| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Original Research Communications |
1 From the Departments of Endocrinology and Metabolism and Radiology, University of Pittsburgh.
2 Supported by the following grants from the National Institutes of Health: R01 DK49200-02 (DEK), 5M01RR00056 (General Clinical Research Center), DK07052-23 (BHG), and 1P30DK46204 (Obesity and Nutrition Research Center). BHG was supported by a National Institutes of Health National Research Service Award, DK07052-23.
3 Address reprint requests to BH Goodpaster, E1140 Biomedical Science Tower, University of Pittsburgh, Pittsburgh, PA 15261. E-mail: bgood+{at}pitt.edu.
 |
ABSTRACT |
|---|
 TOP ABSTRACT INTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
Objective: We investigated whether subcompartments of AT within the thigh are determinants of IR.
Design: Midthigh AT, muscle composition, and insulin sensitivity were compared in 11 obese patients with type 2 diabetes mellitus (DM); 40 obese, glucose-tolerant (GT) and 15 lean, GT volunteers; and 38 obese subjects who completed a weight-loss program. Midthigh AT area measured with computed tomography was partitioned into 3 components: subcutaneous AT (SCAT), AT beneath the fascia (SFAT), and AT infiltrating muscle groups (IMAT). Muscle attenuation characteristics were determined.
Results: Obese DM and obese GT subjects had lower insulin sensitivity than lean GT subjects. SCAT was greater in obesity, yet did not correlate with insulin sensitivity. SFAT was 
8% of total thigh AT and correlated with insulin sensitivity. IMAT was highest in obese DM, and although it accounted for only 3% of thigh AT, it was a strong correlate of insulin sensitivity. Mean attenuation was highest in lean subjects and was associated with higher insulin sensitivity. Weight loss reduced the amount of thigh AT, the proportion of thigh IMAT, and the amount of low-density thigh muscle.
Conclusions: SFAT and IMAT are markers of IR in obesity and DM although they are much smaller than SCAT, which does not predict IR. Muscle composition reflecting increased fat content is also associated with IR.
Key Words: Insulin resistance • skeletal muscle • adipose tissue • weight loss • thigh adipose tissue • thigh muscle • obesity • insulin sensitivity • type 2 diabetes mellitus • non-insulin-dependent diabetes mellitus • adult-onset diabetes mellitus • computed tomography • glucose tolerance • body composition • regional fat distribution
|
INTRODUCTION |
|---|
|
TOPABSTRACTINTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
Weight-loss interventions are commonly prescribed to obese individuals to improve insulin sensitivity and reduce risk factors associated with metabolic disease. Although many investigations have focused on the effects of weight loss on abdominal AT distribution (15–18), little is known about the effects of weight loss on thigh AT distribution or changes in skeletal muscle fat content. In a recent study (19), we showed that in a group of glucose-tolerant (GT) obese subjects, an average weight loss of 15 kg induced by energy restriction increased muscle attenuation and decreased total thigh AT content. However, the various AT compartments within the thigh that can be identified with CT were not determined in that study. Therefore, the current study examined the effects of weight loss on thigh AT distribution and skeletal muscle composition in obese GT subjects and obese individuals with type 2 DM.
|
SUBJECTS AND METHODS |
|---|
|
TOPABSTRACTINTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
. Individuals with hyperlipidemia (concentrations of plasma triacylglycerol >3.95 mmol/L or total cholesterol >7.76 mmol/L), coronary heart disease, vascular disease, or hypertension were excluded, as were individuals taking antihypertensive agents. Subjects with DM discontinued their oral antidiabetic medications for 2 wk before the study, and none had received insulin. None of the subjects engaged in any regular exercise. The protocol was approved by the University of Pittsburgh Institutional Review Board, and all subjects gave their written, informed consent.
|
30 was asked to participate in a weight-loss program designed to achieve a 15-kg weight reduction via energy restriction. The energy restriction lasted for 12 wk; body weight was then carefully stabilized for an additional 4 wk, after which post-weight-loss assessments were performed at week 17. The program was described previously (19); subjects consumed a very-low-energy diet (3.35 MJ/d) consisting of liquid formula (Novartis, Minneapolis) and lean meat, fish, and poultry. Of the volunteers, 28 obese GT individuals (15 women and 13 men) and 10 obese individuals with DM (5 men and 5 women) completed the program and 5 subjects dropped out.
