Fasting plasma free fatty acid concentrations and Pro12Ala polymorphism of the peroxisome proliferator-activated receptor (PPAR) gamma2 gene in healthy individuals

G Allele of the rs1801282 Polymorphism in PPARγ Gene Confers an Increased Risk of Obesity and Hypercholesterolemia, While T Allele of the rs3856806 Polymorphism Displays a Protective Role Against Dyslipidemia: A Systematic Review and Meta-Analysis

BACKGROUND

The relationships between the rs1801282 and rs3856806 polymorphisms in nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) gene and obesity indexes as well as serum lipid levels have been extensively investigated in various studies, but the results were inconsistent and even contradictory.

METHODS

PubMed, Google Scholar, Embase, Cochrane Library, Web of Science, Wanfang, CNKI and VIP databases were searched for eligible studies. The random-effTPDEects model was used, and standardized mean difference (SMD) with 95% confidence interval (CI) was calculated to estimate the differences in obesity indexes and serum lipid levels between the subjects with different genotypes in a dominant model. Heterogeneity among studies was assessed by Cochran's x²-based Q-statistic test. Publication bias was identified by using Begg's test.

RESULTS

One hundred and twenty studies (70,317 subjects) and 33 studies (18,353 subjects) were identified in the analyses for the rs1801282 and rs3856806 polymorphisms, respectively. The G allele carriers of the rs1801282 polymorphism had higher levels of body mass index (SMD = 0.08 kg/m², 95% CI = 0.04 to 0.12 kg/m², p < 0.001), waist circumference (SMD = 0.12 cm, 95% CI = 0.06 to 0.18 cm, p < 0.001) and total cholesterol (SMD = 0.07 mmol/L, 95% CI = 0.02 to 0.11 mmol/L, p < 0.01) than the CC homozygotes. The T allele carriers of the rs3856806 polymorphism had lower levels of low-density lipoprotein cholesterol (SMD = -0.09 mmol/L, 95% CI = -0.15 to -0.03 mmol/L, p < 0.01) and higher levels of high-density lipoprotein cholesterol (SMD = 0.06 mmol/L, 95% CI = 0.02 to 0.10 mmol/L, p < 0.01) than the CC homozygotes.

CONCLUSIONS

The meta-analysis suggests that the G allele of the rs1801282 polymorphism confers an increased risk of obesity and hypercholesterolemia, while the T allele of the rs3856806 polymorphism displays a protective role against dyslipidemia, which can partly explain the associations between these polymorphisms and cardiovascular disease.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/prospero/, identifier [CRD42022319347].

The combination of UCP3-55CT and PPARγ2Pro12Ala polymorphisms affects BMI and substrate oxidation in two diabetic populations

BACKGROUND AND AIM

To evaluate the combined contribution of UCP3-55CT and PPARγ2 Pro12Ala polymorphisms as correlates of BMI, energy expenditure (REE) and substrate oxidation in people with type 2 diabetes.

METHODS AND RESULTS

Two independent population with type 2 diabetes were studied: population A, n = 272; population B, n = 269. Based on both UCP3 and PPARγ2 genotypes three groups were created. Carriers of the PPARγ2 Pro12Ala in combination with the CC genotype of UCP3 (ProAla/CC, group 1); carriers of only one of these genotypes (either CC/ProPro or CT-TT/ProAla, group 2); people with neither variants (CT-TT/ProPro, group 3). In both populations BMI (kg/m(2)) was highest in group 1, intermediate in group 2 and lowest in group 3, independent of energy intake (i.e 35.3 ± 6.7 vs 33.4 ± 5.4 vs 31.8 ± 3, p < 0.02, population A; 32.4 ± 4.2 vs 31.7 ± 3.8 vs 30.1 ± 2.7; p < 0.03, population B). People with the ProAla/CC genotype (group 1) showed similar REE, but lower lipid oxidation (10.9 vs 13.9 g/kg fat free mass/day; p = 0.04) and higher carbohydrate oxidation (23.6 vs 15.6 g/kg fat free mass/day; p = 0.02) than carriers of other genotypes.

