The hormone-sensitive lipase gene and body composition: the HERITAGE Family Study

Abstract

OBJECTIVE: To investigate whether the C-60G polymorphism and other markers in the hormone-sensitive lipase (LIPE) gene are associated with baseline body composition and free-fatty acid (FFA) concentrations measured at rest and during low-intensity exercise in white and black subjects participating in the HERITAGE Family Study.

SUBJECTS: Adult sedentary white (245 men and 258 women) and black (91 men and 185 women) subjects.

MEASUREMENTS: body mass index (BMI); fat mass (FAT); percentage body fat (%FAT); fat-free mass (FATFR); sum of eight skinfolds (SF8); subcutaneous (ASF), visceral (AVF) and total (ATF) abdominal fat areas assessed by CT scan; plasma FFA concentrations measured at rest (FFAR), at a power output of 50 W (FFA50) and at a relative power output of 60% of VO2max (FFA60%); and fasting insulin (INS).

STATISTICAL ANALYSIS: Association between the C-60G polymorphism of the LIPE gene and each phenotype was tested separately in men and women using ANCOVA with the effects of age and race as covariates and with further adjustment for FAT for ASF, AVF, ATF, FFAR, FFA50 and FFA60%. Secondly, owing to significant gene-by-race interaction, associations were investigated separately in each of the two race groups. Linkage was tested with the C-60G polymorphism, a dinucleotide repeat polymorphism in the intron 7 of the LIPE gene and two microsatellites markers (D19S178 and D19S903) flanking the LIPE gene.

RESULTS: There were no race differences in the allele frequencies of the C-60G polymorphism of the LIPE gene. No association or gene-by-race interaction was observed in men. However, in women, strong gene-by-race interactions were observed for BMI (P=0.0005), FAT (P=0.0007), %FAT (P=0.0003), SF8 (P=0.0001), ASF (P=0.03) and ATF (P=0.01). When the analysis was performed separately in each race, white women carriers of the -60G allele exhibited lower %FAT (P=0.005) and SF8 (P=0.01) than non-carriers, while in black women, the -60G allele was associated with higher BMI (P=0.004), FAT (P=0.009), %FAT (P=0.01) and SF8 (P=0.0009). These associations were no longer significant after adjusting for INS. Evidence of linkage was observed in whites with ATF, FFAR, FFA50 and FFA60%.

CONCLUSION: These results suggest that the C-60G polymorphism in the LIPE gene plays a role in determining body composition and that its effect is sex-, race- and insulin-dependent.

Introduction

Triacylglycerol is the major fuel stored in adipose tissue and is utilized for energy during exercise and in the fasting state. The hydrolysis of triacylglycerol to 2-monoacylglycerol and two free-fatty acids (FFA) is controlled by hormone-sensitive lipase (HSL). The remaining 2-monoacylglycerol is hydrolyzed into glycerol and FFA by a non-specific mono-acylglycerol lipase. FFAs circulate in the blood bound to albumin and are taken up by different tissues such as liver, skeletal muscle, heart and renal cortex. Glycerol is mainly transported in the blood to be metabolized in the liver. In adipose tissue, HSL activity is controlled by the neural and endocrine systems; the amount of lipid mobilization depends on the balance between the stimulatory or inhibitory pathways.1,2,3 During exercise, lipid mobilization is mainly stimulated by increased catecholamine production leading to enhanced β-adrenoceptor-mediated stimulation of lipolysis.4 Moreover, FFA is a major source of energy for skeletal muscle during low-intensity and prolonged exercise.5 Impaired function of HSL was proposed to be an early metabolic disturbance leading to the development of obesity.6 In subcutaneous adipocytes, HSL expression (HSL mRNA, total protein or HSL active enzyme) is a major determinant of the maximal lipolytic capacity7 and a reduced expression and function is present in obesity.8

The gene coding for the HSL, the LIPE gene, maps to the 19q13.1–q13.2 region.9,10 Several polymorphisms have been found in the LIPE gene with evidence of association with some metabolic dysfunctions. The Arg309Cys polymorphism was associated with fasting serum total cholesterol in Japanese subjects with type 2 diabetes, but not with type 2 diabetes status, obesity and serum triglyceride levels.11 An association was also found between a dinucleotide repeat in intron 7 of the LIPE gene12 and type 2 diabetes in subjects with abdominal obesity.13 Results from two studies revealed no evidence of linkage between the same dinucleotide repeat and familial combined hyperlipidemia in Finnish families14 or atherogenic lipoprotein phenotype in dizygotic female twins.15 Magre et al reported that the HSLi6(CA)n repeat polymorphism was associated with type 2 diabetes and obesity.16 Moreover, sib-pair analysis in French families with morbid obesity showed that LIPE locus is a good candidate for explaining this complex trait.17 A C-to-G single nucleotide change has been identified18 at position −60 of the LIPE gene promoter (C−60G), but no association between this polymorphism and obesity-related phenotypes has been reported yet.

