help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
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 arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Iozzo, P.
Right arrow Articles by Knuuti, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Iozzo, P.
Right arrow Articles by Knuuti, J.
The Journal of Clinical Endocrinology & Metabolism Vol. 89, No. 7 3496-3502
Copyright © 2004 by The Endocrine Society

Defective Liver Disposal of Free Fatty Acids in Patients with Impaired Glucose Tolerance

Patricia Iozzo, Anu K. Turpeinen, Teemu Takala, Vesa Oikonen, Jörgen Bergman, Tove Grönroos, Ele Ferrannini, Pirjo Nuutila and Juhani Knuuti

Turku PET Centre (P.I., V.O., J.B., T.G., P.N., J.K.), Department of Nuclear Medicine, and Department of Medicine (T.T., P.N.), University of Turku, FI-20521 Turku, Finland; PET Centre (P.I., E.F.), National Research Council, Institute of Clinical Physiology, 56100 Pisa, Italy; Department of Medicine (A.K.T.), University Hospital of Kuopio, FIN-70210 Kuopio, Finland; and Department of Internal Medicine (E.F.), University of Pisa School of Medicine, 56100 Pisa, Italy

Address all correspondence and requests for reprints to: Patricia Iozzo, M.D., Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56100 Pisa, Italy. E-mail: patricia.iozzo{at}ifc.cnr.it.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The liver exchanges high fluxes of glucose and free fatty acids (FFA) and is one main site of their reciprocal regulation. Acute exposure to hyperglycemia and hyperinsulinemia has been shown to reduce splanchnic ß-oxidation in healthy humans. We investigated whether a spontaneous condition of chronic mild hyperglycemia and hyperinsulinemia affects liver FFA uptake. Hepatic FFA influx rate constant (LKi) was measured after a 12–15-h fast in 10 patients with impaired glucose tolerance (IGT) and eight control subjects using positron emission tomography in combination with the long-chain FFA analog 14(R,S)-[18F]fluoro-6-thia-heptadecanoic acid. Compared with controls, IGT patients had higher serum insulin, glucose, and triglyceride levels (1.71 ± 0.24 vs. 0.59 ± 0.06 mmol/liter, P < 0.001), lower high-density lipoprotein (1.04 ± 0.11 vs. 1.42 ± 0.13 mmol/liter, P < 0.05), and similar FFA levels (0.59 ± 0.06 vs. 0.56 ± 0.05 mmol/liter–1, P = not significant). LKi was significantly reduced in IGT (0.288 ± 0.014 min–1) compared with control subjects (0.341 ± 0.014 min–1, P < 0.02). LKi was negatively correlated with plasma glucose (r = 0.51, P < 0.03), glycosylated hemoglobin (r = 0.55, P < 0.02), and blood lactate levels (r = 0.52, P < 0.03).

We conclude that, in IGT patients, the ability of the liver to extract FFA from the circulation appears to be impaired. The reciprocal relationship between hepatic FFA extraction and glucose/lactate flux may derive from intrahepatic substrate competition.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
HIGH CIRCULATING LEVELS of free fatty acids (FFA) are commonly associated with insulin resistance and diabetes and have been implicated in the pathogenesis and/or progression of these disorders (1, 2, 3, 4). Their adverse metabolic effects include down-regulation of insulin-mediated glucose disposal in the whole body (4, 5, 6), in the myocardium (6, 7, 8), and in skeletal muscle (6), enhanced hepatic glucose (5, 9, 10) and very low-density lipoprotein production (11), and dysregulation of insulin secretion and clearance (12, 13).

The liver is an important site of FFA removal from the blood. Animal studies conducted during the 1960–1970s have shown that approximately one fourth to one third of isotopically labeled FFAs are extracted by the liver from perfusing blood and are subsequently retained within the organ (14, 15). Their intracellular fate is critically dependent on nutritional status because ß-oxidation prevails in the postabsorptive state, whereas incorporation into triglycerides predominates postprandially (16).

Very little is known about the regulation of hepatic uptake of circulating FFAs in vivo, especially in humans. Splanchnic catheterization studies measuring the net balance between FFA uptake and release across multiple organs can provide some information. However, although there is general agreement that an acute rise in plasma glucose and insulin levels impairs splanchnic ß-oxidation (17, 18, 19, 20, 21, 22), controversial findings have been reported as to whether FFA uptake and extraction also are affected; they were either unchanged during modest hyperglycemia (17) or reduced after a glucose load (18, 19, 20) and were increased under conditions of enhanced hepatic FFA oxidation, such as exercise (21, 22). In hepatic balance studies in rats, FFA fractional extraction was stimulated by prolonged starvation, a condition associated with increased ß-oxidation (23). Because of the high proportion of circulating FFA normally disposed of by the liver and the potential contribution of this organ to the excess plasma levels observed in insulin resistance states, there is a need for a better understanding of this function in man.

