Journal of Applied Physiology Information on EB 2010
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Appl Physiol 94: 1479-1484, 2003. First published December 20, 2002; doi:10.1152/japplphysiol.01061.2002
8750-7587/03 $5.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
94/4/1479    most recent
01061.2002v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Welle, S.
Right arrow Articles by Thornton, C. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Welle, S.
Right arrow Articles by Thornton, C. A.
Vol. 94, Issue 4, 1479-1484, April 2003

Reduced amount of mitochondrial DNA in aged human muscle

Stephen Welle1,2, Kirti Bhatt1, Bharati Shah1, Nancy Needler1, Joseph M. Delehanty1, and Charles A. Thornton3

Departments of 1 Medicine, 2 Pharmacology and Physiology, and 3 Neurology, University of Rochester, Rochester, New York 14642


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Muscle concentrations of mRNAs encoded by mitochondrial DNA (mtDNA) decline with aging. To determine whether this can be explained by diminished mtDNA levels, we measured the relative concentrations of mtDNA and a representative mtDNA transcript [encoding cytochrome-c oxidase, subunit 2 (COX-2)] in muscle of young (21-27 yr) and older subjects (65-75 yr). The amount of COX-2 mRNA (relative to 28S rRNA) was 22% lower (P = 0.04) in older muscle, and the amount of mtDNA (relative to nuclear DNA) was 38% lower (P = 0.0002). The average level of mitochondrial transcription factor A (Tfam), a protein essential for mtDNA replication, was similar in younger and older muscle. Tfam mRNA, nuclear respiratory factor-1 mRNA, and several mRNAs encoding proteins required for mtDNA replication were expressed at similar levels in younger and older muscle. The mtDNA concentrations were only weakly related to age-adjusted aerobic fitness (maximal oxygen consumption) and self-reported physical activity levels. We conclude that the lower concentration of mitochondrial mRNAs in older muscle can be explained by a reduced concentration of mtDNA.

aging; gene expression; mitochondrial transcription factor a; nuclear respiratory factor 1; cytochrome-c oxidase


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

MITOCHONDRIAL DNA (mtDNA) encodes 13 proteins essential for electron transport and ATP synthesis, as well as tRNAs and rRNAs needed for their translation. In several species, aging is associated with reduced concentrations of the mRNAs encoded by mtDNA, both in muscle and in other tissues (1, 3, 4, 6, 8, 20, 26). Diminished levels of mitochondrial-encoded mRNAs could be the result of a reduced number of mtDNA molecules, reduced transcription of each mtDNA molecule, or increased mitochondrial mRNA degradation. In the aged human brain, mitochondrial mRNA levels are reduced even though mtDNA levels are increased (3). The mitochondrial mRNA/mtDNA ratios also decline with senescence in rat brain and in Drosophila (4, 8). In contrast, the reduced mitochondrial mRNA expression in muscle of old rats appears to be explained by a lower mtDNA concentration (1). Studies of patients undergoing orthopedic surgery indicated that muscle of older patients had more mtDNA than muscle of young patients (2, 15). However, in one of these studies, the concentrations of mitochondrial-encoded mRNAs were not affected by aging, and in the other they were not determined. Examination of a few of these samples revealed increased expression in older muscle of mitochondrial transcription factor A (Tfam; protein and mRNA), which is required for mtDNA transcription and replication (replication is linked to transcription because RNA primers are required), and of nuclear respiratory factor-1 (NRF-1) mRNA (11). NRF-1 regulates transcription of the Tfam gene and other genes involved in mitochondrial biogenesis and energy production (19). In our previous studies, in which concentrations of mitochondrial-encoded mRNAs were reduced in older muscle, we did not observe an increase in expression of Tfam mRNA (26, 27) or protein (unpublished data). However, we did not examine the mtDNA concentration or NRF-1 expression. We explored this issue further in the present study by comparing levels of mtDNA, Tfam protein and mRNA, and NRF-1 mRNA in young and old muscle. We also examined expression of several mRNAs encoding other proteins required for mtDNA replication. Because a muscle's mtDNA concentration is determined in part by its contractile activity (9), we examined the relation between mtDNA levels and both self-reported physical activity and aerobic fitness [maximal oxygen consumption (VO2 max)].


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subjects were 24 healthy volunteers, 12 of them 21-27 yr old and 12 of them 65-75 yr old (Table 1). All signed a consent form approved by the University of Rochester Research Subjects Review Board, after risks and procedures had been explained.

