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Total 42 records

    Biosensor Fabrication for Fast Detection of Stroke Biomarkers

    , Ph.D. Dissertation Sharif University of Technology Shabani, Ehsan (Author) ; Mousavi, Abbas (Supervisor) ; Abdekhodaie, Mohammad Jafar (Co-Supervisor)
    Abstract
    Stroke is the second most frequent cause of death and the leading cause of disability in the world. Some effective drugs have been developed for ischemic stroke, while the golden time of use is three hours. Therefore, if stroke is diagnosed quickly, its side effects can be greatly avoided. However, it is not possible to use conventional diagnostic methods in many cases at a short time. In this work, S100β, MMP-9 and D-Dimer biomarkers were selected for rapid diagnosis of stroke based on previous studies.For this purpose, electrochemical immunosensors were developed with advantages such as low cost, ease of use, the possibility to automating the device, suitable sensitivity, reproducibility,... 

    A Systematic Approach for Biomarker Identification in Autism Spectrum Disorder based on Machine learning

    , M.Sc. Thesis Sharif University of Technology Ashraf Talesh, Mahdi (Author) ; Jafari Siavoshani, Mahdi (Supervisor) ; Kavousi, Kaveh (Co-Supervisor) ; Ohadi, Mina (Co-Supervisor)
    Abstract
    Autism spectrum disorder (ASD) is a strong genetic perturbation that encompasses a wide range of clinical symptoms, including functional at different regions of the brain, repetitive behaviors, and interests, weaknesses in social relationships, some sensitivities to environmental factors and etc. Genetic complexity and the impact of environmental factors put the disease in the category of Level 1 complex developmental disorders.We proposed a pilot, combined, and highly effective structure to identify biomarkers in the autism spectrum disorder that could be extended to other diseases that have a similar genetic architecture with autism. We also develop a Gene-tissue interaction network to... 

    Exploring Pivot Genes and Clinical Prognosis Using Combined Bioinformatics Approaches in the Colon Cancer

    , M.Sc. Thesis Sharif University of Technology Vazirimoghadam, Ayoub (Author) ; Foroughmand Araabi, Mohammad Hadi (Supervisor)
    Abstract
    Colorectal cancer (CRC) is one of the most common cause of cancer death worldwide. Identification of pivot genes in colorectal cancer can play an important role as biomarkers in predicting and early diagnosis and reducing the number of deaths caused by this disease. In this study, the aim of which is to discover pivot genes in colorectal cancer, six microarray datasets selected from the GEO database including 277 tumor tissue samples and 325 normal colon tissue samples. After data processing, differentially expressed genes and CRC-related genes were screened and 285 shared genes between them were identified for subsequent analysis. Based on 285 shared genes, the protein-protein interaction... 

    Application of Fourier Transform Infrared (FTIR) Spectroscopy of Biofluids in Disease Diagnosis

    , M.Sc. Thesis Sharif University of Technology Ganji, Mohammad (Author) ; Nejat, Hossein (Supervisor) ; Meghdari, Ali (Supervisor) ; Beigzadeh, Borhan (Co-Advisor)
    Abstract
    The ability to diagnose a disease rapidly, non-invasively, with high confidence level and low cost can be of great importance in many ways such as 'detection and on-time conduction of remedial strategies. Hence It can reduce fatality rate and costs in the hygiene field. Currently some pathological diagnosis methods are not suitable considering their precision and costs and in addition to that, most of them are single-function and are developed for diagnosis of a particular disease and don't perform well in the case of multiple disease factors. Many diseases are caused by metabolic disorders and thus direct study of metabolic factors can provide us with a lot of evidence on the disease. One... 

    Cancer Prediction Using cfDNA Methylation Patterns With Deep Learning Approach

    , M.Sc. Thesis Sharif University of Technology Mahdavi, Fatemeh (Author) ; Soleymani Baghshah, Mahdieh (Supervisor)
    Abstract
    Liquid biopsy includes information about the progress of the tumor, the effectiveness of the treatment and the possibility of tumor metastasis. This type of biopsy obtains this information by doing diagnosis and enumerating genetic variations in cells and cell-free DNA (cfDNA). Only a small fraction of cfDNA which might be free circulation tumor DNA (ctDNA) fragments, has mutations and is usually identified by epigenetic variations. On the other hand, the use of liquid biopsy has decreased, and tumors in the final stages are often untreatable due to the low accuracy in prediction of cancer. In this research, the aim is to predict cancer using cfDNA methylation patterns. We obtain these... 

