Loading...
Search for: cholesterol
0.008 seconds

    Milk cholesterol reduction using immobilized Lactobacillus acidophilus ATCC1643 in sodium-alginate

    , Article International Journal of Food Engineering ; Volume 4, Issue 8 , 2008 ; 15563758 (ISSN) Serajzadeh, S ; Alemzadeh, I ; Sharif University of Technology
    Walter de Gruyter GmbH  2008
    Abstract
    Lactobacillus acidophilus is one of the major microorganisms which are famous for their effects on cholesterol. In this study, we have investigated the effect of L. acidophilus ATCC 1643 on removing the milk cholesterol and additionally, we have immobilized L. acidophilus ATCC1643 cells in sodium-alginate and observed its effect on milk cholesterol removing. Also, we have researched about the effect of some factors including: bacteria cells number (both free and immobilized cells) and immobilized cells bead size on cholesterol removing rate and ultimately the extracted results were compared together. The results indicated that free cells could reduce cholesterol to lower than 0.5mg/100ml... 

    A machine learning framework for predicting entrapment efficiency in niosomal particles

    , Article International Journal of Pharmaceutics ; Volume 627 , 2022 ; 03785173 (ISSN) Kashani Asadi Jafari, F ; Aftab, A ; Ghaemmaghami, S ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Niosomes are vesicles formed mostly by nonionic surfactant and cholesterol incorporation as an excipient. The drug entrapment efficiency of niosomal vesicles is particularly important and depends on many parameters. Changing the effective parameters to have maximum entrapment efficiency in the laboratory is time-consuming and costly. In this study, a machine learning framework was proposed to address these problems. In order to find the most critical parameter affecting the entrapment efficiency and its optimal value in a specific experiment, data were first extracted from articles of the last decade using keywords of niosome and thin-film hydration method. Then, deep neural network (DNN),... 

    Disease-related metabolites affect protein-nanoparticle interactions

    , Article Nanoscale ; Volume 10, Issue 15 , 2018 , Pages 7108-7115 ; 20403364 (ISSN) Tavakol, M ; Montazeri, A ; Naghdabadi, R ; Hajipour, M. J ; Zanganeh, S ; Caracciolo, G ; Mahmoudi, M ; Sharif University of Technology
    Royal Society of Chemistry  2018
    Abstract
    Once in biological fluids, the surface of nanoparticles (NPs) is rapidly covered with a layer of biomolecules (i.e., the "protein corona") whose composition strongly determines their biological identity, regulates interactions with biological entities including cells and the immune system, and consequently directs the biological fate and pharmacokinetics of nanoparticles. We recently introduced the concept of a "personalized protein corona" which refers to the formation of different biological identities of the exact same type of NP after being exposed to extract plasmas from individuals who have various types of diseases. As different diseases have distinct metabolomic profiles and... 

    Thermal conductivity of the cell membrane in the presence of cholesterol and amyloid precursor protein

    , Article Physical Review E ; Volume 102, Issue 4 , 2020 Rafieiolhosseini, N ; Ejtehadi, M. R ; Sharif University of Technology
    American Physical Society  2020
    Abstract
    The cell membrane is responsible for the transportation of heat between inside and outside the cell. Whether the thermal properties of the cell membrane are affected by the cholesterol concentration or the membrane proteins has not been investigated so far. Although the experimental measurement of the membrane thermal conductivity was not available until very recently, computational methods have been widely used for this purpose. In this study, we carry out molecular dynamics simulations to investigate the relation between the concentration of cholesterol and the thermal conductivity of a model membrane. Our results suggest an increase in the membrane thermal conductivity upon increasing the... 

    A fuzzy expert system for prescribing atorvastatin optimum dose

    , Article Koomesh ; Volume 13, Issue 1 , 2011 , Pages 43-50 ; 16087046 (ISSN) DoostHoseini, E ; Hassanpour Ezatti, M ; Navidi, H ; Abachi, T ; Sharif University of Technology
    2011
    Abstract
    Introduction: Today, Fuzzy expert systems have helped physicians in cases of uncertainty in medical decision making for prescribing drugs. Narrowing of coronary heart and reduction in heart blood flow are important causes of coronary heart disease (CHD). Control of blood lipid level is a routine treatment in CHD patients. But damage to liver is a common side effect of lipid lowering drug medication. Measurement of plasma Alanine aminotransferase level is considered as a marker of liver damage. The aim of this study was to determination of optimal dose of atorvastatin using Fuzzy expert system. Materials and Methods: in this study, Fuzzy expert system based on drug dose determination was... 

