Metabolic Networks Influencing Skeletal Muscle Fiber Composition

Julien, Isabelle Bourdeau; Sephton, Chantelle F.; Dutchak, Paul A.

doi:10.3389/fcell.2018.00125

Cited by 53 publications

(47 citation statements)

References 62 publications

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“…As reflected by the low ICDH and high LDH activity, SM and LD muscles investigated here are light muscles in which energy is mainly produced via glycolysis 67 . Fast muscle fibers show low levels of oxidative enzymes and mainly use glycolysis for energy production 66,68,69 . Pig light muscles are mainly composed of glycolytic IIB myofibers (90%), and have a lower proportion of mixed IIA www.nature.com/scientificreports www.nature.com/scientificreports/ Properties of muscle fibers not only depend on fiber type but show a high degree of metabolic plasticity 68,69 .…”

Section: Discussionmentioning

confidence: 99%

“…Fast muscle fibers show low levels of oxidative enzymes and mainly use glycolysis for energy production 66,68,69 . Pig light muscles are mainly composed of glycolytic IIB myofibers (90%), and have a lower proportion of mixed IIA www.nature.com/scientificreports www.nature.com/scientificreports/ Properties of muscle fibers not only depend on fiber type but show a high degree of metabolic plasticity 68,69 . ICDH enzymes catalyze the oxidative decarboxylation of isocitrate to α-ketoglutarate, during which NAD(P)H is produced 71 .…”

Section: Discussionmentioning

confidence: 99%

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Low birth weight influences the postnatal abundance and characteristics of satellite cell subpopulations in pigs

Stange

Miersch

Sponder

et al. 2020

Sci Rep

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Low birth weight (LBW) can cause lifelong impairments in muscle development and growth. Satellite cells (SC) and their progeny are crucial contributors to myogenic processes. This study provides new data on LBW in piglets combining insights on energy metabolism, muscle capillarization and differences in SC presence and function. To this aim, muscle tissues as well as isolated myogenic cells of 4-day-old German Landrace piglets were analyzed. For the first time two heterogeneous SC subpopulations, which contribute differently to muscle development, were isolated from LBW pigs by Percoll density gradient centrifugation. The muscles of LBW piglets showed a reduced DNA, RNA, and protein content as well as lower activity of the muscle specific enzymes CK, ICDH, and LDH compared to their normal birth weight siblings. We assume that deficits in energy metabolism and capillarization are associated with reduced bioavailability of SC, possibly leading to early exhaustion of the SC reserve cell pool and the cells' premature differentiation. The pig remains one of the most important farm animals worldwide and nowadays also represents a highly appreciated model system for scientific studies. In the past decades pigs were mainly selected for economic traits like reproductive fitness, growth performance, or litter size. An analysis of wild boar litters in Europe showed a mean litter size between 4.75-6.28 piglets 1. In contrast, in domestic pigs a mean litter size of 10.9 piglets in 1992 was further increased by 12% to 12.2 piglets already in 2001 2. Varona and colleagues even reported a mean litter size of 14.23 piglets in Landrace pigs 3. In polytocous species uterus capacity is a limiting factor, becoming important from day 25 of gestation on 4,5 , and more than 14 embryos can be considered as intrauterine crowding 5 possibly leading to intrauterine competition and retardation of prenatal growth 5,6. Bigger litter sizes can lead to intrauterine growth retardation (IUGR) due to insufficient development of the placenta in relation to the number of embryos, which are not sufficiently supplied with oxygen and nutrients 5. Consequently, birth weight variation (and with this also weaning weight variability) increases in large litters; and with increasing litter birth weight more low birth weight (LBW) piglets are born 2,7,8. Several important factors like birth weight, weaning weight, and gender contribute to postnatal growth performance of pigs 9 , whereas the birth weight is the earliest and most easily accessible one. Up to 15-20% of pigs exhibit a low birth weight 10 associated with developmental disadvantages compared to their normal birth weight (NBW) litter mates. Low birth weight, for instance caused by IUGR, is also relevant for other species like sheep or cattle 10,11 and for humans, where for example in the U.S. approximately 5-15% of all children have to cope with IUGR 11-13. Some LBW pigs show compensatory growth but exhibit a higher risk for infection diseases and in general their survival rate is still reduced 9,14,...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Low birth weight influences the postnatal abundance and characteristics of satellite cell subpopulations in pigs