Body composition
Dual-energy X-ray absorptiometry
Whole-body fat mass and fat-free mass were assessed with DXA (model DPX-L; Lunar Corp, Madison, WI) by using proprietary software (version 1.3Z; Lunar Corp). Fat mass of the midthigh was determined with DXA within a manually drawn rectangular region of interest with a width spanning the thighs. The height of the region of interest was calculated for each individual as exactly half the distance between the top of the iliac crest and the patella, centered at this midpoint.
Computed tomography
To characterize the amount and location of AT within the thigh, cross-sectional CT imaging (model 9800 CT scanner; General Electric, Milwaukee) was performed. With the subject in a supine position, we obtained a 10-mm cross-sectional scan of both legs at the midpoint between the anterior superior iliac crest and the patella. Scans were obtained by using a 512 x 512 matrix and a 48-cm field of view, thereby attaining a pixel resolution of 0.94 mm. AT area was measured in the right thigh in the range of -190 to -30 Hounsfield units (HU) (4) by using proprietary software (GE Medical Systems, Milwaukee). Three compartments of thigh AT cross-sectional area were separated by manual tracings (Figure 1). One tracing was drawn around the outermost edge of the thigh skeletal muscle to distinguish intermuscular adipose tissue (IMAT). Next, the window level was adjusted to visualize the fascia lata surrounding skeletal muscle and a manual tracing was drawn to differentiate subcutaneous adipose tissue (SCAT) from adipose tissue between the fascia and muscle (subfascial AT; SFAT). Bone marrow AT was excluded.
|
Insulin sensitivity
We determined insulin sensitivity by using the hyperinsulinemic euglycemic clamp method as described previously (14). Subjects were instructed to consume a weight-maintaining diet containing 200 g carbohydrate for 3 d before measurements of insulin sensitivity and to avoid strenuous activity for 2 d preceding these studies. On the day before measurement of insulin sensitivity, subjects were admitted to the University of Pittsburgh General Clinical Research Center. That evening, they received a standard dinner providing 42 kJ/kg with 50% of energy from carbohydrate, 30% from fat, and 20% from protein. After this meal, they fasted until completion of the glucose and insulin infusions. At 0700, a catheter was placed in a forearm vein to start a primed, continuous infusion of [3-3H]glucose (New England Nuclear, Boston) 100 min before beginning the euglycemic insulin infusion; the insulin dose was 40 mU • m-2 • min-1, where m2 represents body surface area (Humulin; Eli Lilly, Indianapolis). Tracer was given to allow determination of glucose utilization during the final 30 min of the 3-h insulin infusion. An additional catheter was inserted into a radial artery for blood sampling. Baseline postabsorptive arterial samples were collected for determination of serum insulin concentration. Euglycemia was maintained by using an adjustable infusion of 20% dextrose to which [3-3H]glucose was added to maintain stable plasma glucose specific activity (21). Plasma glucose concentration was determined at 5-min intervals during the clamp procedure. Blood samples for measurement of [3-3H]glucose specific activity were collected every 10 min during the final 40 min of insulin infusion.
Glucose and insulin analyses
Plasma glucose concentrations were measured by using an automated glucose oxidase reaction (YSI 2300 glucose analyzer; Yellow Springs Instrument Co, Yellow Springs, OH). Glucose specific activity was determined with liquid scintillation spectrometry after the deproteinization of plasma with barium sulfate and zinc hydroxide. Serum insulin concentrations were determined by using commercially available radioimmunoassay kits (Pharmacia, Uppsala, Sweden).
Calculations
The rates of plasma glucose appearance and utilization were calculated by using the Steele equations (22) as modified for variable-rate glucose infusions that contain isotope (21). The rate of insulin-stimulated glucose utilization was used as the measure of insulin sensitivity.
