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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 12 cited sources checked · 0 supported · 0 flagged
- Findingown data
In vitro, increasing palmitate concentration increases 14CO2 and ASP production.
“Increasing palmitate concentration in vitro produced an increase in 14 CO 2 and ASP production (r = 0.998; P < 0.0001; Figure 1B).”
Quote in the paperSubstantial claim - Findingown data
In some subjects, maximal fat oxidation rate reflected by ASP production plateaus at 100 μM palmitate.
“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.”
Quote in the paperNot a substantial claim - Findingown data
Metabolic flexibility, the insulin-stimulated change in RQ during clamp, is inversely related to percent body fat and fasting FFA levels.
“Metabolic flexibility, defined as the change in RQ during a clamp [∆RQ (clamp)], was negatively correlated with percent body fat and fasting FFA levels”
Quote in the paperSubstantial claim - Findingown data
In vitro, increasing extracellular glucose decreases fat oxidation as measured by 14CO2 and acid-soluble products.
“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).”
Quote in the paperSubstantial claim - Findingown data
In these subjects, insulin sensitivity is negatively correlated with fasting insulin and fasting FFA levels.
“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).”
Quote in the paperNot a substantial claim
- Findingown data
Basal fat oxidation is inversely correlated with the fold increase in fat oxidation.
“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).”
Quote in the paperSubstantial claim - Findingown data
The degree to which glucose suppresses 14CO2 production is positively related to its suppression of total palmitate oxidation.
“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).”
Quote in the paperSubstantial claim - Findingown data
For fold change of total palmitate oxidation, no significant relationship was found between the two in vitro assays.
“For fold change of TOx, no significant relationship was found between the results of the 2 assays.”
Quote in the paperNot a substantial claim - Findingown data
The in vitro-in vivo relationships for suppressibility were observed only for CO2, not for total fat oxidation.
“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)”
Quote in the paperSubstantial claim - Findingown data
Across all 16 subjects, the adaptability assay's fold rise in 14CO2 showed no significant association with the suppressibility assay's percent suppression of 14CO2.
“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.”
Quote in the paperSubstantial claim - Findingown data
In vitro adaptability (fold increase in 14CO2) is negatively correlated with body fat and waist circumference.
“A negative relationship was observed between body fat (r = -0.62;P = 0.01, Figure 3D) and a proxy of abdominal fatness, waist circumference (r = -0.4;P = 0.01).”
Quote in the paperSubstantial claim - Findingown data
Fold increase in total palmitate oxidation in vitro is significantly negatively correlated with waist circumference and fasting insulin.
“The relationships between fold increase in TOx and waist circumference or fasting insulin level were statistically significant (r = -0.34,P = 0.02 and r = -0.55,P = 0.027, respectively).”
Quote in the paperSubstantial claim - Findingown data
In vitro glucose suppressibility (percent suppression of 14CO2) is inversely correlated with in vivo metabolic flexibility (∆RQ clamp) and insulin sensitivity.
“It was inversely correlated with in vivo metabolic flexibility [as indicated by ∆RQ (clamp)] (r = -0.61;P = 0.007) and IS (as measured by clamp) (r = -0.60;P = 0.007)”
Quote in the paperSubstantial claim - Findingown data
The inverse correlation between suppressibility and insulin sensitivity remained significant after adjustment for fat mass.
“The inverse correlation between suppressibility and IS remained significant after IS was adjusted for fat mass (r = -0.47;P = 0.04).”
Quote in the paperSubstantial claim - Findingown data
Fold increase in total palmitate oxidation in vitro has a weaker, non-significant relationship with body fat.
“Weaker relationships were found between the fold increase in TOx in vitro and level of body fat (r = -0.37;P = 0.1).”
Quote in the paperNot a substantial claim - Findingown data
In both assays, 14CO2 represented 10-30% of total fat oxidation.
“For both assays, 14 CO 2 represented 10-30% of the total FOx”
Quote in the paperNot a substantial claim - Findingown data
The relationship between adaptability and insulin sensitivity was blunted after adjustment for body fat.
“However, the relationship between adaptability and IS was blunted after IS was adjusted for body fat (P = 0.58).”
Quote in the paperSubstantial claim - Findingown data
Fold increase in 14CO2 in vitro is highly negatively correlated with fasting insulin in vivo.
“A highly significant correlation was observed between the fold increase in 14 CO 2 in vitro and fasting insulin in vivo (r = -0.81;P = 0.0002; Figure 3E).”
Quote in the paperSubstantial claim - Findingown data
After excluding one subject with a value greater than 3 SDs from the mean, a significant negative correlation was present between fold increase in 14CO2 and percent suppression of 14CO2 (r = -0.46, P = 0.048, n = 15).
“However, a significant correlation was present after 1 subject was eliminated with a value greater than 3 SDs away from the mean of the remaining subjects (r = -0.46;P = 0.048; n = 15).”
Quote in the paperSubstantial claim - Findingown data
The extent to which glucose suppressed fat oxidation in vitro varied substantially among individuals.
“Importantly, we found substantial interindividual differences in the magnitude of glucose suppression of FOx in vitro.”
Quote in the paperSubstantial claim - Findingown data
The maximal 14CO2 fat oxidation rate was 0.57 ± 0.43 nmol per 3 hours per mg protein.
“Maximal 14 CO2 | 0.57 ± 0.43 | 0.15-1.96”
Quote in the paperNot a substantial claim - Findingown data
In vitro suppressibility, measured as percent suppression of 14CO2, correlates negatively with the clamp ∆RQ (r = -0.61).
“r = 0.12 r = -0.61 A r = -0.05 | r = -0.60 A r = 0.11 | r = 0.56 A r = -0.44 r = 0.58 A | r = 0.35”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro adaptability correlates positively with VO2max (r = 0.70).
“r = -0.25 r = 0.53 A r = -0.30 | r = 0.60 A r = -0.39 A r = -0.62 A r = 0.70 B r = -0.41 r = -0.81 B”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro parameters of metabolic switching correlate with clinical phenotypes of the subjects.
“Parameters of metabolic switching in vitro correlate with clinical phenotypes of subjects”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro suppressibility correlates positively with body fat percentage (r = 0.56).
“r = 0.12 r = -0.61 A r = -0.05 | r = -0.60 A r = 0.11 | r = 0.56 A r = -0.44 r = 0.58 A | r = 0.35”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vivo insulin responsiveness rises as in vitro adaptability increases.
“According to our studies, in vivo insulin responsiveness increases with increasing in vitro adaptability, which indicates a greater capacity to increase FOx in subjects with higher IS.”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
Fat oxidation showed a dose response to increasing palmitate concentration in the adaptability assay.
“Dose response of FOx (measured by14 CO2 production) to an increasing palmitate concentration (adaptability).”
Quote in the paperNot a substantial claim - Findingown data
In vitro suppressibility correlates positively with fasting free fatty acids (r = 0.58).
“r = 0.12 r = -0.61 A r = -0.05 | r = -0.60 A r = 0.11 | r = 0.56 A r = -0.44 r = 0.58 A | r = 0.35”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro suppressibility correlates negatively with insulin sensitivity (r = -0.60).
“r = 0.12 r = -0.61 A r = -0.05 | r = -0.60 A r = 0.11 | r = 0.56 A r = -0.44 r = 0.58 A | r = 0.35”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro adaptability, measured as fold increase in 14CO2 with palmitate, correlates positively with the clamp ∆RQ (r = 0.53).
“r = -0.25 r = 0.53 A r = -0.30 | r = 0.60 A r = -0.39 A r = -0.62 A r = 0.70 B r = -0.41 r = -0.81 B”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
Fat oxidation showed a dose response to increasing glucose concentration in the suppressibility assay.
“Dose response of FOx (measured by14 CO2 production) to an increasing glucose concentration (suppressibility).”
