Advertisement
J. Lipid Res.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Originally published In Press as doi:10.1194/jlr.R600011-JLR200 on May 10, 2006 Originally published In Press as doi:10.1194/jlr.R600011-JLR200 on May 9, 2006

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
R600011-JLR200v1
R600011-JLR200v2
47/8/1643    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Koutsari, C.
Right arrow Articles by Jensen, M. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Koutsari, C.
Right arrow Articles by Jensen, M. D.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Journal of Lipid Research, Vol. 47, 1643-1650, August 2006
Copyright © 2006 by American Society for Biochemistry and Molecular Biology


Thematic Review

Thematic review series: Patient-Oriented Research. Free fatty acid metabolism in human obesity

Christina Koutsari and Michael D. Jensen1

Endocrine Research Unit, Mayo Clinic, Rochester, MN 55905

Published, JLR Papers in Press, May 10, 2006.

1 To whom correspondence should be addressed. e-mail: jensen.michael{at}mayo.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
Adipose tissue lipolysis provides circulating FFAs to meet the body's lipid fuel demands. FFA release is well regulated in normal-weight individuals; however, in upper-body obesity, excess lipolysis is commonly seen. This abnormality is considered a cause for at least some of the metabolic defects (dyslipidemia, insulin resistance) associated with upper-body obesity. "Normal" lipolysis is sex-specific and largely determined by the individual's resting metabolic rate. Women have greater FFA release rates than men without higher FFA concentrations or greater fatty acid oxidation, indicating that they have greater nonoxidative FFA disposal, although the processes and tissues involved in this phenomenon are unknown. Therefore, women have the advantage of having greater FFA availability without exposing their tissues to higher and potentially harmful FFA concentrations. Upper-body fat is more lipolytically active than lower-body fat in both women and men. FFA released by the visceral fat depot contributes only a small percentage of systemic FFA delivery. Upper-body subcutaneous fat is the dominant contributor to circulating FFAs and the source of the excess FFA release in upper-body obesity. We believe that abnormalities in subcutaneous lipolysis could be more important than those in visceral lipolysis as a cause of peripheral insulin resistance. Understanding the regulation of FFA availability will help to discover new approaches to treat FFA-induced abnormalities in obesity.

Supplementary key words regional lipolysis • visceral fat • sex • resting energy expenditure • fat distribution • subcutaneous adipose tissue


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
Obesity is a global public health concern (13). It is well established that obesity, particularly upper-body obesity, is a major contributor to chronic disease and disability, such as dyslipidemia, hypertension, type 2 diabetes, and cardiovascular disease (4). A major link between upper-body obesity and metabolic complications is excessive adipose tissue lipolysis. Under normal conditions, FFA release from adipose tissue is well regulated, allowing appropriate availability of FFAs to meet the energy requirements of the tissues. Increased adiposity can result in excess FFA release relative to tissue needs. The resultant higher FFA concentrations can induce muscle (5) and hepatic (6) insulin resistance, endothelial (7) and pancreatic ß-cell (8) dysfunction, and increased VLDL triglyceride production (9). Thus, although adipose tissue is an excellent site for storage of energy and can provide FFAs at times of lipid fuel demands, appropriate regulation of its function is necessary for optimal health in humans.

Although upper-body obesity has been associated with a number of metabolic abnormalities, lower-body adiposity has been associated with a more favorable metabolic profile (1013). It is currently unknown whether the accumulation of subcutaneous fat in the lower-body region exerts a direct protective effect against the unfavorable consequences of obesity or merely serves as a marker for the "healthy" regulation of other fat stores. However, these observations illustrate the complexity of the links between obesity, body fat distribution, and metabolic health.

Several links between obesity and insulin resistance/metabolic abnormalities have been described (1417). One concept is that the metabolically challenged adipose tissue has difficulty accommodating the excess energy influx and regulating FFA delivery to tissues. The potent effects of increased FFAs on systems and pathways are key components of the proposed paradigms by which obesity affects metabolic health. A number of adipocyte-derived factors, the so-called adipokines, have also been implicated in the induction of insulin resistance in obesity (18). At present, however, we do not know how much of an effect these adipokines have or whether they will also serve as a link between adipose tissue and insulin resistance.

The aim of this review is to discuss the current knowledge and future directions of FFA metabolism in obesity. Understanding FFA metabolism in obesity will provide insights into potential mechanisms of health improvements.


    ADVANCES IN METHODOLOGIES RELEVANT TO THE STUDY OF FFA KINETICS
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
FFA turnover using radiotracers
The determination of lipolysis rates in humans in vivo requires the use of radioactive or stable isotopic tracers (fatty acids or glycerol). An infusion of a labeled glycerol tracer is easy to do and has been used for the measurement of whole-body glycerol release. It has been argued that glycerol release is considered a quantitative measure of whole-body lipolysis (1924), but recent evidence suggests that the assumptions used to consider systemic glycerol release as an accurate measure of basal adipose tissue lipolysis may not be valid (25, 26). For example, under postabsorptive conditions, 1) hepatic glycerol uptake is much more efficient than hepatic FFA uptake, greatly affecting the splanchnic FFA-to-glycerol release ratio; 2) the glycerol entering the circulation from hepatic VLDL triglyceride production can be significant, and the portion of lipoprotein lipase-derived glycerol that enters the plasma can be quite variable; and 3) muscle and adipose tissues are capable of taking up glycerol from the circulation (25, 26). All of these factors introduce significant concerns in using systemic glycerol turnover rate as a quantitative measure of adipose tissue lipolysis. Therefore, we prefer FFA tracers for this purpose, despite the greater difficulty encountered in preparing these tracers for research studies.

Radiolabeled (3H and 14C) fatty acids for the study of adipose tissue lipolysis offer many advantages. Although it is necessary to use albumin to allow FFA tracers to become soluble in aqueous solutions for intravenous infusion, the small mass of tracer (often in the microgram to few milligram range) requires little albumin and can be accomplished relatively quickly. The study of whole-body and especially regional FFA flux with radiotracers requires extremely accurate and precise measurement of FFA specific activity (SA) (dpm/nmol). Early studies of FFA kinetics used the approach of measuring FFA radioactivity and concentrations. FFAs were isolated from plasma with extraction (2730), and separate aliquots were assayed for radioactivity (dpm/ml) and fatty acid content (nmol/ml). By dividing the former by the latter, FFA SA (dpm/nmol) was calculated. Although this is an easy method for measuring FFA SA, it has the disadvantage that low FFA concentrations (<50 µmol/l) are difficult to measure accurately with most assays. In addition, the FFA concentration and SA measurements are linked, making it impossible to draw legitimate conclusions about FFA clearance. FFA clearance is calculated using the FFA turnover/disappearance (FFA tracer infusion rate ÷ steady-state FFA SA) divided by the FFA concentation. This method for measuring FFA flux requires that FFA concentration be used in both the numerator (for the calculation of FFA SA) and the denominator, which compromises the validity of the FFA clearance values.

