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    A metabonomics investigation of multiple sclerosis by nuclear magnetic resonance

    , Article Magnetic Resonance in Chemistry ; Volume 51, Issue 2 , DEC , 2013 , Pages 102-109 ; 07491581 (ISSN) Mehrpour, M ; Kyani, A ; Tafazzoli, M ; Fathi, F ; Joghataie, M. T ; Sharif University of Technology
    2013
    Abstract
    Multiple sclerosis (MS) is a nervous system disease that affects the fatty myelin sheaths around the axons of the brain and spinal cord, leading to demyelination and a broad range of signs and symptoms. MS can be difficult to diagnose because its signs and symptoms may be similar to other medical problems. To find out which metabolites in serum are effective for the diagnosis of MS, we utilized metabolic profiling using proton nuclear magnetic resonance spectroscopy (1H-NMR). Random forest (RF) was used to classify the MS patients and healthy subjects. Atomic absorption spectroscopy was used to measure the serum levels of selenium. The results showed that the levels of selenium were lower in... 

    Quantitative prediction of 13C NMR chemical shifts in solvent using PCM-ONIOM method and optimally selected wave function

    , Article Concepts in Magnetic Resonance Part A: Bridging Education and Research ; Volume 42 A, Issue 1 , FEB , 2013 , Pages 1-13 ; 15466086 (ISSN) Shaghaghi, H ; Fathi, F ; Ebrahimi, H. P ; Tafazzoli, M ; Sharif University of Technology
    2013
    Abstract
    The wave functions for calculating 13C nuclear magnetic chemical shifts of 22 groups of organic compounds (64 molecules) in chloroform solution have been optimally selected using factorial design as a multivariate technique. Our own N-layered integrated molecular orbital and molecular mechanics approach was applied for molecules with different types of carbons. The results have obtained in very good agreement with the experimental values. An additional series (58 molecules) have been used as test sets and their results confirm the validity and reliability of the approaches. The total root mean square deviation and correlation coefficient of predictions (433 carbons) are 1.88 and .9994,... 

    NMR spectroscopy-based metabolomic study of serum in sulfur mustard exposed patients with lung disease

    , Article Biomarkers ; 2016 , Pages 1-7 ; 1354750X (ISSN) Nobakht M. Gh., B. F ; Arefi Oskouie, A ; Rezaei Tavirani, M ; Aliannejad, R ; Taheri, S ; Fathi, F ; Naseri, M. T ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    Sulfur mustard (SM) is a vesication chemical warfare agent for which there is currently no antidote. Despite years of research, there is no common consensus about the pathophysiological basis of chronic pulmonary disease caused by this chemical warfare agent. In this study, we combined chemometric techniques with nuclear magnetic resonance (NMR) spectroscopy to explore the metabolic profile of sera from SM-exposed patients. A total of 29 serum samples obtained from 17 SM-injured patients, and 12 healthy controls were analyzed by Random Forest. Increased concentrations of seven amino acids, glycerol, dimethylamine, ketone bodies, lactate, acetate, citrulline and creatine together with the... 

    A simple graphical approach to predict local residue conformation using NMR chemical shifts and density functional theory

    , Article Journal of Computational Chemistry ; Volume 37, Issue 14 , 2016 , Pages 1296-1305 ; 01928651 (ISSN) Shaghaghi, H ; Ebrahimi, H. P ; Fathi, F ; Bahrami Panah, N ; Jalali Heravi, M ; Tafazzoli, M ; Sharif University of Technology
    John Wiley and Sons Inc  2016
    Abstract
    The dependency of amino acid chemical shifts on φ and ψ torsion angle is, independently, studied using a five-residue fragment of ubiquitin and ONIOM(DFT:HF) approach. The variation of absolute deviation of 13Cα chemical shifts relative to φ dihedral angle is specifically dependent on secondary structure of protein not on amino acid type and fragment sequence. This dependency is observed neither on any of 13Cβ, and 1Hα chemical shifts nor on the variation of absolute deviation of 13Cα chemical shifts relative to ψ dihedral angle. The 13Cα absolute deviation chemical shifts (ADCC) plots are found as a suitable and simple tool to predict secondary structure of protein with no requirement of... 

