Current Opinion in Clinical Nutrition & Metabolic Care:
AGEING: BIOLOGY AND NUTRITION: Edited by Tommy Cederholm and John E. Morley
Aging and muscle: a neuron's perspective
Manini, Todd M.a; Hong, S. Leeb; Clark, Brian C.b
aInstitute of Aging and the Department of Aging and Geriatric Research, University of Florida, Gainesville, Florida
bOhio Musculoskeletal and Neurological Institute (OMNI) & the Department of Biomedical Sciences, Ohio University, Athens, Ohio, USA
Correspondence to Todd M. Manini, Ph.D., University of Florida, Gainsville, FL 32611, USA. E-mail: email@example.com
Purpose of review: Age-related muscle weakness causes a staggering economic, public, and personal burden. Most research has focused on internal muscular mechanisms as the root cause to strength loss. Here, we briefly discuss age-related impairments in the brain and peripheral nerve structures that may theoretically lead to muscle weakness in old age.
Recent findings: Neuronal atrophy in the brain is accompanied by electrical noise tied to declines in dopaminergic neurotransmission that degrades communication between neurons. Additionally, sensorimotor feedback loops that help regulate corticospinal excitability are impaired. In the periphery, there is evidence for motor unit loss, axonal atrophy, demyelination caused by oxidative damage to proteins and lipids, and modified transmission of the electrical signal through the neuromuscular junction.
Summary: Recent evidence clearly indicates that muscle weakness associated with aging is not entirely explained by classically postulated atrophy of muscle. In this issue, which focuses on ‘Ageing: Biology and Nutrition’ we will highlight new findings on how nervous system changes contribute to the aging muscle phenotype. These findings indicate that the ability to communicate neural activity to skeletal muscle is impaired with advancing age, which raises the question of whether many of these age-related neurological changes are mechanistically linked to impaired performance of human skeletal muscle. Collectively, this work suggests that future research should explore the direct link of these ’upstream’ neurological adaptions and onset of muscle weakness in elders. In the long term, this new focus might lead to novel strategies to attenuate the age-related loss of muscle strength.
‘What we have here is [a] failure to communicate,’ said the Captain in the 1967 film Cool Hand Luke. This line rings true today as it relates to the failure of physiologists to communicate the mechanisms of muscle strength to the geriatrics community, in which the lack of muscle strength observed in older adults holds high clinical significance. Similarly, there is a relative under-recognition in the scientific community for the potential role of the brain's failure to communicate with skeletal muscle as a central component of muscle weakness in older adults. For the better part of the last quarter century scientific endeavors have primarily focused on the role of muscle wasting (sarcopenia) in explaining strength loss in seniors [1▪▪], with relatively little attention paid to understanding the role of the nervous system despite calls for investigations of this nature from pre-eminent scientists more than 25 years ago . Developing a detailed understanding of the brain, which is commonly referred to as ‘the final frontier of science’, is still in its relative infancy, but there are already several key observations that clearly attest to the power of the mind as it relates to muscle force production. For example, findings that training with mental imagery of strong muscle contractions increases muscle strength also implicates the brain and its ability to produce a descending command as a key mechanistic determinant of maximal voluntary muscle strength . Collectively, these findings provide general proof-of-concept support for the nervous system, at times at least, being a limiting factor in muscle performance. In this article, we will highlight key findings on age-related changes in the nervous system, which theoretically may be linked to impaired performance of human skeletal muscle.
AGING AND THE NEUROMUSCULAR SYSTEM
It is well established that aging is associated with dramatic reductions in muscle strength (dynapenia) and motor performance . For example, data from the most recent longitudinal aging study suggest that muscle strength decreases at a staggering rate of ∼3% per year between the ages of 70 and 79 years . The resultant muscle weakness is independently associated with the development of disability, impairment of functional capacity , fall risk , and even mortality . Although it is clear that senescence of muscle and nervous systems are key targets for understanding declines in voluntary strength, this article will focus its efforts on neural characteristics (see Fig. 1 for an overview of targeted areas) .
