Introduction
In the middle age and beyond, we experience that the speed, strength, and mass of our muscles dissipates. This facultative loss of muscle mass and function (sarcopenia) poses a serious threat to our independence and health at older age. Sarcopenia was recognized by WHO[
1] in 2002 as a condition in elderly people associated with a range of morbidities and is now a disease entity with ICD-10-CM code (M62.84). Guide-lines for diagnostic criteria have been assembled and revised by European, Asian and North American work groups (the EWGSOP2[
2,
3], the Asian Working Group for Sarcopenia (AWGS)[
4], and the FNIH[
5]) and define primary sarcopenia as a loss of skeletal muscle mass, decrease in muscle strength (static handgrip strength) and motor performance (usually gait speed). Sarcopenia becomes a clinical condition at 60-to-70 years-of-age (i.e. early aging) and later sarcopenia may be the prime cause for disability [
6]. However, studies indicate a decline in muscle function already in the transition between young adulthood and early middle age [
7,
8,
9,
10,
11,
12,
13], suggesting that sarcopenia may evolve from processes instigated early-on and when becoming clinically overt been ongoing for decades.
Much of what we know about sarcopenia derive from studies on laboratory rodents which serve as models for the human condition (reviewed in[
8,
14,
15,
16,
17,
18]). As concluded by Ballak et al, rats seem to mirror the human condition more closely than mice do[
15], while mice offer a more flexible platform for genetic manipulations. Aged skeletal muscles of rodents [
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33] and humans[
34,
35,
36,
37,
38,
39,
40,
41,
42], consistently show loss and atrophy of fast-twitch type II myofibers [
43]. In parallel, there is a decline in satellite cells (SC, stem cells for replenishment/ expansion of the muscle pool of myocytes) and a decrease in SC replication rate [at least in vitro][
44,
45]. The aged skeletal muscle also shows signs of inflammation, accumulation of extracellular matrix components, and intra and inter myofiber infiltration of fat (
idem). The combined effect of these changes is mirrored in the loss of muscle mass and function at old age. Among factors proposed to be driving these changes are the accumulation in the muscle of senescent cells and their secretome, systemic alteration in inflammatory and endocrine signalling, age-associated changes in the cellular balance between synthesis and breakdown of proteins along with changes to nutritional balance and gut microbiota, and a more sedentary life-style of the elderly [laboratory] rodents and humans alike(
idem and [
33,
46,
47,
48,
49]).
The vulnerability of fast-twitch type II myofibers, occurrence of fibre type grouping[
17,
29,
40] and fragmentation and irregularities of the post synaptic junctional membrane[
50] suggest a neurogenic component in sarcopenia. This is further supported by the increasing number of fibres with a myosin expression pattern intermediate of type I and type II (hybrid fibres), alterations of the chemical phenotype of motoneurons [
51], changes to excitability and impulse propagation changes, as well as a loss of MUs and a compensatory enlargement of the remaining MUs [
15,
17,
52,
53,
54,
55,
56,
57]. If a neurogenic component precedes, is concurrent with, or a consequence of changes intrinsic to the skeletal muscle, remains a debated controversy [
8,
16,
17,
18,
31,
32,
50,
57,
58,
59,
60,
61,
62], since cause-and-effect is hard to pin down due to the multitude of changes present in sarcopenic muscles.
In this study, we have used outbred rats to study the natural history of sarcopenia with the aim to compare behavioral motor deficits with degree of muscle wasting and to find processes preceding the clinical phase of this condition. For these purposes we used the soleus component of the triceps surae muscle of male SD rats because of its long duty cycles in everyday life and significance for postural mechanisms[
63]. In addition, select metrics were validated also in young adult, middle-aged and aged female rats.
Figure 1.
Survival of female (red) and male (blue) for cohorts of rats maintained until they reached the median survival age (endpoint of this study). The difference between males and females was not significant (Cox-Mantel test).
Figure 1.
Survival of female (red) and male (blue) for cohorts of rats maintained until they reached the median survival age (endpoint of this study). The difference between males and females was not significant (Cox-Mantel test).
Figure 2.
