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HIGHLIGHTED TOPICS
Physiology of Aging
1Departments of Biomedical Sciences and of Pharmacology and Physiology, and the Dalton Cardiovascular Institute University of Missouri at Columbia; 2Department of Veterinary Pathobiology and 3Department of Statistics, University of Missouri at Columbia, Columbia, Missouri 65211
Submitted 12 May 2003 ; accepted in final form 24 July 2003
| ABSTRACT |
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aged; mRNA; rehabilitation; growth
10% of peak muscle mass is lost, and another 30% disappears by 80 yr of age (27). The health implications of muscle loss in the elderly are further exacerbated by the fact that aged populations seem to have a limited capacity to recover skeletal muscle mass after a bout of atrophy (29, 35). Skeletal muscles from old humans and animals also do not hypertrophy as well as their younger counterparts. In younger individuals, the exact time course for muscle fiber hypertrophy is not well documented but is thought to require at least 6-7 wk of regular resistive training at reasonably high intensity before increases in fiber cross-sectional area are deemed significant (33). Conversely, in humans averaging 87 yr of age, 10 wk of progressive resistance training increased thigh area by only 3% and knee strength by 200%, which Fiatarone et al. (16) attributed to an improved neural recruitment of existing, but underused, skeletal muscle, not actual hypertrophy. Animal studies further confirm the human observations in that skeletal muscle atrophied by hindlimb immobilization regrows on remobilization to its preatrophy size in younger (5, 9) but not older rats (8, 39). Some studies have found that mechanically overloaded skeletal muscle hypertrophies less in old than young rats (1, 4, 12). Thus the capacity of skeletal muscle to grow in response to increasing mechanical loads appears to be diminished in old human and animal subjects. Inappropriate levels of factors permitting growth may underlie impaired muscle regrowth from atrophy at old age. For example, high-resistance exercise enhanced IGF-IEc mRNA (mechanogrowth factor) level in the vastus lateralis muscle of young, but not of old, human subjects (19). Delivery of exogenous IGF-I has been shown to rescue muscle from sarcopenia in old rodents (3, 8). Because many growth factors have been shown to alter muscle growth (17), the hypothesis was generated that a deficiency of multiple growth factors (an unknown "growth factor milieu") contributes to the incomplete regrowth of skeletal muscle in old animals. Another observation supporting a growth factor deficiency in old skeletal muscle is that a nearly complete or complete muscle regrowth is observed after myotoxin application (7). The effect of myotoxin treatment is to remove all muscle fiber protein and sarcolemma (sparing satellite cells, basal lamina, and nerves), which putatively releases growth factors for a massive regeneration process (7). Welle (38) contends that, although skeletal muscle has the capacity to regenerate itself, this process is not activated during the gradual age-related loss of skeletal muscle. In support of the aforementioned postulate, data from Fiatarone et al. (15) suggest that weight lifting did induce regeneration in the elderly, as evidenced by increased embryonic myosin heavy chain expression but was not sufficient to elicit muscle growth. Thus the hypothesis was generated that mRNAs for a subpopulation of growth factors would be differentially expressed between the regrowing soleus muscle of young rats and the nonregrowing soleus muscles of old rats. Affymetrix microarrays containing >24,000 genes and expressed sequence tags (ESTs) were employed to provide a global, unbiased determination of differential mRNA expression. To produce a muscle atrophied by inactivity for testing regrowth, young and old rats had their hindlimbs immobilized for 10 days, which resulted in a 27-37% atrophy of the soleus muscle. Changes in gene expression were then determined from soleus muscle samples at postimmobilization days 3, 6, 10, and 30. By doing a comprehensive mRNA assay, future hypotheses can be generated and subsequently tested, such as whether there is a group of genes involved in a common senescence program that prevent muscle growth that could potentially be altered, whether there are unidentified growth factors critical to muscle growth that are lacking in old muscle recovery, or whether there are potential molecular targets that can be manipulated to enhance growth of sarcopenic muscle or prevent sarcopenia altogether.
