Abstract
Background
Accumulating evidence indicates that RNA oxidation is involved in a wide variety of neurological diseases and may be associated with neuronal deterioration during the process of neurodegeneration. However, previous studies were done in postmortem tissues or cultured neurons. Here, we used transgenic mice to demonstrate the role of RNA oxidation in the process of neurodegeneration.
Methodology/Principal Findings
We demonstrated that messenger RNA (mRNA) oxidation is a common feature in amyotrophic lateral sclerosis (ALS) patients as well as in many different transgenic mice expressing familial ALS-linked mutant copper-zinc superoxide dismutase (SOD1). In mutant SOD1 mice, increased mRNA oxidation primarily occurs in the motor neurons and oligodendrocytes of the spinal cord at an early, pre-symptomatic stage. Identification of oxidized mRNA species revealed that some species are more vulnerable to oxidative damage, and importantly, many oxidized mRNA species have been implicated in the pathogenesis of ALS. Oxidative modification of mRNA causes reduced protein expression. Reduced mRNA oxidation by vitamin E restores protein expression and partially protects motor neurons.
Conclusion/Significance
These findings suggest that mRNA oxidation is an early event associated with motor neuron deterioration in ALS, and may be also a common early event preceding neuron degeneration in other neurological diseases.
Introduction
Oxidative damage is believed to be an important contributor to the pathogenesis of many neurodegenerative diseases including amyotrophic lateral sclerosis (ALS) [1]. It results from modification of vital cellular components, including proteins, lipids and nucleic acids, by free radicals. Reactive oxygen species can hydroxylate guanine to produce 8-oxo-7,8-dihydroguanosine (8-OHG) in RNA, the most abundant oxidized base [2], [3]. Nunomura et al. [4] showed that most of the oxidized nucleosides are associated with cytoplasmic RNA and are restricted to vulnerable neurons in the brains of Alzheimer's disease (AD). Similar RNA oxidation in neuronal cytoplasm was also observed in other disorders [5]–[10]. We previously demonstrated that up to 50% of messenger RNA (mRNA) are oxidized in AD frontal cortices [11]. Some mRNA species are more susceptible to oxidative damage, and many of them have been implicated in the pathogenesis of AD [12]. Oxidized mRNA cannot be translated properly leading to reduced protein expression and consequently, loss of normal protein function [12]–[14]. Ribosomal RNA oxidation was also reported in AD brains [15], [16]. There is a considerable amount of evidence supporting an early involvement of RNA oxidation in the pathological cascade of neurodegeneration [4], [13], [15], [17], [18].
ALS is a fatal neurodegenerative disorder that is characterized by progressive degeneration of motor neurons in the spinal cord, motor cortex and brainstem [19]. The majority of cases have no genetic component, i.e. sporadic ALS (SALS). Approximately 5% of ALS cases are familial (FALS), usually with an autosomal dominant inheritance pattern. About 15–25% of FALS cases are linked to mutation in the gene encoding the antioxidant enzyme Cu2+/Zn2+ superoxide dismutase (SOD1). It is believed that multiple mechanisms underlie the disease progression [19]. Oxidative stress is considered to be one of the important factors [1].
Over-expression of some of FALS-linked mutant SOD1 proteins in transgenic mice results in the development of a neurological disorder that resembles ALS [20]. Mutant SOD1 causes motor neuron degeneration by acquiring a toxic gain of function property rather than by the loss of enzymatic activity [21]. Many studies have shown that the mutant SOD1 toxicity to motor neurons is non-cell autonomous, i.e. mutant damage is required within both motor neurons and non-neuronal cells [22]. In the present study, we investigated whether RNA oxidation plays a role in the pathogenesis of motor neuron degeneration. Our data indicate that RNA oxidation is a common feature in ALS and that RNA oxidation may occur early in disease pathogenesis and promote motor neuron deterioration in ALS.
Results
Poly(A)+ mRNAs isolated from ALS-affected areas are oxidized
We previously developed an immunoprecipitation (IP) procedure using the monoclonal antibody 15A3, which recognizes 8-OHG in the oxidized RNA, to isolate oxidized RNA [12]. We used this established procedure to investigate whether mRNAs are oxidized in ALS postmortem tissues. The following postmortem tissues were examined: 11 SALS motor cortices, 10 SALS lumbar spinal cords, 2 FALS motor cortices (without SOD1 mutations), 5 SALS cerebellums, 5 age-matched normal motor cortices, and 1 age-matched normal lumbar spinal cord. Poly(A)+ mRNAs were isolated from each tissue, and oxidized mRNAs were separated from non-oxidized mRNAs by IP with 15A3 antibodies. The isolated oxidized mRNAs were then reverse transcribed to cDNAs with DIG-labeled dUTPs to facilitate analysis by Southern blotting. Among 11 SALS motor cortex samples, 3 samples showed strong signals on the Southern blot such as SALS1 (Fig. 1A, lane 3), 5 samples showed moderate signals such as SALS2 (lane 4), and 3 samples showed weak signals such as SALS3 (lane 5). Both FALS motor cortex samples showed moderate signals (lane 6 and 7). Among 10 SALS spinal cord samples, 6 samples showed moderate signals such as SALS2 (lane 8), and 4 samples showed very weak signals such as SALS1 (lane 9). There was no or very weak signals in ALS cerebellum (lane 10), normal motor cortex (lane 11) or normal spinal cord (lane 12). A no-antibody control (lane 1) and an 8-OHG-blocked antibody control (lane 2) were also carried out to confirm that the precipitated mRNAs were oxidized mRNAs. The increased mRNA oxidation in ALS tissues did not result from agonal state of disease because it was not observed in the unaffected areas, cerebellum. Further, the postmortem interval did not affect the amount of immunoprecipitated mRNAs. These results indicated that mRNAs are oxidatively damaged to a variable extent in ALS patients.
We quantified the magnitude of mRNA oxidation by comparing the signal densities of oxidized mRNAs (immunoprecipitated RNAs) to serial dilutions of non-oxidized mRNA (unprecipitated RNAs) via Southern blot analysis. Quantitative analysis revealed that about 6–10% of the mRNAs were oxidized in ALS tissues showing strong signals on the Figure 1A Southern blot such as the SALS1 motor cortex (Fig. 1B), and about 3–5% of the mRNAs were oxidized in ALS tissues showing moderate signals.
Significant amounts of poly(A)+ mRNAs are oxidized in the spinal cords of mutant SOD1 mice at the pre-symptomatic stage
We investigated whether mRNA oxidation occurs in transgenic mice expressing FALS-linked mutant SOD1. We first examined mRNA prepared from the spinal cords of 60 day-old (pre-symptomatic stage) SOD1G93A mice. Non-transgenic littermates and age-match transgenic mice over-expressing wild-type SOD1 (SOD1WT) were used as controls (n = 3 per group). Oxidized mRNAs (O) were separated from non-oxidized mRNAs (N) by IP with 15A3 antibodies and then analyzed by Southern blotting. Approximately 30% and 4% of total spinal cord mRNAs were oxidized in SOD1G93A (Fig. 1C, G93A) and SOD1WT (Fig. 1C, WtSOD1) spinal cords, respectively, while a trace amount of mRNA was oxidized in non-transgenic spinal cords (Fig. 1C, WT). These results indicated a significant oxidative damage of mRNAs in the spinal cords of SOD1G93A mice at an early, pre-symptomatic stage. We further examined oxidized mRNA level in the end stage of SOD1G93A spinal cords. The results showed that much lower amounts of total spinal cord mRNAs were oxidized (∼10% or less) in the end stage compared to the pre-symptomatic stage (Fig. 1D), which was consistent with the above ALS postmortem tissues study (Fig. 1A).
Furthermore, we examined whether mRNA oxidation occurs in other mutant SOD1 transgenic mice at pre-symptomatic stage, including SOD1G37R (2 month-old), SOD1G85R (4 month-old), SOD1G127X (5.5 month-old), and SOD1His46R/His48Q (6 month-old) (n = 3 per group). These mice develop the disease onsets at age of ∼7–15.5 months. Southern blot analysis of 15A3-immunoprecipitated mRNAs prepared from the spinal cords showed similar levels of oxidized mRNA in SOD1G127X and SOD1His46R/His48Q but less in SOD1G37R and SOD1G85R compared to SOD1G93A (Fig. 1E). These results suggest that mRNA oxidation may be a common early event preceding motor neuron degeneration in ALS.
