Muscle Quality in Aging

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Sports Med DOI 10.1007/s40279-015-0305-z

REVIEW ARTICLE

Muscle Quality in Aging: a Multi-Dimensional Approach to Muscle Functioning with Applications for Treatment Maren S. Fragala • Anne M. Kenny George A. Kuchel



Ó Springer International Publishing Switzerland 2015

Abstract Aging is often accompanied by declines in physical functioning which impedes older adults’ quality of life, sense of independence, and ability to perform daily tasks. Age-related decreases in skeletal muscle quantity, termed sarcopenia, have traditionally been blamed for these physical decrements. However, recent evidence suggests that the quality of muscle tissue may be more functionally relevant than its quantity. ‘Muscle quality’ has been emerging as a means to elucidate and describe the intricate intramuscular changes associated with muscle performance in the context of aging and sarcopenia. While muscle quality has most commonly been defined in terms of muscle composition or relative strength, at the core, muscle quality really describes muscle’s ability to function. Skeletal muscle displays a strong structure–function relationship by which several architectural characteristics factor into its functional capacity. This review describes the structural, physiological, and functional determinants of muscle quality at the tissue and cellular level, while also introducing other novel parameters such as sarcomere spacing and integrity, circulating biomarkers, and the muscle quality index. Muscle qualitative features are described from the perspective of how physical exercise may improve muscle quality in older adults. This broad, multidimensional perspective of muscle quality in the context of aging and sarcopenia offers comprehensive insights for M. S. Fragala (&) Institute of Exercise Physiology and Wellness, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816, USA e-mail: [email protected] M. S. Fragala  A. M. Kenny  G. A. Kuchel University of Connecticut Center on Aging, University of Connecticut Health Center, Farmington, CT, USA

consideration and integration in developing improved prognostic tools for research and clinical care, while also promoting translational approaches to the design of novel targeted intervention strategies designed to maintain function and mobility into late life.

Key Points Despite the detrimental contributions of aging on skeletal muscle, no consensus definition of muscle quality presently exists. A multi-dimensional understanding of muscle qualitative factors contributing to functional impairments may lead to improved efforts in identifying risk factors and developing effective treatments. Physically exercising under-utilized muscles appears to be the leading strategy for improving muscle quality and function.

1 Introduction to Skeletal Muscle Quality As many as half of the older adult population in the USA are affected by sarcopenia, a progressive, debilitating musculoskeletal condition [1]. Initially, the term ‘sarcopenia’ was introduced to describe the age-related reduction in skeletal muscle mass—somewhat similar to how osteoporosis affects bone. However, unlike osteoporosis, which remains asymptomatic until an unfortunate catastrophic event, sarcopenia manifests itself in regressive mobility and

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functional impairments [2]. While declines in physical function and loss of physiological resilience have traditionally been attributed to the age-related decreases in muscle mass, recent evidence indicates that the quality of the muscle tissue may have relatively greater functional relevance. Muscle quality refers to the tissue’s capacity to perform its various functions, including contraction, metabolism, and electrical conduction. Many dimensions of muscle quality have relevance to muscle’s capacity to perform its various functions, spanning from the broad aspect of whole muscle force production to muscle composition and morphology to the level of the sarcomere (the basic contractile element). In clinical research, muscle quality has often been measured in terms of strength normalized to muscle mass as determined by dual-energy x-ray absorptiometry (DXA) or computed tomography (CT). Recently, there has also been a growing interest in defining the structural, physiological, and biological determinants of muscle quality at the level of muscle tissues, individual muscle cells, cellular components, or metabolic pathways (Fig. 1). While several prior reviews have eloquently and thoroughly described aspects of muscle quality assessment [3, 4], functional deficit [5], endocrinology [6], pharmacology [7], treatment [8], or exercise training [9], none have yet integrated the clinical, mechanistic, and treatment approaches into a multi-dimensional approach as intended in this review. This article reviews the complex indices and dimensions of skeletal muscle and highlights the concept that its function stems from the interaction of several qualitative characteristics. We also briefly highlight the available data on functional and clinical implications to support targeted interventions for improving muscle quality. Recent studies by our laboratory and others may have important clinical relevance as they demonstrate that even without increases in muscle mass, exercise interventions may be beneficial to improving other features of muscle quality. Thus, multidimensional perspectives of muscle quality may offer insights towards improved prognostic tools for research and clinical care, while also promoting

translational approaches to the design of novel targeted intervention strategies. 1.1 Skeletal Muscle in Aging and Physiological Resilience Advancing biological age is frequently accompanied by diminished physiological reserve and decreased physical functioning which adversely impact perceived quality of life and well-being with aging. Amongst the most detrimental consequences associated with such deterioration is the presentation of the frailty phenotype. An overarching common dimension to several conceptualizations of frailty involves decreased physiological resilience and increased vulnerability to adverse events leading to an enhanced risk of future disability and mortality [10, 11]. The Fried frailty phenotype is characterized by weight loss, fatigue, weakness, and vulnerability to other adverse events associated with morbidity and mortality [12, 13]. While the physiological basis for frailty is generally viewed to be multifactorial, sarcopenia characterized by musculoskeletal deterioration appears to represent a central element [14]. Not only is skeletal muscle primarily important for physical functioning, but homeostatic imbalances resulting in altered energy metabolism and protein degradation may be a critical mediating factor for the onset of frailty. While the impact of physiological and functional decrements are progressively burdensome in hindering older adults’ ability to perform activities of daily living required for independence [15], both disability and frailty can increase susceptibility to severe catastrophic events [16–18]. Thus, understanding features of skeletal muscle quality changes with aging, sarcopenia, and frailty may be key to preserving independence and reducing catastrophic events. However, in examining muscle qualitative changes that frequently accompany aging and ultimately frailty, it is important to consider the large physiological variation in elders of a similar age [19]. Large variations imply that many of the qualitative changes that we observe with aging

Fig. 1 Skeletal muscle qualitative features can span from the level of whole muscle functioning to features of the basic contractile elements

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may actually be more of a product of disuse than aging per se [20]. Thus, throughout this review, aging is considered the process of cellular and systemic senescence in normal conditions that ultimately lead to frailty. Although broad, normal conditions are considered in the absence of disease or high-level athletic training that can interfere with the process of what is considered normal aging. 1.2 Skeletal Muscular Quantity Versus Quality The most widely acknowledged changes in skeletal muscle with aging entail reductions in muscle mass. Muscle mass decreases approximately 3–8 % per decade after the age of 30 years, with rates accelerating after the age of 60 years in an epidemiologic population [21]. This age-related loss in skeletal muscle mass, termed sarcopenia, is often attributed to the disability and morbidity observed in the older adult population [22] and is a primary determinant of the agerelated declines in skeletal muscle strength [23, 24]. Another term ‘dynapenia’ was more recently introduced to describe and distinguish the age-associated loss of strength from loss of mass (sarcopenia) [25]. While some discrepancy remains as to whether or not to distinguish dynapenia from sarcopenia or whether muscle weakness should be incorporated into clinical definitions of sarcopenia, our recent work has revealed that muscle weakness is an important factor in distinguishing older adults with mobility impairment [26]. Regardless of the terminology, muscle weakness is collectively attributed to alterations in muscle quantity, muscle contractile quality, and neural activation [27]. Although muscle mass is an important underlying factor contributing to muscle strength [28], mounting evidence has emerged showing that muscle strength and power are strongly related to mobility, functional status, and mortality in frail elderly [29–32] even when adjusting for muscle mass [27]. Interestingly, several studies have demonstrated a mismatch in the rates of change involving these parameters, where the rate of decline in muscle strength is much more rapid than the concomitant loss of muscle mass [23, 33–37]. In addition, studies have shown that leg muscle power (a measure of the rate that force is developed) seems to be more important than muscle strength in determining the ability to perform daily activities [29] or the risk of hip fracture [38]. Such findings imply that agerelated skeletal muscle changes involve more than just skeletal muscle mass loss and suggest that additional features of quality and neuromuscular innervation are factors in muscle strength and functioning. 1.3 Skeletal Muscular Changes Associated with Aging As muscle mass and functioning decline with age, several changes occur locally within individual muscles, which

affect the quality of the muscle. With aging, muscle fibers decrease in both size and number, particularly in type II (high force) fibers [36, 39, 40]. In fact, autopsy studies reveal 25 % fewer muscle fibers in the medial vastus lateralis of older (72 years) than in younger (30 years) individuals [41]. Moreover, biopsy studies also show a changing fiber type distribution with age where the percentage and area of type II fibers in the vastus lateralis is reduced [42]. As fiber type distribution changes, so does the oxidative enzyme activity and muscle capillarization, which decrease [9]. Interestingly, aging has differential effects on various human skeletal muscle groups [43], depending on their function and fiber composition [43]. For example, type II fibers of the vastus lateralis, an important muscle in the leg for locomotion, become very small and less circular with age, whereas in the masseter, an important muscle for chewing, fibers maintain circularity and only decreases in size [43]. Additionally, age-related muscular changes at the cellular level appear to be impacted by sex, where declines in the type II fiber area appear restricted to men [44]. Several studies have demonstrated the presence of impaired protein synthesis and decreased muscle anabolism with aging [45–48]. Declines in protein synthesis impair muscle contractile function, strength, and protein quality [25, 46, 49]. Several factors may contribute to the disproportional protein turnover observed in aged muscle. The age-associated increased levels of pro-inflammatory cytokines [50–52] may be part of the mechanisms that cause the interference with protein synthetic pathways [53] and contribute to the declines in muscle strength [50, 54], mass [55], and disability [51, 52]. Furthermore, more recent evidence also points to an age-related increase in myofibrillar protein glycation that may interfere with contractile protein structure and function [56]. In addition, muscle fibers of older adults contain more lysosomes [57], indicating greater potential for protein degradation than younger muscle. Regardless of the mechanism, it remains unclear as to whether age-related changes in muscle protein synthetic rates and contractile characteristics are preventable and whether protein synthesis measurements actually translate into contractile protein hypertrophy in muscle. (For further detail regarding protein metabolism with aging, please refer to prior reviews by Burd et al. [58] and Yarasheski [59]). With age, the contractile characteristics of muscle fibers change. Muscle fibers transition to take on slow, type I, characteristics (fatigue resistant, slow contraction velocity) [60]. The selective loss of type II fibers, which possess greater contraction velocity [61], driving this observed transition impacts the muscle’s ability to generate maximal force [62]. The mechanisms underlying the slowed contractile speed in the muscle fibers appear to differ between

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slow and fast fibers. In fast-twitch muscle fibers, the decreased speed of contraction is likely due to an age-related impairment of intrinsic sarcoplasmic reticulum function and alteration in sarcoplasmic reticulum volume [57, 63]. However, in slow fibers, the age-related decrease in contractile speed appears to be due to a change in the properties of the myosin protein [64]. Additionally, since it is known that muscle fibers take on the characteristics of the nerves innervating them [65], it is likely that fiber type changes associated with aging are attributable to changes in neural input to the muscle fibers contained within each motor unit. With aging, motor units are lost [66–68]. As a result, the size of each motor unit increases with age [68]. As neural innervation changes with aging, muscle fiber types that are generally dispersed in the muscle in younger adults tend to group together in older inactive adults [57, 69], reflecting reduced reinnervation. Also, older muscle fibers tend to be angulated in shape, reflecting denervation of muscle fibers [69]. Motor nerves also demonstrate agerelated changes where nerve fibers decrease in diameter [70] and nerve conduction slows [71]. In addition, the neuromuscular junction (NMJ) where the motor neuron and the muscle fibers meet changes with aging where presynaptic nerve terminal branching and post-synaptic distribution of neurotransmitter receptor sites are increased and the NMJ has limited capacity to adapt [72]. This may affect the ability of aged muscle cells to modulate calcium release with muscle contraction. Thus, age-related changes in neuromuscular activation appear to largely contribute to declines in strength and power [73, 74].

