Abstract
McArdle disease is an autosomal recessive disorder caused by the absence of the muscle glycogen phosphorylase, which leads to impairment of glycogen breakdown. The McArdle mouse, a model heavily affected by glycogen accumulation and exercise intolerance, was used to characterize disease progression at three different ages. The molecular and histopathological consequences of the disease were analyzed in five different hind-limb muscles (soleus, extensor digitorum longus, tibialis anterior, gastrocnemius and quadriceps) of young (8-week-old), adult (35-week-old) and old (70-week-old) mice. We found that McArdle mice have a high perinatal and post-weaning mortality. We also observed a progressive muscle degeneration, fibrosis and inflammation process that was not associated with an increase in muscle glycogen content during aging. Additionally, this progressive degeneration varied among muscle and fiber types. Finally, the lack of glycogen content increase was associated with the inactivation of glycogen synthase and not with compensatory expression of the Pygl and/or Pygb genes in mature muscle.
Introduction
McArdle disease (glycogen storage disease V; myophosphorylase deficiency; OMIM database number ♯232600; ORPHA: 368) is an autosomal recessive disorder caused by pathogenic mutations in the gene (PYGM) encoding the muscle isoform of glycogen phosphorylase (GP-M, also known as myophosphorylase)1,2. GP-M initiates the breakdown of muscle glycogen, leading to the release of glucose-1-phosphate in muscle fibers. Patients are unable to obtain energy from their muscle glycogen stores3, and present with exercise intolerance, usually in the form of reversible, acute crises of early exertional fatigue and contractures that can also be accompanied by rhabdomyolysis, as reflected by marked increases in serum levels of creatine kinase (CK) or even myoglobinuria (‘dark urine’)4,5. Naturally occurring or laboratory-generated animal disease models allow performing mechanistic studies that provide insights into the pathophysiology of a disorder. In this context, a knock-in McArdle mouse model with the most common PYGM pathogenic mutation (p.R50X) mutation was developed by our group6. The McArdle mouse mimics the phenotype found in patients, characterized by hyperCKemia, myoglobinuria, and poor exercise performance6. Glycogen levels in muscle of the mouse McArdle model are elevated several fold more than found in people with McArdle disease6. Several studies have been performed in the McArdle mouse model, analyzing the disease phenotype in young (8-week-old)6–9 or adult mice (20-week-old)10–12. In these studies, it was observed that muscle contractions were affected by structural degeneration due to glycogen accumulation and that glycolytic muscles fatigued prematurely10. Additionally, histological differences among glycolytic muscles were shown, as tibialis anterior (TA) muscles were invariably more damaged than quadriceps muscles, likely as a result of higher levels of glycogen metabolism in TA compared to quadriceps10. With respect to metabolic adaptive responses, quadriceps from McArdle mice presented significant changes in protein levels involved in glucose metabolism, while distal muscles such as TA, extensor digitorum longus (EDL) and soleus showed barely any change11. Additionally, differential structural damage was also observed among fiber types; while type I/IIa, IIa, IIa/IIx and IIx fibers from hind limb muscles presented evident signs of degeneration, type I fibers remained largely unaffected10. As disease phenotype progression and its molecular consequences during the aging process remain largely unknown, in the present study we wanted to perform a longitudinal characterization of the McArdle mouse model to determine if the massive glycogen accumulation in myofibers (i) increased with aging and (ii) caused progressive and differential increase in muscle and fiber type degeneration. Therefore, we analyzed and characterized the molecular and histopathological consequences of aging in five different hind-limb muscles [soleus (oxidative), and EDL, TA, gastrocnemius and quadriceps (glycolytic muscles)] from three cohorts of mice aged 8, 35 and 70 weeks. Furthermore, as we have previously observed an unusually high mortality of McArdle mice10, we also wanted to analyze the survival rate of these mice throughout their life-span.
Material and Methods
Ethical approval
All experimental procedures were approved by the Vall d’Hebron Institutional Review Board (protocol number 13/04 CEEA; 35/04/08) and were conducted in accordance with the European Convention for the Protection of Vertebrate Animals used for Experimental and Other Scientific Purposes (ETS 1 2 3) and Spanish laws (32/2007 and R.D. 1201/2005).
Mice
Previously developed p.R50X/p.R50X knock-in McArdle mice, back-crossed for 10 generations to C57/6 J background, were used in this study6,7. To test for disease progression, three cohorts of mice aged 8, 35 and 70 weeks were used. All cohorts had N = 12 both for wild-type (WT) and McArdle (McA) mice, with the exception of 70-week-old McA mice where the number of studied mice were 6. All mice were killed by cervical dislocation immediately before dissection of the hindlimb muscles soleus, gastrocnemius, EDL, TA and quadriceps.
Genotyping
Genotyping was performed for all post-weaning mice of the colony born between 01/01/2013 and 05/08/2018 (n = 2,088) and 38 embryos (E 14.5) according to a protocol previously described6.
Survival curve
The survival curve was calculated for all the genotyped post-weaning mice of the colony that were born between 01/01/2013 and 05/08/2018 (n = 2,088). The Kaplan-Meier survival function, also known as the product-Limit estimator was used13. For each mouse, the following data were entered (GraphPad Prism version 6.00 for Windows, GraphPad Software, La Jolla, CA, www.graphpad.com): 1) X-values: time (number of days alive until an event or censoring occurred); 2) Y-values: Y value is “1” when the mouse died at the specified time, and “0” when the mouse’s data was censored at that time.
