Literature DB >> 24396659

Sarcopenia and sarcopenic obesity.

Kyung Mook Choi1.   

Abstract

The aging process is associated with progressive loss of muscle mass and strength, as well as decline in physical functioning. Although consensus diagnosis has not been reached, sarcopenia is increasingly defined by both loss of muscle mass and loss of muscle function or strength. The cause of sarcopenia is suggested as multifactorial, including hormonal changes, inflammatory pathway activation, fatty infiltration, poor nutrition, and decreased physical activity. Sarcopenia is often associated with visceral obesity. Sarcopenic obesity in the elderly impacts metabolic complications and represents a major public health challenge in a rapidly aging society. Further research about sarcopenia and sarcopenic obesity may be needed to confront the influence of aging society in Korea.

Entities:  

Keywords:  Muscle; Obesity; Sarcopenia

Year:  2013        PMID: 24396659      PMCID: PMC3811714          DOI: 10.3803/EnM.2013.28.2.86

Source DB:  PubMed          Journal:  Endocrinol Metab (Seoul)        ISSN: 2093-596X


INTRODUCTION

Aging is associated with a progressive loss of muscle mass, quality and strength, which results in a condition known as sarcopenia. In 1989, Rosenberg and Roubenoff [1] proposed the term sarcopenia, originating from the Greek words sarx (flesh) and penia (loss). Sarcopenia has been defined as "the age-associated loss of skeletal muscle mass, which results in decreased strength and aerobic capacity and thus functional capacity" [2]. Lean muscle mass contributes up to 50% of total body weight in young adults but declines with age to 25% at 80 years old [3]. After 50 years of age, approximately 1% to 2% of muscle mass is expected to be lost per year, and muscle strength decreases at an even greater rate [4]. Sarcopenia is characterized by atrophy of type II muscle fiber and reduction in muscle fiber satellite cells with aging [5]. Interestingly, young men have twice as much muscle mass as fat mass, whereas this ratio is almost reversed in older men [6]. Aging is also related to increased visceral fat mass, which is an important factor in the development of metabolic syndrome, type 2 diabetes and cardiovascular disease. Sarcopenia and visceral obesity may have a synergistic impact on both chronic metabolic disorders and physical disability [7].

DEFINITION OF SARCOPENIA

Several different definitions of sarcopenia and sarcopenic obesity have been proposed in previous studies. Baumgartner et al. [8] defined sarcopenia as a two or greater standard deviation (SD) reduction in appendicular skeletal muscle (ASM) divided by height squared (ASM/height2) below the normal mean for a young reference group measured using dual X-ray absorptiometry [8]. Janssen et al. [9] proposed a definition of sarcopenia as skeletal muscle mass index (skeletal muscle mass [kg]/weight [kg]×100) one or two SD below the mean for a younger reference group. Newman et al. [10] introduced an alternative definition of sarcopenia, using appendicular lean mass adjusted for height and body fat mass (residuals). Recently, the European Working Group on Sarcopenia in Older People developed a practical clinical definition and recommends using the presence of both low muscle mass and low muscle function (strength or performance) for the diagnosis of sarcopenia [11]. Table 1 summarizes the measurement of muscle mass, strength, and function. The International Working Group on Sarcopenia proposed that a diagnosis of sarcopenia is consistent with a gait speed of less than 1 m/sec and an objectively measured low muscle mass (e.g., ASM mass relative to height2 that is ≤7.23 kg/m2 in men and ≤5.67 kg/m2 in women) [2].
Table 1

Measurements of Muscle Mass, Strength, and Function

aRecommended for clinical practice.

MECHANISMS OF SARCOPENIA

Changes in hormone levels

Aging is associated with changes in hormone levels, such as those of growth hormone (GH), insulin-like growth factor (IGF)-I, insulin, androgens, estrogens, and corticosteroids, all of which affect the anabolic and catabolic conditions for muscle protein metabolism [12]. Elderly people show a decrease in GH and IGF-I levels that is paralleled by changes in body composition [13]. Reduced testosterone and estrogen levels might cause decreased muscle mass as well as diminishing bone strength. Increased insulin resistance with aging is associated with augmentation of intramyocellular fat mass and loss of muscle function [12].

Inflammation

Cytokines play a pivotal role not only in muscle homeostasis, but also in the pathogenesis of clinical conditions characterized by alterations in protein metabolism [14]. An increase in proinflammatory cytokines, such as tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6, results in muscle breakdown, which is caused by decreasing muscle protein synthesis and increasing myofibrillar protein degradation [15]. TNF-α induces nuclear factor-κB, which leads to increasing proteolysis by activating the ubiquitin-dependent proteolysis system. IL-6 is considered to be a catabolic cytokine due to its participation in the regulation of muscle protein turnover [14].