    The metabolome profiling of obese and non-obese individuals: Metabolically healthy obese and unhealthy non-obese paradox

    , Article Iranian Journal of Basic Medical Sciences ; Volume 23, Issue 2 , 2020 , Pages 186-194 Chashmniam, S ; Madani, N. H ; Ghoochani, B. F. N. M ; Safari Alighiarloo, N ; Khamseh, M. E ; Sharif University of Technology
    Mashhad University of Medical Sciences  2020
    Abstract
    Objective(s): The molecular basis of “metabolically healthy obese” and “metabolically unhealthy non-obese” phenotypes is not fully understood. Our objective was to identify metabolite patterns differing in obese (metabolically healthy vs unhealthy (MHO vs MUHO)) and non-obese (metabolically healthy vs unhealthy (MHNO vs MUHNO)) individuals. Materials and Methods: This case-control study was performed on 86 subjects stratified into four groups using anthropometric and clinical measurements: MHO (21), MUHO (21), MHNO (22), and MUHNO (22). Serum metabolites were profiled using nuclear magnetic resonance (NMR). Multivariate analysis was applied to uncover discriminant metabolites, and enrichment... 

    Classification of vascular function in upper limb using bilateral photoplethysmographic signals

    , Article Physiological Measurement ; Volume 29, Issue 3 , 2008 , Pages 365-374 ; 09673334 (ISSN) Hesam Shariati, N ; Zahedi, E ; Jajai, H. M ; Sharif University of Technology
    2008
    Abstract
    Bilateral PPG signals have been used for comparative study of two groups of healthy (free from any cardiovascular risk factors) and diabetic (as cardiovascular disease risk group) subjects in the age-matched range 40-50 years. The peripheral blood pulsations were recorded simultaneously from right and left index fingers for 90 s. Pulses have been modeled with the ARX440 model in the interval of 300 sample points with 100 sample points overlap between segments. Model parameters of three segments based on the highest fitness (higher than 80%) of modeled segments were retained for each subject. Subsequently, principal component analysis (PCA) was applied to the parameters of retained segments... 

    A metabonomics study on crohn's disease using nuclear magnetic resonance spectroscopy

    , Article HealthMED ; Volume 6, Issue 11 , July , 2012 , Pages 3577-3583 ; 18402291 (ISSN) Fathi, F ; Kyani, A ; Nejad, M. R ; Rezaye Tavirani, M ; Naderi, N ; Zali, M. R ; Tafazzoli, M ; Oskouie, A. A ; Sharif University of Technology
    2012
    Abstract
    Objective: Crohn's disease (CD) is one the important illnesses can affect any part of the gastrointestinal tract. CD is not easily diagnosed using the clinical tests. Thus, the discovery of proper methods would be a major step towards CD diagnosis. The aim of this study was to seek the metabolic biomarkers causes of CD compare to control group. Materials and Methods: In present study, we employed metabolic profiling using proton nuclear magnetic resonance spectroscopy (1HNMR) to find metabolites in serum which are helpful for the diagnosis of CD. Classification of CD and healthy subject was done using classification and regression trees (CART). The metabolites that caused changes in people... 

    Optimized doxycycline-loaded niosomal formulation for treatment of infection-associated prostate cancer: An in-vitro investigation

    , Article Journal of Drug Delivery Science and Technology ; Volume 57 , 2020 Akbarzadeh, I ; Tavakkoli Yaraki, M ; Bourbour, M ; Noorbazargan, H ; Lajevardi, A ; Sadat Shilsar, S. M ; Heidari, F ; Mousavian, S. M ; Sharif University of Technology
    Editions de Sante  2020
    Abstract
    Developing drug delivery systems with both antibacterial and anti-cancer effects is of importance in the treatment process of infection-associated cancers, especially prostate cancer. In this study, Span 60, Tween 60, and cholesterol were used to formulate doxycycline-loaded niosomes as a promising drug carrier system as either antibacterial or anticancer formulation. The formulation process was optimized by multi-objective response surface methodology (RSM), and then characterized. The developed niosomal formulation showed great storage stability for up to 2 weeks. In addition, they showed remarkable drug release in acidic solution (pH = 3) compared with physiological pH (7.4). The in-vitro... 

    Metabolomics diagnostic approach to mustard airway diseases: A preliminary study

    , Article Iranian Journal of Basic Medical Sciences ; Volume 21, Issue 1 , 2018 , Pages 59-69 ; 20083866 (ISSN) Nobakht Mothlagh Ghoochani, B. F ; Aliannejad, R ; Oskouie, A. A ; Tavirani, M. R ; Kalantari, S ; Naseri, M. T ; Baghban, A. A ; Parastar, H ; Aliakbarzadeh, G ; Sharif University of Technology
    Mashhad University of Medical Sciences  2018
    Abstract
    Objective(s): This study aims to evaluate combined proton nuclear magnetic resonance (1H NMR) spectroscopy and gas chromatography-mass spectrometry (GC-MS) metabolic profiling approaches, for discriminating between mustard airway diseases (MADs) and healthy controls and for providing biochemical information on this disease. Materials and Methods: In the present study, analysis of serum samples collected from 17 MAD subjects and 12 healthy controls was performed using NMR. Of these subjects, 14 (8 patients and 6 controls) were analyzed by GC-MS. Then, their spectral profiles were subjected to principal component analysis (PCA) and orthogonal partial least squares regression discriminant... 