Aging and brain structure
There are over 100 billion cells in the brain with the cerebral cortex containing between 17 and 26 billion neurons [9,10]. Neurons in the brain (as well as the spinal cord) essentially come in two flavors, excitatory neurons that transmit and amplify signals, and inhibitory neurons that inhibit and refine those signals. The relative balance of excitatory and inhibitory synaptic inputs determines whether or not a neuronal event occurs (e.g., an action potential). The neurons in the premotor and motor cortex form a complex network of glutamatergic interneurons, afferent projections, and pyramidal neurons that project to several areas of the central nervous system that include the striatum and spinal cord. The main output cells of the human motor cortex are pyramidal cells, which use the excitatory amino acid glutamate as their neurotransmitter , and terminate directly on motor neurons in the ventral horn of the spinal cord, providing the most direct pathway for movement execution . The nonpyramidal stellate cells, which comprise 25–30% of cortical neurons in the motor cortex, do not project beyond the cortex. Stellate cells are divided into spiny and nonspiny cell types, with spiny stellate cells being primarily located in layer IV and using glutamate as their neurotransmitter and nonspiny stellate cells being located in all layers and using the neurotransmitter γ-aminobutyric acid (GABA) to make inhibitory synapses with pyramidal cells . The GABAergic inhibitory system is largely responsible for the task specificity of pyramidal tract neurons in the motor cortex, plays an essential role in isolating movements, and is also important in neuroplasticity.
Neuronal atrophy, but not the loss of motor cortical neurons per se, primarily occurs with aging . For example, high resolution structural MRI has been used to demonstrate that prominent atrophy occurs as early as middle age in many regions of the cerebral cortex including the primary motor cortex . In addition to changes in the overall size of the motor cortex, there is also evidence that age-related differences exist in white matter mass and length of myelinated nerve fibres . Specifically, Marner et al. examined brain tissue from 36 individuals ranging in age from 18 to 93 years and found that individuals lose ∼45% of their of myelinated fiber length in the brain white matter, with this reduction being particularly pronounced in the smallest nerve fibers . It has been argued that because senescence does not lead to a widespread loss of cortical neurons, the degeneration of pyramidal neurons can occur without the loss of the bodies of their parent cells [15▪]. Thus, aging leads, in part, to an inability to regenerate axons following degeneration due to a decline in the rate of transport of the materials necessary for axonal regeneration [15▪]. From a functional standpoint, it seems likely that these age-related changes in the cerebral cortex would affect corticocortical and corticospinal connectivity potentially leading to impaired muscle strength.
Aging, neural noise, and human motor cortex plasticity
As the brain ages, its capacity to transmit signals and communicate is decreased. Central to such declines in aging is an increase in neural noise, that is, a greater presence of random background activity in the brain signal. Effectively, the electrical signals transmitted by the aging brain are analogous to a fuzzy television signal received through a satellite receiver or antenna. Much like the poor reception on the television, the precision of the neural information being transmitted becomes inaccurate when contaminated by noise (for review see ). In this sense, the activation of neurons and motor units becomes unpredictable as noise results in the strength of the electrical signal sent across the nervous system to randomly fall below the threshold of activation. There is now ample empirical evidence of increased intra-individual variability in both cognitive and motor behavior in aging (for review see reference ).
Increased neural noise is often related to declines in dopaminergic (DA) neurotransmission, in which aging leads to the loss of DA neurons in the striatum . Recent research using PET shows that increased reaction times in the elderly is associated with the loss of dopamine (D1) receptors [19▪▪]. Not only does decreased dopamine lead to increased neural noise, it also results in scattered or unfocused patterns of behavior, effectively, reducing the ability to harness available neural resources (for review see reference ). A second mechanism of increased noise is the presence of excessively high levels of extracellular glutamate around the neurons. When glutamate uptake is blocked, increased noise in neural signals is observed . Aging is associated with an altered interaction between glutamate, dopamine, and GABA . Overall, the effects of aging leads to reduced dopamine release and glutamate uptake, with both leading to potential effects on the ability to produce muscle force and motor control.
A number of studies in recent years indicate that while the aging brain retains its plasticity, its neuroplastic and neuromodulatory capabilities are frequently diminished [23,24▪▪,25,26]. Several transcranial magnetic stimulation (TMS) studies, which can provide an insight into the GABAergic inhibitory system [27,28] have illustrated that older adults have impaired sensorimotor integration of afferent input. For example, older adults have reduced modulatory capacity of short-interval intracortical inhibition (primarily reflecting GABA-mediated inhibition) during response preparation for a motor task , and exhibit reductions in the ability to modulate motor cortex excitability in response to electrical stimulation [24▪▪,25]. Because GABAergic neurons inhibit dopamine release, it is plausible that this reduced capacity for inhibitory modulation in aging is associated with increased neural noise.