    Polyhedral Oligomeric Silsesquioxanes based Materials as Sorbent and Sensor

    , Ph.D. Dissertation Sharif University of Technology Soufi, Gohar (Author) ; Bagheri, Habib (Supervisor) ; Jamali, Sirous (Supervisor)
    Abstract
    The main approach in this thesis is the synthesis and identification of polyhedral oligomeric silsesquisans (POSS) and their modification with suitable functional groups to induce desired properties and use them as adsorbents or sensor. In the first work, POSSs were used as three-dimensional porous compounds with special properties as extractant phase in solid phase croextraction. Selective extraction of polar and non-polar molecules to particle size and functional groups on POSS. In this research, a threedimensional network of POSS including naphthalene diimide (POSS-NDI) and perylene diimide (POSS-PDI) as an extractant phase capable of absorbing volatile organic compounds was used to... 

    Design and Fabrication of Microfluidic Biosensors based on Modified Electrospun Nanofibrous Membranes for Biomarkers Detection

    , Ph.D. Dissertation Sharif University of Technology Mahmoudifard, Matin (Author) ; Vosoughi, Manuchehr (Supervisor) ; Soleimani, Masoud (Supervisor) ; Soudi, Sara (Supervisor)
    Abstract
    The accurate assessment of biomarkers likes proteins, hormones or other biomolecules that amount of them changes with state of disease or level of treatment and gives diagnostic information is a difficult duty. In these samples, pathogens exist in small quantity compared to other background molecules. Therefore, appropriate sampling process for concentrating and separating pathogens from the matrix should be developed in order to provide rapid and accurate pathogen detection test. In this thesis design and fabrication of microfluidic biosensors based on the modified nanofibrous membranes were investigated and explained. PES nanofibrous membrane with carboxyl functional groups for covalent... 

    Design and Development of Electrochemical DNA Nanobiosensors for Identification and Determination of Important Biomarkers

    , Ph.D. Dissertation Sharif University of Technology Salimian, Razieh (Author) ; Shahrokhian, Saeed (Supervisor) ; Kalhor, Hamid Reza (Co-Supervisor)
    Abstract
    The main purpose of this Ph.D. Thesis is to develop DNA-based biosensors using Label-free approaches applying simple, inexpensive and fast electrochemical techniques to measure the biological markers of cancer.In the first part, a simple protocol for detection of specific-sequence DNA is introduced. In this method carbon nanotube is used as a hybridization indicator. This label-free system provides the advantage of eliminating additional labeling procedure. As the signal enhances in the presence of MWCNT and decreases in the presence of target, the fabricated sensor is known as a signal-off device. The oxidation signal of Fe(CN)63-/4- is followed as an analytical signal to detect target... 

    Identifying Gene Expression Patterns in Memory T Cell Development

    , M.Sc. Thesis Sharif University of Technology Nazer Kakhki, Naghmeh Sadat (Author) ; Mohammadzadeh, Hoda (Supervisor) ; Hossein Khalaj, Babak (Supervisor) ; Basiri, Mohsen (Co-Supervisor)
    Abstract
    T lymphocytes or T cells are a type of white blood cell that play an important role in the immune system. Memory T cells are a subset of them that are able to reactivate when being re-exposed to the pathogen. Because of the properties of these cells, they are an attractive choice for immunotherapy. Initial memory subgroups were shown to be more persistently effective in immunotherapies. However little is known about development and differentiation of these subgroups. With the discovery of a new subset of T cells, called T memory stem cells (TSCM), They are considered to develop through four stages, naive T cells (TN), T memory stem cells (TSCM), central memory T cells (TCM) and effector... 

    Fabrication of a Centrifugal Microfluidic System for Cell-free DNA Isolation from whole Blood as a Biomarker

    , M.Sc. Thesis Sharif University of Technology Hatami, Ali (Author) ; Saadatmand, Maryam (Supervisor) ; Garshasbi, Masoud (Co-Supervisor)
    Abstract
    Today, medical science has come to the conclusion that the best time to start treating a disease is in its early stages. Therefore, the topic of early detection has been widely welcomed in scientific circles. Today, one of the safest methods for early detection in medicine is the study of biomarkers. These biomarkers include CTC, cfRNA, cfDNA, Exosome, etc. For instance, in the discussion of early cancer detection, the US Food and Drug Administration has so far identified two biomarkers, cfDNA and CTC, as the safest markers. The cfDNA marker is also widely used not only in the diagnosis of cancer, but also in the field of sex diagnosis and fetal Down syndrome in the first weeks of pregnancy.... 