A significant increase in RNA oxidation in the motor neurons and oligodendrocytes of the SOD1G93A spinal cord at pre-symptomatic stage
To better understand at which stage RNA oxidation occurs and whether RNA oxidation plays a role in the pathogenesis of motor neuron degeneration, we further investigated RNA oxidation in SOD1G93A mice. We first examined what cell types showed increased RNA oxidation in the lumbar spinal cord from different ages of SOD1G93A mice or non-transgenic littermates (n = 3 per group). Immunofluorescent staining was performed using the 15A3 antibody, which recognizes both 8-OHG and 8-OHdG, markers of oxidative damage to RNA and DNA respectively. The intensity of 15A3 immunofluorescence was significantly increased in 45 day-old SOD1G93A mice (Fig. 2D) and further enhanced in 60 day-old SOD1G93A mice (Fig. 2B&E), while only a very faint signal was detected in non-transgenic littermates (Fig. 2A&C). 15A3 immunoreactivity was prominent in the ventral horn motor neurons as judged by their characteristic size and morphology. In addition, a significant increase of 15A3 immunoreactivity was also observed in the white matter oligodendrocytes (Fig. 2K&L) as identified by CC1 immunostaining (Fig. 2M). Importantly, 15A3 signal intensity was prominent in the cytoplasm and was diminished greatly by the RNase treatment (Fig. 2J) but only slightly by DNase I treatment, which indicated that cytoplasmic RNA was the major site of nucleic acid oxidative damage. Moreover, the immunoreactivity was diminished completely when the antibody was pre-incubated with 8-OHG (Fig. 2I), indicating that the observed fluorescent signal was specific to oxidized base 8-OHG in RNA. During the symptomatic stage, 15A3 signal intensity was decreased in 90 day-old SOD1G93A mice (Fig. 2F), and further reduced in 110 day-old SOD1G93A mice (Fig. 2G). The 15A3 immunoreactivity was low in the dying motor neurons, and started to appear in the glial cells, which was significant at the end stage (Fig. 2H). Figure 2P shows the statistical analysis of motor neuron 15A3 immunofluorescence intensity. We also examined brain sections from 60 day and 90 day-old SOD1G93A mice as well as non-transgenic littermates. No increase in 15A3 immunofluorescence was observed (Fig. 2N&O). These results indicated that RNA oxidation occurs as early as 45 days of age, progressively increasing with age until it peaks at 60–70 days of age (when the motor neurons still look healthy) and then diminishes when the motor neurons begin to degenerate.
RNA oxidation is an early event far preceding motor neuron degeneration
To further examine those motor neurons showing strong 15A3 immunoreactivity, we performed nuclear staining using chromatin-binding dye bis-benzimide (Hoechst 33342). The results showed that motor neurons with strong 15A3 signal had normal nuclear and chromatin morphology (Fig. 3A, G93A 60d). At the symptomatic stage (90 days), the dying motor neurons showed abnormal nuclear and chromatin morphology but less 15A3 immunoreactivity (Fig. 3A, G93A 90d). Mitochondrial vacuolization is considered to be one of the earliest molecular pathological changes in SOD1G93A mice. We examined mitochondrial morphology by electron microscopy, and the results showed that motor neurons with strong 15A3 immunoreactivity had only minor mitochondrial vacuolization (Fig. 3B). Ubiquitinated protein aggregation is a hallmark of degenerating motor neurons. We did not observe ubiquitinated protein aggregation in motor neurons with strong 15A3 immunoreactivity at age of 60 days (Fig. 3C). These results indicate that those motor neurons showing RNA oxidation still appear to be healthy, and that RNA oxidation is an early event.
Some mRNA species are more susceptible to oxidative damage
To identify oxidized mRNA species, we performed DNA microarrays using Affymetrix GeneChip Mouse Genome 430 2.0. This array can analyze ∼39,000 transcripts. Three arrays were performed, and in each array, oxidized mRNAs were prepared from two spinal cords of 60-day old SOD1G93A mice so a total of six mice were analyzed. A total of 3,409 mRNA species were identified, and these oxidized mRNA species and their relative signal intensities on the chips were similar among the three arrays. Semi-quantitative PCR analysis was then performed to verify that the identified mRNA species were present in the oxidized mRNA pool. As shown in Figure 4A, ribosome protein S6, cytochrome c oxidase Va, cytochrome c and myelin basic protein (MBP) mRNAs, which had strong signal intensities on the arrays, were present in the oxidized mRNA pool. Microtubule-associated protein 2 (MAP2) and pericentriolar material 1 (PCM1) mRNAs, which had very weak signal intensities on the arrays, were hardly detected in the oxidized mRNA pool. The signal intensities of PCR products were quite consistent with the signal intensities of the oxidized mRNA species on the arrays.
We then used the computer program Onto-Express (http://vortex.cs.wayne.edu/projects.htm#Onto-Express) to analyze the identified oxidized mRNA species and grouped them according to cellular component or molecular function [23]. The analysis based on the cellular component showed that mRNA species encoded for proteins that localized to mitochondria, ribosome and cytosol were more susceptible to oxidation. The analysis based on the molecular function showed that mRNA species encoded for proteins that are involved in mitochondrial electron transport, protein biosynthesis, myelination, protein folding and degradation, cytoskeleton, tricarboxylic acid cycle and glycolysis, were more susceptible to oxidation.
The signal intensities of the oxidized mRNA species on the chips ranged from ∼200 to ∼12,000. There were 60 mRNA species whose signal intensity was above 5,000, 298 mRNA species whose signal intensity was between 2,000 and 5,000, 648 mRNA species whose signal intensity was between 1,000 and 2,000, and 2,403 mRNA species whose signal intensity was below 1,000. We considered those mRNA species, whose signal intensity was above 2,000, were highly oxidized. Table 1 shows the list of these mRNA species grouped by their function (uncharacterized genes are not listed). Importantly, some of these oxidized mRNAs appear to be related to the pathogenesis of ALS. Several highly oxidized mRNA species correspond to genes linked to familial ALS or ALS-like human motor neuron disease, including SOD1, dynactin 1, and vesicle-associated membrane protein 1.
Table 1. List of highly oxidized mRNA species in the spinal cord of 60 day-old SOD1G93A mice.