Statistical analysis
The data are presented as means (±SEM) unless otherwise indicated. Regression analysis was used to determine the associations between insulin sensitivity and thigh AT content, muscle attenuation, and areas of NDM and LDM. For certain variables, the lean GT, obese GT, and obese DM groups were compared with analysis of variance, and pairwise group differences were assessed with Tukey's post hoc analysis. Weight changes were compared by using paired t tests. All statistical analyses were performed by using JMP version 3.1.6 for the Macintosh (SAS Inc, Cary, NC).
|
RESULTS |
|---|
|
TOPABSTRACTINTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
). Obese subjects were hyperinsulinemic and were more insulin-resistant than lean subjects (P < 0.01). Obese DM subjects were further distinguished by fasting hyperglycemia, greater insulin resistance, and higher fasting plasma insulin concentrations than in obese GT volunteers. Men and women had similar amounts of fat mass (30.1 ± 2.1 and 34.4 ± 2.1 kg, respectively), and insulin sensitivity did not differ significantly between men and women (5.74 ± 0.50 and 6.79 ± 0.48 mg • min-1 • kg fat-free mass-1, respectively).
Thigh adipose tissue
Total thigh AT, defined by HU in the range of -190 to -30 on CT, was divided into 3 compartments and measured as areas of thigh SCAT, SFAT, and IMAT (Figure 1). Both the obese GT and obese DM groups had greater (P < 0.01) cross-sectional areas of SCAT, SFAT, and IMAT than the lean GT group (Table 2). SCAT represented the majority of total thigh AT area (90%), whereas SFAT and IMAT each represented a much smaller proportion of total thigh AT area (8% and 2%, respectively). Representative histograms (Figure 2) of CT attenuation values illustrate that very little AT was visible as IMAT in lean individuals, whereas a typical obese volunteer had a substantial amount of IMAT. Simple linear regression analysis revealed that SCAT, SFAT, and IMAT were all significantly correlated with fat mass (Table 3). Men and women had similar amounts of SFAT and IMAT, but women had more SCAT than men (156 ± 8 compared with 101 ± 9 cm2, respectively).
|
|
|
). The proportion of total thigh AT area represented by IMAT was also associated with insulin sensitivity (r = -0.45, P < 0.01). A similar, albeit slightly weaker association was found between SFAT and insulin sensitivity (r = -0.36, P < 0.01). These results were also consistent with respect to sex; insulin sensitivity was negatively associated with IMAT (r = -0.60 and -0.33, P < 0.05) and with SFAT (r = -0.38 and -0.36, P < 0.05) in men and women, respectively. However, these associations were not significant after adjusting for total body fat. No association was observed between insulin resistance and the relatively large SCAT depot. Total cross-sectional thigh AT by CT was strongly associated with midthigh fat content determined with DXA (r = 0.93, P < 0.01). However, neither of these measures of total thigh adiposity correlated with insulin sensitivity (r = -0.17 and -0.23 for CT and DXA, respectively). Adjustment for age did not affect the correlations between thigh AT content and insulin resistance.
|
). Muscle composition was further characterized as muscle area with attenuation values within the normal range (NDM) or muscle area with attenuation values >2 SD below the normal range, ie, LDM. Cross-sectional areas of NDM were similar in the lean and obese groups (Table 2), but areas of LDM were greater in the obese GT and obese DM groups (P < 0.01). As shown in the histograms in Figure 2, the thigh of a typical obese volunteer registered more pixels in the range representing LDM than the thigh of a typical lean volunteer. The area of LDM in obese subjects was negatively associated with insulin sensitivity (r = -0.50, P < 0.01); this association was similar for men (r = -0.60, P < 0.01) and women (r = -0.54, P < 0.01) and was not influenced by age. Furthermore, multivariate regression analysis revealed that the area of LDM and total body fat independently contributed to the variance in insulin sensitivity; LDM accounted for 30% of the variance and total body fat accounted for an additional 12% of the variance. The area of NDM was not significantly associated with insulin sensitivity.
