Original Contributions |
From the Department of Medicine, University of Kuopio, Kuopio, Finland.
Correspondence to Markku Laakso, MD, Professor and Chair, Department of Medicine, University of Kuopio, 70210 Kuopio, Finland. E-mail markku.laakso{at}uku.fi
| Abstract |
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Key Words: familial combined hyperlipidemia insulin resistance insulin glucose oxidation nonoxidative glucose disposal
| Introduction |
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Because most of the characteristic metabolic disorders in FCHL (high triglyceride levels, combined hyperlipidemia, high apoB levels, hepatic overproduction of lipoproteins, and small low density lipoprotein [LDL] size) also have been associated with insulin resistance, studies on insulin action in these patients are of great interest.6 In previous studies hyperinsulinemia7 8 and impaired insulin action on glucose metabolism and free fatty acid suppression have been associated with combined hyperlipidemia9 and FCHL,10 11 indicating that insulin resistance is an essential part of this disorder. Genetic defects that could explain a large part of either insulin resistance or FCHL itself have not yet been found. Therefore, studies aiming to elucidate mechanisms simultaneously leading to dyslipidemia and insulin resistance in FCHL are of great importance.
Two recent studies have demonstrated the presence of insulin resistance in patients with FCHL compared with their first-degree relatives or controls.10 11 However, these studies included a limited number of subjects and more importantly did not apply the indirect calorimetry technique. Therefore, the intracellular defect in insulin action was not evaluated in previous studies.10 11 To clarify this issue, we performed the hyperinsulinemic euglycemic clamp with indirect calorimetry in 58 FCHL family members and 72 healthy controls.
| Methods |
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Lipid values of the control probands without CHD and their first-degree
relatives (siblings and children) were used to define FCHL after
exclusion of the 5 known families with FCHL. Subjects having total
cholesterol
9.0 mmol/L or total
triglycerides
5.0 mmol/L were excluded as well as
subjects under 22 years of age in the follow-up study (to match the age
range in the baseline and follow-up studies). The control population
described above consisted of 250 persons (161 males and 89 females).
The cut-off points for abnormal lipids were defined as 80th percentile
for total cholesterol and 90th percentile for total
triglycerides. The 80th percentile for total
cholesterol was used because of high
cholesterol level among subjects living in eastern Finland.
After adjustment for age with linear regression analysis the
values for the median age (55 years) of this population were used as
cut-off points for abnormal lipids. These values were 7.7 mmol/L
for total cholesterol in both men and women and 2.2
mmol/L for total triglycerides in women and 2.4 mmol/L
in men.
To meet the criteria for FCHL, each family had to have at least 3 affected members with different types of dyslipidemia and at least 1 affected member in 2 different generations. Altogether, 25 families with FCHL with 162 family members met the criteria and were included in this study.
A random sample of probands, their siblings, and children of the FCHL
families who participated in the follow-up visit from 1993 to 1995 were
invited for the hyperinsulinemic euglycemic
clamp. Altogether, 58 subjects participated: 30 (17 men, 13 women) who
did not have dyslipidemia and 28 (18 men, 10 women) with
FCHL defined by total cholesterol
7.7 mmol/L and/or
total triglycerides
2.2 mmol/L in women and
2.4 mmol/L in men (3 probands, 20 siblings of probands, 5
children of probands). Participants were somewhat younger (50 versus 61
years) and leaner (body mass index [BMI] 25 versus 27
kg/m2) than
nonparticipants, but total cholesterol (6.92 versus
7.08 mmol/L) or triglycerides (1.94 versus 2.16
mmol/L) did not differ between these groups.
Control subjects in this study were healthy unrelated men from our previous population study who had total cholesterol <7.7 mmol/L and total triglycerides <2.4 mmol/L.13 They had a normal glucose tolerance according to the World Health Organization criteria14 and no chronic disease, hypertension, symptoms or signs of coronary heart disease, nor continuous drug treatment. All probands, family members, and controls had normal liver, kidney, and thyroid function tests and none had a history of excessive alcohol intake.
Informed consent was obtained from all subjects after the purpose and potential risks of the study were explained to them. The protocol was approved by the Ethics Committee of the University of Kuopio and was in accordance with the Helsinki Declaration.
