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Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor
Open accessAbstract
Metabolic flexibility of skeletal muscle, that is, the preference for fat oxidation (FOx) during fasting and for carbohydrate oxidation in response to insulin, is decreased during insulin resistance. The aim of this study was to test the hypothesis that the capacity of myotubes to oxidize fat in vitro reflects the donor's metabolic characteristics. Insulin sensitivity (IS) and metabolic flexibility of 16 healthy, young male subjects was determined by euglycemic hyperinsulinemic clamp. Muscle samples were obtained from vastus lateralis, cultured, and differentiated into myotubes. In human myotubes in vitro, we measured suppressibility (glucose suppression of FOx) and adaptability (an increase in FOx in the presence of high palmitate concentration). We termed these dynamic changes in FOx metabolic switching. In vivo, metabolic flexibility was positively correlated with IS and maximal oxygen uptake and inversely correlated with percent body fat. In vitro suppressibility was inversely correlated with IS and metabolic flexibility and positively correlated with body fat and fasting FFA levels. Adaptability was negatively associated with percent body fat and fasting insulin and positively correlated with IS and metabolic flexibility. The interindividual variability in metabolic phenotypes was preserved in human myotubes separated from their neuroendocrine environment, which supports the hypothesis that metabolic switching is an intrinsic property of skeletal muscle.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Increasing palmitate concentration in vitro produced an increase in 14 CO 2 and ASP production (r = 0.998; P < 0.0001; Figure 1B).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, in some subjects, the maximal rate of FOx (reflected by ASP production) flattened out at 100 µM palmitate, which suggests an inability to further oxidize fatty acids.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Metabolic flexibility, defined as the change in RQ during a clamp [∆RQ (clamp)], was negatively correlated with percent body fat and fasting FFA levels”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“An increase in the extracellular glucose concentration in vitro resulted in a decrease of FOx as indicated by levels of both 14 CO 2 and 14 C-intermediate metabolites of FOx (acidsoluble products [ASPs]) (r = -0.96,P < 0.0001 for 14 CO 2 ; r = -0.95,P < 0.0001 for ASPs; data not shown).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
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In the paper
“A negative correlation was observed between IS and fasting levels of both insulin (r = -0.65;P = 0.0003) and FFAs (r = -0.81;P < 0.0001).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“An inverse relationship was observed between basal FOx (at 1 µCi/ml 14 C-palmitate with 0 µM cold palmitate) and the fold increase in FOx (r = -0.51;P = 0.025).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A positive relationship was observed between percent suppression of 14 CO 2 by glucose (% suppression = [1 -(FOx at 5 mM glucose / FOx at 0 mM glucose)] × 100) and percent suppression of total palmitate oxidation (TOx) by glucose (TOx = 14 CO 2 + 14 C-ASPs) (r = 0.51; P = 0.03).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For fold change of TOx, no significant relationship was found between the results of the 2 assays.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, these in vitro-in vivo relationships were only observed for CO 2 , not for total FOx (P = 0.5 for percent body fat; P = 0.1 for FFA levels)”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Glucose suppressibility of FOx is an intrinsic characteristic of muscle cells.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“No significant relationship was observed between fold increase in 14 CO 2 (in the in vitro adaptability assay) and percent suppression of 14 CO 2 (in the in vitro suppressibility assay), when all 16 subjects were used for the analysis.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
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- It may state two separate claims as one. 13
- Probably not a substantial claim. 7
- The quote only partly states this claim. 3
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“On the other hand, ∆RQ (clamp) correlated positively with IS and VO 2 max”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, IS, measured by euglycemic hyperinsulinemic clamp (clamp), correlated negatively with percentage body fat (r = -0.60;P = 0.008) and positively with maximal oxygen uptake (VO 2 max) (r = 0.59; P = 0.015)”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Fasting RQ during the clamp, a parameter of fasting fuel partitioning, was related neither to IS (P = 0.80) nor to anthropometric characteristics of subjects (percent body fat; P = 0.60).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Relationship between metabolic flexibility and IS in vivo.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Neither percentage suppression of 14 CO 2 nor percentage suppression of TOx correlated with fasting RQ (measured by clamp) or 24hour RQ (measured by indirect calorimetry) in vivo.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Glucose suppressibility of FOx is an intrinsic characteristic of muscle cells.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In our model, short-term exposure of myotubes to increased palmitate levels enhanced FOx 3-to 5-fold, the magnitude of response correlating with clinical phenotype.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, we found a correlation between the suppressibility of FOx by glucose (percent suppression of 14 CO 2 ) in vitro and percent body fat (r = 0.56; P = 0.02) and fasting FFA levels (r = 0.58; P = 0.01; Figure 2, C and D) in vivo.