2 Describing Muscle Quality Muscle quality describes the physiological functional capacity of muscle tissue. In quantifying muscle quality, muscle’s contractile function is often assessed as the muscle’s ability to generate force measured as strength, power, or function. Measuring the whole muscle’s ability to function or generate force represents an index of muscle quality. Such indices of muscle quality include measures of relative strength and muscle quality index (MQI), as described in Sect. 2.1. However, muscle quality indices are ultimately dependent on the qualitative features of the muscle tissue, including the composition, architecture/morphology, and ultrastructure of the contractile apparatus, each of which are described in Sect. 2.2. Additionally, the assessment of muscle qualitative features is dependent on instruments and technologies. There are several emerging technologies including applications of ultrasound to measure muscle architecture, second harmonic generation (SHG) to qualify ultrastructure, and circulating biomarkers to reflect muscle status, which are also described.

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2.1 Indices of Muscle Quality 2.1.1 Relative Strength Typically, muscle quality is defined indirectly as muscle strength relative to the muscle quantity or the amount of muscle mass generating the force [75, 76]. When defined in this way, like muscle strength and mass, muscle quality declines with aging [77, 78]. In addition, muscle quality (relative strength) has been shown to be a stronger predictor of performance than strength, mass, or body composition alone in older adults [79–81]. Interestingly, muscle quality (as relative strength) has been shown to be inversely related to skeletal muscle mass [79, 82]. However, several complexities exist in interpreting and comparing muscle quality when defined as relative strength such as movement type (isotonic vs. isometric vs. isokinetic) [35, 83] and anatomical location (upper vs. lower body) [75]. 2.1.2 Muscle Quality Index Recently, Barbat-Artigas et al. [4] suggested the MQI as an assessment of muscle quality based on a functional test for older adults. The MQI estimates muscle power from body anthropometrics and timed chair rises [84]. It elaborates on the typical chair rise test by accounting for the anthropometric measures of body mass and leg length that have previously been shown to alter the relationship between chair rise performance and leg strength [84]. As a clinically feasible potential assessment of muscle quality, we compared the sensitivity to change of the MQI to other functional tests, and found that that the MQI increases with resistance exercise training in older adults to a greater magnitude and presents higher reliability than other functional measures (gait speed, grip strength, get up and go) [85]. Thus, the MQI should be considered as a potentially informative clinical outcome in interventional studies in older adults. While indices of relative strength are more informative than measures of muscle mass alone, such definitions of muscle quality do not account for other muscular qualitative features such as architecture or composition or functions such as mobility. 2.2 Dimensions of Muscle Quality 2.2.1 Muscle Composition Age-related changes in body composition [28, 86] can affect muscle performance both functionally and physiologically. Functionally, the low lean mass to total body mass ratio can impede functional performance [87] and muscle strength [88], and lead to frailty [89] and nursing

Muscle Quality in Aging

home admission [90]. Physiologically, excessive body fat is related to lipid infiltration [91, 92] in the muscle which can impede muscle functioning (voluntary force production). Measures of total and regional muscle mass used to assess body composition and quantify muscle quality are often accurately measured with DXA. Although informative for identifying muscle mass thresholds associated with muscle weakness, such technology lacks the sensitivity to distinguish muscle composition. DXA measurements of skeletal muscle mass assume that all non-fat and non-bone fat-free mass is skeletal muscle mass [93], and cannot detect fat that infiltrates the muscle. Thus, DXA fails to identify intramuscular adipose deposits, the visible fat beneath the muscle fascia and between the muscle groups [94], as well as intramyocellular lipid droplets located between muscle fibers. The measurement of muscle composition in vivo requires more sophisticated and less available technologies [95] such as magnetic resonance imaging (MRI) or CT [96]. Most studies assessing muscle composition have used CT, which quantifies muscle density based on attenuation characteristics attained with compiled x-rays to discern fat and muscle tissue within the muscle [97]. Such measures indicate a positive association between muscle density and strength, regardless of size [92], indicating that lipid accumulation in the muscle (lower muscle density) hinders muscle quality. With aging the density of skeletal muscle decreases [92, 98, 99], indicating lipid accumulation in the muscle [100–102]. Older men have 59–127 % more fat in the muscle compartments of the thigh than younger men [98], with an annual increase of 18 % shown in longitudinal measures [103]. Excessive lipid infiltration in skeletal muscles is associated with low muscle strength and poor physical performance [28, 55, 104], independent of crosssectional area (CSA) of the muscle. Age-related fat infiltration in the muscle hinders the contractile ability of the muscle [105] and functionality in older adults [106, 107]. Intramuscular lipid stores include both intramyocellular lipids, spherical droplets located between the muscle cells, and extramyocellular lipids, strands of adipocytes surrounding muscle fibers [108, 109]. Both stores of lipid have different metabolic roles, where intramyocellular lipid droplets are more readily available in the muscle to provide an energy substrate during exercise while extramyocellular lipids have a slower turnover and serve as a longer-term storage site [110]. Older adults have increased intramyocellular lipids [111], characterized by larger droplet size [112] and a reduced oxidative capacity in comparison to younger adults [113]. This may result from the continuous supply of fat to the muscle without concomitant oxidation, resulting in the accumulation of intramuscular lipids [111].

2.2.2 Muscle Architecture Muscle contractile function is related to its architectural characteristics [114–116]. Amongst the architectural characteristics relevant to the force-producing capacity of muscles are both the muscle fiber length and arrangement in relation to the direction of force produced by the whole muscle [117]. A muscle is advantaged in force production when fibers are oriented at a large pennation angle from the direction of force production where more fibers can be packed into a greater volume [115, 118]. Accordingly, amongst the age-associated architectural changes in skeletal muscle, muscle in older adults has reduced muscle fiber length [119, 120] and altered pennation angles [121], likely due to fiber atrophy. Such architectural changes contribute to reduced force production capacity. We recently reported on muscle architectural changes to resistance exercise in a cohort of healthy adults using physiological CSA (PCSA) of the thigh [122]. In contrast to traditional cross-sectional area measures, muscle PCSA measures of the vastus lateralis included a composite of architectural measures including CSA, echo intensity, pennation angle, and fascicle length. Muscle architecture measured as PCSA was significantly correlated with leg extension strength and change in leg extension strength [122]. 2.2.3 Muscle ‘Ultrastructure’ Despite general consensus regarding age-related decreases in whole muscle strength and function with age, some discrepancy exists in the literature when examining single human skeletal muscle fibers. Some findings indicate ageassociated increases in muscle fiber stiffness [123], reduced contractility [123], and reduced specific tension [44]. Others have reported preserved single muscle fiber contractile function despite significant decreases in whole muscle level strength [124]. Such discrepancies have been attributed to physical activity, where active older adults have preserved single fiber contractile properties [125], or compensation by surviving fibers to partially correct muscle size deficits in an attempt to maintain optimal forcegenerating capacity [124]. Regardless, more in-depth evaluation of muscle contractile apparatus at the ultrastructural level may yield greater insights into qualitative changes in skeletal muscle with age. 2.2.4 Sarcomere: The Basic Contractile Element While most focus on aging muscle has been at the macrostructural level, it is important to consider that age-related muscle quality changes involve qualitative changes in muscle ultrastructure [40, 126]. Muscle cells are comprised

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of myofibrils or cylindrical structures, containing repeated complexes of organized specialized proteins (sarcomeres) [127] (Fig. 1). Sarcomeres contain overlapping thin (actin) and thick (myosin) filaments [128], which represent the basic contractile elements for muscle contraction [129]. The actin filaments are anchored to multi-protein complexes known as the Z-disks [130], which border each sarcomere, maintain structure, and transmit tension during contraction [131]. Thus, the length of the sarcomere is most prominently defined by the Z-disk boundaries [132]. The length of the sarcomere quantifies the overlap between thin and thick filaments, and hence the potential for force generated from the actin and myosin interactions [133]. Muscle contraction ultimately occurs when the Z-disks are pulled together as myosin cross-bridges link to actin filaments, shortening the sarcomeres in series [128]. The force generated by the contracting sarcomeres within the muscle is transmitted throughout the muscle by the extracellular matrix. Some evidence exists to indicate that sarcomeric changes may occur with aging in a manner that may inhibit muscle functioning. Animal comparison models show evidence that differences in myofilament lengths are related to functional demands of muscle [134]. Electron microscopic analysis of human skeletal muscle biopsies reveal myofibrillar disorder, Z-line streaming, and dilatation in aged skeletal muscle [57]. In addition, aged skeletal muscle shows a variety of changes within the extracellular matrix, including collagen accumulation and altered elasticity [135]. Since the order and arrangement of the myofilaments play a crucial role in force generation [136], age-related alterations in sarcomere spacing and integrity and extracellular matrix functioning may contribute muscle force-generating capacity. The reduced muscle fiber length in aged skeletal muscle may be due to a loss of sarcomeres in series since sarcomeres are lost as a result of decreased muscle tension from disuse [137]. Some data from human biopsy samples indicate that sarcomere length is reduced in older compared with younger adults [138]. From a functional point of view, a loss of sarcomeres in parallel and in series alters both the length–tension as well as the force–velocity relationships [116]. Although research has implicated optimal sarcomere lengths in muscular force generation [133, 139], how such characteristics relate to muscle quality, physical performance, and aging is emerging as a research priority as technologies improve to allow such evaluations.

3 Future Directions and Technologies in Muscle Qualitative Assessments While existing assessments and approaches to muscle quality assessment have been broad and informative, many

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have been limited by costs, accessibility, feasibility, and the information that they can provide. New directions, technologies, and applications of existing technologies may enable the evaluation of hypotheses so far unanswered and increase the clinical applications and accessibility to muscle qualitative information. Among such future directions are the applications of safe and simple ultrasound imaging to assess muscle architecture, use of imaging tools to enable the in vivo assessment of sarcomere structure and alignment, and evaluation of novel biomarkers of muscle status that may provide new information that can be assessed through the blood. 3.1 Skeletal Muscle Ultrasound The ability to quantify muscle size and composition requires elaborate medical imaging equipment that is not readily available for routine analysis. However, recent advances have supported the use of ultrasound technologies to non-invasively measure and quantify skeletal muscle. Ultrasound provides a safe and more widely available technique to accurately quantify and qualify regional muscle mass. Data from cadaver [140] and MRI studies [141] reveal that ultrasound is a valid and reliable tool to assess muscle CSA, thickness, and volume. Interestingly, we recently found that local muscle hypertrophy may be detected on ultrasound before changes in DXA are apparent [122]. In addition to measuring local muscle size, muscle quality may be assessed on ultrasound using post hoc analysis of density by quantifying echo intensity. Echo intensity is a measure of the reflectivity of the sound waves emitted to the tissue. Connective tissue and lipid are more reflective than more dense muscle tissue and are depicted in the image as lighter gray [142]. Ultrasound has been shown to be a reliable tool for assessing muscle quality as echo intensity [143, 144] (a proxy of muscle composition), which may be considered an index of muscle quality. Analyzing the reflectivity via gray-scale analysis provides a useful low-cost, easily accessible, and safe method to evaluate the muscle quality [145]. Although some evidence suggests a relationship between muscle echo intensity and strength [146], our preliminary study did not find significant changes in muscle echo intensity with acute resistance exercise when significant strength changes occurred [122]. As skeletal muscle ultrasound applications to assessing muscle qualitative features is a newer approach, further studies are warranted to determine whether it may be a useful application for clinical incorporation. In addition to providing qualitative and quantitative information on skeletal muscle integrity, size, and density, ultrasound technology also enables the assessment of muscle architecture.