    Nuclear magnetic resonance -based metabolomics analysis of patients exposed to sulfur mustard in different stages using random forest method

    , Article Koomesh ; Volume 17, Issue 3 , 2016 , Pages 701-706 ; 16087046 (ISSN) Nobakht M. Gh., B. F ; Aliannejad, R ; Oskouie, A. A ; Fathi, F ; Sahakhah, H. A ; Rezaei Tavirani, M ; Sharif University of Technology
    Semnan University of Medical Sciences 
    Abstract
    Metabolomics is a powerful technique for determination of biomarkers. Here, we aimed to determine discriminatory metabolomic profiles in different stages of sulfur mustard-exposed patients (SMEPs). Materials and methods: Nuclear magnetic resonance spectroscopy was used to analyze serum samples from 17 SMEPs (normal group patients) and 17 SMEPs (severe group patients). Multivariate statistical analysis using random forest (RF) was performed on a ‘training set’ (70% of the total sample) in order to produce a discriminatory model classifying two groups of patients, and the model tested in the remaining subjects. Results: A classification model was derived using data from the training set with... 

    NMR spectroscopy-based metabolomic study of serum in sulfur mustard exposed patients with lung disease

    , Article Biomarkers ; Volume 22, Issue 5 , 2017 , Pages 413-419 ; 1354750X (ISSN) Nobakht, B.F., M. Gh ; Arefi Oskouie, A ; Rezaei Tavirani, M ; Aliannejad, R ; Taheri, S ; Fathi, F ; Naseri, M. T ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Abstract
    Sulfur mustard (SM) is a vesication chemical warfare agent for which there is currently no antidote. Despite years of research, there is no common consensus about the pathophysiological basis of chronic pulmonary disease caused by this chemical warfare agent. In this study, we combined chemometric techniques with nuclear magnetic resonance (NMR) spectroscopy to explore the metabolic profile of sera from SM-exposed patients. A total of 29 serum samples obtained from 17 SM-injured patients, and 12 healthy controls were analyzed by Random Forest. Increased concentrations of seven amino acids, glycerol, dimethylamine, ketone bodies, lactate, acetate, citrulline and creatine together with the... 

    Advantage of applying OSC to 1H NMR-based metabonomic data of celiac disease

    , Article International Journal of Endocrinology and Metabolism ; Volume 10, Issue 3 , 2012 , Pages 548-552 ; 1726913X (ISSN) Rezaei Tavirani, M ; Fathi, F ; Darvizeh, F ; Zali, M. R ; Nejad, M. R ; Rostami, K ; Tafazzoli, M ; oskouie, A. A ; Mortazavi Tabatabaei, S. A ; Sharif University of Technology
    2012
    Abstract
    Background: Celiac disease (CD) is a disorder associated with body reaction to gluten. After the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually. Objectives: The OSC, a filtering method for minimization of inter- and intra-spectrom-eter variations that influence on data acquisition, was applied to biofluid NMR data of CD patients. Patients and Methods: In this study, metabolites of total 56 serum samples from 12 CD patients, 15 CD patients taking gluten-free diet (GFD), and 29 healthy cases were analyzed using nuclear magnetic resonance (NMR) and associated theoretical analysis. Employ-ing ProMetab (version... 

    NMR- and GC/MS-based metabolomics of sulfur mustard exposed individuals: a pilot study

    , Article Biomarkers ; Volume 21, Issue 6 , 2016 , Pages 479-489 ; 1354750X (ISSN) Nobakht, B. F ; Aliannejad, R ; Rezaei Tavirani, M ; Arefi Oskouie, A ; Naseri, M. T ; Parastar, H ; Aliakbarzadeh, G ; Fathi, F ; Taheri, S ; Sharif University of Technology
    Taylor and Francis Ltd 
    Abstract
    Sulfur Mustard (SM) is a potent alkylating agent and its effects on cells and tissues are varied and complex. Due to limitations in the diagnostics of sulfur mustard exposed individuals (SMEIs) by noninvasive approaches, there is a great necessity to develop novel techniques and biomarkers for this condition. We present here the first nuclear magnetic resonance (NMR) and gas chromatography-mass spectrometry (GC/MS) metabolic profiling of serum from and healthy controls to identify novel biomarkers in blood serum for better diagnostics. Of note, SMEIs were exposed to SM 30 years ago and that differences between two groups could still be found. Pathways in which differences between SMEIs and...