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Glucose suppressibility of FOx is an intrinsic characteristic of muscle cells.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Fold increase in 14 CO 2 was positively correlated with in vivo metabolic flexibility [as indicated by ∆RQ (clamp)] (r = 0.53; P = 0.035; Figure 3A), IS (as measured by clamp) (r = 0.60; P = 0.015; Figure 3B) and aerobic capacity (VO 2 max) (r = 0.70; P = 0.002; Figure 3C), respectively.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Metabolic adaptability is an intrinsic characteristic of muscle cells.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“14 CO2 at basal palmitate | 0.33 ± 0.25 | 0.15-0.71”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Statistical analysis.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As was the case with the in vitro glucose suppressibility assay, CO 2 production appeared to be a better correlate with the clinical phenotypes than was ASP production.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Metabolic adaptability is an intrinsic characteristic of muscle cells.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“analysis clearly demonstrate the relationship between clinical phenotypes and dynamic changes in FOx in cultured myotubes, which supports the hypothesis that metabolic switching is, at least to a certain extent, an intrinsic characteristic of skeletal muscle.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Growing human myotubes in a standardized insulin-free medium strips away whole-body neuroendocrine and environmental effects, so the in vitro readouts reveal intrinsic muscle-cell properties.
- Rests on an assumption: The donor's metabolic phenotype is stable and captured well enough by the measured in vivo traits.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“According to our studies, in vivo insulin responsiveness decreases with increasing in vitro suppressibility, which indicates greater glucose suppression of FOx in insulin resistance and metabolic inflexibility.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Figure 4
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“RQ were adjusted for energy balance as described previously (71).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Body composition.
What the sources say
- Not checked yetcites [71] Nguyen, 2003, Med. Biol. Eng. Comput. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Glucose disposal rate, a parameter of IS, was adjusted for kilograms of LBM.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Figure 3
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All assays were performed in duplicate, and data were normalized to protein content.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Figure 4
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one. The quote only partly states this claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Coefficients of variation for the measurement of the LBM, fat mass, and percentage of body fat were 0.8%, 1.6%, and 1.7%, respectively.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Body composition.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Defects in skeletal muscle oxidative capacity and fat metabolism are highly correlated with insulin sensitivity (IS) (1,5,12) and are believed to contribute to the pathogenesis of insulin resistance (13,14).”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Introduction
What the sources say
- Not checked yetcites [1] Colberg, 1995, J. Clin. Invest. source
- Not checked yetcites [5] Kelley, 1999, Am. J. Physiol. source
- Not checked yetcites [12] Bruce, 2003, J. Clin. Endocrinol. Metab. source
- Not checked yetcites [13] Storlien, 2004, Proc. Nutr. Soc. source
- Not checked yetcites [14] Kelley, 2000, Diabetes. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Coefficients of variation for total daily energy expenditure and RQ are 2% and 16%, respectively.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Body composition.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one. The quote only partly states this claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“To account for the effect of basal FOx on the fold increase in FOx, the semi-partial correlation was computed to examine the relations between fold increase FOx and clinical characteristics (BMI, VO2max, fasting insulin, etc.), while basal FOx production was held as a constant.”
§ Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor > Statistical analysis.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper relies on this without support.
Growing human myotubes in a standardized insulin-free medium strips away whole-body neuroendocrine and environmental effects, so the in vitro readouts reveal intrinsic muscle-cell properties.
“We cultured muscle satellite cells from individuals with differing clinical characteristics in a standardized, insulin-free medium”
“This model is ideal for studying interindividual differences of metabolism intrinsic to the skeletal muscle, i.e., independent of the influences of the whole-body environment”
The paper relies on this without support.
The donor's metabolic phenotype is stable and captured well enough by the measured in vivo traits.
“We related these responses of myotubes in vitro to the clinical phenotypes of their donors.”
The paper relies on this without support.
In vitro intrinsic defects in metabolic switching reflect processes that contribute to obesity and insulin resistance in vivo.
“Intrinsic defects in metabolic switching of skeletal muscle might participate in the generation of a “lipotoxic milieu” in the muscle cell (13, 14) that acts in concert with environmental factors, such as a HFD, to favor the accumulation of lipids and lipid intermediates implicated in insulin resistance (34)(35)(36)(37).”