Other risk factors

Several previous studies have demonstrated that serum 25-hydroxyvitamin D (25(OH)D) levels are inversely correlated with various parameters of obesity [16]. 25(OH)D levels decrease longitudinally with aging [17]. Recently, we found that insulin resistance and 25(OH)D levels were independently associated with sarcopenic obesity in men, while insulin resistance and high sensitivity C-reactive protein were significant factors predicting sarcopenic obesity in women [18]. On the other hand, oxidative metabolism generates reactive oxygen species, which damage cell components, particularly mitochondria. Alterations to mtDNA increase with age in skeletal muscle and are affected by sarcopenia [19]. Another important factor in the regulation of skeletal muscle mass is myostatin, which suppresses differentiation and proliferation of myocytes [20]. Myostatin suppression may have therapeutic potential for improvement of sarcopenia [21].

INFLUENCE OF SARCOPENIA AND SARCOPENIC OBESITY

Previous studies have reported that sarcopenia is associated with risk of adverse outcomes, such as physical disability, poor quality of life, and death. In an early study by Baumgartner et al. [8], sarcopenia was significantly associated with a 3-fold to 4-fold increased risk of physical disability in both men and women [8]. They also reported a relationship between sarcopenia and falls in the previous year. After adjustment for other confounding factors, the odds ratio for falls was statistically significant in men at 2.58 (95% confidence interval [CI], 0.60 to 2.67) but not in women at 1.28 (95% CI, 0.60 to 2.67) [8]. In the Korean Sarcopenic Obesity Study (KSOS) of 810 subjects (414 patients with type 2 diabetes and 396 control subjects), we found that type 2 diabetes was independently associated with increased risk of sarcopenia [22]. Furthermore, we observed that sarcopenic obesity was associated with the risk of metabolic syndrome [23]. Park et al. [24] showed that type 2 diabetes is associated with excessive loss of skeletal muscle, and that older women with type 2 diabetes in the Health ABC cohort are at especially high risk for loss of skeletal muscle mass [24]. Recently, Lim et al. [25] found that sarcopenic obesity, defined by ASM/weight, was more closely associated with metabolic syndrome than either sarcopenia or obesity alone. In a study including 1,396 men and women aged 70 years and older, low arm muscle area was associated with an elevated mortality rate during an 8-year follow-up period (hazard ratio, 1.95; 95% CI, 1.25 to 2.00) [26]. Heitmann et al. [27] reported that lower levels of fat-free mass were associated with an increased risk of mortality among 787 men aged 60 years and older who were followed for 22 years. Recent studies suggest that subjects with less common body-size phenotypes, such as metabolically abnormal but normal weight or metabolically healthy obese, seem to be more prone or more resistant, respectively, to the development of obesity-associated metabolic disorders. We observed that low muscle mass might be a factor associated with different metabolic consequences according to body-size phenotype in the KSOS cohort [28].

CONCLUSIONS

Both sarcopenia and obesity are becoming major threats to aging society. The concept of sarcopenic obesity may help to elucidate the interrelationship between physical disability, metabolic disorders and mortality in the elderly population. More research about sarcopenia and sarcopenic obesity is needed to improve morbidity and mortality as consequences of rapidly aging society.
  28 in total

1.  Mortality associated with body fat, fat-free mass and body mass index among 60-year-old swedish men-a 22-year follow-up. The study of men born in 1913.

Authors:  B L Heitmann; H Erikson; B M Ellsinger; K L Mikkelsen; B Larsson
Journal:  Int J Obes Relat Metab Disord       Date:  2000-01

2.  Satellite cell content is specifically reduced in type II skeletal muscle fibers in the elderly.

Authors:  Lex B Verdijk; René Koopman; Gert Schaart; Kenneth Meijer; Hans H C M Savelberg; Luc J C van Loon
Journal:  Am J Physiol Endocrinol Metab       Date:  2006-08-22       Impact factor: 4.310

3.  Prevalence of sarcopenia and sarcopenic obesity in Korean adults: the Korean sarcopenic obesity study.

Authors:  T N Kim; S J Yang; H J Yoo; K I Lim; H J Kang; W Song; J A Seo; S G Kim; N H Kim; S H Baik; D S Choi; K M Choi
Journal:  Int J Obes (Lond)       Date:  2009-06-30       Impact factor: 5.095

Review 4.  The impact of vitamin D deficiency on diabetes and cardiovascular risk.

Authors:  Merav Baz-Hecht; Allison B Goldfine
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2010-04       Impact factor: 3.243

5.  Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability.

Authors:  Ian Janssen; Steven B Heymsfield; Robert Ross
Journal:  J Am Geriatr Soc       Date:  2002-05       Impact factor: 5.562

6.  The influence of age on the 24-hour integrated concentration of growth hormone in normal individuals.

Authors:  Z Zadik; S A Chalew; R J McCarter; M Meistas; A A Kowarski
Journal:  J Clin Endocrinol Metab       Date:  1985-03       Impact factor: 5.958

Review 7.  Sarcopenic obesity: definition, cause and consequences.