CONCLUSIONS

The combination of UCP3-55 CC and PPARγ2 Pro12Ala genotypes is associated with significantly higher BMI than other PPARγ2-UCP3 genotype combinations, partly due to a reduced ability in lipids oxidation. The relative importance of these mechanism(s) may be different in non diabetic people.

Obesity and Pro12Ala Polymorphism of Peroxisome Proliferator-Activated Receptor-Gamma Gene in Healthy Adults: A Systematic Review and Meta-Analysis

BACKGROUND

The aim of this systematic review was to evaluate the relationship between obesity and peroxisome proliferator-activated receptor-gamma (PPARx03B3;) Pro12Ala polymorphism in healthy adults.

SUMMARY

Weighted mean differences (WMDs) of body mass index (BMI) were calculated for different inheritance models and subgroups. Fifty-six studies were eligible for inclusion in the meta-analysis. The result shows that the Ala allele of this polymorphism was associated with increased WMD in mean BMI (WMD = 0.29, 95% CI 0.10-0.48, p = 0.003). The Ala carriers were associated with increased WMD in mean BMI values in both genders and in the Caucasian subgroup. The associations were seen among people with higher levels of BMI (BMI ≥35).

MESSAGE

The Ala allele of the PPARx03B3; Pro12Ala polymorphism in healthy adults was associated with increased BMI under a dominant model of inheritance.

Association of the variants in the PPARG gene and serum lipid levels: a meta-analysis of 74 studies

Considerable studies have been carried out to investigate the relationship between the polymorphisms of PPARG (Pro12Ala, C161T and C1431T) and serum lipid levels, but the results were inconclusive. Hence, we conducted a meta-analysis to clarify the association. MEDLINE, EMBASE and the Cochrane Library databases were searched systematically. The subgroup analysis was performed based on ethnicity. Seventy-four studies with 54,953 subjects were included in this meta-analysis. In Pro12Ala, the group with the ‘PP’ (C/C genotype) genotype group had lower levels of total cholesterol (TC) (mean difference, MD: −0.02, P < 0.00001; I² = 28%), low-density lipoprotein cholesterol (LDL-C) (MD: −0.02, P < 0.00001; I² = 30%) and higher levels of triglyceride (TG) (MD: 0.06, P < 0.00001; I² = 30%) than the combined ‘PA+AA’ (PA = C/G genotype, AA = G/G genotype) genotype group in Asian population, and the group with the ‘PP’ genotype had higher levels of TG (MD: 0.07, P < 0.02; I² = 67%) than the combined ‘PA+AA’ genotype group in non-Asian population. No statistically significant differences in the levels of TC, TG, high-density lipoprotein cholesterol, LDL-C were detected between different genotypes in C161T(Asian or non-Asian) and C1431T(Asian) polymorphisms. This meta-analysis was a renewed and confirmed study to assess the association between PPARG polymorphisms and serum lipid levels in Asian and non-Asian populations. There is a prominent association between Pro12Ala polymorphism and the levels of TC, LDL-C and TG in Asian population. No statistically significant differences in serum lipid levels were detected between different genotypes in C161T and C1431T polymorphisms.

PPARG2 Pro12Ala and ADAMTS9 rs4607103 as "insulin resistance loci" and "insulin secretion loci" in Italian individuals. The GENFIEV study and the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 4