Mechanisms underlying reduced motor cortex plasticity in elders are poorly understood. It is possible that age-related declines in long-term potentiation , neurotransmitters , or gene expression  important for synaptic plasticity are partly responsible. Unfortunately, the functional relevance of age-related changes in neurotransmitters and neuroplasticity in the cerebral cortex as it relates to muscle weakness, is poorly understood. The majority of studies examining the relationships between physiologic and functional parameters have primarily focused on associations with motor control and manual dexterity, but not maximal muscle strength [32,33]. As such, further work is needed to better understand whether the myriad morphological and functional aging adaptations to the brain have a functional significance as it relates to muscle weakness.
AGING OF MOTOR UNITS AND PERIPHERAL NERVES
A motor unit comprises a single peripheral neuron and its innervated muscle fibers . They serve as the ‘final common pathway’ for all motor commands, with each motor neuron typically having ∼50 000 synaptic inputs to convey these commands and thus their behavior can be influenced by many factors . Aging is associated with morphological, physiological, and behavioral changes in motor units . Regarding the former, motor units are gradually lost over the first six decades of life, but accelerate thereafter  – a pattern that closely mimics dynapenia . There are a countless number of physiological and behavioral changes that include reduced amplitude, altered synchronization and more variable discharges of motor units during muscle contractions . Additionally, the conduction velocities of efferent axons demonstrate a marked reduction in late life . Axonal atrophy and remodeling of the neuromuscular junction (NMJ) might provide pathological explanations and are discussed below.
The axons of aged animals and humans exhibit declines in axonal transport, degenerated mitochondria, and accumulations of filaments [39–41]. These changes may culminate in axonal atrophy that is often seen in neurodegenerative diseases, but also seem to occur with senescence . It has been established that myelinated peripheral nerves from aged animals have axon loss and morphological irregularities, as well as a notable reduction in the expression of myelin, neurofilament genes and proteins . Damaged axons undergo a complex degeneration and regeneration process that is impaired and delayed with aging . The process, called ‘dying back’ occurs when an impaired axon progressively regresses towards the cell body . This is the most common pathology when the axon is faced with toxic, metabolic or infectious injuries (e.g., Neuropathy, Alzheimer's, Parkinson's, etc) . The onset of these pathologies is more common in the peripheral nervous system (PNS) because it is not protected by the blood–brain barrier . Moreover, aging is associated with elevated levels of chronic inflammation and oxidative stress that could aid in causing an injury to the axon to initiate degeneration. Because Schwann cells – the myelinated glia of the PNS – are rich in fatty acids, they serve as a major substrate for reactive oxygen species and are thought to be particularly vulnerable to the accumulation of oxidative damage seen with aging . Recently, Opalach and colleagues demonstrated that aged animals had a pronounced accumulation of ubiquitinated and oxidatively damaged proteins within myelinated peripheral nerves . This damage subsequently resulted in an immunologic response, which theoretically would result in further damage or impairment of the regeneration process.
Alternatively, genetic factors, which can also influence age-related neurological conditions, might also regulate axonal regeneration. For example, the gene that codes for apolipoprotein E isoform 4 (ApoE4) was studied in relationship to peripheral nerve regeneration [48▪▪]. The ApoE4 allele is present in one-third of the population and when coupled with aging is most commonly associated with risk of neurodegeneration in the central nervous system. However, ApoE4 is expressed throughout the PNS and could have functional significance [48▪▪]. ApoE4 expression significantly disrupts nerve regeneration and subsequent neuromuscular junction reinnervation following nerve crush [48▪▪]. Collectively, age-related peripheral nerve degeneration and impaired regeneration seem to follow similar patterns found in neurodegenerative diseases . The altered cellular milieu due to aging places axons in a vulnerable environment for degeneration and genetic predisposition to impaired regenerative capacity has the potential to impair motor coordination and muscle strength.
