, and data were expressed as the amount of protein in experimental groups relative to control.
Results are expressed as mean ± SEM. A two-tailed, unpaired Student’s t test was used for two-group comparisons, and a one-way ANOVA with Tukey’s posthoc comparison was used for studies with more than two experimental groups. P values of less than 0.05 were considered statistically significant.
We thank members of the Ma and Smith laboratories for their insightful discussion and critical evaluation of the manuscript.
This work was supported by NIH T32EY005318 (EAP); JDRF 3-PDF-2014-107-A-N (RC); Knights Templar Eye Foundation and Bernadotte foundation (ZF); NIH P30AG050911 (MK); NIH P20GM104934, NIH HL125625 (KH); NIH EY024868, EY017017, EY0222275, P91 HD18655, Lowy Medical Research Institute, European Commission FP7 project 305485 PREVENT-ROP (LEHS); NIH EY012231, EY018659, EY019309, P20GM104934, JDRF 2-SRA-2014-147-Q-R (JXM), and center grants NIH EY021725, NIH GM103639 and NIH GM104934.
Availability of data and materials
All datasets analyzed are available on the Harvard Dataverse repository: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NOY57G.
EAP, RC, LEHS, and JXM conceived and designed experiments. EAP, RC, YT, KZ, SSV, HGM, TWF, SM, MK, and KMH conducted experiments. MLG, KMH, MTK, LIS, and LEHS provided expert advice. EAP, RC, HGM, and KMH analyzed the data. EAP, LEHS, and JXM wrote the manuscript. All authors read and approved the final manuscript.
All animal studies were performed in compliance with the NIH guidelines for the Care and Use of Animals, and approved by the Institutional Animal Care and Use Committees at the University of Oklahoma Health Sciences Center and Boston Children’s Hospital.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Wong-Riley MT. Energy metabolism of the visual system. Eye Brain. 2010;2:99–116.View ArticlePubMedPubMed CentralGoogle Scholar
- Kooragayala K, Gotoh N, Cogliati T, Nellissery J, Kaden TR, French S, et al. Quantification of oxygen consumption in retina ex vivo demonstrates limited reserve capacity of photoreceptor mitochondria. Invest Ophthalmol Vis Sci. 2015;56(13):8428–36.View ArticlePubMedPubMed CentralGoogle Scholar
- Barot M, Gokulgandhi MR, Mitra AK. Mitochondrial dysfunction in retinal diseases. Curr Eye Res. 2011;36(12):1069–77.View ArticlePubMedPubMed CentralGoogle Scholar
- Sato N, Morishita R. The roles of lipid and glucose metabolism in modulation of beta-amyloid, tau, and neurodegeneration in the pathogenesis of Alzheimer disease. Front Aging Neurosci. 2015;7:199.View ArticlePubMedPubMed CentralGoogle Scholar
- Mao L, Nicolae A, Oliveira MA, He F, Hachi S, Fleming RM. A constraint-based modelling approach to metabolic dysfunction in Parkinson’s disease. Comput Struct Biotechnol J. 2015;13:484–91.View ArticlePubMedPubMed CentralGoogle Scholar
- Jarrett SG, Lewin AS, Boulton ME. The importance of mitochondria in age-related and inherited eye disorders. Ophthalmic Res. 2010;44(3):179–90.View ArticlePubMedPubMed CentralGoogle Scholar
- Joyal JS, Sun Y, Gantner ML, Shao Z, Evans LP, Saba N, et al. Retinal lipid and glucose metabolism dictates angiogenesis through the lipid sensor Ffar1. Nat Med. 2016;22(4):439–45.View ArticlePubMedPubMed CentralGoogle Scholar
- Moran EP, Ma JX. Therapeutic effects of PPAR alpha on neuronal death and microvascular impairment. PPAR Res. 2015;2015:595426.View ArticlePubMedPubMed CentralGoogle Scholar
- Lefebvre P, Chinetti G, Fruchart JC, Staels B. Sorting out the roles of PPAR alpha in energy metabolism and vascular homeostasis. J Clin Invest. 2006;116(3):571–80.View ArticlePubMedPubMed CentralGoogle Scholar
- Lim LS, Mitchell P, Seddon JM, Holz FG, Wong TY. Age-related macular degeneration. Lancet. 2012;379(9827):1728–38.View ArticlePubMedGoogle Scholar
- Punzo C, Kornacker K, Cepko CL. Stimulation of the insulin/mTOR pathway delays cone death in a mouse model of retinitis pigmentosa. Nat Neurosci. 2009;12(1):44–52.View ArticlePubMedGoogle Scholar
- Kamasawa N, Furman CS, Davidson KG, Sampson JA, Magnie AR, Gebhardt BR, et al. Abundance and ultrastructural diversity of neuronal gap junctions in the OFF and ON sublaminae of the inner plexiform layer of rat and mouse retina. Neuroscience. 2006;142(4):1093–117.View ArticlePubMedPubMed CentralGoogle Scholar