Gene accession | Gene title | Intensity index* | SD | |
protein biosynthesis | ||||
AK013880 | asparaginyl-tRNA synthetase | 2.2 | ± | 0.8 |
BQ176989 | eukaryote translation initiation factor 5 | 1.6 | ± | 0.6 |
BC024899 | eukaryote translation initiation factor 5a | 1.6 | ± | 0.8 |
BI693609 | eukaryotic translation elongation factor 1 | 2.3 | ± | 0.7 |
BC018223 | eukaryotic translation elongation factor 1 alpha 1 | 1.5 | ± | 1.0 |
NM_017404 | mitochondrial ribosomal protein L39 | 3.9 | ± | 3.9 |
NM_052835 | ribosomal protein L10 | 1.5 | ± | 0.5 |
AI506565 | ribosomal protein L13 | 2.4 | ± | 0.6 |
AI324936 | ribosomal protein L13a | 5.8 | ± | 0.3 |
NM_001002239 | ribosomal protein L17 | 3.5 | ± | 1.0 |
AK008457 | ribosomal protein L21 | 1.5 | ± | 0.7 |
AV124394 | ribosomal protein L23 | 6.9 | ± | 0.7 |
BC002110 | ribosomal protein L24 | 2.0 | ± | 0.6 |
NM_013762 | ribosomal protein L3 | 3.4 | ± | 0.8 |
NM_009083 | ribosomal protein L30 | 2.6 | ± | 0.6 |
AV109882 | ribosomal protein L31 | 5.8 | ± | 1.1 |
BM114165 | ribosomal protein L5 | 3.0 | ± | 1.1 |
NM_011292 | ribosomal protein L9 | 1.5 | ± | 0.5 |
AI413680 | ribosomal protein S12 | 2.4 | ± | 0.9 |
BB724547 | ribosomal protein S17 | 2.6 | ± | 0.5 |
AV046829 | ribosomal protein S20 | 3.2 | ± | 1.1 |
NM_024277 | ribosomal protein S27a | 3.8 | ± | 2.2 |
BC010987 | ribosomal protein S28 | 4.6 | ± | 0.7 |
AV037157 | ribosomal protein S29 | 4.8 | ± | 0.6 |
AW108231 | ribosomal protein S3 | 2.6 | ± | 0.6 |
NM_009096 | ribosomal protein S6 | 4.7 | ± | 0.7 |
NM_011300 | ribosomal protein S7 | 2.4 | ± | 0.4 |
NM_019883 | ubiquitin A-52 residue ribosomal protein fusion product 1 | 4.6 | ± | 0.6 |
Cytoskeleton | ||||
NM_013798 | actin-like (Actl) | 3.0 | ± | 1.3 |
BB758476 | actin-related protein 3 homolog | 1.5 | ± | 0.6 |
AV148266 | cofilin 1, non-muscle | 5.8 | ± | 1.5 |
NM_011722 | dynactin 6 | 2.2 | ± | 0.8 |
NM_019682.1 | dynein, cytoplasmic, light peptide | 2.2 | ± | 0.8 |
AV224521 | gelsolin | 4.1 | ± | 0.5 |
AW494458 | homolog to myosin regulatory light chain | 1.8 | ± | 0.8 |
NM_207682 | kinesin heavy chain member 1B | 1.7 | ± | 0.5 |
AK161742 | kinesin light chain 1 | 4.3 | ± | 1.2 |
NM_019410 | profilin 2 | 6.0 | ± | 1.3 |
AV148480 | thymosin, beta 10 | 2.2 | ± | 0.8 |
NM_021278 | thymosin, beta 4 | 2.5 | ± | 1.1 |
BB559082 | tubulin cofactor a | 2.1 | ± | 0.5 |
NM_010910 | neurofilament, light polypeptide | 5.1 | ± | 1.3 |
NM_008691 | neurofilament, medium polypeptide | 3.4 | ± | 1.6 |
NM_010904 | neurofilament, heavy polypeptide | 1.9 | ± | 0.4 |
ATP biosynthesis | ||||
AV105788 | ATPase, H+ transporting, lysosomal 34 kD, V1 subunit D | 2.6 | ± | 0.8 |
AV172216 | ATPase, H+ transporting, lysosomal 16 kD, V0 subunit C | 7.5 | ± | 2.1 |
BI154058 | ATPase, H+ transporting, lysosomal 13 kD, V1 subunit G | 3.5 | ± | 1.0 |
sodium:potassium-exchanging ATPase activity | ||||
BG261955 | ATPase, Na+/K+ transporting, beta 2 polypeptide | 1.4 | ± | 0.6 |
AV152334 | ATPase, Na+K+ transporting, beta 1 polypeptide | 6.2 | ± | 0.6 |
Genes implicated in ALS and neurodegeneration | ||||
BC002066 | Superoxide dismutase 1, soluble | 2.2 | ± | 1.0 |
NM_007835 | dynactin 1 | 1.5 | ± | 0.6 |
NM_009496 | vesicle-associated membrane protein 1 | 1.5 | ± | 0.7 |
AI848048 | amyloid beta (A4) precursor-like protein 1 | 3.9 | ± | 1.3 |
NM_030598 | Down syndrome critical region gene 1-like 1 | 2.9 | ± | 0.7 |
NM_011170 | prion protein | 3.6 | ± | 1.0 |
Electron transport chain | ||||
Complex I | ||||
NM_026610 | NADH dehydrogenase (ubiquinone) 1 beta subcomplex 4 | 1.5 | ± | 0.4 |
NM_023172 | NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 9 | 2.7 | ± | 1.3 |
NM_019443 | NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 1 | 4.2 | ± | 0.6 |
NM_028177 | NADH dehydrogenase (ubiquinone) 1, alpha/beta subcomplex, 1 | 1.8 | ± | 0.6 |
NM_026614 | NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 5 | 2.7 | ± | 0.5 |
NM_025358.1 | NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 9 | 0.7 | ± | 0.2 |
NM_028388 | NADH dehydrogenase (ubiquinone) flavoprotein 2 | 3.2 | ± | 1.8 |
Complex II | ||||
NM_023281 | succinate dehydrogenase complex, subunit A, flavoprotein | 1.5 | ± | 0.6 |
Complex III | ||||
NM_025407 | ubiquinol-cytochrome c reductase core protein 1 | 0.8 | ± | 0.6 |
NM_025899 | ubiquinol cytochrome c reductase core protein 2 | 2.0 | ± | 0.5 |
NM_026219 | ubiquinol-cytochrome c reductase binding protein | 8.0 | ± | 1.3 |
Complex IV | ||||
NM_009941 | cytochrome c oxidase subunit IV isoform 1 | 1.6 | ± | 0.3 |
NM_007747 | cytochrome c oxidase, subunit Va | 4.6 | ± | 0.6 |
NM_009942 | cytochrome c oxidase, subunit Vb | 3.0 | ± | 0.8 |
NM_025628 | cytochrome c oxidase, subunit VIb polypeptide 1 | 5.0 | ± | 0.5 |
NM_053071 | cytochrome c oxidase, subunit VIc | 4.3 | ± | 1.0 |
NM_025567 | cytochrome c-1 | 2.3 | ± | 0.6 |
NM_007748 | cytochrome c oxidase, subunit VI a, polypeptide1 | 5.6 | ± | 0.8 |
NM_009945 | cytochrome c oxidase subunit VIIa 2 | 5.2 | ± | 1.0 |
ATP Synthase (Complex V) | ||||
NM_007505 | ATP synthase, H+ transporting, mitochondrial F1 complex, alpha subunit, isoform 1 | 1.1 | ± | 0.7 |
NM_009725 | ATP synthase, H+ transporting, mitochondrial F0 complex, subunit b, isoform 1 | 3.0 | ± | 1.0 |
NM_175015 | ATP synthase, H+ transporting, mitochondrial F0 complex, subunit c (subunit 9), isoform 3 | 3.9 | ± | 1.2 |
NM_027862 | ATP synthase, H+ transporting, mitochondrial F0 complex, subunit d | 4.5 | ± | 0.7 |
NM_007507 | ATP synthase, H+ transporting, mitochondrial F1F0 complex, subunit e | 1.4 | ± | 0.1 |
NM_020582 | ATP synthase, H+ transporting, mitochondrial F0 complex, subunit f, isoform 2 | 1.6 | ± | 1.4 |
NM_007512 | ATPase inhibitory factor 1 | 1.5 | ± | 0.2 |
Adenine Nucleotide Translocator | ||||
NM_007450 | solute carrier family 25 (mitochondrial carrier, adenine nucleotide translocator), member 4 | 5.7 | ± | 1.0 |
NM_007451 | solute carrier family 25 (mitochondrial carrier, adenine nucleotide translocator), member 5 | 1.2 | ± | 0.5 |
oxidoreductase activity | ||||
AV261043 | similar to superoxide dismutase | 3.2 | ± | 1.1 |
BG060909 | stearoyl-Coenzyme A desaturase 2 | 6.0 | ± | 1.3 |
AK009462 | aldo-keto reductase family 1, member A4 | 4.4 | ± | 1.5 |
AV018774 | L-3-hydroxyacyl-Coenzyme A dehydrogenase, short chain | 3.7 | ± | 1.6 |
NM_010239 | ferritin heavy chain | 7.0 | ± | 0.8 |
NM_008133 | glutamate dehydrogenase | 1.3 | ± | 0.7 |