Ideally, FFA SA should be determined independent of FFA concentration. An analytical technique developed in our laboratory (31, 32) allows the accurate determination of FFA SA using HPLC. By collecting the HPLC fraction and measuring the radioactivity (dpm) while simultaneously measuring the absolute fatty acid content (nmol) in that fraction, the SA (dpm/nmol) can be determined independent of FFA concentration. Another major strength of this method is that the measurement of SA is independent of variations in recovery, because the recoveries of tracer and tracee are linked. Furthermore, by adding an internal standard (we use [2H31]palmitate because of its favorable chromatographic properties) and creating a six point standard curve, plasma concentrations of individual plasma fatty acids can be measured down to <5 µmol/l with accuracy and precision.

We have shown that this method can measure the inflow of a known infusion of exogenous FFAs during adipose tissue lipolytic inhibition with >90% accuracy (31, 32). Thus, isotope dilution techniques can be used for quantitatively accurate measurements of FFA inflow into the plasma space, providing that the appropriate analytical techniques, infusion-sampling mode, and equations are used (3133).

FFA turnover using stable isotopic tracers
The major disadvantages of radiolabeled fatty acid tracers are the radiation exposure and the requirement for radioactivity-approved research facilities. The use of stable isotopic tracers, such as [1-13C]palmitate, for the measurement of FFA turnover overcomes these issues. Indeed, [1-13C]palmitate has been widely used for the determination of FFA kinetics (3440). However, the use of 1-13C-labeled fatty acids is not without disadvantages. To overcome the rapid FFA turnover, the high natural abundance of 13C, and the relatively low precision of most GC-MS equipment, a high tracer infusion rate (0.04 µmol/kg body mass/min) is necessary. This FFA infusion rate requires a large amount of albumin and is very time-consuming to prepare. For example, a 3 h FFA tracer infusion study may require as much as 25 g of albumin.

Another approach is to use gas chromatography/combustion/isotope ratio mass spectrometry (GC/C/IRMS) because of its superior sensitivity and lower detection limit by 1 order of magnitude. The use of a GC/C/IRMS system requires less 1-13C-labeled fatty acid to be infused; however, its sensitivity is somewhat compromised as a result of the high natural abundance of 13C. This can be largely overcome by using [U-13C]palmitate (or other uniformly labeled FFAs) as a tracer, which allows further reductions in the tracer infusion rate without sacrificing sensitivity (41). Ultralow infusion rates (postabsorptive state, 0.05 nmol/kg body mass/min) of [U-13C]palmitate in combination with GC/C/IRMS analysis provided palmitate flux values identical to those obtained with established radiotracer methods in a variety of conditions (41). Despite the high cost of [U-13C]palmitate, the reduced preparation time and required amounts of tracer and albumin make it a highly advantageous stable isotopic fatty acid tracer for FFA turnover studies in humans.

Assessment of body fat distribution
Measurement of regional fat content is important when examining the fat depots that best relate to the metabolic complications of obesity. Furthermore, accurate quantification of regional body fat is crucial when assessing the contributions of the different sources of circulating FFAs. Accurate and precise determination of body fat distribution depends on imaging techniques, namely MRI, computed tomography (CT), and dual-energy X-ray absorptiometry (DEXA). DEXA measures the mass of total-body and regional fat with low radiation exposure (42). However, DEXA cannot distinguish between subcutaneous and visceral fat. Multi-slice CT and MRI are the gold standards for differentiating between these two fat depots. We have found that a combination of single-slice CT at the L2-L3 or L3-L4 interspace (to determine the visceral-to-total abdominal adipose tissue ratio) and DEXA-measured total abdominal fat provides an estimate of visceral fat mass that correlates extremely well (r = 0.98, P < 0.001) with multi-slice CT-measured visceral fat (43). This combined approach provides complete body composition information and substantially reduces radiation exposure without compromising the accuracy of visceral mass determination.


    APPLICATIONS AND RECENT FINDINGS
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
What is "normal" whole-body lipolysis?
Although it is commonly said that FFA release is abnormal in obesity, this actually requires an understanding of what is "normal" FFA flux. Unfortunately, even after 40 years of active research, there is no complete consensus on the mode of expression of systemic FFA flux. Some investigators normalize FFA turnover rate to fat-free (or lean) body mass, whereas others normalize it to fat mass or total body mass. Finally, some prefer to present the absolute FFA flux values (µmol/min), not dividing by body mass or any body compartment. The different modes of data presentation appear to reflect the different points of view of the investigators. For example, FFA flux can be seen as the rate of FFA release from the adipose tissue or as the outflow rate of FFA from the systemic circulation to fatty acid-consuming tissues. Table 1 provides FFA flux values in different modes of expression in lean and obese individuals from studies conducted in different laboratories. Lean body mass and fat-free mass are used interchangeably in this review for simplicity.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Plasma FFA concentrations and systemic FFA release rates assessed with FFA isotopic tracers in lean and obese individuals

 
By dividing systemic FFA flux by fat mass, the focus becomes the release of FFA from body fat stores. In this way, the rates of lipolysis of obese and lean individuals are compared on the basis of their different adiposity levels. In most (40, 4447) but not all (48) studies in which basal FFA turnover rate was expressed per unit of fat mass, FFA release rates (µmol/kg fat/min) were >=50% less in obese than in lean individuals. This indicates that FFA availability is not in direct proportion to adipose triglyceride store. It has been argued that this downregulation of FFA release per unit of fat mass is attributable to the fasting hyperinsulinemia of obesity, which may be advantageous by preventing massive increases in plasma FFA concentrations.

