Discovery of novel selective phosphodiesterase­1 inhibitors for the treatment of acute myelogenous leukemia.

Acute myelogenous leukemia (AML) is the most common form of acute leukemia in adults. PDE1 (Phosphodiesterase 1) is a subfamily of the PDE super-enzyme families that can hydrolyze the second messengers cAMP and cGMP simultaneously. Previous research has shown that suppressing the gene expression of PDE1 can trigger apoptosis of human leukemia cells. However, no selective PDE1 inhibitors have been used to explore whether PDE1 is a potential target for treating AML. Based on our previously reported PDE9/PDE1 dual inhibitor 11a, a series of novel pyrazolopyrimidinone derivatives were designed in this study. The lead compound 6c showed an IC50 of 7.5 nM against PDE1, excellent selectivity over other PDEs and good metabolic stability. In AML cells, compound 6c significantly inhibited the proliferation and induced apoptosis. Further experiments indicated that the apoptosis induced by 6c was through a mitochondria-dependent pathway by decreasing the ratio of Bcl-2/Bax and increasing the cleavage of caspase-3, 7, 9, and PARP. All these results suggested that PDE1 might be a novel target for AML.

E. coli diversity: low in colorectal cancer.

BACKGROUND: Escherichia coli are mostly commensals but also contain pathogenic lineages. It is largely unclear whether the commensal E. coli as the potential origins of pathogenic lineages may consist of monophyletic or polyphyletic populations, elucidation of which is expected to lead to novel insights into the associations of E. coli diversity with human health and diseases. METHODS: Using genomic sequencing and pulsed field gel electrophoresis (PFGE) techniques, we analyzed E. coli from the intestinal microbiota of three groups of healthy individuals, including preschool children, university students, and seniors of a longevity village, as well as colorectal cancer (CRC) patients, to probe the commensal E. coli populations for their diversity. RESULTS: We delineated the 2280 fresh E. coli isolates from 185 subjects into distinct genome types (genotypes) by PFGE. The genomic diversity of the sampled E. coli populations was so high that a given subject may have multiple genotypes of E. coli, with the general diversity within a host going up from preschool children through university students to seniors. Compared to the healthy subjects, the CRC patients had the lowest diversity level among their E. coli isolates. Notably, E. coli isolates from CRC patients could suppress the growth of E. coli bacteria isolated from healthy controls under nutrient-limited culture conditions. CONCLUSIONS: The coexistence of multiple E. coli lineages in a host may help create and maintain a microbial environment that is beneficial to the host. As such, the low diversity of E. coli bacteria may be associated with unhealthy microenvironment in the intestine and hence facilitate the pathogenesis of diseases such as CRC.

Interaction of tobacco smoking and alcohol consumption with obesity on cardiovascular disease in a Chinese cohort.

OBJECTIVE: We aimed to detect the synergistic effect between alcohol drinking, smoking and obesity on incident cardiovascular disease (CVD) in a Chinese population- based cohort. METHODS: We performed this study based on a prospective cohort based on a Chinese population in Jiangsu, China. Logistic regression was employed to detect the interaction of smoking, drinking with obesity on susceptibility to CVD, and calculate the odds ratio (OR) of CVD and corresponding 95% confidence interval (CI). RESULTS: A total of 3598 subjects (1451 males and 2147 females) were enrolled, including 82 CVD patients (36 males and 46 females) who new developed CVD at the follow-up. We found a significant abdominal obesity-current smoking interaction on CVD risk. Compared to never-smokers with normal waist circumference, OR (95% CI) of CVD were 2.44 (1.56-3.81), 1.58 (0.93-2.69), and 5.37 (3.08-9.34) for smokers with normal waist circumference, abdominal obese nonsmokers and abdominal obese smokers, respectively. Synergy index for this interaction was 2.35 (1.05-4.50). We also found a significant abdominal obesity-alcohol drinking interaction on CVD. Compared to never-drinkers with normal waist circumference, OR (95% CI) of CVD were 1.57 (1.01-2.45), 1.84 (1.08-3.12), and 4.44 (2.55-7.72) for drinkers with normal waist circumference, abdominal obese non- drinkers and abdominal obese drinkers, respectively. Synergy index for this interaction was 2.44 (1.04-5.72). CONCLUSION: We found significant interactions between alcohol drinking and abdominal obesity, smoking and abdominal obesity on CVD risk, suggested that the effect of alcohol drinking or smoking on CVD susceptibility seems to be modified by abdominal obesity.