    Cell Sepration of Cancer Cells by Using Electrical Field

    , M.Sc. Thesis Sharif University of Technology Fathi, Mohammad (Author) ; Asempour, Ahmad (Supervisor) ; Ahmadian, Mohamadtaghi (Supervisor)
    Abstract
    Cancer is the second leading cause of death in the world, with a high annual cost of treatment. As the cancer progresses, the cancer cells in the bloodstream metastasize to other parts of the body, causing the disease to spread throughout the patient's body and disrupt organ functions. sepration of cancer cells in the bloodstream inhibits the growth of cancer. Cancer cells differ from healthy cells in some features, such as size, electrical charge and polarization. These features can be used to seprate cancer cells from healthy cells.In this study, cell surface electrical charge was used as a biomarker to seprate cancer cells. By passing blood flow through a chanal and applying an electrical... 

    An Investigation of Resting-State Eeg Biomarkers Derived from Graph of Brain Connectivity for Diagnosis of Depressive Disorder

    , M.Sc. Thesis Sharif University of Technology Arabpour, Mohammad Reza (Author) ; Hajipour, Sepideh (Supervisor)
    Abstract
    Among the most costly diseases that affect a person's quality of life throughout his or her life, mental disorders (excluding sleep disorders) affect up to 25 percent of people in any community. One of the most common types of these disorders in Iran is depressive disorder, which according to official statistics, 13% of Iranians have some symptoms of it. Until now, the diagnosis of this disease has been traditionally done in clinics with interviews and questionnaires tests based on behavioral psychology and using symptom assessment. Therefore, there is a relatively low accuracy in the treatment process. Nowadays, with the help of functional brain imaging such as electroencephalogram (EEG)... 

    Evaluation of the Possibility of Diagnosing Female Gynecologic Cancer using X-Ray Fluorescence (XRF)Spectroscopy of Hair and Nail

    , M.Sc. Thesis Sharif University of Technology Jafari Iman, Fatemeh (Author) ; Hosseini, Abulfazl (Supervisor) ; Salimi, Ehsan (Supervisor)
    Abstract
    In recent years, indirect methods of cancer detection that utilize changes in trace element levels in various parts of the body, such as hair and nails, have garnered significant attention from researchers.The primary objective of these methods is to identify alterations in trace element levels that serve as biological markers in the presence of disease. While direct examination of affected organs remains the gold standard for cancer diagnosis, it is often expensive, time-consuming, inconvenient, and associated with potential side effects. Therefore, if the effectiveness of this approach is validated, it could serve as a cost-effective, non-invasive, safe, and early diagnostic method in... 

    Prognostic Biomarker Selection for Breast Cancer using Bioinformatics and Deep Learning

    , M.Sc. Thesis Sharif University of Technology Salimi , Adel (Author) ; Sharifi Zarchi, Ali (Supervisor)
    Abstract
    Triple Negative Breast Cancer (TNBC) is an invasive subtype of breast cancer. Finding prognostic biomarkers is helpful in choosing the appropriate treatment procedure for patients of this cancer. In recent years, the role of microRNAs in various biological processes, including cancer, has been identified, and their accessibility and stability have made these types of molecules an ideal biomarker. In the first phase of this study, with the aim of overcoming the limitations of previous studies, a new bioinformatics protocol has been proposed to investigate the prognostic miRNAs of triple negative breast cancer. First, using survival analysis, 56 prognostic miRNAs which had a significant... 

    Study of Brain Oddball Response to Olfactory Stimuli as Indicator in Dementia Disorders

    , M.Sc. Thesis Sharif University of Technology Sedghizadeh, Mohammad Javad (Author) ; Karbalaee Aghajan, Hamid (Supervisor)
    Abstract
    High-frequency oscillations of the frontal cortex are involved in functions of the brain that fuse processed data from different sensory modules or bind them with elements stored in the memory. These oscillations also provide inhibitory connections to neural circuits that perform lower-level processes. Deficit in the performance of these oscillations has been examined as a marker for Alzheimer’s disease (AD). Additionally, the neurodegenerative processes associated with AD, such as the deposition of amyloid-beta plaques, do not occur in a spatially homogeneous fashion and progress more prominently in the medial temporal lobe in the early stages of the disease. This region of the brain... 