Another line of thinking is that the overall rate of lipolysis is governed by the requirements of the fat-free tissue mass rather than the fat stores or the total tissue mass (44). In other words, because FFA disposal occurs predominantly by fat-free tissues such as muscle and liver, it is preferable to correct FFA lipolysis rates for differences in fat-free mass when comparing lean and obese volunteers. When such a correction is made, postabsorptive FFA lipolysis (µmol/kg fat-free mass/min) is usually greater in obese than in lean volunteers by ~60% (44, 45, 48, 49). Furthermore, we observed that FFA flux relative to lean body mass is higher in upper-body obese (UBO) than in lower-body obese (LBO) women and lean women, which indicates that there are major differences in the regulation of adipose tissue lipolysis between these two obesity phenotypes (49, 50). There are, however, studies in which FFA lipolysis corrected for fat-free mass was not significantly different between UBO and lean women (40).

FFA flux has also been expressed relative to total body mass (44, 47, 48). When obese and lean volunteers are compared, postabsorptive systemic FFA release (µmol/kg body mass/min) does not differ significantly between groups (44, 47, 48).

It is evident that depending on the mode of expression that is chosen, basal FFA lipolysis in obese individuals can be lower, higher, or not different compared with that in lean individuals. The obvious question is how FFA flux data should be presented. First, we have to examine whether the modes of presentation described above are legitimate or not. The answer is that the per-mass expressions for FFA flux (and probably for most physiological variables) can lead to erroneous conclusions. This means of data expression assumes that the two variables (the numerator and denominator) are associated in a ratio standard manner. That is, the rate of FFA release into the bloodstream is directly proportional to the tissue mass such that the line of the regression passes through the origin (51). Unfortunately, the regression line fitting the data (FFA flux versus mass) does not have a slope of 1 or an intercept of 0. We believe that the use of the per-mass standards for FFA flux can result in misleading conclusions if the persons being studied differ significantly in lean body mass or resting energy expenditure (REE). Furthermore, expressing systemic FFA release per total fat mass implies that lipolytic homogeneity exists between the different fat depots, which, as will be shown below, is not the case in humans in vivo.

To address the unsettled issue of normal lipolysis, we investigated the association between basal FFA flux, body composition, REE, and hormone concentrations in 50 men and women with a wide range of body fat content and distribution (52). We found that FFA release rates were not significantly correlated with fat-free mass for the group as a whole but were highly correlated with REE as measured by indirect calorimetry. Multivariate regression analyses revealed that REE, sex, and plasma epinephrine predicted most of the interindividual variability in FFA release, whereas total fat mass and fat-free mass were not significant predictors. Indices of insulin resistance (fasting plasma insulin or plasma insulin area under the curve during oral glucose tolerance test) did not help predict FFA release after accounting for REE.

We also found that FFA flux was significantly greater in women than in men, so that for a given REE, FFA flux (as represented by palmitate) was ~40% higher in women. The greater FFA flux rates in women were not associated with increased plasma FFA concentrations or greater fatty acid oxidation as measured by indirect calorimetry. In fact, FFA flux in women significantly exceeded simultaneously measured total fatty acid oxidation. If FFA flux is greater in women than in men at a given metabolic rate and fatty acid oxidation rate, the portion of FFA going to nonoxidative pathways must be increased in women. The term "nonoxidative FFA clearance" has been used to describe this process (52). Potential sites of nonoxidative FFA disposal are adipose tissue, muscle, and liver; however, we do not know the relative contribution of these pathways or whether there are additional tissues that can take up fatty acids without oxidizing them extensively.

We propose that resting energy requirements are a major factor determining the rate at which adipose tissue releases FFA into the circulation in resting humans. This is supported by the observation that individuals in whom palmitate release rates were higher than their REE-predicted normal lipolysis had higher plasma palmitate concentrations and vice versa (52). The best approach to compare groups is to match them on the basis of REE, which usually can be accomplished by matching for fat-free mass. If this cannot be done, linear regression analysis using REE as a covariable can overcome the nonmatching issue. We suggest that comparing FFA release per unit of tissue mass be reserved for instances in which, for example, one is comparing lipolytic rates between different adipose depots in the same individual, rather than when comparing whole body rates between persons of differing characteristics.

Provided that cells that could be adversely affected by increased FFA concentrations are not the same cells responsible for the increased FFA clearance in women, these tissues (muscle, pancreatic ß cells, etc.) most likely cannot detect the greater FFA "flux" in women per se. Thus, to the extent that the cells/tissues responsible for the higher FFA clearance are not adversely affected, the fact that women have the same FFA concentration at higher flux rates gives them the advantage of having greater FFA availability without exposing "FFA-sensitive" tissues to higher and potentially harmful FFA concentrations. Because women do not seem to have adverse health consequences despite greater FFA flux, we suspect that the greater FFA clearance in women is not into tissues that can be harmed by high FFA exposure (e.g., muscle).

Regional adipose tissue FFA release
The study of the contribution of the major body fat depots to systemic FFA availability in humans is important for at least two reasons. First, it can help assess whether adipocyte heterogeneity exists in humans in vivo and whether regional differences in lipolysis during conditions typically found in everyday life, such as in the postabsorptive and postprandial states, are major determinants of body fat distribution. Second, evaluation of the contribution of visceral fat to hepatic and peripheral FFA availability can help us understand whether visceral adiposity could be causally related to insulin resistance through the FFA release pathway.

By combining measures of leg and splanchnic blood flow, FFA balance, body composition analysis, and the isotope dilution technique, we compared the lipolytic rates of upper-body and lower-body fat tissue in the postabsorptive state in lean men and women (53). We found that upper-body adipose tissue FFA release (µmol/kg fat/min) was significantly greater than lower-body FFA release in both sexes. In women, average FFA release rates from the upper-body and lower-body adipose tissue were 41 and 18 µmol/kg fat/min, respectively. Corresponding values in men were 53 and 27 µmol/kg fat/min. Therefore, upper-body fat is lipolytically more active than lower-body fat in both men and women. FFA release from leg, splanchnic, and upper-body subcutaneous fat averaged 20, 14, and 65% of systemic FFA flux, respectively. Correlations between systemic FFA flux and regional FFA release were similar between sexes. These results provided strong evidence of regional adipose tissue heterogeneity but also suggested that regional differences in postabsorptive lipolytic rates are not a mechanism for differences in body fat distribution between men and women. A recent study that compared fat mobilization from gluteal and subcutaneous abdominal adipose tissue in lean men in vivo confirmed that lower-body fat (stored either in legs or buttock) is sluggish in terms of fatty acid release (54).