                              
View this table:
[in this window]
[in a new window]
 
Table 1.   Physical characteristics of subjects

The subjects were students, clerical workers, professional/technical workers, or retirees. We did not enroll any subjects who had been engaged in vigorous exercise for more than 2 h/wk during the month before the initial interview. Physical activity during the 1-yr period before the study was assessed by the monitoring trends and determinants of cardiovascular disease optional study of physical activity questionnaire (14). The questionnaire evaluated the amount of time spent walking and the amount of time spent doing sports and exercises (only those done at least 12 times during the preceding year, and only the two sports or exercises done most frequently). Activities done <12 times in the preceding year, and activities not considered to be a sport or exercise by the subjects, would not be included in responses to these questions. For the present study, we evaluated only sports or exercises that caused a "moderate increase" or a "large increase" in the rate or depth of breathing, excluding those that caused "no change" or a "small increase" in the rate or depth of breathing. The activity questionnaire also instructed subjects to assign their present level of physical activity to one of four categories: 1) no weekly activities; 2) only light activity most weeks; 3) vigorous activity for at least 20 min once or twice each week; 4) vigorous activity for at least 20 min three or more times per week. Vigorous activity was defined as activity causing shortness of breath, rapid heart rate, and sweating.

Body composition was determined by whole-body dual energy X-ray absorptiometry (GE-Lunar Prodigy). VO2 max during stationary bicycling was determined with a standard protocol for increasing the load until exhaustion or until there was no further increase in oxygen consumption. Oxygen consumption was assessed with a MedGraphics CPX/D gas analyzer (Medical Graphics St. Paul, MN). The VO2 max test was separated from the muscle biopsy procedure by at least 3 days.

Needle biopsies of the left vastus lateralis muscle were taken in the morning after subjects had rested for at least 90 min. Samples were frozen in liquid nitrogen within 30 s after removal, then stored at -70°C until analysis. Subjects were asked to refrain from activities more strenuous than walking for 3 days before the muscle biopsy procedure. They stayed at the University of Rochester General Clinical Research Center the night before the biopsy procedure, so that subject-to-subject variability in physical activity was minimized.

DNA was extracted from ~10-20 mg tissue, after degradation of proteins and RNA with proteinase K and RNase, by phenol-chloroform extraction and ethanol precipitation. The total amount of DNA recovered was determined by ultraviolet absorbance. Relative amounts of nuclear DNA (nDNA) and mtDNA were determined by quantitative PCR (26). Because the total amount of nDNA per milligram muscle tissue is unaffected by aging (25), the ratio of mtDNA to nDNA reflects the tissue concentration of mtDNA. For assessment of nDNA, we amplified from 300 ng total DNA per tube a 308-bp segment of the IGF-1 gene. A 241-bp competitive internal standard (8 fg) was amplified with the same primers in the same tube. The sequences of the primers have been published (27). For assessment of mtDNA, we amplified from 3 ng total DNA per tube a 239-bp segment of the COX-2 gene. A 213-bp competitive internal standard (0.75 pg) was amplified with the same primers in the same tube. COX-2 primers were 5'-acctgcgactccttgacgttg and 5'-taggacgatgggcatgaaactg. PCR products were separated by PAGE. The gel was soaked in SYBR Green dye (Molecular Probes, Eugene, OR), and fluorescence of the bands was quantified with a FluorImager (Amersham Biosciences, Piscataway, NJ). The amounts of competitive standards were determined by preliminary experiments, to produce similar amounts of the gene segments and the internal standards after PCR amplification. Standard curves with fixed amounts of competitive standard, and varying amounts of DNA indicated that the ratio of amplified gene to amplified standard was proportional to the initial ratios over a wide range. All samples produced ratios within the ranges of the standard curves.

RNA was extracted from ~40 mg of tissue with TriReagent (Molecular Research Center, Cincinnati, OH) and quantified by ultraviolet absorbance. Quality was confirmed by the presence of ribosomal bands in an agarose gel soaked in ethidium bromide. The gel was scanned with a FluorImager, and the intensity of the 28S band was quantified. An aliquot of the RNA was analyzed with high-density oligonucleotide arrays as described below. Another aliquot was used for reverse transcription of the RNA after treatment with DNase I to remove any genomic DNA present in the RNA samples. The COX-2 cDNA was then quantified by PCR with a competitive internal standard, as described above for COX-2 mtDNA. No COX-2 band was detected when the reverse transcription step was omitted. Because the RNA concentration of muscle is not affected by aging (25, 26), and most of the RNA is ribosomal, the ratio of COX-2 mRNA to 28S rRNA is an index of the tissue concentration of COX-2 mRNA.