We investigated cross-sectionally whether the type 2 diabetes (T2DM) risk alleles of rs1801282 (PPARG2) and rs4607103 (ADAMTS9) were associated with T2DM and/or insulin sensitivity (IS) and beta cell function (βF) in Italians without and with newly diagnosed T2DM. In 676 nondiabetic subjects (336 NGR and 340 IGR) from the GENFIEV study and in 597 patients from the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS), we (1) genotyped rs1801282 and rs4607103, (2) assessed βF by C-peptide/glucose modeling after OGTT, and (3) assessed IS by HOMA-IR in both studies and by euglycemic insulin clamp in VNDS only. Logistic, linear, and two-stage least squares regression analyses were used to test (a) genetic associations with T2DM and with pathophysiological phenotypes, (b) causal relationships of the latter ones with T2DM by a Mendelian randomization design. Both SNPs were associated with T2DM. The rs4607103 risk allele was associated to impaired βF (p < 0.01) in the GENFIEV study and in both cohorts combined. The rs1801282 genotype was associated with IS both in the GENFIEV study (p < 0.03) and in the VNDS (p < 0.03), whereas rs4607103 did so in the VNDS only (p = 0.01). In a Mendelian randomization design, both HOMA-IR (instrumental variables: rs1801282, rs4607103) and βF (instrumental variable: rs4607103) were related to T2DM (p < 0.03-0.01 and p < 0.03, respectively). PPARG2 and ADAMTS9 variants are both associated with T2DM and with insulin resistance, whereas only ADAMTS9 may be related to βF. Thus, at least in Italians, they may be considered bona fide "insulin resistance genes".

Fat-induced membrane cholesterol accrual provokes cortical filamentous actin destabilisation and glucose transport dysfunction in skeletal muscle

AIMS/HYPOTHESIS

Diminished cortical filamentous actin (F-actin) has been implicated in skeletal muscle insulin resistance, yet the mechanism(s) is unknown. Here we tested the hypothesis that changes in membrane cholesterol could be a causative factor, as organised F-actin structure emanates from cholesterol-enriched raft microdomains at the plasma membrane.

METHODS

Skeletal muscle samples from high-fat-fed animals and insulin-sensitive and insulin-resistant human participants were evaluated. The study also used L6 myotubes to directly determine the impact of fatty acids (FAs) on membrane/cytoskeletal variables and insulin action.

RESULTS

High-fat-fed insulin-resistant animals displayed elevated levels of membrane cholesterol and reduced F-actin structure compared with normal chow-fed animals. Moreover, human muscle biopsies revealed an inverse correlation between membrane cholesterol and whole-body glucose disposal. Palmitate-induced insulin-resistant myotubes displayed membrane cholesterol accrual and F-actin loss. Cholesterol lowering protected against the palmitate-induced defects, whereas characteristically measured defects in insulin signalling were not corrected. Conversely, cholesterol loading of L6 myotube membranes provoked a palmitate-like cytoskeletal/GLUT4 derangement. Mechanistically, we observed a palmitate-induced increase in O-linked glycosylation, an end-product of the hexosamine biosynthesis pathway (HBP). Consistent with HBP activity affecting the transcription of various genes, we observed an increase in Hmgcr, a gene that encodes 3-hydroxy-3-methyl-glutaryl coenzyme A reductase, the rate-limiting enzyme in cholesterol synthesis. In line with increased HBP activity transcriptionally provoking a membrane cholesterol-based insulin-resistant state, HBP inhibition attenuated Hmgcr expression and prevented membrane cholesterol accrual, F-actin loss and GLUT4/glucose transport dysfunction.

CONCLUSIONS/INTERPRETATION

Our results suggest a novel cholesterolgenic-based mechanism of FA-induced membrane/cytoskeletal disorder and insulin resistance.

'Striking the Right Balance' in Targeting PPARgamma in the Metabolic Syndrome: Novel Insights from Human Genetic Studies