The paper relies on this without support.
The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
“The in vitro suppressibility assay was designed to measure the ability of myotubes to maintain FOx in the presence of glucose, in insulin-free medium (that is, fuel preference of metabolic switching).”
The paper relies on this without support.
The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
“The in vitro adaptability assay focused on the capacity of myotubes to increase FOx in response to an acute exposure to a high palmitate concentration.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Accordingly, MetFlex-lip of human myotubes in vitro correlates directly with the donor's insulin sensitivity in vivo (29).”
From Metabolic flexibility to lipid availability during exercise is enhanced in individuals with high insulin sensitivity (2018) · cites this paper as [29]
In the citing paper
“cross-sectional studies showing that isolated muscle strips, tissue homogenates or cultured myocytes from severely obese and/or diabetic humans exhibit diminished rates of fat oxidation when compared to specimens derived from healthy control subjects [9,41,46,87].”
From Intramuscular triacylglycerol and insulin resistance: guilty as charged or wrongly accused? (2010) · cites this paper as [87]
In the citing paper
“This characteristic appears to be intrinsic to skeletal muscle because primary muscle cell cultures from insulin-resistant subjects retain abnormal patterns of whole-body fuel use (1).”
In the citing paper
“The relationship between fasting RQ and insulin sensitivity, however, has not always been observed.”
From Metabolic flexibility and insulin resistance (2008) · cites this paper as [61]
In the citing paper
“Metabolic inflexibility to glucose and impaired glucose storage during a hyperinsulinemic clamp is consistently reported in insulin-resistant subjects.”
From Metabolic flexibility and insulin resistance (2008) · cites this paper as [61]
In the citing paper
“Contrary to expectations, in vitro suppressibility of fat oxidation was lower in subjects with higher whole body insulin sensitivity and higher metabolic flexibility to glucose.”
From Metabolic flexibility and insulin resistance (2008) · cites this paper as [61]
In the citing paper
“In fact, a direct relationship between metabolic flexibility to glucose and glucose disposal rate is described ([14](#r14), [24](#r24), [61](#r61), [62](#r62)) ([Fig. 3*B*](#f3)).”
From Metabolic flexibility and insulin resistance (2008) · cites this paper as [61]
In the citing paper
“Such muscle mitochondrial dysfunction was suggested to be an intrinsic characteristic of muscle cells, since fat oxidation in response to palmitate was lower in myotubes from insulin-resistant vs. insulin-sensitive individuals ([16](#r16), [61](#r61)).”
From Metabolic flexibility and insulin resistance (2008) · cites this paper as [61]
In the citing paper
“Such observations are most likely attributed to testosterone-induced changes in lipid metabolism and/or altered postreceptor insulin signaling in muscle (54) and also improved insulin sensitivity enhancing muscle lipid uptake (55).”
From Onset of effects of testosterone treatment and time span until maximum effects are achieved (2011) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Adaptability SD is incompatible with its mean and range
MinorFor 16 observations with a mean of 3.19 and a range of 2.99-4.87, the sample SD cannot exceed about 0.60. The reported SD of 0.76 is therefore incompatible with the other reported values.
“| In vitro adaptability | Fold increase in 14 CO2 | 3.19 ± 0.76 | 2.99-4.87 |”
“Muscle cells from 16 individuals were grown and differentiated into myotubes in 24-well plates.”
Biopsy-method citation points to a different reference
MinorThe text cites reference 73 for the Bergstrom biopsy technique, but reference 73 is about energy expenditure. The Bergstrom biopsy paper is listed as reference 74.
“Samples of vastus lateralis, weighing 60-100 mg, were obtained by muscle biopsy using the Bergstrom technique (73).”
“73. Ravussin, E., Lillioja, S., Anderson, T.E., Christin, L., and Bogardus, C. 1986. Determinants of 24- hour energy expenditure in man. Methods and results using a respiratory chamber. J. Clin. Invest. 78:1568-1578.”
Citations
Cites
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Yamauchi, T., Kamon, J., Waki, H., Terauchi, Y., Kubota, N., Hara, K., Mori, Y., Ide, T., Murakami, K., Tsuboyama-Kasaoka, N., et al. (2001) · Nature Medicine · doi:10.1038/90984 · Cited by 4,915
Age-predicted maximal heart rate revisited
Tanaka, H., Monahan, K. D., & Seals, D. R. (2001) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(00)01054-8 · Cited by 3,775 · cited 2×
“VO2max was determined by a progressive treadmill test to exhaustion in accordance with the recommendations described by the American College of Sports Medicine (69).”