Quote in the paperSubstantial claim - Findingown data
The suppressed 14CO2 fat oxidation rate was 0.24 ± 0.18 nmol per 3 hours per mg protein.
“Suppressed 14 CO2 | 0.24 ± 0.18 | 0.07-0.82”
Quote in the paperNot a substantial claim - Findingown data
In vitro adaptability correlates negatively with fasting insulin (r = -0.81).
“r = -0.25 r = 0.53 A r = -0.30 | r = 0.60 A r = -0.39 A r = -0.62 A r = 0.70 B r = -0.41 r = -0.81 B”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vitro suppressibility was 58.72 ± 10.18 percent suppression.
“% Suppression of 14 CO2 | 58.72 ± 10.18 40.0-81.37”
Quote in the paperNot a substantial claim - Findingown data
In vitro adaptability correlates positively with insulin sensitivity (r = 0.60).
“r = -0.25 r = 0.53 A r = -0.30 | r = 0.60 A r = -0.39 A r = -0.62 A r = 0.70 B r = -0.41 r = -0.81 B”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Rests on an assumption: The in vitro adaptability assay measures the capacity of myotubes to increase fat oxidation in a way that reflects in vivo adaptability.
- Findingown data
In vivo insulin responsiveness declines as in vitro suppressibility increases.
“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.”
Quote in the paperSubstantial claim- Rests on an assumption: The in vitro suppressibility assay in insulin-free medium measures the same process as in vivo insulin responsiveness.
- Findingown data
In vitro adaptability was 3.19 ± 0.76 fold increase.
“Fold increase in 14 CO2 | 3.19 ± 0.76 | 2.99-4.87”
Quote in the paperNot a substantial claim - Findingown data
The 14CO2 fat oxidation rate at 100 μM palmitate was 1.27 ± 0.7 nmol per 3 hours per mg protein.
“14 CO2 at 100 µM palmitate | 1.27 ± 0.7 | 0.67-3.37”
Quote in the paperNot a substantial claim - Interpretationreasoning
Problems with metabolic switching could be an early cause in the emergence of obesity and insulin resistance.
“which suggests that defects in metabolic switching might be one of the primary events in the development of obesity and insulin resistance.”
Quote in the paperSubstantial claim- Rests on an assumption: In vitro intrinsic defects in metabolic switching reflect processes that contribute to obesity and insulin resistance in vivo.
- Interpretationown data
Muscle cells can express the metabolic-switching phenotype without insulin.
“our results from cells incubated in an insulin-free medium demonstrate that insulin is not needed for the expression of the metabolic switching phenotype in muscle cells.”
Quote in the paperSubstantial claim- 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.
- Interpretationown data
Most palmitate underwent β-oxidation to acid-soluble intermediate metabolites.
“which indicates that the majority of palmitate was processed through β-oxidation to intermediate metabolites (ASPs).”
Quote in the paperNot a substantial claim - Interpretationown data
In vitro results demonstrate that glucose suppresses fat oxidation in the absence of insulin.
“Our in vitro results demonstrate that glucose suppresses FOx in the absence of insulin.”
Quote in the paperSubstantial claim- 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.
- Interpretationreasoning
Changes in CO2 output align more closely with clinical traits than changes in intermediate fat-oxidation metabolites do.
“Moreover, the change in CO 2 production correlates better with clinical phenotypes than does the change in production of intermediate metabolites of FOx.”
Quote in the paperSubstantial claim - Interpretationreasoning
Myotubes retained the characteristics of the donor.
“Myotubes retained the characteristics of the donor.”
Quote in the paperSubstantial claim- Rests on an assumption: The donor's metabolic phenotype is stable and captured well enough by the measured in vivo traits.
- Interpretationown data
This finding backs the idea that metabolic switching is an inherent property of skeletal muscle.
“which supports the hypothesis that metabolic switching is an intrinsic property of skeletal muscle.”
Quote in the paperSubstantial claim- 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.
- Premisecitation
A lower rate of fat oxidation, indicated by a higher respiratory quotient, predicts future weight gain.
“Zurlo (8) and others (9)(10)(11) showed that decreased fat oxidation (FOx) (represented by a higher respiratory quotient [RQ], the ratio of CO 2 produced to O 2 consumed) is a predictor of weight gain”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Zurlo (8) Zurlo, 1990, Am. J. Physiol.
Not checked in the free run.
- cites (9)(10)(11)
Not checked in the free run.
- Study design and conductown data
Both fat oxidation assays were highly reproducible when performed on two different occasions in a random subset of 7 or 8 subjects.
“Both FOx assays were performed on 2 different occasions, in a random subset of the whole population (n = 7 or 8).Results for both parameters of metabolic switching, suppressibility and adaptability, were highly reproducible”
Quote in the paperSubstantial claim - Interpretationown data
Human myotubes removed from neuroendocrine influence kept the between-person variation seen in metabolic phenotypes.
“The interindividual variability in metabolic phenotypes was preserved in human myotubes separated from their neuroendocrine environment”
Quote in the paperSubstantial claim- 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.
- Interpretationown data
Among young healthy people, variation in fat-oxidation dynamics mirrors the donor's metabolic profile.
“Our results suggest that differences in the dynamics of FOx in young, healthy individuals mirror the metabolic characteristics of the donor.”
Quote in the paperSubstantial claim- Rests on an assumption: The donor's metabolic phenotype is stable and captured well enough by the measured in vivo traits.
- Premisecitation
In culture, muscle cells taken from insulin-resistant people stay insulin resistant.
“Muscle cells from insulin-resistant individuals remain insulin resistant in vitro (39-42)”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [39] Henry, 1996, Diabetes. source
Not checked in the free run.
- cites [40] Henry, 1995, Diabetes. source
Not checked in the free run.
- cites [41] Mott, 2000, Am. J. Physiol. Endocrinol. Metab. source
Not checked in the free run.
- cites [42] Gaster, 2004, Biochim. Biophys. Acta. source
Not checked in the free run.
- Interpretationreasoning
Skeletal muscle seems to contribute actively to obesity and insulin resistance rather than merely being affected by them.
“According to our observations, skeletal muscle does not appear to be an innocent bystander but rather an active participant in the pathogenesis of obesity and insulin resistance.”
Quote in the paperSubstantial claim- Rests on an assumption: In vitro intrinsic defects in metabolic switching reflect processes that contribute to obesity and insulin resistance in vivo.
- Interpretationreasoning
Metabolic switching is partly an inherent property of skeletal muscle.
“This indicates that metabolic switching is, at least to a certain extent, an intrinsic characteristic of skeletal muscle”
Quote in the paperSubstantial claim- 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.
- Interpretationown data
The study's main result is that dynamic shifts in muscle-cell fat oxidation, taken as metabolic switching, mirror the donor's metabolic profile.
“The principal finding from this study is that metabolic switching, represented by dynamic changes in FOx in muscle cells, reflects the metabolic characteristics of the cells' donor.”
Quote in the paperSubstantial claim- 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.
- Interpretationown data
Adaptable cells have a greater capacity to raise fat oxidation when exposed to high palmitate than nonadaptable cells do.
“Metabolic adaptability: Adaptable cells possess a higher capacity to increase FOx when exposed to a high palmitate concentration compared with nonadaptable cells.”
Quote in the paperSubstantial claim - Interpretationown data
Changes in fat oxidation in vitro serve as a correlate of the clinical phenotype.
“Arrows indicate a dynamic change in FOx, representing an in vitro correlate to the clinical phenotype.”
Quote in the paperSubstantial claim - Interpretationreasoning
A greater capacity to increase fat oxidation is found in subjects with higher insulin sensitivity.
“According to our studies, in vivo insulin responsiveness increases with increasing in vitro adaptability, which indicates a greater capacity to increase FOx in subjects with higher IS.”
Quote in the paperSubstantial claim - Interpretationown data
In insulin-free medium, adaptable cells maintain a higher fat oxidation rate in the presence of glucose than nonadaptable cells do.