Metabolic Studies
The degree of insulin resistance was evaluated with the
euglycemic clamp technique15 after a
2-hour fast as previously described.13 After
baseline blood drawing, a priming dose of insulin (Actrapid 100 IU/mL,
Novo Nordisk) was administered during the initial 10 minutes to raise
insulin concentration quickly to the desired level, where it was
maintained by a continuous insulin infusion of 480
pmol/m2/min (80 mU/m2/min).
Under these study conditions, hepatic glucose production is
suppressed completely in nondiabetic
subjects.16 17 Blood glucose was clamped at
5.0 mmol/L for the next 180 minutes by the infusion of 20%
glucose at varying rates according to blood glucose measurements
performed at 5-minute intervals. The mean value for the last hour was
used to calculate the rates of insulin-stimulated whole body glucose
uptake (WBGU).
Indirect calorimetry was performed with a computerized flow-through canopy gas analyzer system (Deltatrac, Datex) as previously described.18 19 Gas exchange was measured for 30 minutes after a 12-hour fast and during the last 30 minutes of the euglycemic clamp. The first 10 minutes of each measurement were discarded, and the mean value of the last 20 minutes was used in calculations. Protein, glucose, and lipid oxidation rates were calculated according to Ferrannini.20 The rate of nonoxidative glucose disposal during the euglycemic clamp was estimated by subtracting the carbohydrate oxidation rate (as determined by indirect calorimetry in the last 20 minutes of the euglycemic clamp) from the glucose infusion rate.
Analytical Methods
Plasma glucose levels in the fasting state and after an oral
glucose load, as well as blood glucose and plasma lactate levels during
the euglycemic clamp, were measured by the glucose oxidase
method (2300 Stat Plus, Yellow Springs Instrument Co Inc). For the
determination of plasma insulin, blood was collected in EDTA-containing
tubes, and after centrifugation the plasma was stored
at -20°C until the analysis was performed. Plasma insulin
concentration was determined by a commercial double-antibody
solid-phase radioimmunoassay (Phadeseph Insulin RIA 100, Pharmacia
Diagnostics AB). Lipoprotein fractionation was performed by
ultracentrifugation and selective
precipitation21 as previously
described.22 Cholesterol and
triglyceride levels from whole serum and lipoprotein
fractions were assayed by automated enzymatic methods
(Boehringer-Mannheim). ApoB and apolipoprotein A1 were
determined by a commercial immunoturbidimetric method (Kone
Instruments) and serum FFAs from fresh frozen samples by an enzymatic
method (Wako Chemicals GmbH). Nonprotein urinary nitrogen was measured
by an automated Kjeldahl method.23
Statistical Analysis
All calculations were done with the SPSS/Win programs (SPSS
Inc). The differences between the 3 study groups were evaluated with
ANCOVA after adjustment for age, gender, and BMI. If the difference was
statistically significant (P<0.05), pairwise comparisons of
age, gender, and BMI between the study groups were done using ANCOVA.
Correlations between the variables were determined as Pearson
correlations. VLDL cholesterol, total
triglycerides, insulin, and FFA levels were transformed
logarithmically to obtain normal distribution before statistical
analyses. P values <0.05 were considered
statistically significant. All data are presented as
mean±SD.
| Results |
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Lipid and Glucose Metabolism During the
Hyperinsulinemic Euglycemic Clamp
Glucose (5.0±0.1 mmol/L in controls, 5.0±0.1 in relatives
without dyslipidemia, and 5.0±0.1 in FCHL patients),
insulin (1073±215 versus 941±169 versus 1004±190 pmol/L), and
lactate levels (1.15±0.27 versus 1.19±0.27 versus 1.13±0.23
mmol/L) did not differ significantly between the groups during the last
hour of the euglycemic clamp. During the clamp relatives
both with and without FCHL had higher levels of FFAs (0.24±0.17 versus
0.13±0.11 versus 0.06±0.06 mmol/L; P<0.001) and
higher rates of lipid oxidation (0.15±0.13 versus 0.13±0.17 versus
0.007±0.25 mg/kg/min; P=0.011 and P=0.024) than
did control subjects (Figure 2
). Both
groups of FCHL family members also had lower rates of WBGU
(49.73±12.10 versus 55.50±14.31 versus 58.50±14.65
µmol/kg/min; P=0.001 and P=0.035) than did
control subjects (Figure 3
). This
difference was due mainly to lower rates of glucose oxidation in FCHL
family members with or without dyslipidemia (15.93±3.55
versus 17.70±4.16 versus 19.65±4.60 µmol/kg/min;
P=0.003 and P=0.001) compared with those in
controls. Furthermore, FCHL family members without
dyslipidemia had lower rates of nonoxidative glucose
disposal (33.80±10.16 versus 37.80±11.65 versus 38.79±12.76 109
µmol/kg/min; P=0.024) when compared with control subjects.
