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Showing 8 results for Shafaei

Ebrahim Javadi, Shahin Yarahmadi, Bagher Larijani, Saado-Allah Mohammadi, Ali-Reza Shafaei, Reza Baradar-Jalili,
Volume 1, Issue 2 (18 2002)
Abstract

Introduction: In patients with type 2 diabetes, triglyceride (TG) is usually increased, HDL decreased, and LDL normal. This pattern is associated with an increased risk of coronary heart disease. More recently, dense-particle LDL has been identified as an important risk factor for coronary heart disease.
Methods: 298 patients with type 2 diabetes attending the diabetes clinic at Doctor Shariati University Hospital underwent anthropometric and biochemical assessment. Anthropometric measurements followed WHO criteria. Biochemical indices (apoB100, TG, cholesterol, LDL, LDL particle size, HDL, and apoA1) were measured using standard laboratory methods. One-way ANOVA was used to analyse data with SPSSv6 software.
Results: Mean patient age was 55±13.2 years. Mean duration of diabetes was 9.5±6.1 years. The majority of patients were moderate to severely overweight. 73.2% of patients had some form of hyperlipidaemia. 20.7% had isolated hypertriglyceridaemia, 21% isolated hypercholesterolaemia, and 31.5% mixed hyperlipidaemia. Mean apoA1 concentration was higher than normal in this group, and mean apoB100 concentration lower. LDL particle size generally followed a small and dense pattern.
Conclusion: This study shows that LDL particles in both men and women with type 2 diabetes undergo both qualitative and quantitative changes. 35.5% of patients had smaller, denser LDL particles than normal. It appears that dyslipidaemia and B-pattern LDL particles are important risk factors for atherosclerosis in this group.
Bagher Larijani, Nariman Mossafa, Peyman Shoshtarizadeh, Mehdi Nouraei, Ebrahim Javadi, Ali-Reza Shafaei, Ali-Reza Vassigh,
Volume 2, Issue 1 (17 2003)
Abstract

Background: Diabetes is a hidden epidemic and the most common metabolic disorder in the world. Immune dysfunction (cellular and humoural) is one of the consequences of diabetes, including defects of phagocyte function, notably in chemotaxis, phagocytosis, and killing. Results of studies on phagocyte respiratory burst activity, however, have been contradictory. We studied the respiratory burst of peripheral blood neutrophils and monocytes separately in response to formyl-met-leu-phe (fmlp) and phorbol-12,13-myristate acetate (PMA).
Methods: 36 patients with type 2 diabetes (mean age 53±7 years) and 20 healthy controls (mean age 50±5 years) each provided a 15ml blood sample. Peripheral blood neutrophils and monocytes were separated and purified (>95%) using specific density gradients and short-term culture. We then separately assessed respiratory burst activity in response to fmlp and PMA by the semi-quantitative nitroblue tetrazolium (NBT) test.
Results: Following stimulation with PMA, diabetic neutrophils showed reduced respiratory burst activity compared with normal neutrophils (p=0.097). Following stimulation with fmlp, too, diabetic neutrophils showed reduced respiratory burst activity compared with normal neutrophils, which this time was statistically significant (p=0.027). There was no difference between diabetic and normal subjects with regards to monocyte response to either fmlp or PMA.
Conclusion: It appears that the diminished response and reduced effectiveness of the phagocyte system in people with diabetes can facilitate the onset, exacerbation, and persistence of infection.
Ebrahim Javadi, Alireza Shafaei, Ardavan Irvani,
Volume 2, Issue 2 (17 2003)
Abstract

Background: LDL oxidation plays a significant role in atherosclerosis process. Change in LDL type, occurring with physical activity, and the resulting decrease in LDL sensitivity to the oxidative process can protect the subject against atherosclerosis. This study has compared LDL sensitivity to oxidation in athletes and non athletes.
Methods: 14 male athletes (aged 482) and 14 male non athletes (aged 444) were recruited. 10 ml venous fasting blood was obtained from each subject. According to the PUHL guidelines, LDL sensitivity to oxidation was evaluated using conjugated diene method. Cholesterol and triglyceride were measured by enzymatic immunoassay. HDL-c was measured by precipitation method. LDL was calculated by Fried-Wald formula.
Results: LDLs from athletes’ sera were less vulnerable to oxidation than non-athletes’ sera. To say, mean lag time in athletes was 60.35 10 compared to 5610 in non athletes. This difference, however, was not statistically significant. A significant difference existed between the two groups with regard to HD L-c level (46.28 vs. 388.5 P 
Shahin Yarahmadi, Bagher Larijani, Ebrahim Javadi, Mohammad-Hassan Bastan Hagh, Mohammad Pajouhi, Reza Malekzadeh, Mahmood Mahmoudi, Aliereza Shafaei, Mohammad-Reza Mohajeri-Tehrani, Ali Rajabe, Mohammad Farshadi,
Volume 3, Issue 1 (16 2004)
Abstract

Celiac disease and typel diabetes mellirus have been linked to the same HLA markers and chromosomal loci, which may account for the concurrence of the two disorders in a significant number of patients. This study was designed to investigate the frequency of anti-gliadin antibodies, a marker for celiac disease, in diabetic patients.
Methods: In this study, 182 diabetic patients (52 with typel and 130 with type2 diabetes) were screened for anti-gliadin IgG by indirect immunofluorescence. Age range was 3-29.5 and 42-65 years for type 1 and type 2 diabetes groups.
Results: Anti-gliadin IgG was found in 1.9% and 1.5% of patients with type land type 2 diabetes. In Tehran, 0.02% of healthy blood donors have been reported to be seropositivitive for anti-gliadin IgG.
Conclusion: The prevalence of anti-gliadin seropositivity in type 1 and type 2 diabetics, was respectively 30 and 24 times higher than the general population of Tehran. This concurs with other reports indicating higher occurrence of celiac disease in diabetic populations. The rather low sensitivity and specificity (both around 80%) of the antigliadin antibody test has made it a suboptimal diagnostic test. However, it is quick and inexpensive and can be suitable for screening programs. We recommend the test in all at-risk populations including diabetics.
Arash Hossein-Nezhad, Jila Maghbooli, Seyed Masoud Arzaghi, Alireza Shafaei, Mazaher Rahmani, Bagher Larijani,
Volume 5, Issue 3 (17 2006)
Abstract