Aging is associated with NMJ remodeling that is characterized by retraction of nerve terminal endings resulting in unoccupied postsynaptic receptors [49▪]. As a result, aged NMJ's expand with a larger motor endplate. It is logical to surmise that NMJ remodeling is a consequence of muscle atrophy. However, these modifications can precede muscle fiber atrophy and thus could be involved with initiating muscle loss [49▪]. Interestingly, axons separated from their NMJ showed no evidence of atrophy, suggesting that a local (e.g. spinal cord), as opposed to an upstream, mechanism might be responsible . Li et al.[51▪▪] have recently challenged the notion that NMJ remodeling occurs prior to muscle fiber atrophy. They found that NMJs mostly remain stable throughout the lifespan, but become fragmented during regeneration that occurs following an injury to the muscle fiber. The specific mechanisms are not completely understood, but these new data suggest that postsynaptic necrosis and impaired regeneration of muscle fibers might initiate NMJ remodeling seen with aging.
Transmission at the NMJ is also altered with aging . Aged nerve terminal endings release larger amounts of neurotransmitter upon stimulation, which result in a higher endplate potential at the muscle fiber [53▪]. Although this seems like an effective compensatory strategy to improve NMJ transmission, doing so leads to a faster rate of NMJ failure often seen in aged animals. Additionally, adenosine receptors, which act to control evoked endplate potential at the NMJ are modified with aging [51▪▪]. Specifically, aging changes the ratio of inhibitory A1 receptors and excitatory adenosine A2A receptors that are key components of regulating the endplate response to stimulation . The magnitude of excitatory effects of the A1/A2A receptors recedes whereas the inhibitory regulation stays constant with increasing age [51▪▪]. Therefore, for an unknown reason, the NMJ preferentially selects to activate inhibitory over excitatory receptors. The selection of inhibitory over excitatory receptors at the NMJ with aging should theoretically decrease the ability to produce muscle force.
Although age-related strength loss originates from multiple sources, the literature reviewed here suggests that a significant component is the breakdown in communication between brain and muscle. With aging, the changes in the central and peripheral nervous system may reduce an individual's ability to activate available musculature. Although there is a strong theoretical rationale for connecting brain and muscle, there is a general lack of evidence that shows brain aging is associated with muscle strength impairment in older adults. Based on the literature reviewed here, clinical approaches to maintaining strength levels in seniors has to be extended beyond targeting skeletal muscle size and intramuscular factors and be combined with novel approaches that sustain nervous system function.
This work was partially supported by the following organizations: National Institute on Aging (R21AG031974 to T.M.M.) and Eunice Kennedy Shriver National Institute of Child Health and Human Development (R15HD065552 to B.C.C.). T.M.M. was also supported by the University of Florida Claude D. Pepper Center awarded by the National Institute on Aging (P30AG028740).
Conflicts of interest
B.C.C. has received consulting fees from Regeneron Pharmaceuticals, Inc. and Abbott Laboratories. No other conflicts were reported.
REFERENCES AND RECOMMENDED READING
Papers of particular interest, published within the annual period of review, have been highlighted as:
▪ of special interest
▪▪ of outstanding interest
Additional references related to this topic can also be found in the Current World Literature section in this issue (pp. 110–111).
1▪▪. Manini TM, Clark BC. Dynapenia and aging: an update. J Gerontol 2011.
This is a literature update to the original sarcopenia and dynapenia article published in 2008. The article reviews existing data in the literature to compares muscle strength and mass for predicting age-related health conditions in older adults.
2. Enoka RM. Muscle strength and its development. Sports Med 1988; 6:146–168.
3. Ranganathan VK, Siemionow V, Liu JZ, et al. From mental power to muscle power–gaining strength by using the mind. Neuropsychologia 2004; 42:944–956.
4. Clark B, Issac LC, Lane JL, et al. Neuromuscular plasticity during and following 3-weeks of human forearm cast immobilization. J Appl Physiol 2008; 105:868–878.
5. Delmonico MJ, Harris TB, Visser M, et al. Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr 2009; 90:1579–1585.
6. Manini TM, Visser M, Won-Park S, et al. Knee extension strength cutpoints for maintaining mobility. J Am Geriatr Soc 2007; 55:451–457.
7. de Rekeneire N, Visser M, Peila R, et al. Is a fall just a fall: correlates of falling in healthy older persons. the health, aging and body composition study. J Am Geriatr Soc 2003; 51:841–846.