(A) PCA analysis of gross metrics on male (5-, 18-, 25- and 30-month-old) and female (3-, 12- and 30-month-old) rats show covariance with 96% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. As the inserted arrow indicates, male rats in late middle age (18-month-old) and early aging (25-month-old) separate from young adults (male and female, 3- and 5-month-old) and females in the early middle age (12-month-old) mainly along F2, driven by their larger body and muscle weights and the incipient drop in normalized soleus muscle weight. In advanced age (30-month-old) male and female rats separate from the other age groups mainly on the F1 axis driven by gait deterioration and progressive muscle atrophy. Young-adult males and females and early middle-aged-females group tightly together. The sex mixed group at advanced age (30-month-old) form rather dense clusters while the observations in males at late middle age (18 month-old) and in early aging (25-month-old) are scattered. There is a sex difference (centroids) driven by differences in whole body size and muscle weight. (B) Correlation coefficients between metrics have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 2.
(A) PCA analysis of gross metrics on male (5-, 18-, 25- and 30-month-old) and female (3-, 12- and 30-month-old) rats show covariance with 96% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. As the inserted arrow indicates, male rats in late middle age (18-month-old) and early aging (25-month-old) separate from young adults (male and female, 3- and 5-month-old) and females in the early middle age (12-month-old) mainly along F2, driven by their larger body and muscle weights and the incipient drop in normalized soleus muscle weight. In advanced age (30-month-old) male and female rats separate from the other age groups mainly on the F1 axis driven by gait deterioration and progressive muscle atrophy. Young-adult males and females and early middle-aged-females group tightly together. The sex mixed group at advanced age (30-month-old) form rather dense clusters while the observations in males at late middle age (18 month-old) and in early aging (25-month-old) are scattered. There is a sex difference (centroids) driven by differences in whole body size and muscle weight. (B) Correlation coefficients between metrics have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 3.
(A) PCA analysis of activity, motor, and coordination indicis in male and female age cohorts (3-, 5-, 12- and 30-month-old) show high degree of covariance with 80% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. Motor and coordination indicis loaded mainly on F1 being directly or inversely mutually correlated. (B) Young adult female and male rat observations overlap extensively as do the male and female observations in early middle age, while the observations on middle aged rats of both sexes are slightly shifted away from the young adults on the F2 axis driven by changes of the activity indices in the OF test and shorter time on the BB. At advanced age, the observations are significantly separated from both young adult and middle-aged rats along the F1 axis because of the deterioration of motor and coordination capacities. There is a sex difference (centroids connected with a line) driven by middle and advanced aged female rats performing somewhat better than their male counterparts. Observations on early aged males (25-month-old) not included in the comparison of both sexes formed a group positioned in between middle aged and 30-month-old rats (see
Supportive information (Figure S4)). (C) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 3.
(A) PCA analysis of activity, motor, and coordination indicis in male and female age cohorts (3-, 5-, 12- and 30-month-old) show high degree of covariance with 80% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. Motor and coordination indicis loaded mainly on F1 being directly or inversely mutually correlated. (B) Young adult female and male rat observations overlap extensively as do the male and female observations in early middle age, while the observations on middle aged rats of both sexes are slightly shifted away from the young adults on the F2 axis driven by changes of the activity indices in the OF test and shorter time on the BB. At advanced age, the observations are significantly separated from both young adult and middle-aged rats along the F1 axis because of the deterioration of motor and coordination capacities. There is a sex difference (centroids connected with a line) driven by middle and advanced aged female rats performing somewhat better than their male counterparts. Observations on early aged males (25-month-old) not included in the comparison of both sexes formed a group positioned in between middle aged and 30-month-old rats (see
Supportive information (Figure S4)). (C) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 4.
Three-axis plots of the covariation between normalized soleus mass, on the one hand, and (A) stride length and gait score, and (B) stride width and stride length, on the other. Observations in males in blue and females in red. Multiple R(z/xy) for female and male rats were in (A) =0.89 (both sexes; p=1E-7) and in (B) r=0.88 (males, p=2E-7) and r=0.87 (females, p=1E-7).
Figure 4.
Three-axis plots of the covariation between normalized soleus mass, on the one hand, and (A) stride length and gait score, and (B) stride width and stride length, on the other. Observations in males in blue and females in red. Multiple R(z/xy) for female and male rats were in (A) =0.89 (both sexes; p=1E-7) and in (B) r=0.88 (males, p=2E-7) and r=0.87 (females, p=1E-7).
Figure 5.