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3.2 Second Harmonic Generation Technology Insights contributing to mechanical concepts underlying physical performance can be attained at the sarcomeric level [128] and some evidence reveals disordered sarcomeres in aged muscle [57]. Currently, studying the contractile structures of human skeletal muscle is difficult and invasive, but can be done through muscle biopsy procedures, where a grain size sample of muscle is removed from a superficial muscle by a hollow needle. This muscle sample can be processed and analyzed for muscle cell histology, including fiber type, arrangement, and organization using microscopy techniques. In spite of the ability of electron microscopy (EM) to provide important qualitative information regarding muscle ultrastructure, this classical approach can be confounded by significant contraction artifacts associated with tissue fixation [147]. Moreover, the very nature of EM analysis, whereby individual ultrathin 2-dimensional sections are studied, precludes any meaningful quantitative analysis addressing changes taking place within a complex 3-dimensional tissue [148]. Novel imaging technology involving SHG imaging is emerging as a means of visualizing muscle ultrastructure in 3-dimensions, followed by objective quantification of sarcomere numbers, dimensions, integrity, and spacing within intact muscle [149–153]. SHG is a non-linear signal generated from the recombination of two photons on noncentro-symmetric molecular arrays into one photon of half the energy [149]. The signal is determined by the orientation, polarization, and local symmetry of chiral molecules. Both the collagen in the basal lamina surrounding muscle fibers and the coiled rod region of myosin thick filaments in the myofibrils are strong emitters of the SHG signal [150–153]. These characteristics allow the integrity of the sarcomeric structure to be evaluated with such techniques. Further description of the physical basis of SHG as tool for in vivo imaging of thick structural proteins can be found in the work of Mohler et al. [154]. The applications of SHG techniques for qualifying the skeletal characteristics of muscle have been shown by the work by Plotnikov et al. [138] who describe sarcomeric disruptions with second harmonic imaging techniques in dystrophic and aged muscle. Such work uses Helmholtz equations to determine sarcomere pattern quantification, indicating preliminary sarcomere pattern differences between older and young adults [138]. More recently, Liu et al. [155] developed a tool to quantify skeletal muscle irregularities based on SHG-generated images and Buttgereit et al. [156] used SHG to demonstrate fiber regeneration. Unlike other means of imaging, SHG allows high-resolution quantitative 3-dimensional imaging of unstained bundles of muscle fibers at the molecular level with

minimal tissue sampling processing [157]. Such features provide potential for the adaptation of SHG optics for in vivo imaging during medical examination [158–160]. Llewellyn et al. [161] and Cromie et al. [162] have successfully used needle-sized microendoscopes to visualize sarcomeres in human skeletal muscle in vivo. Hence, this quantitative microscopic assessment of muscle sarcomere characteristics may become useful as a complementary diagnostic tool to identify a more precise and quantifiable subcellular target for sarcopenia, frailty, and disability interventions. However, before such advancements can be made, this technology should be used to quantify such measures of muscle quality in frail and healthy human muscle and relate such findings to physical performance. In addition, beyond the costs and sophistication of SHG apparatus, some technical challenges remain for in vivo use such as live tissue motion, low signal, and coupling of the objective to the tissue for in vivo imaging [160, 162]. 3.3 Circulating Biomarkers Circulating biomarkers may provide an alternative measure of skeletal muscle quality that is both informative and clinically feasible and overcomes some of the barriers to muscle quality assessment. The International Working Group on Sarcopenia [163] previously has reported on biomarkers reflective of muscle status. Such markers have included anabolic hormones [e.g., testosterone, growth hormone (GH), insulin-like growth factor-1 (IGF-1)], inflammatory biomarkers (e.g., C-reactive protein, interleukin-6, tumor necrosis factor-a), and products of oxidative damage (e.g., advanced glycation end-products, protein carbonyls, oxidized low-density lipoproteins) [163]. In addition, several excellent reviews (hormones [164], sex steroid hormones [165], IGF-1 [166], GH [167], and cytokines [168]) have covered the circulating biomarkers of sarcopenia more in depth, focusing mostly on the hormonal milieu to support anabolic processes. Here we focus selectively on the emerging biomarkers that we have recently studied. As we [122] and other researchers [169] have shown, measures of muscle mass may give an incomplete picture of the functional scope of sarcopenia and may not be sensitive to changes. Besides the anabolic hormones and inflammatory markers, which nicely reflect the hormonal milieu to support anabolic processes, but may or may not translate to actual protein synthesis, other biomarkers that can be measured in the blood have emerged that can be reflective of actual tissue remodeling. These candidates include N-terminal peptide of procollagen type III (P3NP) and C-terminal agrin fragment (CAF). P3NP is a peptide fragment cleaved from the procollagen III molecule during type III collagen synthesis [170]. Type III collagen is a subtype of collagen located in

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Several treatment strategies have been evaluated for attenuating the age-related declines in skeletal muscle. Treatment strategies have mainly focused on hormone replacement therapies, dietary interventions, pharmaceuticals, and various types of physical exercise. Despite such research efforts, interventions using pharmaceutical or nutritional supplements to treat sarcopenia have lacked efficacy in improving muscle function and size due to inconclusive findings or limited evidence [178]. In addition, thus far, relatively few interventional strategies have focused on muscle quality-related outcomes. On the other hand, exercise training (especially resistance-type exercise) has consistently proven to be safe and highly effective intervention for increasing muscle mass, strength, and quality in older adults [178].

hormonal interventions have been implemented, they seldom demonstrate efficacy for improving muscle functioning. Moreover, studies administering hormonal treatments for treatment of sarcopenia in older adults have seldom reported muscle qualitative outcomes. Thus, although serum levels of the adrenal steroid hormone dehydroepiandrosterone (DHEA) [181] are associated with frailty characteristics in older adults [179], administration of exogenous DHEA supplementation does not appear to benefit measures of physical function or performance [182]. Similarly, while circulating estradiol is associated with skeletal muscle mass in older women [180], estrogen replacement therapy does not appear to protect against the muscle loss of aging [183]. In addition, long-term estrogen therapy does not appear to affect appendicular muscle mass, body composition, or physical performance in older women [184, 185]. On the other hand, androgens have shown some anabolic effects in older adults. Bioavailable testosterone is significantly associated with both higher skeletal muscle mass [180] and less skeletal muscle fat infiltration [186] in older men. When administered to older adults, testosterone has been shown to be able to effectively increase circulating testosterone levels and favorably affect body composition [187, 188]. However, despite the anabolic effects of testosterone administration, its effects on muscle quality and function have yet to be confirmed. Studies that have evaluated the effects of androgen therapy on muscle quality [188] and physical function in older men [187] did not show promising effects. However, androgen replacement therapy may be most effective in older men who are hypogonadal [189]. Nevertheless, the marginal benefits must be weighed in terms of the risks as higher doses are associated with a fear of accelerating prostate cancer [189]. Similarly, GH replacement therapy in older adults is associated with a high incidence of adverse effects, [189] and it does not appear to be any more beneficial to muscle strength than resistance training [189]. Finally, in one hormonal study that did measure muscle quality as both relative strength and CT attenuation, circulating concentrations of estrogen, DHEAS, and IGF-1 were correlated with muscle quality while testosterone and DHT (dihydrotestosterone) were not [190]. Regardless of the relationships, the efficacy of these hormones as exogenous treatment to improve muscle quality remains to be examined.

4.1 Hormonal Interventions

4.2 Future Directions in Pharmaceuticals

Hormonal interventions have typically been explored as a treatment for muscle wasting based on the cross-sectional associations between circulating hormone concentrations and skeletal muscle mass and characteristics of frailty in older men and women [179, 180]. However, when

To date, few drugs have been developed for sarcopenia specifically [191], due likely to the complexity of the muscle qualitative features associated with the condition along with the lack of a uniform set of clinical criteria to diagnose the condition [192]. In light of this need, an

skeletal muscles that provides a structural framework of the muscle for the alignment and growth of the myoblasts in muscle repair [171]. Previous research has indicated that older adults have reduced levels of circulating P3NP [172] and that changes in serum P3NP levels are predictive of changes in lean body mass and strength [172]. CAF is also a peptide fragment cleaved from the nerve-derived protein agrin in neuromuscular remodeling. Normally, the agrin protein is important to maintaining the NMJ [173]. However, excessive cleavage of agrin by the enzyme neurotrypsin leads to functional disintegration at the NMJ [173, 174]. Circulating CAF concentrations are elevated in older adults with sarcopenia [175] and frailty [176], potentially indicating breakdown of the NMJ. We evaluated changes in circulating concentration of P3NP and CAF in response to a preliminary intervention designed to increase muscle quality but not mass [177]. We found that circulating CAF increased to a clinically meaningful magnitude while changes in circulating P3NP were less clear, but appeared to reflect muscle hypertrophy [177]. While assessment of P3NP and CAF from blood samples may provide minimally invasive and clinically informative measures of skeletal muscle status in older adults, further research is needed to elucidate whether P3NP, CAF, or other biomarkers can reflect muscle qualitative adaptations with larger and longer studies.

4 Treatment Strategies

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international task force recently met to address the need for pharmaceutical trials for sarcopenia [193]. The task force reported that issues of safety and research developments have restricted the clinical applications of pharmaceutical interventions [193]. Nevertheless, with the increased understanding of the pathways contributing to sarcopenia and muscle quality, several potential targets for drug development have been identified [194]. Of the potential targets for drug development, circulatory, metabolic, neuromuscular, anabolic, catabolic, force generation, and signaling pathways have all been targeted, which are described in brief here. For further information on the pharmacological aspects of sarcopenia, please refer to a prior review by Brotto and Abreu [7]. Several physiological targets for drug development to combat sarcopenia and its qualitative consequences are being explored. Circulatory targets of drugs to treat sarcopenia have focused on ACE inhibitors that have shown some efficacy in improving physical performance [195, 196]. Mitochondrial targets have focused on promoting mitochondrial biogenesis and calcium metabolism with peroxisome proliferator-activated receptor-c coactivator 1a [197] and cyclophilin D inhibitors [198]. Anabolic targets have focused on selective androgen receptor modulators (SARMs), which are able to selectively target androgen receptors in the target tissue, thereby sparing androgen receptors in the prostate and myocardial tissue [199, 200]. Neuromuscular targets have targeted the agrin protein within the NMJ, which is involved in maintaining neuromuscular integrity [174]. Additional drug targets have focused on attenuating myonuclear apoptosis through myostatin inhibition [201] and attenuating myofibrillar degradation via proteasome inhibitors [202]. In addition, new drugs targeted at troponin activation may provide a potential therapeutic mechanism for increasing muscle force and strength [203]. Furthermore, more recent targets have focused on micro-RNAs that are able to that bind to complementary regions on numerous messenger RNAs (mRNAs) to modulate signaling cascades [204]. Several micro-RNAs have been associated with aging [205]. Treatment targets have focused on the role micro-RNAs in the control of myogenic commitment [206] and maintenance of the NMJ [207]. While research on these and other neuromuscular pathways are underway, these potential drugs are some way away from being available to the clinician and the patient and potential adverse effects are yet to be determined. 4.3 Nutritional Interventions Nutritional interventions provide a more accessible means to intervene in the age-related decrements in skeletal muscle as prescriptions are not necessary and adverse

effects are fewer and less severe. Nutritional interventions for sarcopenia have mostly focused on protein supplementation due to the protein synthetic pathways stimulated by the essential amino acids contained within them. In addition, some, but far less, research has investigated the effects of other nutritional supplements such as omega-3 fatty acids (O3FAs), creatine, b-hydroxy-b-methylbutyrate (HMB), and b-alanine on muscle factors in older adults. Interestingly, however, some research has shown that older adults may be less susceptible to the anabolic effects of protein than younger adults in what has been considered ‘anabolic resistance’. Although protein supplementation is a potent stimulator of protein synthesis in the skeletal muscle of younger adults, older adults’ muscle appears resistant to the anabolic stimulus [208, 209], possibly due to reduced expression and activation of anabolic signaling pathways [209]. Nevertheless, although dietary protein can improve protein synthesis [210], increasing dietary protein does not appear to improve muscle composition responses to resistance training in older adults any more than the benefits seen from resistance training alone [211]. Some studies by our laboratory and others have shown some efficacy in improving muscle strength, size, fatigue threshold, and function with supplementation with creatine [212, 213], b-alanine [214], and HMB [215]. Creatine is a common supplement used by athletes to increase stores of phosphocreatine for short-term energy production [216]. We have found that short-term supplementation with creatine in older women was able to increase muscle strength and performance without any adverse effects [213]. Similarly, Stout et al. [212] reported significant increases in grip strength and physical working capacity with creatine supplementation in older men and women. b-Alanine is an amino acid important for increasing muscle carnosine synthesis and improving muscle metabolic buffering capacity [217]. We have shown that a protein drink fortified with b-alanine may improve physical working capacity, muscle quality, and function in older men and women [214]. HMB is a metabolite of the essential amino acid leucine that induces acute muscle protein anabolism through increasing synthesis and attenuating degradation [218]. Stout et al. [215] reported that long-term supplementation with HMB in older adults can improve muscle strength and muscle quality. Despite some encouraging findings, other nutrients, such as self-reported O3FA intake [219], have shown no associations with lower extremity function. Similarly, Fiatarone et al. [30] showed that a multi-nutrient supplementation without concomitant exercise does not reduce muscle weakness or physical frailty. While some nutritional strategies look encouraging for targeting various muscle quantitative and qualitative features, further research is needed to identify the optimal nutritional approach for preventing and treating sarcopenia

