Summary
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes in which hyperglycemia-induced mitochondrial dysfunction and enhanced oxidative stress contribute to sensory neuron pathology. KU-32 is a novobiocin-based, C-terminal inhibitor of the molecular chaperone, heat shock protein 90 (Hsp90). KU-32 ameliorates multiple sensory deficits associated with the progression of DPN and protects unmyelinated sensory neurons from glucose-induced toxicity. Mechanistically, KU-32 increased the expression of Hsp70 and this protein was critical for drug efficacy in reversing DPN. However, it remained unclear if KU-32 had a broader effect on chaperone induction and if its efficacy was linked to improving mitochondrial dysfunction. Using cultures of hyperglycemically stressed primary sensory neurons, the present study investigated whether KU-32 had an effect on the translational induction of other chaperones and improved mitochondrial oxidative stress and bioenergetics. A variation of stable isotope labeling with amino acids in cell culture called pulse SILAC (pSILAC) was used to unbiasedly assess changes in protein translation. Hyperglycemia decreased the translation of numerous mitochondrial proteins that affect superoxide levels and respiratory activity. Importantly, this correlated with a decrease in mitochondrial oxygen consumption and an increase in superoxide levels. KU-32 increased the translation of Mn superoxide dismutase and several cytosolic and mitochondrial chaperones. Consistent with these changes, KU-32 decreased mitochondrial superoxide levels and significantly enhanced respiratory activity. These data indicate that efficacy of modulating molecular chaperones in DPN may be due in part to improved neuronal mitochondrial bioenergetics and decreased oxidative stress.
Keywords: diabetes, hyperglycemia, SILAC, chaperones, sensory neurons, mitochondria, superoxide dismutase, oxidative stress
Introduction
Diabetic peripheral neuropathy (DPN) is a neurodegenerative complication of diabetes that develops in 50–60% of diabetic patients1. DPN has proven difficult to manage pharmacologically since it does not result from a single biochemical etiology that is manifested uniformly for the disease’s duration (10 – 30 yrs). Molecular targets that are relatively “diabetes specific” (polyol & hexosamine pathways, advanced glycation end products) or which are altered in numerous disease states (PKC activation, altered neurotrophic support, enhanced oxidative stress) contribute to the progressive degeneration of small and large sensory fibers in DPN 2. However, current small molecule inhibitors of the above pathways/products have yielded few therapeutic agents. Clearly, the rational identification of new molecular paradigms that ameliorate DPN and offer “druggable” targets affords translational potential for improving the medical management of DPN.
Many neurodegenerative diseases fall into a class of protein-conformational disorders since their etiology is linked to the accumulation of specific mis-folded or aggregated proteins (for example, β-amyloid & tau in Alzheimer’s disease)3. Though the etiology of DPN is not causally linked to the accrual of any one specific mis-folded or aggregated protein, hyperglycemia can increase oxidative stress4. The oxidative modification of amino acids5, 6 can impair protein folding3, decrease mitochondrial function and protein import2, 5, 7 and increase interaction with molecular chaperones8.
Molecular chaperones such as heat shock proteins 90 and 70 (Hsp90, Hsp70) are critical to folding nascent proteins. However, both of these chaperones are components of the cellular heat shock response (HSR). Numerous conditions that promote cell stress lead to the Hsp90-dependent induction of the HSR which, in part, promotes the transient up-regulation of Hsp70 to aid the refolding or clearance of aggregated and damaged proteins8. Hsp70 upregulation can also prevent neuronal apoptosis9 and decrease oxidative stress in neurodegenerative disorders10. Importantly, the HSR can be pharmacologically activated by inhibiting Hsp90 and we have developed and validated KU-32 as a novel, novobiocin-based, C-terminal Hsp90 inhibitor11, 12 that protects against in vitro neuronal cell death 13, 14. KU-32 also effectively reversed pre-existing psychosensory and electrophysiologic deficits of DPN in mice and its efficacy required Hsp70 as the drug was ineffective at reversing DPN modeled in Hsp70.1 and Hsp70.3 double knockout mice15. While these data clearly support that modulating molecular chaperones offers a potentially novel approach toward treating sensory neuron dysfunction in DPN, additional insight into the mechanism by which KU-32 may improve the function of glycemically stressed neurons is needed.
Increased oxidative stress and mitochondrial dysfunction are strongly implicated in the pathogenesis of DPN5, 16. Using variations of stable isotope labeling of amino acids in culture (SILAC), we have recently shown that numerous mitochondrial proteins are downregulated in response to hyperglycemia in cultured primary Schwann cells and dorsal root ganglia obtained from diabetic rats17, 18. Importantly, decreases in the mitochondrial proteome correlated with a decrease in mitochondrial respiratory capacity18. However, as the level of all proteins is affected by the balance between their rates of synthesis versus degradation, these studies provided no insight into possible effects of hyperglycemia on the rate of protein translation. Indeed, little is known regarding the effect of hyperglycemia on rates of protein translation in sensory neurons.