Cross sections of m soleus stained with Eosin-HTX from young adult (A), middle aged (B), early aged (C), and advanced aged (D) rats. With advancing age, the shape and size variability increases, as do the interstitial matrix space. Nuclei with a central position in the myofiber become more frequent during aging. (x10 plan-apo objective). Scale bar in A is 100μm and applies to all panels.
Figure 5.
Cross sections of m soleus stained with Eosin-HTX from young adult (A), middle aged (B), early aged (C), and advanced aged (D) rats. With advancing age, the shape and size variability increases, as do the interstitial matrix space. Nuclei with a central position in the myofiber become more frequent during aging. (x10 plan-apo objective). Scale bar in A is 100μm and applies to all panels.
Figure 6.
Series of near-adjacent sections from a young adult (5m-7; left four panels) and a rat at endpoint age (30m-433; four right panels) stained for Eosin-HTX, MyHC I-IR, yHC3-IR, and MyHC II-IR. In the panels of the young adult rat, a yellow arrow indicates a myofiber profile IR for MYHC I and MyHC3 but negative for MyHC II-IR. Green arrow points to a fine calibre fibre IR to MyHC II and 3, and faintly positive for MyHC I. In the panels to the right, the aged rat displays examples of myofibers IR for all three myosins (yellow arrow), IR to MyHC I and MyHC3 (blue arrows), and IR for MyHC II and MyHC3 (red arrows). Also note the high degree of shape variability among aged myofibers. The full m. soleus cross section from which the cut-outs used here to illustrate the changes imposed by aging is available in
Supportive information (Figure S6). (x10 plan-apo objective), scale bar in upper left panel is 100 μm and applies to all panels.
Figure 6.
Series of near-adjacent sections from a young adult (5m-7; left four panels) and a rat at endpoint age (30m-433; four right panels) stained for Eosin-HTX, MyHC I-IR, yHC3-IR, and MyHC II-IR. In the panels of the young adult rat, a yellow arrow indicates a myofiber profile IR for MYHC I and MyHC3 but negative for MyHC II-IR. Green arrow points to a fine calibre fibre IR to MyHC II and 3, and faintly positive for MyHC I. In the panels to the right, the aged rat displays examples of myofibers IR for all three myosins (yellow arrow), IR to MyHC I and MyHC3 (blue arrows), and IR for MyHC II and MyHC3 (red arrows). Also note the high degree of shape variability among aged myofibers. The full m. soleus cross section from which the cut-outs used here to illustrate the changes imposed by aging is available in
Supportive information (Figure S6). (x10 plan-apo objective), scale bar in upper left panel is 100 μm and applies to all panels.
Figure 7.
Boxplots of metrics (A-F) on m soleus during aging. Age groups have been indicated on the abscissa and metric on the ordinate in A-F. Kruskal-Wallis analysis of variance indicated that each metric changed in significantly during aging. Pair-wise post hoc testing results have been indicated where they were significant. G-I plots showing the distribution of CSAs (in BINs of 1000μm2) for type I (G), type II (H), and embryonic myosin (I) expressing myofibers.
Figure 7.
Boxplots of metrics (A-F) on m soleus during aging. Age groups have been indicated on the abscissa and metric on the ordinate in A-F. Kruskal-Wallis analysis of variance indicated that each metric changed in significantly during aging. Pair-wise post hoc testing results have been indicated where they were significant. G-I plots showing the distribution of CSAs (in BINs of 1000μm2) for type I (G), type II (H), and embryonic myosin (I) expressing myofibers.
Figure 8.
Plot showing the relative change between 18-25-30 month old rats (abscissa) in percent (left ordinate) of the myofibers (MF) expressing different combinations of myosins. The percentage of the total number of myofibres (ordinate to the right) in each age cohort expressing MyHC3 (black solid line) or being defined as a hybrid I/II fibre (HMF; interrupted black line). Data from young adult rats excluded because the prevalence of such fibres was <1%.
Figure 8.
Plot showing the relative change between 18-25-30 month old rats (abscissa) in percent (left ordinate) of the myofibers (MF) expressing different combinations of myosins. The percentage of the total number of myofibres (ordinate to the right) in each age cohort expressing MyHC3 (black solid line) or being defined as a hybrid I/II fibre (HMF; interrupted black line). Data from young adult rats excluded because the prevalence of such fibres was <1%.