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and investigating muscle qualitative features more thoroughly. 4.4 Exercise and Physical Activity Physical activity, especially in the form of resistance exercise training, has been consistently shown to be a feasible and effective means of counteracting muscle weakness and physical frailty and improving muscle strength, size, and function [30, 220, 221], even at a very old age ([80 years) [222]. Although varying exercise protocols have shown effectiveness for increasing muscle quantity, quality, and strength, the dosage in terms of intensity, frequency, and volume ultimately dictates the expected outcomes [9]. Sufficient resistance training intensity (70–90 % of 1 repetition maximum) [223, 224], frequency, and duration (three times a week for 8–12 weeks) [224] is well-tolerated in older adults [225] and required to elicit the desired muscular responses. The American College of Sports Medicine (ACSM) [226] recommends that older adults participate in a variety of exercises including endurance, resistance, flexibility, and balance exercises to increase active life expectancy and to limit the development and progression of disabling conditions. Each mode of exercise stimulates specific muscular adaptations. While physical activity in general is important for maintaining physical functioning, resistance (strength) exercise training remains the most effective intervention for increasing muscle mass and strength in older people [189, 227]. A 2009 Cochrane review of 121 randomized controlled trials involving 6,700 participants showed that progressive resistance exercise training is an effective and safe intervention for improving physical functioning in older people with few adverse events [228]. Similar to younger adults, the plasticity of skeletal muscle in response to resistance exercise training is somewhat maintained with aging [229]. Resistance training leads to increases in muscle strength and power of both the upper and lower body in older adults [230]. Even frail older adults aged [90 years have shown profound strength improvements of 174 % in response to resistance exercise training [231]. While the gains appear continual with training, the greatest gains are often seen within in the first 3 months of training [232]. However, in contrast to younger adults who experience both marked increases in neural function and hypertrophy with training, gains in muscle strength and power in older adults are predominantly determined by neural adaptations [233]. Neural adaptations resulting in strength and power improvements involve increased voluntary activation of the agonist muscles and reduced coactivation of the antagonist muscles [233]. In addition, long-term exercise promotes the

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reinnervation of muscle fibers and may spare the loss of fibers due to denervation by selective recruitment to slow fibers [69]. Some newer evidence also suggests that high threshold motor units may be preserved with oscillatory contractions [234]. Older adults also demonstrate a preservation of thigh girth [235], evidence of muscle hypertrophy at the fiber level [236], and an increase in myofibrillar protein turnover [237] that accompany strength gains in response to resistance training. In addition, resistance training is able to stimulate a similar shift in the expression of myosin heavy chain (MHC) isoforms (from MHC IIb to MHC IIa) in older adults to that in younger adults [229]. Despite the somewhat maintained neuromuscular plasticity with training in aged muscle, the muscular anabolic response is somewhat attenuated with age [230, 238]. The reason for the dampened response is likely attributable to endocrine or neuromuscular impairments [230]. In comparison to younger adults, untrained older adults show an attenuated hormonal response to exercise [239] and downregulation of the skeletal muscle IGF-1 system [240], which may impair hypertrophic capacity. However, resistance training has shown to counteract these changes by enhancing the hormonal response to resistance exercise (i.e., decreased resting cortisol and increase circulating testosterone) [239] and reversing the age-related downregulation of the skeletal muscle IGF-1 system [240], which may promote anabolic potential. Also, within the muscle, age-related alterations in myonuclei may impair hypertrophic capacity [241, 242]. Changes in myonuclear content represent a mechanism for modulating protein content and hypertrophy [243–245]. Since myonuclei regulate gene expression and protein synthesis of the surrounding muscle fiber [246], the age-related reduced responsiveness of skeletal muscle may relate to alterations in myonuclear number, distribution, and function [241, 242]. Animal models indicate that the myonuclei of aged type II muscle fibers demonstrate a decrease in pre-mRNA transcription, processing, and transport rate compared with younger adult animals [242]. However, the myonuclear domains of type I and IIa are smaller than in IIb fibers [245], theoretically providing greater potential for proportional hypertrophy within them without exceeding the myonuclear domain. Regardless, resistance training has shown to reverse the age-related decline in myonuclei precursor satellite cells [247], thereby enhancing the potential for enhanced myonuclear dictated hypertrophy. In addition, the positioning of myonuclei along muscle fibers is plastic and influenced by blood supply [248]. With greater blood supply, the number of myonuclei is higher in slow than in fast fibers, despite the greater absolute size of fast fibers [249–251]. Interestingly, myonuclear content is

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correlated with mitochondrial content [251], which is also reduced in aged human skeletal muscle. The downregulation of mitochondrial biogenesis in older individuals is believed to be due to reduced metabolism and chronic inflammation [252]. Moreover, older adults have a lower proportion of intramyocellular lipids in contact with mitochondria [112], perhaps as a result of reduced physical activity since exercise causes a proximal subcellular shift of lipid droplets to the mitochondria [253]. Endurance exercise training in older adults elicits a proliferation of muscle capillaries and an increase in oxidative enzyme activity within the muscle [9]. In addition, resistance exercise can improve mitochondrial capacity [254] and reverse the age-related declines in mitochondrial function [255]. Hence, although some anabolic mechanisms may be dampened with aging, many of the age-associated reductions in muscle quality may be attenuated by physical activity. Mechanisms through which exercise may influence muscle quality and functional status are complex. However, qualitative improvements in muscle appear to account for the adaptations more so than muscle hypertrophy [23, 256] or other muscle parameters [257]. Evidence of muscle qualitative improvements stem from interventional studies that show disproportionate improvements in muscle function to muscle size [258]. Muscular qualitative improvements include attenuating age-related intramuscular adipose infiltration [103], increasing muscle fiber area [220], muscle power [30], relative strength [259], MQI [85], PCSA [122], neuromuscular functioning [222], and increasing contractile protein [260]. The stimuli for regeneration of myofibrils involve the mechanical disruption during exercise [261]. Interestingly, some evidence suggests that older men experience greater muscle disruption following eccentric exercise than young men, which may be due in part to the smaller muscle mass [262]. Although older individuals have reduced protein synthesis as compared with younger adults during the resting state, muscle protein synthesis capacity stimulated by exercise is preserved in old age [46, 48, 263]. More specifically, resistance exercise increases the synthesis rate of major contractile proteins, MHC, actin, and mixed muscle proteins [46] and shifts the expression of MHC isoforms from MHC IIb to MHC IIa [229]. Resistance exercise is associated with increased presence of developmental isoforms [261], implicating muscle regeneration through activation of new myogenic precursors in frail elders. In addition, exercise may reduce intramuscular lipid accumulation via enhanced lipolysis stimulated by muscle contraction and epinephrine release [264, 265]. Enhanced hormonal profiles [238], including increased IGF-1 [261], likely mediate protein synthesis for new or hypertrophied myofibril formation in the muscle of older adults in response to

resistance exercise. Moreover, exercise training increases resting fascicle length due to the addition of sarcomeres in series [120, 266], potentially reversing aging-induced reductions in fascicle length.

5 Conclusions Despite the detrimental contributions of aging on skeletal muscle, no consensus definition, diagnostic tests, or medical treatments currently exist for sarcopenia [267], dynapenia, or muscle quality. Understanding muscle qualitative factors contributing to functional impairments at the most basic physiological level will ultimately help both clinicians and patients by identifying risk factors and developing interventions and treatments. Given the role that muscle quality plays in function, more direct measures at an ultrastructural level could potentially provide prognostic information. Emerging technology holds promise to provide a means of assessing muscle quality changes at an ultrastructural level. By measuring muscle quality, strategies to identify individuals at ‘high risk’ of functional decline and frailty can be developed and more aggressive care and interventions can be implemented. Muscle disuse is a feasible target for intervention for the onset of muscle weakness and frailty in older adults. Putting under-utilized muscles to work in a resistance exercise training program is repeatedly shown to be an effective and feasible means to maintain and improve function and improve muscle quality. Although some mechanisms are attenuated with aging, benefits can still be achieved in function and performance from exercise training through alternative adaptations in fiber characteristics and muscle quality. Acknowledgments The authors have no potential conflicts of interest that are directly relevant to the content of this review. No sources of funding were used to assist in the preparation of this review.

References 1. Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147(8):755–63. 2. Janssen I. Influence of sarcopenia on the development of physical disability: the Cardiovascular Health Study. J Am Geriatr Soc. 2006;54(1):56–62. 3. Cooper C, Fielding R, Visser M, et al. Tools in the assessment of sarcopenia. Calcif Tissue Int. 2013;93(3):201–10. 4. Barbat-Artigas S, Rolland Y, Zamboni M, et al. How to assess functional status: a new muscle quality index. J Nutr Health Aging. 2012;16(1):67–77. 5. Correa-de-Araujo R, Hadley E. Skeletal muscle function deficit: a new terminology to embrace the evolving concepts of sarcopenia and age-related muscle dysfunction. J Gerontol A Biol Sci Med Sci. 2014;69(5):591–4.