No difference in the rates of nonoxidative glucose disposal was
observed between FCHL patients and controls (unadjusted,
P=0.067; adjusted for age, gender, and BMI,
P=0.217) (Figure 3
). Serum FFAs during the
euglycemic clamp in subjects with FCHL tended to be higher
when compared with those of their relatives without
dyslipidemia (P=0.078; Figure 2
), but no
significant difference was present in the rates of lipid oxidation,
WBGU, glucose oxidation, and nonoxidative glucose disposal between FCHL
family members with or without dyslipidemia.
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Correlations of FFA Levels During the
Hyperinsulinemic Clamp With Insulin-Stimulated Glucose
Uptake and Lipid Metabolism
Because the impaired suppressive effect of insulin on FFAs could
explain both dyslipidemia and insulin resistance via
increased FFA levels, correlations between FFA levels during the
euglycemic clamp and other variables were calculated
separately for controls and FCHL families (Table 2
). In control subjects, FFA levels had a
positive correlation with VLDL cholesterol
(P=0.041) and total triglycerides
(P=0.008) but no correlation with the levels of total, LDL
or HDL cholesterol, apoB levels, or the rates of lipid
oxidation during the euglycemic clamp. Similarly, in
first-degree relatives of FCHL patients without
dyslipidemia, FFA levels correlated positively with VLDL
cholesterol (P=0.042) and total
triglycerides (P=0.031) but not with total, LDL,
or HDL cholesterol levels or the rates of lipid oxidation.
However, in FCHL patients, no significant correlations were found
between these variables. In controls, FFAs did not correlate with
the rates of glucose oxidation or with the rates of nonoxidative
glucose disposal. In contrast, in FCHL families, FFAs correlated
negatively with the rates of glucose oxidation (P<0.001)
both in patients without (P=0.002) and with
dyslipidemia (P=0.010, Figure 4
). All partial correlations with FFA
levels remained statistically significant (P<0.05) when
age, gender, and BMI were controlled.
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| Discussion |
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Insulin resistance has been associated with most of the characteristic metabolic disorders in FCHL6 (high triglyceride levels, combined hyperlipidemia, high apoB levels, hepatic overproduction of lipoproteins, and small LDL size), as well as with the disorder itself.10 11 In addition to dyslipidemia, insulin resistance in these patients may also contribute to increased risk of atherosclerosis.24 25 Therefore, studies on the mechanisms that could potentially cause both insulin resistance and dyslipidemia in these patients are of great importance. Because FFA levels affect both glucose uptake in peripheral tissues26 and hepatic production of lipoproteins,27 28 changes in serum FFA levels could explain impaired glucose metabolism as well as dyslipidemia in FCHL patients.
The combination of low rates of insulin-stimulated glucose oxidation and high rates of lipid oxidation in FCHL family members differs from the pattern of insulin resistance in non-insulindependent diabetes mellitus. In this disease, a defect in insulin's action on nonoxidative glucose disposal is likely to be primary metabolic disorder,29 and insulin's action on lipid oxidation has been reported to be normal.30 Interestingly, in obese subjects, insulin-stimulated glucose oxidation is decreased and lipid oxidation increased similarly as in FCHL family members in this study.30 In our study, FCHL family members had BMIs and waist-to-hip ratios similar to healthy controls; therefore, obesity or its central distribution cannot explain the findings.