In the present study, we investigated the associations between the C−60G polymorphism of the LIPE gene and body fatness, as well as plasma FFA concentrations measured at rest and during low-intensity exercise. Genetic linkage was also investigated with the C−60G polymorphism, as well as with the dinucleotide repeat polymorphism in intron 7 of the LIPE (CA/GT), and the microsatellite markers D19S178 (0.3 cM, centromeric) and D19S903 (0.8 cM, telomeric) flanking the LIPE gene.

Methods

Subjects

The HERITAGE Family Study aims, design and methods have been described elsewhere.19 All subjects had to be sedentary and in good health and meet a set of inclusion criteria.19 The population of the present study includes a total of 503 white (245 men and 258 women) and 276 black (91 men and 185 women) adult subjects. The Institutional Review Board at each institution of the HERITAGE Family Study research consortium approved the study protocol. Written informed consent was obtained from each participant.

Phenotype measurements

Anthropometric and body density measurements

These measurements have been described in detail previously.20 Body mass index (BMI) was calculated as weight (kg)/height2 (m2). The sum of eight skinfolds (SF8) was used to assess the level of subcutaneous fat. Hydrostatic weighing was used to assess body density. Percentage body fat (%FAT) was estimated from body density as described elsewhere;20 fat mass (FAT) and fat-free mass (FATFR) were derived.

Abdominal visceral, subcutaneous and total fat areas

Abdominal fat was assessed by computed tomography (CT) as previously described.21 Scans were obtained between the fourth and fifth lumbar (L4–L5) vertebrae, subjects being in the supine position with arms stretched above the head. Total fat area was calculated using an attenuation range of −190 to −30 Hounsfield units. Abdominal visceral fat (AVF) area was defined by drawing a line within the inner portion of the muscle walls surrounding the abdominal cavity. Abdominal subcutaneous fat area (ASF) was obtained by calculating the difference between total abdominal fat (ATF) and AVF areas.

Exercise tests

Subjects performed an exercise test on a stationary cycle ergometer (Ergo-Metrics 800S, SensorMedics, Yorba Linda, CA, USA). Three exercise tests were performed: the maximal, the submaximal and the submaximal/maximal tests.22 First, subjects completed a maximal exercise test starting at a power output of 50 W for 3 min with increases of 25 W every 2 min until volitional exhaustion. Secondly, subjects performed a submaximal exercise test during 8–12 min at an absolute power output of 50 W followed by a relative power output equivalent to 60% of their initial VO2max during 8–12 min. Finally, in a submaximal/maximal test, subjects started to exercise with the same protocol as in the submaximal test followed by 3 min of exercise at a power output equivalent to 80% of the initial VO2max. The resistance was then increased to the highest power output attained in the first test and by increasing the power output by 25 W every 2 min thereafter until exhaustion. During the submaximal/maximal test, a venous catheter was inserted in the left arm to obtain blood samples at rest, at 50 W and at 60% of the initial VO2max. Subjects were asked to refrain from eating for at least 2 h before the test.19 Blood was collected in EDTA tubes, centrifuged at 1000 g for 10 min at 4°C and plasma was kept frozen at −80°C. Plasma total protein was also measured to correct for the changes in hemoconcentration during the test.

Plasma free-fatty acids and total protein

Plasma FFA at rest (FFAR), 50 W (FFA50) and at 60% of VO2max (FFA60%) were measured using an enzymatic colorimetric method kit (Wako Chemicals, TX, USA). This procedure was automated on a Technicon RA-XT system. The colorimetric method of Biuret was used to determine plasma total protein.