Tfam protein expression was determined by Western blotting. Proteins were extracted from ~10-25 mg of tissue with 6 M urea, 1% SDS, and 1% 2-mercaptoethanol (50°C for 30 min). Insoluble proteins were removed by centrifugation. Protein concentrations of the supernatants were determined with the RC DC assay kit (Bio-Rad, Hercules CA). After proteins were separated by SDS-PAGE (100 µg of total protein per lane), they were transferred to nylon membranes. Samples from a younger and an older subject were placed in adjacent lanes, and an equal number of samples from younger and older subjects was analyzed with each membrane. Staining of the blots with SYPRO Ruby (Molecular Probes) confirmed that there was no significant difference in transfer efficiency between samples from younger and older subjects. Polyclonal anti-human Tfam rabbit immunoglobulin, generously donated by Dr. David Clayton (Howard Hughes Medical Institute, Stanford University), was the primary antibody. The secondary antibody (anti-rabbit IgG conjugated to horseradish peroxidase) was detected by chemiluminescence on X-ray film. Quantitation of relative band intensities was done by laser scanning densitometry. Each blot, with six to eight samples per blot, was analyzed as a separate entity to minimize variability introduced by day-to-day variations in incubation and washing times, film exposure times, etc. Thus data were normalized separately for each blot, with the mean background-subtracted band intensity of samples from younger subjects arbitrarily set to a value of 100. Tfam expression could not be determined for six subjects (four younger and two older) because of an insufficient amount of tissue.

Levels of mRNAs encoding Tfam, NRF-1, RNase MRP, DNA polymerase gamma  (catalytic and accessory subunits), single-stranded DNA binding protein 1, and mitochondrial RNA polymerase were analyzed with Affymetrix (Santa Clara, CA) HG-U133A microarrays by the University of Rochester Microarray Core facility with methods that have been described elsewhere (27). These arrays have ~22,000 probe sets; other results will be presented in a separate report. Some of the genes are represented by more than one probe set; in this case, we report the results from the probe set that generated the highest signal. Arrays were normalized so that the average signal across all probe sets, excluding the highest and lowest 2% of the signals, was 500 for each array. Microarray data are not available for 6 of the 24 subjects (4 young men, 2 older women).

Data are presented as means and SD. Comparisons between younger and older subjects were made with two-tailed t-tests. Pearson's correlation coefficient was used to determine the relation between two variables. Statistics were computed with Microsoft Excel 97, except partial correlation coefficients were computed with SPSS 11.5 for Windows.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The lean tissue mass of the legs (excluding bone), relative to body weight, was significantly less in older subjects (Table 1). VO2 max per kilogram body mass was 37% lower in older subjects (Table 1). The lean mass of the legs was a slightly better predictor of VO2 max (r = 0.79) than was total lean body mass (r = 0.76) and was a much better predictor than was total body weight (r = 0.35). When VO2 max was expressed per kilogram of lean tissue mass of the legs, the age-related decline was smaller (20%) but still statistically significant.

The mean COX-2 mRNA level, relative to 28S rRNA, was 22% lower in older muscle than in younger muscle (Fig. 1). There was an even larger decline (38%) in the mtDNA/nDNA ratio with aging of muscle (Fig. 1). Tfam protein and mRNA levels were similar in younger and older muscle (Table 2). There was no effect of age on expression of NRF-1 mRNA or mRNAs encoding proteins essential for mtDNA replication (Table 2).


View larger version (22K):
[in this window]
[in a new window]
 
Fig. 1.   Mean mitochondrial DNA [mtDNA, relative to nuclear DNA (nDNA)] and cytochrome-c oxidase-2 (COX-2) mRNA (relative to 28S rRNA) in 12 younger (21-27 yr old) and 12 older (65-75 yr old) subjects. Error bars are 1 SD. P determined by 2-sided t-test.