MethodWeyer, C., Funahashi, T., Tanaka, S., Hotta, K., Matsuzawa, Y., Pratley, R. E., & Tataranni, P. A. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.5.7463 · Cited by 3,541
Cellular mechanisms of insulin resistance
Shulman, G. I. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10583 · Cited by 2,714
Dysfunction of Mitochondria in Human Skeletal Muscle in Type 2 Diabetes
Kelley, D. E., He, J., Menshikova, E. V., & Ritov, V. B. (2002) · Diabetes · doi:10.2337/diabetes.51.10.2944 · Cited by 2,321
Mechanism of free fatty acid-induced insulin resistance in humans.
Roden, M., Price, T. B., Perseghin, G., Petersen, K. F., Rothman, D. L., Cline, G. W., & Shulman, G. I. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118742 · Cited by 1,539
Percutaneous Needle Biopsy of Skeletal Muscle in Physiological and Clinical Research
Bergström, J. P. (1975) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365517509095787 · Cited by 1,173
Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber.
Ravussin, E., Lillioja, S., Anderson, T. E., Christin, L., & Bogardus, C. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112749 · Cited by 1,166
Kelley, D. E., Goodpaster, B., Wing, R. R., & Simoneau, J.-A. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.277.6.e1130 · Cited by 1,096
Flagged first, then by citations
Research works printed but not linked: 12
- Raben, 1998, Am. J. Physiol., 275, E487
- Ranneries, 1998, Am. J. Physiol., 274, E155
- Zurlo, 1990, Am. J. Physiol., 259, E650
- Ravussin, 1993, Int. J. Obes. Relat. Metab. Disord., 17(Suppl. 3), S28
- Astrup, 1994, Am. J. Physiol., 266, E592
- Mandarino, 1996, Am. J. Physiol., 270, E463
- Sidossis, 1996, Am. J. Physiol., 270, E733
- Kleiber, 1992, Diabete. Metab., 18, 84
- Oakes, 2002, J. R. Soc. Med., 95(Suppl. 42), 33
- Kirkwood, 1991, Am. J. Physiol., 260, E89
- DeFronzo, 1979, Am. J. Physiol., 237, E214
- Acheson, 1984, Am. J. Physiol., 246, E62
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Gaster, M. (2007) · Journal of Lipid Research · doi:10.1194/jlr.m600319-jlr200 · Cited by 29
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Clapham, J. C., & Arch, J. R. S. (2011) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2011.04.004 · Cited by 31
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Erickson, M. L., Patinkin, Z. W., Duensing, A. M., Dabelea, D., Redman, L. M., & Boyle, K. E. (2021) · JCI Insight · doi:10.1172/jci.insight.146606 · Cited by 28
Laurens, C., Badin, P.-M., Louche, K., Mairal, A., Tavernier, G., Marette, A., Tremblay, A., Weisnagel, S. J., Joanisse, D. R., Langin, D., et al. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.04.004 · Cited by 27
The RNA binding protein HuR influences skeletal muscle metabolic flexibility in rodents and humans
Mynatt, R. L., Noland, R. C., Elks, C. M., Vandanmagsar, B., Bayless, D. S., Stone, A. C., Ghosh, S., Ravussin, É., & Warfel, J. D. (2019) · Metabolism · doi:10.1016/j.metabol.2019.05.010 · Cited by 28
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Stephenson, E. J., & Hawley, J. A. (2013) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2013.12.004 · Cited by 28
Bakke, S. S., Feng, Y., Nikolić, N., Kase, E. T., Moro, C., Stensrud, C., Damlien, L., Ludahl, M. O., Sandbu, R., Solheim, B. M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119556 · Cited by 26
Thrush, A. B., Zhang, R., Chen, W., Seifert, E. L., Quizi, J., McPherson, R., Dent, R., & Harper, M. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-1726 · Cited by 26
Shook, R. P., Hand, G. A., Paluch, A. E., Wang, X., Moran, R., Hébert, J. R., Lavie, C. J., & Blair, S. N. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2013.12.017 · Cited by 22
Oxidative status of muscle is determined by p107 regulation of PGC-1α
Scimè, A., Soleimani, V. D., Bentzinger, C. F., Gillespie, M. A. K., Grand, F. L., Grenier, G., Bevilacqua, L., Harper, M., & Rudnicki, M. A. (2010) · The Journal of Cell Biology · doi:10.1083/jcb.201005076 · Cited by 23