“Glucose suppressibility: In insulinfree medium, adaptable cells are able to maintain a relatively high rate of FOx in the presence of glucose compared with nonadaptable cells.”
Quote in the paperSubstantial claim
- May combine two claims. 13
- Classified as probably not a substantial claim. 7
- The quote only partly states this claim. 3
May combine two claims.
Findingown dataMetabolic flexibility (∆RQ clamp) is positively correlated with insulin sensitivity and VO2max.
“On the other hand, ∆RQ (clamp) correlated positively with IS and VO 2 max”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn healthy young men, insulin sensitivity measured by euglycemic hyperinsulinemic clamp is negatively correlated with percent body fat and positively correlated with maximal oxygen uptake.
“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)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFasting RQ during the clamp is not related to insulin sensitivity or percent body fat.
“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).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNeither percent suppression of 14CO2 nor percent suppression of total palmitate oxidation correlated with fasting RQ or 24-hour RQ in vivo.
“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.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBrief palmitate exposure raised myotube fat oxidation by roughly three- to fivefold, and the size of that rise tracked donor clinical phenotype.
“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.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn vitro suppressibility (percent suppression of 14CO2) is positively correlated with percent body fat and fasting FFA levels.
“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.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn vitro adaptability (fold increase in 14CO2) is positively correlated with in vivo metabolic flexibility (∆RQ clamp), insulin sensitivity, and aerobic capacity (VO2max).
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe 14CO2 fat oxidation rate at basal palmitate was 0.33 ± 0.25 nmol per 3 hours per mg protein.
“14 CO2 at basal palmitate | 0.33 ± 0.25 | 0.15-0.71”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Interpretationown dataIn both assays, CO2 output tracked clinical phenotypes more closely than ASP output did.
“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.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe data show an association between donor clinical traits and dynamic fat-oxidation changes in cultured myotubes, which backs the idea that metabolic switching is partly intrinsic to skeletal muscle.
“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.”
Quote in the paperSubstantial claim- 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.
May combine two claims.
Interpretationown dataGreater glucose suppression of fat oxidation indicates insulin resistance and metabolic inflexibility.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationRespiratory quotient was adjusted for energy balance.
“RQ were adjusted for energy balance as described previously (71).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] Nguyen, 2003, Med. Biol. Eng. Comput. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInsulin sensitivity, measured as glucose disposal rate, was adjusted for kilograms of lean body mass.
“Glucose disposal rate, a parameter of IS, was adjusted for kilograms of LBM.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Study design and conductown dataThe in vitro suppressibility and adaptability assays were run in duplicate, and results were normalized to protein content.
“All assays were performed in duplicate, and data were normalized to protein content.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataBody composition measurements had coefficients of variation of 0.8% for lean body mass, 1.6% for fat mass, and 1.7% for body fat percentage.
“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.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSkeletal muscle oxidative and fat-metabolism defects track closely with insulin sensitivity and are thought to help cause insulin resistance.
“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).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [1] Colberg, 1995, J. Clin. Invest. source
Not checked in the free run.
- cites [5] Kelley, 1999, Am. J. Physiol. source
Not checked in the free run.
- cites [12] Bruce, 2003, J. Clin. Endocrinol. Metab. source
Not checked in the free run.
- cites [13] Storlien, 2004, Proc. Nutr. Soc. source
Not checked in the free run.
- cites [14] Kelley, 2000, Diabetes. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Study design and conductown dataTotal daily energy expenditure and respiratory quotient measured in the respiratory chamber had coefficients of variation of 2% and 16%, respectively.
“Coefficients of variation for total daily energy expenditure and RQ are 2% and 16%, respectively.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataA semi-partial correlation was used to relate fold increase in fat oxidation to clinical characteristics while holding basal fat oxidation constant.
“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.”
Quote in the paperSubstantial 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 human myotubes, in vitro MetFlex-lip is directly correlated with the donor's in vivo insulin sensitivity (29).
“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]
Cross-sectional studies show that isolated muscle strips, tissue homogenates, or cultured myocytes from severely obese and/or diabetic humans oxidize fat more slowly than specimens from healthy controls.
“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]
Abnormal patterns of whole-body fuel use are intrinsic to skeletal muscle, as primary muscle cell cultures from insulin-resistant subjects retain them.
“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).”
The relationship between fasting RQ and insulin sensitivity has not always been observed.
“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]
Metabolic inflexibility to glucose and impaired glucose storage during a hyperinsulinemic clamp is consistently reported in insulin-resistant subjects.
“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 vitro suppressibility of fat oxidation was lower in subjects with higher whole body insulin sensitivity and higher metabolic flexibility to glucose.
“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]
A direct relationship between metabolic flexibility to glucose and glucose disposal rate is described.
“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]
Fat oxidation in response to palmitate is lower in myotubes from insulin-resistant vs. insulin-sensitive individuals.
“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]
The metabolic observations of testosterone are most likely attributed to testosterone-induced changes in lipid metabolism and/or altered postreceptor insulin signaling in muscle.
“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.”
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 · see citing works
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 · see citing works
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× · see citing works
“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 · see citing works
Cellular mechanisms of insulin resistance
Shulman, G. I. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10583 · Cited by 2,714 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 1,159 · see citing works
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 · see citing works
Fuel selection in human skeletal muscle in insulin resistance: a reexamination.
Kelley, D. E., & Mandarino, L. J. (2000) · Diabetes · doi:10.2337/diabetes.49.5.677 · Cited by 1,017 · see citing works
Relationships of generalized and regional adiposity to insulin sensitivity in men.
Abate, N., Garg, A., Peshock, R. M., Stray-Gundersen, J., & Grundy, S. M. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118083 · Cited by 759 · see citing works
Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ
ZURLO, F., Lillioja, S., Puente, A. E.-D., Nyomba, B. L. G., Raz, I., Saad, M. F., Swinburn, B. A., Knowler, W. C., Bogardus, C., & Ravussin, É. (1990) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1990.259.5.e650 · Cited by 704 · see citing works
Ceramide Content Is Increased in Skeletal Muscle From Obese Insulin-Resistant Humans
Adams, J. M., Pratipanawatr, T., Berria, R., Wang, E. L., DeFronzo, R. A., Sullards, M. C., & Mandarino, L. J. (2004) · Diabetes · doi:10.2337/diabetes.53.1.25 · Cited by 670 · see citing works
Lipid oxidation is reduced in obese human skeletal muscle
Kim, J.-Y., Hickner, R. C., Cortright, R. L., Dohm, G. L., & Houmard, J. A. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.279.5.e1039 · Cited by 634 · see citing works
Smith, S. R., Lovejoy, J. C., Greenway, F., Ryan, D. H., de Jonge, L., de la Bretonne, J. A., Volafova, J., & Bray, G. A. (2001) · Metabolism · doi:10.1053/meta.2001.21693 · Cited by 596 · see citing works
Self-citationHavel, P. J. (2002) · Current Opinion in Lipidology · doi:10.1097/00041433-200202000-00008 · Cited by 575 · see citing works
He, J., Watkins, S., & Kelley, D. E. (2001) · Diabetes · doi:10.2337/diabetes.50.4.817 · Cited by 518 · see citing works
Effects of fat on insulin-stimulated carbohydrate metabolism in normal men.
Boden, G., Jadali, F., White, J. V., Liang, Y. T., Mozzoli, M. A., Chen, X., Coleman, E., & Smith, C. R. (1991) · Journal of Clinical Investigation · doi:10.1172/jci115399 · Cited by 500 · see citing works
Impaired free fatty acid utilization by skeletal muscle in non-insulin-dependent diabetes mellitus.
Kelley, D. E., & Simoneau, J. A. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117600 · Cited by 487 · see citing works
Interaction between glucose and free fatty acid metabolism in human skeletal muscle.
