Gymnastik- och idrottshögskolan, GIH

Altered ceramide accumulation contributes to skeletal muscle insulin resistance, but mechanisms underlying fibre-type-specific susceptibility remain unclear. We hypothesized that fibre-type-specific ceramide metabolism governs vulnerability to lipid-induced insulin resistance. Lipidomics and quantification of ceramide-pathway enzymes were performed in mouse skeletal muscles with distinct fibre-type composition (oxidative, mixed and glycolytic) from control-diet (n = 12) and high-fat-diet (HFD; n = 12) mice. In humans, lipidomics and enzyme profiling were done in vastus lateralis biopsies from 36 adults stratified into oxidative or glycolytic phenotypes; insulin sensitivity was determined by glucose tolerance testing. siRNA-mediated silencing of SGMS1 and SGMS2 followed by lipidomics probed sphingomyelin-ceramide cycling in human myoblasts. In mouse muscle, ceramide composition rather than total content, differed by fibre type: oxidative muscle was enriched in very-long-chain ceramides, whereas glycolytic and mixed muscles contained higher C18-ceramides, paralleled by fibre-type-specific expression of enzymes involved in de novo synthesis and sphingomyelin-ceramide cycling. HFD induced ceramide remodelling, with C18-ceramides accumulating in oxidative and mixed muscles and very-long-chain species decreasing in glycolytic muscle; among all assessed enzymes, only SGMS2 was significantly downregulated in oxidative muscle. In humans, an oxidative phenotype associated with higher very-long-chain ceramides and insulin sensitivity, whereas a glycolytic phenotype displayed higher C16-18 ceramides, higher SGMS1 and SMPD2 expression, and lower insulin sensitivity. Elastic net regression identified C16-18 ceramides and galactosylceramides as negative predictors of insulin sensitivity. SGMS2 silencing caused broader ceramide accumulation than SGMS1 silencing, supporting a central role for SGMS2-mediated sphingomyelin-ceramide cycling in limiting ceramide burden.

Age-related loss of muscle mass and function is underpinned by changes at the myocellular level. However, our understanding of the aged muscle phenotype might be confounded by factors secondary to ageing per se, such as inactivity and adiposity. Here, using healthy, lean, recreationally active, older men, we investigated the impact of ageing on myocellular properties in skeletal muscle. Muscle biopsies were obtained from young men (22 ± 3 years, n = 10) and older men (69 ± 3 years, n = 11) matched for health status, activity level and body mass index. Immunofluorescence was used to assess myofibre composition, morphology (size and shape), capillarization, the content of satellite cells and myonuclei, the spatial relationship between satellite cells and capillaries, denervation and myofibre grouping. Compared with young muscle, aged muscle contained 53% more type I myofibres, in addition to smaller (-32%) and misshapen (3%) type II myofibres (P < 0.05). Aged muscle manifested fewer capillaries (-29%) and satellite cells (-38%) surrounding type II myofibres (P < 0.05); however, the spatial relationship between these two remained intact. The proportion of denervated myofibres was ∼2.6-fold higher in old than young muscle (P < 0.05). Aged muscle had more grouped type I myofibres (∼18-fold), primarily driven by increased size of existing groups rather than increased group frequency (P < 0.05). Aged muscle displayed selective deterioration of type II myofibres alongside increased denervation and myofibre grouping. These data are key to understanding the cellular basis of age-related muscle decline and reveal a pressing need to fine-tune strategies to preserve type II myofibres and innervation status in ageing populations.

Background

Sarcopenia is thought to be underlined by age-associated anabolic resistance and dysregulation of intracellular signalling pathways. However, it is unclear whether these phenomena are driven by ageing per se or other confounding factors.

Methods

Lean and healthy young (n = 10, 22 ± 3 years, BMI; 23.4 ± 0.8 kg/m2) and old men (n = 10, 70 ± 3 years, BMI; 22.7 ± 1.3 kg/m2) performed unilateral resistance exercise followed by intake of essential amino acids (EAA). Muscle biopsies were collected from the rested and the exercised leg before, immediately after and 60 and 180 min after EAA intake. Muscle samples were analysed for amino acid concentrations, muscle protein synthesis (MPS) and associated anabolic signalling.