Background: Although there is increasing evidences that vitamin D is related to the occurrence of diabetes mellitus, its relation to glucose metabolism in pregnancy is not well studied. This study investigated 25-hydroxyvitamin D deficiency status in GDM pregnant women.
Methods: As a cross sectional study we recruited 741 pregnant women referred to five university educating hospital clinics. The universal screening was performed with a GCT-50g and those with plasma glucose level ≥130mg/dl, were diagnosed as GDM, if they had an impaired GTT-100g based on Carpenter and Coustan criteria. The levels of insulin was studied during OGTT-100g. Serum concentrations of 25-hydroxy vitamin D was measured too.
Results: Univeriate analysis revealed that 25 (OH) vit D concentrations were positively correlated with HOMA and ISOGTT index. Subjects with hypovitaminosis D (<12.5nmol/dl) had greater prevalence of GDM than others.
Conclusion: The results reveal a positive association between 25(OH) vit D concentrations and insulin sensitivity. Vit D deficiency is more prevalent in patients with GDM than normal pregnant women, So vit D supplementation may control glucose levels and improves outcome of pregnancy.
Mohammad Jafar Mahmoudi, Hooryye Saghafi, Hossein Fakhrzadeh, Ramin Heshmat, Alireza Shafaei, Bagher Larijani, ,
Volume 5, Issue 3 (17 2006)
Abstract

Background: Dyslipidemia accounts as a major risk factor for cardiovascular diseases. The aim of this survey was to determine the prevalence of dyslipidemia among relatives of patients with premature coronary artery disease (PCAD).
Methods: As a cross-sectional study 232 first degree relatives of patients with PCAD were recruited. A questionnaire was filled out by all of the participants all of them undergone physical examination and blood sampling. Lipid profile was categorized according to the NCEP: ATPIII criteria.
Results: Total Cholesterol>200 in 29.7%, LDL>160 in 10.3%, HDL<40 in 12.9%, TG>200 in 32.8%, ApoB100>130 in 14.2%, Apo A1<90 in 1.7% and LP(a)>30 in 47% of participants were seen. Serum levels of TG were significantly higher in men than women levels of HDL and ApoA1 were lower in men than women. The Prevalence of dyslipidemia among relatives was 59.6%.
Conclusion: In view of high prevalence of Dyslipidemia among relatives of PACD patients, active interventions in order to primary prevention of cardiovascular diseases via exact screening is recommended.
Atbin Moradi Zirkohi, Mohsen Khoshniat, Farhad Zare, Zhila Maghbooli, Arash Hossein-Nezhad, Alireza Shafaei, Bagher Larijani,
Volume 6, Issue 2 (18 2006)
Abstract

Background: Adiponectin and leptin are hormones which are related to body fat tissues and body weight. In pregnant women, conflicting associations have been reported between the role of serum concentrations of adiponectin and leptin with infant birth weight. The aim of this study was to determine the association between maternal and cord blood adiponectin and leptin concentrations with birth weight. Methods: As a cross-sectional study 86 pregnant women referred to university hospital clinics were recruited. Maternal and umbilical cord blood samples were obtained in delivery room just after birth. The maternal and umbilical cord serum samples were analyzed for adiponectin and leptin. Their birth weight and height were measured at labor.
Results:
The mean of maternal BMI, birth weight, and gestational age was 23.8±4.8 kg/m2, 3.13±0.14 kg, and 38.15±2.6 week, respectively. No correlation between adiponectin and birth weight were found. Birth weight positively correlates with leptin.
Conclusion:
leptin concentrations in cord blood may be reflected the alternation of body fat tissue in infant and independently associated with infant birth weight.
Narges Shafaei Bajestani, Maryam Aradmehr, Ensieh Nasli Esfahani, Behrooz Khiabani Tanha,
Volume 18, Issue 2 (2-2019)
Abstract

Background: Diabetes is one of the most dangerous and common diseases of the modern world. Since medical research usually has limited data available and medical data is very ambiguous, it seems appropriate to use the fuzzy model to find out the relationship between input and output in medical data. None of the previous articles of fuzzy regression have been used to predict complications of diabetes, including nephropathy. Therefore, in this study, a fuzzy regression model was used to predict nephropathy in a diabetic patient.
Methods: In the present study, GFR results of previous patient experiments were used to predict a deeper horizons of GFR and ultimately to predict renal disease. Chronic kidney disease has been stratified based on the amount of GFR, that fuzzy data has been constructed based on these levels. The GFR prediction was performed in the following steps. Step 1: Define fuzzy sets based on the GFR level, which is considered for each level of a fuzzy set. Step 2: Fuzzify patient data Based on fuzzy sets. Step 3: GFR prediction with fuzzy regression model. Step 4: Defuzzifying the predictions. Step 5: Evaluating the model efficiency. The RMSE error is used to compare the performance of the model.
Results: The results of GFR prediction showed that comparison RMSE was 10.09 with using simple linear regression model and 4.24 in fuzzy model.
Conclusions: fuzzy regression model can predict nephropathy in diabetic patients.

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