BB166616 | peroxiredoxin 1 | 3.9 | ± | 0.4 |
AV300942 | thioredoxin-like | 2.0 | ± | 0.9 |
TCA cycle | ||||
AV219418 | lactate dehydrogenase 2, B chain | 3.4 | ± | 0.8 |
AV011848 | malate dehydrogenase 1, NAD (soluble) | 6.0 | ± | 1.0 |
AV016940 | malate dehydrogenase, mitochondrial | 3.3 | ± | 0.1 |
Glycolysis | ||||
AW558862 | hexokinase 1 | 3.3 | ± | 1.0 |
BC008184 | aldolase 3 | 4.4 | ± | 0.4 |
NM_007438 | aldolase 1 | 1.9 | ± | 0.6 |
BI407347 | phosphoglycerate mutase 1 | 1.6 | ± | 0.5 |
NM_013509 | enolase 2, gamma neuronal | 1.2 | ± | 0.8 |
protein folding | ||||
NM_022310 | Heat shock 70KD protein 5 | 1.4 | ± | 1.0 |
NM_008907 | peptidylprolyl isomerase A | 2.9 | ± | 0.9 |
BM941165 | cytochrome c oxidase, subunit XVII assembly protein | 1.7 | ± | 0.3 |
BM210281 | chaperonin subunit 6a (zeta) | 1.2 | ± | 0.8 |
C77287 | heat shock protein 90 kDa alpha, class A member 1 | 4.0 | ± | 1.3 |
BC006722 | heat shock protein 8 | 1.8 | ± | 1.3 |
AV038603 | FK506 binding protein 1a | 2.2 | ± | 0.5 |
NM_009836.1 | chaperonin subunit 3 (gamma) | 2.1 | ± | 0.8 |
NM_009964 | crystallin, alpha B | 2.1 | ± | 0.6 |
proteasome | ||||
AV263662 | proteasome (prosome, macropain) 26S subunit, ATPase 2 | 3.4 | ± | 1.2 |
AV212146 | proteasome (prosome, macropain) subunit, beta type 4 | 2.4 | ± | 0.4 |
NM_011184 | proteasome (prosome, macropain) subunit, alphatype 3 | 2.2 | ± | 1.3 |
ubiquitin cycle | ||||
NM_019912 | ubiquitin-conjugating enzyme E2D 2 | 2.9 | ± | 1.0 |
BB315985 | F-box and WD-40 domain protein 11 | 3.0 | ± | 0.9 |
NM_019712 | ring-box 1 | 3.1 | ± | 1.4 |
AU080586 | microtubule-associated protein 1 light chain 3 beta | 5.8 | ± | 4.2 |
lysosome | ||||
NM_010684 | lysosomal membrane glycoprotein 1 | 2.7 | ± | 0.7 |
BB560429 | lysosomal-associated protein transmembrane 4B | 3.8 | ± | 0.8 |
calcium ion binding | ||||
NM_012061 | Ca++dependent activator protein for secretion | 2.1 | ± | 0.9 |
BF608828 | tumor protein, translationally-controlled 1 (Tpt1) | 4.1 | ± | 1.2 |
NM_010097 | Sparc-like1 | 2.6 | ± | 1.3 |
NM_012038 | visinin-like 1 | 3.4 | ± | 1.1 |
NM_016760 | clathrin, light polypeptide | 2.3 | ± | 0.3 |
BG067649 | epidermal growth factor receptor pathway substrate 15 | 2.0 | ± | 1.1 |
NM_009722 | ATPase, Ca++ transporting, cardiac muscle, slowtwitch 2 | 3.3 | ± | 1.0 |
BC021347 | calmodulin 2 (phosphorylase kinase, delta) | 6.0 | ± | 1.1 |
AV015462 | calmodulin 1 | 2.2 | ± | 0.6 |
AV103412 | transketolase | 3.2 | ± | 0.7 |
zinc ion binding | ||||
BB390675 | matrin 3 | 4.4 | ± | 1.0 |
BB833716 | tetratricopeptide repeat domain | 3.6 | ± | 0.8 |
BC010197 | Carboxypeptidase E | 5.0 | ± | 1.8 |
BB246182 | The ring finger protein 157 | 3.0 | ± | 0.9 |
NM_019712 | ring-box 1 (Rbx1) | 3.1 | ± | 1.4 |
AA796766 | metallothionein 2 | 2.1 | ± | 0.8 |
NM_013602 | metallothionein 1 | 2.6 | ± | 0.8 |
protein serine/threonine kinase activity | ||||
BB453775 | mitogen activated protein kinase 10 | 3.0 | ± | 1.4 |
AW541674 | mitogen activated protein kinase kinase 7 | 2.4 | ± | 1.4 |
BF456404 | p21 (CDKN1A)-activated kinase 1 | 3.0 | ± | 0.8 |
BB234940 | discoidin domain receptor family, member 1 | 3.6 | ± | 1.9 |
Myelination | ||||
AV328388 | myelin basic protein | 11.7 | ± | 0.2 |
BB768495 | proteolipid protein | 6.7 | ± | 0.8 |
NM_008614 | myelin-associated oligodendrocytic basic protein | 3.5 | ± | 1.0 |
NM_008885 | peripheral myelin protein | 3.8 | ± | 0.7 |
glutamine biosynthesis | ||||
AI391218 | glutamine synthetase | 1.9 | ± | 0.9 |
cell adhesion | ||||
NM_007614 | catenin (cadherin associated protein), beta 1 | 3.0 | ± | 1.1 |
BB066232 | catenin (cadherin associated protein), alpha 1 | 2.3 | ± | 0.7 |
protein modification | ||||
AW551908 | ubiquitin C | 3.6 | ± | 1.6 |
NM_011664 | ubiquitin B | 7.6 | ± | 0.9 |
NM_019883 | ubiquitin A-52 residue ribosomal protein fusion product 1 | 4.6 | ± | 0.6 |
vesicle-mediated transport | ||||
AF326545 | syntaxin binding protein 1 | 1.8 | ± | 0.4 |
neurotransmitter secretion | ||||
BC018249 | synaptosomal-associated protein 25 kDa | 2.1 | ± | 1.3 |
nucleosome assembly | ||||
BB252350 | H3 histone, family 3A | 5.0 | ± | 1.6 |
BC017540 | TSPY-like 4 | 2.7 | ± | 1.2 |
AV003424 | H2A histone family, member Z | 2.0 | ± | 0.5 |
cell death | ||||
BB433678 | clusterin | 4.0 | ± | 1.9 |
receptor mediated endocytosis | ||||
BB041005 | sorting nexin 17 | 1.9 | ± | 0.6 |
gap junction | ||||
BB039269 | gap junction membrane channel protein alpha 1 | 3.4 | ± | 0.5 |
Golgi stack | ||||
BE691746 | serine incorporator 3 | 1.8 | ± | 0.5 |
AB006361 | prostaglandin D2 synthase (brain) | 3.6 | ± | 1.1 |
BC026372 | Nedd4 family interacting protein 1 | 4.8 | ± | 1.7 |
protein transport | ||||
NM_012061 | Ca2+ dependent activator protein for secretion | 2.1 | ± | 0.9 |
AF326545 | syntaxin binding protein 1 | 1.8 | ± | 0.4 |
NM_009005 | RAB7, member RAS oncogene family | 1.9 | ± | 0.9 |
AV339290 | RAB14, member RAS oncogene family | 2.2 | ± | 0.8 |
BB396668 | RAB6B, member RAS oncogene family | 2.1 | ± | 0.5 |
NM_019718 | ADP-ribosylation-like 3 | 1.8 | ± | 0.4 |
BF660710 | guanosine diphosphate (GDP) dissociation inhibitor 3 | 2.3 | ± | 0.8 |
nuclear mRNA splicing, via spliceosome | ||||
BC003745 | DEADH (Asp-Glu-Ala-AspHis) box polypeptide 15 | 1.9 | ± | 0.7 |
positive regulation of transcription | ||||
BB114677 | DEAD (aspartate-glutamate-alanine-aspartate) box polypeptide 5 | 2.0 | ± | 0.7 |
NM_007614 | catenin beta | 3.0 | ± | 1.1 |
protein targeting | ||||
AV209126 | signal recognition particle 14 kDa (homologous Alu RNA binding protein) | 3.9 | ± | 0.8 |
BB100384 | tyrosine 3-monooxygenasetryptophan 5-monooxygenase activation protein, zeta | 2.1 | ± | 0.6 |
AV124281 | tyrosine 3-monooxygenasetryptophan 5-monooxygenase activation protein, theta | 4.3 | ± | 1.2 |
NM_018871 | 3-monooxgenasetryptophan 5-monooxgenase activation protein, gamma polypeptide | 2.9 | ± | 0.8 |
BB106523 | tyrosine 3-monooxygenasetryptophan 5-monooxygenase activation protein, epsilon | 1.9 | ± | 0.9 |
AV021552 | tyrosine 3-monooxygenasetryptophan 5-monooxygenase activation protein, beta | 5.4 | ± | 0.3 |
Transcription | ||||
BB357514 | TSC22 domain family, member 1 | 5.1 | ± | 0.3 |
AF201285 | TSC22-related inducible leucine zipper 1b | 2.4 | ± | 0.4 |
BB462744 | retinoblastoma binding protein 4 | 3.3 | ± | 1.5 |
AV122231 | MORF-related gene X | 3.7 | ± | 1.2 |
AJ414734 | 53BP1 protein | 2.8 | ± | 1.3 |