The present study was designed to investigate whether an impairment of liver FFA fractional extraction and/or uptake is present in patients with impaired glucose tolerance (IGT), i.e. a model of spontaneous, chronic hyperglycemia and insulin resistance. Tissue measurements were performed noninvasively by using the FFA analog 14(R,S)- [18F]fluoro-6-thia-heptadecanoic acid ([18F]FTHA) and positron emission tomography.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects

Ten male subjects with IGT by World Health Organization criteria (24) participated in the study. Eight healthy men with no family history of diabetes and normal physical examination, blood pressure, and routine blood tests served as controls. None of the patients or control subjects was taking any medication. Written informed consent was obtained from all subjects after the study was approved by the Ethics Committee of Turku University Central Hospital and Kuopio University Hospital. FFA uptake data in skeletal muscle and myocardium of some of these patients have been previously published (25).

Positron emission tomography scanning

Studies were conducted after a 12–15-h overnight fast using an ECAT 931–08/12 scanner (CTI Inc, Knoxville, TN). [18F]FTHA was synthesized as previously described, leading to a radiochemical purity greater than 98% (26). Two venous catheters were inserted, one into an antecubital vein for tracer injection and one into a heated vein (~70 C) for sampling of arterialized venous blood. After optimization of the subject’s position, transmission scans were obtained with a 68Ge removable ring source to correct all subsequent emission data for tissue attenuation of {gamma} photons. Then, [18F]FTHA (171 ± 5 MBq) was injected, and a 32-min dynamic scan was carried out to image the liver and the cardiac chamber. Arterialized blood samples were collected throughout the study to measure glucose, insulin, FFA, and plasma [18F]FTHA metabolites as previously described (25, 26). Average values of plasma glucose, insulin, FFA, and lactate during the scan were used in the analyses.

Image processing

All sinograms were corrected for tissue attenuation, dead time, and decay and reconstructed through standard reconstruction algorithms. Final in-plane resolution was 9.5 mm full width at half maximum. Large circular regions of interest for hepatic [18F]FTHA time-activity measurements were placed on two to four consecutive image planes in the right lobe of the liver. Such measurements were averaged to generate one tissue time-activity curve in each subject. Smaller regions of interest were drawn on two adjacent image planes in the left ventricular chamber of the heart for the measurement of radioactivity in arterial blood; special attention was paid to avoid contamination from surrounding myocardial tissue. Input functions were corrected for time delay by comparison with corresponding tissue time-activity curves, based on previously proposed methods (27). In our application, a two-tissue compartment model was used (27), and dispersion was excluded from the model.

Data analysis

The nonmetabolized fraction of [18F]FTHA was determined by high-performance liquid chromatography from nine blood samples, and these data were used to correct the input function. Arterial and tissue time activity curves were analyzed graphically to derive the influx rate constant in liver (LKi; min–1), which is given by the slope of the linear fit of the data.

Graphical analysis was developed to quantify irreversible regional uptake of a test substance by using its sequential tissue and blood concentrations (28); it was subsequently modified to account for situations of incomplete tracer trapping (29). In this model, a graph is generated by plotting the following equation:

where Ct is tissue concentration of the test substance at each sampling time point (t) and Cp is its plasma concentration. When net tracer trapping occurs, the two variables describe a linear relationship after a few minutes of equilibration. The influx rate constant is then given by the slope of the linear fit of the data, after excluding the first few values. The model (28, 29, 30) does not presuppose, and therefore, it is independent of compartment number and configuration and, thus, the particular anatomic details of the system; original assumptions are 1) the test substance is derived from plasma; 2) its plasma concentration may change in time; 3) it enters, but does not perturb, a system, which is in steady state and which includes reversible exchanges, and at least one functionally irreversible compartment; 4) it is transferred by first-order kinetics, with rate constant Ki; 5) it is not initially present in the system; and 6) its metabolites are trapped and measurable in the irreversible compartment.

LKi is a clearance parameter (ml·min–1·ml–1 of tissue) and can be used here interchangeably with liver FFA extraction fraction (LFEF) given that the latter is related to the former through plasma flow, which approximates unity (i.e. 1 liter/min) in the liver (31). The liver FFA uptake index (LFU) was computed as the product of LKi and plasma FFA levels. No lumped constant term was used.

Maximal aerobic power was determined using oxygen detectors and a cycle ergometer (Model 800S; Ergoline, Mijnhardt, The Netherlands), with a continuous incremental protocol. Body fat content was estimated from four skinfolds (subscapular, triceps brachii, biceps brachii, and crista iliaca), as measured with a caliper.

Statistical analysis

All data are presented as mean ± SEM. One-way ANOVA was used for group comparisons. Regression analyses were carried out according to standard techniques. Significance was set at P < 0.05.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Patients and healthy subjects were matched for age, but IGT subjects had higher body mass index and percent fat mass, lower maximal aerobic power, and a tendency to have higher blood pressure and glycosylated hemoglobin values (Table 1Go). In addition, IGT subjects had higher circulating levels of glucose, insulin, and triglycerides, and lower high-density lipoprotein cholesterol levels, whereas serum FFA levels were similar (Table 2Go). The homeostasis model assessment index (32) suggested significant insulin resistance in the IGT group.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Clinical characteristics

 

View this table:
[in this window]
[in a new window]
 
TABLE 2. Metabolic data

 
Despite previous screening, on the morning of the study, three IGT subjects presented fasting plasma glucose values in the diabetic range (>7.0 mmol/liter). Therefore, statistical analyses of liver data were performed, once for all IGT patients and once after including these subjects (labeled as diabetic) in a separate subgroup.