Effects of weight loss
The 16-wk weight-loss program was effective in reducing body weight and total fat mass; the average losses were 15 kg of body weight and 11.2 kg of fat mass (P < 0.01 for both). BMI decreased from 34.3 ± 0.6 to 29.3 ± 0.6 in obese GT subjects and from 36.2 ± 1.2 to 31.7 ± 1.2 in obese DM subjects. Fasting insulin concentrations decreased to 52 ± 4 and 96 ± 17 pmol/L in obese GT and obese DM subjects, respectively. Weight loss increased insulin sensitivity by 27% in obese GT subjects and by 36% in obese DM subjects (to 7.5 ± 0.8 and 4.9 ± 0.6 mg • min-1 • kg fat-free mass-1, respectively; P < 0.01 for both). Fasting hyperglycemia was nearly normalized (6.3 ± 0.6 mmol/L) in obese DM subjects after weight loss (P < 0.01).
With weight loss, the SCAT and SFAT compartments were reduced to a similar extent (22% and 18%, respectively; P < 0.01 for both) (Table 4). However, the proportion of IMAT lost (36%) was greater than that for either SCAT or SFAT (P < 0.01). The magnitude of reduction in these depots was similar in the obese GT and obese DM groups, although the reductions in SFAT and IMAT did not reach statistical significance in the obese DM group; this was probably because fewer DM subjects were in the weight-loss program. Neither the initial amount nor the amount of reduction in any of the thigh AT compartments predicted the magnitude of improvement in insulin sensitivity after weight loss.
|
). In addition, weight loss preferentially reduced the amount of LDM in obese GT and obese DM subjects (P < 0.01), accounting for all of the reduction in total muscle cross-sectional area (Table 4). This suggests that the reduction in muscle cross-sectional area with weight loss was partly a function of the reduction in muscle lipid content. |
DISCUSSION |
|---|
|
TOPABSTRACTINTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
Previous investigations found increased amounts of AT infiltrating skeletal muscle in the elderly (25), muscular dystrophy patients (10, 26), and people with other myopathies (9, 11). The current data are the first to suggest that AT interspersed around and between skeletal muscle is associated with insulin resistance in obesity irrespective of sex or age. A mechanism that would explain the association between IMAT and insulin resistance has not been clearly defined. It is possible that AT interspersed in and around skeletal muscle may impair muscle blood flow, reduce insulin diffusion capacity, or increase local concentrations of fatty acids, all of which have been shown to be associated with insulin-resistant glucose metabolism in skeletal muscle (27–29). Further, it has been suggested that an increase in IMAT contributes to insulin resistance through enhanced rates of lipolysis within skeletal muscle (30).
Another finding of the current investigation was that muscle attenuation was reduced in obese GT subjects and obese subjects with type 2 DM. Reduced muscle attenuation was strongly associated with skeletal muscle insulin resistance in obesity and type 2 DM. This finding is consistent with several previous reports from our laboratory (14, 19, 20, 31, 32). This accumulation of muscle lipid most likely represents fat between the muscle fibers and within the fibers themselves, but because of the limited resolution of CT, the intracellular compared with extracellular lipid in muscle cannot be distinguished or directly measured. It is also possible that factors such as muscle water content may influence its attenuation as measured with CT, although this hypothesis has never been tested. Nevertheless, these results are in accord with others suggesting that lower muscle attenuation determined with CT represents increased lipid contained within muscle (10, 33). In addition, the current study showed that increased area of LDM was associated with insulin resistance independent of total body adiposity. These results agree with our previous finding of an association between increased lipid content in muscle and insulin resistance in obese subjects without type 2 DM (14). The current results are also in accord with investigations that found higher triacylglycerol content in skeletal muscle biopsy samples in association with insulin resistance (13). Further, we have shown that the amount of lipid contained within skeletal muscle fibers, measured with histochemical methods, is higher in obesity and in type 2 DM (34).