Figure 9.
A panel indicates mean and SD for number of myofiber neighbours, prevalence of type I myofibers, observed number of enclosed type I myofibres, and the predicted number of enclosed type I myofibers in each age cohort. B shows the observed fraction of enclosed type I myofibers (ordinate) plotted against the prevalence of type I myofibers. The three curves (solid, interrupted and dotted) show the expected number of enclosed myofibers by a random distribution as a function of type I prevalence (abscissa) if number of neighbours equal 6, 7 or 8, respectively (key in graph).
Figure 9.
A panel indicates mean and SD for number of myofiber neighbours, prevalence of type I myofibers, observed number of enclosed type I myofibres, and the predicted number of enclosed type I myofibers in each age cohort. B shows the observed fraction of enclosed type I myofibers (ordinate) plotted against the prevalence of type I myofibers. The three curves (solid, interrupted and dotted) show the expected number of enclosed myofibers by a random distribution as a function of type I prevalence (abscissa) if number of neighbours equal 6, 7 or 8, respectively (key in graph).
Figure 10.
(A) PCA analysis of metrics on m. soleus in age-cohorts of male rats (5 (Ya), 18 (Ma), 25 (Ea) and 30 (Aa)-month-old) show covariance with 64% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. As the inserted arrow indicates, middle aged (Ma, 18) rats separate from young adult (Ya, 5) on F2 driven by the increase of hybrid and MyHC3-IR myofibers, and dropdown in number of type II fibres. As aging progresses the further separation is mainly along F1 (Ea 25 and Aa 30) driven by type II followed by type I myofiber atrophy, drop in soleus muscle weight, and emerging gait deficiencies. (B) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 10.
(A) PCA analysis of metrics on m. soleus in age-cohorts of male rats (5 (Ya), 18 (Ma), 25 (Ea) and 30 (Aa)-month-old) show covariance with 64% of the total variance explained by the two first principal components (F1 and F2). Note that age is a supplementary variable not contributing to the factor loading on the F1 and F2 axes. As the inserted arrow indicates, middle aged (Ma, 18) rats separate from young adult (Ya, 5) on F2 driven by the increase of hybrid and MyHC3-IR myofibers, and dropdown in number of type II fibres. As aging progresses the further separation is mainly along F1 (Ea 25 and Aa 30) driven by type II followed by type I myofiber atrophy, drop in soleus muscle weight, and emerging gait deficiencies. (B) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 11.
Pseudo-coloured three channel confocal images with DAPI (red), Pax7-IR (green) and laminin (blue) of samples from young adult (A), middle aged (B), early aging (C) and advanced age (D) rats. SC appear as yellow profiles (examples indicated by arrows) from the blending of red (DAPI) and green (Pax7-IR) light and are situated in the SC niche. Scale bar in A is 50 μm and applies to all panels.
Figure 11.
Pseudo-coloured three channel confocal images with DAPI (red), Pax7-IR (green) and laminin (blue) of samples from young adult (A), middle aged (B), early aging (C) and advanced age (D) rats. SC appear as yellow profiles (examples indicated by arrows) from the blending of red (DAPI) and green (Pax7-IR) light and are situated in the SC niche. Scale bar in A is 50 μm and applies to all panels.
Figure 12.
(A) PCA analysis of gene expression across age groups of male SD rats reveal a high degree of direct or inverse covariance among the genes investigated with 76% of the total variance explained by the two first principal components. TGFβ1, CHRNγ, MYOG, MYOD and GDNF mRNAs formed one cluster of co-varying transcripts loading mainly on F1, while βCatenin, Smad3, MuRF1, and MyHC3 mRNAs formed another cluster loading mainly on F2. NCAM and FXBXO32 transcript levels loaded equally on F1 and F2. In (B) the observations in each age group have been indicated and the ovals stand for the 70% confidence limit of respective group. Compared with young adults, middle aged rats and rats in early aging separate gradually on both F2 and F1. The shift on F2 is driven by increased levels of βCatenin, Smad3, FBXO32, and MuRF1 transcripts. At advanced age (30) these transcripts become downregulated. Across the middle age, early and late aging there is a gradual increase in abundance of the transcripts loading on F1. Note that Age is a supplementary variable and does not contribute to the loading of F1 or F2. (C) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 12.