Histology and immunohistochemistry
Dissected muscles were flash frozen in isopentane cooled in liquid nitrogen and stored at −80 °C until analysis. Twelve μm cryosections were stained with hematoxylin and eosin (H&E) for general histopathological evaluation as previously described6. Glycogen content was analyzed with periodic acid–Schiff (PAS) staining by sequentially incubating the sections with: periodic acid (Fisher Scientific; Hampton, NH) (0.5%) for 5 min, water wash, Schiff’s solution (Merck-Millipore, Burlington, MA) for 15 min, water for 1 min, alcohol-xylol dehydration and DPX mounting (Sigma-Aldrich, St. Louis, MO)6. For immunohistochemistry, sections were fixed in 10% buffered formalin (Sigma-Aldrich) and subsequently blocked in buffer (3% fetal calf serum in PBS) prior to staining. For damage, regeneration, inflammatory, fibrosis, and fiber type overview and analysis, sections were stained with their corresponding antibodies (see Supplementary Table). Finally, sections were stained with 4′,6-diamidino-2-phenylin- dole (DAPI) nucleic acid stain reactive (Invitrogen; Carlsbad, CA), for 5 min and mounted with ProLongTM Gold Antifade reagent (Molecular probes; Eugene, OR). Images were taken using a FSX100 fluorescence microscope and the software FSX-BSW (Olympus; Tokyo, Japan).
Central nuclei quantification
For the assessment of centrally nucleated fibers (CNF), sections were stained for laminin (for antibodies, see Supplementary Table) to distinguish individual muscle fibers and DAPI to visualize the nuclei. Total and CNF were counted manually, and the results were recorded using the cell counter plug-in from the image J software 1.37 version (NIH; Roth Bethesda, MO). Between 491 and 5,079 fibers (median 1682 fibers) from at least three different mice were counted per age and genotype. Results were expressed as the mean percentage of CNF per muscle. For enhanced visualization of nuclei staining surrounding the sarcoplasmic membrane [(peripheral nuclei (PN)], laminin-DAPI staining images were opened in TIFF format with the Adobe Photoshop program (Adobe® Photoshop® CS5 extended v.12.0, San Jose, CA, USA) and tone- and saturation-adjusted.
Fiber size determination
Fiber size was calculated from laminin-DAPI stains using the minimal Feret’s diameter (Image J software ver. 1.37) to attain the fiber size least influenced by sample sectioning angle14. Between 240 and 1,444 fibers (median 459 fibers) from at least three different mice were counted per age and genotype.
Fiber type staining and quantification
To identify individual and mixed fiber types, immunostains were made as triple stains for myosin heavy chain (MHC)I/MHCIIA/DAPI, MHCIIA/MHCIIX/DAPI, and MHCIIX/MHCIIB/DAPI (for antibodies, see Supplementary Table). The different fiber types were counted manually. Between 50 and 980 fibers (median 505 fibers) from at least three different mice were counted per age, genotype and fiber type. The results were recorded using the cell counter plug-in as described above and expressed as the percentage of (i) fiber types per muscle, and (ii) CNF per fiber type. For metabolic analyses, type I, IIa and I/IIa were grouped as oxidative fibers, while type IIx, IIa/IIx and IIx/IIb as glycolytic fibers15. The results were expressed as the percentage of each group relative to total number of fibers counted.
mRNA analysis
Total RNA was obtained from gastrocnemius muscle as previously described16 following the manufacturer instructions of TRIzol (Invitrogen). RNA was treated with DNase I, amplification grade (Invitrogen) to eliminate any traces of DNA. Complementary DNA was synthesized from RNA using the high-capacity complementary DNA archive kit (Applied Biosystems, Foster City, CA), which uses random primers. We used real-time PCR, with TaqMan fluorogenic probes in a 7900 Real-Time PCR System (Applied Biosystems) to assess gastrocnemius RNA levels of: (i) Pygm gene (Mm00478582_m1); (ii) glycogen phosphorylase, brain isoform (Pygb) gene (Mm00464080_m1); and (iii) glycogen phosphorylase, liver isoform (Pygl) gene (Mm00500078_m1). Results were normalized to peptidylprolyl isomerase A (cyclophilin A, Ppia) gene messenger RNA levels (probe Mm02342430_g1).
Western blot analysis
Muscle samples from gastrocnemius and TA were homogenized using Pellet pestles Cordless motor (Sigma-Aldrich) in cold homogenization buffer (Tris-Hcl 20 mM, NaCl 150 mM and Triton X100 1%) and centrifuged at 10,000 g for 10 min at 4 °C. Proteins (30 μg) were resolved on CriterionTM TGXTM 4–15% Precast Midi gels (Biorad; Hercules, CA) at 150 V for 90 min and blotted to a polyvinylidene difluoride membrane (Immun-Blot® PVDF membrane, Biorad) using the Trans-Blot® SD Semi-dry Transfer Cell (Biorad) at 20 V for 50 min. Membranes were incubated in primary antibodies overnight at 4 °C and in secondary antibodies for 3 hours at room temperature (Supplementary Table). Ponceau S staining (Sigma-Aldrich) was used as a loading control for all the membranes. Membranes were developed with Immobilon Western Chemiluminiscent HRP Substrate (Merck-Millipore) and images obtained with a Fujifilm LAS 3000 imager (R&D Systems; Minneapolis, MN) and quantified with Image J, version 1.37.