Results

Following exercise, peak plasma levels of EAA and leucine were similar between groups, but the area under the curve was ~11% and ~28% lower in Young (p < 0.01). Absolute levels of muscle EAA and leucine peaked 60 min after exercise, with ~15 and ~21% higher concentrations in the exercising leg (p < 0.01) but with no difference between groups. MPS increased in both the resting (~0.035%·h−1 to 0.056%·h−1, p < 0.05) and exercising leg (~0.035%·h−1 to 0.083%·h−1, p < 0.05) with no difference between groups. Phosphorylation of S6K1Thr389 increased to a similar extent in the exercising leg in both groups but was 2.8-fold higher in the resting leg of Old at the 60 min timepoint (p < 0.001). Phosphorylation of 4E-BP1Ser65 increased following EAA intake and exercise, but differences between legs were statistically different only at 180 min (p < 0.001). However, phosphorylation of this site was on average 78% greater across all timepoints in Old (p < 0.01). Phosphorylation of eEF2Thr56 was reduced (~66% and 39%) in the exercising leg at both timepoints after EAA intake and exercise, with no group differences (p < 0.05). However, phosphorylation at this site was reduced by ~27% also in the resting leg at 60 min, an effect that was only seen in Old (p < 0.01). Total levels of Rheb (~45%), LAT1 (~31%) and Rag B (~31%) were higher in Old (p < 0.001).

Conclusion

Lean and healthy old men do not manifest AR as evidenced by potent increases in MPS and mTORC1 signalling following EAA intake and exercise. Maintained anabolic sensitivity with age appears to be a function of a compensatory increase in basal levels of proteins involved in anabolic signalling. Therefore, our results suggest that age per se does not appear to cause AR in human skeletal muscle.

Sprint interval training (SIT) is a time-efficient type of endurance training that involves large type 2 muscle fibre recruitment. Effective antioxidant supplementation may mitigate positive training adaptations by limiting the oxidant challenge. Our aim was to test whether SIT affects type 2 more than type 1 muscle fibres, and whether the muscular training response is mitigated by antioxidant treatment. Young men performed three weekly SIT sessions (4-6 x 30 s all-out cycling) for 3 weeks while treated with antioxidants (vitamin C, 1 g day(-1); vitamin E, 235 mg day(-1)) or placebo. Vastus lateralis biopsies were taken to measure (i) activation of genes for reactive oxygen/nitrogen species (ROS) sensors and inflammatory mediators with quantitative RT-PCR and (ii) fibre type-specific proteome adaptations using MS-based proteomics. Vitamin treatment decreased the upregulation of genes for ROS sensors and inflammatory regulators during the first SIT session. The 3 weeks of SIT caused generally larger proteome adaptations in type 2 than in type 1 fibres, and this included larger increases in abundance of proteins involved in mitochondrial energy production. Vitamin treatment blunted the SIT-induced proteome adaptations, whereas it did not affect the training-induced improvement in maximal cycling performance. In conclusion, (i) the large type 2 fibre recruitment and resulting proteome adaptations are instrumental to the effectiveness of SIT and (ii) antioxidant supplementation counteracts positive muscular adaptations to SIT, which would blunt any improvement in submaximal endurance performance, whereas it does not affect the improvement in maximal cycling performance, where O-2 delivery to muscle would be limiting.

Human skeletal muscle comprises slow-twitch (type I) and fast-twitch (type II) fibers. Fiber type-specific analyses often require manual isolation of fibers, necessitating effective tissue preservation. While freeze-drying remains the standard, alternative preservation methods such as RNAlater and RNAlater-ICE are increasingly used. Besides their utility in preserving RNA, it needs to be determined whether RNAlater and RNAlater-ICE can be utilized for broader downstream biochemical analyses in skeletal muscle tissue. In this study, we compared freeze-drying to RNAlater and three RNAlater-ICE-based protocols. We observed substantial and consistent alterations in protein content, amino acid levels, and enzyme activity depending on the preservation method. Notably, all RNAlater-ICE protocols abolished citrate synthase activity, and branched-chain amino acid levels were markedly reduced in both RNAlater and RNAlater-ICE-treated samples relative to freeze-dried tissue. Total protein concentration was comparable between freeze-dried and RNAlater-preserved muscle, whereas RNAlater-ICE protocols yielded lower values. After centrifugation, supernatant protein concentration was higher in RNAlater-treated samples, but consistently lowest following RNAlater-ICE treatment. Our results demonstrate the importance of choosing an appropriate preservation method for skeletal muscle prior to downstream biochemical analysis and that care should be taken when using RNAlater and RNAlater-ICE for protein or amino acid analysis.