Kelley, D. E., Mokáň, M., Simoneau, J. A., & Mandarino, L. J. (1993) · Journal of Clinical Investigation · doi:10.1172/jci116603 · Cited by 481 · see citing works
AMP kinase and malonyl-CoA: targets for therapy of the metabolic syndrome
Ruderman, N., & Prentki, M. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1344 · Cited by 451 · see citing works
Simoneau, J.-A., & Kelley, D. E. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.1.166 · Cited by 441 · see citing works
Bartlett, K., & Eaton, S. D. (2004) · European Journal of Biochemistry · doi:10.1046/j.1432-1033.2003.03947.x · Cited by 411 · see citing works
Isolation and characterization of human muscle cells.
Blau, H. M., & Webster, C. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.9.5623 · Cited by 408 · see citing works
Lipid overload and overflow: metabolic trauma and the metabolic syndrome
UNGER, R. (2003) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2003.09.008 · Cited by 399 · see citing works
Acetyl-CoA carboxylase regulation of fatty acid oxidation in the heart.
Saddik, M., Gamble, J., Witters, L. A., & Lopaschuk, G. D. (1993) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)74465-2 · Cited by 390 · see citing works
Abu-Elheiga, L., Oh, W., Kordari, P., & Wakil, S. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1733877100 · Cited by 389 · see citing works
Meigs, J. B., Muller, D. C., Nathan, D. M., Blake, D. R., & Andres, R. (2003) · Diabetes · doi:10.2337/diabetes.52.6.1475 · Cited by 339 · see citing works
Skeletal muscle lipid metabolism with obesity
Hulver, M. W., Berggren, J. R., Cortright, R. N., Dudek, R. W., Thompson, R. P., Pories, W. J., MacDonald, K. G., Cline, G. W., Shulman, G. I., Dohm, G. L., et al. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00514.2002 · Cited by 339 · see citing works
Fleming, T. P., Kwong, W. Y., Porter, R., Ursell, E., Fesenko, I., Wilkins, A., Miller, D. J., Watkins, A. J., & Eckert, J. J. (2004) · Biology of Reproduction · doi:10.1095/biolreprod.104.030957 · Cited by 330 · see citing works
Skeletal muscle utilization of free fatty acids in women with visceral obesity.
Colberg, S. R., Simoneau, J. A., Thaete, F. L., & Kelley, D. E. (1995) · Journal of Clinical Investigation · doi:10.1172/jci117864 · Cited by 320 · see citing works
Taylor, P. D., McConnell, J., Khan, I. Y., Holemans, K., Lawrence, K. M., Asare-Anane, H., Persaud, S. J., Jones, P. M., Petrie, L., Hanson, M. A., et al. (2005) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00355.2004 · Cited by 297 · see citing works
Storlien, L., Oakes, N. D., & Kelley, D. E. (2004) · Proceedings of the Nutrition Society · doi:10.1079/pns2004349 · Cited by 291 · see citing works
Thomas, C., Peters, J., Reed, G., Abumrad, N., Sun, M., & Hill, J. (1992) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/55.5.934 · Cited by 268 · see citing works
Nutritional influences on lipogenesis and thermogenesis after a carbohydrate meal
Acheson, K. J., Schutz, Y., Bessard, T., Ravussin, É., Jéquier, E., & Flatt, J. P. (1984) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1984.246.1.e62 · Cited by 254 · see citing works
Muscle Oxidative Capacity Is a Better Predictor of Insulin Sensitivity than Lipid Status
Bruce, C. R., Anderson, M. J., Carey, A. L., Newman, D. G., Bonen, A., Kriketos, A. D., Cooney, G. J., & Hawley, J. A. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030791 · Cited by 234 · see citing works
Henry, R. R., Abrams, L., Nikoulina, S., & Ciaraldi, T. P. (1995) · Diabetes · doi:10.2337/diab.44.8.936 · Cited by 233 · see citing works
Astrup, A., Buemann, B., Christensen, N. J., & Toubro, S. (1994) · American Journal of Physiology · doi:10.1152/ajpendo.1994.266.4.e592 · Cited by 231 · see citing works
Muoio, D. M., Way, J. M., Tanner, C. J., Winegar, D. A., Kliewer, S. A., Houmard, J. A., Kraus, W. E., & Dohm, G. L. (2002) · Diabetes · doi:10.2337/diabetes.51.4.901 · Cited by 226 · see citing works
Dietary fat intake and weight gain in women genetically predisposed for obesity
Heitmann, B. L., Lissner, L., Sørensen, T., & Bengtsson, C. (1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/61.6.1213 · Cited by 212 · see citing works
Heterogeneity of pig intestinal<scp>d</scp>-glucose transport systems
Halaihel, N., Gerbaud, D., Vasseur, M., & Alvarado, F. (1999) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1999.277.6.c1130 · Cited by 199 · see citing works
Reduced Lipid Oxidation in Skeletal Muscle From Type 2 Diabetic Subjects May Be of Genetic Origin
Gaster, M., Rustan, A. C., Aas, V., & Beck-Nielsen, H. (2004) · Diabetes · doi:10.2337/diabetes.53.3.542 · Cited by 176 · see citing works
Sidossis, L. S., & Wolfe, R. R. (1996) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1996.270.4.e733 · Cited by 168 · see citing works
Debard, C., Laville, M., Berbe, V., Loizon, E., Guillet, C., Morio, B., Boirie, Y., & Vidal, H. (2004) · Diabetologia · doi:10.1007/s00125-004-1394-7 · Cited by 145 · see citing works
Ciaraldi, T. P., Abrams, L., Nikoulina, S., Mudaliar, S., & Henry, R. R. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118352 · Cited by 124 · see citing works
Protein Kinase C and Lipid‐Induced Insulin Resistance in Skeletal Muscle
Schmitz‐Peiffer, C. (2002) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2002.tb04272.x · Cited by 122 · see citing works
Fat and carbohydrate balances during adaptation to a high-fat diet
Smith, S. R., de Jonge, L., Zachwieja, J. J., Roy, H. J., Nguyen, T., Rood, J. C., WINDHAUSER, M. M., & Bray, G. A. (2000) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/71.2.450 · Cited by 120 · see citing works
Self-citationTriglycerides, fatty acids and insulin resistance - hyperinsulinemia
Kraegen, E., Cooney, G., Ye, J., & Thompson, A. (2001) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-2001-15114 · Cited by 114 · see citing works
Effect of elevated free fatty acids on glucose oxidation in normal humans
Wolfe, B. M., Klein, S., Peters, E. J., Schmidt, B. F., & Wolfe, R. R. (1988) · Metabolism · doi:10.1016/0026-0495(88)90131-x · Cited by 110 · see citing works
Impaired postprandial glucose utilization in non-insulin-dependent diabetes mellitus
Kelley, D., Mokan, M., & Veneman, T. (1994) · Metabolism · doi:10.1016/0026-0495(94)90015-9 · Cited by 107 · see citing works
Metabolic predictors of obesity: cross-sectional versus longitudinal data.
Ravussin, É., & Swinburn, B. A. (1993) · PubMed · Cited by 105 · see citing works
Muscle malonyl-CoA decreases during exercise
Winder, W. W., AROGYASAMI, J., Barton, R. J., Elayan, I., & Vehrs, P. R. (1989) · Journal of Applied Physiology · doi:10.1152/jappl.1989.67.6.2230 · Cited by 91 · see citing works
Fat metabolism in formerly obese women
Ranneries, C., Bülow, J., Buemann, B., Christensen, N. J., Madsen, J., & Astrup, A. V. (1998) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.274.1.e155 · Cited by 91 · see citing works
Time course of exercise-induced decline in malonyl-CoA in different muscle types
Winder, W. W., AROGYASAMI, J., Elayan, I., & Cartmill, D. C. (1990) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1990.259.2.e266 · Cited by 83 · see citing works
Interaction of carbohydrate and fat fuels in human skeletal muscle: impact of obesity and NIDDM
Mandarino, L. J., Consoli, A., Jain, A., & Kelley, D. E. (1996) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1996.270.3.e463 · Cited by 83 · see citing works
Concurrent physical activity increases fat oxidation during the shift to a high-fat diet
Smith, S. R., de Jonge, L., Zachwieja, J. J., Roy, H., Nguyen, T., Rood, J., Windhauser, M., Volaufova, J., & Bray, G. A. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.1.131 · Cited by 81 · see citing works
Self-citationFatty acid oxidation and the regulation of malonyl-CoA in human muscle.