At a time when the twin epidemics of obesity and type 2 diabetes threaten to engulf even the most well-resourced Western healthcare systems, the nuclear receptor peroxisome proliferator-activated receptor γ (PPARγ) has emerged as a bona fide therapeutic target for treating human metabolic disease. The novel insulin-sensitizing antidiabetic thiazolidinediones (TZDs, e.g., rosiglitazone, pioglitazone), which are licensed for use in the treatment of type 2 diabetes, are high-affinity PPARγ ligands, whose beneficial effects extend beyond improvement in glycaemic control to include amelioration of dyslipidaemia, lowering of blood pressure, and favourable modulation of macrophage lipid handling and inflammatory responses. However, a major drawback to the clinical use of exisiting TZDs is weight gain, reflecting both enhanced adipogenesis and fluid retention, neither of which is desirable in a population that is already overweight and prone to cardiovascular disease. Accordingly, the “search is on” to identify the next generation of PPARγ modulators that will promote maximal clinical benefit by targeting specific facets of the metabolic syndrome (glucose intolerance/diabetes, dyslipidaemia, and hypertension), while simultaneously avoiding undesirable side effects of PPARγ activation (e.g., weight gain). This paper outlines the important clinical and laboratory observations made in human subjects harboring genetic variations in PPARγ that support such a therapeutic strategy.

Personalized nutrition for the prevention of cardiovascular disease: a future perspective

Cardiovascular disease (CVD) is responsible for significant morbidity and mortality in the Western and developing world. This multi-factorial disease is influenced by many environmental and genetic factors. At present, public health advice involves prescribed population-based recommendations, which have been largely unsuccessful in reducing CVD risk. This is, in part, due to individual variability in response to dietary manipulations, that arises from nutrient-gene interactions (defined by the term 'nutrigenetics'). The shift towards personalized nutritional advice is a very attractive proposition, where, in principle, an individual can be given dietary advice specifically tailored to their genotype. However, the evidence-base for the impact of interactions between nutrients and fixed genetic variants on biomarkers of CVD risk is still very limited. This paper reviews the evidence for interactions between dietary fat and two common polymorphisms in the apolipoprotein E and peroxisome proliferator-activated receptor-gamma genes. Although an increased understanding of how these and other genes influence response to nutrients should facilitate the progression of personalized nutrition, the ethical issues surrounding its routine use need careful consideration.

PPARgamma mRNA expression is reduced in peripheral blood mononuclear cells after fat overload in patients with metabolic syndrome

PPARgamma is a transcriptional regulator of metabolism; its activity can be modulated by direct binding of dietary lipids. The most prevalent human PPARgamma gene variant, Ala12, is associated with postprandial hypertriglyceridemia in patients with metabolic syndrome, although the mechanism whereby this polymorphism affects lipid homeostasis remains to be fully determined. Using peripheral blood mononuclear cells (PBMC), we studied the effect of the Pro12 and Ala12 polymorphisms on mRNA expression of PPARgamma and nuclear factor kappa B genes before and 3 and 4 h after fat overload. We also studied several biochemical and oxidative stress variables. Most of the indicators of oxidative stress were higher in patients with metabolic syndrome than in healthy subjects before and after fat overload. Patients also differed depending on whether they had the Pro12 or Ala12 variant in PBMC; PPARgamma expression was lower in healthy subjects compared with patients. After fat overload, circulating triglycerides and PPARgamma expression were positively correlated (r = 0.617, P < 0.05), and PPARgamma expression tended to be negatively correlated with 2 important markers of oxidative stress: plasma lipid peroxidation (r = -0.224, P < 0.1) and carbonylated proteins (CPro) (r = -0.340, P < 0.1) concentrations. We also found differences in several indicators of oxidative stress between Pro12 and Ala12 patients, including an increase in plasma CPro before and after fat overload in Ala12 but not Pro12 patients. These data provide evidence that the Ala12 sequence variant is associated with a worse metabolic profile than Pro12. This is related to differences in the expression of PPARgamma and to oxidative imbalance after fat overload.

Nutrigenetics and CVD: what does the future hold?