    ZnO nanoparticle/nanorod-based label-free electrochemical immunoassay for rapid detection of MMP-9 biomarker

    , Article Biochemical Engineering Journal ; Volume 164 , 2020 Shabani, E ; Abdekhodaie, M. J ; Mousavi, S. A ; Taghipour, F ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    A label-free electrochemical biosensor was developed for the rapid detection of the matrix metalloproteinase 9 (MMP-9) biomarker on the basis of antibody immobilizing on the zinc oxide (ZnO) nanoparticle and ZnO nanorod electrodes. The charge transfer resistance (Rct) of the electrodes was used as the indicator for MMP-9 concentration, which was obtained through cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The ZnO nanorod-based biosensor exhibited linear behavior in the MMP-9 concentration range of 1–1000 ng/ml, which is a wider range than the available concentration ranges for most of the conventional methods. The biosensor sensitivity was 32.5 μA/(decade × cm2)... 

    Urine and serum NMR-based metabolomics in pre-procedural prediction of contrast-induced nephropathy

    , Article Internal and Emergency Medicine ; Volume 15, Issue 1 , 2020 , Pages 95-103 Dalili, N ; Chashmniam, S ; Khoormizi, S. M. H ; Salehi, L ; Jamalian, S. A ; Nafar, M ; Kalantari, S ; Sharif University of Technology
    Springer  2020
    Abstract
    Contrast induced nephropathy (CIN) has been reported to be the third foremost cause of acute renal failure. Metabolomics is a robust technique that has been used to identify potential biomarkers for the prediction of renal damage. We aim to analyze the serum and urine metabolites changes, before and after using contrast for coronary angiography, to determine if metabolomics can predict early development of CIN. 66 patients undergoing elective coronary angiography were eligible for enrollment. Urine and serum samples were collected prior to administration of CM and 72 h post procedure and analyzed by nuclear magnetic resonance. The significant differential metabolites between patients who... 

    Untargeted metabolomics based on nuclear magnetic resonance spectroscopy and multivariate classification techniques for identifying metabolites associated with breast cancer patients

    , Article Chemometrics and Intelligent Laboratory Systems ; Volume 223 , 2022 ; 01697439 (ISSN) Esmaeili, P ; Khalilvand, M ; Tavakolizadeh, H ; Parastar, H ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    In this study, multivariate classification techniques combined with proton nuclear magnetic resonance (1HNMR) spectroscopy is proposed to identify breast cancer biomarkers that can precisely distinguish between healthy control and breast cancer (BC) patients. In this regard, first optimizing the metabolite extraction procedure was performed using Box-Behnken design (BBD). Then, data-driven soft independent modeling of class analogy (DD-SIMCA) model and partial least squares-discriminant analysis (PLS-DA) were successfully utilized for separating healthy from BC patient's classes. On this matter, both DD-SIMCA and PLS-DA models could successfully distinguish the healthy class from the BC... 

    The metabolomics signature associated with responsiveness to steroid therapy in focal segmental glomerulosclerosis: A pilot study

    , Article Revista de Investigacion Clinica ; Volume 71, Issue 2 , 2019 , Pages 106-115 ; 00348376 (ISSN) Chashmniam, S ; Kalantari, S ; Nafar, M ; Boroumandnia, N ; Sharif University of Technology
    Instituto Nacional de la Nutricion Salvador Zubiran  2019
    Abstract
    Background: Focal segmental glomerulosclerosis (FSGS) is considered one of the most severe glomerular diseases and around 80% of cases are resistant to steroid treatment. Since a large proportion of steroid-resistant (SR) FSGS patients progress to end-stage renal disease, other therapeutic strategies may benefit this population. However, identification of non-invasive biomarkers to predict this high-risk population is needed. Objective: We aimed to identify the biomarker candidates to distinguish SR from steroid-sensitive (SS) patients using metabolomics approach and to identify the possible molecular mechanism of resistance. Methods: Urine was collected from biopsy-proven FSGS patients... 

    The Differential Diagnosis of Crohn's Disease and Celiac Disease Using Nuclear Magnetic Resonance Spectroscopy

    , Article Applied Magnetic Resonance ; Volume 45, Issue 5 , May , 2014 , Pages 451-459 Fathi, F ; Kasmaee, L. M ; Sohrabzadeh, K ; Nejad, M. R ; Tafazzoli, M ; Oskouie, A. A ; Sharif University of Technology
    Abstract
    Crohn's disease and celiac disease belong to a group of autoimmune conditions that affect the digestive system, specifically the small intestine. They both attack the digestive tract and share many symptoms. Thus, the discovery of proper methods would be a major step toward differentiating celiac disease from Crohn's disease. The aim of this study was to search for the metabolic biomarkers to differentiate between these two diseases. Proton nuclear magnetic resonance spectroscopy (1H NMR) was employed as the metabolic profiling method to look for serum metabolites that differentiate between celiac disease and Crohn's disease. Classification of celiac disease and Crohn's disease was done...