| MATERIALS AND METHODS |
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Sample processing. Total RNA was extracted from an aliquot of muscle powder when put directly into TRIzol (Invitrogen; Carlsbad, CA) and homogenized on ice by using a Polytron homogenizer (Kinematica; Lucerne, Switzerland) on setting 7 for three pulses of 15 s each. RNeasy columns (Qiagen; Valencia, CA) were employed to further purify the extracted total RNA. Methods for sample preparation described in detail in the Affymetrix Expression Analysis Technical Manual (Santa Clara, CA) are briefly described next. cDNA synthesis was done on 10-µg aliquots of purified total RNA by using a T7-(dT)24 primer (100 pmol/µl). cDNA synthesis reactions were executed by using components of the Superscript Choice kit (Invitrogen; Carlsbad, CA), with all incubations done in a Mastercycler Gradient thermocycler (Eppendorf; Westbury, NY). The resulting double-stranded cDNA was quantified by use of a PicoGreen kit (Molecular Probes; Eugene, OR). One microgram of double-stranded cDNA was used in the in vitro transcription reaction employing biotinylated nucleotides and reagents provided in the BioArray high yield RNA transcript labeling kits (Enzo Diagnostics; Farmingdale, NY). The cRNA product was further purified by use of RNeasy columns (Qiagen). The purified biotinylated cRNA was then fragmented and subsequently hybridized to Affymetrix rat genome U34A, B, and C arrays. All arrays were analyzed by fluorescent intensity scanning according to Affymetrix protocols (Affymetrix Expression Analysis Technical Manual). The hybridization and scanning of the arrays were performed in the University of Missouri DNA Core Facility (Columbia, MO).
GeneChip analysis. The rat genome U34 array set contained 26,388 probe sets. The present experiment interrogated the relative abundance of
24,000 genes and EST clusters (based on UniGene Build 34). Each probe set contained 16 perfectly matched (complementary) 25-mers, corresponding to different regions along the length of a transcript. Similarly, 16 mismatched pairs (encoding a single mutated base) that did not perfectly complement a mRNA's sequence were used as a measure of nonspecific background binding. Microarray Suite 5.0 software (Affymetrix) was used, which employs a one-sided Wilcoxon's signed-rank test to calculate a P value reflecting the significance of differences between the perfectly matched and mismatched probe pairs, on the basis of their fluorescence intensities. The resulting P values were used as a qualitative assessment of the ability to detect a given transcript, where P values < 0.04 were called "Present," P values between 0.04 and 0.06 were called "Marginal," and P values > 0.06 were called "Absent." Only probe sets that were Present or Marginal in
60% of the samples for an experimental group were analyzed statistically. In total, 13,916 probe sets were sufficiently detected in at least one of the experimental groups, i.e., young or old soleus muscles. Microarray Suite 5.0 software (Affymetrix) utilizes statistically based algorithms to determine transcript abundance on the basis of fluorescence intensities (termed "signal"). The signal for each probe set was calculated as the one-step biweight estimate of the combined differences of all of the probe pairs in a probe set. All array data were normalized by scaling to target signal of 150. The calculated signal value was the variable utilized for all subsequent statistical analyses. Fold changes were calculated by dividing the mean signal intensities of the groups to be compared. In the past, microarray data analyses have been criticized as being "quite elusive about measurement reproducibility" (11). However, Bakay et al. (2) have reported that experimental error among Affymetrix microarrays is not a significant source of unwanted variability in expression profiling experiments (R2 = 0.979). Duplicate arrays were found to have small variability (R2 = 0.981) in the present experiment. Microarray data are available on the GEO database, in MIAME format (see Supplemental Data Tables 1 and 21).
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Real-time PCR. Total RNA samples were purified over an RNeasy column (Qiagen). Total RNA was reverse transcribed into double-stranded cDNA during the previous cDNA synthesis for array sample processing with a T7-oligo(dT)24 primer. The resulting double-stranded cDNA was quantified by use of a PicoGreen kit (Molecular Probes). All 5' nuclease assays consisted of reactions containing 25 ng of cDNA, 250 nM MGB probe, 900 nM primers and Taqman7 Universal PCR Master Mix (ABI), in a 25 µl volume in duplicate with an ABI Prism 7000 sequence detection system. If a duplicate contained a range of >0.3 cycle time (CT), it was reassayed. All probe/primer combinations were designed using Primer-Express 2.0 (ABI) (Primer/probe sequences are in Supplementary Table 31). Real-time PCR data were analyzed for relative changes in expression by use of the 
CT method, according to User Bulletin no. 2 ABI PRISM 7700 sequence detection system. Relative efficiency plots were run to validate use of the 
CT method, where all slopes were <0.1. All targets were normalized to p38 mRNA expression. The expression of p38 was examined with an ANOVA on the factor combinations, examining the pairwise combinations of interest (young recovery vs. old recovery on days 3, 6, 10, and 30). Expression of p38 remained unchanged in the pairwise combinations of interest. Data are expressed as the calculated fold differences between different experimental groups (young control, young immobilized, old control, and old immobilized). Because of the limited amount of RNA isolated, some samples were exhausted before real-time PCR analysis, whereby the entire old 6-day control group was depleted; thus old controls from adjacent time points (3- and 10-day old controls) were used for statistical analyses of the gene expression changes at the 6th day of recovery. All other groups had n = 3-5 for real-time analyses.