Fasting plasma insulin

Blood samples for determining plasma insulin concentrations were collected after an overnight fast. Fasting plasma insulin (INS) was measured by radioimmunoassay.23

Genotype determination

PCR amplification of the C−60G polymorphism

DNA was extracted from lymphoblastoid cell lines after digestion by proteinase K and purification with phenol-chloroform. PCR amplification was carried out in a volume of 20 µl containing 150 ng DNA, 200 µM each of dATP, dCTP, dGTP and dTTP, 0.9 mM MgCl2, 1X buffer (50 mM NaCl, 10 mM Tris-HCl, 10 mM MgCl2, 1 mM DTT, pH=7.5 at 25°C), 2X of Q solution, 300 nM of each primer and 1 U of Taq polymerase (Perkin Elmer Cetus). The forward primer was 5-GAGGGAGGAGGGGCTATGGGT-3 and the reverse primer was 5-TCCCTGGGCTGGGACTACTGG-3. These primers generate a product of 271 bp which was cut into fragments of 182+89 bp in the presence of the RsaI cutting site (G−60 allele).18 The amplification protocol was: (1) one cycle of denaturation at 94°C for 3 min, annealing at 65°C and extension at 72°C; (2) 40 cycles of denaturation at 94°C for 30 s, annealing at 65°C for 30 s and extension at 72°C for 45 s, and (3) one final elongation cycle at 72°C for 10 min. A negative control without DNA was performed in every amplification run.

After amplification, PCR products were digested overnight at 37°C after adding 4 U of the restriction enzyme RsaI to the PCR mixture. Resulting fragments were separated by electrophoresis in 2% agarose gels. Each gel was run for 2 h at 150 V, stained with ethidium bromide and photographed under UV transmitted light. The ΦX174 DNA digested with HaeIII was used as length marker to estimate the size of the digested DNA fragments. The allele without the RsaI restriction site is designated here as C−60 allele (271 bp), whereas the allele with the RsaI restriction site is the G−60 allele (182 bp+89 bp).

PCR amplification of the D19S178, CA/GT and D19S903 microsatellites

PCR amplifications of the three microsatellites were carried out in a volume of 10 µl containing 250 ng DNA, 125 µM each of dATP, dCTP, dGTP and dTTP, 10% buffer (100 mM Tris-HCl, 500 mM KCl, 15 mM MgCl2, 0.01% gelatin, pH=8.3 at 25°C), 0.5 pmol of the forward primer and 0.4 pmol of the reverse primer for the D19S178, 1.8 pmol of the forward primer and 5 pmol of the reverse primer for the CA/GT, 4 pmol of the forward and reverse primers for the D19S903 microsatellites, and 0.3 U of Taq polymerase (Perkin Elmer Cetus). For the D19S178 microsatellite, the forward primer was 5-CACAACACTGTTCATTTGTC-3 and the reverse primer was 5-TTTCAGTAGAATTTCAGGCC-3. The amplification protocol was: (1) one cycle of denaturation at 93°C for 5 min; (2) 30 cycles of denaturation at 94°C for 20 s; (3) annealing at 55°C for 40 s; and (4) extension at 72°C for 20 s. For the CA/GT,10 the forward primer was 5-AAACTGCACCTAATCTTCCC-3 and the reverse primer was 5-AGGCTGTGTTTCCCCAGACT-3. The amplification protocol was: (1) one cycle of denaturation at 93°C for 5 min; (2) one cycle of annealing at 52°C for 1 min; and (3) 32 cycles of denaturation at 94°C for 20 s and annealing at 52°C for 60 s. For the D19S903 microsatellite, the forward primer was 5-ACCGCACTCCACCCTG-3 with an M13 sequence at the 5 end (5-CACGACGTTGTAAAACGAC-3), and the reverse primer was 5-TCCTCCTGTGAGATCCTCG-3. The amplification protocol was: (1) one cycle of denaturation at 93°C for 5 min; (2) one cycle of annealing at 62°C for 1 min; (3) 10 cycles of denaturation at 94°C for 20 s, annealing at 55°C for 1 min, and extension at 72°C for 5 s; and (4) 24 cycles of denaturation at 94°C for 20 s, annealing at 52°C for 1 min, and extension at 72°C for 5 s. Forward primers of the D19S178 and AC/GT microsatellites were labeled with an infrared tag (IRD800) (Li-Cor, Lincoln, NE, USA). An M13 sequence (5-GTCGTTTTACAACGTCGTG-3) tagged with IRD800 at a concentration of 5 pmol was used to label the forward primer of the D19S903 microsatellite.

After amplification, 1 µl of each PCR product was loaded on a 6% acrylamide urea gel on a DNA automatic sequencer (model 4000, Li-Cor, Lincoln, NE, USA). The genotyping was performed with a computer software (ONE-Dscan, Scanalytics, Billirica, MA, USA). Mendelian inheritance was confirmed within families for all markers typed on all subjects.