regulation of progression through cell cycle | ||||
BC003856 | Protein phosphatase 2, catalytic subunit, α isoform | 1.8 | ± | 0.6 |
AW907805 | RAN, member RAS oncogene family | 2.4 | ± | 0.5 |
BB531646 | Protein phosphatase 2, regulatory subunit, α isoform | 6.4 | ± | 3.8 |
Miscellaneous | ||||
NM_133354 | SMT3 (supressor of mif two, 3) homolog 2 | 4.4 | ± | 0.7 |
NM_007694 | chromogranin B | 1.5 | ± | 0.7 |
BC002008 | fatty acid binding protein 5, epidermal | 5.5 | ± | 1.1 |
NM_030692 | SAC1 (supressor of actin mutations 1) | 1.7 | ± | 0.6 |
NM_021881 | quaking protein | 2.4 | ± | 1.1 |
NM_008907 | peptidylprolyl isomerase A | 2.9 | ± | 0.9 |
NM_053076 | reticulon 3 | 4.9 | ± | 1.3 |
AV028400 | poly(A) binding protein, nuclear 1 | 2.8 | ± | 1.0 |
AK016567 | glycoprotein m6b | 2.0 | ± | 1.0 |
BB381966 | integrator complex subunit 6 | 4.3 | ± | 1.0 |
NM_008248 | histidine triad nucleotide binding protein 1 | 6.3 | ± | 0.9 |
BB005298 | prolyl endopeptidase | 3.1 | ± | 1.5 |
AV006122 | N-myc downstream regulated gene 4 | 6.7 | ± | 0.8 |
NM_024166 | coiled-coil-helix-coiled-coil-helix domain containing 2 | 8.9 | ± | 1.1 |
NM_145942 | 3-hydroxy-3-methylglutaryl-Coenzyme A synthase 1 | 6.1 | ± | 0.4 |
AW742814 | methionine aminopeptidase 2 | 1.7 | ± | 0.5 |
BB274009 | protein kinase, cAMP dependent regulatory, type I beta | 3.3 | ± | 1.2 |
AV148646 | acetyl-Coenzyme A acetyltransferase 2 | 3.0 | ± | 1.5 |
BI438046 | ornithine decarboxylase antizyme | 4.3 | ± | 0.7 |
AV172168 | calponin 3, acidic | 2.2 | ± | 0.6 |
AV348702 | inositol (myo)-1(or 4)-monophosphatase 1 | 1.9 | ± | 0.3 |
BB168483 | chloride channel, nucleotide-sensitive, 1A | 2.3 | ± | 0.4 |
AA038464 | Nur77 downstream gene 2 | 1.8 | ± | 0.3 |
BB251922 | cyclic nucleotide phosphodiesterase 1 | 6.4 | ± | 0.3 |
AV207950 | phosphatidylethanolamine binding protein 1 | 5.0 | ± | 1.1 |
BB043450 | protein tyrosine phosphatase 4a1 | 4.9 | ± | 1.7 |
AV296285 | beclin 1 (coiled-coil, myosin-like BCL2-interacting protein) | 2.9 | ± | 0.3 |
NM_010490 | CCR4 carbon catabolite repression 4-like | 2.4 | ± | 1.1 |
NM_007756 | complexin 1 | 6.2 | ± | 2.3 |
BC001991 | selenoprotein P, plasma, 1 | 2.9 | ± | 0.6 |
BG967663 | creatine kinase, brain | 1.9 | ± | 0.5 |
AI987693 | gag protein | 4.5 | ± | 1.6 |
AV124445 | necdin | 4.0 | ± | 1.1 |
AV019984 | diazepam binding inhibitor | 2.7 | ± | 1.1 |
AV309418 | N-myc downstream regulated 1 | 2.8 | ± | 1.0 |
AV310432 | retinoblastoma binding protein 7 | 2.5 | ± | 0.8 |
BB722680 | heterogeneous nuclear ribonucleoprotein K | 4.9 | ± | 0.9 |
BM200248 | paternally expressed 3 | 3.0 | ± | 1.2 |
intensity index, the average of signal intensities on three arrays divided by 1,000; SD, standard deviations among three arrays.
These array results indicated that some mRNA species were more susceptible to oxidative damage, which is consistent with our previous observations in Alzheimer's brains [12] and cultured primary neurons under oxidative stress [13]. Thus, RNA oxidation is not random, but highly selective. The highly abundant mRNA species, β-actin and MAP2 have only very low level of mRNA oxidation, indicating selective mRNA oxidation was not due to the abundance of mRNA species. We also examined whether selective mRNA oxidation was due to the up-regulation of mRNA expression. Quantitative RT-PCR analysis revealed that those highly oxidized mRNA species, such as ribosome protein S6, cytochrome c oxidase Va, cytochrome c and MBP mRNAs, were not up-regulated in SOD1G93A spinal cords compared to non-transgenic spinal cords (Fig. 4B). However, the up-regulation could exist within specific cell types, e.g. motor neurons.
The above described 15A3 immunofluorescent staining (Fig 2) indicated that at pre-symptomatic stage, increased RNA oxidation primarily occurred in motor neurons and oligodendrocytes, not in astrocytes and microglia. The array results showed that glial cell specific mRNA species such as excitatory amino acid transporter 2 (EAAT2) and glial fibrillary acid protein (GFAP) mRNAs, which are very abundant in the glial cells, were not present in the oxidized mRNA pool. This indicates the specificity of the identified oxidized mRNA species.
Some proteins corresponding to oxidized mRNA species are decreased
Our previous studies demonstrated that oxidative modification of mRNA causes reduced protein expression [11], [12]. We examined protein expression levels for the oxidized mRNA species. Since the oxidized mRNAs primarily occur in motor neurons, which are small portion of total spinal cord cell population, immunoblot analysis was not sensitive enough to detect the change, so immunofluorescent staining was performed. The results showed that some proteins, whose mRNAs were highly oxidized, were significantly decreased in the motor neurons of 60 day-old SOD1G93A lumber spinal cords, such as cytochrome c oxidase VIb (Fig. 5A, Cox VIb) and NADH-ubiquinol oxidoreductase subunit 39 kDa (Fig. 5B, NADH oxi). On the other hand, the neuronal glutamate transporter EAAT3, whose mRNA was not oxidized, was not decreased. Further, the white matter oligodendrocytes also showed significant mRNA oxidation in SOD1G93A mice (Fig. 2). MBP, whose mRNA was oxidized, was decreased as determined by immunoblotting (Fig. 5C). These results suggested that some proteins corresponding to oxidized mRNA species may be decreased.
Vitamin E reduces mRNA oxidation in SOD1G93A mice
We investigated whether mRNA oxidation contributes to motor neuron degeneration. We first tested if vitamin E would reduce mRNA oxidation. SOD1G93A mice were orally fed with vitamin E (200 IU/day per mouse, 5 days/week) at the age of 30-days (n = 3 per group). The dosage of vitamin E was chosen based on high dose vitamin E therapy in ALS patients [24]. After 30 days of treatment (at age of 60-day), lumbar spinal cords were harvested for analysis. Immunofluorescent staining (Fig. 6A) and immunoprecipitation analysis (Fig 4A, compared G93A with G93A+vitE in oxidized mRNA pool) revealed that mRNA oxidation level was significantly decreased in the treated mice. The protein expression levels for cytochrome c oxidase VIb, NADH-ubiquinol oxidoreductase subunit 39 kDa and myelin basic protein were partially restored in the treated mice when compared to the non-treated mice (data not shown). These results indicated that vitamin E treatment can reduce mRNA oxidation in SOD1G93A mice.