(A) PCA analysis of gene expression across age groups of male SD rats reveal a high degree of direct or inverse covariance among the genes investigated with 76% of the total variance explained by the two first principal components. TGFβ1, CHRNγ, MYOG, MYOD and GDNF mRNAs formed one cluster of co-varying transcripts loading mainly on F1, while βCatenin, Smad3, MuRF1, and MyHC3 mRNAs formed another cluster loading mainly on F2. NCAM and FXBXO32 transcript levels loaded equally on F1 and F2. In (B) the observations in each age group have been indicated and the ovals stand for the 70% confidence limit of respective group. Compared with young adults, middle aged rats and rats in early aging separate gradually on both F2 and F1. The shift on F2 is driven by increased levels of βCatenin, Smad3, FBXO32, and MuRF1 transcripts. At advanced age (30) these transcripts become downregulated. Across the middle age, early and late aging there is a gradual increase in abundance of the transcripts loading on F1. Note that Age is a supplementary variable and does not contribute to the loading of F1 or F2. (C) Correlation coefficients between metrics in A have been colour coded with shades of red denoting positive correlations while shades of blue indicate an inverse correlation.
Figure 13.
Boxplots of MYOG, MYOD, βCatenin, and MyHC3 mRNA expression m soleus during adult lifespan in male rats. Age groups have been indicated on the abscissa and fold difference relative internal control on the ordinate. Kruskal-Wallis analysis of variance indicated that each mRNA changed in significantly during aging (see KW in panels). Pairwise post hoc testing results have been indicated when significant.
Figure 13.
Boxplots of MYOG, MYOD, βCatenin, and MyHC3 mRNA expression m soleus during adult lifespan in male rats. Age groups have been indicated on the abscissa and fold difference relative internal control on the ordinate. Kruskal-Wallis analysis of variance indicated that each mRNA changed in significantly during aging (see KW in panels). Pairwise post hoc testing results have been indicated when significant.
Figure 14.
A-D Boxplots of TGFβ1, Smad3, FBXO32 and MurF1 mRNA abundances in m soleus during adult lifespan in male rats. Age groups have been indicated on the abscissa and fold difference relative internal control on the ordinate. Kruskal-Wallis analysis of variance indicated that each mRNA changed in a significantly during aging (see KW in panels). Pairwise post hoc testing results have been indicated where they were significant.
Figure 14.
A-D Boxplots of TGFβ1, Smad3, FBXO32 and MurF1 mRNA abundances in m soleus during adult lifespan in male rats. Age groups have been indicated on the abscissa and fold difference relative internal control on the ordinate. Kruskal-Wallis analysis of variance indicated that each mRNA changed in a significantly during aging (see KW in panels). Pairwise post hoc testing results have been indicated where they were significant.
Figure 15.
Boxplots of CHRNγ GDNF, NCAM mRNA abundance in m soleus during aging in male (A, B, and C), and female (D, E, and F) rats. In panels G, H, and I) the muscle response ten days after a complete unilateral axotomy in a young adult female rat. Age groups have been indicated on the abscissa and fold difference in mRNA level relative internal control on the ordinate in A-F. In panels G-I the transcript level on the ipsilateral and contralateral side is shown along with naïve controls (used for normalization). Kruskal-Wallis analysis of variance indicated that each metric changed in a significant way during aging and in response to axotomy. Pairwise post hoc testing results have been indicated where they were significant.
Figure 15.
Boxplots of CHRNγ GDNF, NCAM mRNA abundance in m soleus during aging in male (A, B, and C), and female (D, E, and F) rats. In panels G, H, and I) the muscle response ten days after a complete unilateral axotomy in a young adult female rat. Age groups have been indicated on the abscissa and fold difference in mRNA level relative internal control on the ordinate in A-F. In panels G-I the transcript level on the ipsilateral and contralateral side is shown along with naïve controls (used for normalization). Kruskal-Wallis analysis of variance indicated that each metric changed in a significant way during aging and in response to axotomy. Pairwise post hoc testing results have been indicated where they were significant.