Båvenholm, P., Pigon, J., Saha, A. K., Ruderman, N. B., & Efendić, S. (2000) · Diabetes · doi:10.2337/diabetes.49.7.1078 · Cited by 80 · see citing works
Sarcomere dynamics during isotonic velocity transients in single frog muscle fibers
Granzier, H. L. M., MATTIAZZI, A. R., & Pollack, G. H. (1990) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1990.259.2.c266 · Cited by 79 · see citing works
Substrate oxidation, obesity and exercise training
Blaak, E. E., & Saris, W. H. M. (2002) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1053/beem.2002.0226 · Cited by 66 · see citing works
Fasting respiratory quotient as a predictor of weight changes in non-obese women
Marra, M., Scalfi, L., Covino, A., Puente, A. E.-D., & Contaldo, F. (1998) · International Journal of Obesity · doi:10.1038/sj.ijo.0800612 · Cited by 65 · see citing works
Henry, R. R., Ciaraldi, T. P., Mudaliar, S., Abrams, L., & Nikoulina, S. E. (1996) · Diabetes · doi:10.2337/diab.45.4.400 · Cited by 61 · see citing works
Båvenholm, P., Kuhl, J., Pigon, J., Saha, A. K., Ruderman, N. B., & Efendić, S. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-020330 · Cited by 58 · see citing works
Abdel-aleem, S. (1996) · Journal of Molecular and Cellular Cardiology · doi:10.1006/jmcc.1996.0077 · Cited by 57 · see citing works
Blaak, E. E., & Wagenmakers, A. J. M. (2002) · Diabetes · doi:10.2337/diabetes.51.3.784 · Cited by 51 · see citing works
Substrate utilization in man: Effects of dietary fat and carbohydrate
de Venne, W. P. H. G. V., Westerterp, K. R., & ten Hoor, F. (1994) · Metabolism · doi:10.1016/0026-0495(94)90237-2 · Cited by 48 · see citing works
Nguyen, T., de Jonge, L., Smith, S. R., & Bray, G. A. (2003) · Medical and Biological Engineering and Computing · doi:10.1007/bf02345320 · Cited by 47 · see citing works
Self-citationRaben, A., Mygind, E., & Astrup, A. V. (1998) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.275.3.e487 · Cited by 41 · see citing works
Determinants of insulin-stimulated glucose disposal in middle-aged, premenopausal women
Toth, M. J., Sites, C. K., Cefalu, W. T., Matthews, D. E., & Poehlman, É. T. (2001) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2001.281.1.e113 · Cited by 41 · see citing works
Gaster, M., & Beck-Nielsen, H. (2004) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2004.05.006 · Cited by 38 · see citing works
Stuart, C. A., Wen, G., Williamson, M. E., Jiang, J., Gilkison, C. R., Blackwell, S. J., Nagamani, M., & Ferrando, A. A. (2001) · Metabolism · doi:10.1053/meta.2001.24202 · Cited by 31 · see citing works
Glucose Transport in Cultured Human Skeletal Muscle Cells
Ciaraldi, T. P., Abrams, L., Nikoulina, S. E., Mudaliar, S. R. D., & Henry, R. R. (1995) · Cited by 28 · see citing works
Buemann, B., Toubro, S., & Astrup, A. V. (1998) · International Journal of Obesity · doi:10.1038/sj.ijo.0800674 · Cited by 21 · see citing works
Muscle mitochondrial morphology, body composition, and energy expenditure in sedentary individuals
Kirkwood, S. P., ZURLO, F., Larson, K., & Ravussin, É. (1991) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1991.260.1.e89 · Cited by 21 · see citing works
Skeletal muscle enzymes as predictors of 24-h energy metabolism in reduced-obese persons
Doucet, É., Tremblay, A., Simoneau, J., & Joanisse, D. R. (2003) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.3.430 · Cited by 20 · see citing works
Kleiber, H., Munger, R., Jallut, D., Tappy, L., Felley, C. P., Golay, A., Frascarolo, P., Jéquier, E., & Felber, J. P. (1992) · PubMed · Cited by 16 · see citing works
Mott, D. M., Hoyt, C., Caspari, R., Stone, K., Pratley, R., & Bogardus, C. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.279.3.e561 · Cited by 13 · see citing works
Oakes, N. D., Ljung, B., & Camejo, G. (2002) · Europe PMC (PubMed Central) · Cited by 5 · see citing works
Impact of Maternal Diet on Reproductive Outcome: Foreword
Roberts, R. M. (2004) · Biology of Reproduction · doi:10.1095/biolreprod.104.034835 · Cited by 1 · see citing works
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
Cited by
Sorted by citations
Metabolic Flexibility in Health and Disease
Goodpaster, B. H., & Sparks, L. M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.015 · Cited by 995 · see citing works
Calorie Restriction Increases Muscle Mitochondrial Biogenesis in Healthy Humans
Civitarese, A. E., Carling, S., Heilbronn, L. K., Hulver, M. H., Ukropcova, B., Deutsch, W. A., Smith, S. R., & Ravussin, E. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040076 · Cited by 790 · see citing works
Self-citationReduced Adipose Tissue Oxygenation in Human Obesity
Pasarica, M., Sereda, O. R., Redman, L. M., Albarado, D. C., Hymel, D. T., Roan, L. E., Rood, J. C., Burk, D. H., & Smith, S. R. (2009) · Diabetes · doi:10.2337/db08-1098 · Cited by 786 · see citing works
Self-citationAdams, S. H., Hoppel, C. L., Lok, K. H., Zhao, L., Wong, S. W., Minkler, P. E., Hwang, D. H., Newman, J. W., & Garvey, W. T. (2009) · The Journal of Nutrition · doi:10.3945/jn.108.103754 · Cited by 598 · see citing works
Metabolic flexibility and insulin resistance
Galgani, J. E., Moro, C., & Ravussin, E. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90558.2008 · Cited by 532 · see citing works
Kurdiova, T., Balaz, M., Vician, M., Maderova, D., Vlcek, M., Valkovic, L., Srbecky, M., Imrich, R., Kyselovicova, O., Belan, V., et al. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2013.264655 · Cited by 401 · see citing works
Bjørndal, B., Burri, L., Staalesen, V., Skorve, J., & Berge, R. K. (2011) · Journal of Obesity · doi:10.1155/2011/490650 · Cited by 372 · see citing works
Dietary Sugars Stimulate Fatty Acid Synthesis in Adults3
Parks, E. J., Skokan, L. E., Timlin, M. T., & Dingfelder, C. S. (2008) · Journal of Nutrition · doi:10.1093/jn/138.6.1039 · Cited by 315 · see citing works
Skeletal muscle fat oxidation: Timing and flexibility are everything
Kelley, D. E. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25758 · Cited by 298 · see citing works
Skeletal muscle NAMPT is induced by exercise in humans
Costford, S. R., Bajpeyi, S., Pasarica, M., Albarado, D. C., Thomas, S. C., Xie, H., Church, T. S., Jubrias, S. A., Conley, K. E., & Smith, S. R. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00318.2009 · Cited by 297 · see citing works
Self-citationMartins, A. R., Nachbar, R. T., Gorjão, R., Vinolo, M. A. R., Festuccia, W. T., Lambertucci, R. H., Cury‐Boaventura, M. F., Silveira, L. R., Curi, R., & Hirabara, S. M. (2012) · Lipids in Health and Disease · doi:10.1186/1476-511x-11-30 · Cited by 288 · see citing works
Aguer, C., Gambarotta, D., Mailloux, R. J., Moffat, C., Dent, R., McPherson, R., & Harper, M.-E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028536 · Cited by 276 · see citing works