We also studied UBO, LBO, and lean women in an attempt to examine regional FFA release in groups with distinct body fat distribution and adiposity levels (50). We found that postabsorptive leg fat FFA release rate (µmol/kg fat/min) was similar between UBO and LBO women and was efficiently downregulated in both groups compared with lean women. Upper-body FFA release was downregulated in LBO but not in UBO women. Net splanchnic FFA release was similar between obese and lean women. Collectively, these studies indicated that upper-body subcutaneous (nonsplanchnic) fat is the source of the excess FFA release in UBO women and the major contributor to systemic FFA release in both sexes in the resting postabsorptive state (50, 53).

Visceral fat has been suggested to be causally related to insulin resistance (55, 56). Little information on the contribution of visceral lipolysis to FFA delivery to the liver and systemic FFA availability exists in humans. If the contribution of visceral fat is high in upper-body obesity, this may indicate an important role for visceral lipolysis in hepatic and systemic FFA metabolism. Thus, understanding of visceral adipose tissue metabolism can help determine the potential importance of visceral fat depots in FFA-induced insulin resistance.

Unfortunately, measurement of net or new FFA release by the splanchnic region (using splanchnic arteriovenous balance and isotope dilution techniques) does not measure visceral adipose tissue lipolysis, because the liver removes a substantial portion of both visceral and systemic FFAs that flow through the portal vein. The FFAs entering the splanchnic bed from the systemic circulation can be partially taken up by nonhepatic splanchnic tissues and then by the liver, whereas visceral fat-derived FFAs are only taken up by the liver. This creates an unknown in the mathematical attempts to understand visceral lipolysis when dealing with hepatic vein data. We tested whether it is possible to predict the fraction of FFAs delivered to the liver that originate from visceral lipolysis by modeling data obtained from arterial and hepatic vein sampling without collecting portal vein blood (57). To this end, we performed studies of intrasplanchnic FFA kinetics in dogs with hepatic vein, portal vein, and arterial catheters (57). We found that the values predicted by the mathematical model were highly correlated with the observed values of visceral adipose tissue contribution of FFAs to hepatic FFA delivery. The model was especially good when plasma FFA concentrations were normal or high but was less good when FFA concentrations were low. On average, the model slightly overestimated the relative contribution of visceral fat (15% predicted vs. 11% measured).

Using this model (57), we measured regional and systemic lipolysis and predicted the proportionate contribution of visceral lipolysis to hepatic FFA delivery in 44 obese (24 women) and 24 lean (12 women) subjects in the postabsorptive state (58). The fraction of FFAs delivered to the liver originating from visceral fat lipolysis was positively related to visceral fat area, and this effect was greater in women than in men. When both sexes were combined, ~5–10% and 20–30% of hepatic FFA delivery originated from visceral lipolysis in lean and obese subjects, respectively. Corresponding values for the contribution of splanchnic FFA release to systemic FFAs were 6% and 15%. Therefore, the contribution of visceral lipolysis to peripheral FFAs is limited, even in obese adults, and is unlikely to be a cause of insulin resistance in extrahepatic tissues, although it could contribute to hepatic insulin resistance. In agreement with previous studies (50, 53), upper-body subcutaneous fat was by far the major contributor to systemic FFAs in both lean and obese humans under postabsorptive conditions (58). Figure 1 presents the fractional contribution of the leg, splanchnic, and upper-body subcutaneous fat to systemic FFA release. Notably, these proportions are similar to those observed in prolonged (60 h) fasting (59), suggesting that adipose tissue lipolysis in extended fasting is not regionally different from that which occurs after an overnight fast.


Figure 1
View larger version (14K):
[in this window]
[in a new window]
 
Fig. 1. Fractional contributions of leg, splanchnic, and nonsplanchnic upper-body (NSUB) fat to systemic FFA rate of appearance in the basal state (A) (* P < 0.05 vs. lean), during meal ingestion (B) (values of lean and obese individuals cannot be compared directly because they are derived from different studies), and during physiological hyperinsulinemia (C). Values are means ± SEM. Data are from references 58 (A), 64, 65 (B), and 66 (C). LBO, lower-body obese; UBO, upper-body obese. Data from Basu A, et al. 2001. Am J Physiol Endocrinol Metab 280: E100–E1006, with permission.

 
As in the postabsorptive state, postprandial systemic FFA availability is increased in UBO compared with LBO or lean women (60). UBO women do not suppress endogenous FFA release as effectively as LBO and lean women, despite an exaggerated postprandial insulinemic response (60). Because of the strong association between visceral fat and glucose intolerance/dyslipidemia (6163), we investigated regional postprandial lipolysis to locate the source(s) of the excess FFAs in upper-body obesity (64). We found that the primary source of the excess FFAs in UBO women was upper-body subcutaneous fat rather than the splanchnic region. As under postabsorptive conditions (50, 53), upper-body subcutaneous fat contributed the majority of systemic FFAs in either UBO or LBO women. This is also the case for lean individuals (65). Figure 1 presents the fractional contribution of the leg, splanchnic, and upper-body subcutaneous fat to systemic FFA release in lean and obese subjects in the postprandial state. It has to be noted that the systemic FFAs released in these postprandial studies (64, 65) include both endogenous and meal-derived FFAs. When solely endogenous FFA release was examined in response to hyperglycemia and physiological hyperinsulinemia, upper-body subcutaneous fat still had the greatest contribution (~75%) to systemic FFA release even in overweight, diabetic patients with high amounts of visceral fat (66) (Fig. 1). Collectively, these results indicate that although visceral fat content is associated with impaired glucose and FFA metabolism, it is the subcutaneous upper-body fat region that supplies by far the major quantity of FFAs to the systemic circulation and, therefore, is more likely to be implicated in FFA-related metabolic abnormalities.

We should also point out that there are several body/tissue composition variables that correlate with insulin resistance. Abate et al. (67) found that abdominal subcutaneous fat was actually a better predictor of insulin resistance than visceral fat, consistent with our findings that most of the circulating FFAs come from upper-body subcutaneous fat. Others have noted that deep abdominal subcutaneous fat is a better correlate of insulin resistance than total abdominal subcutaneous fat (68). Intramyocellular lipid content (69) is reported to be a good predictor of peripheral insulin resistance, whereas intrahepatic fat is strongly associated with a reduced ability of insulin to suppress endogenous glucose production (70). Thus, in the absence of more mechanistic studies, controversy remains about the exact role of visceral fat in the metabolic complications of obesity.


    CONCLUDING REMARKS
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
The correlation between body and tissue fat content and metabolic disturbances such as hypertriglyceridemia and insulin resistance at the level of muscle and liver prompted much speculation regarding the underlying pathophysiology. The ability to go beyond measures of fat content and blood concentrations has allowed us to exclude or confirm some of the theories linking fatness with metabolic complications.

