Showing 6 results for Nasli
Maryam Peimani, Camelia Rambod, Robabeh Ghodsi, Ensieh Nasli Esfahani,
Volume 15, Issue 4 (5-2016)
Abstract
Background: The objective of the current study is to assess the effectiveness of Mobile Short Message Service (SMS) intervention on education of basic self-care skills in patients with type 2 diabetes. Moreover, we aimed to determine whether delivering individually-tailored educational messages can be more effective than general educational messages.
Methods: A total of 150 patients with diabetes type 2 were randomized into three groups: tailored SMS group, non-tailored SMS group, and the control group. Biochemical parameters including HbA1c, FBS, lipid profile were evaluated for the three groups at baseline and after 12 weeks. Moreover, self-care Inventory (SCI), Diabetes Management Self-Efficacy Scale (DMSES) and Diabetes Self -Care Barriers assessment scale for Older Adults (DSCB-OA) were completed. In the tailored SMS group, each person received 75% of their messages based on the top two barriers to adherence that they had experienced and reported in their scale. In the non-tailored SMS group, random messages were sent to every patient.
Results: After12 weeks, although HgA1c levels did not significantly change, significant decline was observed in FBS and mean BMI in both intervention groups. Mean SCI-R scores significantly increased and mean DSCB and DMSES scores significantly decreased in both tailored and non-tailored SMS groups. In the control group, mean SCI-R scores decreased and mean DSCB and DMSES scores significantly increased (P< 0.001).
Conclusion: Sending short text messages as a method of education in conjunction with conventional diabetes treatment can improve glycemic control and positively influence other aspects of diabetes self-care. According to our findings, sending SMS regularly in particular times appears to be as effective as sending individually tailored messages.
Saeedeh Asgarbeik, Mahsa Mohammad Amoli, Seyed Abdolhamid Angaji, Farideh Razi, Ensieh Nasli Esfahani,
Volume 16, Issue 3 (3-2017)
Abstract
Background: Diabetic Nephropathy is one of the main microvascular complications of diabetic mellitus. Methylenetetrahydrofolate Reductase (MTHFR) is one of the candidate genes of diabetic nephropathy. MTHFR (C677T) polymorphism reduces catalytic activity of MTHFR and leads to increase level of plasma homocysteine. The aim of this study was to evaluate the association of C677T polymorphism with diabetic nephropathy.
Methods: In this case control study, 300 individuals, including type 2 diabetes mellitus with diabetic nephropathy (N=104), diabetes mellitus patients without diabetic nephropathy (N=100) and controls (N=96) participated. The MTHFR genotype was determined using PCR-RFLP technique and biochemical parameters were measured.
Results: Genotype frequencies were significantly different between patients with diabetic nephropathy and diabetes mellitus without nephropathy (TT+CT vs CC; P=0.02,OR:0.5,CI:0.3-0.9).The allele frequency was also significantly different between diabetic nephropathy and diabetics mellitus without nephropathy(P=0.013,OR:1.754,CI:1.123-2.740).
Conclusion: These findings suggest that there is an association between C677T polymorphism and nephropathy in patients with type 2 diabetes. Allele C increase the risk of nephropathy, and T allele has a protective role in susceptibility to disease.
Ali Jalili, Bagher Larijani, Farideh Razi, Ensieh Nasli, Mostafa Qorbani,
Volume 16, Issue 6 (10-2017)
Abstract
Background: Diabetic nephropathy is a chronic kidney disease and of more common complications of type 2 diabetes mellitus. The current diagnostic markers of diabetic nephropathy, albumin and creatinine, are only able to catch the disease in the stage of renal damage. The aim of this study is evaluation of targeted metabolomics of serum amino acids to identify the association of the changes of serum amino acid profile with diabetes and diabetic nephropathy.
Methods: This cross-sectional study was conducted in 2015-2016 on thirty patients with type 2 diabetes subsequent diabetic nephropathy and thirty type 2 diabetic patients without nephropathy attending diabetes clinic of endocrinology and metabolism institute and thirty non diabetic persons. Blood hemoglobin, HbA1c and BUN and also, serum albumin, uric acid and the albumin/creatinine ratio from a random urine specimen were measured by standard methods and serum amino acids level were identified using high performance liquid chromatography (HPLC). Statistical analysis ANOVA, Kruskal-Wallis, and nominal regression were used for the comparison of the investigated groups.