In the present study, we took an unbiased approach to address the effect of hyperglycemia on protein translation using pulse SILAC (pSILAC)19. Moreover, since the mechanism of KU-32 invokes an increase in chaperone translation, we assessed the effect of hyperglycemia and KU-32 treatment on translation of mitochondrial proteins in sensory neurons. We identify that hyperglycemia decreases the translation of numerous mitochondrial proteins and this correlates with an increase in mitochondrial superoxide levels and a decrease in mitochondrial respiratory function. KU-32 increased the overall rate of protein translation in glycemically stressed neurons, including several cytosolic and mitochondrial chaperones, components of the mitochondrial respiratory chain and Mn superoxide dismutase (MnSOD). Importantly, these changes correlated with a decrease in mitochondrial superoxide levels and increased mitochondrial respiratory capacity. Collectively, these data suggest that KU-32 may improve the sensory deficits associated with DPN by enhancing chaperone levels and improving mitochondrial function.
Experimental Procedures
Preparation of Embryonic Dorsal Root Ganglion Sensory Neurons
Dorsal root ganglion (DRG) neurons were dissected from embryonic day 15–18 rat pups and the ganglia were collected into L15 medium20. The tissue was dissociated with 0.25% trypsin at 37°C for 30 min, the cells resuspended in DMEM containing 25 mM glucose, 10% fetal calf serum (FCS, Atlas Biologicals, Fort Collins, CO) and triturated with a firepolished glass pipette. The cells were counted and plated in the center of collagen coated (0.1 mg/mL collagen followed by overnight air drying in a laminar flow hood) 35 mm dishes at a density of 2–3 × 105 cells per dish. The cells were cultured in maintenance medium composed of DMEM (4.5 mg/ml glucose, 25 mM) containing 10% dialyzed FCS, 1× penicillin/streptomycin, 1X gentamicin and 50 ng/ml NGF (Harlan Biosciences, Indianapolis, IN). To remove proliferating cells, the neurons were treated with 10 µM each of fluorodeoxyuridine and cytosine β-D-arabinoside for two days and the drugs withdrawn for 2 days; this cycle was repeated two more times. As the basal glucose concentration in the culture medium was 25 mM, hyperglycemia was induced by the addition of 20 mM excess glucose as we and others have described previously15, 21, 22. All animal procedures were performed in accordance with protocols approved by the Institutional Animal Care and Use Committee and in compliance with standards and regulations for care and use of laboratory rodents set by the National Institutes of Health.
[3H]Leucine Pulse
To assess the global effect of hyperglycemia and KU-32 on protein translation, neurons were seeded in 12 well plates at 1×105 cells per well and treated for 5 days in the absence or presence of 20 mM excess glucose. During the final 24 hr of the incubation, the cells were treated with DMSO or 1 µM KU-32 and pulsed with 1 µCi/ml L-[2,3,4,5-3H]Leucine (American Radiolabeled Chemicals, St. Louis MO). The cells were washed with ice-cold phosphate-buffered saline (PBS), scraped into 50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1 mM EDTA, 1% NP-40, 1× Complete® protease inhibitors (Roche Diagnostics, Indianapolis, IN) and an aliquot removed for protein determination. Equal amounts of total protein were precipitated by the addition of ice cold trichloroacetic acid to a final concentration of 25% and the precipitate was pelleted by centrifugation. The pellet was washed twice with −20°C acetone, air dried and radioactivity quantified by scintillation spectrometry.
pSILAC Labeling
Lysine (Lys)/Arginine (Arg) deficient DMEM and isotopically enriched (>98%) [2H4] L-Lys; [13C6] L-Arg; [13C6, 15N2] L-Lys and [13C6, 15N4] L-Arg were purchased from Sigma-Isotec (St. Louis, MO). For each neuron preparation, we performed three different sets of experiments to analyze the effect of hyperglycemia and KU-32 on protein translation. The isotopic mixtures and treatments used in the pSILAC19 experiments are summarized in Table 1. To assess the effect of hyperglycemia on translation, the neurons were cultured in maintenance medium containing 125 mg/l 12C-Lys and 84 mg/l 12C-Arg (K0R0) in the absence or presence of 20 mM excess glucose for 5 days. For the final 48 hrs of the incubation, control cultures were isotopically pulsed in DMEM supplemented with [2H4] Lys and [13C6] Arg (K4R6) while cells subjected to hyperglycemia were pulsed in culture medium containing [13C6, 15N2]Lys and [13C6, 15N4] Arg (K8R10). To assess the effect of KU-32 on translation under normoglycemic conditions, the drug was added for the final 24 hrs to neurons pulsed with K8R10; cells pulsed with K4R6 received DMSO. When assessing the effect of KU-32 on translation under hyperglycemic conditions, neurons were maintained in medium containing 20 mM excess glucose for 5 days and 1 µM KU-32 was added for the final 24 hrs to neurons pulsed with K4R6; DMSO was added to the cultures pulsed with K8R10. KU-32 [N-(7-((2R,3R,4S,5R)-3,4-dihydroxy-5-methoxy-6,6-dimethyl-tetrahydro-2H-pyran-2-yloxy)-8-methyl-2-oxo-2H-chromen-3-yl)acetamide] was synthesized and structural purity (>95%) verified as previously described23.