                              
View this table:
[in this window]
[in a new window]
 
Table 2.   Expression of genes encoding NRF-1 and some of the proteins required for mtDNA replication

There was a correlation between mtDNA/nDNA ratios and VO2 max (r = 0.58, P = 0.003, Fig. 2). The relation between VO2 max and mtDNA/nDNA ratios appeared to be explained for the most part by the fact that both measures declined with aging, because VO2 max was not a significant predictor of the mtDNA/nDNA ratio after the influence of age was accounted for (partial r = 0.29, P = 0.185), whereas age was a significant predictor of the mtDNA/nDNA ratio after accounting for the influence of VO2 max (partial r = 0.52, P = 0.011).


View larger version (17K):
[in this window]
[in a new window]
 
Fig. 2.   Relation between maximal oxygen consumption (VO2 max) during stationary bicycling, per kilogram lean tissue mass of legs, and mtDNA/nDNA ratio in vastus lateralis. Solid line is the linear regression line for all subjects regardless of age. , Younger subjects; upper dashed line, regression line for younger subjects; , older subjects; lower dashed line, regression line for older subjects.

Seven young subjects who had spent 68-234 h engaged in sports or exercises (done at least 12 times) during the preceding year according to the activity questionnaire had 43% more mtDNA (P = 0.005) than five young subjects who spent 0-26 h in such activities. Only one older subject regularly performed a sport or exercise that significantly increased his rate and depth of breathing (78 h during preceding year), and he had the lowest mtDNA/nDNA ratio. Older subjects reported spending more time walking (mean 1.8 h/day) than did younger subjects (mean 1.3 h/day), but the difference was not statistically significant and there was not a significant correlation between time spent walking and the mtDNA/nDNA ratio within either age group or overall. There also was no apparent relation between self-reported scores for current level of vigorous activity (1-4 scale) and mtDNA/nDNA ratios.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

A decline with aging in the concentration of mtDNA transcripts has been observed in tissues of several species, including human muscle (26). The age-related decrease in muscle levels of COX-2 mRNA, a representative mtDNA transcript, was confirmed in the present study. In principle, this effect could be mediated by a reduced mtDNA concentration, by diminished transcription of mtDNA, by increased mtRNA degradation, or by a combination of these factors. The present study suggests that in human muscle, a reduced number of copies of mtDNA can explain the lower abundance of mitochondrial mRNAs in older subjects. The decline in mtDNA was greater than the decline in COX-2 mRNA, suggesting that there could have been compensatory increases in mtDNA transcription or reduced mtRNA degradation in older muscle.

The reduced mtDNA concentration in older muscle could reflect either fewer mitochondria or fewer copies of mtDNA per mitochondrion. We did not have enough muscle tissue to determine the number of copies of mtDNA per mitochondrion. Previous studies indicated that the total mitochondrial volume within muscle declines with aging because of a reduced volume of each mitochondrion rather than a reduced number of mitochondria (Table 3). On the basis of these data, it seems likely that there are fewer copies of mtDNA per mitochondrion in older muscle.

                              
View this table:
[in this window]
[in a new window]
 
Table 3.   Summary of studies of age-related changes in mitochondrial volume and number in perinuclear, subsarcolemmal, and fibrillar compartments of human skeletal muscle fibers

The present results contrast sharply with studies of orthopedic patients (2, 11, 15), which indicated that aging was associated with increased levels of mtDNA (>1.5-fold), Tfam protein (2.6-fold), Tfam mRNA (11-fold), and NRF-1 mRNA (6-fold). The reason for such discrepant findings is unclear. The orthopedic patients were studied during surgery, but the specific conditions requiring surgery were not listed. In one of the previous studies (15), muscle samples from both the vastus lateralis and rectus abdominalis were used to examine mtDNA content, whereas we examined only vastus lateralis. It is not clear whether the different muscles had different mtDNA levels or whether the type of muscle examined was evenly distributed across age groups. Several orthopedic patients were in their ninth decade of life, whereas older subjects in the present study were all in their seventh and eighth decades. However, the amount of mtDNA (or Tfam and NRF-1 expression) did not change between the eighth and ninth decades in the orthopedic patients.