Haplotype Analysis of PPARγ Gene Polymorphisms and the Lipoprotein (a) Level.

BACKGROUND: Lipoprotein (a) [Lp(a)], as an independent risk factor for cardiovascular disease, is more likely to be genetically determined according to the increasing evidence of epidemiologic and clinical studies in recent years. Peroxisome proliferator-activated receptor (PPAR) γ, the ligand-activated transcription factors, was considered as an indispensable role in the process of lipid metabolism. This study was designed to explore the associations of three single-nucleotide polymorphisms (SNPs) and the haplotypes of the peroxisome proliferator-activated receptor (PPAR)γ gene with the level of Lp(a). METHODS: Participants were recruited under the framework of the PMMJS (The Prevention of Metabolic Syndrome (MS) and Multi-metabolic Disorders in Jiangsu Province of China Study) from Apr 1999 to Jun 2004. Overall, 644 subjects were randomly selected and 3 SNPs of PPARγ gene (rs10865710, rs1805192, rs4684847) were genotyped. RESULTS: After adjusting for age, sex, cigarette smoking, alcohol drinking, waist circumference and body mass index, rs4684847 was significantly associated with Lp (a). The presence of the rs4684847 T allele (CT+TT) have a lower level of Lp (a) than the allele (CC) in the dominant model, mean difference was -27.30 (95% CI: -52.88∼-1.73) mg/L, P<0.05. G-P-T and G-A-T haplotype were associated with lower levels of Lp (a) (P=0.0041 and <0.0001), mean difference was 49.79 (95% CI: -97.52∼-2.06) mg/L and 17.75 (95% CI: -25.75∼-9.75) mg/L. CONCLUSION: PPAR gamma polymorphisms (rs10865710, rs1805192, rs4684847) and haplotypes may be the genetic risk factors for Lp (a) level.

Hepatitis B vaccine response in obesity: A meta-analysis.

BACKGROUND: Hepatitis B vaccination is critical in preventing hepatitis B virus (HBV) infection and transmission. However, the impact of obesity on immune response to hepatitis B vaccine remains unclear. METHODS: We performed a meta-analysis of the literature and summarized the results of immune response to hepatitis B vaccine among persons with and without obesity. We used Pubmed, Embase, Web of Science and Cochrane Library to identify all related studies between January 1973 and November 2015. Unadjusted and adjusted pooled OR and 95% CI were calculated by fixed-effect model or random-effect model according to the heterogeneity of the selected studies. RESULTS: Totally, 16 studies contributed to the present meta-analysis. Fifteen of them provided absolute numbers of non-responders in obese group and non-obese group. Overall, we found that the obese population was significantly associated with non-response to hepatitis B vaccination (adjusted OR: 2.46, 95% CI: 1.50-4.03). Significant heterogeneity was present in most of the pooled analyses, but was markedly reduced when analyses were restricted to study reports with uniform criteria of obesity and restricted to study in adults. No publication bias was observed in the present analysis. CONCLUSIONS: The present meta-analysis suggested that obesity is significantly associated with the decreased response to hepatitis B vaccines. Future studies should be performed to unravel this relationship in order to prevent HBV infection and transmission.

Association and interaction of PPARα, δ, and γ gene polymorphisms with low-density lipoprotein-cholesterol in a Chinese Han population.