123

M. S. Fragala et al. 6. Maggio M, Lauretani F, Ceda GP. Sex hormones and sarcopenia in older persons. Curr Opin Clin Nutr Metab Care. 2013;16(1):3–13. 7. Brotto M, Abreu EL. Sarcopenia: pharmacology of today and tomorrow. J Pharmacol Exp Ther. 2012;343(3):540–6. 8. Landi F, Marzetti E, Martone AM, et al. Exercise as a remedy for sarcopenia. Curr Opin Clin Nutr Metab Care. 2014;17(1):25–31. 9. Rogers MA, Evans WJ. Changes in skeletal muscle with aging: effects of exercise training. Exerc Sport Sci Rev. 1993;21:65–102. 10. Fried LP, Walston JD, Ferrucci LF. In: Halter JB, Ouslander JG, Tinetti ME, et al., editors. Hazzard’s geriatric medicine and gerontology. 6th ed. San Francisco: McGraw-Hill Professional; 2009. p. 631–45. 11. Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci. 2007;62(7):722–7. 12. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56. 13. Hogan DB, MacKnight C, Bergman H. Models, definitions, and criteria of frailty. Aging Clin Exp Res. 2003;15(3 Suppl):1–29. 14. Marzetti E, Leeuwenburgh C. Skeletal muscle apoptosis, sarcopenia and frailty at old age. Exp Gerontol. 2006;41(12):1234–8. 15. Hyatt RH, Whitelaw MN, Bhat A, et al. Association of muscle strength with functional status of elderly people. Age Ageing. 1990;19(5):330–6. 16. Campbell AJ, Borrie MJ, Spears GF. Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989;44(4):M112–7. 17. Rantanen T, Guralnik JM, Ferrucci L, et al. Coimpairments: strength and balance as predictors of severe walking disability. J Gerontol A Biol Sci Med Sci. 1999;54(4):M172–6. 18. Muhlberg W, Sieber C. Sarcopenia and frailty in geriatric patients: implications for training and prevention. Z Gerontol Geriatr. 2004;37(1):2–8. 19. Karavirta L, Hakkinen K, Kauhanen A, et al. Individual responses to combined endurance and strength training in older adults. Med Sci Sports Exerc. 2011;43(3):484–90. 20. Bortz WM 2nd. Disuse and aging. JAMA. 1982;248(10):1203–8. 21. Melton LJ 3rd, Khosla S, Riggs BL. Epidemiology of sarcopenia. Mayo Clin Proc. 2000;75 Suppl:S10–2 (discussion S12–3). 22. Roubenoff R, Hughes VA. Sarcopenia: current concepts. J Gerontol A Biol Sci Med Sci. 2000;55(12):M716–24. 23. Frontera WR, Hughes VA, Lutz KJ, et al. A cross-sectional study of muscle strength and mass in 45–78-yr-old men and women. J Appl Physiol. 1991;71(2):644–50. 24. Reed RL, Pearlmutter L, Yochum K, et al. The relationship between muscle mass and muscle strength in the elderly. J Am Geriatr Soc. 1991;39(6):555–61. 25. Clark BC, Manini TM. Sarcopenia = dynapenia. J Gerontol A Biol Sci Med Sci. 2008;63(8):829–34. 26. Alley DE, Shardell MD, Peters KW, et al. Grip strength cutpoints for the identification of clinically relevant weakness. J Gerontol A Biol Sci Med Sci. 2014;69(5):559–66. 27. Clark BC, Manini TM. Functional consequences of sarcopenia and dynapenia in the elderly. Curr Opin Clin Nutr Metab Care. 2010;13(3):271–6. 28. Visser M, Goodpaster BH, Kritchevsky SB, et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. J Gerontol A Biol Sci Med Sci. 2005;60(3):324–33.

123

29. Bassey EJ, Fiatarone MA, O’Neill EF, et al. Leg extensor power and functional performance in very old men and women. Clin Sci (Lond). 1992;82(3):321–7. 30. Fiatarone MA, O’Neill EF, Ryan ND, et al. Exercise training and nutritional supplementation for physical frailty in very elderly people. N Engl J Med. 1994;330(25):1769–75. 31. Foldvari M, Clark M, Laviolette LC, et al. Association of muscle power with functional status in community-dwelling elderly women. J Gerontol A Biol Sci Med Sci. 2000;55(4):M192–9. 32. 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(1):72–7. 33. Goodpaster BH, Park SW, Harris TB, et al. The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci. 2006;61(10):1059–64. 34. Metter EJ, Lynch N, Conwit R, et al. Muscle quality and age: cross-sectional and longitudinal comparisons. J Gerontol A Biol Sci Med Sci. 1999;54(5):B207–18. 35. Overend TJ, Cunningham DA, Kramer JF, et al. Knee extensor and knee flexor strength: cross-sectional area ratios in young and elderly men. J Gerontol. 1992;47(6):M204–10. 36. Larsson L, Grimby G, Karlsson J. Muscle strength and speed of movement in relation to age and muscle morphology. J Appl Physiol. 1979;46(3):451–6. 37. Delmonico MJ, Harris TB, Visser M, et al. Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr. 2009;90(6):1579–85. 38. Phillips SK, Woledge RC, Bruce SA, et al. A study of force and cross-sectional area of adductor pollicis muscle in female hip fracture patients. J Am Geriatr Soc. 1998;46(8):999–1002. 39. Lexell J, Taylor CC, Sjostrom M. What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15- to 83-year-old men. J Neurol Sci. 1988;84(2–3):275–94. 40. Tomonaga M. Histochemical and ultrastructural changes in senile human skeletal muscle. J Am Geriatr Soc. 1977;25(3):125–31. 41. Lexell J, Henriksson-Larsen K, Winblad B, et al. Distribution of different fiber types in human skeletal muscles: effects of aging studied in whole muscle cross sections. Muscle Nerve. 1983;6(8):588–95. 42. Larsson L, Sjodin B, Karlsson J. Histochemical and biochemical changes in human skeletal muscle with age in sedentary males, age 22–65 years. Acta Physiol Scand. 1978;103(1):31–9. 43. Kirkeby S, Garbarsch C. Aging affects different human muscles in various ways. An image analysis of the histomorphometric characteristics of fiber types in human masseter and vastus lateralis muscles from young adults and the very old. Histol Histopathol. 2000;15(1):61–71. 44. Yu F, Hedstrom M, Cristea A, et al. Effects of ageing and gender on contractile properties in human skeletal muscle and single fibres. Acta Physiol (Oxf). 2007;190(3):229–41. 45. Kimball SR, Jefferson LS. Control of protein synthesis by amino acid availability. Curr Opin Clin Nutr Metab Care. 2002;5(1):63–7. 46. Hasten DL, Pak-Loduca J, Obert KA, et al. Resistance exercise acutely increases MHC and mixed muscle protein synthesis rates in 78–84 and 23–32 yr olds. Am J Physiol Endocrinol Metab. 2000;278(4):E620–6. 47. Rooyackers OE, Adey DB, Ades PA, et al. Effect of age on in vivo rates of mitochondrial protein synthesis in human skeletal muscle. Proc Natl Acad Sci. 1996;93(26):15364–9.

Muscle Quality in Aging 48. Welle S, Thornton C, Jozefowicz R, et al. Myofibrillar protein synthesis in young and old men. Am J Physiol. 1993;264(5 Pt 1):E693–8. 49. Balagopal P, Rooyackers OE, Adey DB, et al. Effects of aging on in vivo synthesis of skeletal muscle myosin heavy-chain and sarcoplasmic protein in humans. Am J Physiol. 1997;273(4 Pt 1):E790–800. 50. Schaap LA, Pluijm SM, Deeg DJ, et al. Inflammatory markers and loss of muscle mass (sarcopenia) and strength. Am J Med. 2006;119(6):526 e9–17. 51. Bautmans I, Njemini R, Lambert M, et al. Circulating acute phase mediators and skeletal muscle performance in hospitalized geriatric patients. J Gerontol A Biol Sci Med Sci. 2005;60(3):361–7. 52. Ferrucci L, Penninx BW, Volpato S, et al. Change in muscle strength explains accelerated decline of physical function in older women with high interleukin-6 serum levels. J Am Geriatr Soc. 2002;50(12):1947–54. 53. Lang CH, Frost RA, Nairn AC, et al. TNF-alpha impairs heart and skeletal muscle protein synthesis by altering translation initiation. Am J Physiol Endocrinol Metab. 2002;282(2):E336–47. 54. Roubenoff R. Catabolism of aging: is it an inflammatory process? Curr Opin Clin Nutr Metab Care. 2003;6(3):295–9. 55. Visser M, Kritchevsky SB, Goodpaster BH, et al. Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70–79: the health, aging and body composition study. J Am Geriatr Soc. 2002;50(5):897–904. 56. Ramamurthy B, Larsson L. Detection of an aging-related increase in advanced glycation end products in fast- and slowtwitch skeletal muscles in the rat. Biogerontology. 2013;14(3):293–301. 57. Scelsi R, Marchetti C, Poggi P. Histochemical and ultrastructural aspects of m. vastus lateralis in sedentary old people (age 65–89 years). Acta Neuropathol. 1980;51(2):99–105. 58. Burd NA, Gorissen SH, van Loon LJ. Anabolic resistance of muscle protein synthesis with aging. Exerc Sport Sci Rev. 2013;41(3):169–73. 59. Yarasheski KE. Exercise, aging, and muscle protein metabolism. J Gerontol A Biol Sci Med Sci. 2003;58(10):M918–22. 60. Pette D, Staron RS. Myosin isoforms, muscle fiber types, and transitions. Microsc Res Tech. 2000;50(6):500–9. 61. Krivickas LS, Suh D, Wilkins J, et al. Age- and gender-related differences in maximum shortening velocity of skeletal muscle fibers. Am J Phys Med Rehabil. 2001;80(6):447–55 (quiz 456–7). 62. Lexell J, Downham D, Sjostrom M. Distribution of different fibre types in human skeletal muscles. Fibre type arrangement in m. vastus lateralis from three groups of healthy men between 15 and 83 years. J Neurol Sci. 1986;72(2–3):211–22. 63. Larsson L, Salviati G. Effects of age on calcium transport activity of sarcoplasmic reticulum in fast- and slow-twitch rat muscle fibres. J Physiol. 1989;419:253–64. 64. Hook P, Li X, Sleep J, et al. The effect of age on in vitro motility speed of slow myosin extracted from single rat soleus fibres. Acta Physiol Scand. 1999;167(4):325–6. 65. Burke RE, Levine DN, Zajac FE 3rd. Mammalian motor units: physiological-histochemical correlation in three types in cat gastrocnemius. Science. 1971;174(10):709–12. 66. Tomlinson BE, Irving D. The numbers of limb motor neurons in the human lumbosacral cord throughout life. J Neurol Sci. 1977;34(2):213–9. 67. Gawel M, Kostera-Pruszczyk A. Effect of age and gender on the number of motor units in healthy subjects estimated by the multipoint incremental MUNE method. J Clin Neurophysiol. 2014;31(3):272–8.

68. Campbell MJ, McComas AJ, Petito F. Physiological changes in ageing muscles. J Neurol Neurosurg Psychiatry. 1973;36(2):174–82. 69. Mosole S, Carraro U, Kern H, et al. Long-term high-level exercise promotes muscle reinnervation with age. J Neuropathol Exp Neurol. 2014;73(4):284–94. 70. Mittal KR, Logmani FH. Age-related reduction in 8th cervical ventral nerve root myelinated fiber diameters and numbers in man. J Gerontol. 1987;42(1):8–10. 71. Arnold N, Harriman DG. The incidence of abnormality in control human peripheral nerves studied by single axon dissection. J Neurol Neurosurg Psychiatry. 1970;33(1):55–61. 72. Deschenes MR. Motor unit and neuromuscular junction remodeling with aging. Curr Aging Sci. 2011;4(3):209–20. 73. Delbono O. Regulation of excitation contraction coupling by insulin-like growth factor-1 in aging skeletal muscle. J Nutr Health Aging. 2000;4(3):162–4. 74. McComas AJ, Upton AR, Sica RE. Motoneurone disease and ageing. Lancet. 1973;2(7844):1477–80. 75. Lynch NA, Metter EJ, Lindle RS, et al. Muscle quality. I. Ageassociated differences between arm and leg muscle groups. J Appl Physiol (1985). 1999;86(1):188–94. 76. Tracy BL, Ivey FM, Hurlbut D, et al. Muscle quality. II. Effects of strength training in 65–75-yr-old men and women. J Appl Physiol. 1999;86(1):195–201. 77. Lindle RS, Metter EJ, Lynch NA, et al. Age and gender comparisons of muscle strength in 654 women and men aged 20–93 yr. J Appl Physiol. 1997;83(5):1581–7. 78. Lynch NA, Metter EJ, Lindle RS, et al. Muscle quality. I. Ageassociated differences between arm and leg muscle groups. J Appl Physiol. 1999;86(1):188–94. 79. Misic MM, Rosengren KS, Woods JA, et al. Muscle quality, aerobic fitness and fat mass predict lower-extremity physical function in community-dwelling older adults. Gerontology. 2007;53(5):260–6. 80. Barbat-Artigas S, Rolland Y, Cesari M, et al. Clinical relevance of different muscle strength indexes and functional impairment in women aged 75 years and older. J Gerontol A Biol Sci Med Sci. 2013;68(7):811–9. 81. Estrada M, Kleppinger A, Judge JO, et al. Functional impact of relative versus absolute sarcopenia in healthy older women. J Am Geriatr Soc. 2007;55(11):1712–9. 82. Barbat-Artigas S, Rolland Y, Vellas B, et al. Muscle quantity is not synonymous with muscle quality. J Am Med Dir Assoc. 2013;14(11):852 e1–7. 83. Yamauchi J, Mishima C, Nakayama S, et al. Aging-related differences in maximum force, unloaded velocity and power of human leg multi-joint movement. Gerontology. 2010;56(2):167–74. 84. Takai Y, Ohta M, Akagi R, et al. Sit-to-stand test to evaluate knee extensor muscle size and strength in the elderly: a novel approach. J Physiol Anthropol. 2009;28(3):123–8. 85. Fragala MS, Fukuda DH, Stout JR, et al. Muscle quality index improves with resistance exercise training in older adults. Exp Gerontol. 2014;53:1–6. 86. Kyle UG, Genton L, Hans D, et al. Total body mass, fat mass, fat-free mass, and skeletal muscle in older people: cross-sectional differences in 60-year-old persons. J Am Geriatr Soc. 2001;49(12):1633–40. 87. Fragala MS, Clark MH, Walsh SJ, et al. Gender differences in anthropometric predictors of physical performance in older adults. Gend Med. 2012;9(6):445–56. 88. Newman AB, Haggerty CL, Goodpaster B, et al. Strength and muscle quality in a well-functioning cohort of older adults: the Health, Aging and Body Composition Study. J Am Geriatr Soc. 2003;51(3):323–30.