The present study did not reveal a molecular explanation for the reduced mtDNA concentration in older muscle. According to microarrays, there was no age-related difference in the expression of several genes involved in mtDNA replication. The lack of change in Tfam and mitochondrial RNA polymerase mRNA expression with aging confirms our quantitative RT-PCR data from a separate group of subjects (26). However, we cannot exclude the possibility that aging affected translation of the mRNAs (except for Tfam mRNA, because the Tfam protein concentration also was not affected by aging) or activity of the proteins. It must be emphasized that expression of these genes was determined after subjects had refrained from vigorous physical activity for 3 days. It certainly is possible that intermittent activity-induced increases in expression or activity of these genes for several weeks before the study could have contributed to a greater mtDNA content in young muscle. Another potential explanation is that the mtDNA from older muscle is a poor template for replication. Somatic mutations accumulate with aging in the control region of muscle mtDNA (24). However, if such mutations were to impair replication of mtDNA, they would be expected to be diluted to low levels by the preferential replication of normal mtDNA (unless very little normal mtDNA survives to old age).

The mtDNA concentration depends on both mtDNA replication and mtDNA degradation. One route of mtDNA degradation is lysosomal digestion of the whole organelle. Human mitochondrial bulk protein turnover rate declines with aging (18). Because the mitochondrial inner membrane and matrix appear to turn over as a unit (12), the slower protein turnover suggests slower macroautophagy of mitochondria. If this is the case, there should be a reduced rate of mtDNA loss by organellar degradation in older muscle. The extent to which mtDNA is degraded within intact mitochondria is unclear. There is evidence that oxidatively damaged mtDNA fragments are present in mitochondria (21). It is not known whether aging affects the rate of degradation of mtDNA independently of bulk mitochondrial degradation.

If younger subjects were more active than older subjects during the weeks before the study, this might contribute to their higher mtDNA concentration. The fact that Tfam, NRF-1, and other activity-dependent genes were not differentially expressed in younger and older muscle does not address this issue, because muscle samples were taken after subjects had refrained from vigorous activities for at least 3 days. The fact that young subjects had higher maximal rates of oxygen consumption does not prove that their level of activity was greater, because VO2 max declines with aging even among the most active individuals (7, 17, 22, 23). The lack of a significant correlation between VO2 max and mtDNA content within each age group (Fig. 2) suggests that aerobic fitness was not the primary determinant of mtDNA content. Moreover, responses to a question about the usual weekly volume of vigorous activity at the time of the muscle biopsy suggested that mtDNA levels were lower in older muscle at every activity level. However, responses to other questions suggested that the decline in mtDNA content of older muscle might be explained in part by less participation in vigorous sports or exercises in the months before the muscle biopsy. The questionnaire might not have captured all activities that influence mtDNA levels. The subjective nature of self-assessment of activity, together with the fact that not all "vigorous" activities require a high rate of respiration by the vastus lateralis, makes it difficult to draw conclusions on the basis of questionnaire data. A definitive assessment of the effect of aging independent of altered physical activity would require a more complex study involving long-term control of the amount and type of physical activity. Even if the effect of aging on the muscle mtDNA concentration is secondary to a change in the amount of physical activity, the prevalence of the decline in vigorous activity with aging makes it likely that the present results are applicable to a large proportion of the population.


    ACKNOWLEDGEMENTS

We thank Dr. Andrew Brooks and Kim Wahowski for performing the microarray analyses, Don Henderson for assistance with muscle biopsies, Catherine Muzytchuk for performing the dual-energy X-ray absorptiometry scans, and Dr. David Clayton for providing the anti-Tfam antibody.


    FOOTNOTES

This research was supported by National Institutes of Health Grants AG-17891, AG-18254, and RR-00044.

Address for reprint requests and other correspondence: S. Welle, Univ. of Rochester Medical Center, 601 Elmwood Ave., Box 693, Rochester, NY 14642 (E-mail: stephen_welle{at}urmc.rochester.edu).

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.

First published December 20, 2002;10.1152/japplphysiol.01061.2002

Received 18 November 2002; accepted in final form 12 December 2002.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   Barazzoni, R, Short KR, and Nair KS. Effects of aging on mitochondrial DNA copy number and cytochrome-c oxidase gene expression in rat skeletal muscle, liver, and heart. J Biol Chem 275: 3343-3347, 2000[Abstract/Free Full Text].

2.   Barrientos, A, Casademont J, Cardellach F, Ardite E, Estivill X, Urbano-Marquez A, Fernandez-Checa JC, and Nunes V. Qualitative and quantitative changes in skeletal muscle mtDNA and expression of mitochondrial-encoded genes in the human aging process. Biochem Mol Med 62: 165-171, 1997[Web of Science][Medline].