Table 1.
Label Combination |
Treatment | Ratio Analyzed | Interpretation |
---|---|---|---|
K4R6 (M) K8R10 (H) |
25mM glucose 45mM glucose |
H/M | Effect of 5 day hyperglycemia on translation |
K4R6 (M) K8R10 (H) |
25mM glucose 25mM glucose + KU-32 |
H/M | Effect of 24 hr KU-32 treatment on translation in basal glucose |
K4R6 (M) K8R10 (H) |
45mM glucose + KU-32 45mM glucose |
M/H | Effect of 24 hr KU-32 treatment on translation under hyperglycemic conditions |
At the end of the incubations, the cells were washed with ice-cold PBS and resuspended in 0.5 ml of mitochondrial isolation buffer (MIBA) containing 10 mM Tris-HCl, pH 7.4, 1 mM EDTA, 0.2 M D-mannitol, 0.05 M sucrose, 0.5 mM sodium orthovanadate, 1 mM sodium fluoride and 1× Complete® protease inhibitors24. The cells were homogenized and the protein concentration of each lysate was measured in quadruplicate using the Bradford assay and bovine serum albumin as the standard. The samples were then mixed together in a 1:1 mass ratio and the combined lysate was centrifuged at 800 × g for 10 min at 4°C. The supernatant was recovered, a heavy mitochondrial fraction isolated by centrifugation at 8,000 × g for 5 min at 4°C and the pellet washed twice with ice-cold MIBA buffer. Three biological replicates were performed for the MS analysis using neurons obtained from separate litters of embyronic rat pups. Three additional biologic replicates using neurons obtained from separate litters were performed to validate some of the MS data using immunoblot analysis: monoclonal antibodies included Hsp70, mitochondrial Hsp70 and Hsc70 (Stressgen/Enzo Life Sciences, Farmingdale, NY); MnSOD (Upstate Biotechnology/Millipore, Billerica, MA) and β-actin (MP Biomedicals, Solon, OH). Hsp60 and Hsp70 protein 12A polyclonal and secondary antibodies were from Santa Cruz Biotechnology (Santa Cruz, CA).
Mass Spectrometry and Protein Identification
Proteins were identified following one-dimensional SDS-PAGE coupled to RP-HPLC linear quadrupole ion trap Fourier transform ion cyclotron resonance tandem mass spectrometry (GeLC-LTQ-FT MS/MS) 25. About 50 µg of protein was fractionated by SDS-PAGE, the proteins were visualized by staining the gel and the lanes were cut into 10–12 × 0.5 cm sections for ingel tryptic digestion.
Tryptic digestion of the proteins was performed as described previously17, 18. The peptides were separated on a 0.30 × 150 mm, Pepmap C18 micro-capillary reverse-phase column at a flow rate of 5 –10 µl/min with a linear gradient from 5 to 65% acetonitrile in 0.06% aqueous formic acid (v/v) over 65 min. The eluate was introduced into the LTQ-FT tandem mass spectrometer (ThermoFinnigan, Waltham, MA) and mass spectra were acquired in the positive ion mode. All experiments were performed in data-dependent mode using dynamic exclusion with survey MS spectra (m/z 300–2000) acquired in the FT-ICR cell with resolution R = 50,000 at m/z 400 and accumulation to a target value of 5×105 charges, or a maximum ion accumulation time of 2000 ms. The five most intense ions were isolated and fragmented with a target value of 2 × 103 accumulated ions and an ion selection threshold of 3000 counts. Dynamic exclusion duration was typically 180 sec with early expiration if ion intensity fell below a S/N threshold of 2. The ESI source was operated with a spray voltage of 2.8 kV, a tube lens offset of 130 V and a capillary temperature of 200 °C. All other source parameters were optimized for maximum sensitivity of a synthetic YGGFL peptide ion at m/z 556.27.
Protein Identification and Quantification
Peak lists were acquired from the Xcalibur .raw files using MaxQuant v1.1.1.3626. Protein identification utilized the integrated Andromeda search engine27 queried against the rat IPI database (v3.80, 39,473 entries) that was concatenated with forward plus reverse sequences and supplemented with common contaminants. Search parameters specified a MS tolerance of 20 ppm, a fragment tolerance of 0.5 Da, up to 2 missed cleavages, 3 labeled amino acids per peptide and carboxyamidomethylated cysteine as a fixed modification. Variable modifications were set to consider methionine oxidation and protein N-terminal acetylation. It is not necessary to specify the isotopic labels as variable modifications when using the MaxQuant software28 but the multiplicity was set to three to consider the K4R6 and K8R10 isotope combinations.