123

M. S. Fragala et al. 89. Villareal DT, Apovian CM, Kushner RF, et al. Obesity in older adults: technical review and position statement of the American Society for Nutrition and NAASO, the Obesity Society. Obes Res. 2005;13(11):1849–63. 90. Zizza CA, Herring A, Stevens J, et al. Obesity affects nursingcare facility admission among whites but not blacks. Obes Res. 2002;10(8):816–23. 91. Forsberg AM, Nilsson E, Werneman J, et al. Muscle composition in relation to age and sex. Clin Sci (Lond). 1991;81(2):249–56. 92. Goodpaster BH, Carlson CL, Visser M, et al. Attenuation of skeletal muscle and strength in the elderly: the Health ABC Study. J Appl Physiol. 2001;90(6):2157–65. 93. Fuller NJ, Hardingham CR, Graves M, et al. Assessment of limb muscle and adipose tissue by dual-energy X-ray absorptiometry using magnetic resonance imaging for comparison. Int J Obes Relat Metab Disord. 1999;23(12):1295–302. 94. Ruan XY, Gallagher D, Harris T, et al. Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images. J Appl Physiol. 2007;102(2): 748–54. 95. Kim J, Wang Z, Heymsfield SB, et al. Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method. Am J Clin Nutr. 2002;76(2):378–83. 96. Heymsfield SB, Wang Z, Baumgartner RN, et al. Human body composition: advances in models and methods. Annu Rev Nutr. 1997;17:527–58. 97. Goodpaster BH, Thaete FL, Kelley DE. Composition of skeletal muscle evaluated with computed tomography. Ann N Y Acad Sci. 2000;904:18–24. 98. Overend TJ, Cunningham DA, Paterson DH, et al. Thigh composition in young and elderly men determined by computed tomography. Clin Physiol. 1992;12(6):629–40. 99. Visser M, Pahor M, Tylavsky F, et al. One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women. J Appl Physiol. 2003;94(6):2368–74. 100. Goodpaster BH, Kelley DE, Thaete FL, et al. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J Appl Physiol. 2000;89(1):104–10. 101. Nordal HJ, Dietrichson P, Eldevik P, et al. Fat infiltration, atrophy and hypertrophy of skeletal muscles demonstrated by X-ray computed tomography in neurological patients. Acta Neurol Scand. 1988;77(2):115–22. 102. Goodpaster BH, Theriault R, Watkins SC, et al. Intramuscular lipid content is increased in obesity and decreased by weight loss. Metabolism. 2000;49(4):467–72. 103. Goodpaster BH, Chomentowski P, Ward BK, et al. Effects of physical activity on strength and skeletal muscle fat infiltration in older adults: a randomized controlled trial. J Appl Physiol. 2008;105(5):1498–503. 104. Hilton TN, Tuttle LJ, Bohnert KL, et al. Excessive adipose tissue infiltration in skeletal muscle in individuals with obesity, diabetes mellitus, and peripheral neuropathy: association with performance and function. Phys Ther. 2008;88(11): 1336–44. 105. Lauretani F, Bandinelli S, Bartali B, et al. Axonal degeneration affects muscle density in older men and women. Neurobiol Aging. 2006;27(8):1145–54. 106. Schrager MA, Metter EJ, Simonsick E, et al. Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol. 2007;102(3):919–25. 107. Cesari M, Leeuwenburgh C, Lauretani F, et al. Frailty syndrome and skeletal muscle: results from the Invecchiare in Chianti study. Am J Clin Nutr. 2006;83(5):1142–8.

123

108. Boesch C, Machann J, Vermathen P, et al. Role of proton MR for the study of muscle lipid metabolism. NMR Biomed. 2006;19(7):968–88. 109. Szczepaniak LS, Dobbins RL, Stein DT, et al. Bulk magnetic susceptibility effects on the assessment of intra- and extramyocellular lipids in vivo. Magn Reson Med. 2002;47(3):607–10. 110. Pan DA, Lillioja S, Kriketos AD, et al. Skeletal muscle triglyceride levels are inversely related to insulin action. Diabetes. 1997;46(6):983–8. 111. Nakagawa Y, Hattori M, Harada K, et al. Age-related changes in intramyocellular lipid in humans by in vivo H-MR spectroscopy. Gerontology. 2007;53(4):218–23. 112. Crane JD, Devries MC, Safdar A, et al. The effect of aging on human skeletal muscle mitochondrial and intramyocellular lipid ultrastructure. J Gerontol A Biol Sci Med Sci. 2010;65(2):119–28. 113. Conley KE, Jubrias SA, Esselman PC. Oxidative capacity and ageing in human muscle. J Physiol. 2000;526(Pt 1):203–10. 114. Fukunaga T, Kawakami Y, Kuno S, et al. Muscle architecture and function in humans. J Biomech. 1997;30(5):457–63. 115. Gans C, Gaunt AS. Muscle architecture in relation to function. J Biomech. 1991;24(Suppl 1):53–65. 116. Lieber RL, Friden J. Functional and clinical significance of skeletal muscle architecture. Muscle Nerve. 2000;23(11):1647–66. 117. Gans C, de Vree F. Functional bases of fiber length and angulation in muscle. J Morphol. 1987;192(1):63–85. 118. Kawakami Y, Abe T, Fukunaga T. Muscle-fiber pennation angles are greater in hypertrophied than in normal muscles. J Appl Physiol. 1993;74(6):2740–4. 119. Narici MV, Maganaris CN, Reeves ND, et al. Effect of aging on human muscle architecture. J Appl Physiol. 2003;95(6):2229–34. 120. Reeves ND, Narici MV, Maganaris CN. In vivo human muscle structure and function: adaptations to resistance training in old age. Exp Physiol. 2004;89(6):675–89. 121. Narici MV, Maganaris CN. Adaptability of elderly human muscles and tendons to increased loading. J Anat. 2006;208(4):433–43. 122. Scanlon TC, Fragala MS, Stout JR, et al. Muscle architecture and strength: adaptations to short-term resistance training in older adults. Muscle Nerve. 2014;49(4):584–92. 123. Ochala J, Frontera WR, Dorer DJ, et al. Single skeletal muscle fiber elastic and contractile characteristics in young and older men. J Gerontol A Biol Sci Med Sci. 2007;62(4):375–81. 124. Frontera WR, Reid KF, Phillips EM, et al. Muscle fiber size and function in elderly humans: a longitudinal study. J Appl Physiol. 2008;105(2):637–42. 125. D’Antona G, Pellegrino MA, Carlizzi CN, et al. Deterioration of contractile properties of muscle fibres in elderly subjects is modulated by the level of physical activity. Eur J Appl Physiol. 2007;100(5):603–11. 126. Larsson L, Li X, Frontera WR. Effects of aging on shortening velocity and myosin isoform composition in single human skeletal muscle cells. Am J Physiol. 1997;272(2 Pt 1):C638–49. 127. Wang K, Ramirez-Mitchell R. A network of transverse and longitudinal intermediate filaments is associated with sarcomeres of adult vertebrate skeletal muscle. J Cell Biol. 1983;96(2):562–70. 128. Huxley AF. Muscle structure and theories of contraction. Prog Biophys Chem. 1957;7:255–318. 129. Clark KA, McElhinny AS, Beckerle MC, et al. Striated muscle cytoarchitecture: an intricate web of form and function. Annu Rev Cell Dev Biol. 2002;18:637–706. 130. Frank D, Kuhn C, Katus HA, et al. The sarcomeric Z-disc: a nodal point in signalling and disease. J Mol Med. 2006;84(6):446–68.

Muscle Quality in Aging 131. Au Y. The muscle ultrastructure: a structural perspective of the sarcomere. Cell Mol Life Sci. 2004;61(24):3016–33. 132. Luther PK, Padron R, Ritter S, et al. Heterogeneity of Z-band structure within a single muscle sarcomere: implications for sarcomere assembly. J Mol Biol. 2003;332(1):161–9. 133. Gordon AM, Huxley AF, Julian FJ. The variation in isometric tension with sarcomere length in vertebrate muscle fibres. J Physiol. 1966;184(1):170–92. 134. Herzog W, Kamal S, Clarke HD. Myofilament lengths of cat skeletal muscle: theoretical considerations and functional implications. J Biomech. 1992;25(8):945–8. 135. Kragstrup TW, Kjaer M, Mackey AL. Structural, biochemical, cellular, and functional changes in skeletal muscle extracellular matrix with aging. Scand J Med Sci Sports. 2011;21(6):749–57. 136. Tanner BC, Daniel TL, Regnier M. Sarcomere lattice geometry influences cooperative myosin binding in muscle. PLoS Comput Biol. 2007;3(7):e115. 137. Visser M, Langlois J, Guralnik JM, et al. High body fatness, but not low fat-free mass, predicts disability in older men and women: the Cardiovascular Health Study. Am J Clin Nutr. 1998;68(3):584–90. 138. Plotnikov SV, Kenny AM, Walsh SJ, et al. Measurement of muscle disease by quantitative second-harmonic generation imaging. J Biomed Opt. 2008;13(4):044018. 139. Gollapudi SK, Lin DC. Experimental determination of sarcomere force-length relationship in type-I human skeletal muscle fibers. J Biomech. 2009;42(13):2011–6. 140. Cartwright MS, Demar S, Griffin LP, et al. Validity and reliability of nerve and muscle ultrasound. Muscle Nerve. 2013;47(4):515–21. 141. Scott JM, Martin DS, Ploutz-Snyder R, et al. Reliability and validity of panoramic ultrasound for muscle quantification. Ultrasound Med Biol. 2012;38(9):1656–61. 142. Pillen S, Tak RO, Zwarts MJ, et al. Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity. Ultrasound Med Biol. 2009;35(3):443–6. 143. Rosenberg JG, Ryan ED, Sobolewski EJ, et al. Reliability of panoramic ultrasound imaging to simultaneously examine muscle size and quality of the medial gastrocnemius. Muscle Nerve. 2014;49(5):736–40. 144. Pillen S, van Dijk JP, Weijers G, et al. Quantitative gray-scale analysis in skeletal muscle ultrasound: a comparison study of two ultrasound devices. Muscle Nerve. 2009;39(6):781–6. 145. Cadore EL, Izquierdo M, Conceicao M, et al. Echo intensity is associated with skeletal muscle power and cardiovascular performance in elderly men. Exp Gerontol. 2012;47(6):473–8. 146. Trip J, Pillen S, Faber CG, et al. Muscle ultrasound measurements and functional muscle parameters in non-dystrophic myotonias suggest structural muscle changes. Neuromuscul Disord. 2009;19(7):462–7. 147. Roth SM, Martel GF, Rogers MA. Muscle biopsy and muscle fiber hypercontraction: a brief review. Eur J Appl Physiol. 2000;83(4–5):239–45. 148. Mouton P. Principles and practices of unbiased stereology. An introduction for bioscientists. Baltimore: Johns Hopkins University Press; 2002. 149. Campagnola PJ, Loew LM. Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms. Nat Biotechnol. 2003;21(11):1356–60. 150. Both M, Vogel M, Friedrich O, et al. Second harmonic imaging of intrinsic signals in muscle fibers in situ. J Biomed Opt. 2004;9(5):882–92. 151. Greenhalgh C, Prent N, Green C, et al. Influence of semicrystalline order on the second-harmonic generation efficiency in the anisotropic bands of myocytes. Appl Opt. 2007;46(10):1852–9.

