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1.
Physiol Rep ; 11(12): e15734, 2023 06.
Article in English | MEDLINE | ID: mdl-37340318

ABSTRACT

Mitochondria are organelles that fuel cellular energy requirements by ATP formation via aerobic metabolism. Given the wide variety of methods to assess skeletal muscle mitochondrial capacity, we tested how well different invasive and noninvasive markers of skeletal muscle mitochondrial capacity reflect mitochondrial respiration in permeabilized muscle fibers. Nineteen young men (mean age: 24 ± 4 years) were recruited, and a muscle biopsy was collected to determine mitochondrial respiration from permeabilized muscle fibers and to quantify markers of mitochondrial capacity, content such as citrate synthase (CS) activity, mitochondrial DNA copy number, TOMM20, VDAC, and protein content for complex I-V of the oxidative phosphorylation (OXPHOS) system. Additionally, all participants underwent noninvasive assessments of mitochondrial capacity: PCr recovery postexercise (by 31 P-MRS), maximal aerobic capacity, and gross exercise efficiency by cycling exercise. From the invasive markers, Complex V protein content and CS activity showed the strongest concordance (Rc = 0.50 to 0.72) with ADP-stimulated coupled mitochondrial respiration, fueled by various substrates. Complex V protein content showed the strongest concordance (Rc = 0.72) with maximally uncoupled mitochondrial respiration. From the noninvasive markers, gross exercise efficiency, VO2max , and PCr recovery exhibited concordance values between 0.50 and 0.77 with ADP-stimulated coupled mitochondrial respiration. Gross exercise efficiency showed the strongest concordance with maximally uncoupled mitochondrial respiration (Rc = 0.67). From the invasive markers, Complex V protein content and CS activity are surrogates that best reflect skeletal muscle mitochondrial respiratory capacity. From the noninvasive markers, exercise efficiency and PCr recovery postexercise most closely reflect skeletal muscle mitochondrial respiratory capacity.


Subject(s)
Mitochondria, Muscle , Muscle, Skeletal , Male , Humans , Young Adult , Adult , Mitochondria, Muscle/metabolism , Muscle, Skeletal/metabolism , Mitochondria/metabolism , Muscle Fibers, Skeletal/metabolism , Oxidative Phosphorylation , Oxygen Consumption
2.
Diabetologia ; 64(12): 2817-2828, 2021 12.
Article in English | MEDLINE | ID: mdl-34510226

ABSTRACT

AIMS/HYPOTHESIS: In our current society sedentary behaviour predominates in most people and is associated with the risk of developing type 2 diabetes. It has been suggested that replacing sitting time by standing and walking could be beneficial for individuals with type 2 diabetes but the underlying mechanisms are unknown and direct comparisons with exercise are lacking. Our objective was to directly compare metabolic responses of either sitting less or exercising, relative to being sedentary. METHODS: We performed a randomised, crossover intervention study in 12 overweight women who performed three well-controlled 4 day activity regimens: (1) sitting regimen (sitting 14 h/day); (2) exercise regimen (sitting 13 h/day, exercise 1 h/day); and (3) sitting less regimen (sitting 9 h/day, standing 4 h/day and walking 3 h/day). The primary outcome was insulin sensitivity measured by a two-step hyperinsulinaemic-euglycaemic clamp. We additionally performed metabolomics on muscle biopsies taken before the clamp to identify changes at the molecular level. RESULTS: Replacing sitting time by standing and walking over 4 days resulted in improved peripheral insulin sensitivity, comparable with the improvement achieved by moderate-to-vigorous exercise. Specifically, we report a significant improvement in peripheral insulin sensitivity in the sitting less (~13%) and the exercise regimen (~20%), compared with the sitting regimen. Furthermore, sitting less shifted the underlying muscle metabolome towards that seen with moderate-to-vigorous exercise, compared with the sitting regimen. CONCLUSIONS/INTERPRETATIONS: Replacing sitting time by standing and walking is an attractive alternative to moderate-to-vigorous exercise for improving metabolic health. TRIAL REGISTRATION: ClinicalTrials.gov NCT03912922.


