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Bita Faam, Maryam Zarkesh, Maryam Sadat Daneshpour, Fereidoun Azizi, Mehdi Hedayati,
Volume 13, Issue 2 (1-2014)
Abstract

Background: It is now evident that adipose tissue functions as an endocrine organ by releasing adipokines, and the levels of a number of inflammatory markers elevated in overweight and obese individuals. The objective of this study was to examine the association between inflammatory markers (IMs) including C-reactive protein (hs-CRP), Interleukin-6 (IL-6), Homocystein (Hcy) and obesity variables in Tehran Lipid and Glucose Study (TLGS) adults. Methods: In this cross-sectional study, 352 individuals (132 men and 220 women), age ≥19 years, were randomly recruited from among TLGS population. Individuals were categorized based on the waist circumference. The serum levels of IMs were determined using the Enzyme Linked Immunosorbent Assay (ELISA) method. Results: The mean age of participants was 46.1±16.1years and Abdominal obesity were present in 199(56.5%) individuals. The levels of hs-CRP and IL-6 were higher in abdominally obese group (1507±3.3 vs. 577.8±4.3 ng/mL p<0.001) (3.6±3.3 vs. 1.9±3.8 pg/mL p< 0.001), and in the same group, the best predictors (based on the adjusted R2) for hs-CRP, IL-6 and Hcy were waist (WC), waist to height ratio (WHtR) and wrist, respectively. Hip and WHtR were the best predictors for Hcy and hs-CRP in normal group there was no variable significantly correlated with IL-6, therefore it was not possible to consider an independent predictor for IL-6. Conclusion: According to this study, obesity is associated with IM levels, and in abdominally obese group, the best predictor for Hcy, hs-CRP and IL-6 were Wrist, waist and WHtR respectively.
Maryam Sadat Daneshpour, Bahareh Sedaghatikhayat, Mehdi Hedayati, Fereidoun Azizi,
Volume 14, Issue 4 (5-2015)
Abstract

Background: The prevalence of non-communicable disorders such as metabolic syndrome (MetS) is high in developing countries. Metabolic syndrome is a disorder of energy utilization and storage, diagnosed by a co-occurrence of three out of five of the following medical conditions: abdominal (central) obesity, elevated blood pressure, elevated fasting plasma glucose, high serum triglycerides, and low high-density cholesterol (HDL) levels. The present review aims to discover the genetic variant reported in association with MetS. Methods: The database for genotypes and phenotypes (dbGaP) and the database for genetic associations and human genome (HuGE navigator) were utilized in order to search for genes and their corresponding polymorphisms related to MetS. Additionally, an electronic literature search for other Iranian studies and the genetic aspect of TLGS was completed using PubMed. Results: For phenotype selection in PheGenI, 30 traits were chosen and after the analysis, 21 of them were in common results with MetS. After finding the common variation between traits and MetS, omitting the repeated SNPs, 173 variations were remained. Finally, results distinguished six of the most important genetic regions found to have strong association with MetS. Conclusion: Identifying major genes that are responsible for the metabolic syndrome may improve the medical care for treating individuals with metabolic syndrome, and eventually may lead to personalized medicine in which treatment is tailored genetically to the patient’s needs. The present candidate regions is a respectable start to replicate genetic studies in large affected Iranian individual which we hope leads us to improve our medical care in this field.


Bita Faam, Asieh Zahedi, Mehdi Hedayati, Fereidoun Azizi, Mohammad Ali Mansournia, Maryam Daneshpour,
Volume 15, Issue 1 (1-2016)
Abstract

Background: The scavenger receptor class B type I (SR-BI), as the high density lipoprotein cholesterol (HDL-C) receptor, is a key component in the reverse cholesterol transportation. The objective of this study was to assess the association between exon1 (G→A) polymorphism of SR-BI gene and lipid profiles among the Tehran Lipid and Glucose Study (TLGS) population.

Methods: This cross-sectional study included 774 adults (322 males and 452 females) aged 20–70 years, who were randomly selected from among TLGS population. Anthropometrical and biochemical variables for participants were measured. Selected SR-BI gene polymorphism was determined with restriction fragment length polymorphism (RFLP) using the Alu restriction enzyme.

Results: according to the results of current study, in the Tehran population, the allele frequency of SR-BI (G→A) polymorphism was 0.159 for an allele (minor allele) and 0.841 for G allele. Allele frequencies were in conformity with Hardy–Weinberg equilibrium. The result of this study showed that Subjects with the less common allele (allele A), after adjusting for age, have lower HDL-CandHDL3concentrations (p=0.046, p=0.041 respectively).

Conclusion: lipid disorders are caused by the interaction of environmental and genetic factors; therefore, exon1 (G→A) polymorphism of SR-BI gene could not be the only cause for the abnormality in the HDL-C levels. In future, this polymorphism may be use as a molecular marker for diagnosis.



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