152. Plotnikov S, Juneja V, Isaacson AB, et al. Optical clearing for improved contrast in second harmonic generation imaging of skeletal muscle. Biophys J. 2006;90(1):328–39. 153. Plotnikov SV, Millard AC, Campagnola PJ, et al. Characterization of the myosin-based source for second-harmonic generation from muscle sarcomeres. Biophys J. 2006;90(2):693–703. 154. Mohler W, Millard AC, Campagnola PJ. Second harmonic generation imaging of endogenous structural proteins. Methods. 2003;29(1):97–109. 155. Liu W, Raben N, Ralston E. Quantitative evaluation of skeletal muscle defects in second harmonic generation images. J Biomed Opt. 2013;18(2):26005. 156. Buttgereit A, Weber C, Friedrich O. A novel quantitative morphometry approach to assess regeneration in dystrophic skeletal muscle. Neuromuscul Disord. 2014;24(7):596–603. 157. Nan X, Cheng JX, Xie XS. Vibrational imaging of lipid droplets in live fibroblast cells with coherent anti-Stokes Raman scattering microscopy. J Lipid Res. 2003;44(11):2202–8. 158. Flusberg BA, Cocker ED, Piyawattanametha W, et al. Fiberoptic fluorescence imaging. Nat Methods. 2005;2(12):941–50. 159. Fu L, Gan X, Gu M. Use of a single-mode fiber coupler for second-harmonic-generation microscopy. Opt Lett. 2005;30(4):385–7. 160. Rothstein EC, Nauman M, Chesnick S, et al. Multi-photon excitation microscopy in intact animals. J Microsc. 2006;222(Pt 1):58–64. 161. Llewellyn ME, Barretto RP, Delp SL, et al. Minimally invasive high-speed imaging of sarcomere contractile dynamics in mice and humans. Nature. 2008;454(7205):784–8. 162. Cromie MJ, Sanchez GN, Schnitzer MJ, et al. Sarcomere lengths in human extensor carpi radialis brevis measured by microendoscopy. Muscle Nerve. 2013;48(2):286–92. 163. Cesari M, Fielding RA, Pahor M, et al. Biomarkers of sarcopenia in clinical trials-recommendations from the International Working Group on Sarcopenia. J Cachexia Sarcopenia Muscle. 2012;3(3):181–90. 164. Morley JE, Malmstrom TK. Frailty, sarcopenia, and hormones. Endocrinol Metab Clin N Am. 2013;42(2):391–405. 165. Sato K, Iemitsu M. Exercise and sex steroid hormones in skeletal muscle. J Steroid Biochem Mol Biol. 2015;145:200–5. 166. Hameed M, Harridge SD, Goldspink G. Sarcopenia and hypertrophy: a role for insulin-like growth factor-1 in aged muscle? Exerc Sport Sci Rev. 2002;30(1):15–9. 167. Nass R. Growth hormone axis and aging. Endocrinol Metab Clin N Am. 2013;42(2):187–99. 168. Michaud M, Balardy L, Moulis G, et al. Proinflammatory cytokines, aging, and age-related diseases. J Am Med Dir Assoc. 2013;14(12):877–82. 169. Nelson ME, Fiatarone MA, Layne JE, et al. Analysis of bodycomposition techniques and models for detecting change in soft tissue with strength training. Am J Clin Nutr. 1996;63(5):678–86. 170. Prockop DJ, Kivirikko KI, Tuderman L, et al. The biosynthesis of collagen and its disorders (second of two parts). N Engl J Med. 1979;301(2):77–85. 171. De la Haba G, Kamali HM, Tiede DM. Myogenesis of avian striated muscle in vitro: role of collagen in myofiber formation. Proc Natl Acad Sci. 1975;72(7):2729–32. 172. Bhasin S, He EJ, Kawakubo M, et al. N-terminal propeptide of type III procollagen as a biomarker of anabolic response to recombinant human GH and testosterone. J Clin Endocrinol Metab. 2009;94(11):4224–33. 173. Bolliger MF, Zurlinden A, Luscher D, et al. Specific proteolytic cleavage of agrin regulates maturation of the neuromuscular junction. J Cell Sci. 2010;123(Pt 22):3944–55.

123

M. S. Fragala et al. 174. Butikofer L, Zurlinden A, Bolliger MF, et al. Destabilization of the neuromuscular junction by proteolytic cleavage of agrin results in precocious sarcopenia. FASEB J. 2011;25(12): 4378–93. 175. Hettwer S, Dahinden P, Kucsera S, et al. Elevated levels of a C-terminal agrin fragment identifies a new subset of sarcopenia patients. Exp Gerontol. 2013;48(1):69–75. 176. Drey M, Sieber CC, Bauer JM, et al. C-terminal Agrin Fragment as a potential marker for sarcopenia caused by degeneration of the neuromuscular junction. Exp Gerontol. 2013;48(1):76–80. 177. Fragala MS, Jajtner AR, Beyer KS, et al. Biomarkers of muscle quality: N-terminal propeptide of type III procollagen and C-terminal agrin fragment responses to resistance exercise training in older adults. J Cachexia Sarcopenia Muscle. 2014;5(2):139–48. 178. Jones TE, Stephenson KW, King JG, et al. Sarcopenia– mechanisms and treatments. J Geriatr Phys Ther. 2009;32(2):83–9. 179. Voznesensky M, Walsh S, Dauser D, et al. The association between dehydroepiandosterone and frailty in older men and women. Age Ageing. 2009;38(4):401–6. 180. Iannuzzi-Sucich M, Prestwood KM, Kenny AM. Prevalence of sarcopenia and predictors of skeletal muscle mass in healthy, older men and women. J Gerontol A Biol Sci Med Sci. 2002;57(12):M772–7. 181. Perrini S, Laviola L, Natalicchio A, et al. Associated hormonal declines in aging: DHEAS. J Endocrinol Invest. 2005;28(3 Suppl):85–93. 182. Baker WL, Karan S, Kenny AM. Effect of dehydroepiandrosterone on muscle strength and physical function in older adults: a systematic review. J Am Geriatr Soc. 2011;59(6):997–1002. 183. Kenny AM, Dawson L, Kleppinger A, et al. Prevalence of sarcopenia and predictors of skeletal muscle mass in nonobese women who are long-term users of estrogen-replacement therapy. J Gerontol A Biol Sci Med Sci. 2003;58(5):M436–40. 184. Kenny AM, Kleppinger A, Wang Y, et al. Effects of ultra-lowdose estrogen therapy on muscle and physical function in older women. J Am Geriatr Soc. 2005;53(11):1973–7. 185. Taaffe DR, Newman AB, Haggerty CL, et al. Estrogen replacement, muscle composition, and physical function: the Health ABC Study. Med Sci Sports Exerc. 2005;37(10):1741–7. 186. Miljkovic I, Cauley JA, Dressen AS, et al. Bioactive androgens and glucuronidated androgen metabolites are associated with subcutaneous and ectopic skeletal muscle adiposity among older black men. Metabolism. 2011;60(8):1178–85. 187. Kenny AM, Kleppinger A, Annis K, et al. Effects of transdermal testosterone on bone and muscle in older men with low bioavailable testosterone levels, low bone mass, and physical frailty. J Am Geriatr Soc. 2010;58(6):1134–43. 188. Schroeder ET, Terk M, Sattler FR. Androgen therapy improves muscle mass and strength but not muscle quality: results from two studies. Am J Physiol Endocrinol Metab. 2003;285(1):E16–24. 189. Borst SE. Interventions for sarcopenia and muscle weakness in older people. Age Ageing. 2004;33(6):548–55. 190. Pollanen E, Sipila S, Alen M, et al. Differential influence of peripheral and systemic sex steroids on skeletal muscle quality in pre- and postmenopausal women. Aging Cell. 2011;10(4):650–60. 191. Lynch GS. Update on emerging drugs for sarcopenia—age-related muscle wasting. Expert Opin Emerg Drugs. 2008;13(4):655–73. 192. Studenski SA, Peters KW, Alley DE, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014;69(5):547–58.

123

193. Vellas B, Pahor M, Manini T, et al. Designing pharmaceutical trials for sarcopenia in frail older adults: EU/US Task Force recommendations. J Nutr Health Aging. 2013;17(7):612–8. 194. Brass EP, Sietsema KE. Considerations in the development of drugs to treat sarcopenia. J Am Geriatr Soc. 2011;59(3):530–5. 195. Sayer AA, Robinson SM, Patel HP, et al. New horizons in the pathogenesis, diagnosis and management of sarcopenia. Age Ageing. 2013;42(2):145–50. 196. Witham MD, Sumukadas D, McMurdo ME. ACE inhibitors for sarcopenia–as good as exercise training? Age Ageing. 2008;37(4):363–5. 197. Brault JJ, Jespersen JG, Goldberg AL. Peroxisome proliferatoractivated receptor gamma coactivator 1alpha or 1beta overexpression inhibits muscle protein degradation, induction of ubiquitin ligases, and disuse atrophy. J Biol Chem. 2010;285(25):19460–71. 198. Wissing ER, Millay DP, Vuagniaux G, et al. Debio-025 is more effective than prednisone in reducing muscular pathology in mdx mice. Neuromuscul Disord. 2010;20(11):753–60. 199. Cadilla R, Turnbull P. Selective androgen receptor modulators in drug discovery: medicinal chemistry and therapeutic potential. Curr Top Med Chem. 2006;6(3):245–70. 200. Bhasin S, Jasuja R. Selective androgen receptor modulators as function promoting therapies. Curr Opin Clin Nutr Metab Care. 2009;12(3):232–40. 201. Marzetti E, Calvani R, Bernabei R, et al. Apoptosis in skeletal myocytes: a potential target for interventions against sarcopenia and physical frailty—a mini-review. Gerontology. 2012;58(2):99–106. 202. Husom AD, Peters EA, Kolling EA, et al. Altered proteasome function and subunit composition in aged muscle. Arch Biochem Biophys. 2004;421(1):67–76. 203. Lee EJ, De Winter JM, Buck D, et al. Fast skeletal muscle troponin activation increases force of mouse fast skeletal muscle and ameliorates weakness due to nebulin-deficiency. PLoS One. 2013;8(2):e55861. 204. Gurtan AM, Sharp PA. The role of miRNAs in regulating gene expression networks. J Mol Biol. 2013;425(19):3582–600. 205. Mercken EM, Majounie E, Ding J, et al. Age-associated miRNA alterations in skeletal muscle from rhesus monkeys reversed by caloric restriction. Aging (Albany NY). 2013;5(9):692–703. 206. Berardi E, Annibali D, Cassano M, et al. Molecular and cellbased therapies for muscle degenerations: a road under construction. Front Physiol. 2014;5:119. 207. Valdez G, Heyer MP, Feng G, et al. The role of muscle microRNAs in repairing the neuromuscular junction. PLoS One. 2014;9(3):e93140. 208. Volpi E, Mittendorfer B, Rasmussen BB, et al. The response of muscle protein anabolism to combined hyperaminoacidemia and glucose-induced hyperinsulinemia is impaired in the elderly. J Clin Endocrinol Metab. 2000;85(12):4481–90. 209. Cuthbertson D, Smith K, Babraj J, et al. Anabolic signaling deficits underlie amino acid resistance of wasting, aging muscle. FASEB J. 2005;19(3):422–4. 210. Casperson SL, Sheffield-Moore M, Hewlings SJ, et al. Leucine supplementation chronically improves muscle protein synthesis in older adults consuming the RDA for protein. Clin Nutr. 2012;31(4):512–9. 211. Iglay HB, Apolzan JW, Gerrard DE, et al. Moderately increased protein intake predominately from egg sources does not influence whole body, regional, or muscle composition responses to resistance training in older people. J Nutr Health Aging. 2009;13(2):108–14. 212. Stout JR, Graves SB, Cramer JT, et al. Effects of creatine supplementation on the onset of neuromuscular fatigue threshold and muscle strength in elderly men and women (64–86 years). J Nutr Health Aging. 2007;11(6):459–64.