A methodologic issue of interest concerns the extent to which this CT method can distinguish between muscle tissue itself and AT interspersed within skeletal muscle, ie, the partition we termed IMAT. The attenuation value as measured by CT is a characteristic of the tissue density, and muscle registers higher attenuation values than does AT. The spatial resolution of the 512 x 512 image was 0.94 mm, which should permit reasonably good delineation of AT and skeletal muscle. The histograms in Figure 2, obtained in a lean volunteer and an obese volunteer, show clear separations between adipose and muscle tissue. Moreover, the elemental composition (electrons per unit mass) also contributes to the resolution of tissue on CT so that the higher fraction of hydrogen in AT allows it to be better differentiated from other tissues (35). Further, evidence that this CT method is capable of measuring 2 distinct lipid components came from the results of multivariate regression analysis. First, our data showed that the AT interspersed between muscles and the lipid contained within muscle were both strongly associated with insulin resistance. To determine whether these thigh composition variables had independent associations with insulin sensitivity, a multivariate regression analysis including all parameters of thigh adiposity and thigh muscle composition was performed. It revealed that the amount of thigh IMAT accounted for 24% of the variance in insulin sensitivity and the amount of LDM independently explained an additional 14% of the variance. These data suggest that the IMAT and the lipid contained within muscle each have an independent association with insulin resistance.
Weight loss with reductions in both fat mass and fat-free mass improves insulin sensitivity in obesity irrespective of the presence of type 2 DM (15, 19, 36). The majority of weight change is due to loss of fat mass, and this was reconfirmed in the current study. The loss of thigh fat mass determined with DXA represented 5% of the total fat mass lost, whereas loss of abdominal AT accounted for 30% of the total fat mass lost during an identical weight-loss program (19). With respect to the distribution of AT in the thigh, there were decreases in subcutaneous, subfascial, and intermuscular AT components. None of the amounts by which these depots were reduced predicted the corresponding degree of improvement in insulin sensitivity. In a recent study, we observed that weight loss resulted in a decrease in visceral AT that was correlated with the improvement in insulin sensitivity, whereas the loss of total thigh AT was not (19). These results are similar to the current finding that the loss of thigh AT failed to predict the absolute improvement in insulin sensitivity. However, it is interesting to note that thigh IMAT, which had the strongest association with insulin resistance before weight loss, showed the greatest proportionate loss of all the thigh AT components during the weight-loss program.
The current study also provides new insight into the effect of weight loss on the composition of lean tissue. Before weight loss, obese subjects (GT and DM) had a greater cross-sectional area of skeletal muscle than did lean subjects. This difference was due to the greater amounts of LDM in obesity. With weight loss, muscle cross-sectional area was reduced because of a selective decrement in LDM area while the amount of NDM remained unchanged; this led to an increase in mean muscle attenuation. Evidence suggests that fat accumulation within skeletal muscle is an important marker of insulin resistance in obesity, but the effects of weight loss on muscle lipid content or muscle composition have only been investigated recently when we reported that weight loss improves insulin sensitivity and increases muscle attenuation (19). The current findings of reduced muscle fat content because of weight reduction in both obese GT and obese DM subjects concur with these previous weight-loss studies, although the degree of alteration in muscle composition could not account for the absolute improvement in insulin sensitivity as a result of weight loss in the current study. Thus, the intervention data do not provide a clear mechanistic link between muscle lipid content and insulin sensitivity as has been found in animal models of insulin resistance (37).