The experimental design template of MaxQuant was constructed such that the Xcalibur .raw MS files were grouped together for the three biological replicates (including any technical duplicates) for each treatment group shown in Table 1. For identification, peptides were required to be at least 6 amino acids in length and protein identification required at least one razor plus unique peptide. A protein was only included in the final analysis if it was identified by at least one peptide in two treatment groups. The false discovery rates were set to 1% at the peptide and protein levels. Posterior error probabilities (PEP, false hit probability given the peptide score and length) 26 ranged from 0 to 0.54 (95% of proteins had a PEP < 0.05) and after mass recalibration, the average absolute mass deviation was 1.62 ppm. Annotated MS/MS spectra were derived from the .raw files using the Viewer feature of MaxQuant.
For protein quantitation, we activated the requant feature and specified a single ratio count of unmodified and variably modified peptides for quantitation. For all the quantified peptides of a given protein, MaxQuant reports the median of these expression ratios and the non-normalized ratios are reported in Supplemental Table 1. Gene ontology (GO) annotations were obtained using the Uniprot identifier and the Perseus component of the MaxQuant software suite. Enrichment analyses were performed using the Database for Visualization and Integrated Discovery (DAVID) 29 and the Biological Networks Gene Ontology (BinGO) 30 plug-in of Cytoscape 31.
Superoxide Assessment
Superoxide levels were measured by following the oxidation of dihydroethidine (Invitrogen-Molecular Probes, Carlsbad, CA) to ethidium 32. Neurons were seeded at 1 × 104 cells per well in black 96 well plates and were treated with 25 mM or 45 mM glucose for five days. The cells received 1 µM KU-32 or DMSO for the final 24 hrs of the incubation and the cells were subsequently treated with 15 µM dihydroethidine for 15 mins at 37°C. After washing with PBS, the ratio of ethidium (excitation 530 nm, emission 590 nm) to dihydroethidine (excitation 485 nm, emission 530 nm) was determined using a fluorescence spectrometer.
To directly assess mitochondrial superoxide production, the cells were treated as above and washed once with phenol free Neurobasal medium. MitoTracker Green (80 nM) and 0.4 µM MitoSOX Red were added to each well and incubated for 10 min33. The cells were washed twice with fresh Neurobasal medium prior to imaging on an Olympus 3I Spinning Disk confocal microscope using excitation/emission wavelengths of 575/624 nm (MitoSox Red) and 494/531 nm (MitoTracker Green)34. As a positive control, some cells were treated with 1.8 µg/ml antimycin A for 25 mins. Fluorescence intensity of the red and green signals of at least 200 cells per treatment was obtained using CellProfiler and CellProfiler Analyst image analysis software.
Mitochondrial Respiration
O2 consumption rate (OCR) was assessed using intact DRG sensory neurons and a XF96 Extracellular Flux Analyzer (Seahorse Biosciences, North Billerica, MA). Extracellular flux analysis is a non-invasive assay which uses two calibrated optical sensors to directly measure OCR in real-time in neurons that remain attached to the culture plate35. Primary embryonic sensory neurons were seeded in the 96 well plates at 1.5 × 104 cells per well and treated for 5 days in 25 mM or 45 mM glucose. Cells were treated with 1 µM KU-32 or DMSO for the final 24 hr of the incubation and the cells were placed in fresh bicarbonate-free DMEM containing 5 mM glucose and 1 mM pyruvate. Baseline OCR was assessed in the XF96 analyzer using 4 measurement loops consisting of a 2 minute mix cycle and a 5 min measurement cycle. Respiratory chain inhibitors were then sequentially injected into the wells and ATP-coupled oxygen consumption was calculated as the fraction of the basal OCR sensitive to 1 µg/ml oligomycin, an ATP synthase inhibitor. The maximal uncoupled respiration rate was determined by depolarizing the mitochondrial membrane potential with 1 µM FCCP (carbonylcyanide-4-(trifluoromethoxy)-phenylhydrazone). The cell seeding density and inhibitor concentrations were optimized in preliminary experiments. After the respiratory measures, the cells were harvested and experimental rate values were normalized to protein content of each well. Maximal respiratory capacity, spare respiratory capacity and respiratory state apparent (Stateapp) were determined from the rate data as described36, 37.
Statistical Analyses
All statistical differences between treatments were determined using ProStat (v4.83). Data were analyzed using either a one-way ANOVA and Tukey’s post hoc test or a Kruskal-Wallis test and Dunn’s post-hoc analysis.