AIMS: Elevated low-density lipoprotein-cholesterol (LDL-C) is regarded as one of major risks of cardiovascular diseases and atherosclerotic events. It has been previously reported that peroxisome proliferator-activated receptors (PPARs) play an important role in the regulation of lipid metabolism. In this study, we aimed to investigate the influence of PPARα/δ/γ gene polymorphisms on LDL-C level. Eight hundred twenty unrelated participants were recruited. Ten single-nucleotide polymorphisms (SNPs) were genotyped to analyze the gene-gene interactions among these polymorphisms using the generalized multifactor dimensionality reduction (GMDR) method. RESULTS: The results of single-locus analyses indicated that the genotypes with minor allele variants at the rs1800206, rs9794, rs1805192, rs709158, and rs3856806 loci are associated with higher LDL-C levels (p<0.05) after adjusting for covariates. In contrast, individuals that were homozygous for the major allele (CC) of rs10865710 had significantly higher LDL-C than those with either one or more minor type alleles (CG+GG, mean difference: -0.21 mM; 95% confidence interval [CI]: -0.37 to -0.04 mM; p=0.013). Significant gene-gene interactions among PPAR gene polymorphisms on LDL-C were identified by a generalized multifactor dimensionality reduction (GMDR) approach in 2- to 8-locus models (p<0.05). CONCLUSION: Our results provide evidence that multiple PPARα/δ/γ gene polymorphisms are individually associated with increased LDL-C, and that interactions, among these alleles result in additional increased risk suggesting that PPAR genes may contribute substantially to the risk of cardiovascular diseases and atherosclerosis.

Role of peroxisome proliferator-activated receptors gene polymorphisms in type 2 diabetes and metabolic syndrome.

Metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) are the serious public health problems worldwide. Moreover, it is estimated that MetS patients have about five-fold greater risk of the T2DM development compared with people without the syndrome. Peroxisome proliferator-activated receptors are a subgroup of the nuclear hormone receptor superfamily of ligand-activated transcription factors which play an important role in the pathogenesis of MetS and T2DM. All three members of the peroxisome proliferator-activated receptor (PPAR) nuclear receptor subfamily, PPARα, PPARß/δ and PPARγ are critical in regulating insulin sensitivity, adipogenesis, lipid metabolism, and blood pressure. Recently, more and more studies indicated that the gene polymorphism of PPARs, such as Leu(162)Val and Val(227)Ala of PPARα, +294T > C of PPARß/δ, Pro(12)Ala and C1431T of PPARγ, are significantly associated with the onset and progressing of MetS and T2DM in different population worldwide. Furthermore, a large body of evidence demonstrated that the glucose metabolism and lipid metabolism were influenced by gene-gene interaction among PPARs genes. However, given the complexity pathogenesis of metabolic disease, it is unlikely that genetic variation of a single locus would provide an adequate explanation of inter-individual differences which results in diverse clinical syndromes. Thus, gene-gene interactions and gene-environment interactions associated with T2DM and MetS need future comprehensive studies.

Effect of obesity on the association between common variations in the PPAR gene and C-reactive protein level in Chinese Han population.

The peroxisome proliferator-activated receptors (PPARs)-α, -ß/δ, and -γ are the ligand-activated transcription factors that function as the master regulators of glucose, fatty acid and lipoprotein metabolism, inflammation, and atherosclerosis. Our aim was to test the association between ten single nucleotide polymorphisms of PPARs and CRP level, as well as their interaction with overweight/obesity. A sample population of 643 subjects was recruited from the prevention of MetS and multi-metabolic disorders in Jiangsu Province of China Study. The selected SNPs in PPAR α (rs135539, rs4253778, rs1800206), PPAR ß/δ (rs2016520 and rs9794), and PPAR γ (rs10865710, rs1805192, rs709158, rs3856806, and rs4684847) were genotyped. After adjustment for smoking, alcohol consumption, SBP, DBP, TG, and HDL-C, rs1800206, rs709158, rs1805192, and rs4684847 polymorphisms were significantly associated with CRP level in normal weight subjects (P < 0.05). In the overweight/obese subjects, rs1800206 was also significant associated with CRP level (P<0.01). In addition, the rs709158, rs1805192, and rs4684847 polymorphisms were shown interactions with overweight/obesity to influence CRP level (P<0.05). PPARs polymorphisms are independently associated with CRP levels in Chinese Han population. Further, PPARs polymorphisms interact with overweight/obesity to set CRP levels.