Liver data

Rapid accumulation of tracer in the liver was observed with time, leading to progressively higher tissue to blood radioactivity ratios. Linear fit of the data were similar in the two groups, with mean r values exceeding 0.99 in both groups (0.998 ± 0.001 vs. 0.993 ± 0.004, P = not significant), as exemplified in Fig. 1Go.



View larger version (16K):
[in this window]
[in a new window]
 
FIG. 1. Linear fit to the data using graphical analysis, which shows high concordance between measured and fitted results, indicating metabolic trapping for the duration of the present scanning time. Ct, Radioactivity concentration in tissue at each sampling time point (t); Cp, radioactivity concentration in plasma at each sampling time point.

 
Liver fractional FFA extraction (LKi or LFEF) was significantly reduced in IGT patients (0.288 ± 0.014 min–1) compared with healthy subjects (0.341 ± 0.014 min–1, P < 0.02; Fig. 2Go). Separation of the more hyperglycemic subjects into a separate group (metabolic data of subgroups are shown in Table 3Go) did not change this result despite the small sample size. Accordingly, individual data showed that LFEF was inversely related to plasma glucose and glycosylated hemoglobin levels (Fig. 3Go); this correlation with plasma glucose levels was even stronger after excluding the one outlier with higher fasting glycemia seen in Fig. 3Go (r = 0.58; P = 0.01).



View larger version (21K):
[in this window]
[in a new window]
 
FIG. 2. Left, LKi (top) and LFU (bottom) in healthy subjects and all IGT patients (dark grey bars). Right, the IGT group was stratified according to the fasting plasma glucose concentration measured on the day of the study (black bars). $, P = 0.02, and §, P = 0.087 vs. control group; *, P = 0.0009 vs. control, and P = 0.018 vs. IGT.

 

View this table:
[in this window]
[in a new window]
 
TABLE 3. Metabolic data in IGT subgroups

 


View larger version (19K):
[in this window]
[in a new window]
 
FIG. 3. Correlation between LKi and fasting plasma glucose and lactate concentrations in the whole study population ({triangleup}, healthy subjects; {square}, IGT patients).

 
LFU values showed a similar pattern (Fig. 2Go), which, however, fell just short of statistical significance. As shown by the individual values (Fig. 4Go), this result was entirely accounted for by one outlier, in whom LFU exceeded the mean value of healthy subjects due to higher serum FFA levels (~0.9 mmol/liter).



View larger version (13K):
[in this window]
[in a new window]
 
FIG. 4. Individual values and regression lines of LKi and LFU in IGT patients and healthy subjects.

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
To our knowledge, this is the first study in which selective liver FFA uptake and fractional extraction were assessed in IGT patients. Our IGT group presented all the features of the metabolic syndrome, including being overweight and having high plasma triglyceride and low high-density lipoprotein cholesterol levels, hyperinsulinemia, insulin resistance, and a slight increase in blood pressure (33, 34). Circulating FFAs were not elevated presumably because of the marked hyperinsulinemia. The occurrence of similar FFA levels in the two study groups provided the advantage of excluding any interference of the substrate (by mass action effect) on measured fractional FFA extraction.

The current results demonstrate that chronic, mild hyperglycemia, fasting hyperinsulinemia, and insulin resistance are associated with a reduced uptake and fractional extraction of circulating FFA by the liver. Interestingly, the defect was even more pronounced in those few patients who had higher fasting plasma glucose levels on the day of the study, thus supporting a quantitative relationship between hyperglycemia and LFEF (Fig. 2Go). At normal serum FFA levels, LFU was reduced in the majority of IGT subjects compared with the mean value of healthy subjects, while being increased in one in whom the higher serum FFA levels were likely overriding the LFEF impairment.

Given a liver plasma flow of 0.9 liter/min, a plasma FFA level of 0.5 mmol/liter, and a hepatic FFA extraction ratio of 0.35, liver FFA uptake averages 0.16 mmol/min (or 0.2 µmol/min/ml of liver volume, Fig. 1Go), which corresponds to approximately 20% of the fasting FFA turnover rate of healthy adults (35). Consequently, it is expected that a reduction in LFEF, such as observed in our IGT group, should increase fasting FFA concentrations only marginally; this is in keeping with our findings.

In the fasting state, ß-oxidation is the primary route for intracellular FFA utilization (16), and FFA uptake is dependent on the efficiency of this metabolic pathway. In the splanchnic bed as a whole, a defect in fatty acid oxidation has been induced in healthy subjects by acutely raising plasma glucose and insulin levels (17). Our data support that this mechanism may be operative in the liver of patients with chronic, spontaneous hyperglycemia and insulin resistance. This interpretation is in line with most previous reports, which show hepatic FFA fractional extraction and oxidation to be concordantly decreased after a glucose load (18, 19, 20) and LFEF to be increased under conditions of enhanced hepatic FFA oxidation, such as exercise (splanchnic) (21, 22) and starvation (hepatic) (23). The discrepancies arising from balance studies of the splanchnic area (17, 18, 19, 20) might be due to differences in lipid metabolism between hepatic and extrahepatic tissues; this would also explain the lack of a correlation between ß-oxidation and FFA uptake reported in some of these studies (17). Additionally, differences in study design, including the acute nature of the experiment and the characteristics of the study population (17, 18, 19), or the use of different animal (20, 22, 23) and disease models (21, 22) in previous studies make it difficult to compare their results.

