Abstract
Fragile X-associated tremor/ataxia syndrome (FXTAS) is a late onset neurodegenerative disorder, characterized by tremors, ataxia, impaired coordination, and cognitive decline. While all FXTAS individuals are carriers of a 55–200 CGG expansion at the 5′ UTR of the fragile X mental retardation gene (FMR1), also known as premutation, not all carriers develop FXTAS symptoms and some display other types of psychological/emotional disorders (e.g., autism, anxiety). The goal of this study was to investigate whether the mitochondrial dysfunction previously observed in fibroblasts from older premutation individuals (>60 y) was already present in younger (17–48 y), non-FXTAS affected carriers and to identify the type and severity of the bioenergetci deficit. Since FXTAS affects mostly males, while females account for a small part of the FXTAS-affected population displaying less severe symptoms, only fibroblasts from males were evaluated in this study. Based on polarographic and enzymatic measurements, a generalized OXPHOS deficit was noted accompanied by increases in the matrix biomarker citrate synthase, oxidative stress (as increased mtDNA copy number and deletions), and mitochondrial network disruption/disorganization. Some of the outcomes (ATP-linked oxygen uptake, coupling, citrate synthase activity and mitochondrial network organization) strongly correlated with the extent of the CGG expansion, with more severe deficits observed in cell lines carrying higher CGG number. Furthermore, mitochondrial outcomes can identify endophenotypes among carriers and are robust predictors of the premutation diagnosis before the onset of FXTAS, with the potential to be used as markers of prognosis and/or as readouts of pharmacological interventions.
Keywords: Autism, Fragile X, mitochondria, neurodegeneration, premutation, triplet nucleotide diseases, endophenotyes, mitochondrial network
Introduction
Fragile X-associated tremor/ataxia syndrome (FXTAS) is caused by a modestly expanded CGG nucleotide repeat (55–200) in the 5′ UTR of the fragile X mental retardation gene FMR1. This expansion is known as the “premutation”, in contrast to the “full mutation” which entails a larger expansion (>200 CGG) in the same gene. The full mutation is causative of the fragile X syndrome (FXS), the most common inherited form of mental retardation. The FMR1 mRNA is rapidly translated at synapses in an activity-dependent manner [1], where it constrains local synaptic protein translation [2]. FMRP, the protein product of FMR1, critically regulates synaptic function, and its transcriptional loss leads to FXS [3], syndrome associated with a high co-morbidity with autism [4, 5]. By contrast, carriers of the premutation show normal or elevated FMR1 mRNA expression, and when affected with FXTAS, neurodegeneration with neuronal intranuclear inclusions that contain the CGG repeat mRNA and various proteins [5, 6].
Research to date has focused on how the CGG repeat might trigger neurodegeneration through a gain-of-function RNA mechanism [7], but critical aspects of disease pathology cannot be explained by a purely RNA-mediated process. Neuronal intranuclear inclusions in FXTAS brains resemble more those observed in Huntington’s disease, another triplet nucleotide disease, and other protein-mediated neurodegenerative disorders rather than those observed in RNA-mediated disorders. Consistent with this view, fibroblasts from older premutation carriers (>60 y old) show mitochondrial pathology similar to that present in Huntington’s disease [8, 9]. Cells from carriers without FXTAS (named hereafter as asymptomatic) exhibited mitochondrial dysfunction characterized by lower Complex IV (34% of controls) and Complex V (71% of controls) activities [8]. While these changes were also observed in those carriers affected with FXTAS, more marked deficits in Complex V (38% of controls), with additional decreases in Complex I (75% of controls; [8]), were observed in these individuals. Thus, the characteristics of the mitochondrial dysfunction and the ubiquitin-positive neuronal inclusions seem to account for a pathologic hallmark of protein-mediated neurodegeneration rather than RNA-mediated [2].
Recently, the paradox of the RNA- mediated vs. protein-mediated toxicity in FXTAS, although still controversial [10], has been partly explained by demonstrating that CGG repeats trigger repeat-associated non-AUG-initiated (RAN) translation [2] of a cryptic polyG-containing protein, FMR1polyG. This FMR1polyG accumulated in ubiquitin-positive inclusions in Drosophila and mammalian cell cultures carrying the expansion, and in FXTAS patient brains [2]. Hence, the molecular pattern observed in FXTAS could be analogous to that in Huntington’s disease, in which at least 9 potential toxic species can be foreseen, including the “traditional” polyQ mutated huntingtin protein [11].