Statistical analysis

All statistical analyses were performed using SAS24 and SAGE25 software packages. The distributions of each variable were tested for normality using the Shapiro–Wilk W-test and those not normally distributed (FFAR, FFA50, FFA60% and INS) were loge transformed. Age and gender differences for all variables were tested using ANOVA, while race differences were tested using ANOVA after adjusting for age effects. A chi-square test was performed to test for potential race differences in allele frequencies of all genetic markers. For microsatellites, alleles were pooled for the χ2 tests when the expected value was less than 5. We also calculated the polymorphic information content (PIC).26

Linkage analysis

Phenotypes were adjusted for the effect of age (age, age2, age3) in each of the six gender-by-age (<30, ≥30–<50 and ≥50-y-old) groups in white subjects and in each of the four gender-by-age (<35 and ≥35-y-old) groups in black subjects using a stepwise regression, keeping only terms significant at the 5% level. ASF, AVF, ATF, FFAR, FFA50 and FFA60% were further adjusted for fat mass. For adjustment purposes, outliers (defined as those beyond±3 standard deviations (s.d.) from the mean of each gender and age group's specific distribution) were temporarily set aside. The regression parameters were then used to calculate the residuals for all subjects including the outliers. Residuals were then standardized to a mean=0 and s.d.=1. The sib-pair linkage method implemented in the SIBPAL version 3.1 software from SAGE25 was used to test for linkage between the phenotypes and the different markers.

Association

Two genotype groups were considered, ie carriers (genotypes C−60G and G−60G) and non-carriers (genotype C−60C) of the −60G allele. Association between the C−60G polymorphism and each phenotype was investigated separately in men and women using an ANCOVA (general linear model) procedure that included age (age, age2, age3) and race as covariates. ASF, AVF, ATF, FFAR, FFA50 and FFA60% were further adjusted for fat mass. Race-by-genotype interaction was estimated in the same model. In the presence of a significant gene-by-race interaction effect, the analysis was repeated in each race group separately. Least square means results obtained with the ANCOVA procedure for FFAR, FFA50 and FFA60% were back-transformed.

Results

Descriptive statistics for body fat phenotypes, plasma FFA and INS levels are summarized in Tables 1 and 2 for white and black subjects, respectively. Subjects of both races and genders were, on average, overweight with mean BMI values greater than 25 kg/m2. In white subjects, all body fatness variables increased significantly across the three age groups in both genders. FFAR increased significantly with age in men but not in women. In black men and women, BMI, %FAT, AVF, ATF and FFAR increased significantly across the two age groups. White men (107±3 cm2) have higher AVF than black men (80±5 cm2, P=0.0001). However, as compared to white women, black women exhibited a greater BMI (28.2±0.4 vs 25.1±0.3 kg/m2; P=0.0001), FAT (28.3±0.9 vs 21.2±0.7 kg; P=0.0001), %FAT (36.5±0.7 vs 30.2±0.5%; P=0.0001), SF8 (179±5 vs 165±3 mm; P=0.01), ASF (350±11 vs 293±9 cm2; P=0.0001) and ATF (424±13 vs 370±11 cm2; P=0.002; results not shown). In both races, INS was not significantly different across age or gender groups (Table 1). However, black women exhibited a significantly greater INS (84.0±3.9 pmol/l) than white women (59.9±11 pmol l; P=0.0001; results not shown).

Table 1 Body composition, plasma free fatty acid concentrations and fasting insulin levels in white subjects of the HERITAGE Family Study
Table 2 Body composition, plasma free fatty acid concentrations and fasting insulin in black subjects of the HERITAGE Family Study

Allele and genotype frequencies for the C−60G polymorphism are presented in Table 3. Allele (χ2=1.58, d.f.=1, P>0.05) and genotype (χ2=2.08, d.f.=1, P>0.05) frequencies were not significantly different between races.

Table 3 Genotype and allele frequencies of the hormone-sensitive lipase C−60G polymorphism in biologically unrelated sedentary white and black parents of the HERITAGE Family Study

The allele frequencies were different between the two races for the D19S178 (χ2=39.8, d.f.=10, P<0.001), CA/GT (χ2=99.9, d.f.=8, P<0.001) and D19S903 (χ2=39.7, d.f.=11, P<0.001) microsatellites and consequently the linkage analyses were performed separately in each race (data not shown). No significant linkage was observed between these markers and body fat traits in black subjects. However, in white subjects, weak linkages were observed between BMI and C−60G polymorphism (P=0.04, n=318), ASF and D19S903 (P=0.01, n=311), and between FFAR and FFA50 and D19S178 (P=0.02, n=286; P=0.04, n=271, respectively). Evidence of linkage was observed between ATF and D19S903 (P=0.02, n=311), FFAR and CA/GT and D19S903 (P=0.006, n=291; P=0.0004, n=294, respectively), FFA50 and CA/GT and D19S903 (P=0.01, n=276; P=0.0003, n=282, respectively) and FFA60% and CA/GT and D19S903 (P=0.002, n=282; P=0.00005, n=288, respectively).