Skeletal muscle FFA extraction (25, 36) and/or oxidation (36, 37, 38) also have been reported to be impaired in insulin resistance states. Together with this evidence, our data do not seem to support that competition between FFA and glucose for oxidation is a major mechanism for the peripheral insulin resistance seen in IGT as long as circulating FFA are not increased. Conversely, increased lactate flux from peripheral tissues to the liver can stimulate gluconeogenesis and increase the intracellular availability of precursors for both FFA re-esterification and, to a lesser extent, de novo fatty acid synthesis. Also, glucose entry and oxidation are strongly self-regulated processes in hepatocytes, as opposed to FFA access into mitochondria, which is transfer limited (39); the latter process seems to be down-regulated by glucose through the suppression of carnitine-palmitoyl transferase-1 activity (40). According to this view, mild hyperglycemia diverts FFA away from oxidation (17), resulting in lipid accumulation within the liver (10) and enhanced export of triglyceride-rich lipoproteins into the plasma compartment (Table 2Go). Such reverse substrate competition (41) appears to prevail in prediabetic subjects with normal plasma FFA.

Hyperinsulinemia was marked in our IGT patients. Insulin has been shown to promote the formation of acetyl-coenzyme A (CoA), which may in turn inhibit ß-oxidation (42); it has also been suggested that the hormone activates acetyl-CoA carboxylase, leading to malonyl-CoA synthesis (43). The latter depresses the activity of carnitine-palmitoyl transferase-1 (44). In accord with the earlier hypothesis of reverse substrate competition, insulin enhances glucose uptake in the liver (45, 46), reinforcing the mass action effect of hyperglycemia on the glucose oxidative pathway. In turn, glucose appears to be necessary for insulin-mediated malonyl-CoA synthesis. Thus, in our IGT patients, hyperinsulinemia and hyperglycemia represented a synergistic combination to inhibit FFA oxidation. The recent evidence that intrahepatocellular lipids are higher in insulin-resistant type 2 diabetic subjects and are further increased after long-term insulin infusion in proportion to baseline insulin sensitivity supports the concept that impaired oxidation diverts FFA into triglyceride synthesis (47). It is interesting that ß-oxidation and FFA extraction appear to be either normal or increased in splanchnic organs of type 1 diabetic patients (21) and in the liver of depancreatized dogs (22), suggesting that the defect might be a prerogative of insulin-resistant, hyperinsulinemic (not just hyperglycemic) states.

The hypothesis of reverse substrate competition may sound in contrast with previous findings by us and by others, which show that insulin-mediated hepatic glucose uptake is impaired in patients with type 2 diabetes (48, 49). Although in normal glucose-tolerant, insulin-resistant subjects we could not detect any reduction in liver glucose disposal (48), a defect was described by others in IGT subjects with normal insulin sensitivity and with impaired first-phase insulin secretion (50). These previous observations are not easily extrapolated to the present study because of the differences in disease stage (IGT vs. overt diabetes vs. normal glucose tolerance), in plasma insulin levels (fasting vs. postprandial vs. mild hyperinsulinemia) and glucose levels (euglycemia vs. hyperglycemia), in the route of glucose administration (oral vs. peripheral vs. none), and in the ethnicity of the study populations (American vs. Northern European vs. Southern European). More importantly, the acute nature of these experiments, in which the levels of insulin and/or glucose were set to be equal between study groups, differs from the chronic condition of our subjects, in whom serum substrate/hormone levels were left in their spontaneous equilibrium. Although fasting hepatic glucose uptake data are required to draw definitive conclusions concerning reverse substrate competition in the liver of IGT patients, it is reasonable to anticipate that the putative regional glucose uptake defect might be overridden by the concurrent hyperinsulinemia and hyperglycemia.

Although several components of the metabolic syndrome can modify the intracellular fate of FFA, our data do not rule out the primacy of a defect in FFA metabolism, inducing a cascade of compensatory events, clustering as metabolic syndrome. As long as insulin hypersecretion is able to restrain lipolysis and confine FFA within the adipose depots, IGT is accompanied by normal serum FFA concentrations.

Our findings appear to extend to the liver the generalized impairment of fasting FFA oxidation observed in the whole organism and in skeletal muscle in association with insulin resistance (25, 36, 37, 38, 51, 52, 53). Interestingly, the capacity to augment lipid oxidation during fasting conditions, which was impaired in obesity and enhanced by exercise, was a strong predictor of the severity of insulin resistance (in the case of obesity) (51) or of the improvement in insulin sensitivity (with exercise) (52). Metabolic inflexibility has been described in obese individuals, who fail to suppress lipid utilization postprandially (38). It has been suggested that lower rates of FFA oxidation during fasting and postprandial inflexibility may be mechanisms leading to excess lipid accumulation within skeletal muscle and that, in turn, the adverse metabolic consequences of this defect may depend upon the capacity for efficient lipid utilization during fasting. Because exercise increases the disposal of a glucose load by the liver (54), it is tempting to speculate that, similar to skeletal muscle, the reduced fasting FFA uptake observed in this study, which reflects FFA oxidation, may be predictive of the hepatic insulin resistance that was described in IGT subjects during glucose ingestion (50).