Innervation and electrical pulse stimulation — in vitro effects on human skeletal muscle cells
Marš, T., Miš, K., Meznarič, M., Mihevc, S. P., Jan, V., Haugen, F., Rogelj, B., Rustan, A. C., Thoresen, G. H., Pirkmajer, S., et al. (2020) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2019-0575 · Cited by 21
Scherp, P., Putluri, N., LeBlanc, G. J., Wang, Z. Q., Zhang, X. H., Yu, Y., Ribnicky, D., Cefalu, W. T., & Kheterpal, I. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.03.024 · Cited by 21
Nellemann, B., Gormsen, L. C., Sørensen, L. P., Christiansen, J. S., & Nielsen, S. (2011) · Obesity · doi:10.1038/oby.2011.290 · Cited by 21
Løvsletten, N. G., Rustan, A. C., Laurens, C., Thoresen, G. H., Moro, C., & Nikolić, N. (2019) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2019-0265 · Cited by 19
Fernández‐Verdejo, R., Castro‐Sepúlveda, M., Gutiérrez‐Pino, J., Malo‐Vintimilla, L., López‐Fuenzalida, A., Olmos, P. R., Santos, J. L., & Galgani, J. E. (2020) · Obesity · doi:10.1002/oby.22783 · Cited by 19
Subtyping obesity with microarrays: implications for the diagnosis and treatment of obesity
Wang, S., Sparks, L. M., Xie, H., Greenway, F. L., de Jonge, L., & Smith, S. R. (2009) · International Journal of Obesity · doi:10.1038/ijo.2008.277 · Cited by 18
Self-citationPlasma non-esterified fatty acids: why are we not measuring them routinely?
Frayn, K. N. (2005) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1258/000456305774538247 · Cited by 18
Lund, J., Tangen, D. S., Wiig, H., Stadheim, H. K., Helle, S. A., Birk, J. B., Ingemann-Hansen, T., Rustan, A. C., Thoresen, G. H., Wojtaszewski, J. F. P., et al. (2017) · Archives of Physiology and Biochemistry · doi:10.1080/13813455.2017.1369547 · Cited by 18
Lai, N., Fealy, C. E., Kummitha, C., Cabras, S., Kirwan, J. P., & Hoppel, C. L. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00677 · Cited by 15
Glaves, A., Díaz‐Castro, F., Farías, J., Ramírez-Romero, R., Galgani, J. E., & Fernández‐Verdejo, R. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.744187 · Cited by 15
Effect of weight loss on maximal fat oxidation rate in obese men
Tsujimoto, T., Sasai, H., Miyashita, M., Eto, M., So, R., Ohkubo, H., & Tanaka, K. (2011) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2011.06.003 · Cited by 14
Garthwaite, T., Sjöros, T., Laine, S., Koivumäki, M., Vähä‐Ypyä, H., Verho, T., Norha, J., Kallio, P., Saarenhovi, M., Löyttyniemi, E., et al. (2024) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00338.2023 · Cited by 15
Enhanced glucose metabolism in cultured human skeletal muscle after Roux-en-Y gastric bypass surgery
Nascimento, E. B. M., Riedl, I., Jiang, L. Q., Kulkarni, S. S., Näslund, E. B., & Krook, A. (2014) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2014.11.001 · Cited by 13
Krajčová, A., Žiak, J., Jiroutková, K., Pátková, J., Elkalaf, M., Džupa, V., Trnka, J., & Duška, F. (2013) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113513801 · Cited by 14
Nemec, M., Vernerová, L., Laiferová, N. A., Balážová, M., Vokurková, M., Kurdiová, T., Oreská, S., Kubínová, K., Klein, M., Špiritović, M., et al. (2020) · The Journal of Physiology · doi:10.1113/jp280468 · Cited by 12
Metabolic switching of human skeletal muscle cells in vitro
Thoresen, G. H., Hessvik, N. P., Bakke, S. S., Aas, V., & Rustan, A. C. (2011) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2011.04.017 · Cited by 15
Debard, C., Cozzone, D., Ricard, N., Vouillarmet, J., Disse, E., Husson, B., Laville, M., & Vidal, H. (2006) · Journal of Molecular Medicine · doi:10.1007/s00109-006-0077-x · Cited by 13
Jiroutková, K., Krajčová, A., Žiak, J., Fric, M., Gojda, J., Džupa, V., Kalous, M., Tůmová, J., Trnka, J., & Duška, F. (2016) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607116657649 · Cited by 11
Chemical-genetic induction of Malonyl-CoA decarboxylase in skeletal muscle