    A noninvasive urine metabolome panel as potential biomarkers for diagnosis of t cell-mediated renal transplant rejection

    , Article OMICS A Journal of Integrative Biology ; Volume 24, Issue 3 , March , 2020 , Pages 140-147 Kalantari, S ; Chashmniam, S ; Nafar, M ; Samavat, S ; Rezaie, D ; Dalili, N ; Sharif University of Technology
    Mary Ann Liebert Inc  2020
    Abstract
    Acute T cell-mediated rejection (TCMR)is a major complication after renal transplantation. TCMR diagnosis is very challenging and currently depends on invasive renal biopsy and nonspecific markers such as serum creatinine. A noninvasive metabolomics panel could allow early diagnosis and improved accuracy and specificity. We report, in this study, on urine metabolome changes in renal transplant recipients diagnosed with TCMR, with a view to future metabolomics-based diagnostics in transplant medicine. We performed urine metabolomic analyses in three study groups: (1) 7 kidney transplant recipients with acute TCMR, (2) 15 kidney transplant recipients without rejection but with impaired kidney... 

    Optimization, physicochemical characterization, and antimicrobial activity of a novel simvastatin nano-niosomal gel against E. coli and S. aureus

    , Article Chemistry and Physics of Lipids ; Volume 234 , 2021 ; 00093084 (ISSN) Akbarzadeh, I ; Keramati, M ; Azadi, A ; Afzali, E ; Shahbazi, R ; chiani, M ; Norouzian, D ; Bakhshandeh, H ; Sharif University of Technology
    Elsevier Ireland Ltd  2021
    Abstract
    Niosomes, as a kind of drug delivery system, is widely used for the topical delivery of lipophilic drugs. Optimization of niosomes plays an essential role in enhancing their therapeutic efficiencies. This study aims to prepare an optimized niosomal formulation of simvastatin (nSIM), a lipophilic member of statins, through the experiment (Response Surface methodology). Optimized niosomes were characterized in size, polydispersity index (PDI), entrapment efficiency (EE), stability, releasing pattern, and antimicrobial activity. The different molar ratio of surfactant and cholesterol were applied to prepare various formulation of simvastatin loaded niosome. Mean particle size and size... 

    Optimization, physicochemical characterization, and antimicrobial activity of a novel simvastatin nano-niosomal gel against E. coli and S. aureus

    , Article Chemistry and Physics of Lipids ; Volume 234 , 2021 ; 00093084 (ISSN) Akbarzadeh, I ; Keramati, M ; Azadi, A ; Afzali, E ; Shahbazi, R ; chiani, M ; Norouzian, D ; Bakhshandeh, H ; Sharif University of Technology
    Elsevier Ireland Ltd  2021
    Abstract
    Niosomes, as a kind of drug delivery system, is widely used for the topical delivery of lipophilic drugs. Optimization of niosomes plays an essential role in enhancing their therapeutic efficiencies. This study aims to prepare an optimized niosomal formulation of simvastatin (nSIM), a lipophilic member of statins, through the experiment (Response Surface methodology). Optimized niosomes were characterized in size, polydispersity index (PDI), entrapment efficiency (EE), stability, releasing pattern, and antimicrobial activity. The different molar ratio of surfactant and cholesterol were applied to prepare various formulation of simvastatin loaded niosome. Mean particle size and size... 

    A novel niosome formulation for encapsulation of anthocyanins and modelling intestinal transport

    , Article Food Chemistry ; Volume 293 , 2019 , Pages 57-65 ; 03088146 (ISSN) Fidan Yardimci, M ; Akay, S ; Sharifi, F ; Sevimli Gur, C ; Ongen, G ; Yesil Celiktas, O ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The bioavailability of drugs can be improved by regulating the structural properties, particularly lipoid systems, such as niosomes, can increase cellular uptake. Herein, we optimized double emulsion and niosomal formulations for encapsulating anthocyanin-rich black carrot extract. Nanoparticles obtained by selected formulation were characterized in terms of morphology, particle size, drug encapsulation efficiency, in vitro release and cytotoxicity. The optimum conditions for niosomal formulation were elicited as 30 mg of cholesterol, 150 mg of Tween 20 and feeding time of 1 min at a stirring rate of 900 rpm yielding the lowest average particle size of 130 nm. In vitro release data showed...