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Showing 2 results for Amino Acid

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.
Mehdi Changizi, Rozita Fathi, Rostam Ali Zadeh, Seyed Mohsen Avandi, Ali Khaleghian,
Volume 24, Issue 6 (2-2025)
Abstract

Background: Obesity is known to have metabolic complications including insulin resistance (IR) and metabolic disorder. The aim of this study was to compare the effect of two traditional 12-week circular resistance training methods on the levels of branched and aromatic amino acids and insulin resistance of overweight and obese men.
Methods: The current research method is of the clinical trial type, with Thirty-three overweight and obese men with mean and standard deviation of age, weight and body mass index were 17.7±0.13 years, 92±2.45 kg and 30.70±32 1.32 kg / m2, respectively. They were selected and randomly divided into three groups: circular resistance training (n= 11), traditional resistance training (n= 11) and control (n= 11). The training program consisted of two traditional resistance training protocols and 12-week wave circuits that were exactly the same volume; Which was run three times a week. Blood sampling was performed 48 hours before and after the training protocol and after 8 hours of fasting. HPLC was used to measure serum levels of amino acids.
Results: The results of analysis of variance in the groups showed that circuit training more than 2 times compared to traditional training reduces total BCAAs (35.9 vs. 15.5%) and AAAs in serum (19.5 vs. 9%) and equally the level of insulin resistance. (23 and 26.7 percent, respectively) reduced the door in overweight and obese young men.
Conclusion: The results of this study showed that the level of changes in circular resistance training was higher than traditional. Circular resistance training may be able to prevent obesity-related metabolic disorders.

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