Specifically, much has been learned about the contribution of FFAs to systemic health and metabolic dysfunction during the past 10–20 years. Excess FFAs, created experimentally in lean, healthy adults, can recreate many of the metabolic abnormalities seen in visceral/upper-body obesity, a condition associated with excess FFAs. We now understand that systemic lipolysis and FFA concentrations are regulated in a sex-specific manner and are linked tightly to REE. Adipose tissue is heterogeneous with respect to lipolysis in vivo, yet the "hyperlipolysis" of visceral fat appears to be a myth born of the statistical link between visceral adiposity and metabolic complications. Upper-body subcutaneous fat is the source of excess systemic FFAs in both the fasted and fed conditions. Approaches to improving FFA metabolism in obesity include weight loss (71), inhibition of lipolysis (72), and thiazolidinediones (71).

We look forward to experimental innovations that will allow simpler measures of hepatic triglyceride kinetics (73) and intramyocellular triglyceride kinetics (74). By understanding the tissue kinetics and the exact processes by which these tissue stores relate to abnormal tissue function, we can begin to develop more specific treatment approaches.


    ACKNOWLEDGMENTS
 
This research was supported by National Institutes of Health Grants DK-40484, DK-45343, and DK50456 (to the Minnesota Obesity Center) and by the Mayo Foundation.

Submitted on April 5, 2006
Revised on May 3, 2006


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 ADVANCES IN METHODOLOGIES...
 APPLICATIONS AND RECENT FINDINGS
 CONCLUDING REMARKS
 REFERENCES
 
  1. Haslam, D. W., and W. P. James. 2005. Obesity. Lancet. 366: 1197–1209.[CrossRef][Medline]

  2. Hedley, A. A., C. L. Ogden, C. L. Johnson, M. D. Carroll, L. R. Curtin, and K. M. Flegal. 2004. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002. J. Am. Med. Assoc. 291: 2847–2850.[Abstract/Free Full Text]

  3. Green Paper. Promoting Healthy Diets and Physical Activity: A European Dimension for the Prevention of Overweight, Obesity and Chronic Diseases. Commission of the European Communities, Brussels, Belgium. December 8, 2005.

  4. Kim, S., and B. M. Popkin. 2006. Understanding the epidemiology of overweight and obesity—a real global public health concern. Int. J. Epidemiol. 35: 60–67 (discussion 81–82).[Free Full Text]

  5. Kelley, D. E., M. Mokan, J. A. Simoneau, and L. J. Mandarino. 1993. Interaction between glucose and free fatty acid metabolism in human skeletal muscle. J. Clin. Invest. 92: 91–98.[Medline]

  6. Rebrin, K., G. M. Steil, S. D. Mittelman, and R. N. Bergman. 1996. Causal linkage between insulin suppression of lipolysis and suppression of liver glucose output in dogs. J. Clin. Invest. 98: 741–749.[Medline]

  7. Steinberg, H. O., M. Tarshoby, R. Monestel, G. Hook, J. Cronin, A. Johnson, B. Bayazeed, and A. D. Baron. 1997. Elevated circulating free fatty acid levels impair endothelium-dependent vasodilation. J. Clin. Invest. 100: 1230–1239.[Medline]

  8. Zhou, Y. P., and V. E. Grill. 1994. Long-term exposure of rat pancreatic islets to fatty acids inhibits glucose-induced insulin secretion and biosynthesis through a glucose fatty acid cycle. J. Clin. Invest. 93: 870–876.[Medline]

  9. Lewis, G. F., K. D. Uffelman, L. W. Szeto, B. Weller, and G. Steiner. 1995. Interaction between free fatty acids and insulin in the acute control of very low density lipoprotein production in humans. J. Clin. Invest. 95: 158–166.[Medline]

  10. Canoy, D., R. Luben, A. Welch, S. Bingham, N. Wareham, N. Day, and K. T. Khaw. 2004. Fat distribution, body mass index and blood pressure in 22,090 men and women in the Norfolk cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study. J. Hypertens. 22: 2067–2074.[CrossRef][Medline]

  11. Heitmann, B. L., P. Frederiksen, and L. Lissner. 2004. Hip circumference and cardiovascular morbidity and mortality in men and women. Obes. Res. 12: 482–487.[Medline]

  12. Snijder, M. B., J. M. Dekker, M. Visser, L. M. Bouter, C. D. Stehouwer, J. S. Yudkin, R. J. Heine, G. Nijpels, and J. C. Seidell. 2004. Trunk fat and leg fat have independent and opposite associations with fasting and postload glucose levels: the Hoorn study. Diabetes Care. 27: 372–377.[Abstract/Free Full Text]

  13. Van Pelt, R. E., C. M. Jankowski, W. S. Gozansky, R. S. Schwartz, and W. M. Kohrt. 2005. Lower-body adiposity and metabolic protection in postmenopausal women. J. Clin. Endocrinol. Metab. 90: 4573–4578.[Abstract/Free Full Text]

  14. Heilbronn, L., S. R. Smith, and E. Ravussin. 2004. Failure of fat cell proliferation, mitochondrial function and fat oxidation results in ectopic fat storage, insulin resistance and type II diabetes mellitus. Int. J. Obes. Relat. Metab. Disord. 28 (Suppl. 4): 12–21.[CrossRef]

  15. Sonnenberg, G. E., G. R. Krakower, and A. H. Kissebah. 2004. A novel pathway to the manifestations of metabolic syndrome. Obes. Res. 12: 180–186.[Medline]

  16. Dandona, P., A. Aljada, and A. Bandyopadhyay. 2004. Inflammation: the link between insulin resistance, obesity and diabetes. Trends Immunol. 25: 4–7.[CrossRef][Medline]

  17. Frayn, K. N. 2005. Obesity and metabolic disease: is adipose tissue the culprit? Proc. Nutr. Soc. 64: 7–13.[CrossRef][Medline]

  18. Ruan, H., and H. F. Lodish. 2004. Regulation of insulin sensitivity by adipose tissue-derived hormones and inflammatory cytokines. Curr. Opin. Lipidol. 15: 297–302.[CrossRef][Medline]

  19. Bjorntorp, P., H. Bergman, E. Varnauskas, and B. Lindholm. 1969. Lipid mobilization in relation to body composition in man. Metabolism. 18: 840–851.[CrossRef][Medline]

  20. Wolfe, R. R., S. Klein, F. Carraro, and J. M. Weber. 1990. Role of triglyceride-fatty acid cycle in controlling fat metabolism in humans during and after exercise. Am. J. Physiol. 258: E382–E389.