- Li C, Cheng M, Yang H, Peachey NS, Naash MI. Age-related changes in the mouse outer retina. Optom Vis Sci. 2001;78(6):425–30.View ArticlePubMedGoogle Scholar
- Sloane JA, Hollander W, Rosene DL, Moss MB, Kemper T, Abraham CR. Astrocytic hypertrophy and altered GFAP degradation with age in subcortical white matter of the rhesus monkey. Brain Res. 2000;862(1-2):1–10.View ArticlePubMedGoogle Scholar
- Chen Y, Hu Y, Moiseyev G, Zhou KK, Chen D, Ma JX. Photoreceptor degeneration and retinal inflammation induced by very low-density lipoprotein receptor deficiency. Microvasc Res. 2009;78(1):119–27.View ArticlePubMedPubMed CentralGoogle Scholar
- Moran E, Ding L, Wang Z, Cheng R, Chen Q, Moore R, et al. Protective and antioxidant effects of PPARalpha in the ischemic retina. Invest Ophthalmol Vis Sci. 2014;55(7):4568–76.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu Y, Chen Y, Ding L, He X, Takahashi Y, Gao Y, et al. Pathogenic role of diabetes-induced PPAR-alpha down-regulation in microvascular dysfunction. Proc Natl Acad Sci U S A. 2013;110(38):15401–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Perkins GA, Ellisman MH. Mitochondrial configurations in peripheral nerve suggest differential ATP production. J Struct Biol. 2011;173(1):117–27.View ArticlePubMedGoogle Scholar
- Kinter CS, Lundie JM, Patel H, Rindler PM, Szweda LI, Kinter M. A quantitative proteomic profile of the Nrf2-mediated antioxidant response of macrophages to oxidized LDL determined by multiplexed selected reaction monitoring. PLoS One. 2012;7(11):e50016.View ArticlePubMedPubMed CentralGoogle Scholar
- Houten SM, Wanders RJ. A general introduction to the biochemistry of mitochondrial fatty acid beta-oxidation. J Inherit Metab Dis. 2010;33(5):469–77.View ArticlePubMedPubMed CentralGoogle Scholar
- Cahill Jr GF. Starvation in man. N Engl J Med. 1970;282(12):668–75.View ArticlePubMedGoogle Scholar
- Chen Y, Hu Y, Lin M, Jenkins AJ, Keech AC, Mott R, et al. Therapeutic effects of PPARalpha agonists on diabetic retinopathy in type 1 diabetes models. Diabetes. 2013;62(1):261–72.View ArticlePubMedGoogle Scholar
- Cabezas-Opazo FA, Vergara-Pulgar K, Perez MJ, Jara C, Osorio-Fuentealba C, Quintanilla RA. Mitochondrial dysfunction contributes to the pathogenesis of Alzheimer’s disease. Oxid Med Cell Longev. 2015;2015:509654.View ArticlePubMedPubMed CentralGoogle Scholar
- Zheng L, Gong B, Hatala DA, Kern TS. Retinal ischemia and reperfusion causes capillary degeneration: similarities to diabetes. Invest Ophthalmol Vis Sci. 2007;48(1):361–7.View ArticlePubMedGoogle Scholar
- Murray AR, Chen Q, Takahashi Y, Zhou KK, Park K, Ma JX. MicroRNA-200b downregulates oxidation resistance 1 (Oxr1) expression in the retina of type 1 diabetes model. Invest Ophthalmol Vis Sci. 2013;54(3):1689–97.View ArticlePubMedPubMed CentralGoogle Scholar
- Sun Y, Ju M, Lin Z, Fredrick TW, Evans LP, Tian KT, et al. SOCS3 in retinal neurons and glial cells suppresses VEGF signaling to prevent pathological neovascular growth. Sci Signal. 2015;8(395):ra94.View ArticlePubMedPubMed CentralGoogle Scholar
- Vadvalkar SS, Baily CN, Matsuzaki S, West M, Tesiram YA, Humphries KM. Metabolic inflexibility and protein lysine acetylation in heart mitochondria of a chronic model of type 1 diabetes. Biochem J. 2013;449(1):253–61.View ArticlePubMedPubMed CentralGoogle Scholar
- Moiseyev G, Chen Y, Takahashi Y, Wu BX, Ma JX. RPE65 is the isomerohydrolase in the retinoid visual cycle. Proc Natl Acad Sci U S A. 2005;102(35):12413–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Takahashi Y, Moiseyev G, Chen Y, Ma JX. Identification of conserved histidines and glutamic acid as key residues for isomerohydrolase activity of RPE65, an enzyme of the visual cycle in the retinal pigment epithelium. FEBS Lett. 2005;579(24):5414–8.View ArticlePubMedGoogle Scholar
- Seigel GM. Review: R28 retinal precursor cells: the first 20 years. Mol Vis. 2014;20:301–6.PubMedPubMed CentralGoogle Scholar
- Humphries KM, Yoo Y, Szweda LI. Inhibition of NADH-linked mitochondrial respiration by 4-hydroxy-2-nonenal. Biochemistry. 1998;37(2):552–7.View ArticlePubMedGoogle Scholar
- Ding XQ, Harry CS, Umino Y, Matveev AV, Fliesler SJ, Barlow RB. Impaired cone function and cone degeneration resulting from CNGB3 deficiency: down-regulation of CNGA3 biosynthesis as a potential mechanism. Hum Mol Genet. 2009;18(24):4770–80.View ArticlePubMedPubMed CentralGoogle Scholar