Reduced mRNA oxidation by vitamin E delays disease onset, and improves motor performance, but does not change survival
mRNA oxidative damage occurs at an early age of mice (Fig. 2), but significant protein, lipid and DNA oxidative damage does not occur until active disease progression stage [25]–[27]. Thus, any protective effects by vitamin E in the early symptomatic stage may be primarily due to reduced mRNA oxidation. We next investigated if the reduction of mRNA oxidation by vitamin E would delay the progression of ALS. The SOD1G93A mice were orally fed with vitamin E starting at the age of 30-days until they reached the end stage of disease. Motor performance was monitored by measuring grip strength. We found there was a 23% decline in grip strength in the non-treated mice (n = 17) but only an 8% decline in the treated mice at 90 days (n = 17); there was a 60% decline in the non-treated mice and a 40% decline in the treated mice at 110 days (Fig. 6B). The cumulative probability of onset, as defined by the grip strength deficit, was significantly delayed (by ∼15 days, p<0.01) in the treated mice (106±6.1 days), compared to the non-treated mice (91±4.3 days) (Fig. 6C). However, the mean life span was not significantly different between the treated mice (123±7.6 days, n = 12) and the non-treated mice (122±7.3 days, n = 13) (Fig. 6D). The disease duration, defined as the period from the time of 50% decline in grip strength to the time of death, was significantly shortened in the treated mice (10±4.8 days), compared to the non-treated mice (17±6.6 days, p<0.01) (Fig. 6E). These results indicated that decreased mRNA oxidation by vitamin E can delay disease onset, which is consistent with the previous study by Gurney et al. [28].
Reduced mRNA oxidation by vitamin E delays the progressive loss of motor neurons, ubiquitin aggregation, and gliosis, and significantly reduces mitochondria vacuolization in motor neurons
One striking observation in the above onset study (Fig. 6) was that at the age of 100 days, the non-treated mice exhibited grip strength deficit and were sick while the treated mice still had normal motor performance and remained active. However, between 110 and 120 days of age, the treated mice developed onset rapidly and died within a similar age range as the non-treated mice. We therefore decided to examine the pathological changes at 100 days and 120 days of age. To examine the numbers and morphology of the motor neurons, we performed cresol violet staining on the lumbar spinal cord sections from non-treated and treated mice (n = 3 per group). The results showed that at 100 days of age, numerous of motor neurons were lost in the non-treated mice, and the remaining motor neurons were atrophic. In contrast, there was less motor neuron loss in sections from the treated mice, and the motor neurons were healthier in appearance, compared to the non-treated mice (Fig. 7A). However, at 120 days of age, there was no obvious difference between treated and non-treated mice samples, in that the majority of motor neurons had degenerated (not shown). We also performed toluidine blue staining (Fig. 7B), and the results were consistent with the cresol violet staining results. Importantly, there was significant vacuolization in the non-treated mice and only a slight vacuolization in the treated mice at 100 days of age. These results clearly indicated that vitamin E can reduce mRNA oxidation, restore protein expression level and partially protect motor neurons up to 100 days of age. Notably, significant protein oxidation [25], lipid peroxidation [26] and DNA oxidation [27] occurs at active disease progression stage; thus, the observed protective effects by vitamin E are primarily due to reduction of RNA oxidation.
We examined the effects of vitamin E on the occurrence of the following events associated with SOD1G93A mice: gliosis, ubiquitin aggregation, and mitochondria vacuolization. At 100 days of age, both GFAP immunostaining, a marker for reactive gliosis, and ubiquitin immunostaining, a marker for protein aggregation, were significantly reduced in the treated mice, compared to the non-treated mice (Fig. 7B). However, at 120 days of age, no obvious difference was observed (not shown), suggesting that these are probably secondary events to motor neuron degeneration. Further, we performed electron microscopy to examine mitochondrial morphology of motor neurons. As shown in Figure 7C, severely swollen mitochondria with disorganized and dilated cristae were observed in the motor neurons of 75 day-old SOD1G93A mice. Significantly, the treated mice exhibited mostly normal mitochondrial morphology at 75 days, and even at 102 days, the mitochondria only slightly vacuolated, and the cristae were clear (not severely damaged). These results suggest that mitochondria vacuolization may be highly associated with RNA oxidation. One important result supporting this possibility is that, as described above, many mRNAs encoding proteins involved in mitochondrial functions were highly oxidized (Table 1).
Discussion
In the present study, we found that mRNA oxidation is a common feature in ALS patients and mutant SOD1 transgenic mice and also an early event preceding motor neuron degeneration. This study suggests that mRNA oxidation may contribute to motor neuron deterioration in ALS.
We used 15A3 antibodies to separate oxidized mRNAs from non-oxidized mRNAs and subsequently quantified and identified oxidized mRNAs. The specificity of 15A3 antibody is very important. This was validated by including the no antibody control and the 8-OHG-blocked antibody control in each experiment. In addition, we analyzed the 15A3-precipitated mRNAs by HPLC-ECD (high-performance liquid chromatography coupled with electrochemical detection) and confirmed that the mRNAs recognized by 15A3 contained high levels of 8-OHG. This indicates that the isolated/detected mRNAs were oxidized mRNAs.
In the ALS postmortem tissues study (Fig. 1), we found that mRNAs are oxidatively damaged to a variable extent in ALS patients. Interpretation of human postmortem tissue pathological changes is difficult, since postmortem tissue represents the very end stage of the neurological disease and reflects the cells that remain but not necessarily those that are at risk. The mutant SOD1 mice studies provide the valuable information of the role of RNA oxidation in ALS. From the results of the SOD1G93A mice study, we speculate that significantly increased mRNA oxidation may occur in the motor neurons and oligodendrocytes of ALS-affected areas at the prodromal stage. This may contribute to neuronal deterioration and in combination with other toxicities eventually leading to motor neuron degeneration.
Previous studies in SOD1G93A mice showed that significant increases in lipid, protein and DNA oxidation occurs during symptomatic stage [25]–[27]. We found that mRNA oxidation occurs as early as 45 days, progressively increases with age, until it peaks at 60–70 days of age, and then diminishes when the motor neurons begin to degenerate (Fig. 2). Those motor neurons showing RNA oxidation appear to be still healthy as judged by the nuclear and chromatin morphology and mitochondrial morphology (Fig. 3). These results indicate that mRNA oxidation is an early event.
RNA oxidation primarily occurs in motor neurons and oligodendrocytes at pre-symptomatic stage (Fig. 2). This indicates that both cell types are more vulnerable to RNA oxidation. Like neurons, oligodendrocytes are highly vulnerable to injury by oxidative stress [29]. Oligodendrocytes, compared to other cells, have a high lipid content, high iron content, and low supplies of cellular antioxidant [30].
Increased mRNA oxidation also occurs in the pre-symptomatic stage of mice expressing other mutant SOD1 (Fig. 1E). Mutant SOD1G37R, like SOD1G93A, retains full dismutase activity [31]. Both SOD1G85R and SOD1G127X lack dismutase activity and are unstable [32], [33]. Mutant SOD1 H46R/H48Q possesses little or no SOD1 activity [34]. The protein levels of mutant SOD1 in these mice are different: SOD1G93A, SOD1G37R, SOD1G85R and SOD1G127X mice express 17-, 5-, 0.9- and 0.45-fold human mutant SOD1 of mouse wild type SOD1, respectively [20]. This suggests that increased RNA oxidation is a common feature in these ALS mouse models and has nothing to do with SOD1 activity or mutant SOD1 expression level. What could be the possible mechanism underlying ROS formation in these mutant SOD1 mice? We would like to propose one possible mechanism. Ferri et al. have demonstrated that one common property of different FALS-mutant SOD1s with widely differing biophysical properties is the association with mitochondria to a much greater extent than wild-type SOD1 [35]. Mutant SOD1 proteins associated with the mitochondria tend to form cross-linked oligomers and impair mitochondrial function, which could lead to increased ROS formation.
Identification of oxidized mRNA species by DNA microarray revealed that some mRNA species are more susceptible to oxidative damage, which was also observed in our previous studies [11], [12]. The phenomenon of selective RNA oxidation was not related to the abundance of mRNA species or the up-regulation of mRNA expression. No common motifs, sequences or structures were found in oxidized mRNA species at this time. Several possible mechanisms are currently under investigation.