Muscle glycogen
One hundred and fifty mg of tissue were boiled for 30 min with 30% KOH and, subsequently, 1.2 volumes of 95% ethanol were added to precipitate glycogen. After a centrifugation step (25 min at 840 g), the glycogen pellet was resuspended in 0.3 ml of water. Next, 0.1 ml of 5% phenol was added to 0.1 ml of sample and treated with 0.5 ml of H2SO4 (to hydrolyze glycogen to glucose). The mixture was allowed to stand for 30 min at room temperature and the glucose released was measured spectrophotometrically at 490 nm. A standard curve made with glycogen purified from rabbit liver (Sigma-Aldrich), ranging from 0.1 to 0.8 mg mL−1, was processed in parallel. The results were expressed as mg glycogen (g wet tissue)−1,17.
Statistics
All statistical analyses were performed using the GraphPad Prism software. To analyze the aging effects on muscle fiber size determination (mFd), as well as the number of mice per litter in the colony breeding (normally distributed values), One-Way ANOVA with post-hoc Tukey Honestly Significant Difference (HSD) test was applied. To analyze the aging effects when values were not normally distributed (% CNF, % MHCe+, % fiber types, PN per fiber, glycogen content, mRNA and protein relative levels), the non-parametric Kruskal-Wallis One-Way ANOVA with multiple comparisons test (Dunn’s test) was used. To analyze the genotype effects in normally distributed values, a Student t-test was applied, whereas the non-parametric Mann-Whitney U-test was used when values were not normally distributed. To evaluate the distinct survival rates of each genotype (Kaplan- Meier curve), the log-rank (Mantel-Cox) test was used. To compare obtained versus expected mouse genotypes we used the Fisher’s exact test (two-group comparisons, i.e., WT x HTZ and HTZ x McA breedings) or the Chi-square test (three-group comparisons, i.e., HTZ x HTZ breedings).
Results
Perinatal mortality
During the period from January 2013 to May 2018 a total of 139 matings of the McArdle mouse model colony were performed. From these, 19 were wild-type (WT) x heterozygous (HTZ), 47 HTZ x HTZ, 64 McArdle (McA) x HTZ and 9 McA x McA matings, resulting in a total of 583 litters and 2,227 mice [1,133 males (51%) and 1,094 females (49%)] (Table 1). The number of offspring was significantly different among the distinct matings, showing that a higher presence of the mutant p.R50X allele in parents significantly reduced the number of mice per litter in the offspring (Table 1); additionally, the presence of the p.R50X allele in parents was also associated with an increased percentage of litters with a 100% mortality (Table 1). Furthermore, when the offspring mice originating from HTZ x HTZ and McA x HTZ matings were genotyped we observed a clear decrease in the proportion of McA offspring compared to the expected 25% and 50%, respectively, from Mendelian inheritance (Table 2). Genotyping of 38 embryos originating from HTZ x HTZ mating demonstrated a normal Mendelian distribution of McA mouse embryos (Table 2). These results suggest that McA mice have high perinatal mortality.
Table 1.
Breedings (2013–2018) | ||||||||
---|---|---|---|---|---|---|---|---|
WT x HTZ | HTZ x HTZ | McA x HTZ | McA x McA | Statistics | Total | |||
WT (M) x HTZ (F) | HTZ (M) x WT (F) | HTZ (M) x HTZ (F) | McA (M) x HTZ (F) | HTZ (M) x McA (F) | McA (M) x McA (F) | |||
Total number of breedings | 9 | 10 | 47 | 58 | 6 | 9 | N.A | 139 |
Total number of litters | 17 | 41 | 273 | 179 | 43 | 30 | N.A | 583 |
Total number of mice | 103 | 189 | 1149 | 617 | 130 | 39 | N.A | 2227 |
Total number of males | 45 | 102 | 578 | 325 | 64 | 19 | N.A | 1133 |
% of males | 43,7 | 54,0 | 50,3 | 52,7 | 49,2 | 48,7 | N.A | 50,9 |
Total number of females | 58 | 87 | 571 | 292 | 66 | 20 | N.A | 1094 |
% of females | 56,3 | 46,0 | 49,7 | 47,3 | 50,8 | 51,3 | N.A | 49,1 |
Mice/litter | 6,06 (±3,75) | 4,61 (±3,69) | 4,21 (±3,33) | 3,45 (±2,75) | 3,02 (±2,15) | 1,30 (±1,74) | p < 0.0001 | 3,77 (±1,61) |
5,03 (±3,73) | 4,21 (±3,33) | 3,36 (±2,64) | 1,30 (±1,74) | |||||
Nº litters with 100% mortality | 3 | 13 | 61 | 48 | 7 | 14 | N.A | 146 |
% litters with 100% mortality | 5,5 | 22,3 | 24,8 | 35,9 | N.A | 22,1 |
To calculate the statistical significance of the number of mice per litter the One-Way ANOVA with post-hoc Tukey Honestly Significant Difference (HSD) test was applied.
Table 2.