Results and Discussion
We have shown previously that 2–3 week old cultures of embryonic sensory neurons can serve as a cell model to examine mechanisms of hyperglycemic stress15, 21. After two weeks in culture, embryonic sensory neurons were subjected to five days of hyperglycemia and the global effect on protein translation was measured by pulsing the cells with [3H]Leu for the final 24 hrs. Hyperglycemically-stressed neurons showed a 22% decrease in [3H]Leu incorporation and treating the cells with 1 µM KU-32 for 24 hr prior to the Leu pulse significantly increased overall translation (Fig. 1). These results suggest that modulating chaperones may broadly increase protein translation.
To identify specific proteins whose translation was differentially effected by hyperglycemia and KU-32, we utilized the pSILAC strategy that has been previously described19 and is outlined in Fig. 2. To assess the effect of KU-32 on protein translation in hyperglycemically stressed sensory neurons, neurons were incubated in K0R0 culture medium containing 45 mM glucose. After 3 days, the K0R0 cultures were divided such that one set of cells was placed in hyperglycemic culture medium containing medium-heavy forms of Lys and Arg (K4R6). The cells were pulsed with K4R6 for 48 hrs and treated with 1 µM KU-32 for the final 24 hr of the incubation. The remaining K0R0 cells were placed in hyperglycemic culture medium containing heavy isotope forms of Lys and Arg (K8R10) and treated with DMSO for the final 24 hr of the incubation. During the isotopic pulse, all newly synthesized proteins can only incorporate the K4R6 or K8R10 forms of Lys and Arg. Total cell lysates were prepared from the two treatment groups and mixed in a 1:1 mass ratio prior to isolation of subcellular fractions. Following mass spectrometric analysis, the abundance ratio of a K4/K8 or R6/R10 peptide reflects the difference in translation of the associated protein due to KU-32 treatment under hyperglycemic conditions (Table 1). Since all the K0R0 peptides associated with a given protein are present prior to the pulse, they can be ignored as they do not represent newly translated protein19.
MaxQuant identified 743 proteins, of which 577 were identified by at least 2 peptides and 280 were quantified (Supplementary Table 1). Approximately one-third of the 280 quantified proteins were present in all of the treatments (Fig. 3A) and of the 156 proteins annotated as mitochondrial, 79 were quantified. Though the log 2 distributions of the protein expression ratios for each treatment were relatively unimodal, they were asymmetric and consistent with hyperglycemia decreasing protein translation and KU-32 treatment of hyperglycemically stressed cells increasing translation (Fig. 3B). To determine what biological processes may be over-represented following KU-32 treatment, proteins showing at least a 1.5 fold increase were submitted to enrichment analysis using DAVID and the BinGO plug-in of Cytoscape. Both analyses supported that protein folding and response to reactive oxygen species were among the enriched biological processes identified (both ~ 11 fold enrichment).
KU-32 Effects Expression of Multiple Molecular Chaperones
The effect of hyperglycemia in absence and presence of KU-32 treatment on the expression of chaperones (green) and proteins with a mitochondrial annotation (red) is shown in Fig. 3C. We have shown previously that KU-32 induces cytosolic Hsp7013 and rather unexpectedly, we did not detect this Hsp70 paralog in any treatment group. This may be due to its relatively low abundance in the neurons compared to the constitutive form of Hsp70 (Hsc70), which is highly abundant and has a similar molecular weight (Fig. 3D). Although an enriched mitochondrial preparation was used in the analysis, cytosolic Hsc70 was among the top ten identifications based on total number of peptides identified, but was not significantly modified in any treatment. However, immunoblot analysis of whole cell lysates revealed that KU-32 significantly increased Hsp70 expression in hyperglycemically stressed neurons (Fig. 3D).
A surprising finding of the pSILAC analysis was that KU-32 also increased mitochondrial chaperones under hyperglycemic conditions. Hsp60 is necessary to ensure the proper folding of proteins imported into the mitochondrial matrix38 and compared to hyperglycemia alone, KU-32 promoted a median increase in translation of 3.7-fold (Fig 3C). An example of a pSILAC isotopic triplet of mtHsp60 is shown in Fig. 4A. As expected, the unlabeled AAVEEGIVIGGGCAII(R0) peptide is of substantially greater intensity than the newly translated labeled peptides (note 5X scale amplification for the K4R6 and K8R10 peaks) since it existed prior to the pulse and its intensity has additive contributions from sample mixing. When comparing the R6 and R10 forms of the peptide as indicative of newly translated protein, KU-32 treatment (R6 peptide at m/z 845.97) clearly enhanced the translation of Hsp60 relative to hyperglycemia alone (note that the mass differences between the peaks are one-half the expected amu shift since the peptides are doubly charged). In contrast, Hsp10 is a mitochondrial chaperone that was identified but not quantified in any treatment, suggesting that it had a lower rate of translation.