A very striking finding in this study is that many identified known oxidized mRNAs are related to ALS: (1) mRNAs corresponding to genes linked to familial ALS or ALS-like human motor neuron disease, including SOD1, dynactin 1, and vesicle-associated membrane protein 1 (VAMP) mRNAs. A missense mutation in the p150 subunit of the dynactin (DCTN1) gene has been described in a human kindred with a slowly progressive, autosomal dominant form of lower motor neuron disease [36], [37]. A dominant missense mutation in the VAMP-B gene (ALS8) has been linked to an atypical ALS that is accompanied by an unusual tremor [38]. VAMP-B interacts with VAMP-A involving in vesicular trafficking [39]. (2) mRNAs encoding neurofilament subunits. The genes encoding three neurofilament subunits have long been suspected as causative for ALS because of their link with motor neuron pathology in mice and humans [40]. (3) mRNAs encoding proteins involved in protein folding and degradation. Reduction of proteasome 26S function and protein chaperone activities have been found in SOD1G93A transgenic mice [41], [42]. Impaired function of protein folding and degradation pathway can lead to protein aggregation, one of hallmarks of ALS. (4) mRNAs encoding proteins involved in the mitochondrial electron transport chain (ETC). Dysfunction of mitochondrial ETC has been previously found in SOD1G93A mice and ALS patients [43], [44]. It is possible that mRNA oxidation is responsible for the observed dysfunction and also the mitochondria vacuolization (Fig. 7C). (5) mRNAs encoding proteins involved in glycolysis and tricarboxylic acid (TCA) cycle. Depleted ATP levels and reduction of glucose use have been reported in spinal cords of SOD1G93A mice at pre-symptomatic stage [45]. Abnormal glycolysis and TCA process combined with mitochondrial electron transport chain dysfunction could result in ATP synthesis impairment. (6) mRNAs encoding metallothioneins. Metallothioneins, known to bind copper ions and decrease oxidative toxicity, have been suggested to have important roles in the pathophysiology of ALS [46]–[48]. (7) mRNAs encoding proteins involved in protein transport. Defective axonal transport has been found to cause late-onset progressive degeneration in transgenic mice [49]. Dominant point mutations in dynein causing motor neuron disorders have been found in both ALS patients and mouse models [37]. (8) mRNAs encoding proteins involved as structural constituents of myelin sheath, including MBP, proteolipid protein (PLP) and myelin-associated oligodendrocytic basic protein (MOBP). MBP was reported to be related to axon degeneration [50]. MBP protein level is significantly decreased in ALS spinal cords [51]. We show that MBP protein is significantly decreased in the presymptomatic stage of SOD1G93A spinal cords (Fig. 5C). mRNA oxidation may be responsible for loss of MBP protein. Myelin sheaths contribute to the structure and stability of the axons [52]. Abnormally expressed myelin proteins may affect axon stability and contribute to axon degeneration.
We examined protein expression levels for the oxidized mRNA species and found that some proteins corresponding to oxidized mRNA species are decreased (Fig. 5). Our previous studies demonstrated that oxidized bases in mRNAs can cause ribosome stalling on the transcripts, leading to decreased protein expression [13]. A recent study [14] demonstrates that oxidized mRNA induces translation errors, producing short polypeptides because of premature termination or translation error-induced degradation.
Does mRNA oxidation contribute to the pathogenesis of the disease? We approached this question by treating SOD1G93A mice with vitamin E. As mentioned above, RNA oxidation occurs at an early age of mice, but significant protein, lipid and DNA oxidations do not occur until active disease progression stage [25]–[27]; thus, the protective effects by vitamin E in the early symptomatic stage may be primarily due to reduced mRNA oxidation. Four observations strongly support that mRNA oxidation does contribute to the disease. First, the protein expression levels for the oxidized mRNA species are decreased (Fig. 5). Second, the vitamin E treated mice still had normal motor performance and were still active at the age of 100 days while the non-treated mice were already sick (Fig. 6). The treated mice developed onset rapidly between 110 and 120 days and died within a similar age range as the non-treated mice. This is probably because reduced mRNA oxidation by vitamin E partially diminishes toxicity in motor neurons, but toxicities from other non-neuronal cells are still present. Third, reduced mRNA oxidation by vitamin E significantly reduces mitochondria vacuolization in motor neurons (Fig. 7C). Finally, many identified known oxidized transcripts are related to ALS. RNA oxidation may account for many neuropathological changes reported previously.
Dietary supplement with vitamin E is widely used in the clinical as an antioxidant for ALS patients. Although in previous studies vitamin E did not prolong survival of ALS patients [24], Ascherio et al. found that those individuals who took vitamin E supplements for 10 years had less than 50% risk of death from ALS than that of vitamin E nonusers [53]. These studies support our observations in SOD1G93A mice that RNA oxidation is an early event and contributes to motor neuron degeneration. Thus, blocking RNA oxidation at prodromal stage may prevent/slow the disease progression; however, at the disease stage, the antioxidant treatment may be already too late so there is no significant beneficial effect.
Methods
ALS tissues
ALS brain and spinal cord tissues were obtained from the Johns Hopkins ALS Brain Bank. Postmortem delays for autopsy were 7.3±0.8 hr. Pathological confirmation of ALS was made on all specimens by standard histological evalution of spinal cord and motor cortex, with use of hematoxylin and eosin to evaluate motor neuron loss, and with myelin stains (Luxol-fast blue) to establish corticospinal tract degeneration.
Animal model
All animal experiments were performed at Ohio State University under national and institutional guidelines using protocols approved by the the Animal Care & Use Committee of Ohio State University. Human SOD1G93A transgenic mice (B6SJL-Tg [SOD1-G93A] 1Gur with high copy number of the mutant human SOD1 gene) and human wild-type SOD1 transgenic mice (B6SJL-Tg [SOD1-G93A] 2Gur) were purchased from Jackson Laboratory (Bar Harbor, ME). Adult same gender mice were housed 5 per cage, under 12 h dark/light cycles. Transgene was determined by PCR using genomic DNA extracted from tail biopsies. From the time when transgenic mice showed motor deficits, food and water were placed on the cage floor. Transgenic animals were killed when they can not right themselves within 30 sec.
Tissue collection and RNA isolation
After decapitation, spinal cords were removed and dissected rapidly. The samples were placed in individual tubes and homogenized in 1 ml of Trizol reagent (Invitrogen, Carlsbad, CA). RNA isolation was performed according to the manufacturer's protocol. After DNase I (Invitrogen) treatment, poly(A)+ RNAs were isolated using the Oligo-tex mRNA Purification Kit (Qiagen Inc., Valencia, CA).
Immunohistochemistry
Mice were perfused transcardially with 4% paraformaldehyde after being deeply anesthetized with tribromoethanol (Avertin; 200 µl/10 g intraperitoneally). The brains and spinal cords were rapidly removed and cryoprotected with 20% sucrose for 24 h. The sections were blocked in 8% normal goat serum (NGS; Vector Laboratories, Burlingame, CA) and 0.1% Triton X-100 in Tris-buffered saline (TBS) for 60 min and incubated in primary antibody solution overnight at 4°C. After thorough washing with TBS, the sections were then incubated with secondary antibody in TBS containing 2% NGS for 60 min at 4°C followed by thorough washing with TBS. The following primary antibodies were used in this study: rabbit anti-ubiquitin pAb (1∶50, Santa Cruz Biotechnology, Inc., Santa Cruz, CA ), mouse anti-8-OHG mAb (1∶250, QED Bioscience, San Diego, CA), rabbit anti-EAAT3 pAb (1∶1000), mouse anti-NADH-ubiquinol oxidoreductase 39 kDa Subunit, (1∶2000, Molecular Probes, Carlsbad, CA), mouse anti-cytochrome c oxidase VIb Subunit (1∶750, Molecular Probes). Images were obtained using a Zeiss Axioskop 2 upright microscope and AxioVision software.
Tissue preparation and Electron microscopy
Mouse spinal cords were initially fixed by intracardiac perfusion with a solution of 0.1% sodium phosphate (pH 7.6), 4% paraformaldehyde, and 2.5% glutaraldehyde, and postfixed in 1% osmium tetroxide, and embedded in Eponate 12 (Ted Pella, Redding, CA). One-micrometer sections were stained with toluidine blue. Motor neurons were identified by their large size (>20 µm) and distinct nuclear morphologies in the ventral horn of the lumbar cord.