Peroxisome proliferator­activated receptor γ polymorphisms as risk factors for dyslipidemia.

Peroxisome proliferator­activated receptor Î³ (PPARγ) may play an important role in lipid metabolism directly or by inducing the transcription of target genes. The aim of the present study was to investigate the association between common variants at the PPARγ locus (C1431T and Pro12Ala polymorphisms) and lipid serum levels. The studied population consisted of 820 subjects randomly selected from the Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province cohort population. All subjects were interviewed and blood samples were obtained for laboratory analysis and DNA extraction. The TaqMan single nucleotide polymorphism genotyping assay was used for polymorphism genotyping. Individual polymorphisms and haplotype data were available for analysis. The 12Ala allele was found to be associated with significantly increased levels of triglyceride (TG) (P<0.01), whilst the 1431T allele was found to be associated with significantly increased levels of TG, total cholesterol (TC) and non­high­density lipoprotein (non­HDL) (P<0.01). When P­C, the most common haplotype, was used as the reference group, the P­T, A­C and A­T haplotypes were found to be associated with significantly increased levels of TG (P<0.01). In addition, the A­T haplotype was shown to be associated with significantly increased levels of TC and non­HDL (P<0.01). In conclusion these results suggest that PPARγ gene variability may increase the risk of dyslipidemia.

The application of visceral adiposity index in identifying type 2 diabetes risks based on a prospective cohort in China.

BACKGROUND: Visceral adiposity index (VAI), a novel sex-specific index for visceral fat measurement, has been proposed recently. We evaluate the efficacy of VAI in identifying diabetes risk in Chinese people, and compare the predictive ability between VAI and other body fatness indices, i.e., waist circumference (WC), body mass index (BMI) and waist- to- height ratio (WHtR). METHODS: Participants (n=3,461) were recruited from an ongoing cohort study in Jiangsu Province, China. Hazard ratio (HR) and corresponding 95% confidence interval (CI) between diabetes risk and different body fatness indices were evaluated by Cox proportional hazard regression model. Receiver operating characteristic (ROC) curve and area under curve (AUC) were applied to compare the ability of identifying diabetes risk between VAI, WC, WHtR and BMI. RESULTS: A total number of 160 new diabetic cases occurred during the follow-up, with an incidence of 4.6%. Significant positive associations were observed for VAI with blood pressure, fasting plasma glucose, triglyceride, WC, BMI and WHtR. Moreover, increased VAI was observed to be associated with higher diabetes risk with a positive dose-response trend (p for trend<0.001). As compared to individuals with the lowest VAI, those who had the highest VAI were at 2.55-fold risk of diabetes (95% CI: 1.58-4.11). The largest AUC was observed for VAI, following by WC, WHtR and BMI. CONCLUSIONS: VAI is positively associated with the risk of diabetes. Compared to other indices for body fatness measurements, VAI is a better and convenience surrogate marker for visceral adipose measurement and could be used in identifying the risk of diabetes in large-scale epidemiologic studies.

Analysis on the association between PPARα/γ polymorphisms and lipoprotein(a) in a Chinese Han population.

Lipoprotein(a) [Lp(a)], a low-density lipoprotein-like particle, is recognized as an independent risk factor for atherosclerosis, cardiovascular diseases, and diabetic vascular diseases. Our recent studies revealed that the single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptors (PPARα/δ/γ) gene are involved in the regulation of lipid storage and metabolism. In order to investigate the relationships between the SNPs of PPARα/γ gene and plasma levels of Lp(a), 644 participants were randomly selected from Chinese Han population in the present study. As the results shown, Lp(a) was significantly associated with L162V (rs1800206) in PPARα. Compared with those subjects with widetype (LL), significantly higher Lp(a) concentration was determined in the individuals with mutant (LV + VV) (mean difference: 49.07 mg/l, 95% CI 23.32-74.82 mg/l, p = 0.0002). Moreover, with generalized multifactor dimensionality reduction analysis, our present results indicated that there was a significant association between plasma Lp(a) level and gene-gene interaction among the polymorphisms rs1800206, rs135539 in PPARα and rs10865710, rs1805192, and rs4684847 in PPARγ. Therefore, our presented study indicated that PPARα/γ polymorphisms should be involved in the regulation of plasma Lp(a) in independently and/or in an interactive manner, suggesting that PPARα/γ gene may influence the risk of hypertension, cardiovascular diseases, and dyslipidemia by regulating Lp(a) level.