Acylcarnitines: potential implications for skeletal muscle insulin resistance
Aguer, C., McCoin, C. S., Knotts, T. A., Thrush, A. B., Ono‐Moore, K. D., McPherson, R., Dent, R., Hwang, D. H., Adams, S. H., & Harper, M. (2014) · The FASEB Journal · doi:10.1096/fj.14-255901 · Cited by 243 · see citing works
Role of adiponectin in human skeletal muscle bioenergetics
Civitarese, A. E., Ukropcova, B., Carling, S., Hulver, M., DeFronzo, R. A., Mandarino, L., Ravussin, E., & Smith, S. R. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.05.002 · Cited by 234 · see citing works
Self-citationOnset of effects of testosterone treatment and time span until maximum effects are achieved
Saad, F., Aversa, A., Isidori, A. M., Zafalon, L., Zitzmann, M., & Gooren, L. (2011) · European Journal of Endocrinology · doi:10.1530/eje-11-0221 · Cited by 232 · see citing works
Smith, J. J., Kenney, R. D., Gagne, D. J., Frushour, B. P., Ladd, W., Galonek, H. L., Israelian, K., Song, J. J., Razvadauskaite, G., Lynch, A. V., et al. (2009) · BMC Systems Biology · doi:10.1186/1752-0509-3-31 · Cited by 210 · see citing works
Skeletal muscle insulin resistance: roles of fatty acid metabolism and exercise
Turcotte, L. P., & Fisher, J. S. (2008) · Physical Therapy · doi:10.2522/ptj.20080018 · Cited by 209 · see citing works
Type 2 Diabetes Mellitus and Skeletal Muscle Metabolic Function
Phielix, E., & Mensink, M. (2008) · Physiology & Behavior · doi:10.1016/j.physbeh.2008.01.020 · Cited by 198 · see citing works
Muscle Lipid Metabolism: Role of Lipid Droplets and Perilipins
Morales, P. E., Bucarey, J. L., & Espinosa, A. (2017) · Journal of Diabetes Research · doi:10.1155/2017/1789395 · Cited by 171 · see citing works
Nikolić, N., Bakke, S. S., Kase, E. T., Rudberg, I., Halle, I. F., Rustan, A. C., Thoresen, G. H., & Aas, V. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033203 · Cited by 164 · see citing works
Ukropcova, B., Sereda, O., de Jonge, L., Bogacka, I., Nguyen, T., Xie, H., Bray, G. A., & Smith, S. R. (2007) · Diabetes · doi:10.2337/db06-0521 · Cited by 165 · see citing works
Self-citationIs mitochondrial dysfunction a cause of insulin resistance?
Turner, N. A., & Heilbronn, L. K. (2008) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2008.08.001 · Cited by 163 · see citing works
Chomentowski, P., Coen, P. M., Radiková, Z., Goodpaster, B. H., & Toledo, F. G. S. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0822 · Cited by 163 · see citing works
Oishi, Y., Manabe, I., Tobe, K., Ohsugi, M., Kubota, T., Fujiu, K., Maemura, K., Kubota, N., Kadowaki, T., & Nagai, R. (2008) · Nature Medicine · doi:10.1038/nm1756 · Cited by 159 · see citing works
Skeletal muscle energy metabolism in obesity
Mengeste, A. M., Rustan, A. C., & Lund, J. (2021) · Obesity · doi:10.1002/oby.23227 · Cited by 141 · see citing works
Bogacka, I., Ukropcova, B., McNeil, M., Gimble, J. M., & Smith, S. R. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1024 · Cited by 138 · see citing works
Self-citationIntramuscular triacylglycerol and insulin resistance: guilty as charged or wrongly accused?
Muoio, D. M. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2009.11.007 · Cited by 137 · see citing works
Effects of cannabinoid receptors on skeletal muscle oxidative pathways
Cavuoto, P., McAinch, A. J., Hatzinikolas, G., Cameron‐Smith, D., & Wittert, G. (2006) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2006.12.038 · Cited by 137 · see citing works
Bosma, M., Sparks, L. M., Hooiveld, G. J. E. J., Jörgensen, J. A., Houten, S. M., Schrauwen, P., Kersten, S., & Hesselink, M. K. C. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2013.01.007 · Cited by 135 · see citing works
Galgani, J. E., Heilbronn, L. K., Azuma, K., Kelley, D. E., Albu, J. B., Pi-Sunyer, X., Smith, S. R., Ravussin, E., & and the Look AHEAD Adipose Research Group (2008) · Diabetes · doi:10.2337/db08-0043 · Cited by 133 · see citing works
Self-citationAltered Skeletal Muscle Lipase Expression and Activity Contribute to Insulin Resistance in Humans
Badin, P.-M., Louche, K., Mairal, A., Liebisch, G., Schmitz, G., Rustan, A. C., Smith, S. R., Langin, D., & Moro, C. (2011) · Diabetes · doi:10.2337/db10-1364 · Cited by 132 · see citing works
Self-citationSparks, L. M., Johannsen, N. M., Church, T. S., Earnest, C. P., Moonen-Kornips, E., Moro, C., Hesselink, M. K. C., Smith, S. R., & Schrauwen, P. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-3874 · Cited by 123 · see citing works
Self-citationIntramuscular lipid oxidation and obesity
Houmard, J. A. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00396.2007 · Cited by 118 · see citing works
Most, J., Timmers, S., Warnke, I., Jocken, J. W. E., Boekschoten, M. V., de Groot, P., Bendik, I., Schrauwen, P., Goossens, G. H., & Blaak, E. E. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.122937 · Cited by 118 · see citing works
Steinberg, G. R., McAinch, A. J., Chen, M. B., O’Brien, P. E., Dixon, J. B., Cameron‐Smith, D., & Kemp, B. E. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0638 · Cited by 114 · see citing works
Aguer, C., Mercier, J. G., Man, C. Y. W., Metz, L., Bordenave, S., Lambert, K., Jean, E., Lantier, L., Bounoua, L., Brun, J. ‐., et al. (2010) · Diabetologia · doi:10.1007/s00125-010-1708-x · Cited by 110 · see citing works
Ellis, C. L., Edirisinghe, I., Kappagoda, T. C., & Burton‐Freeman, B. M. (2011) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.6114 · Cited by 109 · see citing works
Insulin-sensitive obesity in humans – a ‘favorable fat’ phenotype?
Samocha‐Bonet, D., Chisholm, D. J., Tonks, K. T. T., Campbell, L. V., & Greenfield, J. R. (2012) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2011.12.005 · Cited by 107 · see citing works
Cell-based multiwell assays for the detection of substrate accumulation and oxidation
Wensaas, A. J., Rustan, A. C., Lövstedt, K., Kull, B., Wikström, S., Drevon, C. A., & Hallén, S. (2007) · Journal of Lipid Research · doi:10.1194/jlr.d600047-jlr200 · Cited by 108 · see citing works
Lifestyle intervention in individuals with normal versus impaired glucose tolerance
Schäfer, S., Kantartzis, K., Machann, J., Venter, C., Niess, A. M., Schick, F., Machicao, F. E., Häring, H.-U., Fritsche, A., & Stefan, N. (2007) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2007.01820.x · Cited by 107 · see citing works
Impaired skeletal muscle substrate oxidation in glucose-intolerant men improves after weight loss
Corpeleijn, E., Mensink, M., Kooi, M. E., Roekaerts, P. M. H. J., Saris, W. H. M., & Blaak, E. E. (2008) · Obesity · doi:10.1038/oby.2008.24 · Cited by 104 · see citing works
Are cultured human myotubes far from home?