Breedings | Post-weaning genotyping | Embryo genotyping | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
WT x HTZ | HTZ x HTZ | HTZ x McA | HTZ x HTZ | |||||||||
Offsprings | WT | HTZ | McA | WT | HTZ | McA | WT | HTZ | McA | WT | HTZ | McA |
Nº mice per genotype | 96 | 137 | N.A | 368 | 718 | 67 | N.A | 580 | 122 | 12 | 17 | 9 |
Genotype % | 41.2 | 58.8 | N.A | 31.9 | 62.3 | 5.8 | N.A | 82.6 | 17.4 | 31.5 | 44.7 | 23.6 |
Expected Genotype % | 50 | 50 | N.A | 25 | 50 | 25 | N.A | 50 | 50 | 25 | 50 | 25 |
Statistics | Fisher’s test p = 0.035 | Chi-square test p < 0.001 | Fisher’s test p < 0.001 | Chi-square test p = 0.864 |
N.A: Not applicable. To compare obtained versus expected mouse genotypes Fisher’s exact test (two-group comparisons, i.e., WT x HTZ and HTZ x McA breedings) and Chi-square test (three-group comparisons, i.e., HTZ x HTZ breedings) were used.
Post-weaning mortality
A survival curve for all post-weaning genotyped mice (n = 2,088; WT = 464; HTZ = 1,435; McA = 189; including males and females) was calculated. There was a significant reduction in the survival rate of McA mice compared with WT and HTZ (Fig. 1); the accumulative survival for WT was 99.3% in a serial time of 831 days, 98.9% for HTZ in a serial time of 1012 days, and only 44.7% in McA mice in a serial time of 997 days (Fig. 1).
Degeneration, fibrosis and inflammation
Histopathological evaluation of soleus, EDL, gastrocnemius, TA and quadriceps from 8, 35 and 70-week-old McA mice using H&E-staining revealed several muscle fibers in disarray, variations in fiber size, with large intra-fiber voids and some CNF and an increase in the extracellular matrix area, that became more apparent in 70-week-old mice (Fig. 2A). Additionally, detailed images from 8, 35 and 70-week-old McA EDL muscle showed the presence of muscle regions with a high proportion of CNF along with an increase in the number of central nuclei per fiber in the EDL of 70-week-old mice (Supplementary Fig. 1). To assess whether this age-related increase in the extracellular matrix area was associated with fibrosis, muscle sections were stained with laminin, collagen IV (Col IV) and fibronectin (FBN) antibodies. TA from 8, 35 and 70-week-old McA mice clearly demonstrated fibrosis compared to age-matched WT mice (Fig. 2B and Supplementary Fig. 2A). Furthermore, in order to determine whether this finding was also present in other muscle types, laminin-fibronectin double stain as well as collagen I (Col I) and Col IV single stains were performed in EDL, quadriceps and soleus from WT and McA mice; in these muscles, the laminin and fibronectin stains were specially marked in the EDL and soleus of 70-week-old McA, while in quadriceps the increase was less evident (Supplementary Fig. 2B). Additionally, using laminin-DAPI stain, we observed an increase in the number of nuclei staining surrounding the sarcoplasmic membrane of TA and soleus muscle fibers, which was already apparent in 8-week-old McA mice, with a subtle increase in 35 and 70-week-old McA mice (Fig. 2C and Supplementary Fig. 3). To determine whether this increase was associated with an increment in the presence of inflammatory cells, we stained TA and quadriceps muscles with the CD68 macrophage marker18, and observed that high intensities of CD68 staining co-localized with the presence of multiple nuclei outside the sarcoplasmic membrane (Fig. 2D), reflecting the presence of an inflammatory response. Additionally, CD68, Col IV and DAPI stains co-localized in the quadriceps of 70-week-old McA mice, suggesting that fibrosis and inflammation are associated processes in the skeletal muscle of these mice (Fig. 2D).
Age-dependent increase in fiber degeneration
Muscle fiber types IIa and IIx have previously been found to be the most degenerated muscle fibers in 20-week-old McA mice due to massive intermyofibrillar and subsarcolemmal glycogen accumulation disturbing the ultrastructure10. In the present study, IIa and IIx fibers degeneration was observed in soleus muscle of 8-week-old McA mice, which was further exacerbated in 35- and 70-week-old McA animals (Fig. 3A,C); interestingly, type I fibers presented almost normal morphology in the three age groups (Fig. 3A,C). Similarly, degeneration of IIa, IIx and IIa/IIx fibers was already observed in TA muscle from 8-week-old McA mice, although it was more pronounced in 70-week-old mice (Fig. 3B). Additionally, as previously reported10, mixed IIx/IIb fibers were less affected than IIx fibers alone (Fig. 3D). Of note, higher accumulations of the extracellular matrix protein fibronectin were observed in TA regions where IIx fibers were predominant, while in areas with IIx/IIb fibers, less fibronectin staining was seen (Fig. 3D); thus, an inverse correlation between fibrosis and presence of IIx/IIb fibers might exist.
Muscle regenerates differentially depending on fiber type composition
In order to assess whether McA mice muscles were progressively affected by the excess of glycogen, we quantified the presence of CNF as a marker for the ongoing degeneration/regeneration cycles known to exist in McA mouse muscles10. The percentage of CNF was superior in McA vs. WT in the soleus, gastrocnemius, EDL and TA in the three age groups (Fig. 4A); additionally, there was an age-dependent increase in the mean percentage of CNF in the soleus of the McA mice (8-, 35- and 70-week-old: 11, 24 and 28%, respectively) that was not observed in gastrocnemius, EDL, TA and quadriceps (Fig. 4A). Thus, while TA showed the highest proportion of CNF in 8-week-old McA mice (24%), the soleus muscle presented the highest percentage in 70-week-old McA animals (28%) (Fig. 4B).