Rodriguez, S., Ellis, J. M., & Wolfgang, M. J. (2014) · BMC Biochemistry · doi:10.1186/1471-2091-15-20 · Cited by 11
Branis, N. M., Etesami, M., Walker, R. W., Berk, E. S., & Albu, J. (2015) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2015-000100 · Cited by 10
Duivenvoorde, L. P. M., van Schothorst, E. M., Derous, D., van der Stelt, I., Masania, J., Rabbani, N., Thornalley, P. J., & Keijer, J. (2014) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-014-1553-8 · Cited by 10
Mesenchymal stromal cells as a tool to unravel the developmental origins of disease
Todtenhaupt, P., van Pel, M., Roest, A. A. W., & Heijmans, B. T. (2022) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2022.06.002 · Cited by 9
Kanazawa, K., Uchino, H., Shigiyama, F., Igarashi, H., Ikehara, K., Yoshikawa, F., Usui, S., Miyagi, M., Yoshino, H., Ando, Y., et al. (2018) · Journal of Diabetes Investigation · doi:10.1111/jdi.12994 · Cited by 9
Shi, W., Hu, S., Wang, W., Zhou, X., & Qiu, W. (2013) · Journal of Diabetes Research · doi:10.1155/2013/163062 · Cited by 8
RetractedSeely, E. W., & Grinspoon, S. K. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802101-9.00002-8 · Cited by 9
Mitochondrial Metabolism and Insulin Action
Turner, N. A. (2013) · InTech eBooks · doi:10.5772/56449 · Cited by 8
Rostrup, E., Slettom, G., Seifert, R., Bjørndal, B., Berge, R. K., & Nordrehaug, J. E. (2013) · European Journal of Preventive Cardiology · doi:10.1177/2047487313483606 · Cited by 7
Substrate oxidation in primary human skeletal muscle cells is influenced by donor age
Aas, V., Thoresen, G. H., Rustan, A. C., & Lund, J. (2020) · Cell and Tissue Research · doi:10.1007/s00441-020-03275-w · Cited by 9
Skeletal muscle lipid metabolism and the adipomuscular axis
Sugden, M. C., & Holness, M. J. (2006) · Future Lipidology · doi:10.2217/17460875.1.2.153 · Cited by 7
Pujos‐Guillot, E., Brandolini-Bunlon, M., Fouillet, H., Joly, C., Martin, J., Huneau, J., Dardevet, D. P., & Mariotti, F. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy049 · Cited by 6
Gyllenhammer, L. E., & Boyle, K. E. (2025) · Current Obesity Reports · doi:10.1007/s13679-024-00599-4 · Cited by 6
Vernerová, L., Vokurková, M., Laiferová, N. A., Nemec, M., Špiritović, M., Mytiai, O., Oreská, S., Klein, M., Kubínová, K., Horváthová, V., et al. (2025) · Arthritis Research & Therapy · doi:10.1186/s13075-025-03516-9 · Cited by 6
Laiferová, N. A., Nemec, M., Vernerová, L., Balážová, M., Vokurková, M., Oreská, S., Klein, M., Špiritović, M., Tomčík, M., Vencovský, J., et al. (2022) · Clinical and Experimental Rheumatology · doi:10.55563/clinexprheumatol/69z7za · Cited by 6
Hosny, H., Ibrahim, M. Y., El-Siory, W., & Abdelmonem, A. (2017) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2017.11.020 · Cited by 6
Baugh, M. E., Bowser, S. M., McMillan, R. P., Davy, B. M., Essenmacher, L. A., Neilson, A. P., Hulver, M. W., & Davy, K. P. (2020) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00576.2019 · Cited by 6
Nikolić, N., Bakke, S. S., Kase, E. T., Rudberg, I., Halle, I. F., Rustan, A. C., Thoresen, G. H., & Aas, V. (2013) · PLoS ONE · doi:10.1371/annotation/270b432d-50ec-41f1-ad4d-ddd9f51f62a5 · Cited by 5
Yeo, R. X., Dijkstra, P. J., de Carvalho, F. G., Yi, F., Pino, M. F., Smith, S. R., & Sparks, L. M. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00146.2022 · Cited by 4
Self-citationTranslating In Vitro Models of Exercise in Human Muscle Cells: A Mitocentric View
Yeo, R. X., Noone, J., & Sparks, L. M. (2023) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000330 · Cited by 4
Fat Metabolism in Insulin Resistance and Type 2 Diabetes
Duez, H., & Lewis, G. F. (2008) · Humana Press eBooks · doi:10.1007/978-1-60327-043-4_4 · Cited by 4
UCP4 overexpression improves fatty acid oxidation and insulin sensitivity in L6 myocytes
Gao, C., Ni, Y., Liu, G., Chen, X.-H., Ji, C., Qin, D., Kou, C., Zhu, C., Zhang, C., Xia, Z., et al. (2011) · Journal of Bioenergetics and Biomembranes · doi:10.1007/s10863-011-9344-9 · Cited by 4