Aas, V., Bakke, S. S., Feng, Y., Kase, E. T., Jensen, J., Bajpeyi, S., Thoresen, G. H., & Rustan, A. C. (2013) · Cell and Tissue Research · doi:10.1007/s00441-013-1655-1 · Cited by 102 · see citing works
Stephens, N. A., & Sparks, L. M. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-2545 · Cited by 97 · see citing works
Fat Oxidation before and after a High Fat Load in the Obese Insulin-Resistant State
Blaak, E. E., Hul, G., Verdich, C., Stich, V., Martinez, A., Petersen, M., Feskens, E. F. M., Patel, K., Oppert, J. M., Barbe, P., et al. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1598 · Cited by 97 · see citing works
Civitarese, A. E., MacLean, P. S., Carling, S., Kerr-Bayles, L., McMillan, R. P., Pierce, A., Becker, T. C., Moro, C., Finlayson, J., Lefort, N., et al. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2010.04.004 · Cited by 95 · see citing works
Self-citationLaurens, C., Bourlier, V., Mairal, A., Louche, K., Badin, P.-M., Mouisel, É., Montagner, A., Marette, A., Tremblay, A., Weisnagel, J. S., et al. (2016) · Scientific Reports · doi:10.1038/srep38310 · Cited by 92 · see citing works
Cavaliere, G., Cimmino, F., Trinchese, G., Catapano, A., Petrella, L., D’Angelo, M., Lucchin, L., & Mollica, M. P. (2023) · Antioxidants · doi:10.3390/antiox12061172 · Cited by 97 · see citing works
Garneau, L., & Aguer, C. (2019) · Diabetes & Metabolism · doi:10.1016/j.diabet.2019.02.006 · Cited by 92 · see citing works
Insulin Resistance in Type 1 Diabetes: Pathophysiological, Clinical, and Therapeutic Relevance
Apostolopoulou, M., Lambadiari, V., Roden, M., & Dimitriadis, G. D. (2025) · Endocrine Reviews · doi:10.1210/endrev/bnae032 · Cited by 90 · see citing works
Malin, S. K., Haus, J. M., Solomon, T. P. J., Blaszczak, A., Kashyap, S. R., & Kirwan, J. P. (2013) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00441.2013 · Cited by 89 · see citing works
Mitochondrial lipid oxidation is impaired in cultured myotubes from obese humans
Boyle, K. E., Zheng, D., Anderson, E. J., Neufer, P. D., & Houmard, J. A. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.201 · Cited by 88 · see citing works
AMPK‐dependent hormonal regulation of whole‐body energy metabolism
Dzamko, N. L., & Steinberg, G. R. (2009) · Acta Physiologica · doi:10.1111/j.1748-1716.2009.01969.x · Cited by 88 · see citing works
Defective Natriuretic Peptide Receptor Signaling in Skeletal Muscle Links Obesity to Type 2 Diabetes
Coué, M., Badin, P.-M., Vila, I. K., Laurens, C., Louche, K., Marqués, M.-A., Bourlier, V., Mouisel, É., Tavernier, G., Rustan, A. C., et al. (2015) · Diabetes · doi:10.2337/db15-0305 · Cited by 87 · see citing works
Self-citationLow Physical Activity and Obesity
Telford, R. D. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31806215b7 · Cited by 82 · see citing works
Rosenkilde, M., Nordby, P., Nielsen, L., Stallknecht, B., & Helge, J. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.11 · Cited by 79 · see citing works
Boyle, K. E., Canham, J. P., Consitt, L. A., Zheng, D., Koves, T. R., Gavin, T. P., Holbert, D., Neufer, P. D., Ilkayeva, O., Muoio, D. M., et al. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2253 · Cited by 79 · see citing works
Boyle, K. E., Patinkin, Z. W., Shapiro, A. L. B., Bader, C., Vanderlinden, L. A., Kechris, K. J., Janssen, R. C., Ford, R. J., Smith, B. K., Steinberg, G. R., et al. (2017) · Molecular Metabolism · doi:10.1016/j.molmet.2017.08.012 · Cited by 74 · see citing works
Metabolic switching of human myotubes is improved by n-3 fatty acids
Hessvik, N. P., Bakke, S. S., Fredriksson, K., Boekschoten, M. V., Fj⊘rkenstad, A., Koster, G., Hesselink, M. K., Kersten, S., Kase, E. T., Rustan, A. C., et al. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m003319 · Cited by 71 · see citing works
Mitochondrial fitness and insulin sensitivity in humans
Szendroedi, J., & Roden, M. (2008) · Diabetologia · doi:10.1007/s00125-008-1153-2 · Cited by 71 · see citing works
Altered skeletal muscle glucose–fatty acid flux in amyotrophic lateral sclerosis
Steyn, F. J., Li, R., Kirk, S. E., Tefera, T. W., Xie, T. Y., Tracey, T. J., Kelk, D., Wimberger, E., Garton, F. C., Roberts, L. A., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa154 · Cited by 67 · see citing works
Donkor, J., Sparks, L. M., Xie, H., Smith, S. R., & Reue, K. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1535 · Cited by 65 · see citing works
Self-citationRemodeling Lipid Metabolism and Improving Insulin Responsiveness in Human Primary Myotubes
Sparks, L. M., Moro, C., Ukropcová, B., Bajpeyi, S., Civitarese, A. E., Hulver, M. W., Thoresen, G. H., Rustan, A. C., & Smith, S. R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021068 · Cited by 61 · see citing works
Self-citationAssay of the Multiple Energy-Producing Pathways of Mammalian Cells
Bochner, B. R., Siri, M., Huang, R. H., Noble, S., Lei, X.-H., Clemons, P. A., & Wagner, B. K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018147 · Cited by 62 · see citing works
Relation of adipose tissue to metabolic flexibility
Sparks, L. M., Ukropcová, B., Smith, J. M., Pasarica, M., Hymel, D., Xie, H., Bray, G. A., Miles, J. M., & Smith, S. R. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2008.09.052 · Cited by 61 · see citing works
Self-citationTsilingiris, D., Tzeravini, E., Koliaki, C. C., Dalamaga, Μ., & Kokkinos, A. D. (2021) · Current Obesity Reports · doi:10.1007/s13679-021-00434-0 · Cited by 60 · see citing works
Consitt, L. A., Bell, J. A., Koves, T. R., Muoio, D. M., Hulver, M. W., Haynie, K. R., Dohm, G. L., & Houmard, J. A. (2010) · Diabetes · doi:10.2337/db09-1704 · Cited by 61 · see citing works
Wang, Z. Q., Ribnicky, D., Zhang, X. H., Raskin, I., Yu, Y., & Cefalu, W. T. (2008) · Metabolism · doi:10.1016/j.metabol.2008.04.003 · Cited by 78 · see citing works
Jiang, L. Q., García-Rovés, P. M., Barbosa, T. D. C., & Zierath, J. R. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00403.2009 · Cited by 57 · see citing works
Zhang, J., Light, A. R., Hoppel, C. L., Campbell, C., Chandler, C., Burnett, D. J., Souza, E. C., Casazza, G., Hughen, R. W., Keim, N., et al. (2016) · Experimental Physiology · doi:10.1113/ep086019 · Cited by 54 · see citing works
Branched-chain ketoacid overload inhibits insulin action in the muscle
Biswas, D., Dao, K. T., Mercer, A., Cowie, A. M., Duffley, L., Hiani, Y. E., Kienesberger, P. C., & Pulinilkunnil, T. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.013121 · Cited by 57 · see citing works
Muscular mitochondrial dysfunction and type 2 diabetes mellitus
Schrauwen‐Hinderling, V. B., Roden, M., Kooi, M. E., Hesselink, M. K. C., & Schrauwen, P. (2007) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e3282f0eca9 · Cited by 56 · see citing works