Increased number of CNF in type I and IIx/IIb fibers during aging
To assess if specific fiber types were more prone to degeneration, the percentage of CNF was quantified within the different fiber types in one oxidative muscle (soleus) and two glycolytic muscles (EDL and TA). In soleus muscle, CNFs were increased in type I fibers between 8 and 70-week-old McA mice, whereas no increase was observed in IIa fibers (Fig. 5A). In the EDL muscle, there was a significant increase in the percentage of CNF in type IIx/IIb fibers between 70 and 8-week-old McA mice (Fig. 5B), In TA, no change in CNF was found between the different ages (Fig. 5C).
Co-localization of MHCe with IIa, IIa/IIx and IIx fibers
We next analyzed the expression of the embryonic myosin heavy chain (MHCe), a marker of ongoing (acute) regeneration in McA mice through aging and different muscles/fiber types. In this regard, McA mouse muscle sections were double stained for Col IV and MHCe and for type I/IIa/IIx fibers. Both in soleus from 8 and 35-week-old McA mice and TA from 70-week-old McA mice, MHCe was only found in types IIa, IIa/IIx and IIx, but not in type I fibers. (Fig. 6A–C). Additionally, we also observed that there was a general trend towards a decrease in the number of MHCe positive fibers during aging in all the three muscles analyzed (Fig. 6D).
Fiber size and fiber type composition
To determine whether muscle degeneration affected muscle fiber size in McA mice, mFd was measured in the different muscles and age groups; while there were ~18% and ~4% mean fiber size increases in soleus and quadriceps, respectively (Fig. 7A), between 70 and 8-week-old McA mice, ~4, ~6 and ~19% mean fiber size decreases were observed in TA, gastrocnemius and EDL, respectively, between the same ages (Fig. 7B). These results suggest that among the analyzed muscles, soleus and quadriceps fibers are the least affected by McA disease during aging process in terms of fiber size. To further confirm the specific degeneration of IIa and IIx fibers during aging, we measured the mFd for each specific fiber type in the soleus of McA mice and observed that type I fibers were significantly larger than IIa and IIx fibers in 8-week-old McA animals (Fig. 7C). Additionally, while there was an ~8% increase in type I fiber size between 8 and 70-week-old McA mice, 7.5 and 11% decreases in type IIa and IIx fiber size, respectively, were observed between the same ages in the soleus of McA mice (Fig. 7D). These results suggest that repeated episodes of muscle damage and subsequent regeneration over mice life do not affect type I fiber size, but clearly reduce that of type IIa and IIx fibers. In soleus, EDL TA muscle we did not detect any changes in fiber type composition between the different ages and genotypes (Supplementary Fig. 4A–C). Next, we wanted to determine whether the overall muscle metabolism was affected. Fiber types were grouped either as oxidative (I, IIa and I/IIa) or glycolytic (IIx, IIa/IIx and IIx/IIb). While no significant changes were observed in both TA and EDL glycolytic muscles (Supplementary Fig. 5B,C), the soleus of McA mice demonstrated a progressive increase in the number of glycolytic fibers and a decrease in oxidative fibers with age, opposite of what was found in soleus of WT mice. (Supplementary Fig. 5A).
No progressive accumulation of glycogen in McArdle mice
We observed that glycogen levels were highly increased at all ages and muscles of McA mice compared with WT or HTZ using PAS stain (Fig. 8A). Biochemical quantification of glycogen in TA, quadriceps and gastrocnemius muscles in 8 and 70-week-old mice demonstrated that muscle glycogen levels were significantly higher in McA mice compared to WT (Fig. 8B). However, no difference in glycogen levels were found between 8 and 70-week-old McA mice in any of the three muscles examined (Fig. 8B). We analyzed the glycogen synthase (GS) expression and activation levels, as well as the expression levels of the of the different glycogen phosphorylase isoforms in gastrocnemius and TA muscles to determine if any changes were responsible for the absence of progressive glycogen accumulation. Using quantitative PCR, no significant change in Pygm, Pygb and Pygl mRNA levels were detected in gastrocnemius between 8 and 70-week-old McA mice (Fig. 9A). Additionally, there was a complete absence of GP-M protein in gastrocnemius and TA from McA mice in the three ages analyzed (Fig. 9B). A significant increase in the phosphorylation (and thus inactivation) of GS in McA animals compared with WT in both gastrocnemius and TA was observed (Fig. 9B). Thus, to further assess whether the absence of progressive glycogen accumulation could be associated with an increase in lysosomal glycogen degradation we compared acid-alpha glucosidase (GAA) protein levels between 70-week-old WT and McA mice, and no changes in GAA protein levels were found (Fig. 9C).