PPAR α and PPAR γ polymorphisms as risk factors for dyslipidemia in a Chinese Han population.

BACKGROUND: The PPAR α and PPAR γ are the key messengers responsible for the translation of nutritional stimuli into changes for the expression of genes, particularly genes involved in lipid metabolism. However, the associations between PPAR α/γ polymorphisms and lipid serum levels in the general population were rarely studied, and the conclusions were conflicting. The objective was to investigate the associations of the PPAR α and PPAR γ polymorphisms with dyslipidemia. METHODS: 820 subjects were randomly selected from the Prevention of Multiple Metabolic Disorders and MS in Jiangsu Province cohort populations. The logistic regression model was used to examine the association between these polymorphisms and dyslipidemia. SNPstats was used to explore the haplotype association analyses. RESULTS: In the codominant and log-additive models, rs1800206, rs1805192 and rs3856806 were all associated with dyslipidemia (P < 0.005). When the most common haplotype L-G (established by rs1800206, rs4253778) was treated as the reference group, the V-G haplotype was associated with dyslipidemia (P < 0.001), higher TC and TG levels (P < 0.01). Moreover, when compared to Pro-C haplotype (established by rs1805192, rs3856806), the Pro-T, Ala-C, Ala-T haplotypes were associated with dyslipidemia (p < 0.001). A-T haplotype was associated with higher TC levels, (p < 0.01), and the P-T, A-C, A-T haplotypes were associated with higher TG levels (p < 0.01). CONCLUSIONS: PPAR α and PPAR γ polymorphisms and haplotypes may be the genetic risk factors for dyslipidemia.

[Effects related to gene-gene interactions of peroxisome proliferator-activated receptor on essential hypertension].

OBJECTIVE: To explore the impact of the gene-gene interaction among the single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptor α/δ/γ on essential hypertension (EH). METHODS: Participants were recruited based on the previous work of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province) cohort study in Jiangsu province of China. A total number of 820 subjects were randomly selected from the cohort and received gene polymorphism detection covered ten SNPs:PPARα/δ/γ (PPARα: rs135539, rs1800206 and rs4253778; PPARδ: rs2016520 and rs9794; PPARγ: rs10865710, rs1805192, rs4684847, rs709158 and rs3856806). Generalized Multifactor Dimensionality Reduction (GMDR) model was used to evaluate the association between gene-gene interaction among the ten SNPs and EH. RESULTS: After adjusting factors as gender, age, BMI, FPG, TG, HDL-C, high fat diet, low fiber diet and physical activity, results from the GMDR analysis showed that the best qualitative trait models were 7/9-dimensional model (EH: cross-validation consistency were 9/10 and 10/10, prediction accuracy were 0.5862 and 0.5885), 5/9-dimensional model (SBP:cross-validation consistency were 10/10 and 8/10, prediction accuracy were 0.6055 and 0.6011), and 8/9-dimensional model (DBP: cross-validation consistency both were 10/10, prediction accuracy were 0.5926 and 0.5972), while the best quantitative trait models were 4/5-dimensional model (SBP: cross-validation consistency were 10/10 and 8/10, prediction accuracy were 0.6111 and 0.6072), and 5-dimensional model (DBP: cross-validation consistency were 9/10, prediction accuracy were 0.5753). CONCLUSION: Interactions among ten SNPs of PPARs seemed to have existed and with significant impact on the levels of blood pressure.

Association of peroxisome proliferator-activated receptor γ polymorphisms and haplotypes with essential hypertension.