3.   Barrientos, A, Casademont J, Cardellach F, Estivill X, Urbano-Marquez A, and Nunes V. Reduced steady-state levels of mitochondrial RNA and increased mitochondrial DNA amount in human brain with aging. Brain Res Mol Brain Res 52: 284-289, 1997[Medline].

4.   Calleja, M, Pena P, Ugalde C, Ferreiro C, Marco R, and Garesse R. Mitochondrial DNA remains intact during Drosophila aging, but the levels of mitochondrial transcripts are significantly reduced. J Biol Chem 268: 18891-18897, 1993[Abstract/Free Full Text].

5.   Conley, KE, Jubrias SA, and Esselman PC. Oxidative capacity and ageing in human muscle. J Physiol 526: 203-210, 2000[Abstract/Free Full Text].

6.   Fernandez-Silva, P, Petruzzella V, Fracasso F, Gadaleta MN, and Cantatore P. Reduced synthesis of mtRNA in isolated mitochondria of senescent rat brain. Biochem Biophys Res Commun 176: 645-653, 1991[Web of Science][Medline].

7.   Fitzgerald, MD, Tanaka H, Tran ZV, and Seals DR. Age-related declines in maximal aerobic capacity in regularly exercising vs. sedentary women: a meta-analysis. J Appl Physiol 83: 160-165, 1997[Abstract/Free Full Text].

8.   Gadaleta, MN, Petruzzella V, Renis M, Fracasso F, and Cantatore P. Reduced transcription of mitochondrial DNA in the senescent rat. Tissue dependence and effect of L-carnitine. Eur J Biochem 187: 501-506, 1990[Web of Science][Medline].

9.   Hood, DA. Invited review: contractile activity-induced mitochondrial biogenesis in skeletal muscle. J Appl Physiol 90: 1137-1157, 2001[Abstract/Free Full Text].

10.   Kiessling, KH, Pilstrom L, Karlsson J, and Piehl K. Mitochondrial volume in skeletal muscle from young and old physically untrained and trained healthy men and from alcoholics. Clin Sci 44: 547-554, 1973[Web of Science][Medline].

11.   Lezza, AM, Pesce V, Cormio A, Fracasso F, Vecchiet J, Felzani G, Cantatore P, and Gadaleta MN. Increased expression of mitochondrial transcription factor A and nuclear respiratory factor-1 in skeletal muscle from aged human subjects. FEBS Lett 501: 74-78, 2001[Web of Science][Medline].

12.   Menzies, RA, and Gold PH. The turnover of mitochondria in a variety of tissues of young adult and aged rats. J Biol Chem 246: 2425-2429, 1971[Abstract/Free Full Text].

13.   Orlander, J, Kiessling KH, Larsson L, Karlsson J, and Aniansson A. Skeletal muscle metabolism and ultrastructure in relation to age in sedentary men. Acta Physiol Scand 104: 249-261, 1978[Web of Science][Medline].

14.   Pereira, MA, FitzerGerald SJ, Gregg EW, Joswiak ML, Ryan WJ, Suminski RR, Utter AC, and Zmuda JM. A collection of physical activity questionnaires for health-related research. Med Sci Sports Exerc 29: S1-S205, 1997[Medline].

15.   Pesce, V, Cormio A, Fracasso F, Vecchiet J, Felzani G, Lezza AM, Cantatore P, and Gadaleta MN. Age-related mitochondrial genotypic and phenotypic alterations in human skeletal muscle. Free Radic Biol Med 30: 1223-1233, 2001[Web of Science][Medline].

16.   Poggi, P, Marchetti C, and Scelsi R. Automatic morphometric analysis of skeletal muscle fibers in the aging man. Anat Rec 217: 30-34, 1987[Medline].

17.   Pollock, ML, Mengelkoch LJ, Graves JE, Lowenthal DT, Limacher MC, Foster C, and Wilmore JH. Twenty-year follow-up of aerobic power and body composition of older track athletes. J Appl Physiol 82: 1508-1516, 1997[Abstract/Free Full Text].

18.   Rooyackers, OE, Adey DB, Ades PA, and Nair KS. Effect of age on in vivo rates of mitochondrial protein synthesis in human skeletal muscle. Proc Natl Acad Sci USA 93: 15364-15369, 1996[Abstract/Free Full Text].