Brain-derived neurotrophic factor (BDNF) is a key mediator of neuroplasticity and responsive to acute physical exercise, providing a link between exercise and brain health. Lactate, a metabolite related to exercise, has been proposed as a potential mediator of the BDNF exercise response; however, lactate's role in isolation has not yet been determined. To investigate this, 18 young, healthy volunteers (50% female) were recruited to donate blood and muscle before, during, and after a 1-h venous infusion of sodium lactate (125 μmol × kg FFM^-1 × min^-1) or isotonic saline. Muscle and blood samples were collected during 120 min of recovery from the infusion. Samples were analyzed for pro-BDNF and mBDNF using enzyme-linked immunosorbent assay and immunoblotting. The participants reached a peak plasma lactate level of 5.9 ± 0.37 mmol × L^-1 in the lactate trial (p = 0.0002 vs. Pre). Plasma pro-BDNF levels increased 15 min post lactate infusion and stayed elevated throughout the recovery (55%-68%, p < 0.0286 vs. Saline) while plasma and serum levels of mBDNF showed no significant change (p > 0.05 vs. Saline). Muscle pro-BDNF levels were also unaltered by the lactate infusion (p > 0.05 vs. Saline); however, the expression of pro-BDNF correlated with the proportion of type I muscle fiber area (fCSA%) of the participants (n = 18, r = 0.6746, p = 0.0021). Muscle levels of the mBDNF isoform were non-detectable. In conclusion, these results suggest that lactate in isolation affects circulatory pro-BDNF, but not mBDNF levels. This implies that lactate may partly mediate the exercise response of pro-BDNF in humans.

OBJECTIVE: Here we use skeletal muscle fiber composition to investigate whether defects in amino acid metabolism are involved in the early development of IR in healthy young individuals before onset of clinical manifestations.

DESIGN: Two groups consisting of healthy young men and women, insulin-sensitive and insulin resistant, were studied using a cross-sectional design.

METHODS: Biopsies were obtained from the vastus lateralis muscle and an intravenous glucose tolerance test was performed. Plasma and muscle tissue were analyzed by metabolomics.

RESULTS: Subjects in group 1 (n=20; age 28±5 yrs; body mass index 22.3±2.7 kg/m2) had an expression of type I muscle fibers and whole-body insulin sensitivity, respectively, of 58.8±5.7% and 1.8±0.7 units. Subjects in group 2 (n=16; age 25±6 yrs; body mass index 22.6±3.0 kg/m2) had an expression of type I muscle fibers and whole-body insulin sensitivity, respectively, of 29.8±6.6% and 0.8±0.3 units (P<0.001 vs. group 1 for both). Anserine and β-alanine contents in muscle were significantly higher and taurine lower in group 2 vs. 1, consistent with the differences in muscle fiber composition between groups. Taurine correlated well with insulin sensitivity and expression of type I muscle fibers (r=0.63; P<0.001 for both). In contrast, there were no significant differences in plasma or tissue contents of glutamine, arginine, or branch-chain amino acids between groups.

CONCLUSIONS: These data demonstrate that the early development of IR is not a consequence of defects in amino acid metabolism. Rather, defects in amino acid metabolism in diseased states are more likely a consequence of IR.

Human skeletal muscle fiber type composition varies greatly along the muscle, so one biopsy may not accurately represent the whole muscle. Recommendations on the number of biopsies and fiber counts using immunohistochemistry and whether these findings can be extrapolated to other muscles are lacking. We assessed fiber type composition in the vastus lateralis and gastrocnemius medialis muscles of 40 individuals. Per muscle, we took four biopsy samples from one incision, collecting two samples each from a proximally and distally directed needle. Based on another dataset involving 10 vastus lateralis biopsies per participant (N=7), we calculated 95% limits of agreement for subsets of biopsies and fiber counts compared to the 10-biopsy average. Average absolute differences in type I fiber proportions between proximal and distal, and between within-needle samples were 6.9 and 4.5 percentage points in the vastus lateralis, and 5.5 and 4.4 percentage points in the gastrocnemius medialis, respectively. The 95% limits of agreement narrowed to ±10 percentage points when 200 fibers from at least three biopsies were analyzed, with minimal improvements with greater fiber counts. Type I fiber proportions in the vastus lateralis and gastrocnemius medialis showed a moderate positive association (r²=0.22; p=0.006; at least 200 fibers in each of three to four samples per muscle). In conclusion, three biopsies with a minimum of 200 counted fibers are required to estimate vastus lateralis fiber type composition within ±10 percentage points. Even when using these standards, researchers should be cautious when extrapolating muscle fiber type proportions from one muscle to another.