Cresyl violet staining and motor neuron counts
For motor neuron counting, the L5 lumbar spinal cords were sectioned at 20 µm with a Microm cryostat at −25°C. Every fifth section was stained with 0.1% (w/v) cresyl violet solution. Motor neurons in the ventral horn were quantified by counting large pyramidal neurons that stain with cresyl violet and possess a prominent nucleolus. 14 sections of spinal cord were counted per mouse, and the analysis was performed blindly. Three animals per genotype were analyzed.
Immunoprecipitation
Poly(A)+ RNAs (1.5 µg) were incubated with 1.5 µg of anti-8-OHG antibody (15A3) at room temperature for 4 hr. For negative controls, the primary antibody was omitted or pre-incubated with 24 ng/µl of 8-OHG (Cayman Chemical, Ann Arbor, MI). Immobilized Protein L gel beads (20 µl) (Pierce, Rockford, IL) were added and incubated at 4°C for an additional 15 hr. The beads were washed three times with PBS and 0.04% (v/v) NP-40 (Roche Applied Sciences, Indianapolis, IN). Afterward, the following items were added in the following order: 300 µl of PBS with 0.04% NP-40, 30 µl of 10% (w/v) SDS, and 300 µl of PCI (phenol∶chloroform∶isoamyl alcohol, 25∶24∶1). The mixture was incubated at 37°C for 15 min (vortex every 5 min) and separated to aqueous phase and organic phase by spinning at 14,000 rpm for 5 min. The aqueous layer was collected and mixed with 40 µl of 3 M sodium acetate, pH 5.2, 2 µl of 5 mg/ml glycogen, plus 1 ml of 95% (v/v) ethanol. The sample was frozen at −80°C for 1 hr and centrifuged for 20 min. The pellet was washed with 75% ethanol, air-dried and then resuspended in 14 µl of DEPC-treated H2O.
cDNA synthesis and Southern blotting
Immunoprecipitated mRNAs were reversely transcribed using avian myeloblastosis virus (AMV) reverse transcriptase kit (Roche Applied Sciences). For 15 µl of reaction mixture, 7 µl of immunoprecipitate mRNAs and 1 µl (0.75 µg) of oligo-(dT) 24-T7 primer were mixed and incubated at 70°C for 10 min. After 2 min on ice, the master mix contained 7 µl of 5× first-strand buffer, 0.5 mM 2′-deoxynucleoside 5′-triphosphates [deoxy (d)-ATP, dCTP and dGTP], 0.13 mM 2′-deoxythymidine-5′-triphosphate, 0.03 mM digoxigenin-11-2′-deoxy-uridine-5′-triphosphate (Roche Applied Sciences), 2.5 U of RNase Inhibitor (Invitrogen), and 10 U of AMV reverse transcriptase. The mixture was incubated at 42°C for 90 min. cDNAs were resolved in 1% agarose gel and then transferred electrophoretically to a positively charged nylon membrane (Roche Applied Sciences) using the Trans-Blot SD semidry transfer system (Bio-Rad, Hercules, CA) according to the directions of the manufacturer. Digoxogenin labeled on cDNAs was detected with a Digoxogenin High Prime DNA Labeling and Detection Starter Kit II (Roche Applied Sciences).
Microarray hybridization
Preparation of cRNA was performed according to the Two-cycle cRNA amplification protocol provided by Affymetrix (Santa Clara, CA). The immunoprecipitated oxidized mRNA was converted to cDNA using AMV reverse transcriptase and a GeneChip T7-oligo(dT) primer 5′-GGCCAGTGAATTGTAATACGACTCACTATAGGGAGGCGG-(dT)24-3′(Affymetrix). For the first-cycle IVT amplification of cRNA, a MEGAscript T7 kit (Ambion Inc., Austin, TX) was used. The cRNA was purified and cleanup by using RNeasy mini kit (Qiagen). Each cRNA sample was synthesized from 2 independent biological samples. Biotin-labeled cRNA was synthesized from second-cycle cDNA using an IVT Labeling Kit (Affymetrix). The yield of the in vitro transcription reaction was determined by product absorbance at 260 nm measured by NanoDrop ND-1000 (NanoDrop Technologies, Inc., Montchanin, DE). Size of cRNA probes was evaluated by using RNA 6000 Nano LabChip Kit (Agilent, Palo Alto, CA, USA). Experion Automated Electrophoresis System was used to examine the quality of samples (Affymetrix). Fragmented cRNA (15 µg) was used for hybridization to GeneChip Mouse Genome 430 2.0 arrays (Affymetrix).
RT-PCR
Immunoprecipitated mRNAs were reversely transcribed with AMV reverse transcriptase (Roche) and Oligo-(dT)24 primer. PCRs were performed in the presence of 3 mM MgCl2, 0.2 mM dNTP, 0.25 µM primers and 2 U Taq DNA polymerase (Invitrogen) in 1× PCR buffer, with gene–specific primers, including Cu/Zn SOD1 F (5′-atggcgacgaaggccgtgtgcgt) and R (5′-ctggcaaaatacaggtcattgaaacagaca), MAP2 F (5′-ttggctcacttgacaatgctcacc) and R (5′-aatatgacacctgctcagagccca-3′), MBP F (5′-agcatgccttctgtagaccttcca) and R (5′-agtaggtgcttctgtccagccata), ribosomal protein S6 F (5′-tgatgtccgccagtatgttgtcag) and R (5′-tggcttccttcattcttggc), Cox Va F (5′-gacattgatgcctgggaattgcgt) and R (5′-ttacactttgtcaaggcccagctc), Cyc C F (5′-tgttcactggcctctttcaggtca) and R (5′-ccagttatgtgtgtttctgagtggg), PCM F (5′-aaagaacctgaaacagtgggagcc) and R (5′-ccaaatgtcacaatgaagggtggg). A series of cycles (25, 30, 35 cycles) was performed (95°C for 30 s, specific annealing temperature to each set of primers for 45 s, and 72°C for 1 min). PCR products were visualized as single bands on 1% agarose gels stained with ethidium bromide.
Immunoblotting
Immunoblotting was performed as described previously [54]. Briefly, protein extracts were generated from spinal cord, resolved by SDS-PAGE and transferred onto PVDF membranes. The following primary antibodies were used: rabbit anti-MBP pAb (1∶3000; Chemicon International, Inc, Temecula, CA), goat anti-β-Actin (1∶3000; Santa Cruz, CA). The immunoreactive bands were detected using the SuperSignal West Pico Chemiluminescent Substrate (Pierce Biotechnology, Rockford, IL) according to manufacturer's directions.
Vitamin E treatment
SOD1G93A transgenic (n = 32) mice were treated with vitamin E, and their littermates SOD1G93A (n = 32) and wild type mice (n = 32) were used as controls. Mice were orally fed with vitamin E (200IU/each for 5 day/week) from daily supplemental softgels (Meijer Distribution, INC., Grand Rapids, MI), and started at age of 30-days. The same gender littermates of wild type, G93A, and vitamin E-treated G93A transgenic mice were used to compare their onset, survival, and pathological changes, although no significant variation of onset and survival were detected between different genders.
Grip Strength
An objective assessment of neuromuscular performance was obtained by measuring peak force generated using a Digital Grip Strength Meter outfitted with a Hind Limb Pull Bar Assembly (Columbus Instruments). Five repetitions were taken and the average was determined for each mouse. The examiner was unaware of the genotypes of the mice during measurement. Once each litter of mice reached the age of 70 days, the grip strength was measured twice a week, on the same day of each week and at the same time of each scheduled day (within 2 h).
Statistical analysis
The quantitative data in this study were expressed as the mean±SEM. Statistical analysis was performed using the unpaired Student's t-test.
Acknowledgments
We wish to thank Drs. Chandan Sen and Leni Moldovan for suggestions and technical supports for Microarray, Drs. Yeong-renn Chen, Tony Brown and Phillip Popovich for antibodies, Drs. Georgia A. Bishop and James S. King for access to the cryostat, Dr. Richard W. Burry and Ms. Kathy Wolken for access to the electron microscope, and Dr. James R. Van Brocklyn for reviewing the manuscript.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: This work was supported by ALS Association, NIH (grant AG17317), and the Neuroscience Education and Research Foundation.
References
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