19.   Scarpulla, RC. Nuclear control of respiratory chain expression in mammalian cells. J Bioenerg Biomembr 29: 109-119, 1997[Web of Science][Medline].

20.   Schwarze, SR, Weindruch R, and Aiken JM. Decreased mitochondrial RNA levels without accumulation of mitochondrial DNA deletions in aging Drosophila melanogaster. Mutat Res 382: 99-107, 1998[Web of Science][Medline].

21.   Suter, M, and Richter C. Fragmented mitochondrial DNA is the predominant carrier of oxidized DNA bases. Biochemistry 38: 459-464, 1999[Medline].

22.   Tanaka, H, DeSouza CA, Jones PP, Stevenson ET, Davy KP, and Seals DR. Greater rate of decline in maximal aerobic capacity with age in physically active vs. sedentary healthy women. J Appl Physiol 83: 1947-1953, 1997[Abstract/Free Full Text].

23.   Trappe, SW, Costill DL, Vukovich MD, Jones J, and Melham T. Aging among elite distance runners: a 22-yr longitudinal study. J Appl Physiol 80: 285-290, 1996[Abstract/Free Full Text].

24.   Wang, Y, Michikawa Y, Mallidis C, Bai Y, Woodhouse L, Yarasheski KE, Miller CA, Askanas V, Engel WK, Bhasin S, and Attardi G. Muscle-specific mutations accumulate with aging in critical human mtDNA control sites for replication. Proc Natl Acad Sci USA 98: 4022-4027, 2001[Abstract/Free Full Text].

25.   Welle, S, Bhatt K, and Thornton C. Polyadenylated RNA, actin mRNA, and myosin heavy chain mRNA in young and old human skeletal muscle. Am J Physiol Endocrinol Metab 270: E224-E229, 1996[Abstract/Free Full Text].

26.   Welle, S, Bhatt K, and Thornton CA. High-abundance mRNAs in human muscle: comparison between young and old. J Appl Physiol 89: 297-304, 2000[Abstract/Free Full Text].

27.   Welle, S, Brooks AI, and Thornton CA. Computational method for reducing variance with Affymetrix microarrays. BMC Bioinformatics 3: 23, 2002[Medline].


J APPL PHYSIOL 94(4):1479-1484
8750-7587/03 $5.00 Copyright © 2003 the American Physiological Society



This article has been cited by other articles:


Home page
Am. J. Physiol. Endocrinol. Metab.Home page
J. E. Galgani, C. Moro, and E. Ravussin
Metabolic flexibility and insulin resistance
Am J Physiol Endocrinol Metab, November 1, 2008; 295(5): E1009 - E1017.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
M. G. Giannoulis, N. Jackson, F. Shojaee-Moradie, K. S. Nair, P. H. Sonksen, F. C. Martin, and A. M. Umpleby
The Effects of Growth Hormone and/or Testosterone on Whole Body Protein Kinetics and Skeletal Muscle Gene Expression in Healthy Elderly Men: A Randomized Controlled Trial
J. Clin. Endocrinol. Metab., August 1, 2008; 93(8): 3066 - 3074.
[Abstract] [Full Text] [PDF]


Home page
NeurologyHome page
S. E. Durham, D. T. Brown, D. M. Turnbull, and P. F. Chinnery
Progressive depletion of mtDNA in mitochondrial myopathy
Neurology, August 8, 2006; 67(3): 502 - 504.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
K. R. Short, M. L. Bigelow, J. Kahl, R. Singh, J. Coenen-Schimke, S. Raghavakaimal, and K. S. Nair
From the Cover: Decline in skeletal muscle mitochondrial function with aging in humans
PNAS, April 12, 2005; 102(15): 5618 - 5623.
[Abstract] [Full Text] [PDF]


Home page
Journals of Gerontology Series A: Biological Sciences and Medical SciencesHome page
J. L. Hagen, D. J. Krause, D. J. Baker, M. H. Fu, M. A. Tarnopolsky, and R. T. Hepple
Skeletal Muscle Aging in F344BN F1-Hybrid Rats: I. Mitochondrial Dysfunction Contributes to the Age-Associated Reduction in VO2max
J. Gerontol. A Biol. Sci. Med. Sci., November 1, 2004; 59(11): 1099 - 1110.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
94/4/1479    most recent
01061.2002v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Welle, S.
Right arrow Articles by Thornton, C. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Welle, S.
Right arrow Articles by Thornton, C. A.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online