8. Newman AB, Kupelian V, Visser M, et al. Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci 2006; 61:72–77.
9. Azevedo FA, Carvalho LR, Grinberg LT, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol 2009; 513:532–541.
10. Pelvig DP, Pakkenberg H, Stark AK, et al. Neocortical glial cell numbers in human brains. Neurobiol Aging 2008; 29:1754–1762.
11. Kandel ER, Schwartz JH, Jessell TM, et al.
Principles of neural science. Fifth ed. New York: McGraw-Hill Companies, Inc.; 2012.
12. Ward NS. Compensatory mechanisms in the aging motor system. Ageing Res Rev 2006; 5:239–254.
13. Salat DH, Buckner RL, Snyder AZ, et al. Thinning of the cerebral cortex in aging. Cereb Cortex 2004; 14:721–730.
14. Marner L, Nyengaard JR, Tang Y, et al. Marked loss of myelinated nerve fibers in the human brain with age. J Comp Neurol 2003; 462:144–152.
15▪. Pannese E. Morphological changes in nerve cells during normal aging. Brain Struct Funct 2011; 216:85–89.
This is a review article that discusses changes in nerve cell structure associated with advancing age.
16. Faisal AA, Selen LP, Wolpert DM. Noise in the nervous system. Nat Rev Neurosci 2008; 9:292–303.
17. Nesselroade JR, Salthouse TA. Methodological and theoretical implications of intraindividual variability in perceptual-motor performance. J Gerontol 2004; 59:49–55.
18. Darbin O. The aging striatal dopamine function. Parkinsonism Relat Disord 2012; 18:426–432.
19▪▪. MacDonald SW, Karlsson S, Rieckmann A, et al. Aging-related increases in behavioral variability: relations to losses of dopamine D1 receptors. J Neurosci 2012; 32:8186–8191.
This article uses neuroimaging to link increased variability in cognitive responses to loss of dopamine receptors in key brain regions, specifically anterior cingulate gyrus, dorsolateral prefrontal cortex, and parietal cortex.
20. Hills TT. Animal foraging and the evolution of goal-directed cognition. Cognit Sci 2006; 30:3–41.
21. Arnth-Jensen N, Jabaudon D, Scanziani M. Cooperation between independent hippocampal synapses is controlled by glutamate uptake. Nat Neurosci 2002; 5:325–331.
22. Mora F, Segovia G, Del Arco A. Glutamate-dopamine-GABA interactions in the aging basal ganglia. Brain Res Rev 2008; 58:340–353.
23. Fujiyama H, Hinder MR, Schmidt MW, et al. Age-related differences in corticomotor excitability and inhibitory processes during a visuomotor RT task. J Cognit Neurosci 2012; 24:1253–1263.
24▪▪. Smith AE, Ridding MC, Higgins RD, et al. Cutaneous afferent input does not modulate motor intracortical inhibition in ageing men. Eur J Neurosci 2011; 34:1461–1469.
This article provides evidence to suggest that a contributing factor in the decline of motor function with ageing is loss of short-intracortical inhibiiton modulation that is likely attributed to altered cortical sensorimotor integration of afferent input.
25. Degardin A, Devos D, Cassim F, et al. Deficit of sensorimotor integration in normal aging. Neurosci Lett 2011; 498:208–212.
26. Rogasch NC, Dartnall TJ, Cirillo J, et al. Corticomotor plasticity and learning of a ballistic thumb training task are diminished in older adults. J Appl Physiol 2009; 107:1874–1883.
27. Kobayashi M, Pascual-Leone A. Transcranial magnetic stimulation in neurology. Lancet Neurol 2003; 2:145–156.
28. Reis J, Swayne OB, Vandermeeren Y, et al. Contribution of transcranial magnetic stimulation to the understanding of cortical mechanisms involved in motor control. J Physiol 2008; 586:325–351.
29. Burke SN, Barnes CA. Neural plasticity in the ageing brain. Nat Rev Neurosci 2006; 7:30–40.
30. Clayton DA, Grosshans DR, Browning MD. Aging and surface expression of hippocampal NMDA receptors. J Biol Chem 2002; 277:14367–14369.
31. Pang PT, Teng HK, Zaitsev E, et al. Cleavage of proBDNF by tPA/plasmin is essential for long-term hippocampal plasticity. Science 2004; 306:487–491.