Cohort |
Sex |
Age (months) |
Strain |
Vendor |
Cage type |
Temp oC |
Humidity (%) |
Feed |
n |
M5m |
Male |
5 |
CR-SD* |
CR |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
10 |
M12m |
Male |
12 |
CR-SD* |
CR |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
9 |
M18m |
Male |
18 |
CR-SD* |
CR |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
11 |
M25m |
Male |
25 |
CR-SD* |
CR |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
8 |
M30m |
Male |
30 |
Sprague-Dawley |
Scanbur |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
16 |
F3m&F3mA |
Female |
3 |
Sprague-Dawley |
Scanbur |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
30 |
F12m |
Female |
12 |
Sprague-Dawley |
Scanbur |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
10 |
F30m |
Female |
30 |
Sprague-Dawley |
Scanbur |
Type 4 Open |
21±2 |
40-60 |
Lactamin R70 |
10 |
Total |
Males |
|
|
|
|
|
|
|
55 |
Total |
Females |
|
|
|
|
|
|
|
50 |
|
|
|
Muscle histology analyses |
|
|
|
|
Cohort |
Sex |
Age* (months) |
Fiber number |
Fiber types |
CSA |
CN |
SC number |
SC replication |
M5m |
Male |
5 |
X |
X |
X |
X |
X |
X |
M18m |
Male |
18 |
X |
X |
X |
X |
X |
X |
M25m |
Male |
25 |
X |
X |
X |
X |
X |
X |
M30m |
Male |
30 |
X |
X |
X |
X |
X |
X |
* age when included in study |
|
|
|
|
|
|
Cohort |
Sex |
|
Age (months) |
Body weight (g) |
M. soleus wet weight (mg) |
Norm sol wet weight (mg/g) |
Gait score |
M5m |
Male |
mean |
5 |
359.4 |
175.8 |
0.490 |
0 |
|
|
±SD |
|
23.8 |
13.0 |
0.040 |
0 |
|
|
n |
|
10 |
M18m |
Male |
mean |
18 |
819.9 |
348.0 |
0.43 |
0 |
|
|
±SD |
|
124.0 |
52.0 |
0.031 |
0 |
|
|
n |
|
11 |
M25m |
Male |
mean |
25 |
802.3 |
315.6 |
0.41 |
1.3 |
|
|
±SD |
|
155.0 |
50.6 |
0.11 |
0.5 |
|
|
n |
|
9 |
M30m |
Male |
mean |
30 |
502.5 |
98.5 |
0.19 |
2.6 |
|
|
±SD |
|
52.9 |
27.4 |
0.043 |
0.5 |
|
|
n |
|
16 |
F3m* |
Female |
mean |
3 |
266.1 |
128.3 |
0.48 |
0 |
|
|
±SD |
|
8.6 |
6.5 |
0.020 |
0 |
|
|
n |
|
10 |
F12m* |
Female |
mean |
12 |
348.3 |
174.4 |
0.49 |
0 |
|
|
±SD |
|
30.2 |
27.2 |
0.044 |
0 |
|
|
n |
|
10 |
F30m* |
Female |
mean |
30 |
338.1 |
71.7 |
0.22 |
2.1 |
|
|
±SD |
|
38.4 |
16.9 |
0.035 |
0.7 |
|
|
n |
|
10 |
Kruskal-Wallis |
Males |
p= |
<0.001 |
<0.001 |
<0.001 |
<0.001 |
Kruskal-Wallis |
Females |
p= |
<0.001 |
<0.001 |
<0.001 |
<0.001 |
* data replotted from Edström et al., 2008 |
|
|
|
|
Cohort |
|
Age |
Central nuclei (%) |
Pax7 IR profiles / myo-profile* |
% Ki67-IR of Pax7-IR* |
M5m |
mean |
5 |
3.0 |
0.15 |
6.54 |
n=5 |
±SD |
|
0.6 |
0.03 |
4.67 |
M18m |
mean |
18 |
8.1 |
0.24 |
3.08 |
n=5 |
±SD |
|
3.2 |
0.09 |
4.21 |
M25m |
mean |
25 |
6.6 |
0.14 |
2.65 |
n=5 |
±SD |
|
2.4 |
0.05 |
2.52 |
M30m |
mean |
30 |
16.0 |
0.05 |
3.94 |
n=5 |
±SD |
|
7.6 |
0.02 |
4.28 |
KW |
p= |
|
0.007 |
0.005 |
0.51 |
* average # fibres ≥117 analysed |
|
|
|