Discussion
Since the publication in 2012 of the article describing the development and characterization of the McArdle mouse model6, several studies analyzing the biological consequences of GP-M deficiency in this model have been reported7–12. None of these studies accounted for the potential effects of aging on disease progression and its molecular consequences. Therefore, in the present study, we have performed a longitudinal characterization of the McArdle mouse model and have analyzed its survival rate. The most important observations that we have obtained are: (i) McA mice present high perinatal and post-weaning mortality; (ii) there is a lack of glycogen content increase in McA mice during aging (iii) there is a progressive muscle degeneration, fibrosis and inflammation; (iv) soleus (oxidative) and quadriceps (glycolytic) are histologically less affected by disease progression than gastrocnemius, EDL and TA (glycolytic muscles); (v) there is a progressive degeneration of IIa, IIa/IIx and IIx fibers, whereas IIx/IIb and specially type I fibers are minimally affected and (vi) no major change in muscle fiber type composition occurs in McA mice during aging.
In this longitudinal study (from 2013 to 2018), we have collected sufficient data (from 139 matings and more than 2,000 offspring mice) to establish that difficulties associated with the management of the McA mouse colony are evident. The difficulties are caused by perinatal and post-weaning mortality of McA mice. Only two cases of fatal infantile form of McArdle disease (16 days and 13 weeks after birth, respectively)19,20 associated with hypotonia19, respiratory deficiency19,20 and generalized weakness20 have been reported. In this context, we could not identify the causes for the perinatal death in McA mice and whether these were similar to those involved in the aforementioned fatal infantile forms in patients. However, it is possible that this issue is solvable by splitting litters and adding a lactating female mouse without litters. This may reduce the risk of fighting among littermates for food, which McA mice likely are not well equipped for due to their weaker condition.
We have observed an aging-associated progressive degeneration of muscle fibers, fibrosis and infiltration of inflammatory cells in all the studied muscles. However, this study has demonstrated a differential affection and progression of muscle with age. Quadriceps and soleus seemed to be less histologically affected by disease progression than gastrocnemius, EDL and TA. In the case of the soleus this observation was supported by an increase in fiber size and CNF with aging, suggesting that its muscle fibers might be able to withstand repeated cycles of damage and regeneration (this increase was not observed in gastrocnemius, EDL, TA and quadriceps muscle fibers indicating that these might not be as resistant to progressive damage, leading to their subsequent degeneration); and also by the presence of type I fiber, predominant in the soleus, that were almost structurally unaffected in McA mice at all ages analyzed. With respect to quadriceps, low fibrosis accumulation and mild fiber size increase during aging suggested that this muscle was less affected by disease progression than gastrocnemius, EDL and TA. Furthermore, we had previously reported a seven-fold lower expression of Pygm mRNA and GP-M protein in quadriceps in comparison to TA10. The lower glycogen levels in the quadriceps compared to TA muscle of McA mice, points to a moderate use of glycogen metabolism in quadriceps in comparison to other glycolytic muscles. The higher content of IIb fibers in quadriceps compared to TA and EDL confers an compensatory increase in uptake of glucose for direct glycolysis11,21–23; additionally, in rat fiber types it was observed that insulin-directed glucose uptake took place preferentially in IIa fibers (IIa > IIx, IIb), while in IIb fibers glucose uptake was mainly contraction-induced through AMPK mechanisms24. Thus, the contraction-induced glucose uptake for direct metabolism rather than glycogen synthesis might spare the quadriceps from devastating glycogen accumulation10. All these observations clearly indicated that the differential progression of muscle degeneration among glycolytic muscles in McA mice related to their different fiber type composition. In this regard, we previously reported that types I/IIa, IIa, IIa/IIx and IIx muscle fibers presented evident signs of degeneration in McA mice, while type IIx/IIb and specially type I fibers were almost unaffected10. In the present study, we have further confirmed these results as type I fibers had an almost normal morphology across all ages in McA mice, whereas there was a progressive degeneration of IIa, IIx and IIa/IIx fibers (i.e., from 8 to 70 weeks of age). Additionally, all actively regenerating fibers (i.e., MHCe positive) co-stained with IIa, IIx or IIa/IIx fiber type. The reason why type I/IIa, IIa, IIa/IIx and IIx fibers are more affected than type I and IIx/IIb hybrid fibers in the McArdle mouse model is unknown. Yet, a recent study on the proteomics of healthy murine single fiber types25 showed a distinct proteomic content among fiber types that might help to explain the observed differences in fiber type resistance to degeneration. In this regard, Mitsugurmin-53/Trim 72, a protein that plays a role in membrane repair, was found to be considerably more abundant in type I than in all another fiber types25. Additionally, we previously showed in McA mice that type I fibers presented lower levels of glycogen than type II fibers6, and the glycogen content levels in the soleus of these mice were lower than in the glycolytic muscles gastrocnemius and EDL7, suggesting a direct correlation between muscle fiber glycogen content and damage. Selective type II fiber degeneration has been previously reported in other myopathies such as Duchenne muscular dystrophy, facioscapulohumeral muscular dystrophy, myotonic dystrophy type 226 as well as in the alpha-glucosidase knock-out mouse model that mimics the late-onset form of Pompe disease27,28. Several reports also indicate that age-related decline in muscle mass is fiber type-specific, principally affecting type II fibers, with type I fibers remaining largely unaffected25,29–31. Although no major change in fiber type composition was observed in McA mice during the aging process, we observed a trend towards an increase in glycolytic metabolism in the soleus muscle with aging in McA mice, as indicated by a decrease in the percentage of oxidative fibers paralleled by an increase in the