Peroxisome proliferator-activated receptor γ (PPARγ) is a nuclear receptor involved in the regulation of several biochemical pathways. Blood pressure-lowering effects have been found in PPARγ agonists in several hypertensive models. The biology and research data related to the gene suggest that it could play a role in essential hypertension (EH) susceptibility. This study aimed to investigate the association between PPARγ polymorphisms and EH. About 820 subjects were genotyped for the three single-nucleotide polymorphisms used as genetic markers for the PPARγ genes (C681G, Prol2Ala, and C1431T). After correction for age, sex, smoking, alcohol consumption, body mass index, waist circumference, and fasting glucose, the G allele (CG+GG) of C681G was significantly associated with the increase in the risk of EH (odds ratio [OR]=1.54, 95%confidence interval [CI]: 1.14-2.09, p=0.005). The A allele (PA+PP) of Pro12Ala was significantly associated with the decrease in the risk of EH (OR=0.70, 95%CI: 0.52-0.95, p=0.020). However, C1431T was not significantly associated with EH. Generalized multifactor dimensionality reduction analysis showed that there was a potential gene-gene interaction between C681G and Prol2Ala (p=0.0107). The G-P haplotype (established by C681G, Prol2Ala) was significantly associated with increase in the risk of EH (OR=1.53, 95%CI:1.13-2.07, p=0.006). In conclusion, PPARγ polymorphisms and haplotypes were significantly associated with hypertension susceptibility.

[The prospective study of association between C-reactive protein and hypertension in community population].

OBJECTIVE: The aim was to explore the association between high-sensitivity C-reactive protein level at baseline and hypertension in follow-up periods in a Chinese cohort. METHODS: We analyzed data from a cohort established in "Prevention of metabolic syndrome and multi-metabolic disorders in Jiangsu province" in April 2000. A follow-up investigation was carried out for those whose follow up time met 5 years in June 2006. A total of 2035 persons completed investigation and hs-CRP was tested. Subjects with normal baseline blood pressure were classified into four groups(514, 498, 515 and 508 subjects in each group) according to quartiles of hs-CRP level (<1.3, 1.3-1.9, 2.0-3.2 and ≥ 3.3 mg/L). The relationship between the risk of hypertension and baseline level of hs-CRP were analyzed using Cox proportional hazards regression model. RESULTS: The median of follow up time was 6.39 years among the 2035 subjects (926 males and 1109 females). Hypertension incidence was 2378/100 000 person-years, 2942/100 000 person-years, 3693/100 000 person-years and 4390/100 000 person-years in hs-CRP < 1.3, 1.3-1.9, 2.0-3.2 and ≥ 3.3 mg/L groups respectively. Compared to the group of hs-CRP < 1.3 mg/L, the relative risk (RR) (95%CI) of hypertension in groups of hs-CRP 1.3-1.9, 2.0-3.2 and ≥ 3.3 mg/L was 1.22 (0.87-1.72), 1.43 (1.03-2.00), 1.70 (1.21-2.41) respectively, adjusted for sex, age, baseline blood pressure, BMI, smoking, alcohol drinking, physical activity and family history of myocardial infarction and diabetes.When stratified by quartiles of baseline blood pressure, the incidence of hypertension in each group increased with level of hs-CRP.In the group whose baseline SBP < 110 mm Hg (1 mm Hg = 0.133 kPa) , compared to the group of hs-CRP < 1.3 mg/L, RR (95%CI) were 2.24 (1.32-4.03), 2.57 (1.57-4.57) and 3.57 (2.54-5.90) in hs-CRP 1.3-1.9, 2.0-3.2 and ≥ 3.3 mg/L groups respectively.In the group whose baseline DBP < 65 mm Hg, RR (95%CI) were 1.78 (1.03-3.24), 2.74 (1.63-4.93) and 4.13 (2.35-7.27) respectively. CONCLUSION: Inflammation was an important process in the development of hypertension.

[Roles of peroxisome proliferator-activated receptors polymorphisms, haplotypes, levels on C-reactive protein and their interactions with abnormal body weight].