  21. Campbell, P. J., M. G. Carlson, J. O. Hill, and N. Nurjhan. 1992. Regulation of free fatty acid metabolism by insulin in humans: role of lipolysis and reesterification. Am. J. Physiol. 263: E1063–E1069.[Medline]

  22. Bougneres, P., C. L. Stunff, C. Pecqueur, E. Pinglier, P. Adnot, and D. Ricquier. 1997. In vivo resistance of lipolysis to epinephrine. A new feature of childhood onset obesity. J. Clin. Invest. 99: 2568–2573.[Medline]

  23. van der Valk, M., G. Allick, G. J. Weverling, J. A. Romijn, M. T. Ackermans, J. M. Lange, B. L. van Eck-Smit, C. van Kuijk, E. Endert, H. P. Sauerwein, et al. 2004. Markedly diminished lipolysis and partial restoration of glucose metabolism, without changes in fat distribution after extended discontinuation of protease inhibitors in severe lipodystrophic human immunodeficient virus-1-infected patients. J. Clin. Endocrinol. Metab. 89: 3554–3560.[Abstract/Free Full Text]

  24. Jacobs, K. A., G. A. Casazza, S. H. Suh, M. A. Horning, and G. A. Brooks. 2005. Fatty acid reesterification but not oxidation is increased by oral contraceptive use in women. J. Appl. Physiol. 98: 1720–1731.[Abstract/Free Full Text]

  25. Jensen, M. D. 1999. Regional glycerol and free fatty acid metabolism before and after meal ingestion. Am. J. Physiol. 276: E863–E869.

  26. Van Hall, G., J. Bulow, M. Sacchetti, N. Al Mulla, D. Lyngso, and L. Simonsen. 2002. Regional fat metabolism in human splanchnic and adipose tissues: the effect of exercise. J. Physiol. 543: 1033–1046.[Abstract/Free Full Text]

  27. Issekutz, B., Jr., W. M. Bortz, H. I. Miller, and P. Paul. 1967. Turnover rate of plasma FFA in humans and in dogs. Metabolism. 16: 1001–1009.[CrossRef][Medline]

  28. Nestel, P. J., and H. M. Whyte. 1968. Plasma free fatty acid and triglyceride turnover in obesity. Metabolism. 17: 1122–1128.[CrossRef][Medline]

  29. Eaton, R. P., M. Berman, and D. Steinberg. 1969. Kinetic studies of plasma free fatty acid and triglyceride metabolism in man. J. Clin. Invest. 48: 1560–1579.[Medline]

  30. Lillioja, S., J. Foley, C. Bogardus, D. Mott, and B. V. Howard. 1986. Free fatty acid metabolism and obesity in man: in vivo in vitro comparisons. Metabolism. 35: 505–514.[CrossRef][Medline]

  31. Miles, J. M., M. G. Ellman, K. L. McClean, and M. D. Jensen. 1987. Validation of a new method for determination of free fatty acid turnover. Am. J. Physiol. 252: E431–E438.

  32. Jensen, M. D., P. J. Rogers, M. G. Ellman, and J. M. Miles. 1988. Choice of infusion-sampling mode for tracer studies of free fatty acid metabolism. Am. J. Physiol. 254: E562–E565.

  33. Jensen, M. D., V. Heiling, and J. M. Miles. 1990. Measurement of non-steady-state free fatty acid turnover. Am. J. Physiol. 258: E103–E108.

  34. Boden, G., X. Chen, R. A. Desantis, and Z. Kendrick. 1993. Effects of insulin on fatty acid reesterification in healthy subjects. Diabetes. 42: 1588–1593.[Abstract]

  35. Martin, W. H., 3rd, G. P. Dalsky, B. F. Hurley, D. E. Matthews, D. M. Bier, J. M. Hagberg, M. A. Rogers, D. S. King, and J. O. Holloszy. 1993. Effect of endurance training on plasma free fatty acid turnover and oxidation during exercise. Am. J. Physiol. 265: E708–E714.

  36. Klein, S., E. F. Coyle, and R. R. Wolfe. 1994. Fat metabolism during low-intensity exercise in endurance-trained and untrained men. Am. J. Physiol. 267: E934–E940.

  37. Friedlander, A. L., G. A. Casazza, M. A. Horning, T. F. Buddinger, and G. A. Brooks. 1998. Effects of exercise intensity and training on lipid metabolism in young women. Am. J. Physiol. 275: E853–E863.

  38. Tchernof, A., R. D. Starling, J. D. Walston, A. R. Shuldiner, R. V. Dvorak, K. Silver, D. E. Matthews, and E. T. Poehlman. 1999. Obesity-related phenotypes and the beta3-adrenoceptor gene variant in postmenopausal women. Diabetes. 48: 1425–1428.[Abstract]

  39. Zuijdgeest-van Leeuwen, S. D., J. W. van den Berg, J. L. Wattimena, A. van der Gaast, G. R. Swart, J. H. Wilson, and P. C. Dagnelie. 2000. Lipolysis and lipid oxidation in weight-losing cancer patients and healthy subjects. Metabolism. 49: 931–936.[CrossRef][Medline]

  40. Horowitz, J. F., and S. Klein. 2000. Whole body and abdominal lipolytic sensitivity to epinephrine is suppressed in upper body obese women. Am. J. Physiol. Endocrinol. Metab. 278: E1144–E1152.[Abstract/Free Full Text]

  41. Guo, Z., S. Nielsen, B. Burguera, and M. D. Jensen. 1997. Free fatty acid turnover measured using ultralow doses of [U-13C]palmitate. J. Lipid Res. 38: 1888–1895.[Abstract]

  42. Mazess, R. B., H. S. Barden, J. P. Bisek, and J. Hanson. 1990. Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition. Am. J. Clin. Nutr. 51: 1106–1112.[Abstract/Free Full Text]

  43. Jensen, M. D., J. A. Kanaley, J. E. Reed, and P. F. Sheedy. 1995. Measurement of abdominal and visceral fat with computed tomography and dual-energy x-ray absorptiometry. Am. J. Clin. Nutr. 61: 274–278.[Abstract/Free Full Text]

  44. Birkenhager, J. C., and T. Tjabbes. 1969. Turnover rate of plasma FFA and rate of esterification of plasma FFA to plasma triglycerides in obese humans before and after weight reduction. Metabolism. 18: 18–32.[CrossRef][Medline]

  45. Campbell, P. J., M. G. Carlson, and N. Nurjhan. 1994. Fat metabolism in human obesity. Am. J. Physiol. 266: E600–E605.