CVD is a common killer in both the Western world and the developing world. It is a multifactorial disease that is influenced by many environmental and genetic factors. Although public health advice to date has been principally in the form of prescribed population-based recommendations, this approach has been surprisingly unsuccessful in reducing CVD risk. This outcome may be explained, in part, by the extreme variability in response to dietary manipulations between individuals and interactions between diet and an individual's genetic background, which are defined by the term ‘nutrigenetics’. The shift towards personalised nutritional advice is a very attractive proposition. In principle an individual could be genotyped and given dietary advice specifically tailored to their genetic make-up. Evidence-based research into interactions between fixed genetic variants, nutrient intake and biomarkers of CVD risk is increasing, but still limited. The present paper will review the evidence for interactions between dietary fat and three common polymorphisms in theapoE,apoAIandPPARγgenes. Increased knowledge of how these and other genes influence dietary response should increase the understanding of personalised nutrition. While targeted dietary advice may have considerable potential for reducing CVD risk, the ethical issues associated with its routine use need careful consideration.

Pro12Ala polymorphism of the PPARgamma2 locus modulates the relationship between energy intake and body weight in type 2 diabetic patients

OBJECTIVE

We explore the relationship among BMI, habitual diet, and the Pro12Ala polymorphism in the peroxisome proliferator-activated receptor (PPAR)gamma2.

RESEARCH DESIGN AND METHODS

The Pro12Ala variant was characterized in 343 unrelated type 2 diabetic patients who were consecutively seen at the outpatient clinic of a health district of the province of Naples. Anthropometric and laboratory parameters were measured; habitual diet was assessed by a validated semiquantitative food frequency questionnaire.

RESULTS

The overall frequency of Ala12 was 12% (n = 42). BMI was significantly higher in Ala carriers than non-Ala carriers, whereas total daily energy intake or macronutrient composition of the diet were similar in the two groups. For further analysis, participants were stratified according to genotype and sex-specific quartiles of energy intake. BMI increased in both genotype groups with increasing energy intake (P < 0.03). BMI was similar in Ala carriers and non-Ala carriers (30.0 vs. 30.1 kg/m2, P > 0.10) in the lower quartile of energy intake but significantly higher in Ala carriers in the upper quartile (36.0 vs. 32.1 kg/m2, P < 0.001). Average daily energy intake and diet composition were comparable within each quartile for carriers or noncarriers of the Ala allele. Relative to the noncarriers, Ala carriers had a significantly lower energy intake per kilogram body weight, thus suggesting that the Ala allele is associated with a higher food efficiency. The confounding role of medications, glucose control, and physical exercise was ruled out.

CONCLUSIONS

This study provides evidence of a differential susceptibility to fat accumulation, and, hence, weight gain, in response to habitual high energy intake for Ala carriers compared with Pro/Pro homozygotes.

The minor allele of the PPARγ2 Pro12Ala polymorphism is associated with lower postprandial TAG and insulin levels in non-obese healthy men

The PPARγ Pro12Ala polymorphism has been associated in several studies with a decreased risk of obesity, type 2 diabetes and insulin resistance. Weak hints are available about the influence of PPARγ Pro12Ala on postprandial metabolism. In 708 men, aged 45 to 65 years the PPARγ2 Pro12Ala genotypes were determined and postprandial TAG, insulin, glucose and NEFA after a standardized mixed fat meal and insulin and glucose after a glucose load (oral glucose tolerance test; OGTT) were assessed. Using the total sample, we did not find a significant impact of the genotype on the postprandial metabolism. In the subgroup with BMI < 30 kg/m2, fasting and postprandial TAG and insulin levels as well as homeostasis model assessment of insulin resistance (HOMA) were significantly lower in the Ala12Ala group than in the Pro12Pro group after the mixed meal. In contrast, the groups did not differ in insulin levels and HOMA after the OGTT. To investigate if differences between a fat-containing meal and OGTT are caused by adiponectin, we examined a BMI- and age-matched subgroup. No differences were found between the genotypic groups. The effects of the PPARγ2 polymorphism on insulin sensitivity are mediated by affluent dietary fat. We did not find evidence that adiponectin as a fatty-acid-dependent adipocyte factor is a causative factor for this phenomenon.