Energy Substrate Partitioning and Efficiency in Individuals With Atherogenic Lipoprotein Phenotype
Faghihnia, N., Siri‐Tarino, P. W., Krauss, R. M., & Brooks, G. A. (2011) · Obesity · doi:10.1038/oby.2011.72 · Cited by 4
Fabre, O., Giordani, L., Parisi, A., Pattamaprapanont, P., Ahwazi, D., Brun, C. E., Chakroun, I., Taleb, A., Blais, A., Andersen, E., et al. (2020) · bioRxiv · doi:10.1101/2020.02.20.956300 · Cited by 5
Real-time RT-PCR v1Preprint
Wang, Y. J. (2017) · doi:10.17504/protocols.io.iencbde · Cited by 4
Aging delays the suppression of lipolysis and fatty acid oxidation in the postprandial period
Osmond, A. D., Leija, R. G., Arevalo, J. A., Curl, C. C., Duong, J. J., Huie, M. J., Masharani, U. B., & Brooks, G. A. (2024) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00437.2024 · Cited by 4
Hopkins, M., Jeukendrup, A., King, N. A., & Blundell, J. E. (2011) · Sports Medicine · doi:10.2165/11588780-000000000-00000 · Cited by 58
Downregulation of microRNA‐494 drives mitochondrial biogenesis and function in trained muscle
Pálešová, N., Gabrišová, K., Babulicová, J., Krumpolec, P., Kovaničová, Z., Kurdiová, T., Modica, S., Wolfrum, C., Ukropec, J., Ukropcová, B., et al. (2025) · Experimental Physiology · doi:10.1113/ep092977 · Cited by 3
Vil trening in vivo prege skjelettmuskelceller in vitro
Lund, J. (2013) · NORA - Norwegian Open Research Archives · Cited by 2
Aguer, C., Gambarotta, D., Mailloux, R. J., Moffat, C., Dent, R., McPherson, R., & Harper, M. (2012) · PLoS ONE · doi:10.1371/annotation/eb51f7a7-a8fd-45a3-9df0-e6080c47fe06 · Cited by 2
Aguer, C., Gambarotta, D., Mailloux, R. J., Moffat, C., Dent, R., McPherson, R., & Harper, M. (2012) · PLoS ONE · doi:10.1371/annotation/4a3c143c-7338-4ed3-8fc4-a21526fd05a6 · Cited by 2
Gagnon, S. D., Qian, J., Belhac, V., & Martin, N. R. W. (2025) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-025-01041-2 · Cited by 2
(2007) · Humana Press eBooks · doi:10.1007/978-1-59745-431-5_2 · Cited by 1
Hallén, S., & Clapham, J. C. (2009) · Expert Opinion on Drug Discovery · doi:10.1517/17460440902821640 · Cited by 1
Hernández, M. A. G., Blaak, E. E., Hoebers, N., Essers, Y. P. G., Canfora, E. E., & Jocken, J. W. E. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.659928 · Cited by 1
van Bree, B. W. J. (2014) · Research Publications (Maastricht University) · doi:10.26481/dis.20141017bb
Association of fat oxidation and insulin resistance in prepubertal children
VanVrancken-Tompkins, C. (2008) · ScholarWorks @ The University of New Orleans (The University of New Orleans)
Zhang, R. (2012) · uO Research (University of Ottawa) · doi:10.20381/ruor-5570
van Herpen, N. A. (2012) · Research Publications (Maastricht University) · doi:10.26481/dis.20120426nh
Adipose Tissue and Skeletal Muscle Plasticity in Obesity and Metabolic Disease
Ukropec, J., & Ukropcov, B. (2012) · InTech eBooks · doi:10.5772/28506
Fatty acid metabolism, impaired glucose tolerance and the effects of lifestyle
Corpeleijn, E. (2006) · Research Publications (Maastricht University) · doi:10.26481/dis.20061110ec
Room Calorimetry as a Method of Measuring Metabolic Flexibility
Leger, J. (2015) · University Libraries (University of Maryland) · doi:10.13016/m24065
Martins, A. R. (2014) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.87.2014.tde-05012015-152951
Boyle, K. E., & Friedman, J. E. (2011) · Fetal and Maternal Medicine Review · doi:10.1017/s0965539511000118
The Effects of Leucine on Fatty Acid Oxidation in Chronically Active Males
Csanadi, C. D. (2012)
Attività fisica e regolazione del bilancio metabolico
Maffeis, C. (2006) · Springer eBooks · doi:10.1007/88-470-0450-0_7
Nutrient regulation of energy metabolism in relation to obesity and type 2 diabetes
Wensaas, A. J. (2010) · NORA - Norwegian Open Research Archives
Endocannabinoids and skeletal muscle glucose uptake.