  46. Horowitz, J. F., S. W. Coppack, D. Paramore, P. E. Cryer, G. Zhao, and S. Klein. 1999. Effect of short-term fasting on lipid kinetics in lean and obese women. Am. J. Physiol. 276: E278–E284.

  47. Mittendorfer, B., D. A. Fields, and S. Klein. 2004. Excess body fat in men decreases plasma fatty acid availability and oxidation during endurance exercise. Am. J. Physiol. Endocrinol. Metab. 286: E354–E362.[Abstract/Free Full Text]

  48. Bjorntorp, P., H. Bergman, and E. Varnauskas. 1969. Plasma free fatty acid turnover rate in obesity. Acta Med. Scand. 185: 351–356.[Medline]

  49. Jensen, M. D., M. W. Haymond, R. A. Rizza, P. E. Cryer, and J. M. Miles. 1989. Influence of body fat distribution on free fatty acid metabolism in obesity. J. Clin. Invest. 83: 1168–1173.[Medline]

  50. Martin, M. L., and M. D. Jensen. 1991. Effects of body fat distribution on regional lipolysis in obesity. J. Clin. Invest. 88: 609–613.[Medline]

  51. Tanner, J. M. 1949. Fallacy of per-weight and per-surface area standards, and their relation to spurious correlation. J. Appl. Physiol. 2: 1–15.[Free Full Text]

  52. Nielsen, S., Z. Guo, J. B. Albu, S. Klein, P. C. O'Brien, and M. D. Jensen. 2003. Energy expenditure, sex, and endogenous fuel availability in humans. J. Clin. Invest. 111: 981–988.[CrossRef][Medline]

  53. Jensen, M. D., and C. M. Johnson. 1996. Contribution of leg and splanchnic free fatty acid (FFA) kinetics to postabsorptive FFA flux in men and women. Metabolism. 45: 662–666.[CrossRef][Medline]

  54. Tan, G. D., G. H. Goossens, S. M. Humphreys, H. Vidal, and F. Karpe. 2004. Upper and lower body adipose tissue function: a direct comparison of fat mobilization in humans. Obes. Res. 12: 114–118.[Medline]

  55. Bjorntorp, P. 1990. "Portal" adipose tissue as a generator of risk factors for cardiovascular disease and diabetes. Arteriosclerosis. 10: 493–496.[Free Full Text]

  56. Lebovitz, H. E., and M. A. Banerji. 2005. Point. Visceral adiposity is causally related to insulin resistance. Diabetes Care. 28: 2322–2325.[Free Full Text]

  57. Jensen, M. D., S. Cardin, D. Edgerton, and A. Cherrington. 2003. Splanchnic free fatty acid kinetics. Am. J. Physiol. Endocrinol. Metab. 284: E1140–E1148.[Abstract/Free Full Text]

  58. Nielsen, S., Z. Guo, C. M. Johnson, D. D. Hensrud, and M. D. Jensen. 2004. Splanchnic lipolysis in human obesity. J. Clin. Invest. 113: 1582–1588.[CrossRef][Medline]

  59. Jensen, M. D., K. Ekberg, and B. R. Landau. 2001. Lipid metabolism during fasting. Am. J. Physiol. Endocrinol. Metab. 281: E789–E793.[Abstract/Free Full Text]

  60. Roust, L. R., and M. D. Jensen. 1993. Postprandial free fatty acid kinetics are abnormal in upper body obesity. Diabetes. 42: 1567–1573.[Abstract]

  61. Banerji, M. A., N. Faridi, R. Atluri, R. L. Chaiken, and H. E. Lebovitz. 1999. Body composition, visceral fat, leptin, and insulin resistance in Asian Indian men. J. Clin. Endocrinol. Metab. 84: 137–144.[Abstract/Free Full Text]

  62. Rendell, M., U. L. Hulthen, C. Tornquist, L. Groop, and I. Mattiasson. 2001. Relationship between abdominal fat compartments and glucose and lipid metabolism in early postmenopausal women. J. Clin. Endocrinol. Metab. 86: 744–749.[Abstract/Free Full Text]

  63. Nguyen-Duy, T. B., M. Z. Nichaman, T. S. Church, S. N. Blair, and R. Ross. 2003. Visceral fat and liver fat are independent predictors of metabolic risk factors in men. Am. J. Physiol. Endocrinol. Metab. 284: E1065–E1071.[Abstract/Free Full Text]

  64. Guo, Z., D. D. Hensrud, C. M. Johnson, and M. D. Jensen. 1999. Regional postprandial fatty acid metabolism in different obesity phenotypes. Diabetes. 48: 1586–1592.[Abstract]

  65. Nguyen, T. T., A. H. Mijares, C. M. Johnson, and M. D. Jensen. 1996. Postprandial leg and splanchnic fatty acid metabolism in nonobese men and women. Am. J. Physiol. 271: E965–E972.

  66. Basu, A., R. Basu, P. Shah, A. Vella, R. A. Rizza, and M. D. Jensen. 2001. Systemic and regional free fatty acid metabolism in type 2 diabetes. Am. J. Physiol. Endocrinol. Metab. 280: E1000–E1006.[Abstract/Free Full Text]

  67. Abate, N., A. Garg, R. M. Peshock, J. Stray-Gundersen, and S. M. Grundy. 1995. Relationships of generalized and regional adiposity to insulin sensitivity in men. J. Clin. Invest. 96: 88–98.[Medline]

  68. Kelley, D. E., F. L. Thaete, F. Troost, T. Huwe, and B. H. Goodpaster. 2000. Subdivisions of subcutaneous abdominal adipose tissue and insulin resistance. Am. J. Physiol. Endocrinol. Metab. 278: E941–E948.[Abstract/Free Full Text]

  69. Phillips, D. I., S. Caddy, V. Ilic, B. A. Fielding, K. N. Frayn, A. C. Borthwick, and R. Taylor. 1996. Intramuscular triglyceride and muscle insulin sensitivity: evidence for a relationship in nondiabetic subjects. Metabolism. 45: 947–950.[CrossRef][Medline]

