Publications by authors named "Zhi-rong Guo"

Objective: The purpose of this study was to compare the ability of four obesity indicators, including waist circumference (WC), body mass index (BMI), body adiposity index (BAI), and waist-to-height ratio (WHtR) on prediction for incident cardiovascular disease (CVD) in Chinese Han population.

Methods: We analyzed data from a prospective population cohort of 3598 participants aged 35 to 74 years from Jiangsu China. The logistic regression model was used to analyze the association between four obesity indicators and CVD risk.

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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.

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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.

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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).

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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).

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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.

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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.

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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.

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Peroxisome proliferator‑activated receptor γ (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.

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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.

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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.

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The peroxisome proliferator-activated receptors (PPARs)-α, -β/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.

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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.

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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.

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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.

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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.

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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).

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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.

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Article Synopsis
  • The study aimed to examine the link between specific genetic variations (SNPs) at PPAR (peroxisome proliferator-activated receptors) genes and hypertriglyceridemia, as well as how these genes interact with each other.
  • A total of 820 participants from a larger study in Jiangsu, China, provided blood samples for genetic and triglyceride level analysis to assess this association.
  • Results showed significant differences in genotype frequencies for certain SNPs between groups with and without hypertriglyceridemia, suggesting that these genetic variations may influence triglyceride levels in the blood.
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Objective: To investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (α, δ, γ) with low high-density lipoprotein-cholesterol (HDL-C) hyperlipidemia 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 MS in Jiangsu Province) cohort populations survey, in the urban community of Jiangsu province, China. 820 subjects (579 normal HDL-C, 241 low HDL-C) were randomly selected, with one of them related to each other.

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Objective: To study the use of hypertriglyceridemic waist (HTGW) to predict the occurrence of diabetes. Also to independently study whether there was an interaction between HTGW and impaired fasting glucose impaired fasting glucose (IFG) on the cause of diabetes.

Methods: We undertook a cohort study based on data from the "Prevention of Multiple Metabolic Disorders and Metabolic Syndrome (MS) Study in Jiangsu Province, China".

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Article Synopsis
  • The study investigates how specific genetic variations (SNPs) in the PPARδ and PPARγ genes affect abdominal obesity in 820 unrelated individuals.
  • Findings suggest that the C allele of the SNP rs2016520 is linked to a decreased risk of abdominal obesity compared to the TT genotype, with significant statistical results.
  • The research identifies a three-locus model involving SNPs rs2016520, rs1805192, and rs9794 as the most accurate predictor for abdominal obesity, highlighting the importance of these genetic factors.
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Article Synopsis
  • PPARs, or peroxisome proliferator-activated receptors, are important proteins that regulate various metabolic processes including glucose and fat metabolism, energy balance, and inflammation.
  • The study investigated the genetic variations (polymorphisms) of PPARs in Chinese Han individuals to determine their role in causing hypertriglyceridemia (high triglycerides in the blood).
  • Findings revealed that certain genetic variants were significantly linked to hypertriglyceridemia and suggested potential interactions between multiple genetic factors affecting triglyceride levels.
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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).

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