The results of the association studies between the C-60G polymorphism of the LIPE gene and obesity-related phenotypes are presented in Table 4 for men and Tables 5 and Table 6 for women. In men, no evidence of gene-by-race interaction was found and no differences were found between carriers and non-carriers for any of the phenotypes (Table 4). Table 5 presents the results for women. Carriers of the G allele exhibited a 5% higher FATFR than non-carriers. By contrast, strong race-by-gene interactions were observed for BMI (P=0.0005), FAT (P=0.0007), %FAT (P=0.0003, Figure 1), SF8 (P=0.0001), ASF (P=0.03) and ATF (P=0.01). Therefore, the associations between the C−60G polymorphism and these phenotypes were investigated separately in white and black women. Results presented in Table 6, indicate that white women carrying the G allele exhibited a significant lower %FAT (−14%, P=0.005) and SF8 (−15%, P=0.01) than non-carriers. However, in black women, the same allele was associated with a greater BMI (+19%, P=0.004), FAT (+38%, P=0.009), %FAT (+18%, P=0.01) and SF8 (+35%, P=0.0009). In women of both races, the C−60G polymorphism was not associated with abdominal obesity adjusted for FAT. The variance in adiposity phenotypes accounted for by the C−60G polymorphism ranged from 3.9 to 6.3% in white women and from 2.2 to 4.6% in black women.

Table 4 Associations of the LIPE C−60G polymorphism with body composition and plasma free-fatty acid concentrations measured in men of both races
Table 5 Associations of the LIPE C−60G polymorphism with body composition and plasma free-fatty acid concentrations measured in women of both races
Table 6 Associations of the LIPE C−60G polymorphism with obesity-related phenotypes measured in white and black women
Figure 1
figure1

Association between the C−60G polymorphism and percentage body fat measured in white and black women. Data are means±s.e.m. P-values were obtained using ANCOVA with age as covariate.

To verify whether the associations observed between the C−60G polymorphism and body fat in women were influenced by insulin levels, the analyses were repeated with fasting insulin as a covariate in our models (results not shown). The results remained essentially the same in white women, but the association observed in black women for the adiposity variables (BMI, FAT, %FAT and SF8) became non-significant.

Discussion

The present report shows that a mutation in the promoter region of the LIPE gene is associated with adiposity in women. It has been suggested that the DNA sequence between nucleotides −86 and −57 is necessary for the expression of HSL.27 Moreover, the C−60G polymorphism has been shown to affect the expression of HSL. In vitro studies showed that the genomic sequence (−86 to+85 bp upstream of the transcription start site) with the −60G nucleotide inserted into a pGL3Enhancer vector resulted in a 38.5% lower luciferase activity compared to the wide-type −60C construct.18 The C−60G polymorphism is in close proximity of a sterol response element (SRE-1),18 which is a good candidate for explaining the gender difference in associations we observed. However, since HSL activity was not measured in the present study, further studies are needed to verify whether carriers of the G allele have lower HSL activity or gene expression compared to non-carriers.

Reports dealing with the association between HSL expression and obesity or regional fat distribution phenotypes have yielded inconsistent results. A recent in vitro study suggested that HSL expression (mRNA and protein levels) was diminished in subcutaneous fat depots of obese subjects.8 In another report,6 the ability of catecholamines to stimulate lipolysis was lower in abdominal subcutaneous fat depots of normal-weight subjects with a family history of obesity but HSL mRNA levels did not differ. Fat depot differences have been observed for the HSL mRNA levels, with higher levels in abdominal subcutaneous than in abdominal visceral adipocytes both in lean and in obese subjects.28 In another report, however, no differences were observed.29 Thus, further studies are needed to clarify whether HSL mRNA expression varies among fat depots or between normal-weight and obese subjects. In addition to its expression in adipose tissue, hormone-sensitive lipase was shown to be expressed in the skeletal muscle and is under the control of β-adrenergic receptors.30 The association we observed between the C-60G polymorphism and fat-free mass suggests that the mobilization of triglycerides stored in the cytoplasm of myocites is less important in women carriers of the −60G allele independent of the race.