proportion of glycolytic fibers in 70-week-old animals. Although the physiologic significance of this observation still needs to be elucidated, it might imply the necessity of this muscle to diversify its metabolism as a protective mechanism against the cytosolic glycogen degradation blockade. Finally, we have shown that progressive muscle degeneration in McA mice during aging is not accompanied by an increase in their muscle glycogen content. This absence of progressive glycogen accumulation was not associated with a re-expression of the Pygb and/or Pygl genes in mature muscle. Additionally, a significant increase in GS phosphorylation was observed in McA mouse muscles in the three ages analyzed indicating that GS inactivation plays an important role to explain the absence of glycogen content increase. However, some degree of glycogen phosphorylase-independent glycogen degradation cannot be discarded as it remains to be determined whether autophagy-related pathways are progressively involved through aging in McA disease. Although no significant increase in lysosomal GAA was observed in older mice, the enzyme activity might be sufficient to handle potential deviation of glycogen degradation to the lysosomal pathway. Future studies should elucidate whether lysosomal glycogen degradation is affected in McA mice and might determine the link between cytosolic and lysosomal glycogen metabolism in McA disease, as well as its potential therapeutic implications in patients. On the other hand, our finding of an aging-associated progressive degeneration of muscle fibers, fibrosis and infiltration of inflammatory cells in all the studied McA mouse muscles (although with varying degrees of affectation depending on muscle type) is important from a translational point of view. Indeed, we have reported in the Spanish Registry of McA patients [originally n = 2394 and n = 333 in the more recent update5] that age has a detrimental effect on several phenotypic features of the disease, especially on muscle fixed weakness, which affects mostly proximal/trunk muscles4. The mean age (57 ± 19 years) of those patients in the highest severity class 3 (that includes presence of fixed muscle weakness) is indeed higher than in those in the lower severity classes 1 (46 ± 19 years, p = 0.007)5. Thus, the finding of age-associated muscle fibrosis and infiltration found here might provide mechanistic insight for the reported findings in the older patients and should be kept in mind as an additional hallmark of the disease.
Supplementary information
Acknowledgements
The present study was funded by grants received from the Fondo de Investigaciones Sanitarias (FIS, grant PI16/01492 and PI15/00558) and cofunded by ‘Fondos FEDER’. Gisela Nogales-Gadea is supported by a Miguel Servet research contract (ISCIII CD14/00032 and FEDER) and Instituto de Salud Carlos III grant PI15/01756 and by a Trampoline Grant #21108 from AMF Telethon.
Author Contributions
A.R.-M., A.B., N.d.L. and T.P. designed and performed all the experiments; J.H., G.T., M.A.M., J.A., A.L.A., G.N.-G., J.V., T.O.K. and T.P. analyzed the data; A.L.A., T.O.K. and T.P. wrote the manuscript.
Data Availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Alberto Real-Martinez and Astrid Brull contributed equally.
Noemi de Luna and Tomàs Pinós jointly supervised.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s41598-019-41414-8.
References
- 1.Dimauro S, Andreu AL, Bruno C, Hadjigeorgiou GM. Myophosphorylase deficiency (glycogenosis type V; McArdle disease) Current molecular medicine. 2002;2:189–196. doi: 10.2174/1566524024605770. [DOI] [PubMed] [Google Scholar]
- 2.Lucia A, et al. McArdle disease: what do neurologists need to know? Nature clinical practice. Neurology. 2008;4:568–577. doi: 10.1038/ncpneuro0913. [DOI] [PubMed] [Google Scholar]
- 3.Dimauro S, Akman O, Hays AP. Disorders of carbohydrate metabolism. Handbook of clinical neurology. 2007;86:167–182. doi: 10.1016/S0072-9752(07)86007-6. [DOI] [PubMed] [Google Scholar]
- 4.Lucia A, et al. Genotypic and phenotypic features of McArdle disease: insights from the Spanish national registry. Journal of neurology, neurosurgery, and psychiatry. 2012;83:322–328. doi: 10.1136/jnnp-2011-301593. [DOI] [PubMed] [Google Scholar]
- 5.Santalla A, et al. Genotypic and phenotypic features of all Spanish patients with McArdle disease: a 2016 update. BMC genomics. 2017;18:819. doi: 10.1186/s12864-017-4188-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nogales-Gadea G, et al. Knock-in mice for the R50X mutation in the PYGM gene present with McArdle disease. Brain: a journal of neurology. 2012;135:2048–2057. doi: 10.1093/brain/aws141. [DOI] [PubMed] [Google Scholar]
- 7.Brull A, et al. Phenotype consequences of myophosphorylase dysfunction: insights from the McArdle mouse model. The Journal of physiology. 2015;593:2693–2706. doi: 10.1113/JP270085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Fiuza-Luces C, et al. Muscle Signaling in Exercise Intolerance: Insights from the McArdle Mouse Model. Medicine and science in sports and exercise. 2016;48:1448–1458. doi: 10.1249/MSS.0000000000000931. [DOI] [PubMed] [Google Scholar]
- 9.Fiuza-Luces C, et al. Muscle molecular adaptations to endurance exercise training are conditioned by glycogen availability: a proteomics-based analysis in the McArdle mouse model. The Journal of physiology. 2018;596:1035–1061. doi: 10.1113/JP275292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Krag TO, et al. Differential Muscle Involvement in Mice and Humans Affected by McArdle Disease. Journal of neuropathology and experimental neurology. 2016;75:441–454. doi: 10.1093/jnen/nlw018. [DOI] [PubMed] [Google Scholar]
- 11.Krag TO, et al. Differential glucose metabolism in mice and humans affected by McArdle disease. American journal of physiology. Regulatory, integrative and comparative physiology. 2016;311:R307–314. doi: 10.1152/ajpregu.00489.2015. [DOI] [PubMed] [Google Scholar]
- 12.Nielsen TL, Pinos T, Brull A, Vissing J, Krag TO. Exercising with blocked muscle glycogenolysis: Adaptation in the McArdle mouse. Molecular genetics and metabolism. 2018;123:21–27. doi: 10.1016/j.ymgme.2017.11.006. [DOI] [PubMed] [Google Scholar]
- 13.Kaplan E, Meier P. Nonparametric estimation from incomplete observations. Journal of the American Statistical Association. 1958;53:457–481. doi: 10.1080/01621459.1958.10501452. [DOI] [Google Scholar]
- 14.Dubach-Powell, J. Quantitative determination of muscle fiber diameter (minimal Feret’s diameter) and percentage of centralized nuclei. TREAT-NMD Neuromuscular NetworkDMD_M.1.2.001 (2008).