Statistical methods. A three-factor ANOVA was employed to compare the signal values of young and old soleus groups (immobilized/controls) after 0, 3, 6, 10, and 30 days postimmobilization. Furthermore, a false discovery rate (FDR) adjusted P = 0.01 was applied to correct for the multiple ANOVAs performed on 13,916 probe sets that had been detected as present. As rats were killed in groups of five over a 40-day period, a one-way ANOVA was performed to determine whether any one control group differed from the other groups. Groups of young and old rats were analyzed separately. For real-time PCR analysis, the differences in 
CTs were analyzed with a 2 x 2 ANOVA at each time point with P < 0.05 set as significant for individual comparisons between different experimental groups (young control, young immobilized/recovery, old control, and old immobilized/recovery).
Database searching. The target sequences for the probe sets that differed significantly were analyzed with nucleotide BLAST analysis to identify known genes and to determine significant gene homologies with other species (http://www.ncbi.nlm.nih.gov/BLAST/). The target sequence is the region of a given gene or EST that was probed by the RG U34 arrays. Further information about a given sequence and its homologs and orthologs was procured from the Locuslink, Homologene, OMIM, mouse genome, rat genome, NetAffx, and Proteome databases (http://www.ncbi.nlm.nih.gov/LocusLink/, http://www.ncbi.nlm.nih.gov/HomoloGene/, http://www.ncbi.nlm.nih.gov/entrez/, http://www.informatics.jax.org/, http://rgd.mcw.edu/, https://www.affymetrix.com/analysis, https://www.incyte.com/proteome/databases). A gene's biological processes and molecular functions were classified by the defined gene ontologies given in the aforementioned databases.
| RESULTS |
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A FDR adjustment for multiple testing was used, with the FDR taken to be 0.01. In this set of tests, the FDR level corresponded to an unadjusted P < 4.6 x 10-5. There were 64 probe sets that showed P < 4.6 x 10-5 in testing the overall model in the three-way ANOVA. With the use of an FDR adjustment for multiple testing at a level of 0.01, one would predict
1 false positive out of the 64 significant differences. Three examples of differentially expressed mRNAs were selected for discussion, and their results are presented next. Elfin mRNA was less in the old rats at the 6th, 10th, and 30th recovery day (Figs. 2). Amphiregulin expression showed a unique spike in expression (
2-fold) in young soleus muscles after 10 days of reloading but no increase during recovery in the old soleus muscle (Fig. 3). Clusterin mRNA expression showed no change at any recovery time point in the soleus muscle of young rats while displaying increased expression in old soleus muscle at the 3rd, 6th, and 10th days of recovery (Fig. 4). Changes in mRNA expression for Elfin, amphiregulin, and clusterin were confirmed by real-time PCR (Table 1).
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| DISCUSSION |
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In the present study, an animal model of hindlimb immobilization was employed to produce atrophy of the soleus muscle for the purposes of testing the hypothesis that mRNAs for various growth factors would be differentially expressed between the regrowing soleus muscles of young rats and the nonregrowing soleus muscles of old rats after the immobilization was removed. The hypothesis was based on the failure of the soleus muscle of old rats to regrow after atrophy from hindlimb immobilization (8, 39), whereas young muscles did successfully regrow after immobilization (5, 9, Fig. 1 of present study). Growth factors were selected for the hypothesis because two groups have shown rescue of old skeletal muscle from atrophy by addition of exogenous IGF-I (3, 8), whereas the upregulation of endogenous growth factors does not appear to improve muscle growth (19). It was, therefore, deduced that an undefined growth factor milieu might be missing within the old, atrophied skeletal muscle and that microarrays could be employed as a global screen to identify potential genes for future study. Microarrays with
24,000 genes and ESTs were employed for an unbiased assessment of the hypothesis. The strategy was that identification of differentially expressed mRNAs between regrowing young and nonregrowing old soleus muscles would provide unexpected new candidates for growth-stimulatory factors missing in the soleus muscle of old rats but present in young or inhibitory factors present in old that were absent in young.
Elfin mRNA was higher in the soleus muscle of young than old rats on recovery days 6, 10, and 30 (Fig. 2). Elfin (previously named CLIM1) is a member of the Enigma family of cytoplasmic proteins that contain a NH2-terminal PDZ domain and a series of COOH-terminal LIM domains (25). COOH-terminal LIM domain proteins are associated with the cytoskeleton and act as modular protein-binding interfaces mediating protein-protein interactions in the cytoplasm and nucleus by influencing the localization and activity of its specific protein partners (21, 23). In a blot of 16 human tissues, Elfin mRNA was expressed highest in the heart and next highest in skeletal muscle (26). Elfin colocalizes with
-actinin at Z-discs in the human myocardium (24), is expressed throughout the developing heart at embryonic day 8.5 (25), and colocalizes with actin stress fibers in C2C12 myoblasts (25). An emerging concept in muscle cell biology is that cytoskeletal-associated proteins may serve as molecular messengers that enable muscle cells to sense load or stretch and then signal a physiological response (10, 13). Elfin could be such a molecule. From the above context, we hypothesize that limited signaling from the Z-disc in the soleus muscle of old rats recovering from atrophy may contribute to its insufficient regrowth.