Methodological considerations

Based on the knowledge that, in the fasting state, FFAs entering the liver are mostly oxidized while small amounts are stored into triglycerides for later release (15, 17) and on the fact that FTHA, after its transport into mitochondria and formation of two acetyl-CoA moieties, cannot be further metabolized being trapped in proportion to its uptake, we opted to use graphical analysis to quantify liver FFA uptake, a choice that was supported by a strong concordance between fitted and measured data, as exemplified in Fig. 1Go. As long as steady-state conditions are maintained, the iv injection of radiolabeled tracers satisfies most of the requirements of graphical analysis, as underlined by Patlak et al. (28). Our patients were under steady fasting conditions during the relatively short duration of the study. The occurrence of tracer trapping was verified in our study subjects by the goodness of the linear fit to the measured data, a test that is considered as proof of the assumption (28, 29, 30). Untrapped plasma metabolites were accounted for in the input function. Given the short duration of the present experiments, tracer trapping would include FFA entering the oxidative pathway and, to a lesser extent, their storage in triglycerides. Graphical analysis has the additional advantage of taking into account the integral of the input function over earlier time frames and its ratio to single time-point values in later intervals, thus minimizing the influence of tracer dispersion in blood passing through the extrahepatic splanchnic bed to the portal vein, which mostly affects the peak of the input curve (55).

Because it is not known whether a lumped constant term, accounting for differences in carrier affinities between FFA and FTHA, is required, no value was used; the lack of such a constant may slightly influence absolute LFU values, but it should not affect group comparisons. Notably, circulating FFA comprise a spectrum of different molecules; FTHA is a 17-carbon FFA analog, of which the uptake was shown to be in good agreement with that of 11C-labeled palmitate in the myocardium (56), a demonstration that supports the use of this tracer as representative of long-chain fatty acids. The use of more sophisticated modeling approaches, which provide information on the intracellular fate of our tracer that could be extrapolated to an FFA pool, awaits further characterization. With the current knowledge, the influence of single intracellular enzyme affinities in the two study groups could not be accounted for, and the study was conducted under fasting conditions to minimize the effect of enzymes implicated in triglyceride synthesis.

Although our assessment of fractional FFA extraction was based on a direct measurement, we used an arterial input function to model our data, whereas the liver is perfused by both portal venous and arterial blood. Thus, a difference in the amount of visceral fat between study groups may account for a diverse proportion of tracer being delivered to the liver. Although a lower uptake or higher release of tracer by visceral fat would reinforce the difference observed here between study groups, the reverse possibility cannot be presently excluded. By the same line of reasoning, the calculation of liver uptake represented a minimal estimate because peripheral FFA concentrations were used, and a higher FFA flux to the liver through the portal vein could not be excluded. We cannot dismiss the possibility that, in IGT, the LFEF impairment might have been partly overcome or even determined by a higher FFA delivery from visceral organs. In this case, down-regulation of hepatic FFA extraction would protect the organ against an exaggerated FFA flux in the face of a reduced oxidative capacity. However, abdominal visceral fat correlates with systemic lipolysis (57), and the peripheral delivery of FFA through the hepatic vein is strongly related to visceral adipose tissue FFA release (58). We could find neither a correlation between fat mass and LFU nor between-group differences in the contribution of visceral fat to peripheral FFA levels. Thus, although the simultaneous evaluation of visceral fat FFA metabolism is necessary to support this interpretation, our data indicate that higher plasma insulin levels in IGT subjects were likely sufficient to restrain lipolysis in a similar manner as in controls.

In conclusion, our data suggest that, in patients with IGT, the ability of the liver to extract FFA from the circulation is impaired; however, information on visceral fat FFA metabolism will be necessary for the full understanding of this finding. Such a defect in hepatic FFA metabolism may be causally related to the increased export of FFA as triglyceride-rich lipoproteins. The reciprocal relationship between hepatic FFA extraction and glucose/lactate levels is compatible with intrahepatic substrate competition.


    Footnotes
 
Abbreviations: CoA, Coenzyme A; FFA, free fatty acid; [18F]FTHA, 14(R,S)- [18F]fluoro-6-thia-heptadecanoic acid; IGT, impaired glucose tolerance; LFEF, liver FFA extraction fraction; LFU, liver FFA uptake index; LKi, influx rate constant in liver.

Received July 3, 2003.