Pro12Ala Sequence Variant of the PPARG Gene Is Associated with Postprandial Hypertriglyceridemia in Non-E3/E3 Patients with the Metabolic Syndrome

Background: Postprandial hypertriglyceridemia, a component of the metabolic syndrome, has varied etiology and involves many genes related to triglyceride metabolism. Variations in these genes may affect postprandial hypertriglyceridemia in the context of the metabolic syndrome.

Methods: We orally administered 60 g of fat overload to 74 patients with the metabolic syndrome. We then measured baseline concentrations of cholesterol, triglycerides, HDL cholesterol, apolipoprotein AI, apolipoprotein B, uric acid, and uric acid excretion; we also performed homeostasis model assessments of insulin resistance and insulin sensitivity. At 3 h, we measured triglycerides, cholesterol, apolipoprotein AI, and apolipoprotein B. Patients were considered to have postprandial hypertriglyceridemia if the difference in plasma triglycerides between baseline and 3 h after the test was 1.71 mmol/L or more. We also measured anthropometrical variables and classified the patients according to their peroxisome proliferative activated receptor, gamma (PPARG) gene and apolipoprotein E (APOE) genotype.

Results: Postprandial hypertriglyceridemia occurred in 64.7% of patients with the Ala12 allele vs 19.9% of the Pro12Pro patients, (P = 0.00032; odds ratio, 7.6), and in 87.5% of the patients with both the Ala12 allele and the non-E3/E3 APOE genotype (odds ratio, 23.8). Logistic regression analysis showed that PPARG and APOE sequence variants were associated with the presence of postprandial hypertriglyceridemia.

Conclusion: The Pro12Ala PPARG sequence variant together with a non-E3/E3 APOE genotype is associated with a high risk for postprandial hypertriglyceridemia in patients with the metabolic syndrome, indicating a close association between these genes and the regulation of lipoproteinase clearance.

PPAR-gamma2 Pro12Ala polymorphism is associated with weight gain in women with gestational diabetes mellitus

OBJECTIVE

The polymorphisms of peroxisome proliferator-activator receptor-gamma2 (PPAR-gamma2) have been suggested to affect glucose metabolism and weight gain. Both conditions show great variations during pregnancy that makes pregnancy a suitable condition to detect any metabolic abnormalities related to PPAR-gamma2 polymorphisms. The objective of this study is to investigate the prevalence and metabolic impacts of PPAR-gamma2 polymorphism in control pregnant women and in patients with gestational diabetes mellitus (GDM).

METHODS

In this case-control study, anthropometric and metabolic variables of 100 non-diabetic pregnant women and of 62 women who were diagnosed as having GDM according to 100 g oral glucose tolerance test (OGTT) were compared on the basis of PPAR-gamma2 polymorphism by univariate analysis of covariance.

RESULTS

There were no statistically significant differences in baseline characteristics and the mean 50 g glucose challenge test values of pregnant women in both groups on the basis of PPAR-gamma2 genotype, although patients with Pro12Ala polymorphism were significantly taller in GDM group. The Pro12Ala polymorphism had no effect on 100 g OGTT results of patients with GDM. However, patients with GDM who had Pro12Ala polymorphism gained significantly more weight during their pregnancy.

CONCLUSION

The PPAR-gamma2 Pro12Ala polymorphism was observed to have no effect on glucose metabolism in normal pregnant women and women with GDM. However, only the patients with GDM who had this polymorphism gained significantly more weight during their pregnancy. It seems that Pro12Ala polymorphism plays a dynamic and interactive role in the regulation of BMI and glucose homeostasis.

