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Showing 2 results for Mohammad Abadi

Fahime Mohammad Abadi , Arezoo Mirfazeli , Hossein Zaeri , Mojgan Nejabat, Mahsa Taherizadeh, Mohammad Ariaie , Azadeh Aliarab, Hamidreza Joshaghani,
Volume 10, Issue 2 (Mar,Apr2016 2016)
Abstract

ABSTRACT

       Background and Objective: Measurement of amino acids is an important tool for metabolic studies and evaluation of patients’ clinical condition. The aim of this study was to analyze the plasma amino acids using reverse phase high performance liquid chromatography techniques (RP-HPLC) with pre-column derivatization by o-phthalaldehyde (OPA) in combination with 3- mercaptopropionic acid (3-MPA).

       Methods: Overall, 107 neonates and babies suspected of having metabolic disorder were enrolled in this study. The level of amino acids in plasma samples was analyzed within 65 minutes by HPLC with pre-column derivatization by OPA/3-MPA. This was a gradient RP-HPLC method that was performed using two solvents with a ratio of methanol and sodium acetate. L-norvaline internal standard was used as the reference peak for amino acids. Standard mixture of amino acids was used to determine the concentrations of amino acids.

        Results: According to the values of coefficient of variation obtained for each amino acid, the results indicated a good chromatographic separation of amino acids by this method. The use of OPA/3-MPA derivative reagent increased the efficiency and resolution of amino acids chromatographic separation.

      Conclusion: Due to simple preparation and accurate assessment, determination of plasma amino acids using OPA/3-MPA derivatives and RP-HPLC is a suitable method in many clinical samples.


Esmaeil Samadian, Ayyoob Khosravi , Roghaye Gharae, Mostafa Mir, Seyed Ahmad Sajjadi , Fahimeh Mohammad Abadi, Nader Hashemi, Sahar Alijanpour, Hamid Reza Joshaghani,
Volume 10, Issue 3 (May-Jun 2016 2016)
Abstract

ABSTRACT

          Background and Objective: Genetic variations in the gene encoding endothelial nitric oxide synthase (eNOS) enzyme affect the susceptibility to cardiovascular disease. Identification of the way these changes affect eNOS structure and function in laboratory conditions is difficult and time-consuming. Thus, it seems essential to perform bioinformatics studies prior to laboratory studies to find  the variants that are more important. This study aimed to predict the damaging effect of changes in the coding region of eNOS using homology- and structure-based algorithms (SIFT and PolyPhen).

           Methods: First, the single nucleotide polymorphisms in the coding region (cSNPs) of the human eNOS gene were extracted from dbSNP. Resulting amino acid changes were reported as primary data required for the study. Then, position and type of amino acid changes along with the complete amino acid sequence were separately entered into the SIFT and PolyPhen tools for analysis.

         Results: Of 144 single nucleotide changes, 38 changes by the SIFT, 47 changes by the PolyPhen and 18 amino acid substitutions by both tools were predicted as damaging.

          Conclusion: It is predicted that 18 amino acid changes may have damaging phenotypic effects on the structure of the eNOS enzyme that may affect its performance by potentially affecting the enzyme’s various functional regions. Therefore, computational prediction of potentially damaging nsSNPs and prioritizing amino acid changes may be useful for investigating protein performance using targeted re-sequencing and gene mutagenesis experiments.

        



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