32. Clark BC, Taylor JL. Age-related changes in motor cortical properties and voluntary activation of skeletal muscle. Invited review article for a ‘Hot Topics’ issue on ‘Age-related changes in neuromuscular function and physiology’. Curr Aging Sci 2011; 4:192–199.
33. Marneweck M, Loftus A, Hammond G. Short-interval intracortical inhibition and manual dexterity in healthy aging. Neurosci Res 2011; 70:408–414.
34. Deschenes MR. Motor unit and neuromuscular junction remodeling with aging. Curr Aging Sci 2011; 4:209–220.
35. Gordon T, Hegedus J, Tam SL. Adaptive and maladaptive motor axonal sprouting in aging and motoneuron disease. Neurol Res 2004; 26:174–185.
36. Lauretani F, Russo CR, Bandinelli S, et al. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol 2003; 95:1851–1860.
37. Shinohara M. Adaptations in motor unit behavior in elderly adults. Curr Aging Sci 2011; 4:200–208.
38. Di Iorio A, Cherubini A, Volpato S, et al. Markers of inflammation, vitamin E and peripheral nervous system function: the InCHIANTI study. Neurobiol Aging 2006; 27:1280–1288.
39. Coleman M. Molecular signaling how do axons die? Adv Genet 2011; 73:185–217.
40. Cheng A, Hou Y, Mattson MP. Mitochondria and neuroplasticity. ASN neuro 2010; 2:243–256.
41. Bahr BA, Bendiske J. The neuropathogenic contributions of lysosomal dysfunction. J Neurochem 2002; 83:481–489.
42. Misgeld T. Lost in elimination: mechanisms of axonal loss. e-Neuroforum 2011; 2:21–34.
43. Melcangi RC, Magnaghi V, Cavarretta I, et al. Age-induced decrease of glycoprotein Po and myelin basic protein gene expression in the rat sciatic nerve. Repair by steroid derivatives. Neuroscience 1998; 85:569–578.
44. Kovacic U, Sketelj J, Bajrovic FF. Chapter 26: age-related differences in the reinnervation after peripheral nerve injury. Int Rev Neurobiol 2009; 87:465–482.
45. Mattson MP, Magnus T. Ageing and neuronal vulnerability. Nat Rev Neurosci 2006; 7:278–294.
46. Selman C, Blount JD, Nussey DH, et al.
Oxidative damage, ageing, and life-history evolution: where now? Trends Ecol Evolut 2012; 27:570–577.
47. Opalach K, Rangaraju S, Madorsky I, et al. Lifelong calorie restriction alleviates age-related oxidative damage in peripheral nerves. Rejuvenation Res 2010; 13:65–74.
48▪▪. Comley LH, Fuller HR, Wishart TM, et al. ApoE isoform-specific regulation of regeneration in the peripheral nervous system. Hum Mol Genet 2011; 20:2406–2421.
The article illustrates that the importance of ApoE4 as a candidate gene that regulates regeneration of peripheral nerves.
49▪. Deschenes MR. Motor Unit and Neuromuscular Junction Remodeling with Aging. Curr Aging Sci, 2011.
This is a recent review article that gives excellent details regarding the age-related remodeling of the neuromuscular junction.
50. Prakash YS, Sieck GC. Age-related remodeling of neuromuscular junctions on type-identified diaphragm fibers. Muscle Nerve 1998; 21:887–895.
51▪▪. Li Y, Lee Y, Thompson WJ. Changes in aging mouse neuromuscular junctions are explained by degeneration and regeneration of muscle fiber segments at the synapse. J Neurosci 2011; 31:14910–14919.
This is a key article that suggests remodeling of the neuromuscular junction is dependent on necrotic events that occur in the muscle fiber.
52. Jang YC, Van Remmen H. Age-associated alterations of the neuromuscular junction. Exp Gerontol 2011; 46:193–198.
53▪. Deschenes MR, Roby MA, Glass EK. Aging influences adaptations of the neuromuscular junction to endurance training. Neuroscience 2011.
This article demonstrates that the neuromuscular junction is less sensitive to remodeling due to exercise training in old compared with young animals. It also reveals that exercise adaptations and effects of aging are fiber-type dependent.
brain; dynapenia; muscle; neuromuscular; physical function; sarcopenia
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