In summary, the current study provided the novel observation that the distribution of AT deposition within the thigh is an important body-composition determinant of insulin resistance in obesity and type 2 DM. Specifically, accumulation of AT interspersed around and between skeletal muscle is a relatively strong marker of insulin resistance, whereas the size of the much larger thigh SCAT depot is not associated with insulin resistance. Another component of thigh adiposity, namely skeletal muscle with reduced attenuation on CT, is also associated with insulin resistance. Weight loss decreases the amount of AT infiltrating muscle in the thigh and improves insulin sensitivity in obesity and type 2 DM. Thus, compartmentalization of thigh AT into subcutaneous and intermuscular depots may be important in determining the relation between regional body composition and insulin-resistant glucose metabolism.
|
ACKNOWLEDGMENTS |
|---|
|
REFERENCES |
|---|
|
TOPABSTRACTINTRODUCTIONSUBJECTS AND METHODSRESULTSDISCUSSIONREFERENCES |
|---|
This article has been cited by other articles:
|
|
 |
|
  M. T. Durheim, C. A. Slentz, L. A. Bateman, S. K. Mabe, and W. E. Kraus Relationships between exercise-induced reductions in thigh intermuscular adipose tissue, changes in lipoprotein particle size, and visceral adiposity Am J Physiol Endocrinol Metab, August 1, 2008; 295(2): E407 - E412. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P. U. Freda, W. Shen, S. B. Heymsfield, C. M. Reyes-Vidal, E. B. Geer, J. N. Bruce, and D. Gallagher Lower Visceral and Subcutaneous but Higher Intermuscular Adipose Tissue Depots in Patients with Growth Hormone and Insulin-Like Growth Factor I Excess Due to Acromegaly J. Clin. Endocrinol. Metab., June 1, 2008; 93(6): 2334 - 2343. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J.-E. Yim, S. Heshka, J. B. Albu, S. Heymsfield, and D. Gallagher Femoral-gluteal subcutaneous and intermuscular adipose tissues have independent and opposing relationships with CVD risk J Appl Physiol, March 1, 2008; 104(3): 700 - 707. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 G. K. Sakkas, K. I. Gourgoulianis, C. Karatzaferi, V. Liakopoulos, M. D. Maridaki, C. Pastaka, E. Lavdas, B. J. Soher, S. Dovas, I. Fezoulidis, et al. Haemodialysis patients with sleep apnoea syndrome experience increased central adiposity and altered muscular composition and functionality Nephrol. Dial. Transplant., January 1, 2008; 23(1): 336 - 344. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Thalmann and C. A. Meier Local adipose tissue depots as cardiovascular risk factors Cardiovasc Res, September 1, 2007; 75(4): 690 - 701. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 T. Joy and S. K Grinspoon Adipose compartmentalization and insulin resistance among obese HIV-infected women: the role of intermuscular adipose tissue Am. J. Clinical Nutrition, July 1, 2007; 86(1): 5 - 6. [Full Text] [PDF]
|
|
|
|
|
|
K. Azuma, L. K. Heilbronn, J. B. Albu, S. R. Smith, E. Ravussin, D. E. Kelley, and and the Look AHEAD Adipose Research Group Adipose tissue distribution in relation to insulin resistance in type 2 diabetes mellitus Am J Physiol Endocrinol Metab, July 1, 2007; 293(1): E435 - E442. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 L. Yao, M. J. Delmonico, S. M. Roth, B. D. Hand, J. Johns, J. Conway, L. Douglass, and B. F. Hurley Adrenergic Receptor Genotype Influence on Midthigh Intermuscular Fat Response to Strength Training in Middle-Aged and Older Adults J. Gerontol. A Biol. Sci. Med. Sci., June 1, 2007; 62(6): 658 - 663. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. Cheema, H. Abas, B. Smith, A. O'Sullivan, M. Chan, A. Patwardhan, J. Kelly, A. Gillin, G. Pang, B. Lloyd, et al. Progressive Exercise for Anabolism in Kidney Disease (PEAK): A Randomized, Controlled Trial of Resistance Training during Hemodialysis J. Am. Soc. Nephrol., May 1, 2007; 18(5): 1594 - 1601. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. J. Prior, L. J. Joseph, J. Brandauer, L. I. Katzel, J. M. Hagberg, and A. S. Ryan Reduction in Midthigh Low-Density Muscle with Aerobic Exercise Training and Weight Loss Impacts Glucose Tolerance in Older Men J. Clin. Endocrinol. Metab., March 1, 2007; 92(3): 880 - 886. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