Because the rates of lipid oxidation were higher in FCHL family members compared with controls during the hyperinsulinemic euglycemic clamp, simultaneously high FFA levels in FCHL family members cannot be explained by a defect in FFA removal from the plasma. Therefore, high FFA levels likely are explained by higher rates of FFA release from fat cells during hyperinsulinemia compared with those in controls. The activity of hormone-sensitive lipase has been reported as low in patients with FCHL.31 Therefore, high FFA levels in this study are not necessarily explained by impaired antilipolytic effect of insulin, but decreased effect on triglyceride synthesis in fat cells (and compensatory FFA release from fat cells) may play a significant role. Regardless of the cause for high FFA levels, these are likely to impair the rates of glucose oxidation further according to Randle's cycle by increasing the rates of lipid oxidation.26 Therefore, the defect in glucose oxidation in FCHL family members could be secondary to high FFA levels. The possibility that the defect in insulin's action in FCHL is localized both in skeletal muscle and adipose tissue cannot be excluded, because during hyperinsulinemia, a major portion of glucose uptake is in skeletal muscle.
Opposite to findings in the study by Bredie et al,11 relatives with FCHL and without dyslipidemia had similar defects in insulin action in our study. In the study by Bredie et al,11 relatives were more normolipidemic (lipids <75th percentile) than relatives in this study, which may have led to opposite findings. At least 3 possibilities can be presented to explain the association of insulin resistance with dyslipidemia in FCHL according to our findings. First, insulin resistance may be independent of dyslipidemia in FCHL families, implying that insulin resistance and dyslipidemia have different etiologies in this disease. Secondly, in addition to insulin resistance, some other defect may be needed for dyslipidemia to develop (additive effect for example with the apoB locus32 ). Finally, insulin resistance may be an inherited characteristic of FCHL and precede dyslipidemia. In favor of this notion are our results that the relatives of FCHL patients without dyslipidemia were as insulin resistant as relatives with FCHL, but 10 years younger. Therefore, these subjects may develop dyslipidemia with aging.
In FCHL family members, FFA levels during the euglycemic clamp correlated with the rates of glucose oxidation independent of dyslipidemia, whereas in controls no correlation was found. Twenty-three percent of the variation in the rates of glucose oxidation was due to FFA levels in FCHL families even after controlling for age, gender, and BMI (r=-0.48; P<0.001). This confirms the finding that FFAs have an important role in insulin resistance in FCHL families. In normal individuals, FFA levels regulate VLDL production.28 33 Therefore, it is not surprising that FFA levels during the euglycemic clamp were correlated with the levels of VLDL cholesterol and total triglycerides in controls and in relatives of FCHL patients without dyslipidemia. The lack of significant correlation between FFA levels and dyslipidemia in FCHL patients indicates that some dyslipidemia is caused by defects independent of insulin resistance.
Rare mutations in the lipoprotein lipase gene can cause FCHL34 ; furthermore, lipid levels in FCHL patients have been associated with the apo A1-CIII-AIV gene cluster.35 However, genetic background for FCHL remains unknown in most of the patients. Because of the complex nature of this disorder, genome-wide random search is evidently the method for resolving this problem. However, wrong negative results cannot be avoided in the random mapping because of a heterogenous background of FCHL. Therefore, candidate gene approach will still remain as an useful method for studying the genetic background for the typical traits in these patients. Our study suggests that genes that regulate lipolysis and fat cell metabolism are potentially important candidate genes for FCHL, and they may play a role already in early stages of the development of dyslipidemia in these patients.
On the basis of our findings, a hypothesis can be presented that explains the simultaneous occurrence of insulin resistance and dyslipidemia. A defect in insulin's ability to suppress the FFA release from the adipose tissue leads to elevated levels of FFAs. In the peripheral tissues, particularly in skeletal muscle, high levels of FFA block glucose oxidation, causing insulin resistance. In the liver, high flux of FFAs is used for triglyceride synthesis, resulting in an elevated concentration of VLDL particles. This mechanism does not, however, explain the occurrence of high levels of LDL cholesterol in FCHL.
In summary, this study shows that the impaired effect of insulin on the suppression of FFA levels and on the stimulation of glucose oxidation is an essential part of disturbed glucose metabolism in patients with FCHL. Because these findings also were observed in first-degree relatives of FCHL patients, defects in adipose tissue and fat cell metabolism may precede lipid disorders that characterize FCHL. Screening for defects in genes that regulate fat cell metabolism are potentially important in resolving the genetic background for FCHL.
| Acknowledgments |
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| Footnotes |
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Received January 22, 1998; accepted April 6, 1998.
| References |
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