Accepted March 28, 2004.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Boden G 1999 Free fatty acids, insulin resistance, and type 2 diabetes mellitus. Proc Assoc Am Physicians 111:241–248[CrossRef][Medline]
  2. Bergman RN, Ader M 2000 Free fatty acids and pathogenesis of type 2 diabetes mellitus. Trends Endocrinol Metab 11:351–356[CrossRef][Medline]
  3. McGarry JD 2002 Dysregulation of fatty acid metabolism in the etiology of type 2 diabetes. Diabetes 51:7–18[Free Full Text]
  4. Randle PJ, Garland PB, Hales CN, Newsholme EA 1963 The glucose fatty acid cycle. Its role in insulin sensitivity and the metabolic disturbances of diabetes mellitus. Lancet 1:7285–7289
  5. Ferrannini E, Barrett EJ, Bevilacqua S, DeFronzo RA 1983 Effect of fatty acids on glucose production and utilization in man. J Clin Invest 72:1737–1747
  6. Nuutila P, Koivisto VA, Knuuti J, Ruotsalainen U, Teras M, Haaparanta M, Bergman J, Solin O, Voipio-Pulkki LM, Wegelius U, Yki-Jarvinen H 1992 Glucose-free fatty acid cycle operates in human heart and skeletal muscle in vivo. J Clin Invest 89:1767–1774
  7. Nuutila P, Knuuti MJ, Raitakari M, Ruotsalainen U, Teras M, Voipio-Pulkki LM, Haaparanta M, Solin O, Wegelius U, Yki-Jarvinen H 1994 Effect of antilipolysis on heart and skeletal muscle glucose uptake in overnight fasted humans. Am J Physiol 267:E941–E946
  8. Knuuti MJ, Maki M, Yki-Jarvinen H, Voipio-Pulkki LM, Harkonen R, Haaparanta M, Nuutila P 1995 The effect of insulin and FFA on myocardial glucose uptake. J Mol Cell Cardiol 27:1359–1367[CrossRef][Medline]
  9. Shah P, Vella A, Basu A, Basu R, Adkins A, Schwenk WF, Johnson CM, Nair KS, Jensen MD, Rizza R 2002 Effects of free fatty acids and glycerol on splanchnic glucose metabolism and insulin extraction in nondiabetic humans. Diabetes 51:301–310[Abstract/Free Full Text]
  10. Seppala-Lindroos A, Vehkavaara S, Hakkinen AM, Westerbacka J, Sovijarvi A, Halavaara J, Yki-Jarvinen H 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]
  11. Lewis GF 1997 Fatty acid regulation of very low density lipoprotein production. Curr Opin Lipidol 8:146–153[Medline]
  12. Zhou YP, Grill VE 1995 Long term exposure to fatty acids and ketones inhibits B-cell function in human pancreatic islets of Langerhans. J Clin Endocrinol Metab 80:1584–1590[Abstract/Free Full Text]
  13. Wiesenthal SR, Sandhu H, McCall RH, Tchipashvili V, Yoshii H, Polonsky K, Shi ZQ, Lewis GF, Mari A, Giacca A 1999 Free fatty acids impair hepatic insulin extraction in vivo. Diabetes [Erratum (1999) 48:1348] 48:766–774
  14. Hagenfeldt L, Wahren J, Pernow B, Raf L 1972 Uptake of individual free fatty acids by skeletal muscle and liver in man. J Clin Invest 51:2324–2330
  15. Basso LV, Havel R 1970 Hepatic metabolism of free fatty acids in normal and diabetic dogs. J Clin Invest 49:537–547
  16. Fritz IB 1961 Factors influencing the rates of long-chain fatty acid oxidation and synthesis in mammalian systems. Physiol Rev 41:52–129[Free Full Text]
  17. Sidossis LS, Mittendorfer B, Walser E, Chinkes D, Wolfe RR 1998 Hyperglycemia-induced inhibition of splanchnic fatty acid oxidation increases hepatic triacylglycerol secretion. Am J Physiol Endocrinol Metab 38:E798–E805
  18. Waldhausl WK, Gasic S, Bratusch-Marrain P, Nowotny P 1983 The 75-g oral glucose tolerance test: effect on splanchnic metabolism of substrates and pancreatic hormone release in healthy man. Diabetologia 25:489–495[Medline]
  19. Waldhausl WK, Gasic S, Bratusch-Marrain P, Komjati M, Korn A 1987 Effect of stress hormones on splanchnic substrate and insulin disposal after glucose ingestion in healthy humans. Diabetes 36:127–135[Abstract]
  20. Moore MC, Hsieh PS, Neal DW, Cherrington AD 2000 Nonhepatic response to portal glucose delivery in conscious dogs. Am J Physiol Endocrinol Metab 279:E1271–E1277
  21. Wahren J, Sato Y, Ostman J, Hagenfeldt L, Felig P 1984 Turnover and splanchnic metabolism of free fatty acids and ketones in insulin-dependent diabetics at rest and in response to exercise. J Clin Invest 73:1367–1376
  22. Namdaran K, Bracy DP, Lacy DB, Johnson JL, Bupp JL, Wasserman DH 1997 Gut and liver fat metabolism in depancreatized dogs: effects of exercise and acute insulin infusion. J Appl Physiol 83:1339–1347[Abstract/Free Full Text]
  23. Remesy C, Demigne C 1983 Changes in availability of glucogenic and ketogenic substrates and liver metabolism in fed or starved rats. Ann Nutr Metab 27:57–70[Medline]
  24. World Health Organization 1985 Diabetes mellitus: report of a World Health Organization Study Group World Health Organ Tech Rep Ser 727. Geneva: WHO
  25. Turpeinen AK, Takala TO, Nuutila P, Axelin T, Luotolahti M, Haaparanta M, Bergman J, Hamalainen H, Iida H, Maki M, Uusitupa MI, Knuuti J 1999 Impaired free fatty acid uptake in skeletal muscle but not in myocardium in patients with impaired glucose tolerance: studies with PET and 14(R,S)-[18F]fluoro-6-thia-heptadecanoic acid. Diabetes 48:1245–1250[Abstract]
  26. Maki MT, Haaparanta M, Nuutila P, Oikonen V, Luotolahti M, Eskola O, Knuuti JM 1998 Free fatty acid uptake in the myocardium and skeletal muscle using fluorine-18-fluoro-6-thia-heptadecanoic acid. J Nucl Med 39:1320–1327[Abstract/Free Full Text]
  27. Van den Hoff J, Burchert W, Muller-Schauenburg W, Meyer GJ, Hundeshagen H 1993 Accurate local blood flow measurements with dynamic PET: fast determination of input function delay and dispersion by multilinear minimization. J Nucl Med 34:1770–1777[Abstract/Free Full Text]
  28. Patlak CS, Blasberg RG, Fenstermacher JD 1983 Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 3:1–7[Medline]
  29. Patlak CS, Blasberg RG 1985 Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab 5:584–590[Medline]
  30. Lammertsma AA, Brooks DJ, Frackowiak RS, Beaney RP, Herold S, Heather JD, Palmer AJ, Jones T 1987 Measurement of glucose utilisation with [18F]2-fluoro-2-deoxy-D-glucose: a comparison of different analytical methods. J Cereb Blood Flow Metab 7:161–172[Medline]