Stange

Miersch

Sponder

et al. 2020

Sci Rep

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“…This last type is further divided into type II A and type II X [58,59]. Red muscles mainly consist of slow types II A and I fibers and rely mostly on aerobic oxidative metabolism, while white muscles are made up of fast type II B fibers and adopt glycolysis [60,61]. Interestingly, in anaerobic glycolytic fibers, mitochondria are associated with the sarcomere I-band, whereas in oxidative fibers, mitochondria are mainly accumulated in I-band and A-band [62].…”

Section: Mitochondria Localization In Skeletal Myofibersmentioning

confidence: 99%

Role of Age-Related Mitochondrial Dysfunction in Sarcopenia

Ferri

Marzetti

Calvani

et al. 2020

IJMS

107

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Skeletal muscle aging is associated with a significant loss of skeletal muscle strength and power (i.e., dynapenia), muscle mass and quality of life, a phenomenon known as sarcopenia. This condition affects nearly one-third of the older population and is one of the main factors leading to negative health outcomes in geriatric patients. Notwithstanding the exact mechanisms responsible for sarcopenia are not fully understood, mitochondria have emerged as one of the central regulators of sarcopenia. In fact, there is a wide consensus on the assumption that the loss of mitochondrial integrity in myocytes is the main factor leading to muscle degeneration. Mitochondria are also key players in senescence. It has been largely proven that the modulation of mitochondrial functions can induce the death of senescent cells and that removal of senescent cells improves musculoskeletal health, quality, and function. In this review, the crosstalk among mitochondria, cellular senescence, and sarcopenia will be discussed with the aim to elucidate the role that the musculoskeletal cellular senescence may play in the onset of sarcopenia through the mediation of mitochondria.

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“…The type of skeletal muscle of pig and cattle is associated with meat quality (WHC, meat color, and tenderness) [84,85] and sensory traits [86,87]. This is due to the differences in physiological characteristics [88,89] and compositions of proteins [90,91] and metabolites [14,54,92,93] between different types of muscles that have distinct compositions of fast and slow type muscle fibers. Due to the different physiological properties of the muscle fibers, muscles with different fast/slow fiber type composition undergo different postmortem aging processes, as shown in protein [94,95] and metabolite [14,16] degradation, which could be the cause of the intermuscular difference in meat quality.…”

Section: Muscle Typementioning

confidence: 99%

MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals

et al. 2020

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In the past decades, metabolomics has been used to comprehensively understand a variety of food materials for improvement and assessment of food quality. Farm animal skeletal muscles and meat are one of the major targets of metabolomics for the characterization of meat and the exploration of biomarkers in the production system. For identification of potential biomarkers to control meat quality, studies of animal muscles and meat with metabolomics (MEATabolomics) has been conducted in combination with analyses of meat quality traits, focusing on specific factors associated with animal genetic background and sensory scores, or conditions in feeding system and treatments of meat in the processes such as postmortem storage, processing, and hygiene control. Currently, most of MEATabolomics approaches combine separation techniques (gas or liquid chromatography, and capillary electrophoresis)–mass spectrometry (MS) or nuclear magnetic resonance (NMR) approaches with the downstream multivariate analyses, depending on the polarity and/or hydrophobicity of the targeted metabolites. Studies employing these approaches provide useful information to monitor meat quality traits efficiently and to understand the genetic background and production system of animals behind the meat quality. MEATabolomics is expected to improve the knowledge and methodologies in animal breeding and feeding, meat storage and processing, and prediction of meat quality.

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Metabolic Networks Influencing Skeletal Muscle Fiber Composition

Cited by 53 publications

References 62 publications

Low birth weight influences the postnatal abundance and characteristics of satellite cell subpopulations in pigs

Low birth weight influences the postnatal abundance and characteristics of satellite cell subpopulations in pigs

Role of Age-Related Mitochondrial Dysfunction in Sarcopenia

MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals

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