Subject(s)
Diabetes Mellitus, Type 2 , Insulin Resistance , Female , Humans , Insulin/metabolism , Insulin Resistance/physiology , Postmenopause , Sitting Position , Walking/physiology
3.
Mol Metab ; 41: 101050, 2020 11.
Article in English | MEDLINE | ID: mdl-32659272

ABSTRACT

OBJECTIVE: Skeletal muscle mitochondrial function and energy metabolism displays day-night rhythmicity in healthy, young individuals. Twenty-four-hour rhythmicity of metabolism has been implicated in the etiology of age-related metabolic disorders. Whether day-night rhythmicity in skeletal muscle mitochondrial function and energy metabolism is altered in older, metabolically comprised humans remains unknown. METHODS: Twelve male overweight volunteers with impaired glucose tolerance and insulin sensitivity stayed in a metabolic research unit for 2 days under free living conditions with regular meals. Indirect calorimetry was performed at 5 time points (8 AM, 1 PM, 6 PM, 11 PM, 4 AM), followed by a muscle biopsy. Mitochondrial oxidative capacity was measured in permeabilized muscle fibers using high-resolution respirometry. RESULTS: Mitochondrial oxidative capacity did not display rhythmicity. The expression of circadian core clock genes BMAL1 and REV-ERBα showed a clear day-night rhythm (p < 0.001), peaking at the end of the waking period. Remarkably, the repressor clock gene PER2 did not show rhythmicity, whereas PER1 and PER3 were strongly rhythmic (p < 0.001). On the whole-body level, resting energy expenditure was highest in the late evening (p < 0.001). Respiratory exchange ratio did not decrease during the night, indicating metabolic inflexibility. CONCLUSIONS: Mitochondrial oxidative capacity does not show a day-night rhythm in older, overweight participants with impaired glucose tolerance and insulin sensitivity. In addition, gene expression of PER2 in skeletal muscle indicates that rhythmicity of the negative feedback loop of the molecular clock is disturbed. CLINICALTRIALS. GOV ID: NCT03733743.


Subject(s)
Circadian Rhythm/physiology , Mitochondria/metabolism , Muscle, Skeletal/metabolism , ARNTL Transcription Factors/genetics , ARNTL Transcription Factors/metabolism , Adult , Aged , CLOCK Proteins/genetics , CLOCK Proteins/metabolism , Circadian Clocks/genetics , Gene Expression , Humans , Insulin Resistance/physiology , Male , Middle Aged , Mitochondria/physiology , Muscle Fibers, Skeletal/metabolism , Muscle Fibers, Skeletal/physiology , Muscle, Skeletal/physiology , Nuclear Receptor Subfamily 1, Group D, Member 1/genetics , Nuclear Receptor Subfamily 1, Group D, Member 1/metabolism , Overweight/metabolism , Period Circadian Proteins/genetics , Period Circadian Proteins/metabolism
4.
Am J Clin Nutr ; 112(2): 413-426, 2020 08 01.
Article in English | MEDLINE | ID: mdl-32320006

ABSTRACT

BACKGROUND: Nicotinamide riboside (NR) is an NAD+ precursor that boosts cellular NAD+ concentrations. Preclinical studies have shown profound metabolic health effects after NR supplementation. OBJECTIVES: We aimed to investigate the effects of 6 wk NR supplementation on insulin sensitivity, mitochondrial function, and other metabolic health parameters in overweight and obese volunteers. METHODS: A randomized, double-blinded, placebo-controlled, crossover intervention study was conducted in 13 healthy overweight or obese men and women. Participants received 6 wk NR (1000 mg/d) and placebo supplementation, followed by broad metabolic phenotyping, including hyperinsulinemic-euglycemic clamps, magnetic resonance spectroscopy, muscle biopsies, and assessment of ex vivo mitochondrial function and in vivo energy metabolism. RESULTS: Markers of increased NAD+ synthesis-nicotinic acid adenine dinucleotide and methyl nicotinamide-were elevated in skeletal muscle after NR compared with placebo. NR increased body fat-free mass (62.65% ± 2.49% compared with 61.32% ± 2.58% in NR and placebo, respectively; change: 1.34% ± 0.50%, P = 0.02) and increased sleeping metabolic rate. Interestingly, acetylcarnitine concentrations in skeletal muscle were increased upon NR (4558 ± 749 compared with 3025 ± 316 pmol/mg dry weight in NR and placebo, respectively; change: 1533 ± 683 pmol/mg dry weight, P = 0.04) and the capacity to form acetylcarnitine upon exercise was higher in NR than in placebo (2.99 ± 0.30 compared with 2.40 ± 0.33 mmol/kg wet weight; change: 0.53 ± 0.21 mmol/kg wet weight, P = 0.01). However, no effects of NR were found on insulin sensitivity, mitochondrial function, hepatic and intramyocellular lipid accumulation, cardiac energy status, cardiac ejection fraction, ambulatory blood pressure, plasma markers of inflammation, or energy metabolism. CONCLUSIONS: NR supplementation of 1000 mg/d for 6 wk in healthy overweight or obese men and women increased skeletal muscle NAD+ metabolites, affected skeletal muscle acetylcarnitine metabolism, and induced minor changes in body composition and sleeping metabolic rate. However, no other metabolic health effects were observed.This trial was registered at clinicaltrials.gov as NCT02835664.