Results: significant differences were seen in serum levels of 8 essential, branched-chains, aromatic and 8 non-essential amino acids alanine, aspartic acid, serine, glutamine, arginine, glycine, tyrosine and ornithine between three groups. Serum levels of arginine and isoleucine were higher in the diabetic group than non-diabetics. However, Levels of amino acids serine, glutamine, glycine, threonine, tyrosine, tryptophan, methionine, valine, ornithine, and lysine in 2 groups of diabetic nephropathy and diabetes were higher than non-diabetic patients.
For every standard deviation decrease in serum levels of amino acids serine, alanine and isoleucine, in comparison to diabetic patients, the risk of diabetic nephropathy were increased 3.257 (95%CI: 0.10- 0.94, P=0.039), 2.207 (95%CI: 0.18- 0.81, P=0.039) and 2.652 (0.21- 0.96, P=0.012), respectively.
Conclusion: Since this study was conducted in patients in the early stages of the disease, reduced serum levels of the amino acids serine, leucine and alanine may be associated with development and progression of diabetic nephropathy. and in the future with more studies in this field can be used in metabolic control and improvement of the prognosis of patients with diabetic nephropathy.
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.
Esmail Shekari, Seyed Kianoosh Hosseini, Farideh Razi, Ensieh Nasli Esfahani, Mostafa Qorbani, Bagher Larijani,
Volume 19, Issue 4 (4-2020)
Abstract
Background: Diabetes mellitus is one of the most common endocrine diseases. Cardiovascular disease (CVD) is one of the leading causes of death in patients with type 2 diabetes. The aim of this study was to investigate the metabolic profile of plasma amino acids in diabetic patients with cardiovascular disease.
Methods: The present study is a descriptive-analytical cross-sectional study on 140 patients including 35 patients with type 2 diabetes and cardiovascular disease (CVD.DM), 35 patients with type 2 diabetes and non-cardiovascular disease (DM). 35 non-diabetic patients with cardiovascular disease (CVD.nDM) and 35 non-diabetic patients with non-cardiovascular disease (HS) were referred to Diabetes Clinic No. 1 of Tehran University of Medical Sciences.
Results: 76 (54.3%) were male and 64 (45.7%) were female. The highest concentrations of glutamine and isoleucine were observed in DM.CVD, asparagine, serine, arginine, threonine, alanine, tyrosine, valine in DM.nCVD and methionine in CVD.nDM. The lowest concentrations of tyrosine and tryptophan in DM.CVD has been detected , and methionine has been detected in DM.nCVD. The amino acids alanine, glutamine, tyrosine, valine, methionine, leucine, lysine and arginine significantly increased the chances of developing DM.nCVD. For each increase in Z-score per plasma concentration of isoleucine, the chances of developing cardiovascular disease without diabetes were significantly increased.
Conclusion: The amino acids alanine, glutamine, tyrosine, valine, methionine, leucine, lysine and arginine are involved in predicting the risk of DM.nCVD and isoleucine and methionine are involved in predicting the risk of CVD.nDM.
Shahnaz Esmaeili, Fatemeh Bandarian, Farideh Razi, Hossein Adibi, Ali Jalili, Babak Arjmand, Camelia Rambod, Ensieh Nasli-Esfahani, Bagher Larijani,
Volume 20, Issue 1 (25th Anniversary of the Foundation, Special Issue 2021)
Abstract
Background: Endocrinology and Metabolism Research Institute (EMRI) is one of the largest research institutes in Iran, which has been established to develop research strategies and manage endocrine and metabolic diseases such as diabetes. The purpose of this report is to review and summarize research activities related to diabetes over a quarter of a century at EMRI.
Methods: A comprehensive search of PubMed, Scopus and EMBASE was conducted to find diabetes-related studies in EMRI. After extracting the data, the articles were classified according to the type of article, the level of evidence, the types of diabetes and their subject.
Results: After eliminating duplicates and screening, finally 228 articles were classified. Most diabetes research conducted at the Diabetes Research Center (DRC) was on type 2 diabetes (37%). By article type, most of the articles were original. In addition, clinical studies provided the most evidence in the obtained documents. By topic, most of the articles were related to the basic sciences and factors related to diabetes, followed by studies on the management and prevention of diabetes.
Conclusion: Most of the research conducted in the Diabetes Research Center in the past quarter of a century is of original studies in the field of basic sciences in the field of type 2 diabetes and most of the evidence produced is related to observational studies.