In addition to regional variation and significant correlations with fat cell size,28 HSL activity is reduced in subcutaneous fat depots of obese subjects independent of gender8 and in normal-weight subjects with a family history of obesity.6 In obese subjects, the activity of HSL may be an important factor determining whether abdominal subcutaneous fat cells have low or high lipolytic capacity independent of the effect of fat cell size.7

The results of the present study suggest that the effects of the LIPE gene marker on obesity-related phenotypes are gender- and race-specific. Thus, our results indicated no association with adiposity in men, while strong evidence of association was observed in women but in opposite directions in black compared to white subjects, particularly for percentage body fat (see Figure 1) and sum of SF8. Previous studies suggested that adipocytes from abdominal subcutaneous fat depots of obese subjects are characterized by a reduced HSL activity.8 Moreover, we have shown that black women have more subcutaneous fat than white women. We can thus speculate that black women carriers of the G allele have a reduced HSL activity in the subcutaneous fat depots, leading to a greater fat accumulation (lower fat mobilization) than non-carriers and resulting in high body fat. Since association between the C−60G polymorphism and body fat is race specific, other unknown factors may influence the effect of the G allele on body fat in white women. In the present study, a trend was observed in men for an association between the C−60G polymorphism and FFAR and linkages were observed between LIPE markers and FFAR, FFA50 and FFA60%. Thus, these results suggest that the LIPE gene or a gene in linkage disequilibrium with the LIPE gene plays a role in determining FFA levels.

The HSL pathway is regulated by a number of hormones, including insulin, which decreases its activity by reducing phosphorylation.6,8 HSL activity could be related to the development of insulin resistance since continuously elevated FFA levels might play a role in the pathogenesis of type 2 diabetes in predisposed individuals by impairing peripheral glucose utilization and promoting hepatic glucose overproduction.31 Two recent association studies showed some evidence that LIPE could represent a susceptibility gene for obesity and type 2 diabetes.13,16 As proposed by Jiang et al,32 black adolescent women have greater levels of insulin than their white counterparts, suggesting that they are more prone to develop insulin resistance. This result was also observed in the HERITAGE cohort with adult black women exhibiting greater levels of insulin than white women. These results suggest that a greater level of insulin resistance status observed in black women will lead to a lower inhibition of the hormone-sensitive lipase activity and thus aggravation of the pathogenesis of type 2 diabetes. The associations that were observed in the present study between the C−60G polymorphism and BMI, fat mass, FAT% and sum of SF8 in black women became nonsignificant after adjustment for fasting insulin, suggesting that the effects of the C−60G polymorphism on body fat are strongly influenced by insulin levels. Thus, the greater amount of subcutaneous fat and insulin levels found in black women compared to white women may account for the disappearance of the association after adjustment for insulin.

In summary, we observed strong gene-by-race interactions between the C−60G polymorphism in the LIPE gene and adiposity phenotypes in women only, but the strength of the interaction observed depends on fasting insulin levels. The C−60G polymorphism was associated with higher adiposity in black women, while it was associated with a reduced amount of fat in white women. In black women, the association disappeared when fasting insulin was taken into account. We suggest that the LIPE gene may play a role in variation in adiposity and that its effect is gender-, race- and insulin-dependent.

References

  1. 1

    Langin D, Holm C, Lafontan M . Adipocyte hormone-sensitive lipase: a major regulator of lipid metabolism Proc Nutr Soc 1996 55: 93–109.

    CAS  Article  Google Scholar 

  2. 2

    Carey GB . Mechanisms regulating adipocyte lipolysis Adv Exp Med Biol 1998 441: 157–170.

    CAS  Article  Google Scholar 

  3. 3

    Large V, Arner P . Regulation of lipolysis in humans. Pathophysiological modulation in obesity, diabetes, and hyperlipidaemia Diabetes Metab 1998 24: 409–418.

    CAS  Google Scholar 

  4. 4

    Arner P . Impact of exercise on adipose tissue metabolism in humans Int J Obes Relat Metab Disord 1995 19(Suppl 4): S18–21.

    CAS  PubMed  Google Scholar 

  5. 5

    Romijn JA, Coyle EF, Sidossis LS, Gastaldelli A, Horowitz JF, Endert E, Wolfe RR . Regulation of endogenous fat and carbohydrate metabolism in relation to exercise intensity and duration Am J Physiol 1993 265: E380–391.

    CAS  PubMed  Google Scholar 

  6. 6

    Hellström L, Langin D, Reynisdottir S, Dauzats M, Arner P . Adipocyte lipolysis in normal weight subjects with obesity among first-degree relatives Diabetologia 1996 39: 921–928.