  31. Richardson PD, Withrington PG 1981 Liver blood flow. I. Intrinsic and nervous control of liver blood flow. Gastroenterology 81:159–173[Medline]
  32. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC 1985 Homeostasis model assessment: insulin resistance and ß-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419[CrossRef][Medline]
  33. DeFronzo RA, Ferrannini E 1991 Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 14:173–194[Abstract]
  34. Reaven GM 1995 Pathophysiology of insulin resistance in human disease. Physiol Rev 75:473–486[Abstract/Free Full Text]
  35. Sanyal AJ, Campbell-Sargent C, Mirshahi F, Rizzo WB, Contos MJ, Sterling RK, Luketic VA, Shiffman ML, Clore JN 2001 Nonalcoholic steatohepatitis: association of insulin resistance and mitochondrial abnormalities. Gastroenterology 120:1183–1192[CrossRef][Medline]
  36. Blaak EE, Wagenmakers AJ, Glatz JF, Wolffenbuttel BH, Kemerink GJ, Langenberg CJ, Heidendal GA, Saris WH 2000 Plasma FFA utilization and fatty acid-binding protein content are diminished in type 2 diabetic muscle. Am J Physiol Endocrinol Metab 279:E146–E154
  37. Simoneau JA, Veerkamp JH, Turcotte LP, Kelley DE 1999 Markers of capacity to utilize fatty acids in human skeletal muscle: relation to insulin resistance and obesity and effects of weight loss. FASEB J 13:2051–2060[Abstract/Free Full Text]
  38. Kelley DE, Goodpaster B, Wing RR, Simoneau JA 1999 Skeletal muscle fatty acid metabolism in association with insulin resistance, obesity, and weight loss. Am J Physiol 277:E1130–E1141
  39. McGarry JD 2001 Travels with carnitine palmitoyltransferase I: from liver to germ cells with stops in between. Biochem Soc Trans 29:241–245[Medline]
  40. Sidossis LS, Stuart CA, Shulman GI, Lopaschuk GD, Wolfe RR 1996 Glucose plus insulin regulate fat oxidation by controlling the rate of fatty acid entry into the mitochondria. J Clin Invest 98:2244–2250[Medline]
  41. Sidossis LS, Wolfe RR 1996 Glucose and insulin-induced inhibition of fatty acid oxidation: the glucose-fatty acid cycle reversed. Am J Physiol Endocrinol Metab 270:E733–E738
  42. Schultz H 1994 Regulation of fatty acid oxidation in heart. J Nutr 124:165–171
  43. Mabrouk GM, Helmy IM, Thampy KG, Wakil SJ 1990 Acute hormonal control of acetyl-CoA carboxylase. The roles of insulin, glucagon, and epinephrine. J Biol Chem 265:6330–6338[Abstract/Free Full Text]
  44. McGarry JD, Mannaerts GP, Foster DW 1977 A possible role for malonyl-CoA in the regulation of hepatic fatty acid oxidation and ketogenesis. J Clin Invest 60:265–270
  45. Edgerton DS, Cardin S, Emshwiller M, Neal D, Chandramouli V, Schumann WC, Landau BR, Rossetti L, Cherrington AD 2001 Small increases in insulin inhibit hepatic glucose production solely caused by an effect on glycogen metabolism. Diabetes 50:1872–1882[Abstract/Free Full Text]
  46. Iozzo P, Geisler F, Oikonen V, Mäki M, Takala T, Solin O, Ferrannini E, Knuuti J, Nuutila P 2003 Insulin stimulates liver glucose uptake in man: a 18F-fluoro-2-deoxy-glucose positron-emission tomography study. J Nucl Med 44:682–689[Abstract/Free Full Text]
  47. Anderwald C, Bernroider E, Krssak M, Stingl H, Brehm A, Bischof MG, Nowotny P, Roden M, Waldhausl W 2003 Effects of insulin treatment in type 2 diabetic patients on intracellular lipid content in liver and skeletal muscle. Diabetes 51:3025–3032
  48. Iozzo P, Hallsten K, Oikonen V, Virtanen KA, Kemppainen J, Solin O, Ferrannini E, Knuuti J, Nuutila P 2003 Insulin-mediated hepatic glucose uptake is impaired in type 2 diabetes: evidence for a relationship with glycemic control. J Clin Endocrinol Metab 88:2055–2060[Abstract/Free Full Text]
  49. Basu A, Basu R, Shah P, Vella A, Johnson CM, Nair KS, Jensen MD, Schwenk WF, Rizza RA 2000 Effects of type 2 diabetes on the ability of insulin and glucose to regulate splanchnic and muscle glucose metabolism: evidence for a defect in hepatic glucokinase activity. Diabetes 49:272–283[Abstract]
  50. Thorburn AW, Proietto J 1999 Peripheral tissue glucose uptake is not reduced after an oral glucose load in Southern Italian subjects at risk of developing non-insulin-dependent diabetes mellitus. Metabolism 48:80–85[Medline]
  51. Kelley DE, Mandarino LJ 2000 Fuel selection in human skeletal muscle in insulin resistance. Diabetes 49:677–683[Abstract]
  52. Goodpaster BH, Katsiaras A, Kelley DE 2003 Enhanced fat oxidation through physical activity is associated with improvements in insulin sensitivity in obesity. Diabetes 52:2191–2197[Abstract/Free Full Text]
  53. Felber JP, Ferrannini E, Golay A, Meyer HU, Theibaud D, Curchod B, Maeder E, Jequier E, DeFronzo RA 1987 Role of lipid oxidation in pathogenesis of insulin resistance of obesity and type II diabetes. Diabetes 36:1341–1350[Abstract]
  54. Pencek RR, James F, Lacy DB, Jabbour K, Williams PE, Fueger PT, Wasserman DH 2003 Interaction of insulin and prior exercise in control of hepatic metabolism of a glucose load. Diabetes 52:1897–1903[Abstract/Free Full Text]
  55. Munk OL, Bass L, Roelsgaard K, Bender D, Hansen SB, Keiding S 2001 Liver kinetics of glucose analogs measured in pigs by PET: importance of dual-input blood sampling. J Nucl Med 42:795–801[Abstract/Free Full Text]
  56. Knuuti J, Takala TO, Nagren K, Sipila H, Turpeinen AK, Uusitupa MI, Nuutila P 2001 Myocardial fatty acid oxidation in patients with impaired glucose tolerance. Diabetologia 44:184–187[CrossRef][Medline]
  57. Basu A, Basu R, Shah P, Vella A, Rizza RA, Jensen MD 2001 Systemic and regional free fatty acid metabolism in type 2 diabetes. Am J Physiol Endocrinol Metab 280:E1000–E1006
  58. Jensen MD, Cardin S, Edgerton D, Cherrington A 2003 Splanchnic free fatty acid kinetics. Am J Physiol Endocrinol Metab 284:E1140–E1148