While mitochondrial dysfunction was present in fibroblasts from older carriers of the premutation and more enhanced in those with FXTAS [8], a critical question is whether mitochondrial dysfunction is evident in adult carriers at a relatively younger age without overt clinical symptoms. Considering that FXTAS affects mostly males, while females account for only a small part of the FXTAS-affected population displaying less severe symptoms, only males were evaluated in this study. Here, we evaluated whether (i) mitochondrial dysfunction was present in fibroblasts from younger adults with the premutation who did not meet clinical criteria for FXTAS, (ii) and the nature and severity of the putative dysfunction. The relevance of this study was to establish whether mitochondrial outcomes could serve as early markers of prognosis of the disease or as readouts of the efficacy of therapies before the occurrence of FXTAS symptoms. Although it could be argued that primary dermal fibroblasts do not constitute an appropriate model to address mitochondrial dysfunction (or any other outcome) in a syndrome with clear CNS symptoms, fibroblasts from premutation patients do present overexpression of FMR1 transcript with levels comparable to those observed in neurons, and biochemical changes in fibroblasts [12] followed those exhibited by lymphocytes (Napoli et al., in revision), neurons [13, 14] and brain from carriers [12] and murine models of the premutation [14]. In addition, fibroblasts obtained from skin biopsies have the advantage of being relatively less invasive than muscle biopsy—which is usually used for diagnosing mitochondrial diseases—and avoids the issue of using post-mortem tissues (with the problem of the postmortem interval and cause of death) for brain samples.
Materials and methods
Characteristics of the subjects enrolled in this study
The study group named “control” consisted of 12 individuals, all male, with a mean age of 29 ± 3 y (mean ± SEM) with CGG repeats at the 5′UTR of FMR1 of 30 ± 1 (Table 1). The group named “premutation” was constituted by 5 premutation carriers, all men, with an age of 29 ± 5 y and CGG repeats of 106 ± 19 (Table 1). No significant difference in terms of age (Student’s t test p = 0.496) was observed between these groups, whereas a highly significant difference was observed in terms of CGG length (Student’s t test p = 0.008).
Table 1.
Clinical group | Age (y) | CGG number | Outcomes measured |
---|---|---|---|
Control 1 | 18 | 23 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf |
Control 2 | 21 | 25 | Pol; NQR, CCO, ATPase, CS, CN, Del. |
Control 3 | 29 | 29 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Control 4 | 36 | 30 | Pol; NQR, CCO, ATPase, CS, CN, Del; Conf. |
Control 5 | 20 | 29 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Control 6 | 41 | 43 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Control 7 | 12 | 34 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Control 8 | 26 | 34 | Pol; CS, CN, Del |
Control 9 | 24 | 30 | Pol; CS, CN, Del |
Control 10 | 29 | 30 | Pol; CS, CN, Del |
Control 11 | 25 | 29 | Pol; CS, CN, Del |
Control 12 | 16 | 30 | Pol; CS, CN, Del |
Control 13 | 46 | 30 | NQR, CCO, ATPase, CS, CN, Del |
Control 14 | 39 | 30 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Control 15 | 40 | 30 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf |
Control 16 | 34 | 30 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf |
Premutation 1 | 17 | 170 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf. |
Premutation 2 | 23 | 77 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf. |
Premutation 3 | 33 | 82 | Pol; NQR, CCO, ATPase, CS, CN, Del |
Premutation 4 | 48 | 127 | Pol; NQR, CCO, ATPase, CS, CN, Del, Conf |
Premutation 5 | 25 | 72 | Pol; CS, CN, Del |
Pol: activities evaluated by polarography namely NADH oxidase, succinate oxidase and α-glycerophosphate oxidoreductase activities; CCO: Cytochrome c oxidase activity measured spectrophotometrically; CS = citrate synthase activity; NQR = NADH decylubiquinone oxidoreductase activity; CN = mtDNA copy number; Del = mtDNA deletions in segments encoding for ND4 and CYTB; Conf = mitochondrial morphology/distribution by confocal microscopy.
Cell Culture conditions
Fibroblasts were grown to 75 to 80% confluency to evaluate mitochondrial outcomes. The passage number of cells used for all the measurements was between 8 and 12. Cells were grown in a 1:1 solution of AmnioMAX-C100 and RPMI-1640 Basal Medium supplemented with 10% fetal bovine serum (Invitrogen), 1X penicillin/streptomycin/glutamine (Invitrogen), 1% non-essential amino acids (Invitrogen), and 1:250 fungizone (J R Scientific, Woodland, CA, USA) as previously described elsewhere.
Mitochondrial outcomes
Mitochondria from fibroblasts were evaluated by polarography under phosphorylating conditions (ATP producing) with NAD- and FAD-linked substrates [8]. Briefly, oxygen consumption in digitonin-permeabilized cells was evaluated using a Clark-type oxygen electrode (Hansatech, King’s Lynn, UK) as described [15]. Two million cells were added to the oxygen chamber in a buffer containing 0.22 M sucrose, 50 mM KCl, 1 mM EDTA, 10 mM KH2PO4, and 10 mM HEPES, pH 7.4. Oxygen consumption rates were evaluated in the presence of (i) 1 mM ADP plus 1 mM malate-10 mM glutamate followed by the addition of 5 μM rotenone; (ii) 10 mM succinate followed by the addition of 10 mM malonate; and (iii) 10 mM α-glycerophosphate followed by addition of 3.6 μM antimycin A. The activities of mitochondrial NADH oxidase, succinate oxidase and α-glycerophosphate were evaluated as the difference of oxygen uptake recorded before and after the addition of rotenone, malonate, and antimycin A, respectively. Specific activities of Complex I, IV and V were measured spectrophotometrically as described before [9, 16, 17] assessing respectively the activities of the rotenone-sensitive NADH decylubiquinone oxidoreductase, KCN-sensitive cytochrome c oxidase and oligomycin-sensitive ATPase. The following mitochondria-dependent outcomes were assessed in intact cells in phenol red-free RPMI-1640 media (Life Technologies, Grand Island, NY), supplemented with 10 mM glucose and 2 mM glutamine: (i) ATP-linked oxygen uptake (or State 3-dependent oxygen uptake rate) calculated as the difference between basal and oligomycin-induced State 4 oxygen uptake rates; (ii) State 4, residual respiration after inhibition of ATP synthesis with the ATPase-specific inhibitor oligomycin (2 μM final concentration); (iii) maximal respiratory capacity, or State 3u, oxygen uptake rate in the presence of the uncoupler carbonyl cyanide-4-(trifluoromethoxy)phenylhydrazone (FCCP) (0.2 μM final concentration); (iv) respiratory control ratio, obtained by the ratio between oligomycin-sensitive and oligomycin-resistant oxygen uptake; (v) respiratory control ratio under uncoupling conditions (RCRu), calculated as the ratio between State 3u and State 4; (vi) spare respiratory capacity, calculated as State 3u-dependent oxygen uptake normalized by the basal respiration. Citrate synthase activity (a biomarker for mitochondrial matrix) was evaluated by enzymatic analysis as previously described [8].
Mitochondrial DNA copy number and deletions
For the evaluation of mtDNA copy number and deletions in fibroblasts, genomic DNA was isolated from 1 x 106 cells from fibroblasts using the Gentra Puregene Cell and Tissue Kit (Qiagen, Valencia, CA) and following the manufacturer’s recommendations for cell samples. Concentration and purity of DNA was measured at 260 nm and 280 nm on a Tecan infinite M200 Nanoquant (Tecan, Austria). DNA was diluted to 0.63 ng/μl and served as stock DNA template for qPCR. Following DNA extraction, changes in mtDNA copy number and deletions were evaluated by using dual-labeled probes as described in details elsewhere [15, 18]. Relative mtDNA copy number per cell was assessed by a comparative Ct method, using the following equation: mtDNA/nDNA=2−ΔCt, where ΔCt=Ctmitochondrial-Ctnuclear. Each sample was analyzed in triplicates. The ND1 gene copy number was normalized by the single copy nuclear gene (pyruvate kinase) to reflect the mtDNA copy number per cell whereas the ratios of CYTB or ND4 copy number normalized to that of ND1 reflected mtDNA deletions in the major arc.
Mitochondria morphology and network analyses
Morphological analysis of mitochondria was performed fibroblasts from 4 control and 4 premutation stained with MitoTracker Red as previously described [9, 16]. Cells (1 × 105) were seeded on sterile coverslips, grown overnight at 37°C and then stained with 0.5 μM MitoTracker Red CMXRos (MolecularProbes Inc., Eugene, OR) diluted in growth media for 30 min at 37°C. After staining, cells were washed with media and fixed in 3.7% formaldehyde for 10 min. Fixed cells were washed again in PBS, blocked/permeabilized for 30 min in blocking buffer at 20°C–22°C, counterstained with 1 μg/ml DAPI, and mounted on glass slides with antifading mounting media (Dako). At least 10 fields per cell line were imaged using an Olympus FV1000 laser scanning confocal microscope (excitation and emission wavelengths 594 and 660 nm, respectively) with 60X magnification and zoom values between 3 and 4. Images were analyzed with the ImageJ software discarding the color information and adjusting the threshold to minimize the background level. Pattern of mitochondrial network was analyzed using the Fiji (ImageJ) plugin MitoMap and the percentage of cells exhibiting disrupted mitochondrial network were calculated as described in [19].
Statistics
Statistical analysis was performed with the Student’s t test for comparisons between control and premutation groups, unless otherwise noted. Statistical significance level was set at p value ≤ 0.05. Post-hoc analysis was used to compute the achieved power (given an alpha of 0.05, sample size of 12 for control and 5 for premutation groups), which resulted to be (one-tail) 1.00 for NADH oxidase, succinate oxidase and alpha-glycerophosphate oxidase activities; 0.96 for citrate synthase activity; 1.00 for NQR, CCO and ATPase activities; 0.320 for mtDNA copy number; 0.86 and 1.00 respectively for CYTB and ND4 deletions; 0.96 for oxygen uptake under State 3, and 1.00 for oxygen uptake under State 4 and State 3u; 1.00 for mitochondrial network fragmentation (G*Power software, version 3.0.10).
Results and Discussion
Deficits in bioenergetics and higher citrate synthase activity in fibroblasts from premutation carriers
Primary, dermal fibroblasts were obtained from 12 controls (mean ± SEM, age in years and CGG repeats: 29 ± 3 and 30 ± 1; Table 1) and 5 premutation carriers (29 ± 5 and 106 ± 19; Table 1). To preserve the intracellular environment of which mitochondria are a part, we proceeded to use the selective permeabilization of the plasma membrane of fibroblasts with digitonin to give mitochondrial substrates access to mitochondria and be able to evaluate the rate of oxygen uptake under phosphorylating conditions (i.e., in the presence of ADP to generate ATP). Measurement of mitochondrial oxygen consumption rates is a convenient technique to assess mitochondrial functional integrity. Additionally, the ability of uncouplers and/or various metabolic inhibitors to alter the rate of oxygen consumption in a specified and regulated manner is a further indicator of the functional integrity of mitochondria.
For this study, different segments of the electron transport system were tested for their capacity to generate ATP in fibroblasts from control and premutation individuals: NADH oxidase, using NAD-linked substrates and comprising Complexes I, III, IV and V; succinate oxidase, using FAD-linked substrates and comprising Complexes II, III, IV and V; and α-glycerophosphate oxidoreductase, encompassing Complexes III, IV and V. NADH oxidase, succinate oxidase and α-glycerophosphate oxidoreductase in cells from carriers were respectively 70% (p = 0.009), 55% (p = 0.013) and 70% (p = 0.044) of control values (Figure 1a, Supplementary Table 1). These results suggested a generalized oxidative phosphorylation deficit more pronounced at the level of succinate oxidase compared to NADH oxidase (20% lower) suggesting a lower capacity to oxidize FAD-linked substrates (such as fatty acids) vs. carbohydrates (as NAD-linked substrates). When activities were normalized by citrate synthase, a biomarker of mitochondrial matrix (Figure 1b), differences observed in premutation vs. controls were magnified to 59% (p = 0.031), 42% (p = 0.0006) and 64% (p = 0.060) of controls, respectively, for NADH oxidase, succinate oxidase and α-glycerophosphate oxidoreductase. The more marked differences in the ATP-linked oxygen uptake supported by various substrates between diagnostic groups when normalized to citrate synthase were ascribed to the significantly higher activity of this matrix biomarker in premutation individuals relative to controls (1.6-fold higher; p = 0.009; Figure 1c, Supplementary Table 1).
Increased citrate synthase activity might indicate an effort to increase mitochondrial mass as a result of mitochondrial proliferation via the activation of feedback loops to compensate for a compromised electron transport among Complexes. To evaluate mitochondrial mass, we assessed the mtDNA copy number per cell. However, the lower OXPHOS capacity supports the concept that cells carrying the premutation underwent a remodeling of mitochondria with a relative decrease in the inner membrane components (where the Complexes of the electron transport system are allocated; i.e., Complex I, II, III, IV and V) to the matrix ones (citrate synthase). This could be explained by an abnormal matrix-to-cristae surface area or volume ratio, due to changes in cristae configuration/restructuring [20].
To discern specific, intrinsic defects in the Complexes vs. altered transfer of electrons among Complexes (as observed by polarography), specific activity of Complexes I, IV and V were assessed (Figure 1d, Supplementary Table 1) in fibroblasts from controls and premutation carriers. As reported above for NADH oxidase and cytochrome c oxidase activities, lower specific activity of Complex I (63% of controls, as judged by the NADH-decylubiquinone oxidoreductase, NQR), and Complex IV (52% of controls) was noted in premutation cells (Figure 1d; p = 0.028 and p = 0.009 respectively). Upon normalization by citrate synthase, Complex I and Complex IV activities in cells from carriers of the premutation were 23% and 51% of controls (p = 0.0009 and p = 0.017 respectively, Figure 1e). A decrease in the oligomycin-sensitive ATPase activity was observed in premutation cells, before (81% of controls; p = 0.010) and after (64% of controls; p = 0.069) normalization by citrate synthase (Figures 1d and 1e). As observed in other mitochondrial diseases, the path of electron flow between Complexes (as tested by polarography) did not seem to be as affected as the specific activities of these Complexes. This observation—that the oxygen uptake is less impaired than the marked reduction in the activity of the various Complexes—has been termed “the oxidative reserve” [21, 22]. This reserve implies that the reduction in the supply of reducing equivalents by the individual Complexes is not affecting as much the rate of oxygen uptake since the activity of the Complexes tested are greater than the rate of oxygen uptake. This association will hold until a critical value is reached, beyond which a reduction of oxygen uptake is observed. Clearly this association will also be modified or influenced by the workload (or oxygen demand). This might explain why in some carriers a significant reduction in ATP-linked oxygen uptake does not result in a phenotype while in others the decreased flow of reducing equivalents leads to a reduction of ATP provision and the occurrence of a phenotype or symptoms.
Lower ATP-linked oxygen uptake in mitochondria from intact fibroblasts from premutation carriers
ATP-linked oxygen uptake in intact cells supplemented with glucose and glutamine, inferred by the oligomycin-sensitive oxygen uptake, was 3.3-fold higher (p = 0.006) in fibroblasts from control than premutation (Figure 2a, Supplementary Table 1). Addition of FCCP, to uncouple respiration in order to obtain the maximum oxygen uptake rate, increased the rate of oxygen uptake above State-3 rate for both controls (2.7-fold) and carriers of the premutation (6.3-fold; Figure 2a, Supplementary Table 1). Therefore, the oxygen consumption was limited in both (and more so in carriers) by the capacity of the ATPase. Consistent with these results, the normalized ATPase activity was 36% lower than in carriers (Figure 1d).
Coupling between ATP synthesis and electron flow was evaluated by using the respiratory control ratio (RCR), calculated as the ratio between oligomycin-sensitive and oligomycin-resistant oxygen uptake. The RCR was lower in cells from carriers than controls (28% of controls; p = 0.013; Figure 2b, Supplementary Table 1) indicating that the electrochemical potential generated by the electron flow among Complexes was not harnessed efficiently as ATP. The respiratory control ratio was also evaluated under conditions of maximum oxygen uptake (uncoupling conditions, RCRu) over that of oligomycin-induced State 4 in intact fibroblasts. Mitochondria from premutation cells showed 48% of the RCRu values observed in controls (p = 0.011; Figure 2b, Supplementary Table 1). “True” increased uncoupling is the result of increases in State 4 oxygen uptake [23–25] due to higher proton leak-mediated oxygen uptake (e.g., loss of inner membrane intactness or increased permeability) and/or electron-leak as reactive oxygen species production [26]. In the case of premutation carriers, the lower RCR and RCRu seemed to result from a combination of a lower rate of electron flow across the Complexes (State 3 and State 3u were 30 and 70% of controls; Figure 2a) and higher State 4-linked oxygen uptake (1.7-fold of controls; Figure 2a) rather than by an net increase in State 4-linked oxygen uptake.
The spare respiratory capacity, defined as the difference between ATP produced by oxidative phosphorylation at basal and at maximal respiratory activity, although not statistically significant, was in average 1.6-fold higher in controls than premutation (p = 0.179; Figure 2b, Supplementary Table 1). Considering that the spare respiratory capacity is critical for neuronal susceptibility to cellular stress [27], this result suggest a trend towards lower capacity to adapt to increasing energy demands in the premutation. Resting neurons utilize about 6% of their maximal respiratory capacity, while active neurons up to 80% [28], then even small decreases in reserve respiratory capacity may enhance neuronal vulnerability, predisposing the tissue to energy deficits and neurodegeneration.
Abnormal mitochondrial morphology and disrupted network in fibroblasts from premutation carriers
Mitochondrial function is tightly associated with dynamics, in which fusion-fission and clearance of mitochondria control not only the shape but also bioenergetics, allowing mitochondria to interact with each other; without such dynamics, the mitochondrial population consists of autonomous organelles that have impaired function [29]. To this end, mitochondria morphology, activity and distribution was tested in fibroblasts mitochondria from four premutation carriers and four controls by using confocal microscopy (subjects indicated in Table 1, Figure 3 and Supplementary Figure 1). Mitochondria were visualized by using MitoTrackerRed, dye which is accumulated in mitochondria in favor of a membrane potential [30]. No differences were recorded in the intensity of the MitoTracker staining (normalized by cell area) in the two groups (mean ± SD = 31 ± 2, and 26 ± 4 respectively, p = 0.275) suggesting that the degree of uncoupling between electron transport and ATP production recorded in the premutation fibroblasts as RCR was not enough to produce perturbations in the mitochondrial membrane potential able to affect the mitochondrial accumulation of the Mitotracker dye.
In terms of morphology, mitochondria in control cells looked elongated and tubular and as part of an organized network, whereas in premutation carriers they appeared more fragmented (1.7-fold, p = 0.026) with increased perinuclear localization and a more disorganized and “random” distribution (Figure 3a and Supplementary Figure 1). A strong direct correlation was noted between CGG repeat number and degree of the mitochondrial network fragmentation (Figure 3b). These results suggested either an increased fission not met by the clearance of fragmented mitochondria (mitophagy) and/or issues related to the cellular transport of mitochondria, issues that seemed to be increase in severity with the increase in CGG repeats.
Extent of the CGG expansion correlates inversely with ATP-linked oxygen uptake and coupling, and directly with citrate synthase activity
It has been shown that increasing CGG repeat size correlates strongly with the severity of FXTAS symptoms in older individuals [31] as well as with the degree of mitochondrial dysfunction [8, 12]. In support of this concept, a strong correlation between CGG repeats and fragmented mitochondrial network was noted in fibroblasts from younger premutation individuals (Figure 3). Similarly, a strong inverse correlation was obtained between CGG repeat size and ATP-linked oxygen uptake (NADH- and succinate-oxidase activities, State 3), ATPase activity and uncoupling, while a significant positive correlation was present between CGG repeat expansion and citrate synthase activity (Table 2). An almost significant correlation was obtained between CGG repeat expansion and RCRu, and alpha-glycerophosphate oxidoreductase activity p < 0.1; Table 2).
Table 2.
Outcome | Pearson’s r | P value | |
---|---|---|---|
ATP-linked oxygen uptake (substrate) | |||
| |||
Malate-glutamate | −0.487 | 0.040 | |
Succinate | −0.468 | 0.050 | |
α-glycerophosphate | −0.407 | 0.094 | |
| |||
Complex activities | |||
| |||
Complex I | −0.119 | 0.849 | |
Complex IV | −0.222 | 0.720 | |
Complex V | −0.581 | 0.304 | |
| |||
ATP-linked oxygen uptake and related parameters in intact cells | |||
| |||
State 3 | −0.575 | 0.025 | |
State 4 | 0.275 | 0.321 | |
State 3u | −0.276 | 0.340 | |
RCR | −0.584 | 0.022 | |
RCRu | −0.480 | 0.070 | |
SRC | −0.172 | 0.540 | |
| |||
Mitochondrial mass biomarkers | |||
| |||
Citrate synthase | 0.629 | 0.005 | |
mtDNA copy number | 0.030 | 0.915 | |
| |||
mtDNA damage (%) | |||
| |||
Deletions in CYTB | −0.250 | 0.333 | |
Deletions in ND4 | −0.265 | 0.304 |
Correlation parameters were obtained plotting individual values for CGG repeats and mitochondrial outcomes for 12 control and 5 premutation cell lines. Bolded p values represent the presence of a statistically significant correlation between CGG repeats and a given mitochondrial outcome.
Mitochondrial outcomes as predictors of the premutation diagnosis
In order to evaluate whether mitochondrial outcomes could be used as reliable predictors of the premutation diagnosis, a hierarchical clustering (also called agglomerative clustering or AHC) was performed. AHC starts with each point (row) as its own cluster. At each step the clustering process calculates the distance between each cluster, and combines the two clusters that are closest together. This combining continues until all the points are in one final cluster. Based on the cut-offs set by our analysis, the clustering tree gets cut at a certain point. The combining record is portrayed as a tree, called a dendrogram, with the single points as leaves, the final single cluster of all points as the trunk, and the intermediate cluster combinations as branches. The analysis was first conducted using exclusively those mitochondrial outcomes for which data was available for all the cell lines (namely, NADH oxidase, succinate oxidase, α-glycerophosphate oxidoreductase, cytochrome c oxidase, and citrate synthase activities, as well as mtDNA copy number and deletions; Figure 4a). Subsequently, the same analysis was performed including the data on individual CGG expansions (Figure 4b).
The AHC analysis done with mitochondrial outcomes only classified the donors into three major clusters, namely cluster 1 (n = 9; all controls except Premutation #5), cluster 2 (n = 3, all controls) and cluster 3 (n = 5, all premutation carriers except Control #4; Figure 4a). The inclusion of the CGG size slightly modified the composition of the clusters, with clusters 1 and 2 represented by an n = 7 each (all controls except Premutation #2 and #5 for clusters 1 and 2, respectively), and cluster 3, including the 3 premutation individuals with the most affected mitochondrial outcomes and longest CGG expansion. Thus, the inclusion of the hallmark of this genetic disease (the CGG repeats) did not influence significantly the clustering of subjects and both analyses identified cluster 3 as the one with the most severe mitochondrial dysfunction. Considering the absence of mitochondrial dysfunction in Premutation #5, the algorithm clustered this sample with the rest of the controls in both analyses. Conversely, with the first AHC, one of the controls (Control #4) was included in cluster 3 among premutation samples, likely due to its low cytochrome c oxidase activity and presence of mtDNA deletions.
To test which analysis was a better predictor of the occurrence of the premutation diagnosis, a diagnostic test evaluation was performed (Figure 4c). Both analyses were suitable indicators of the premutation diagnosis, with the analysis performed with mitochondrial outcomes only having a higher sensitivity, or probability that a test result will be positive when the condition is present. Conversely, the inclusion of the CGG size increased by 11% the test’s specificity (probability that a test result will be negative when the disease is not present).
Characterization of endophenotypes among premutation carriers
The onset and/or progression of the disease could be different among carriers. In support of this concept, the AHC analysis based on mitochondrial outcomes (Figure 4a) showed all fibroblasts from premutation carriers clustered together, except for Premutation #5, the only premutation cell line showing oxidative phosphorylation capacity comparable to or higher than controls (Figure 4a and Supplementary Table 1). The four premutation carriers included in cluster 3 presented combined deficits at the level of Complex I, II IV and/or V (Supplementary Table 1), with the most consistent and significant deficiency found at the levels of Complex I, II and IV, accompanied by deficits in Complexes III and V in Premutation #1, 3 and 4 (Supplementary Table 1). Citrate synthase activity, a mitochondrial matrix biomarker, was higher than the 95% CI in 4 carriers, with the exception of Premutation #2 (excluded by cluster 3 when the AHC analysis was performed with mitochondrial outcomes and CGG repeat length, Figure 4b), with a lower activity than the 95% CI (Supplementary Table 1).
In terms of ATP production, respiratory capacity and coupling, all carriers included in cluster 3 showed lower ATP-linked oxygen uptake (State 3), accompanied by a lower respiratory control ratio (RCR; Supplementary Table 1). Three of the five premutation individuals (all belonging to cluster 3) had increased State 4 rates (Supplementary Table 1), index of “true” mitochondrial uncoupling, and lower spare respiratory capacity (SRC).
Given that mitochondrial activities ≤30% for cells in culture are considered as the threshold for minor diagnostic criteria of mitochondrial respiratory system disorders (whereas ≤ 20% is a major; [32]), Premutation carriers #2, #3 and #4 have 3 of 12 outcomes fulfilling the ≤30% threshold. But, this well-established approach relies on significant decreases in mitochondrial electron transport Complex activities and/or the occurrence of known pathogenic mitochondrial DNA mutations [32]. When less stringent criteria are used (i.e., comparison with the 95% CI), 80% of the carriers exhibited values representative of mitochondrial dysfunction in at least 10 of the 14 mitochondrial outcomes measured.
As indicated above, no statistically significant differences in the mean mtDNA copy number per cell or deletions in the segments encoding for CYTB and ND4 were observed between controls and premutation carriers (Figure 1c and Supplementary Table 1). However, 2 of the 5 premutation samples (both included in cluster 3) presented lower mtDNA copy number (61% and 57% of controls respectively) whereas the remaining 3 premutation carriers had mtDNA copy number per cell >95%CI (Supplementary Table 1). The low levels of mtDNA copy number, although significant, did not fulfill the criteria for mtDNA depletion syndrome (≤30%) [33–35]. While low mtDNA levels have been reported during long-term use of antiretroviral agents, viral hepatitis or iron storage diseases [36, 37], it has also been observed in premature ageing or failure in antagonizing long-term oxidative stress, especially in diabetes, heart failure and cancer [38]. The fact that one of these samples (Premutation #2) presented lower mtDNA copy number with increased deletions is indicative of defective mtDNA replication and/or maintenance with increased oxidative stress not compensated by antioxidant or repair defenses. While the mtDNA copy number is usually proportional to mitochondrial mass, changes in this number have been associated with increased oxidative stress, and/or defects in transcription as well as with aberrant behavioral outcomes [39, 40]. Indeed, signs of increased mitochondrial oxidative stress were evident in the three other cell lines included in cluster 3 (Premutation #1, #3 and #4) which showed mtDNA copy number per cell >95%CI with increased deletions in at least one of the mtDNA segments tested; Supplementary Table 1).
Concluding remarks
A role for mitochondrial dysfunction has emerged as a common mechanism underlying many neurological disorders [8, 12, 41–43] including ASD [15, 18, 44] with specific detrimental outcomes, such as lower ATP production, increases in mitochondrial ROS, and/or metabolite-inhibition of critical steps within mitochondrial pathways [45]. In this study, we tested for bioenergetics in fibroblasts from carriers of the premutation before a significant clinical involvement was observed. The most significant changes were increased citrate synthase activity, a generalized lower OXPHOS deficit and a disrupted mitochondrial network, mitochondria morphology and distribution. Although mitochondrial dysfunction has been observed in fibroblasts from older premutation patients [8, 12] and the severity of the dysfunction correlated with the occurrence of clinical symptoms [8, 12], this is the first report of a well-characterized mitochondrial impairment in relatively young carriers. In this regard, the presence of a strong correlation between some of the mitochondrial outcomes tested (ATP-linked oxygen uptake, coupling, citrate synthase activity and the organization of the mitochondrial network) and the CGG repeat expansion in the fibroblasts obtained from younger premutation individuals without overt clinical symptoms is consistent with the correlation between severity of FXTAS symptoms in older individuals and increasing CGG repeat size [31]. Comparing the results obtained with younger carriers (this study) to those obtained previously with older premutation carriers with and without FXTAS (Table 3), the deficits in Complex IV were shared by both age groups, although at a different degree (51% in younger adults, 34% and 56% for asymptomatic and symptomatic >60 y old carriers). Similarly to younger carriers, a clear deficit of Complex V was observed in older carriers with FXTAS only (Table 3), but in the latter case the deficit was more pronounced (by 2-fold). A more generalized OXPHOS deficit was observed in younger carriers with higher citrate synthase activity, whereas in older ones a more specific Complex IV (asymptomatic and FXTAS-affected) and Complex V (only FXTAS-affected) deficits were observed [8].
Table 3.
Age (y) | Mitochondrial outcomes | Reference | ||||
---|---|---|---|---|---|---|
| ||||||
Complex I | Complex II | Complex IV | Complex V | Citrate synthase | ||
28 ± 2 (asymptomatic) | 23%* | N.D. | 51%* | 64% | 164%* | This study |
71 ± 2 (asymptomatic) | 100% | 142% | 34%* | 71% | 74% | [8] |
68 ± 3 (FXTAS-affected) | 75% | 68% | 56%* | 38%* | 100% | [8] |
p < 0.05 vs. age- and sex-matched controls. Activities are expressed as nmol x (min x mg protein)−1, normalized by citrate synthase and expressed as % of control values (age- and sex-matched), except citrate synthase. N.D. Not determined.
The observed increases in citrate synthase activity could reflect an increase in the matrix content of mitochondria, which along with the generalized decreases in electron transfer activity across Complexes, support the concept that the composition of mitochondrial compartments is altered in the premutation. If we were to consider activities of Complexes as references to evaluate the relative amount of the mitochondrial inner membrane, and citrate synthase as a reference for matrix content, then these bioenergetic changes occurring in the premutation seem to result from an altered ratio among respiratory chain components and Krebs’ cycle enzymes. This metabolic switch which includes a lower capacity to metabolize FAD-linked (succinate oxidase) than NAD-linked reducing equivalents (NADH oxidase; i.e., fatty acids over carbohydrates), and the higher citrate synthase activity, may indicate a more pro-inflammatory activity supported by (i) Complex I is linked an activation of the innate immune response state [46, 47], and (ii) the higher citrate synthase activity, which coupled to the citrate transporter, favors the synthesis of cytokine-induced inflammatory signals and prostaglandins [48, 49].
This “pro-inflammatory state” may contribute to the accumulation of mitochondrial and cellular damage. In this regard, mitochondrial dysfunction fuels a detrimental sequence of damage to critical biological targets through the generation of ROS. Increased ROS levels, inferred from the higher State 4-linked oxygen uptake observed in carriers’ cells, may also damage mtDNA (as observed in increased mtDNA deletions in at least one of the genes tested in 4 of 5 carriers) which could sustain this feed-forward spiral of damage by either suppressing the expression of mtDNA-encoded genes for OXPHOS or by damaging the original mtDNA template [50]. As such, accumulation of mitochondrial damage may contribute to the emotional/developmental problems observed in younger carriers of the premutation and, more so, in the presence of FXTAS later in life.
Finally, mitochondrial dysfunction seems to be an incipient pathological process occurring in perhaps all triplet nucleotide repeat disorders [8, 9, 12], underlying the behavioral problems evident in some of these young carriers [5]. Taken together, mitochondrial dysfunction is already evident in fibroblasts from younger, presymptomatic premutation carriers, indicating that these deficits precede the onset and/or development of FXTAS and highlights the importance of mitochondrial outcomes as potential biomarker of prognosis.
Supplementary Material
Acknowledgments
We wish to thank the subjects that provided the samples making this study possible, Dr. Paul Hagerman and Ms. Glenda Espinal (Department of Biological Chemistry and Molecular Medicine; School of Medicine, University of California Davis) for providing the fibroblasts used in this study and Dr. Flora Tassone (Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis) for assessing CGG repeat expansions in blood.
Funding: This study was funded by National Institutes for Health (ES12691, ES020392, HD036071 and HD040661) and Simons Foundation (#271406).
Footnotes
Conflict of Interest: R.H. has received funding from Novartis, Roche/Genentech, Alcobra, and Neuren for treatment trials in fragile X syndrome, autism and Down syndrome. She has also consulted with Novartis, Zynerba and Roche/Genentech regarding treatment for fragile X syndrome. The other authors have no financial disclosures relevant to this article.
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