High respiratory quotient is associated with increases in body weight and fat mass in young adults
Shook, R. P., Hand, G. A., Paluch, A. E., Wang, X., Moran, R., Hébert, J. R., Jakicic, J. M., & Blair, S. N. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2015.198 · Cited by 57 · see citing works
Tiraby, C., Tavernier, G., Capel, F., Mairal, A., Crampes, F., RAMI, J., Pujol, C., Boutin, J. A., & Langin, D. (2007) · Diabetologia · doi:10.1007/s00125-007-0765-2 · Cited by 56 · see citing works
Utilization of lactic acid in human myotubes and interplay with glucose and fatty acid metabolism
Lund, J., Aas, V., Tingstad, R. H., Hees, A. V., & Nikolić, N. (2018) · Scientific Reports · doi:10.1038/s41598-018-28249-5 · Cited by 53 · see citing works
Regulation of skeletal muscle lipolysis and oxidative metabolism by the co-lipase CGI-58
Badin, P.-M., Loubière, C., Coonen, M. L. J., Louche, K., Tavernier, G., Bourlier, V., Mairal, A., Rustan, A. C., Smith, S. R., Langin, D., et al. (2012) · Journal of Lipid Research · doi:10.1194/jlr.m019182 · Cited by 52 · see citing works
Self-citationChow, L. S., From, A. H. L., & Seaquist, E. R. (2009) · Metabolism · doi:10.1016/j.metabol.2009.07.009 · Cited by 53 · see citing works
Kurdiová, T., Baláž, M., Mayer, A. E., Máderová, D., Belan, V., Wolfrum, C., Ukropec, J., & Ukropcová, B. (2014) · Peptides · doi:10.1016/j.peptides.2014.03.003 · Cited by 52 · see citing works
Ashmore, T., Roberts, L. D., Morash, A. J., Kotwica, A. O., Finnerty, J., West, J. A., Murfitt, S. A., Fernandez, B. O., Branco, C. M., Cowburn, A. S., et al. (2015) · BMC Biology · doi:10.1186/s12915-015-0221-6 · Cited by 51 · see citing works
Kase, E. T., Nikolić, N., Bakke, S. S., Bogen, K. K., Aas, V., Thoresen, G. H., & Rustan, A. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059972 · Cited by 51 · see citing works
Berk, E. S., Kovera, A. J., Boozer, C. N., Pi-Sunyer, X., & Albu, J. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-2411 · Cited by 49 · see citing works
Khoo, C. M., Leow, M. K., Sadananthan, S. A., Lim, R., Venkataraman, K., Khoo, E. Y. H., Velan, S. S., Ong, Y. T., Kambadur, R., McFarlane, C., et al. (2013) · Diabetes · doi:10.2337/db13-1483 · Cited by 50 · see citing works
LMNA Mutations, Skeletal Muscle Lipid Metabolism, and Insulin Resistance
Boschmann, M., Engeli, S., Moro, C., Luedtke, A., Adams, F., Gorzelniak, K., Rahn, G., Mähler, A., Dobberstein, K., Krüger, A., et al. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-1293 · Cited by 49 · see citing works
Self-citationOverexpression of PGC-1αIncreases Fatty Acid Oxidative Capacity of Human Skeletal Muscle Cells
Nikolić, N., Rhedin, M., Rustan, A. C., Storlien, L. H., Thoresen, G. H., & Strömstedt, M. (2011) · Biochemistry Research International · doi:10.1155/2012/714074 · Cited by 48 · see citing works
Chronic hyperglycemia reduces substrate oxidation and impairs metabolic switching of human myotubes
Aas, V., Hessvik, N. P., Wettergreen, M., Wensaas, A. J., Hallén, S., Thoresen, G. H., & Rustan, A. C. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2010.09.014 · Cited by 48 · see citing works
Laurens, C., Louche, K., Sengenès, C., Coué, M., Langin, D., Moro, C., & Bourlier, V. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.193 · Cited by 48 · see citing works
Body Fat Deposition Does Not Originate from Carbohydrates in Milk-Fed Calves ,
van den Borne, J. J. G. C., Lobley, G. E., Verstegen, M. W. A., Muijlaert, J.-M., Alferink, S. J. J., & Gerrits, W. J. J. (2007) · Journal of Nutrition · doi:10.1093/jn/137.10.2234 · Cited by 47 · see citing works
Bourlier, V., Saint-Laurent, C., Louche, K., Badin, P.-M., Thalamas, C., de Glisezinski, I., Langin, D., Sengenès, C., & Moro, C. (2013) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/jc.2013-1727 · Cited by 51 · see citing works
Covington, J. D., Noland, R. C., Hebert, R. C., Masinter, B. S., Smith, S. R., Rustan, A. C., Ravussin, É., & Bajpeyi, S. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-4125 · Cited by 41 · see citing works
Self-citationKakehi, S., Tamura, Y., Takeno, K., Sakurai, Y., Kawaguchi, M., Watanabe, T., Funayama, T., Sato, F., Ikeda, S., Kanazawa, A., et al. (2015) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00220.2015 · Cited by 41 · see citing works
Immunometabolic shifts in autoimmune disease: Mechanisms and pathophysiological implications
Chen, Y., Lin, Q., Cheng, H., Xiang, Q., Zhou, W., Wu, J., & Wang, X. (2024) · Autoimmunity Reviews · doi:10.1016/j.autrev.2024.103738 · Cited by 40 · see citing works
Grapov, D., Fiehn, O., Campbell, C., Chandler, C. J., Burnett, D. J., de Souza, E. C. L., Casazza, G. A., Keim, N. L., Newman, J. W. I., Hunter, G. R., et al. (2019) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00091.2019 · Cited by 39 · see citing works
Aguer, C., Foretz, M., Lantier, L., Hébrard, S., Viollet, B., Mercier, J. G., & Kitzmann, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028981 · Cited by 38 · see citing works
Samocha‐Bonet, D., Heilbronn, L. K., Lichtenberg, D. A., & Campbell, L. V. (2009) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2009.09.008 · Cited by 36 · see citing works
Corpeleijn, E., Hessvik, N. P., Bakke, S. S., Levin, K., Blaak, E. E., Thoresen, G. H., Gaster, M., & Rustan, A. C. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00187.2010 · Cited by 35 · see citing works
Zhang, J., Bhattacharyya, S., Hickner, R. C., Light, A. R., Lambert, C. J., Gale, B. K., Fiehn, O., & Adams, S. H. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00156.2018 · Cited by 35 · see citing works
Effect of adipose tissue on the sexual dimorphism in metabolic flexibility
Sparks, L. M., Pasarica, M., Sereda, O. R., de Jonge, L., Thomas, S. C., Loggins, H., Xie, H., Miles, J. M., & Smith, S. R. (2009) · Metabolism · doi:10.1016/j.metabol.2009.05.008 · Cited by 34 · see citing works
Self-citationMalin, S. K., Liu, Z., Barrett, E. J., & WELTMAN, A. L. (2016) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-016-9352-5 · Cited by 34 · see citing works
Fernández-Verdejo, R., Bajpeyi, S., Ravussin, E., & Galgani, J. E. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00126.2018 · Cited by 34 · see citing works
Kase, E. T., Feng, Y. Z., Badin, P.-M., Bakke, S. S., Laurens, C., Coue, M., Langin, D., Gaster, M., Thoresen, G. H., Rustan, A. C., et al. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2015.03.005 · Cited by 36 · see citing works
Carstens, M. T., Goedecke, J. H., Dugas, L., Evans, J., Kroff, J., Levitt, N. S., & Lambert, E. V. (2013) · Nutrition & Metabolism · doi:10.1186/1743-7075-10-8 · Cited by 34 · see citing works
- 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 › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-05.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review