T. M Manini, B. C Clark, M. A Nalls, B. H Goodpaster, L. L Ploutz-Snyder, and T. B Harris Reduced physical activity increases intermuscular adipose tissue in healthy young adults Am. J. Clinical Nutrition, February 1, 2007; 85(2): 377 - 384. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
X. Y. Ruan, D. Gallagher, T. Harris, J. Albu, S. Heymsfield, P. Kuznia, and S. Heshka Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images J Appl Physiol, February 1, 2007; 102(2): 748 - 754. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
D. Gallagher Weight loss in older women: influences on body composition. Am. J. Clinical Nutrition, November 1, 2006; 84(5): 957 - 958. [Full Text] [PDF]
|
|
|
|
|
|
G. Mazzali, V. Di Francesco, E. Zoico, F. Fantin, G. Zamboni, C. Benati, V. Bambara, M. Negri, O. Bosello, and M. Zamboni Interrelations between fat distribution, muscle lipid content, adipocytokines, and insulin resistance: effect of moderate weight loss in older women. Am. J. Clinical Nutrition, November 1, 2006; 84(5): 1193 - 1199. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. Franco, J. D Veldhuis, A. Iranmanesh, J. Brandberg, L. Lonn, B. Andersson, B.-A. Bengtsson, J. Svensson, and G. Johannsson Thigh intermuscular fat is inversely associated with spontaneous GH release in post-menopausal women with abdominal obesity. Eur. J. Endocrinol., August 1, 2006; 155(2): 261 - 268. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. Snijder, R. van Dam, M Visser, and J. Seidell What aspects of body fat are particularly hazardous and how do we measure them? Int. J. Epidemiol., February 1, 2006; 35(1): 83 - 92. [Full Text] [PDF]
|
|
|
|
|
|
J. B Albu, A. J Kovera, L. Allen, M. Wainwright, E. Berk, N. Raja-Khan, I. Janumala, B. Burkey, S. Heshka, and D. Gallagher Independent association of insulin resistance with larger amounts of intermuscular adipose tissue and a greater acute insulin response to glucose in African American than in white nondiabetic women Am. J. Clinical Nutrition, December 1, 2005; 82(6): 1210 - 1217. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Lee, J. L. Kuk, L. E. Davidson, R. Hudson, K. Kilpatrick, T. E. Graham, and R. Ross Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without Type 2 diabetes J Appl Physiol, September 1, 2005; 99(3): 1220 - 1225. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. E. Van Pelt, C. M. Jankowski, W. S. Gozansky, R. S. Schwartz, and W. M. Kohrt Lower-Body Adiposity and Metabolic Protection in Postmenopausal Women J. Clin. Endocrinol. Metab., August 1, 2005; 90(8): 4573 - 4578. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Torriani and S. Grinspoon Racial differences in fat distribution: the importance of intermuscular fat Am. J. Clinical Nutrition, April 1, 2005; 81(4): 731 - 732. [Full Text] [PDF]
|
|
|
|
|
|
D. Gallagher, P. Kuznia, S. Heshka, J. Albu, S. B Heymsfield, B. Goodpaster, M. Visser, and T. B Harris Adipose tissue in muscle: a novel depot similar in size to visceral adipose tissue Am. J. Clinical Nutrition, April 1, 2005; 81(4): 903 - 910. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. Gaster, A. C. Rustan, and H. Beck-Nielsen Differential Utilization of Saturated Palmitate and Unsaturated Oleate: Evidence From Cultured Myotubes Diabetes, March 1, 2005; 54(3): 648 - 656. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. T. Schroeder, L. Zheng, M. D. Ong, C. Martinez, C. Flores, Y. Stewart, C. Azen, and F. R. Sattler Effects of Androgen Therapy on Adipose Tissue and Metabolism in Older Men J. Clin. Endocrinol. Metab., October 1, 2004; 89(10): 4863 - 4872. [Abstract] [Full Text] [PDF]
|
|
), and obese subjects with diabetes mellitus (DM; 
) (n = 68). FFM, fat-free mass.