Mortalin/Grp75/stress-70 protein is a mitochondrial Hsp70 (mtHsp70) family member that is a component of the presequence translocase-associated motor complex39 and its translation was modestly decreased by hyperglycemia. Similar to Hsp60, the identification of mtHsp70 was by numerous peptides in each treatment. Fig. 4B shows the MS/MS spectra of a peptide that was identified by seven sequential y- and b-ions that KU-32 increased about 1.8-fold in cells subjected to hyperglycemic stress (Fig. 4C). Importantly, immunoblot analysis from 3 separate neuronal cultures further verified this finding (Fig. 4C). In contrast to Hsp60, mtHsp70 is not induced as part of the classic heat shock response, however, it is upregulated in response to other forms of cell stress and its over-expression can improve mitochondrial function during focal ischemia40. Additionally, about 99% of mitochondrial proteins are nuclear encoded and require translocation and import into the organelle39. Although little is known on the effect of diabetes on mitochondrial protein import in sensory neurons, diabetes decreased the rate of protein import into interfibrillar, but not subsarcolemmal cardiac mitochondria7. Since mtHsp70 and Hsp60 are respectively involved in the import and folding of proteins into the mitochondrial matrix38, these data suggest that KU-32 may affect mitochondrial function by facilitating protein import and maturation.
KU-32 also promoted a 4.9-fold increase in the expression of another Hsp70 paralog, Hsp70 protein 12A (Hsp70 p12A), and this was verified by immunoblot analysis of separate neuronal cultures (Fig. 4D). Hsp70 p12A is an atypical member of the Hsp70 family and despite the fact that HSPA12 genes evolved early in the evolution of vertebrates41, the protein’s localization and function remain poorly characterized. Recent reports have provided descriptions that Hsp70 p12A expression is decreased in pre-frontal cortex of schizophrenic brain42 and increased in artherosclerotic lesions43, but no functional properties were ascribed to these observations. Since Hsp70 p12A contains atypical ATPase and substrate binding domains41, it may function as a co-chaperone.
Neither Hsp90α nor Hsp90β were significantly altered by KU-32 in the hyperglycemic neurons. Curiously, KU-32 induced a 1.5-fold increase in calnexin translation, which is a chaperone involved in protein quality control in the endoplasmic reticulum (ER). However, other ER chaperones such as Grp78 and Grp94 were readily identified by numerous peptides but not quantified, suggesting that they were not undergoing substantial changes in translation. Together, these data support that in hyperglycemically stressed neurons, inhibiting the C-terminus of Hsp90 is sufficient to increase several Hsp70 family members and other mitochondrial chaperones.
KU-32 Increased MnSOD Translation and Decreased Glucose-induced Superoxide Production
An established hallmark of mitochondrial dysfunction in DPN is the induction of oxidative stress, due in part to an increase in mitochondrial superoxide production4. Consistent with these data and our previous results18, translation of MnSOD in hyperglycemically stressed neurons was about 50% less than that measured in control neurons (3 peptides quantified) and KU-32 promoted a 2.3 fold increase in the translation of MnSOD (Fig. 5A) in the hyperglycemically stressed cells. Although only quantified by 2 peptides, the identification of this doubly charged peptide was substantiated by a sequential series of 10 b-ions and 11 y-ions (Fig. 5B). Moreover, immunoblot analysis of separate neuronal cultures verified that hyperglycemia decreased MnSOD and that KU-32 treatment significantly increased its expression (Fig. 5A).
To determine if the increase in MnSOD by KU-32 corresponded to a decrease in superoxide production, the ratio of ethidium/dihydroethidium was used as a non-organelle selective measure of superoxide. Neurons were pre-treated with vehicle or KU-32 and exposed to 45 mM glucose for 6 hrs to acutely increase superoxide levels22. Hyperglycemia increased superoxide levels and KU-32 significantly blocked this effect (Fig. 5C). To determine if KU-32 prevented superoxide production within mitochondria in neurons subjected to the more chronic hyperglycemic stress that was used in the proteomic analyses, we used MitoSox red and the mitochondrial marker, MitoTracker Green. Five days of hyperglycemia increased mitochondrial superoxide levels and treating the cells with KU-32 for the final 24 hrs significantly decreased this response (Figs. 5D & 5E). As a positive control, some neurons were treated with antimycin A prior to the addition of the dyes. These data support that modulating the activity of Hsp90 with KU-32 is sufficient to increase MnSOD and decrease glucose-induced mitochondrial oxidative stress.