Muscle Quality in Aging 213. Gotshalk LA, Kraemer WJ, Mendonca MA, et al. Creatine supplementation improves muscular performance in older women. Eur J Appl Physiol. 2008;102(2):223–31. 214. McCormack WP, Stout JR, Emerson NS, et al. Oral nutritional supplement fortified with beta-alanine improves physical working capacity in older adults: a randomized, placebo-controlled study. Exp Gerontol. 2013;48(9):933–9. 215. Stout JR, Smith-Ryan AE, Fukuda DH, et al. Effect of calcium beta-hydroxy-beta-methylbutyrate (CaHMB) with and without resistance training in men and women 65?yrs: a randomized, double-blind pilot trial. Exp Gerontol. 2013;48(11):1303–10. 216. Brosnan JT, Brosnan ME. Creatine: endogenous metabolite, dietary, and therapeutic supplement. Annu Rev Nutr. 2007;27:241–61. 217. Harris RC, Tallon MJ, Dunnett M, et al. The absorption of orally supplied beta-alanine and its effect on muscle carnosine synthesis in human vastus lateralis. Amino Acids. 2006;30(3):279–89. 218. Wilkinson DJ, Hossain T, Hill DS, et al. Effects of leucine and its metabolite beta-hydroxy-beta-methylbutyrate on human skeletal muscle protein metabolism. J Physiol. 2013;591(Pt 11):2911–23. 219. Rousseau JH, Kleppinger A, Kenny AM. Self-reported dietary intake of omega-3 fatty acids and association with bone and lower extremity function. J Am Geriatr Soc. 2009;57(10):1781–8. 220. Hakkinen K, Kraemer WJ, Pakarinen A, et al. Effects of heavy resistance/power training on maximal strength, muscle morphology, and hormonal response patterns in 60–75-year-old men and women. Can J Appl Physiol. 2002;27(3):213–31. 221. Sallinen J, Ojanen T, Karavirta L, et al. Muscle mass and strength, body composition and dietary intake in master strength athletes vs untrained men of different ages. J Sports Med Phys Fitness. 2008;48(2):190–6. 222. Aagaard P, Suetta C, Caserotti P, et al. Role of the nervous system in sarcopenia and muscle atrophy with aging: strength training as a countermeasure. Scand J Med Sci Sports. 2010;20(1):49–64. 223. de Vos NJ, Singh NA, Ross DA, et al. Optimal load for increasing muscle power during explosive resistance training in older adults. J Gerontol A Biol Sci Med Sci. 2005;60(5):638–47. 224. Fielding RA. The role of progressive resistance training and nutrition in the preservation of lean body mass in the elderly. J Am Coll Nutr. 1995;14(6):587–94. 225. Sullivan DH, Roberson PK, Johnson LE, et al. Effects of muscle strength training and testosterone in frail elderly males. Med Sci Sports Exerc. 2005;37(10):1664–72. 226. American College of Sports M, Chodzko-Zajko WJ, Proctor DN, et al. American College of Sports Medicine position stand. Exercise and physical activity for older adults. Med Sci Sports Exerc. 2009;41(7):1510–30. 227. Sillanpaa E, Hakkinen A, Nyman K, et al. Body composition and fitness during strength and/or endurance training in older men. Med Sci Sports Exerc. 2008;40(5):950–8. 228. Liu CJ, Latham NK. Progressive resistance strength training for improving physical function in older adults. Cochrane Database Syst Rev 2009(3):CD002759. 229. Sharman MJ, Newton RU, Triplett-McBride T, et al. Changes in myosin heavy chain composition with heavy resistance training in 60–75-year-old men and women. Eur J Appl Physiol. 2001;84(1–2):127–32. 230. Izquierdo M, Hakkinen K, Ibanez J, et al. Effects of strength training on muscle power and serum hormones in middle-aged and older men. J Appl Physiol (1985). 2001;90(4):1497–507. 231. Fiatarone MA, Marks EC, Ryan ND, et al. High-intensity strength training in nonagenarians. Effects on skeletal muscle. JAMA. 1990;263(22):3029–34.

232. Morganti CM, Nelson ME, Fiatarone MA, et al. Strength improvements with 1 yr of progressive resistance training in older women. Med Sci Sports Exerc. 1995;27(6):906–12. 233. Hakkinen K, Kallinen M, Izquierdo M, et al. Changes in agonistantagonist EMG, muscle CSA, and force during strength training in middle-aged and older people. J Appl Physiol. 1998;84(4):1341–9. 234. De Luca CJ, Kline JC, Contessa P. Transposed firing activation of motor units. J Neurophysiol. 2014;112(4):962–70. 235. Hughes VA, Roubenoff R, Wood M, et al. Anthropometric assessment of 10-y changes in body composition in the elderly. Am J Clin Nutr. 2004;80(2):475–82. 236. Hakkinen K, Kraemer WJ, Newton RU, et al. Changes in electromyographic activity, muscle fibre and force production characteristics during heavy resistance/power strength training in middle-aged and older men and women. Acta Physiol Scand. 2001;171(1):51–62. 237. Frontera WR, Meredith CN, O’Reilly KP, et al. Strength conditioning in older men: skeletal muscle hypertrophy and improved function. J Appl Physiol (1985). 1988;64(3):1038–44. 238. Kraemer WJ, Hakkinen K, Newton RU, et al. Effects of heavyresistance training on hormonal response patterns in younger vs. older men. J Appl Physiol. 1999;87(3):982–92. 239. Kraemer WJ, Hakkinen K, Newton RU, et al. Effects of heavyresistance training on hormonal response patterns in younger vs. older men. J Appl Physiol (1985). 1999;87(3):982–92. 240. Urso ML, Fiatarone Singh MA, Ding W, et al. Exercise training effects on skeletal muscle plasticity and IGF-1 receptors in frail elders. Age (Dordr). 2005;27(2):117–25. 241. Bruusgaard JC, Liestol K, Gundersen K. Distribution of myonuclei and microtubules in live muscle fibers of young, middleaged, and old mice. J Appl Physiol. 2006;100(6):2024–30. 242. Malatesta M, Perdoni F, Muller S, et al. Nuclei of aged myofibres undergo structural and functional changes suggesting impairment in RNA processing. Eur J Histochem. 2009;53(2):97–106. 243. Edgerton VR, Roy RR. Regulation of skeletal muscle fiber size, shape and function. J Biomech. 1991;24(Suppl 1):123–33. 244. Schultz E. Satellite cell behavior during skeletal muscle growth and regeneration. Med Sci Sports Exerc. 1989;21(5 Suppl):S181–6. 245. Qaisar R, Renaud G, Morine K, et al. Is functional hypertrophy and specific force coupled with the addition of myonuclei at the single muscle fiber level? FASEB J. 2012;26(3):1077–85. 246. Hall ZW, Ralston E. Nuclear domains in muscle cells. Cell. 1989;59(5):771–2. 247. Kadi F, Schjerling P, Andersen LL, et al. The effects of heavy resistance training and detraining on satellite cells in human skeletal muscles. J Physiol. 2004;558(Pt 3):1005–12. 248. Ralston E, Lu Z, Biscocho N, et al. Blood vessels and desmin control the positioning of nuclei in skeletal muscle fibers. J Cell Physiol. 2006;209(3):874–82. 249. Atherton GW, James NT. Stereological analysis of the number of nuclei in skeletal muscle fibres. Acta Anat (Basel). 1980;107(2):236–40. 250. Burleigh IG. Observations on the number of nuclei within the fibres of some red and white muscles. J Cell Sci. 1977;23:269–84. 251. Tseng BS, Kasper CE, Edgerton VR. Cytoplasm-to-myonucleus ratios and succinate dehydrogenase activities in adult rat slow and fast muscle fibers. Cell Tissue Res. 1994;275(1):39–49. 252. Handschin C, Spiegelman BM. The role of exercise and PGC1alpha in inflammation and chronic disease. Nature. 2008;454(7203):463–9. 253. Tarnopolsky MA, Rennie CD, Robertshaw HA, et al. Influence of endurance exercise training and sex on intramyocellular lipid

123

M. S. Fragala et al.

254.

255.

256.

257.

258.

259.

and mitochondrial ultrastructure, substrate use, and mitochondrial enzyme activity. Am J Physiol Regul Integr Comp Physiol. 2007;292(3):R1271–8. Parise G, Brose AN, Tarnopolsky MA. Resistance exercise training decreases oxidative damage to DNA and increases cytochrome oxidase activity in older adults. Exp Gerontol. 2005;40(3):173–80. Melov S, Tarnopolsky MA, Beckman K, et al. Resistance exercise reverses aging in human skeletal muscle. PLoS One. 2007;2(5):e465. Hakkinen K, Newton RU, Gordon SE, et al. Changes in muscle morphology, electromyographic activity, and force production characteristics during progressive strength training in young and older men. J Gerontol A Biol Sci Med Sci. 1998;53(6):B415–23. Visser M, Simonsick EM, Colbert LH, et al. Type and intensity of activity and risk of mobility limitation: the mediating role of muscle parameters. J Am Geriatr Soc. 2005;53(5):762–70. Ivey FM, Tracy BL, Lemmer JT, et al. Effects of strength training and detraining on muscle quality: age and gender comparisons. J Gerontol A Biol Sci Med Sci. 2000;55(3):B152–7 (discussion B158–9). Goodpaster BH, Chomentowski P, Ward BK, et al. Effects of physical activity on strength and skeletal muscle fat infiltration in older adults: a randomized controlled trial. J Appl Physiol (1985). 2008;105(5):1498–503.

123

260. Evans WJ. Effects of exercise on senescent muscle. Clin Orthop Relat Res. 2002;403 Suppl:S211–20. 261. Singh MA, Ding W, Manfredi TJ, et al. Insulin-like growth factor I in skeletal muscle after weight-lifting exercise in frail elders. Am J Physiol. 1999;277(1 Pt 1):E135–43. 262. Manfredi TG, Fielding RA, O’Reilly KP, et al. Plasma creatine kinase activity and exercise-induced muscle damage in older men. Med Sci Sports Exerc. 1991;23(9):1028–34. 263. Villareal DT, Steger-May K, Schechtman KB, et al. Effects of exercise training on bone mineral density in frail older women and men: a randomised controlled trial. Age Ageing. 2004;33(3):309–12. 264. Prats C, Donsmark M, Qvortrup K, et al. Decrease in intramuscular lipid droplets and translocation of HSL in response to muscle contraction and epinephrine. J Lipid Res. 2006;47(11):2392–9. 265. Holm C, Kirchgessner TG, Svenson KL, et al. Hormone-sensitive lipase: sequence, expression, and chromosomal localization to 19 cent-q13.3. Science. 1988;241(4872):1503–6. 266. Goldspink G. Cellular and molecular aspects of muscle growth, adaptation and ageing. Gerodontology. 1998;15(1):35–43. 267. Visser M. Towards a definition of sarcopenia–results from epidemiologic studies. J Nutr Health Aging. 2009;13(8):713–6.