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    Carbon dioxide: A waste product in the catalytic cycle of α-ketoglutarate dependent halogenases prevents the formation of hydroxylated by-products

    , Article Journal of Physical Chemistry B ; Volume 113, Issue 1 , 2009 , Pages 12-14 ; 15206106 (ISSN) De Visser, S. P ; Latifi, R ; Sharif University of Technology
    American Chemical Society  2009
    We present the first density functional theory study on α-ketoglutarate dependent halogenase and focus on the mechanism starting from the iron(IV)-oxo species. The studies show that the high-valent iron(IV)-oxo species reacts with substrates via an initial and rate determining hydrogen abstraction that is characterized by a large kinetic isotope effect (KIE) of 26.7 leading to a radical intermediate. This KIE value is in good agreement with experimental data. The reaction proceeds via two-state reactivity patterns on competing quintet and septet spin state surfaces with close lying hydrogen abstraction barriers. However the septet spin radical intermediate gives very high barriers for... 

    A pilot study of the effect of phospholipid curcumin on serum metabolomic profile in patients with non-alcoholic fatty liver disease: a randomized, double-blind, placebo-controlled trial

    , Article European Journal of Clinical Nutrition ; Volume 73, Issue 9 , 2019 , Pages 1224-1235 ; 09543007 (ISSN) Chashmniam, S ; Mirhafez, S. R ; Dehabeh, M ; Hariri, M ; Azimi Nezhad, M ; Nobakht M. Gh, B. F ; Sharif University of Technology
    Nature Publishing Group  2019
    Background/Objectives: Curcumin, a natural polyphenol compound in the spice turmeric, has been found to have potent anti-oxidative and anti-inflammatory activity. Curcumin may treat non-alcoholic fatty liver disease (NAFLD) through its beneficial effects on biomarkers of oxidative stress (OS) and inflammation, which are considered as two feature of this disease. However, the effects of curcumin on NAFLD have been remained poorly understood. This investigation evaluated the effects of administrating curcumin on metabolic status in NAFLD patients. Subjects/Methods: Fifty-eight NAFLD patients participated in a randomized, double-blind, placebo-controlled parallel design of study. The subjects... 

    Metabolomic biomarkers in the diagnosis of non-alcoholic fatty liver disease

    , Article Hepatitis Monthly ; Volume 19, Issue 9 , 2019 ; 1735143X (ISSN) Chashmniam, S ; Ghafourpour, M ; Rezaei Farimani, A ; Gholami, A ; Nobakht Motlagh Ghoochani, B. F ; Sharif University of Technology
    Kowsar Medical Publishing Company  2019
    Background: Nonalcoholic fatty liver disease (NAFLD) is the most abundant chronic liver disorder, because racial and ethnic differences may influence prevalence and severity of NAFLD. Objectives: This metabolomic study was conducted to identify the metabolic biomarkers and determine the mechanism of progress of NAFLD in Iranian patients. Methods: Serum samples were collected from 75 participants (37 healthy controls and 38 patients with NAFLD) after an overnight fast. The metabolome of all samples were determined by nuclear magnetic resonance (NMR) and were compared by multivariate statistical analysis. Results: Totally, 19 metabolomic biomarkers were identified by NMR. Compared to healthy... 

    Quantitative structure - Mobility relationship study of a diverse set of organic acids using classification and regression trees and adaptive neuro-fuzzy inference systems

    , Article Electrophoresis ; Volume 29, Issue 2 , 2008 , Pages 363-374 ; 01730835 (ISSN) Jalali Heravi, M ; Shahbazikhah, P ; Sharif University of Technology
    A quantitative structure-mobility relationship was developed to accurately predict the electrophoretic mobility of organic acids. The absolute electrophoretic mobilities (μ0) of a diverse dataset consisting of 115 carboxylic and sulfonic acids were investigated. A set of 1195 zero- to three-dimensional descriptors representing various structural characteristics was calculated for each molecule in the dataset. Classification and regression trees were successfully used as a descriptor selection method. Four descriptors were selected and used as inputs for adaptive neuro-fuzzy inference system. The root mean square errors for the calibration and prediction sets are 1.61 and 2.27, respectively,...