Increased Translation of Mitochondrial Chaperones and MnSOD by KU-32 Correlates with an Improved Bioenergetic Profile
Hyperglycemia-induced oxidative stress renders mitochondrial proteins more susceptible to oxidative damage. Relative to their rate of production, a slower rate of repair by mitochondrial chaperones favors accumulation of oxidatively damaged proteins in the organelle44. Thus, the ability of KU-32 to increase mitochondrial chaperones and decrease oxidative stress suggests that the bioenergetic profile of the organelle may also be enhanced. To this end, we used a XF96 Extracellular Flux Analyzer to assess the effect of hyperglycemia and KU-32 treatment on oxygen consumption rat (OCR). The XF96 analyzer measures OCR in real time using intact cells and results in Fig. 6A show a typical mitochondrial function experiment from ~5,000 sensory neurons per well (n=4) respiring in DMEM containing 5.5 mM glucose. The first four rates represent basal OCR (light blue shading) and each rate measure was normalized to the total amount of protein per well and expressed as a percent of the final basal OCR (rate 4). Measuring OCR in intact cells in the absence and presence of respiratory chain poisons is the single most useful test to stringently assess mitochondrial dysfunction36. Oligomycin is an ATP synthase inhibitor and its injection decreases the basal OCR. The magnitude of this decrease is indicative of the percent of the basal OCR that is coupled to ATP synthesis (dark blue shading) and the residual OCR is due to proton leak (uncoupled respiration). FCCP is a protonophore whose addition provides a measure of maximal respiratory capacity (MRC, red shading). MRC assesses the functional integrity of the respiratory chain since electron transfer is no longer rate limited by the proton gradient across the inner mitochondrial membrane36. Nicholls has defined spare respiratory capacity (SRC) as the arithmetic difference between MRC and the basal OCR (pink shading)45. SRC provides a functional indication of how close to its bioenergetic limit a cell is respiring36. A loss of SRC, especially in neurons that have variable ATP demands, limits their ability to match energetic needs to environmental demands and renders the cells more susceptible to secondary stressors46, 47. Thus, treatment-induced differences in MRC and SRC are indicative of mitochondrial dysfunction affecting the bioenergetic limits and reserve capacity of the neurons. Although not measured in the current experiment, the green shading is representative of non-mitochondrial OCR values obtained the presence of rotenone and antimycin A to inhibit complexes I and III, respectively.
Neurons were incubated in medium containing 25 or 45 mM glucose for 5 days and treated with KU-32 for the final 24 hrs. To assess respiration under a standard glucose concentration, the cells were placed in serum-free DMEM containing 5.5 mM glucose and 1 mM pyruvate at 37°C for 1 hr prior to measuring OCR. After measuring basal OCR, the cells were exposed to oligomycin and no significant differences were observed in the magnitude of ATP-coupled OCR and proton leak (Fig. 6B). In contrast, though FCCP stimulated MRC above basal OCR in all treatments, neurons exposed to hyperglycemic stress exhibited a significantly blunted MRC relative to control cells (Fig. 6B). Similarly, SRC was also significantly decreased in the glycemically stressed cells compared to control (Fig. 6C, solid bars).
In cells maintained in 25 mM glucose and treated with KU-32, the average MRC and SRC was slightly decreased but this was not significantly different from control. Consistent with the efficacy of KU-32 in decreasing mitochondrial superoxide levels, glycemically stressed cells treated with the drug showed a significant improvement in both MRC (Fig. 6B) and SRC (Fig. 6C, solid bars) compared to the neurons incubated in high glucose alone. The blunted MRC and SRC apparent in the hyperglycemically stressed cells supports that they are energetically stressed and that mitochondrial workload is increased.
The respiratory state apparent (Stateapp) provides a quantitative indication of mitochondrial workload and can be estimated from these data47. As mitochondrial workload decreases, Stateapp approaches 4, a metabolic indicator that minimal ATP-coupled respiration is needed and OCR is primarily uncoupled47. On the other hand, high ATP demand requires state 3.0 respiration (comparable to that induced by FCCP, Fig. 6B). The Stateapp values were 3.5±0.5 and 3.5±0.3 in neurons treated with vehicle or KU-32, respectively, indicating the basal mitochondrial workload required to meet ATP needs. In contrast, hyperglycemia promoted a significant decrease in Stateapp (3.3±0.3, Fig. 6C, striped bars), suggesting that ATP demand is depleting reserve capacity and that the organelles are approaching bioenergetic failure37. Importantly, KU-32 treatment significantly improved this decline. The ability of KU-32 to increase MRC, SRC and Stateapp supports that the cells have recovered significant respiratory capacity that correlates with the induction of mitochondrial chaperones and a decrease in superoxide production. Although numerous factors contribute to OCR37, hyperglycemia-induced damage to respiratory chain proteins may decrease the efficiency of electron transport to affect SRC and increase mitochondrial workload.