- 15.Omairi, S. et al. Enhanced exercise and regenerative capacity in a mouse model that violates size constraints of oxidative muscle fibres. eLife5, 10.7554/eLife.16940 (2016). [DOI] [PMC free article] [PubMed]
- 16.Nogales-Gadea G, et al. Expression of the muscle glycogen phosphorylase gene in patients with McArdle disease: the role of nonsense-mediated mRNA decay. Human mutation. 2008;29:277–283. doi: 10.1002/humu.20649. [DOI] [PubMed] [Google Scholar]
- 17.Lo S, Russell JC, Taylor AW. Determination of glycogen in small tissue samples. Journal of applied physiology. 1970;28:234–236. doi: 10.1152/jappl.1970.28.2.234. [DOI] [PubMed] [Google Scholar]
- 18.Barros MH, Hauck F, Dreyer JH, Kempkes B, Niedobitek G. Macrophage polarisation: an immunohistochemical approach for identifying M1 and M2 macrophages. PloS one. 2013;8:e80908. doi: 10.1371/journal.pone.0080908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Milstein JM, Herron TM, Haas JE. Fatal infantile muscle phosphorylase deficiency. Journal of child neurology. 1989;4:186–188. doi: 10.1177/088307388900400305. [DOI] [PubMed] [Google Scholar]
- 20.DiMauro S, Hartlage PL. Fatal infantile form of muscle phosphorylase deficiency. Neurology. 1978;28:1124–1129. doi: 10.1212/WNL.28.11.1124. [DOI] [PubMed] [Google Scholar]
- 21.Augusto V, Padovani CR, Rocha-Campos EG. Skeletal muscle fiber types in C57Bl6J mice. Brazilian journal of morphological sciences. 2004;21:89–94. [Google Scholar]
- 22.D’Antona G, et al. Structural and functional alterations of muscle fibres in the novel mouse model of facioscapulohumeral muscular dystrophy. The Journal of physiology. 2007;584:997–1009. doi: 10.1113/jphysiol.2007.141481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bloemberg D, Quadrilatero J. Rapid determination of myosin heavy chain expression in rat, mouse, and human skeletal muscle using multicolor immunofluorescence analysis. PloS one. 2012;7:e35273. doi: 10.1371/journal.pone.0035273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mackrell JG, Cartee GD. A novel method to measure glucose uptake and myosin heavy chain isoform expression of single fibers from rat skeletal muscle. Diabetes. 2012;61:995–1003. doi: 10.2337/db11-1299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Murgia M, et al. Single muscle fiber proteomics reveals unexpected mitochondrial specialization. EMBO reports. 2015;16:387–395. doi: 10.15252/embr.201439757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Talbot J, Maves L. Skeletal muscle fiber type: using insights from muscle developmental biology to dissect targets for susceptibility and resistance to muscle disease. Wiley interdisciplinary reviews. Developmental biology. 2016;5:518–534. doi: 10.1002/wdev.230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fukuda T, et al. Autophagy and lysosomes in Pompe disease. Autophagy. 2006;2:318–320. doi: 10.4161/auto.2984. [DOI] [PubMed] [Google Scholar]
- 28.Raben N, et al. Suppression of autophagy in skeletal muscle uncovers the accumulation of ubiquitinated proteins and their potential role in muscle damage in Pompe disease. Human molecular genetics. 2008;17:3897–3908. doi: 10.1093/hmg/ddn292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Brunner F, et al. Effects of aging on Type II muscle fibers: a systematic review of the literature. Journal of aging and physical activity. 2007;15:336–348. doi: 10.1123/japa.15.3.336. [DOI] [PubMed] [Google Scholar]
- 30.Grimby G. Muscle performance and structure in the elderly as studied cross-sectionally and longitudinally. The journals of gerontology. Series A, Biological sciences and medical sciences. 1995;50(Spec No):17–22. doi: 10.1093/gerona/50a.special_issue.17. [DOI] [PubMed] [Google Scholar]
- 31.Miljkovic N, Lim JY, Miljkovic I, Frontera WR. Aging of skeletal muscle fibers. Annals of rehabilitation medicine. 2015;39:155–162. doi: 10.5535/arm.2015.39.2.155. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Supplementary Materials
Data Availability Statement
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.