Amphiregulin mRNA was significantly increased in the soleus muscle at the 10th recovery day in only the young, but not in the old, rats (Fig. 3). Amphiregulin, also known as schwannoma-derived growth factor, is an autocrine growth factor as well as a mitogen for astrocytes, Schwann cells, and fibroblasts. Amphiregulin is also a mitogen for adult neural stem cells (15). Nerve terminal disruption, exposed junctional folds, and postsynaptic areas that contained little or no postjunctional folds were present at the neuromuscular junction of the soleus muscle on the 5th day of hindlimb immobilization, suggesting neural plasticity (14). Neuromuscular remodeling occurs in old skeletal muscle (6). Therefore, considering the above information, the lack of increase in amphiregulin mRNA in the old soleus muscle sets up the hypothesis for future studies that insufficient amphiregulin gene expression contributes to the failure of old skeletal muscle to recover from immobilization-induced atrophy because of insufficient neural neutrophic factors.
Whereas amphiregulin mRNA was significantly greater in the soleus muscle of young than in old rats at the 10th recovery day, the age effect was reversed for clusterin mRNA. Old rats had significantly more clusterin mRNA in their soleus muscles during recovery than young rats (Fig. 4). Peak expression of clusterin mRNA (
3-fold increase) was observed at 3 days of recovery and remained significantly elevated through 10 days of recovery in old soleus muscle recovery. Conversely, young soleus muscles showed no significant changes in clusterin expression from control levels in any of the time points measured. Clusterin (also known as complement lysis inhibitor, SP-40, sulfated glycoprotein 2, testosterone-repressed prostate message 2, and apolipoprotein J) is a heterodimeric-conserved glycoprotein that is expressed in a wide variety of tissues and found in all human fluids (36). Its precise function is still uncertain, although it has been implicated in several diverse physiological processes such as developmental remodeling, apoptotic disease states as well as neurodegeneration in Alzheimer's disease, response to injury, and other stresses (22). Rat clusterin is expressed at high levels in dying cells, suggesting an involvement in the process of cell death, with a role in the terminal complement reaction acting as a control mechanism of the complement cascade; specifically, binding a C5b-C7 complex to the membrane of the target cell, and in this way inhibits complement-mediated cytolysis (34). However, clusterin can act to either promote or inhibit cell death, depending on the cellular context (22), e.g., mice devoid of the clusterin gene have 50% less brain injury after neonatal hypoxia injury (20), whereas clusterin limits progression of autoimmune myocarditis and protects the heart from postinflammatory tissue destruction (28). On the basis of the spike in clusterin mRNA only in the nonregrowing soleus muscle in old rats, the hypothesis is made that clusterin could play some inhibitory role, possibly signaling cell death, in the failure of old soleus muscles to regrow from atrophy after immobilization-induced atrophy ceases.
Other mRNAs identified as differentially expressed fell into a host of functional categories (listed in Table 2). Other known growth factor-related mRNAs identified with three-factor interactions included interleukin-15, IGF-binding protein-3, an EST similar to mouse pre-B-cell colony-enhancing factor, and an EST weakly similar to rat PDGF receptor-
. However, some of the aforementioned growth factor-related mRNAs seemed to show more of an atrophy-specific effect than a true recovery effect. The atrophy-specific effects have been reported in detail elsewhere (Pattison et al., unpublished observations). The hypothesis of the present study that a group of "growth factor milieu" mRNAs would be differentially regulated between young, regrowing and old soleus muscle failing to regrow was not conclusively supported (Table 2). However, the failure to find a disproportionate number of growth factor mRNAs should not be interpreted to mean that these are unimportant in soleus muscle regrowth, because changes in only a few critical growth factors could ameliorate the failed muscle regrowth of old soleus muscles after hindlimb immobilization.
In summary, the present analysis identified 64 new candidates, including 38 ESTs, whose inappropriate gene expression could play some role in the failure of old skeletal muscle to regrow to its preatrophy mass after ending immobilization. Among these, the growth factor amphiregulin supports our initial hypothesis that a deficiency of multiple growth factor mRNAs (an unknown growth factor milieu) contributes to the incomplete regrowth of skeletal muscle from inactivity-induced atrophy in old animals. Future work could show roles for Elfin between regrowing young muscle and nonregrowing old muscle gene expression in maintenance and growth of muscle mass. Finally, the upregulation in old skeletal muscle of clusterin mRNA, whose protein has been associated with increased cell death, could contribute to the poor regrowth of old atrophied muscle.
| DISCLOSURES |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
1 The supplementary materials for this article are available online at http://jap.physiology.org/cgi/content/full/00500.2003/DC1. ![]()
| REFERENCES |
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