Peroxisome proliferator-activated receptor gamma and the regulation of adipocyte function: lessons from human genetic studies

In recent years, the thiazolidinediones (e.g. rosiglitazone, pioglitazone) have emerged as an exciting novel class of therapeutic agent for the treatment of type 2 diabetes mellitus and the human metabolic syndrome. At first glance, the use of these high-affinity peroxisome proliferator-activated receptor gamma (PPARgamma) agonists, that promote adipogenesis, to treat a group of disorders that typically have their origins in obesity seems counter-intuitive. However, to view PPARgamma simply as a regulator of fat mass, and adipocytes themselves as passive vessels for energy storage, is to ignore an extensive body of data that speaks of the diverse roles of both this receptor and adipose tissue in the maintenance of normal metabolic homeostasis. This article highlights the important clinical and laboratory observations made in human subjects harbouring genetic variations in PPARgamma that have confirmed its pivotal role in the regulation of adipocyte endocrine function, and thus our metabolic response to the environment.

Peroxisome proliferator-activated receptor-gamma calls for activation in moderation: lessons from genetics and pharmacology

The peroxisome proliferator-activated receptor gamma (PPARgamma) is a prototypical member of the nuclear receptor superfamily and integrates the control of energy, lipid, and glucose homeostasis. PPARgamma can bind a variety of small lipophilic compounds derived from metabolism and nutrition. These ligands, in turn, determine cofactor recruitment to PPARgamma, regulating the transcription of genes in a variety of metabolic pathways. PPARgamma is the main target of the thiazolidinedione class of insulin-sensitizing drugs, which are currently a mainstay of therapy for type 2 diabetes. However, this therapy has a number of side effects. Here, we review the clinical consequences of PPARgamma polymorphisms in humans, as well as several studies in mice using general or tissue-specific knockout techniques. We also discuss the recent pharmacological literature describing a variety of new PPARgamma partial agonists and antagonists, as well as pan-PPAR agonists. The results of these studies have added to the understanding of PPARgamma function, allowing us to hypothesize a general mechanism of PPARgamma action and speculate on future trends in the use of PPARgamma as a target in the treatment of type II diabetes.

Impact of genetic variation of PPARgamma in humans

Peroxisome proliferator-activated receptor gamma (PPARgamma) is a transcription factor with a key role in adipocyte differentiation. Since 1997, studies of rare mutations and common polymorphisms of the PPARgamma gene have enabled us to expand our knowledge of the role of this transcription factor in humans. Rare monogenic mutations in PPARgamma have a limited impact on the health of the population due to their low frequency but are associated with severe phenotypes such as severe insulin resistance, partial lipodystrophy, type 2 diabetes and hypertension. Conversely, common polymorphisms of PPARgamma with a relatively high frequency can have a significant impact on the general population. Although they may modulate the risk of developing type 2 diabetes, obesity and cardiovascular diseases, the data remains controversial. This review details and discusses results obtained for PPARgamma variants, whose effects sometimes appear discordant.

Differential effects of the C1431T and Pro12Ala PPARgamma gene variants on plasma lipids and diabetes risk in an Asian population

We investigated the association of C1431T and Pro12Ala polymorphisms at the peroxisome proliferator-activated receptor gamma (PPARgamma) locus with plasma lipids and insulin resistance-related variables, according to diabetes status, in a large and representative Asian population from Singapore consisting of 2,730 Chinese, 740 Malays, and 568 Indians. Moreover, we estimated the diabetes risk and examined gene-nutrient interactions between these variants and the ratio of polyunsaturated fatty acid to saturated fat (SFA) in determining body mass index (BMI) and fasting insulin. We found differential effects of these gene variants. The Pro12Ala polymorphism was more associated with plasma lipids and fasting glucose concentrations, whereas the C1431T polymorphism was related to the risk of diabetes. Carriers of the 12Ala allele had higher HDL-cholesterol than did Pro12Pro homozygotes (P < 0.05), and the effect of the 12Ala allele on fasting glucose was modified by diabetes status (P < 0.001). After controlling for confounders, carriers of the T allele had decreased risk of diabetes compared with CC homozygotes [odds ratio (OR) 0.73, 95% confidence interval (CI) 0.58-0.93; P = 0.011]; this effect was stronger in Indians (OR 0.38, 95% CI 0.15-0.92; P = 0.032). For both polymorphisms, normal subjects carrying the less prevalent allele had higher BMI (P < 0.05). The PUFA/SFA did not modify the effect of these polymorphisms on BMI or insulin.