  70. Seppala-Lindroos, A., S. Vehkavaara, A. M. Hakkinen, T. Goto, J. Westerbacka, A. Sovijarvi, J. Halavaara, and H. Yki-Jarvinen. 2002. Fat accumulation in the liver is associated with defects in insulin suppression of glucose production and serum free fatty acids independent of obesity in normal men. J. Clin. Endocrinol. Metab. 87: 3023–3028.[Abstract/Free Full Text]

  71. Shadid, S., and M. D. Jensen. 2006. Pioglitazone increases non-esterified fatty acid clearance in upper body obesity. Diabetologia. 49: 149–157.[CrossRef][Medline]

  72. Bajaj, M., S. Suraamornkul, A. Romanelli, G. W. Cline, L. J. Mandarino, G. I. Shulman, and R. A. DeFronzo. 2005. Effect of a sustained reduction in plasma free fatty acid concentration on intramuscular long-chain fatty acyl-CoAs and insulin action in type 2 diabetic patients. Diabetes. 54: 3148–3153.[Abstract/Free Full Text]

  73. Farquhar, J. W., R. C. Gross, R. M. Wagner, and G. M. Reaven. 1965. Validation of an incompletely coupled two-compartment nonrecycling catenary model for turnover of liver and plasma triglyceride in man. J. Lipid Res. 6: 119–134.[Abstract]

  74. Guo, Z., B. Burguera, and M. D. Jensen. 2000. Kinetics of intramuscular triglyceride fatty acids in exercising humans. J. Appl. Physiol. 89: 2057–2064.[Abstract/Free Full Text]


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
J. Lipid Res.Home page
M. R. Robciuc, E. Tahvanainen, M. Jauhiainen, and C. Ehnholm
Quantitation of serum angiopoietin-like proteins 3 and 4 in a Finnish population sample
J. Lipid Res., April 1, 2010; 51(4): 824 - 831.
[Abstract] [Full Text] [PDF]


Home page
Physiol. Rev.Home page
G. D. Lopaschuk, J. R. Ussher, C. D. L. Folmes, J. S. Jaswal, and W. C. Stanley
Myocardial Fatty Acid Metabolism in Health and Disease
Physiol Rev, January 1, 2010; 90(1): 207 - 258.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
M. R Soeters, N. M Lammers, P. F Dubbelhuis, M. Ackermans, C. F Jonkers-Schuitema, E. Fliers, H. P Sauerwein, J. M Aerts, and M. J Serlie
Intermittent fasting does not affect whole-body glucose, lipid, or protein metabolism
Am. J. Clinical Nutrition, November 1, 2009; 90(5): 1244 - 1251.
[Abstract] [Full Text] [PDF]


Home page
Endocr. Rev.Home page
N. Stefan, K. Kantartzis, and H.-U. Haring
Causes and Metabolic Consequences of Fatty Liver
Endocr. Rev., December 1, 2008; 29(7): 939 - 960.
[Abstract] [Full Text] [PDF]


Home page
J EndocrinolHome page
D. P Macfarlane, S. Forbes, and B. R Walker
Glucocorticoids and fatty acid metabolism in humans: fuelling fat redistribution in the metabolic syndrome
J. Endocrinol., May 1, 2008; 197(2): 189 - 204.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
C. W. Yeckel, J. Dziura, and L. DiPietro
Abdominal Obesity in Older Women: Potential Role for Disrupted Fatty Acid Reesterification in Insulin Resistance
J. Clin. Endocrinol. Metab., April 1, 2008; 93(4): 1285 - 1291.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
L. J. M. van Nimwegen, J. G. Storosum, R. M. E. Blumer, G. Allick, H. W. Venema, L. de Haan, H. Becker, T. van Amelsvoort, M. T. Ackermans, E. Fliers, et al.
Hepatic Insulin Resistance in Antipsychotic Naive Schizophrenic Patients: Stable Isotope Studies of Glucose Metabolism
J. Clin. Endocrinol. Metab., February 1, 2008; 93(2): 572 - 577.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
R. H. Nelson, R. Basu, C. M. Johnson, R. A. Rizza, and J. M. Miles
Splanchnic Spillover of Extracellular Lipase Generated Fatty Acids in Overweight and Obese Humans
Diabetes, December 1, 2007; 56(12): 2878 - 2884.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
S. Murosaki, T. R. Lee, K. Muroyama, E. S. Shin, S. Y. Cho, Y. Yamamoto, and S. J. Lee
A Combination of Caffeine, Arginine, Soy Isoflavones, and L-Carnitine Enhances Both Lipolysis and Fatty Acid Oxidation in 3T3-L1 and HepG2 Cells in Vitro and in KK Mice in Vivo
J. Nutr., October 1, 2007; 137(10): 2252 - 2257.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Endocrinol. Metab.Home page
G. R. Steinberg, B. E. Kemp, and M. J. Watt
Adipocyte triglyceride lipase expression in human obesity
Am J Physiol Endocrinol Metab, October 1, 2007; 293(4): E958 - E964.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
M. R. Soeters, H. P. Sauerwein, J. E. Groener, J. M. Aerts, M. T. Ackermans, J. F. C. Glatz, E. Fliers, and M. J. Serlie
Gender-Related Differences in the Metabolic Response to Fasting
J. Clin. Endocrinol. Metab., September 1, 2007; 92(9): 3646 - 3652.
[Abstract] [Full Text] [PDF]


Home page
Circ. Res.Home page
G. D. Lopaschuk, C. D.L. Folmes, and W. C. Stanley
Cardiac Energy Metabolism in Obesity
Circ. Res., August 17, 2007; 101(4): 335 - 347.
[Abstract] [Full Text] [PDF]


Home page
Eur J EndocrinolHome page
R. Weiss
Fat distribution and storage: how much, where, and how?
Eur. J. Endocrinol., August 1, 2007; 157(suppl_1): S39 - S45.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Endocrinol. Metab.Home page
C. N. Lumeng, S. M. Deyoung, and A. R. Saltiel
Macrophages block insulin action in adipocytes by altering expression of signaling and glucose transport proteins
Am J Physiol Endocrinol Metab, January 1, 2007; 292(1): E166 - E174.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
R600011-JLR200v1
R600011-JLR200v2
47/8/1643    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Koutsari, C.
Right arrow Articles by Jensen, M. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Koutsari, C.
Right arrow Articles by Jensen, M. D.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 All ASBMB Journals   Journal of Biological Chemistry 
 Molecular and Cellular Proteomics   ASBMB Today 
Advertisement
spacer
Advertisement
Advertisement