Conclusions
Our previous work on novobiocin-based C-terminal Hsp90 inhibitors has demonstrated that they induce Hsp70 and protect cortical and sensory neurons from toxicity induced by β-amyloid peptides and hyperglycemia, respectively13, 15. Although the neuroprotective efficacy of KU-32 in reversing DPN required the presence of Hsp70, the current study sought to unbiasedly identify whether KU-32 promoted the translation of other proteins that may aid sensory neurons in tolerating glucotoxic stress48. Using pSILAC, we identify that mitochondrial chaperones and MnSOD are also increased by KU-32 treatment of hyperglycemically stressed cells. Consistent with the induction of MnSOD, KU-32 decreased mitochondrial superoxide levels in neurons subjected to 5 days of hyperglycemia. Similarly, hyperglycemia decreased various measures of mitochondrial respiratory capacity and treating the neurons with KU-32 significantly improved both maximum and spare respiratory capacity.
Previous investigators have shown that embryonic sensory neurons cultured in vitro for 3 days are susceptible to glucose-induced apoptosis49, 50. However, 2–3 week old cultures of embryonic sensory neurons are resistant to glucose-induced cell death11, 17, similar to adult sensory neurons51. Although the more differentiated embryonic neurons can serve as a cell model to examine mechanisms of hyperglycemic stress unrelated to apoptosis, their response to hyperglycemia does not necessarily mimic that observed in adult neurons. For example, hyperglycemia induced a robust increase in superoxide in adult sensory neurons isolated from chronically diabetic mice but not from neurons obtained from control animals18, 52. Thus, obtaining sensory neurons from adult diabetic animals that have received drug treatment will also be a beneficial approach toward dissecting the mechanism of drug efficacy on improving mitochondrial function. Although correlative, since mitochondrial function is clearly compromised in DPN18, 52, 53, the improved expression of mitochondrial chaperones and enhanced respiratory capacity may at least partially underlie the efficacy of KU-32 in reversing sensory hypoalgesia in diabetic mice15. We would like to emphasize that our approach in using the differentiated embryonic neurons has no implications on the role or relevance of glucose-induced apoptosis to DPN. The neuroprotective properties of KU-32 in ameliorating DPN are unlikely to center on preventing sensory neuron death since apoptosis has not been demonstrated as a key feature in the development of DPN54, 55,56.
It is important to note that Hsp70 is a necessary component of drug efficacy since gene deletion of inducible forms of Hsp70 ablated the ability of KU-32 therapy to reverse several indices of experimental DPN11. However, this does not rule out that the induction of mitochondrial chaperones and MnSOD are not a critical aspect of the effect of KU-32 on improving mitochondrial function, and by extension, DPN. Emerging data supports that diabetes increases oxidative stress and mitochondrial fission/fusion in sensory neurons 57–59. Decreasing oxidative stress and maintaining the fidelity of protein import to support this turnover would be essential to maximizing the bioenergetic capacity of the organelle. As both Hsp70 and mtHsp70 aid mitochondrial protein import via separate import pathways39, we hypothesize that these proteins may enhance mitochondrial bioenergetics by facilitating the import of respiratory and anti-oxidant proteins; MnSOD is imported into the mitochondrial matrix via mtHsp70. To this end, it will be critical to define whether the necessity of Hsp70 induction for drug efficacy is related to improved mitochondrial function and/or protein import. Similarly, the sufficiency/necessity of mtHsp70 and MnSOD induction by KU-32 to improving mitochondrial function in response to hyperglycemic stress remains to be determined.
In conclusion, the salient findings of this study provide proof-of-principle that a novel C-terminal Hsp90 inhibitor can decrease mitochondrial superoxide levels and improve organellar bioenergetics in hyperglycemically stressed neurons. These functional improvements correlated with the translational induction of MnSOD and mitochondrial chaperones by KU-32. Thus, the reported efficacy of KU-32 therapy in ameliorating sensory hypoalgesia in DPN may relate to improved mitochondrial function.
Supplementary Material
Acknowledgements
This work was supported by grants from the Juvenile Diabetes Research Foundation (RTD) and The National Institutes of Health (NS054847, DK073594 to RTD) and (CA120458, CA109265 to BSJB).
Abbreviations
- BinGO
Biological Networks Gene Ontology
- dFCS
dialyzed fetal calf serum
- DPN
diabetic peripheral neuropathy
- GeLC-LTQ-FT MS/MS
gel electrophoresis and liquid chromatography linear quadrupole ion trap Fourier transform ion cyclotron resonance tandem mass spectrometry
- GO
Gene Ontology
- Hsp
heat shock protein
- MnSOD
manganese superoxide dismutase
- OCR
oxygen consumption rate
- PBS
phosphate buffered saline
- pSILAC
pulse stable-isotope labeling with amino acids in cell culture
Footnotes
Supporting Information Available: Supplemental Table 1 provides comprehensive information on the quantified and identified peptides and proteins. Column header information is provided in the first tab of the Excel file. The Quantified Proteins sheet provides information on proteins identified by at least two peptides that were used in the final analyses. The All Proteins sheet provides information on all proteins identified and quantified. The MsMs data sheet provides comprehensive information on the fragmentation of precursor peptides and assignment of fragment ions. This information is available free of charge via the Internet at http://pubs.acs.org.
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