Cavuoto, P. (2010) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)
Weber, T. M. (2013) · The Scholarship East Carolina University's Institutional Repository (East Carolina University)
Bakke, S. S. (2013) · NORA - Norwegian Open Research Archives
Myrland, C. K. (2011) · NORA - Norwegian Open Research Archives
Effekter og metabolisme av ulike fettsyrer i humane skjelettmuskelceller i kultur
Lauvhaug, L. (2011) · NORA - Norwegian Open Research Archives
Effekt av trening in vivo og in vitro på humane skjelettmuskelceller i kultur
Løvsletten, N. G. (2015) · NORA - Norwegian Open Research Archives
Metabolsk fleksibilitet i humane skjelettmuskelceller
Fjørkenstad, A. (2008) · NORA - Norwegian Open Research Archives
Fatty Acid Metabolism in Skeletal Muscle and Nerve, and in Neuromuscular Disorders
Yao, J., & Rebouche, C. J. (2007) · Food science and technology · doi:10.1201/9781420006902.ch48
Parsons, S. A., Jones, K. P., Yi, F., Bock, C. P., Petucci, C. J., Betancourt, S. K., Gardell, S. J., & Smith, S. R. (2016) · Translational Medicine Communications · doi:10.1186/s41231-016-0004-2
Self-citationDietary polyphenols: modulators of energy and substrate metabolism in obese humans
Most, J. (2016) · Research Publications (Maastricht University) · doi:10.26481/dis.20160115jm
The Role of High Saturated Fatty Acid Diets on Skeletal Muscle Metabolism and Inflammation
Haynie, K. R. (2011) · VTechWorks (Virginia Tech)
Hinkley, J. M. (2016) · The Scholarship East Carolina University's Institutional Repository (East Carolina University)
Warnke (2018) · Research Publications (Maastricht University) · doi:10.26481/dis.20180316iw
Metadata
- Authors
- Ukropcova, B., McNeil, M., Sereda, O., de Jonge, L., Xie, H., Bray, G. A., & Smith, S. R.
- Affiliations
- Pennington Biomedical Research Center (US)
- Corresponding author
- Smith, Steven R.
- Venue
- Journal of Clinical Investigation
- Published
- 2005-07-01
- Volume
- 115
- Issue
- 7
- Pages
- 1934-1941
- ISSN
- 0021-9738 (ISSN-L)
- PMC
- PMC1159139
- OpenAlex
- W2098384661
- Semantic Scholar
- f721ac6c8e8feb8139e5dd7e128cb8df2dd30680
- Cited by
- 213
- References
- 79
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 10 · 2019: 4 · 2018: 7 · 2017: 9 · 2016: 10 · 2015: 11 · 2014: 12 · 2013: 21 · 2012: 11
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Agriculture
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Keywords
- fat oxidation, insulin sensitivity, myotubes, metabolic switch, insulin resistance, palmitate, fat mass, VO2max, interindividual variability, vastus lateralis
- MeSH terms
- Adolescent, Adult, Dietary Fats, Glucose, Humans, Insulin Resistance, Male, Models, Biological, Oxidation-Reduction, Phenotype, Glucose Clamp Technique, Muscle Fibers, Skeletal, Palmitic Acid, In Vitro Techniques
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