Authors:  Sari Stenholm; Tamara B Harris; Taina Rantanen; Marjolein Visser; Stephen B Kritchevsky; Luigi Ferrucci
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2008-11       Impact factor: 4.294

8.  Prevalence and determinant factors of sarcopenia in patients with type 2 diabetes: the Korean Sarcopenic Obesity Study (KSOS).

Authors:  Tae Nyun Kim; Man Sik Park; Sae Jeong Yang; Hye Jin Yoo; Hyun Joo Kang; Wook Song; Ji A Seo; Sin Gon Kim; Nan Hee Kim; Sei Hyun Baik; Dong Seop Choi; Kyung Mook Choi
Journal:  Diabetes Care       Date:  2010-04-22       Impact factor: 19.112

9.  Relationships between sarcopenic obesity and insulin resistance, inflammation, and vitamin D status: the Korean Sarcopenic Obesity Study.

Authors:  Tae Nyun Kim; Man Sik Park; Kang Il Lim; Hae Yoon Choi; Sae Jeong Yang; Hye Jin Yoo; Hyun Joo Kang; Wook Song; Hyuk Choi; Sei Hyun Baik; Dong Seop Choi; Kyung Mook Choi
Journal:  Clin Endocrinol (Oxf)       Date:  2013-04       Impact factor: 3.478

10.  Myostatin negatively regulates satellite cell activation and self-renewal.

Authors:  Seumas McCroskery; Mark Thomas; Linda Maxwell; Mridula Sharma; Ravi Kambadur
Journal:  J Cell Biol       Date:  2003-09-08       Impact factor: 10.539

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Authors:  Jessica Lange; Alfred Königsrainer
Journal:  Visc Med       Date:  2019-09-17

2.  Bariatric Surgery Outcomes in Sarcopenic Obesity.

Authors:  Diego Mastino; Maud Robert; Cecile Betry; Martine Laville; Christian Gouillat; Emmanuel Disse
Journal:  Obes Surg       Date:  2016-10       Impact factor: 4.129

3.  Effects of combination of change in visceral fat and thigh muscle mass on the development of type 2 diabetes.

Authors:  Seung Jin Han; Soo-Kyung Kim; Wilfred Y Fujimoto; Steven E Kahn; Donna L Leonetti; Edward J Boyko
Journal:  Diabetes Res Clin Pract       Date:  2017-10-12       Impact factor: 5.602

4.  Association between body shape index and risk of mortality in the United States.

Authors:  Heysoo Lee; Hye Soo Chung; Yoon Jung Kim; Min Kyu Choi; Yong Kyun Roh; Wankyo Chung; Jae Myung Yu; Chang-Myung Oh; Shinje Moon
Journal:  Sci Rep       Date:  2022-07-04       Impact factor: 4.996

5.  An overview of the identification and management of the metabolic syndrome in chiropractic practice.

Authors:  David R Seaman; Adam D Palombo
Journal:  J Chiropr Med       Date:  2014-09

6.  Sarcopenia as a determinant of blood pressure in older Koreans: findings from the Korea National Health and Nutrition Examination Surveys (KNHANES) 2008-2010.

Authors:  Kyungdo Han; Yu-Mi Park; Hyuk-Sang Kwon; Seung-Hyun Ko; Seung-Hwan Lee; Hyeon Woo Yim; Won-Chul Lee; Yong Gyu Park; Mee Kyoung Kim; Yong-Moon Park
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

7.  Variation in serum creatinine level is correlated to risk of type 2 diabetes.

Authors:  Jun Sung Moon; Ji Eun Lee; Ji Sung Yoon
Journal:  Endocrinol Metab (Seoul)       Date:  2013-09-13

Review 8.  Sarcopenia and neurosurgery.

Authors:  Seung Won Park
Journal:  J Korean Neurosurg Soc       Date:  2014-08-31

9.  Newly Developed Sarcopenia as a Prognostic Factor for Survival in Patients who Underwent Liver Transplantation.

Authors:  Ja Young Jeon; Hee-Jung Wang; So Young Ock; Weiguang Xu; Jung-Dong Lee; Jei Hee Lee; Hae Jin Kim; Dae Jung Kim; Kwan Woo Lee; Seung Jin Han
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

10.  Subclinical vascular inflammation in subjects with normal weight obesity and its association with body fat: an 18 F-FDG-PET/CT study.

Authors:  Shinae Kang; Chanhee Kyung; Jong Suk Park; Sohee Kim; Seung-Pyo Lee; Min Kyung Kim; Hye Kyung Kim; Kyung Rae Kim; Tae Joo Jeon; Chul Woo Ahn
Journal:  Cardiovasc Diabetol       Date:  2014-04-04       Impact factor: 9.951

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