    Article  Google Scholar 

  7. 7

    Large V, Arner P, Reynisdottir S, Grober J, Van Harmelen V, Holm C, Langin D . Hormone-sensitive lipase expression and activity in relation to lipolysis in human fat cells J Lipid Res 1998 39: 1688–1695.

    CAS  PubMed  Google Scholar 

  8. 8

    Large V, Reynisdottir S, Langin D, Fredby K, Klannemark M, Holm C, Arner P . Decreased expression and function of adipocyte hormone-sensitive lipase in subcutaneous fat cells of obese subjects J Lipid Res 1999 40: 2059–2066.

    CAS  Google Scholar 

  9. 9

    Laurell H, Grober J, Holst LS, Holm C, Mohrenweiser HW, Langin D . The hormone-sensitive lipase (LIPE) gene located on chromosome 19q13.1→13.2 is not duplicated on 19p13.3 Int J Obes Relat Metab Disord 1995 19: 590–592.

    CAS  PubMed  Google Scholar 

  10. 10

    Levitt RC, Liu Z, Nouri N, Meyers DA, Brandriff B, Mohrenweiser HM . Mapping of the gene for hormone sensitive lipase (LIPE) to chromosome 19q13.1→q13.2 Cytogenet Cell Genet 1995 69: 211–214.

    CAS  Article  Google Scholar 

  11. 11

    Shimada F, Makino H, Hashimoto N, Iwaoka H, Taira M, Nozaki O, Kanatsuka A, Holm C, Langin D, Saito Y . Detection of an amino acid polymorphism in hormone-sensitive lipase in Japanese subjects Metabolism 1996 45: 862–864.

    CAS  Article  Google Scholar 

  12. 12

    Levitt RC, Jedlicka AE, Nouri N . Dinucleotide repeat polymorphism at the hormone sensitive lipase (LIPE) locus Hum Mol Genet 1992 1: 139.

    CAS  Article  Google Scholar 

  13. 13

    Klannemark M, Orho M, Langin D, Laurell H, Holm C, Reynisdottir S, Arner P, Groop L . The putative role of the hormone-sensitive lipase gene in the pathogenesis of type II diabetes mellitus and abdominal obesity Diabetologia 1998 41: 1516–1522.

    CAS  Article  Google Scholar 

  14. 14

    Pajukanta P, Porkka KV, Antikainen M, Taskinen MR, Perola M, Murtomaki-Repo S, Ehnholm S, Nuotio I, Suurinkeroinen L, Lahdenkari AT, Syvanen AC, Viikari JS, Ehnholm C, Peltonen L . No evidence of linkage between familial combined hyperlipidemia and genes encoding lipolytic enzymes in Finnish families Arterioscler Thromb Vasc Biol 1997 17: 841–850.

    CAS  Article  Google Scholar 

  15. 15

    Austin MA, Talmud PJ, Luong LA, Haddad L, Day IN, Newman B, Edwards KL, Krauss RM, Humphries SE . Candidate-gene studies of the atherogenic lipoprotein phenotype: a sib-pair linkage analysis of DZ women twins Am J Hum Genet 1998 62: 406–419.

    CAS  Article  Google Scholar 

  16. 16

    Magre J, Laurell H, Fizames C, Antoine PJ, Dib C, Vigouroux C, Bourut C, Capeau J, Weissenbach J, Langin D . Human hormone-sensitive lipase: genetic mapping, identification of a new dinucleotide repeat, and association with obesity and NIDDM Diabetes 1998 47: 284–286.

    CAS  Article  Google Scholar 

  17. 17

    Clément K, Dina C, Basdevant A, Chastang N, Pelloux V, Lahlou N, Berlan M, Langin D, Guy-Grand B, Froguel P . A sib-pair analysis study of 15 candidate genes in French families with morbid obesity: indication for linkage with islet 1 locus on chromosome 5q Diabetes 1999 48: 398–402.

    Article  Google Scholar 

  18. 18

    Talmud PJ, Palmen J, Walker M . Identification of genetic variation in the human hormone-sensitive lipase gene and 5 sequences: homology of 5 sequences with mouse promoter and identification of potential regulatory elements Biochem Biophys Res Commun 1998 252: 661–668.

    CAS  Article  Google Scholar 

  19. 19

    Bouchard C, Leon AS, Rao DC, Skinner JS, Wilmore JH, Gagnon J . The HERITAGE family study. Aims, design, and measurement protocol Med Sci Sports Exerc 1995 27: 721–729.

    CAS  Article  Google Scholar 

  20. 20

    Wilmore JH, Stanforth PR, Domenick MA, Gagnon J, Daw EW, Leon AS, Rao DC, Skinner JS, Bouchard C . Reproducibility of anthropometric and body composition measurements: the Heritage Family Study Int J Obes Relat Metab Disord 1997 21: 297–303.

    CAS  Article  Google Scholar 

  21. 21

    Ferland M, Després JP, Tremblay A, Pinault S, Nadeau A, Moorjani S, Lupien PJ, Thériault G, Bouchard C . Assessment of adipose tissue distribution by computed axial tomography in obese women: association with body density and anthropometric measurements Br J Nutr 1989 61: 139–148.

    CAS  Article  Google Scholar 

  22. 22

    Wilmore JH, Stanforth PR, Turley KR, Gagnon J, Daw EW, Leon AS, Rao DC, Skinner JS, Bouchard C . Reproducibility of cardiovascular, respiratory, and metabolic responses to submaximal exercise: the Heritage Family Study Med Sci Sports Exerc 1998 30: 259–265.

    CAS  Article  Google Scholar 

  23. 23

    Desbuquois B, Aurbach GD . Use of polyethylene glycol to separate free and antibody-bound peptide hormones in radioimmunoassays J Clin Endocrinol Metab 1971 33: 732–738.

    CAS  Article  Google Scholar 

  24. 24

    SAS Statistical analysis, V. 6.12 SAS Institute Inc.: Cary, North Carolina 1996.

  25. 25

    SAGE . Statistical analysis for genetic epidemiology. Computer program package available from the Department of Biometry and Genetics, release 3.1 Edn. LSU Medical Center: New Orleans, LA 1997.

  26. 26

    Ott J . Analysis of human genetic linkage The John Hopkins University Press: Baltimore, MD 1991.

  27. 27

    Grober J, Laurell H, Blaise R, Fabry B, Schaak S, Holm C, Langin D . Characterization of the promoter of human adipocyte hormone-sensitive lipase Biochem J 1997 328: 453–461.

    CAS  Article  Google Scholar 

  28. 28

    Reynisdottir S, Dauzats M, Thörne A, Langin D . Comparison of hormone-sensitive lipase activity in visceral and subcutaneous human adipose tissue J Clin Endocrinol Metab 1997 82: 4162–4166.

    CAS  PubMed  Google Scholar 

  29. 29

    Lefebvre AM, Laville M, Vega N, Riou JP, van Gaal L, Auwerx J, Vidal H . Depot-specific differences in adipose tissue gene expression in lean and obese subjects Diabetes 1998 47: 98–103.

    CAS  Article  Google Scholar 

  30. 30

    Langfort J, Ploug T, Ihlemann J, Enevoldsen LH, Stallknecht B, Saldo M, Kjaer M, Holm C, Galbo H . Hormone-sensitive lipase (HSL) expression and regulation in skeletal muscle Adv Exp Med Biol 1998 441: 219–228.

    CAS  Article  Google Scholar 

  31. 31

    Boden G . Role of fatty acids in the pathogenesis of insulin resistance and NIDDM Diabetes 1997 46: 3–10.

    CAS  Article  Google Scholar 

  32. 32

    Jiang X, Srinivasan SR, Radhakrishnamurthy B, Dalferes ER, Berenson GS . Racial (black–white) differences in insulin secretion and clearance in adolescents: the Bogalusa heart study Pediatrics 1996 97: 357–360.

    CAS  PubMed  Google Scholar 

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Acknowledgements

The HERITAGE Family Study is supported by NHLBI through grants HL47323 (AS Leon), HL47317 (DC Rao), HL47327 (JS Skinner), HL47321 (JH Wilmore) and HL45670 (C Bouchard). Arthur S Leon is partially supported by the Henry L Taylor endowed Professorship in Exercise Science and Health Enhancement. Claude Bouchard is partially supported by the George A Bray Chair in Nutrition. Some of the results of this study were obtained with the program SAGE whose development was supported by the US Public Health Service Research Grant (1P41RR03655) from the National Center for Research Resources. Thanks are expressed to all the investigators, local project coordinators, research assistants, laboratory technicians and secretaries who have contributed to this study.

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Correspondence to L Pérusse.

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Garenc, C., Pérusse, L., Chagnon, Y. et al. The hormone-sensitive lipase gene and body composition: the HERITAGE Family Study. Int J Obes 26, 220–227 (2002). https://doi.org/10.1038/sj.ijo.0801872

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Keywords

  • hormone-sensitive lipase gene
  • body composition
  • abdominal fat
  • free-fatty acids
  • association

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