OBJECTIVE: To explore the roles of peroxisome proliferator-activated receptors (PPARs) on the levels of serum C-reactive protein(CRP)and the interactions of PPARs haplotypes with abnormal body weight. METHODS: Subjects(n = 644)were randomly selected from the cohort 'Prevention of Multiple metabolic disorders and Metabolic syndrome in Jiangsu province(PMMJS)' Variance test, t test and lineal regression were used to analyze the associations between PPARs polymorphisms and the levels of CRP. The association between PPARs haplotypes and serum CRP levels as well as the interaction of PPARs haplotypes with abnormal body weight were analyzed, under the SNPStats software. RESULTS: After adjusting for sex, age, blood pressure, cigarette smoking, alcohol drinking and so on, data showed that both rs1800206 and rs9794 were associated with the changes along with the levels of CRP (P < 0.05). After adjusting for the same factors, haplotypes of AVG and CVG in PPARα, CG in PPARd appeared to be associated with the increase (P < 0.05)while haplotypes of CC in PPARδ, CPCAC in PPARγ were associated with the decrease of CRP levels (P < 0.05). Results from the Interaction analysis also noted that the interactions did exist between abnormal body weight and both AVG, CVG in PPARα, and CG in PPARδ. CONCLUSION: PPARs polymorphisms and haplotypes were associated with CRP. Interaction between PPAR a/d and abnormal body weight might contribute to the levels of CRP.

[Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the lipid accumulation product].

OBJECTIVE: To investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (PPARα, δ, γ) with lipid accumulation product (LAP) and the additional role of a gene-gene interactions among the 10 SNPs. METHODS: Participants were recruited under the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu province) cohort populations survey in the urban community of Jiangsu province of China. A total of 820 subjects were randomly selected and no individual was related. Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806 and rs4684847) were selected from the HapMap database, which covered PPARα, PPARδ and PPARγ. A linear regression model was used to analyze the relations between ten SNPs in the PPARs and LAP. Mean difference (Difference) and 95% confident interval (95%CI)were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR). RESULTS: After adjusting the factors as age, gender, smoking status, occupational physical activity, educational level, high-fat diet as well as low-fiber diet, both rs1800206, s1805192 and rs3856806 were significantly associated with the increased level of LAP. Difference (95% CI) values were 32.47 (22.62-42.31), 12.97 (4.61-21.33) and 12.49 (4.24-20.75). Whereas rs2016520 was significantly associated with the decreased level of LAP. Difference (95%CI) values was -14.67 ( -22.97--6.55). GMDR analysis showed a significant gene-gene interaction among rs135539, rs1800206 of PPARα, rs2016520 of PPARδ and rs10865710, rs3856806, rs709158, rs1805192, rs4684847 of PPARγ for eight-dimension models (P < 0.05), in which prediction accuracy was 0.5902 and cross-validation consistency was 10/10. CONCLUSION: The rs1800206 of PPARα and rs1805192, rs3856806 of PPARγ were significantly associated with the increased level of LAP; rs2016520 of PPARδ was associated with the decreased level of LAP. There was a gene-gene interaction between multiple SNPs.

Gene-gene interactions among PPARα/δ/γ polymorphisms for hypertriglyceridemia in Chinese Han population.

The peroxisome proliferator-activated receptors (PPARs)-α,-ß/δ and -γ are the ligand-activated transcription factors that function as the master regulators of glucose, fatty acid and lipoprotein metabolism, energy balance, cell proliferation and differentiation, inflammation and atherosclerosis. This study examined the main effects of both single-locus and multilocus interactions among genetic variants in Chinese Han individuals to test the hypothesis that PPAR-α/δ/γ polymorphisms may contribute to the etiology of hypertriglyceridemia independently and/or through such complex interactions. We genotyped 9 single nucleotide polymorphisms for PPAR-α/δ/γ. Participants were recruited from the Prevention of MetS and Multi-metabolic Disorders in Jiangsu Province of China Study. 820 subjects (474 non-hypertriglyceridemia subjects, 346 hypertriglyceridemia subjects) were randomly selected. Single-locus analyses showed that after adjusted for age, sex, smoking, alcohol consumption, body mass index, waist circumference and fasting glucose, rs1800206, rs9794, rs3856806 and rs1805192 were significantly associated with hypertriglyceridemia, the OR (95% CI) were 4.43(3.08-6.37), 1.49(1.10-2.02), 1.56(1.16-2.08), 2.43(1.80-3.29), respectively. Further, generalized multifactor dimensionality reduction method analysis showed that two-to-six-locus and eight-locus models were significant (p<0.05), which indicated a potential gene-gene interaction among PPAR-α/δ/γ polymorphisms. The results suggest that PPAR-α/δ/γ polymorphisms may contribute to the risk of hypertriglyceridemia independently and/or in an interactive manner.