This article has been cited by other articles:


Home page
Diabetes CareHome page
G. H. Tomkin
Targets for Intervention in Dyslipidemia in Diabetes
Diabetes Care, February 1, 2008; 31(Supplement_2): S241 - S248.
[Abstract] [Full Text] [PDF]


Home page
JNMHome page
L. Guiducci, T. Gronroos, M. J. Jarvisalo, J. Kiss, A. Viljanen, A. G. Naum, T. Viljanen, T. Savunen, J. Knuuti, E. Ferrannini, et al.
Biodistribution of the Fatty Acid Analogue 18F-FTHA: Plasma and Tissue Partitioning Between Lipid Pools During Fasting and Hyperinsulinemia
J. Nucl. Med., March 1, 2007; 48(3): 455 - 462.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
T. S. Burgert, S. E. Taksali, J. Dziura, T. R. Goodman, C. W. Yeckel, X. Papademetris, R. T. Constable, R. Weiss, W. V. Tamborlane, M. Savoye, et al.
Alanine Aminotransferase Levels and Fatty Liver in Childhood Obesity: Associations with Insulin Resistance, Adiponectin, and Visceral Fat
J. Clin. Endocrinol. Metab., November 1, 2006; 91(11): 4287 - 4294.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
B. R. Barrows, M. T. Timlin, and E. J. Parks
Spillover of Dietary Fatty Acids and Use of Serum Nonesterified Fatty Acids for the Synthesis of VLDL-Triacylglycerol Under Two Different Feeding Regimens
Diabetes, September 1, 2005; 54(9): 2668 - 2673.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
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 arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Iozzo, P.
Right arrow Articles by Knuuti, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Iozzo, P.
Right arrow Articles by Knuuti, J.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals