FABP4 plasma levels are increased in familial combined hyperlipidemia

Abstract

The lipid profile of familial combined hyperlipidemia (FCHL) shares some characteristics with atherogenic dyslipidemia seen in diabetes, metabolic syndrome, and obesity. Adipocyte fatty acid-binding protein 4 (FABP4) appears to be a determinant of atherogenic dyslipidemia. We examined relationships between FABP4 plasma concentrations, dyslipidemia, and metabolic variables in patients with FCHL. We studied 273 unrelated FCHL patients and 118 control subjects. FABP4 was higher in FCHL than controls, with mean levels of 21.8 (10.1) μg/l and 19.2 (9.2) μg/l, respectively (adjusted P= 0.012). In FCHL, FABP4 correlated to body mass index (BMI), waist circumference, insulin levels, and homeostasis model assessment (HOMA) index (all P< 0.05), but not to lipid levels, whereas in obese patients, FABP4 correlated to triglyceride levels (r = 0.303, P= 0.014) and very low density lipoprotein size (r = 0.502, P = 0.001), as determined by nuclear magnetic resonance. Associations of FABP4 with BMI and waist circumference, but not with insulin levels, persisted in this subgroup. Plasma FABP4 does not influence the lipid phenotype of FCHL. In a small subgroup of obese FCHL, FABP4 levels were associated with triglyceride-rich lipoproteins independent of insulin resistance. These results support a hyperlipidemic mechanism of FCHL different from similar metabolic conditions where fat mass is strongly related to FABP4 and hypertriglyceridemia. The lipid profile of familial combined hyperlipidemia (FCHL) shares some characteristics with atherogenic dyslipidemia seen in diabetes, metabolic syndrome, and obesity. Adipocyte fatty acid-binding protein 4 (FABP4) appears to be a determinant of atherogenic dyslipidemia. We examined relationships between FABP4 plasma concentrations, dyslipidemia, and metabolic variables in patients with FCHL. We studied 273 unrelated FCHL patients and 118 control subjects. FABP4 was higher in FCHL than controls, with mean levels of 21.8 (10.1) μg/l and 19.2 (9.2) μg/l, respectively (adjusted P= 0.012). In FCHL, FABP4 correlated to body mass index (BMI), waist circumference, insulin levels, and homeostasis model assessment (HOMA) index (all P< 0.05), but not to lipid levels, whereas in obese patients, FABP4 correlated to triglyceride levels (r = 0.303, P= 0.014) and very low density lipoprotein size (r = 0.502, P = 0.001), as determined by nuclear magnetic resonance. Associations of FABP4 with BMI and waist circumference, but not with insulin levels, persisted in this subgroup. Plasma FABP4 does not influence the lipid phenotype of FCHL. In a small subgroup of obese FCHL, FABP4 levels were associated with triglyceride-rich lipoproteins independent of insulin resistance. These results support a hyperlipidemic mechanism of FCHL different from similar metabolic conditions where fat mass is strongly related to FABP4 and hypertriglyceridemia. Familial combined hyperlipidemia (FCHL) is a common dyslipidemia that carries a high risk of cardiovascular disease. Indeed, it is estimated that about one in five patients surviving a premature myocardial infarction is a FCHL bearer (1Brunzell J.D. Schrott H.G. Motulsky A.G. Bierman E.L. Myocardial infarction in the familial forms of hypertriglyceridemia.Metabolism. 1976; 25: 313-320Abstract Full Text PDF PubMed Scopus (229) Google Scholar). FCHL is a complex genetic disorder clinically characterized by variable phenotypic expression in both index cases and family members. Although hereditary transmission follows a dominant autosomic pattern, a unique gene or set of genes has not been identified for FCHL. Metabolic studies suggest that the main defect in FCHL is an increased production rate of triglyceride-rich lipoproteins, mainly liver-derived very low-density lipoproteins (VLDL) (2Cabezas M.C. de Bruin T.W. Jansen H. Kock L.A. Kortland W. Erkelens D.W. Impaired chylomicron remnant clearance in familial combined hyperlipidemia.Arterioscler. Thromb. 1993; 13: 804-814Crossref PubMed Scopus (113) Google Scholar), with ensuing hyperlipidemia characterized by plasma increases of both triglycerides and cholesterol. Hypertriglyceridemia is usually associated with the production of atherogenic small and dense low-density lipoproteins (LDL) and a tendency toward reduced high-density lipoprotein (HDL) cholesterol levels. Altogether, these metabolic derangements promote an increase in the number of circulating apolipoprotein B (apoB)-containing particles, which is reflected by an increased apoB plasma level (3Janus E.D. Nicoll A.M. Turner P.R. Magill P. Lewis B. Kinetic bases of the primary hyperlipidemias: studies of apolipoprotein B turnover in genetically defined subjects.Eur. J. Clin. Invest. 1980; 10: 161-172Crossref PubMed Scopus (169) Google Scholar). This lipid profile, referred to as atherogenic dyslipidemia, is similar to that observed in patients with insulin resistance syndromes, such as diabetes, obesity, metabolic syndrome, and primary and secondary lipodystrophies (4Ayyobi A.F. Brunzell J.D. Lipoprotein distribution in the metabolic syndrome, type 2 diabetes mellitus, and familial combined hyperlipidemia.Am. J. Cardiol. 2003; 92: 27J-33JAbstract Full Text Full Text PDF PubMed Scopus (77) Google Scholar). Because of this apparently common lipid phenotype, FCHL is considered to share a pathogenic basis with the above-mentioned diseases. Additionally, many FCHL patients fulfill the criteria for metabolic syndrome because they already have the necessary lipid defects. Several studies have implicated metabolic alterations of adipose tissue in the pathogenesis of FCHL (5de Graaf J. Veerkamp M.J. Stalenhoef A.F. Metabolic pathogenesis of familial combined hyperlipidaemia with emphasis on insulin resistance, adipose tissue metabolism and free fatty acids.J. R. Soc. Med. 2002; 95: 46-53PubMed Google Scholar, 6Meex S.J. van der Kallen C.J. van Greevenbroek M.M. Eurlings P.M. El Hasnaoui M. Evelo C.T. Lindsey P.J. Luiken J.J. Glatz J.F. de Bruin T.W. Up-regulation of CD36/FAT in preadipocytes in familial combined hyperlipidemia.FASEB J. 2005; 19: 2063-2065Crossref PubMed Scopus (15) Google Scholar, 7van der Vleuten G.M. van Tits L.J. den Heijer M. Lemmers H. Stalenhoef A.F. de Graaf J. Decreased adiponectin levels in familial combined hyperlipidemia patients contribute to the atherogenic lipid profile.J. Lipid Res. 2005; 46: 2398-2404Abstract Full Text Full Text PDF PubMed Scopus (26) Google Scholar, 8Eurlings P.M. van der Kallen C.J. Geurts J.M. Kouwenberg P. Boeckx W.D. de Bruin T.W. Identification of differentially expressed genes in subcutaneous adipose tissue from subjects with familial combined hyperlipidemia.J. Lipid Res. 2002; 43: 930-935Abstract Full Text Full Text PDF PubMed Google Scholar). Among these studies, it has been reported that preadipocytes from patients with FCHL have upregulated CD36/FAT, which has been associated with an insulin resistance state (6Meex S.J. van der Kallen C.J. van Greevenbroek M.M. Eurlings P.M. El Hasnaoui M. Evelo C.T. Lindsey P.J. Luiken J.J. Glatz J.F. de Bruin T.W. Up-regulation of CD36/FAT in preadipocytes in familial combined hyperlipidemia.FASEB J. 2005; 19: 2063-2065Crossref PubMed Scopus (15) Google Scholar) On the other hand, low levels of circulating adiponectin have been observed in patients with FCHL (7van der Vleuten G.M. van Tits L.J. den Heijer M. Lemmers H. Stalenhoef A.F. de Graaf J. Decreased adiponectin levels in familial combined hyperlipidemia patients contribute to the atherogenic lipid profile.J. Lipid Res. 2005; 46: 2398-2404Abstract Full Text Full Text PDF PubMed Scopus (26) Google Scholar). Furthermore, differential expression of genes from subcutaneous adipose tissue in FCHL indicates overexpression of genes associated with inflammation and insulin resistance, such as tumor necrosis factor α, interleukin-6, and intercellular adhesion molecule-1. These data suggest an involvement of adipose tissue in the FCHL clinical phenotype (8Eurlings P.M. van der Kallen C.J. Geurts J.M. Kouwenberg P. Boeckx W.D. de Bruin T.W. Identification of differentially expressed genes in subcutaneous adipose tissue from subjects with familial combined hyperlipidemia.J. Lipid Res. 2002; 43: 930-935Abstract Full Text Full Text PDF PubMed Google Scholar). The fatty acid-binding protein 4, also known as FABP4, is highly expressed in adipose tissue, especially during adipocyte differentiation (9Cabré A. Lázaro I. Girona J. Manzanares J. Marimón F. Plana N. Heras M. Masana L. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients.Atherosclerosis. 2007; 195: e150-e158Abstract Full Text Full Text PDF PubMed Scopus (122) Google Scholar). FABP4 has been considered as a major cytoplasmic protein related to glucose and lipid metabolic functions (10Cao H. Gerhold K. Mayers J.R. Wiest M.M. Watkins S.M. Hotamisligil G.S. Identification of a lipokine, a lipid hormone linking adipose tissue to systemic metabolism.Cell. 2008; 134: 933-944Abstract Full Text Full Text PDF PubMed Scopus (818) Google Scholar, 11Makowski L. Brittingham K.C. Reynolds J.M. Suttles J. Hotamisligil G.S. The fatty acid-binding protein, aP2, coordinates macrophage cholesterol trafficking and inflammatory activity. Macrophage expression of aP2 impacts peroxisome proliferator-activated receptor gamma and IkappaB kinase activities.J. Biol. Chem. 2005; 280: 12888-12895Abstract Full Text Full Text PDF PubMed Scopus (310) Google Scholar). FABP4-deficient mice are protected from insulin resistance, hyperglycemia, and atherosclerosis (12Boord J.B. Maeda K. Makowski L. Babaev V.R. Fazio S. Linton M.F. Hotamisligil G.S. Combined adipocyte-macrophage fatty acid-binding protein deficiency improves metabolism, atherosclerosis, and survival in apolipoprotein E-deficient mice.Circulation. 2004; 110: 1492-1498Crossref PubMed Scopus (165) Google Scholar, 13Makowski L. Boord J.B. Maeda K. Babaev V.R. Uysal K.T. Morgan M.A. Parker R.A. Suttles J. Fazio S. Hotamisligil G.S. et al.Lack of macrophage fatty-acid-binding protein aP2 protects mice deficient in apolipoprotein E against atherosclerosis.Nat. Med. 2001; 7: 699-705Crossref PubMed Scopus (569) Google Scholar). Recently, it has been demonstrated that FABP4 is released into the human blood stream (14Xu A. Wang Y. Xu J.Y. Stejskal D. Tam S. Zhang J. Wat N.M. Wong W.K. Lam K.S. Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome.Clin. Chem. 2006; 52: 405-413Crossref PubMed Scopus (475) Google Scholar). The circulating FABP4 level has been associated with central adiposity, insulin resistance, and subclinical atherosclerosis (12Boord J.B. Maeda K. Makowski L. Babaev V.R. Fazio S. Linton M.F. Hotamisligil G.S. Combined adipocyte-macrophage fatty acid-binding protein deficiency improves metabolism, atherosclerosis, and survival in apolipoprotein E-deficient mice.Circulation. 2004; 110: 1492-1498Crossref PubMed Scopus (165) Google Scholar, 14Xu A. Wang Y. Xu J.Y. Stejskal D. Tam S. Zhang J. Wat N.M. Wong W.K. Lam K.S. Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome.Clin. Chem. 2006; 52: 405-413Crossref PubMed Scopus (475) Google Scholar, 15Yeung D.C. Xu A. Cheung C.W. Wat N.M. Yau M.H. Fong C.H. Chau M.T. Lam K.S. Serum adipocyte fatty acid-binding protein levels were independently associated with carotid atherosclerosis.Arterioscler. Thromb. Vasc. Biol. 2007; 27: 1796-1802Crossref PubMed Scopus (170) Google Scholar). FABP4 has been postulated to be an early marker of metabolic syndrome and the future development of type 2 diabetes (16Xu A. Tso A.W. Cheung B.M. Wang Y. Wat N.M. Fong C.H. Yeung D.C. Janus E.D. Sham P.C. Lam K.S. Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study.Circulation. 2007; 115: 1537-1543Crossref PubMed Scopus (297) Google Scholar, 17Tso A.W. Xu A. Sham P.C. Wat N.M. Wang Y. Fong C.H. Cheung B.M. Janus E.D. Lam K.S. Serum adipocyte fatty acid binding protein as a new biomarker predicting the development of type 2 diabetes: a 10-year prospective study in a Chinese cohort.Diabetes Care. 2007; 30: 2667-2672Crossref PubMed Scopus (235) Google Scholar). In our previous studies, FABP4 plasma levels have been associated with metabolic syndrome in diabetic patients (9Cabré A. Lázaro I. Girona J. Manzanares J. Marimón F. Plana N. Heras M. Masana L. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients.Atherosclerosis. 2007; 195: e150-e158Abstract Full Text Full Text PDF PubMed Scopus (122) Google Scholar) as well as with the presence of metabolic syndrome and lipodystrophy in HIV-infected patients (18Coll B. Cabré A. Alonso-Villaverde C. Lázaro I. Aragonés G. Parra S. Girona J. Masana L. The fatty acid binding protein-4 (FABP4) is a strong biomarker of metabolic syndrome and lipodystrophy in HIV-infected patients.Atherosclerosis. 2008; 199: 147-153Abstract Full Text Full Text PDF PubMed Scopus (28) Google Scholar). We have also reported that FABP4 is a strong determinant of atherogenic dyslipidemia in diabetes (19Cabré A. Lázaro I. Girona J. Manzanares J.M. Marimón F. Plana N. Heras M. Masana L. Plasma fatty acid binding protein 4 is associated with atherogenic dyslipidemia in diabetes.J. Lipid Res. 2008; 49: 1746-1751Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar). Although the mechanisms involved in this effect are unknown, they are probably linked to the hyperlipolytic state of these dysmetabolic conditions. Therefore, because FABP4 is currently considered a primary marker of adipose tissue metabolism derangement influencing the lipid profile, we hypothesized that if adipose tissue alterations have an important role in the clinical expression of FCHL, then FABP4 plasma levels will be associated with dyslipemia in FCHL. In this study, we determined for the first time the FABP4 plasma levels in a large cohort of FCHL patients and related them to metabolic alterations. Two hundred seventy-three patients with FCHL were included in the study. The criteria for FCHL diagnosis was based on the presence of primary combined hyperlipidemia, with off treatment serum LDL cholesterol (or total cholesterol if triglycerides > 3.38 mmol/l) > 90th percentile of the reference population or > 4.90 mmol/l (non–HDL cholesterol > 5.67 mmol/l if triglycerides > 3.38 mmol/l); triglycerides > 90th percentile of reference values or > 2.25 mmol/l; and at least one first-degree relative with hyperlipidemia (total cholesterol and/or triglycerides >90th percentile) or a first-degree relative with premature coronary heart disease. Participants were recruited from four lipid clinics in Spain. Patients with unstable angina, myocardial infarction within the last 3 months, daily alcohol intake > 30 g, a weight change > 10% in the last 3 months, or those participating in intensive physical training or a weight-loss program were excluded a priori from entering the study. Demographic and anthropometric data and prior history of cardiovascular disease were recorded. A full physical examination was performed, and fasting blood samples were collected. Any lipid-lowering treatment was discontinued at least 4 weeks (6 weeks in the case of fibrates) before blood extraction. For purposes of comparing FABP4 levels in FCHL and in healthy subjects, we randomly selected a control group of 118 healthy subjects among those matched for age, gender, and body mass index (BMI) from a general population database and plasma library (BIOBANC, Reus) belonging to the same geographical area. To assess the impact of adiposity on the FCHL phenotype, patients were subdivided by obesity status (BMI < 30 kg/m2 or ≥ 30 kg/m2) for further analyses. Metabolic syndrome in FCHL patients was defined according to National Cholesterol Education Program Adult Treatment Panel III (ATP-III) criteria (20Grundy S.M. Brewer Jr., H.B. Cleeman J .I. Smith Jr., S.C. Lenfant C. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition.Circulation. 2004; 109: 433-438Crossref PubMed Scopus (4276) Google Scholar). FCHL patients were categorized as having metabolic syndrome when they presented at least three of the following features: (a) central obesity (waist circumference ≥ 88 cm in women or ≥ 102 cm in men); (b) fasting glucose level ≥ 5.6 mmol/l or treatment with oral hypoglycemic agents; (c) hypertriglyceridemia (fasting triglycerides ≥ 1.69 mmol/l); (d) low HDL cholesterol (< 1.29 mmol/l in women or < 1.03 mmol/l in men); and (e) hypertension (blood pressure ≥ 130/85 mm Hg or antihypertensive treatment). The basic biochemical parameters, including the standard lipid profile and glucose, insulin, apoB, and high-sensitivity C-reactive protein (hsCRP) were measured locally in fasting sera using standard enzymatic, immunoturbidimetric, chemiluminescent, RIA, and immunonephelometric assays, respectively. The precision of these techniques, as described by coefficients of variation (CV) were < 5%, < 5%, < 8%,and < 8% interassay, respectively. Non–HDL cholesterol was calculated and used for clinical purposes and for the analyses included in this study instead of LDL cholesterol because, by definition, the majority of FCHL patients had hypertriglyceridemia (19% with triglyceride levels > 4.5 mmol/l), which precludes the estimation of LDL cholesterol by the Friedewald equation. Insulin resistance (IR) was estimated by using the homeostasis model assessment (HOMA) index (HOMA-IR), calculated as fasting glucose (in mmol/l) times fasting insulin (in mIU/l) divided by 22.5 (21Matthews D.R. Hosker J.P. Rudenski A.S. Naylor B.A. Treacher D.F. Turner R.C. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.Diabetologia. 1985; 28: 412-419Crossref PubMed Scopus (25481) Google Scholar). IR definition was established to be within the 75th percentile of our population (HOMA-IR ≥ 3.2). Plasma samples sent from each center to the Reus laboratory were used for measurement of FABP4 levels by a commercial ELISA kit (BioVendor Laboratory Medicine Inc., Brno, Czech Republic). The precision of this assay was 5.3% CV intra-assay and 3.9% CV interassay. The antibodies used in the human FABP4 ELISA are highly specific for human FABP4, with no detectable cross-reactivity to human FABP1, FABP2, FABP3, or FABP5. Results are expressed in “Système International” (SI) units. Plasma samples from the first 167 FCHL patients included in the study were used for the nuclear magnetic resonance (NMR) lipid profile study. Detailed lipoprotein subclassification (type, concentration, and size) was performed on plasma using NMR spectroscopy (NMR LipoProfile, Raleigh, NC) (22Negredo E. Ribalta J. Ferré R. Salazar J. Rey-Joly C. Sirera G. Masana L. Clotet B. Efavirenz induces a striking and generalized increase of HDL-cholesterol in HIV-infected patients.AIDS. 2004; 18: 819-821Crossref PubMed Scopus (43) Google Scholar). Data are presented as molar particle concentrations and sizes are given in nanometers. NMR data resulted in the following spectra: three subclasses of VLDL, including large VLDL and chylomicrons, medium VLDL, and small VLDL; intermediate-density lipoprotein (IDL); four subclasses of LDL, including large LDL, medium LDL, small LDL, and very small LDL; and three subclasses of HDL, including large HDL, medium HDL, and small HDL. Analyses were performed using SPSS (version 15.0, SPSS Inc., Chicago, IL). All data are presented as means (SD) except when otherwise stated. Normality distribution was assessed with the Kolmogorov-Smirnov test. Log transformation was performed before analyses when variables had a skewed distribution. The FCHL samples were divided into two subgroups of nonobese and obese patients according to BMI of < 30 or ≥30 kg/m2. One-way ANOVA and Fisher tests were used for comparisons between two groups for continuous and categorical variables, respectively. Univariate linear general models were used to adjust FABP4 values for waist circumference, and multiple testing was corrected with Bonferroni testing by multiplying the univariate P value by the number of comparisons. Spearman correlation coefficients between FABP4 and other continuous variables were determined using a bivariate correlation test. FABP4 concentrations were categorized into sex-adjusted tertiles. A multiple linear regression analysis, including age, gender, waist circumference, insulin, cholesterol, and FABP4 plasma levels was performed to find the variables with an independent association with triglycerides in the obese FCHL subgroup. A binary logistic regression analysis was used to calculate the odds ratio (OR) for the association of raised FABP4 plasma concentrations (third tertile versus second or first tertile) with the presence of metabolic syndrome. FABP4 first tertile was the reference group. The model included age, IR, hsCRP, apoB, LDL cholesterol and FABP4 in sex-adjusted tertiles. Metabolic syndrome components were not included. P values shown, associated with the ORs, were obtained from a likelihood ratio test. A P value < 0.05 was considered statistically significant. We certify that all applicable institutional and governmental regulations concerning the ethical use of human volunteers were followed during this research. All subjects gave written informed consent, and each hospital's ethics committee approved the protocol design and the use of previously recorded databases and stored plasma samples for this study when necessary. The clinical characteristics of study groups are summarized in Table 1. FABP4 plasma levels in FCHL were significantly higher than in controls (Table 1). Women had significantly higher FABP4 levels than men, both in the FCHL group [25.5 (9.5) μg/l versus 20.0 (9.9) μg/l, respectively; P <0.001 after Bonferroni correction] and in the control group [25.7 (9.3) μg/l versus 15.1 (6.4) μg/l, respectively; P <0.001 after Bonferroni correction]. When subdivided by gender, FCHL men had higher FABP4 levels than controls [20.0 (9.9) μg/l versus 15.1 (6.4) μg/l, respectively; P <0.001 after Bonferroni correction], while FCHL and control women had similar levels [25.5 (9.5) μg/l versus 25.7 (9.3) μg/l, respectively; P= 0.947].TABLE 1Clinical characteristics of study groupsControl Group (n = 118)All FCHL Patients (n = 273)PbP values corrected for multiple testing by Bonferroni correction.Non-Obese FCHL Patients (n = 208)Obese FCHL Patients (n = 65)PbP values corrected for multiple testing by Bonferroni correction.Women, %3832ns3329NSAge, years48 (14)47 (11)ns48 (11)47 (10)NSBMI, kg/m227.4 (3.6)27.8 (3.4)ns26.3 (2.3)32.4 (2.1)< 0.001Waist circumference, cm93.2 (10.8)96.0 (9.9)0.02493.0 (8.8)105.2 (6.8)< 0.001Glucose, mmol/l5.0 (0.9)5.5 (1.0)< 0.0015.4 (0.8)5.9 (1.4)0.001Insulin, pmol/l aLog-transformed before analysis.57.3 (40.5)74.8 (61.5)0.01470.8 (59.5)87.5 (66.2)0.037HOMA index aLog-transformed before analysis.1.8 (1.6)2.4 (1.9)0.0012.2 (1.9)2.9 (2.0)0.005hsCRP, mg/l aLog-transformed before analysis.—3.4 (4.4)—2.9 (3.5)5.0 (6.4)< 0.001Apolipoprotein B, mg/dl105 (24)153 (32)< 0.001154 (31)152 (33)NSTriglycerides, mmol/l aLog-transformed before analysis.1.32 (0.69)3.27 (3.06)< 0.0013.33 (3.31)3.07 (2.09)NSTotal cholesterol, mmol/l5.40 (1.00)7.42 (1.36)< 0.0017.49 (1.41)7.21 (1.14)NSHDL cholesterol, mmol/l1.46 (0.37)1.13 (0.29)< 0.0011.13 (0.28)1.12 (0.31)NSNon–HDL cholesterol, mmol/l3.95 (1.03)6.30 (1.31)< 0.0016.36 (1.37)6.09 (1.09)NSFABP4, μg/l aLog-transformed before analysis.19.2 (9.2)21.8 (10.1)0.01121.2 (10.5)23.7 (8.6)0.031Values are means (SD) or frequencies.Abbreviations: BMI, body mass index; hsCRP, high-sensitivity C-reactive protein; HDL, high-density lipoprotein; HOMA, homeostasis model assessment; FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; NS, not significant.a Log-transformed before analysis.b P values corrected for multiple testing by Bonferroni correction. Open table in a new tab Values are means (SD) or frequencies. Abbreviations: BMI, body mass index; hsCRP, high-sensitivity C-reactive protein; HDL, high-density lipoprotein; HOMA, homeostasis model assessment; FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; NS, not significant. Even though the control subjects were matched for BMI with the FCHL patients, the waist circumference of the FCHL group was significantly greater than that of the control group (Table 1). This was due to differences in the waist circumference of men [98.1 (8.0) cm in FCHL and 95.0 (10.6) cm in controls; P= 0.028 after Bonferroni correction]. Nevertheless, the differences in FABP4 observed between FCHL men and control men persisted after adjustment for waist circumference (P < 0.001 after Bonferroni correction). Table 1 also shows basic clinical and biochemical characteristics of the FCHL population distributed according to the presence of obesity. FABP4 was higher in the obese group of FCHL patients compared with nonobese FCHL (Table 1). In FCHL patients, FABP4 plasma levels were positively correlated with BMI, waist circumference, insulin levels, and HOMA index (Table 2). No significant correlations existed between FABP4 and serum lipids in the overall FCHL group, but FABP4 levels were significantly correlated with triglyceride levels in the obese FCHL subgroup. The results of multiple linear regression analysis showed that FABP4 accounted for 17% of the variation in triglyceride levels in the obese FCHL subgroup (P =0.008), independently of insulin levels.TABLE 2Correlations of plasma FABP4 levels in patients with FCHLControl Group (n = 118)All FCHL Patients (n = 273)Obese FCHL Patients (n = 65)rrrAge, years0.451cP < 0.001.0.1100.124BMI, kg/m20.489cP < 0.001.0.269cP < 0.001.0.250aP < 0.05.Waist circumference, cm0.252bP < 0.01.0.241cP < 0.001.0.254aP < 0.05.Glucose, mmol/l0.202aP < 0.05.0.0550.142Insulin, pmol/l0.2510.153aP < 0.05.0.130HOMA index0.284bP < 0.01.0.172bP < 0.01.0.193hsCRP, mg/l—0.1920.136aP < 0.05.Apolipoprotein B, mg/dl0.272bP < 0.01.−0.0120.118Triglycerides, mmol/l0.0490.1010.303aP < 0.05.Total cholesterol, mmol/l0.241bP < 0.01.−0.0100.013HDL cholesterol, mmol/l0.106−0.004−0.001Non–HDL cholesterol, mmol/l0.199aP < 0.05.−0.0110.033Abbreviations: BMI, body mass index; hsCRP, high-sensitivity C-reactive protein; HDL, high-density lipoprotein; HOMA, homeostasis model assessment; FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; NS, not significant; r, Spearman correlation coefficient.a P < 0.05.b P < 0.01.c P < 0.001. Open table in a new tab Abbreviations: BMI, body mass index; hsCRP, high-sensitivity C-reactive protein; HDL, high-density lipoprotein; HOMA, homeostasis model assessment; FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; NS, not significant; r, Spearman correlation coefficient. In the obese subgroup, FABP4 correlated to BMI and waist circumference, but not to insulin or the HOMA index (Table 2). Table 3 shows the correlations between FABP4 and the nuclear magnetic resonance (NMR) lipid profile in all FCHL patients for whom NMR data were available and also for obese FCHL patients. No correlations were observed between FABP4 and any of the NMR lipid fractions when considering all the FCHL patients. However, FABP4 levels significantly correlated to large VLDL and chylomicron concentrations and to VLDL size in the obese subgroup (Table 3).TABLE 3FABP4 correlations with the nuclear magnetic resonance lipid profile in a subgroup of FCHL patientsAll FCHL Patients (n = 167)Obese FCHL Patients (n = 35)rPrPVLDL and chylomicron concentrations, nmol/lVLDL and chylomicrons0.012NS−0.182NSLarge VLDL and chylomicrons0.022NS0.3830.023Medium VLDL0.000NS−0.191NSSmall VLDL0.017NS−0.138NSLDL concentrations, nmol/lTotal LDL−0.061NS0.088NSIDL0.003NS0.221NSLarge LDL0.000NS0.007NSSmall LDL−0.043NS0.064NSMedium LDL−0.045NS0.021NSVery small LDL−0.039NS0.074NSHDL concentrations, μmol/lTotal HDL−0.075NS−0.015NSLarge HDL−0.046NS−0.140NSMedium HDL0.017NS−0.039NSSmall HDL−0.078NS0.120NSMean sizes, nmVLDL0.034NS0.5220.001LDL−0.004NS−0.057NSHDL0.004NS−0.279NSAbbreviations: FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; HDL, high-density lipoprotein; IDL, intermediate-density lipoprotein; LDL, low-density lipoprotein; NS, not significant; r, Spearman correlation coefficient; VLDL, very low-density lipoprotein. Open table in a new tab Abbreviations: FABP4, fatty acid-binding protein 4; FHCL, familial combined hyperlipidemia; HDL, high-density lipoprotein; IDL, intermediate-density lipoprotein; LDL, low-density lipoprotein; NS, not significant; r, Spearman correlation coefficient; VLDL, very low-density lipoprotein. Among the 273 subjects included in the study, 121 subjects (44%) fulfilled the ATP-III criteria for metabolic syndrome. FABP4 plasma levels were significantly higher in subjects with than in subjects without metabolic syndrome [23.9 (9.3) μg/l versus 20.4 (10.5) μg/l, respectively; P =0.001 after Bonferroni correction]. By logistic regression analysis, FABP4 tertiles adjusted for gender, age, hsCRP, apoB, LDL cholesterol, and insulin resistance, were independently associated with the presence of metabolic syndrome (P <0.05). Subjects with FABP4 plasma concentrations in the highest tertile (≥ 21.6 μg/l for men and ≥ 28.0 μg/l for women) had a significantly increased likelihood of having the metabolic syndrome compared with those in the lowest tertile (OR 2.91; 95% CI, 1.32 to 6.41; P = 0.007). The main finding of our work is that FABP4 plasma levels are higher in FCHL patients than in controls. FABP4 was associated to obesity, metabolic syndrome, and insulin resistance markers. The FABP4 levels had no clear impact on the lipid profile when the whole FCHL population was considered, but they were associated with hypertriglyceridemia in the presence of obesity. These results have interesting implications for the pathogenic mechanisms of dyslipidemia in FCHL. This primary alteration of lipid metabolism has been linked to other conditions showing a similarly disturbed lipid profile, including obesity, diabetes, and metabolic syndrome (4Ayyobi A.F. Brunzell J.D. Lipoprotein distribution in the metabolic syndrome, type 2 diabetes mellitus, and familial combined hyperlipidemia.Am. J. Cardiol. 2003; 92: 27J-33JAbstract Full Text Full Text PDF PubMed Scopus (77) Google Scholar). In fact, there is a large body of evidence suggesting that alterations in adipose tissue play a crucial role in all of these conditions (23Hajer G.R. van Haeften T.W. Visseren F.L. Adipose tissue dysfunction in obesity, diabetes, and vascular diseases.Eur. Heart J. 2008; 29: 2959-2971Crossref PubMed Scopus (1039) Google Scholar). FABP4 is considered a good plasma marker of adipose tissue dysfunction in these metabolic situations, being associated with central adiposity, metabolic syndrome, and insulin resistance (9Cabré A. Lázaro I. Girona J. Manzanares J. Marimón F. Plana N. Heras M. Masana L. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients.Atherosclerosis. 2007; 195: e150-e158Abstract Full Text Full Text PDF PubMed Scopus (122) Google Scholar, 14Xu A. Wang Y. Xu J.Y. Stejskal D. Tam S. Zhang J. Wat N.M. Wong W.K. Lam K.S. Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome.Clin. Chem. 2006; 52: 405-413Crossref PubMed Scopus (475) Google Scholar, 16Xu A. Tso A.W. Cheung B.M. Wang Y. Wat N.M. Fong C.H. Yeung D.C. Janus E.D. Sham P.C. Lam K.S. Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study.Circulation. 2007; 115: 1537-1543Crossref PubMed Scopus (297) Google Scholar). FABP4 plasma levels are clearly high in obesity, type 2 diabetes ,and metabolic syndrome (9Cabré A. Lázaro I. Girona J. Manzanares J. Marimón F. Plana N. Heras M. Masana L. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients.Atherosclerosis. 2007; 195: e150-e158Abstract Full Text Full Text PDF PubMed Scopus (122) Google Scholar, 14Xu A. Wang Y. Xu J.Y. Stejskal D. Tam S. Zhang J. Wat N.M. Wong W.K. Lam K.S. Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome.Clin. Chem. 2006; 52: 405-413Crossref PubMed Scopus (475) Google Scholar, 16Xu A. Tso A.W. Cheung B.M. Wang Y. Wat N.M. Fong C.H. Yeung D.C. Janus E.D. Sham P.C. Lam K.S. Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study.Circulation. 2007; 115: 1537-1543Crossref PubMed Scopus (297) Google Scholar), and we have previously reported that they are associated with triglyceride-rich lipoprotein components leading to atherogenic dyslipidemia (19Cabré A. Lázaro I. Girona J. Manzanares J.M. Marimón F. Plana N. Heras M. Masana L. Plasma fatty acid binding protein 4 is associated with atherogenic dyslipidemia in diabetes.J. Lipid Res. 2008; 49: 1746-1751Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar). The lack of association between FABP4 and the lipid abnormalities of FCHL suggests that the pathogenic and metabolic bases of atherogenic dyslipidemia seen in these metabolic diseases are different. In FCHL various molecular defects likely contribute to similar clinical phenotypes. The abnormal lipid phenotype of FCHL has been attributed to defects in lipoprotein lipase (24Miesenbock G. Holzl B. Foger B. Brandstatter E. Paulweber B. Sandhofer F. Patsch J.R. Heterozygous lipoprotein lipase deficiency due to a missence mutation as the cause of impaired triglyceride tolerance with multiple lipoprotein abnormalities.J. Clin. Invest. 1993; 91: 448-455Crossref PubMed Scopus (136) Google Scholar), the APOA1-C3-A4-A5 gene cluster (25Eichenbaum-Voline S. Olivier M. Jones E.L. Naoumova R.P. Jones B. Gau B. Patel H.N. Seed M. Betteridge D.J. Galton D.J. et al.Linkage and association between distinct variants of the APOA1/C3/A4/A5 gene cluster and familial combined hyperlipidemia.Arterioscler. Thromb. Vasc. Biol. 2004; 24: 167-174Crossref PubMed Scopus (91) Google Scholar), or USF-1 (26Zeggini E. Damcott C.M. Hanson R.L. Karim M.A. Rayner N.W. Groves C.J. Baier L.J. Hale T.C. Hattersley A.T. Hitman G.A. et al.Variation within the gene encoding the upstream stimulatory factor 1 does not influence susceptibility to type 2 diabetes in samples from populations with replicated evidence of linkage to chromosome 1q.Diabetes. 2006; 55: 2541-2548Crossref PubMed Scopus (34) Google Scholar), among others. FCHL has also been reported to be associated with an increased prevalence of insulin resistance, as measured by the minimal model (27Ascaso J.F. Merchante A. Lorente R.I. Real J.T. Martinez-Valls J. Carmena R. A study of insulin resistance, using the minimal model, in non-diabetic familial combined hyperlipidemic patients.Metabolism. 1998; 47: 508-513Abstract Full Text PDF PubMed Scopus (46) Google Scholar). In our study, the presence of insulin resistance did not influence the impact of FABP4 on the hyperlipidemia of FCHL. The clinical characteristic that most influenced the associations of FABP4 with FHCL was obesity. Obese FCHL patients had higher FABP4 levels, which contributed to higher triglycerides and to larger circulating VLDL, leading to a more abnormal lipid profile. In fact, obese FCHL patients have a dual mechanism accounting for hyperlipidemia, including the still unknown genetic defect plus the acquired effects of adiposity. Interestingly, the association between FABP4 and triglycerides in the obese FCHL subgroup was independent of insulin resistance markers. Similar results have been reported in obesity, diabetes, and the metabolic syndrome (9Cabré A. Lázaro I. Girona J. Manzanares J. Marimón F. Plana N. Heras M. Masana L. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients.Atherosclerosis. 2007; 195: e150-e158Abstract Full Text Full Text PDF PubMed Scopus (122) Google Scholar, 19Cabré A. Lázaro I. Girona J. Manzanares J.M. Marimón F. Plana N. Heras M. Masana L. Plasma fatty acid binding protein 4 is associated with atherogenic dyslipidemia in diabetes.J. Lipid Res. 2008; 49: 1746-1751Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar), suggesting that FABP4 levels are markers of an adipocytic derangement paralleled by, but not dependent on, insulin resistance. That FABP4 levels are associated with large VLDL in obese FCHL patients is also interesting. Lipoprotein kinetic studies have shown that VLDL is secreted in two differentiated pools, large and small VLDL, according to the amount of fat it carries. In type 2 diabetic patients, greater visceral adipose tissue is associated with larger VLDL particles and higher VLDL particle numbers independently of BMI (28Sam S. Haffner S. Davidson M.H. D'Agostino R.B. Feinstein S. Kondos G. Perez A. Mazzone T. Relationship of abdominal visceral and subcutaneous adipose tissue with lipoprotein particle number and size in type 2 diabetes.Diabetes. 2008; 57: 2022-2027Crossref PubMed Scopus (99) Google Scholar), and this lipoprotein pattern has been associated with an increased risk for atherosclerosis and cardiovascular disease (29Carmena R. Duriez P. Fruchart J.C. Atherogenic lipoprotein particles in atherosclerosis.Circulation. 2004; 109 (suppl III): III-2-III-7Crossref Google Scholar). In this respect, the presence of obesity in FCHL patients could play a detrimental role for their lipid profile. Multifactorial analysis showed that 17% of the variation in triglyceride levels in the obese group could be attributed to FABP4. Another consideration derived from our results is the definition of metabolic syndrome in these patients. By definition, many FCHL patients fulfill the lipid criteria; therefore, the additional presence of hypertension, high blood glucose levels, or obesity permits the clinical diagnosis of metabolic syndrome. However, the pathogenesis behind this cluster of risk factors is quite different in FCHL than in, for example, obese patients. Considering that FCHL is a cardiovascular risk factor per se and that its metabolic basis is different from that of other conditions associated with metabolic syndrome, the diagnosis of metabolic syndrome in the presence of this genetic lipid alteration should be restricted. Our data suggest that elevated FABP4 plasma levels could aid in the identification of the metabolic abnormalities associated with FCHL that lead to metabolic syndrome. FABP4 was associated with hypertriglyceridemia only in the presence of obesity, defined both by BMI and waist circumference, and independently of insulin resistance markers. However, because of the small number of obese patients in this group, these results need to be verified in larger cohorts. We have previously described a similar finding in diabetic patients (19Cabré A. Lázaro I. Girona J. Manzanares J.M. Marimón F. Plana N. Heras M. Masana L. Plasma fatty acid binding protein 4 is associated with atherogenic dyslipidemia in diabetes.J. Lipid Res. 2008; 49: 1746-1751Abstract Full Text Full Text PDF PubMed Scopus (71) Google Scholar), suggesting that FABP4 elevation is a metabolic defect parallel to, but not dependent on, insulin resistance. The dyslipidemia seen in FCHL, although sharing many characteristics with obesity, diabetes, and the metabolic syndrome, is not associated with the adipose tissue alterations of which plasma levels of FABP4 are a marker. Although these data need to be replicated in larger populations, our data suggest that the presence of obesity in FCHL patients results in additional metabolic derangements leading to a greater triglyceride increase and larger VLDL signaled by increased plasma FABP4 levels.