[Genotype and haplotype analysis of peroxisome proliferators activated receptor α gene and the risk of essential hypertension].

OBJECTIVE: PPARα, which is expressed in the liver, heart, skeletal muscle, and kidney, regulates lipid and lipoprotein metabolism. The aim of this study was to investigate the association between the PPARα gene and essential hypertension (EH) using a haplotype-based cohort study in a Chinese-Han population. METHODS: 820 subjects (270 males, 550 females) were genotyped for the three single-nucleotide polymorphisms used as genetic marker for the PPARα gene (rs1800206, rs4253778 and rs135539). Individual polymorphism and haplotype data were available for analyses. RESULTS: In the dominant model, the presence of the G allele of rs1800206 and the C allele of rs135539 were at a decreased risk of EH (OR = 0.48, 95%CI 0.40 - 0.64, P < 0.01; OR = 0.75, 95%CI 0.62 - 0.93, P < 0.01, respectively). A 3.16-fold increase (95%CI 1.86 - 6.94, P = 0.002) in the risk of the development of EH was observed in homozygous genotype (CC) of rs4253778 compared to carriers of GG genotype (co-dominant model). The A-G-V and C-G-V haplotype (established by rs135539, rs4253778, rs1800206) was associated with a statistically significant decreased risk of EH (OR = 0.56, 95%CI 0.33 - 0.83, P = 0.027; OR = 0.53, 95%CI 0.30 - 0.84, P = 0.033, respectively). CONCLUSION: These results may help to clarify the role of PPARα gene in EH and the evaluation of its polymorphisms and haplotypes as being characterized as genetic decreased risk factors for EH.

[Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the body mass index].

OBJECTIVE: To investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptor (α, δ, γ) with obesity and the additional role of a gene-gene interaction among 10 SNPs. METHODS: Participants were recruited within the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province)-cohort-population-survey in the urban community of Jiangsu province, China. 820 subjects (513 non obese subjects, 307 obese subjects) were randomly selected and no individuals were related to each other. Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806, rs4684847) were selected from the HapMap database, which covered PPARα, PPARδ and PPARγ. Logistic regression model was used to examine the association between ten SNPs in the PPARs and obesity. Odds ratios (OR) and 95% confident interval (95%CI) were calculated. Interactions were explored by using the Generalized Multifactor Dimensionality Reduction (GMDR). RESULTS: A group of 820 participants (mean age was 50.05± 9.41) was involved. The frequency of the mutant alleles of rs2016520 in obese populations was less than that in non-obese populations (26% vs. 33%, P < 0.01). The frequency of the mutant alleles of rs10865710 in obese populations was more than that in non-obese populations (37% vs. 31%, P = 0.01). C allele carriers had a significantly lower obesity occurrence than TT homozygotes [OR (95%CI) = 0.63 (0.47 - 0.84)] for rs2016520 but no significant association was observed between other SNP and incident obesity. GMDR analysis showed a significant gene-gene interaction among rs2016520, rs9794 and rs10865170 for the three-dimension models (P = 0.0010), in which prediction accuracy was 0.5834 and cross-validation consistency was 9/10. It also showed a significant gene-gene interactions between rs2016520 and rs10865170 in all the two-dimensional models (P = 0.0010), in which predictive accuracy was 0.5746 and cross-validation consistency was 9/10. CONCLUSION: Our data showed that rs2016520 was associated with lower obesity risk, as well as interactions among rs2016520, rs9794 and rs10865170 on incident obesity.