Subject(s)
Acetylcarnitine/metabolism , Body Composition/drug effects , Muscle, Skeletal/metabolism , Niacinamide/analogs & derivatives , Obesity/drug therapy , Overweight/drug therapy , Aged , Dietary Supplements/analysis , Female , Humans , Male , Middle Aged , Muscle, Skeletal/drug effects , NAD/biosynthesis , Niacinamide/administration & dosage , Obesity/metabolism , Obesity/physiopathology , Overweight/metabolism , Overweight/physiopathology , Pyridinium Compounds
5.
Diabetes Care ; 41(12): 2535-2543, 2018 12.
Article in English | MEDLINE | ID: mdl-30327356

ABSTRACT

OBJECTIVE: Structural brain abnormalities are key risk factors for brain diseases, such as dementia, stroke, and depression, in type 2 diabetes. It is unknown whether structural brain abnormalities already occur in prediabetes. Therefore, we investigated whether both prediabetes and type 2 diabetes are associated with lacunar infarcts (LIs), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and brain atrophy. RESEARCH DESIGN AND METHODS: We used data from 2,228 participants (1,373 with normal glucose metabolism [NGM], 347 with prediabetes, and 508 with type 2 diabetes (oversampled); mean age 59.2 ± 8.2 years; 48.3% women) of the Maastricht Study, a population-based cohort study. Diabetes status was determined with an oral glucose tolerance test. Brain imaging was performed with 3 Tesla MRI. Results were analyzed with multivariable logistic and linear regression analyses. RESULTS: Prediabetes and type 2 diabetes were associated with the presence of LIs (odds ratio 1.61 [95% CI 0.98-2.63] and 1.67 [1.04-2.68], respectively; P trend = 0.027), larger WMH (ß 0.07 log10-transformed mL [log-mL] [95% CI 0.00-0.15] and 0.21 log-mL [0.14-0.28], respectively; P trend <0.001), and smaller white matter volumes (ß -4.0 mL [-7.3 to -0.6] and -7.2 mL [-10.4 to -4.0], respectively; P trend <0.001) compared with NGM. Prediabetes was not associated with gray matter volumes or the presence of CMBs. CONCLUSIONS: Prediabetes is associated with structural brain abnormalities, with further deterioration in type 2 diabetes. These results indicate that, in middle-aged populations, structural brain abnormalities already occur in prediabetes, which may suggest that the treatment of early dysglycemia may contribute to the prevention of brain diseases.


Subject(s)
Brain Diseases/diagnosis , Brain/pathology , Prediabetic State/complications , Adult , Aged , Atrophy/diagnosis , Atrophy/epidemiology , Atrophy/etiology , Atrophy/pathology , Brain/diagnostic imaging , Brain Diseases/epidemiology , Brain Diseases/etiology , Brain Diseases/pathology , Cohort Studies , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/pathology , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Netherlands/epidemiology , Prediabetic State/diagnosis , Prediabetic State/epidemiology , Prediabetic State/pathology , Risk Factors , Stroke/diagnosis , Stroke/epidemiology , Stroke/etiology , Stroke/pathology
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