Estudios sobre la obesidad en genes candidatos

There are more than 430 chromosomic regions with gene variants involved in body weight regulation and obesity development. Polymorphisms in genes related to energy expenditure--uncoupling proteins (UCPs), related to adipogenesis and insulin resistance--hormone-sensitive lipase (HLS), peroxisome proliferator-activated receptor gamma (PPAR gamma), beta adrenergic receptors (ADRB2,3), and alfa tumor necrosis factor (TNF-alpha), and related to food intake--ghrelin (GHRL)--appear to be associated with obesity phenotypes. Obesity risk depends on two factors: a) genetic variants in candidate genes, and b) biographical exposure to environmental risk factors. It is necessary to perform new studies, with appropriate control groups and designs, in order to reach relevant conclusions with regard to gene/environmental (diet, lifestyle) interactions.

Variants of uncoupling protein-2 gene and obesity: interaction with peroxisome proliferator-activated receptorgamma2

OBJECTIVE

To analyse the association of the UCP2 gene, alone or in combination with the PPARgamma2 gene, with obesity.

DESIGN

Cross-sectional, case-control study.

STUDY POPULATION

From a working population of 4500 Italian Caucasian employees of the Italian telephone company participating in a firm-sponsored health screening programme, we selected all those with obesity [n = 122; body mass index (BMI) > or = 30 kg/m2]. For each case, three nonobese age- and sex-matched individuals were selected as controls from the same population (n = 374). Included in the study were also 76 severely obese (BMI > or = 40 kg/m2) patients consecutively admitted to the obesity clinic of the department. Diabetic individuals were excluded.

MEASUREMENTS

The -866G/A UCP2 and the Pro12Ala PPARgamma2 polymorphisms were determined on genomic DNA of the studied individuals. Several metabolic and anthropometric measures were also obtained, like plasma glucose, insulin, triglycerides, total cholesterol, high-density lipoprotein (HDL) cholesterol and BMI.

RESULTS

BMI, plasma glucose, insulin, triglycerides, total and HDL cholesterol were not significantly different in carriers and noncarriers of the -866G/A variant. No significant association was observed between the -866G/A UCP2 gene polymorphism and moderate or severe obesity. This was also observed when the UCP2 polymorphism was analysed in combination with the PPARgamma2 polymorphisms.

CONCLUSIONS

The -866G/A variants of the UCP2 gene are not associated with either obesity or other features of the metabolic syndrome in the studied groups of the Italian population. This negative finding is not modified after a combined analysis of the UCP2 polymorphism and the Pro12Ala polymorphism of PPARgamma2.

The effects of the Pro12Ala polymorphism of the PPARgamma-2 gene on lipid metabolism interact with body size at birth

Body size at birth is an indicator of the intrauterine environment. The effects of the Pro12Pro genotype and the 12Ala allele of the PPARgamma-2 gene on glucose and insulin metabolism in adult life depend on body size at birth. A low birth weight is associated with insulin resistance and type 2 diabetes. The peroxisome proliferator-activated receptor-gamma (PPARgammas) are also regulators of adipocyte differentiation, and the PPARgamma-2 gene could also contribute to the development of dyslipidemia. Therefore, the effects of the Pro12Ala polymorphisms of the PPARgamma-2 gene on lipid metabolism were measured in 476 elderly persons whose birth weight was known. The Ala12 allele was associated with increased serum total, low-density lipoprotein (LDL), and non-high-density lipoprotein (non-HDL) cholesterol concentrations but only among those who had birth weights below 3000 g. These interactions between the effects of the PPARgamma-2 gene on adult traits and the effects of birth weight may be interpreted as examples of gene-environmental interactions, which underlie plasticity during development.