Loading...
Search for: biomarker
0.008 seconds
Total 42 records

    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... 

    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... 

    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... 

    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... 

    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... 

    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)... 

    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... 

    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... 

    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,... 

    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... 

    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... 

    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.... 

    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... 

    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... 

    Perylene diimide-POSS network for semi selective solid-phase microextraction of lung cancer biomarkers in exhaled breath

    , Article Analytica Chimica Acta ; Volume 1198 , 2022 ; 00032670 (ISSN) Soufi, G ; Bagheri, H ; Yeganeh Rad, L ; Minaeian, S ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Lung cancer (LC) is the leading cause of cancer mortality so, the analysis of exhaled human breath has great significance for early non-invasive diagnosis. Poor selectivity and strong humidity are two bottlenecks for the application of gas sensors to exhaled breath analysis. The development of novel extractive phases for the analysis of exhaled breath by chromatography is therefore a lucrative object. Polyhedral oligomeric silsesquioxanes (POSS) are among the 3D porous materials whose unique properties make them promising coatings for solid-phase microextraction (SPME). Selective enrichment of polar or nonpolar targets depends on the pore size and functional groups on the POSSs. Herein, we... 

    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)... 

    Specific picomolar detection of a breast cancer biomarker her-2/neu protein in serum: electrocatalytically amplified electroanalysis by the aptamer/peg-modified electrode

    , Article ChemElectroChem ; Volume 4, Issue 4 , 2017 , Pages 872-879 ; 21960216 (ISSN) Salimian, R ; Kékedy Nagy, L ; Ferapontova, E. E ; Sharif University of Technology
    Wiley-VCH Verlag  2017
    Abstract
    Specific and sensitive electroanalysis of blood-circulating protein cancer biomarkers is often complicated by interference from serum proteins nonspecifically adsorbing at the biosensing interface and masking specific reactions of interest. Here, we have developed an electrocatalytically amplified assay for specific and sensitive analysis of human epidermal growth factor receptor-2 (HER-2/neu, a protein cancer biomarker over-expressed in breast cancers) that allows us to avoid both the interference from bovine serum albumin (BSA) and electrocatalytic amplification of the signal stemming from the specific aptamer−HER-2/neu binding. A HER-2/neu-specific thiolated aptamer sequence was... 

    A novel panel of blood-based microRNAs capable of discrimination between benign breast disease and breast cancer at early stages

    , Article RNA Biology ; 2021 ; 15476286 (ISSN) Sadeghi, H ; Kamal, A ; Ahmadi, M ; Najafi, H ; Sharifi Zarchi, A ; Haddad, P ; Shayestehpour, B ; Kamkar, L ; Salamati, M ; Geranpayeh, L ; Lashkari, M ; Totonchi, M ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Abstract
    Breast cancer (BC) as a leading cause of cancer death among women, exhibits a wide range of genetic heterogeneity in affected individuals. Satisfactory management of BC depends on early diagnosis and proper monitoring of patients’ response to therapy. In this study, we aimed to assess the relation between the expression patterns of blood-based microRNAs (miRNAs) with demographic characteristics of the patients with BC in an attempt to find novel diagnostic markers for BC with acceptable precision in clinical applications. To this end, we performed comprehensive statistical analysis of the data of the Cancer Genome Atlas (TCGA) database and the blood miRNome dataset (GSE31309). As a result,... 

    Design and fabrication of an electrochemical-based nanofibrous immunosensor for detection of prostate cancer biomarker, PSMA

    , Article Polymers for Advanced Technologies ; Volume 33, Issue 6 , 2022 , Pages 1967-1977 ; 10427147 (ISSN) Rezaei, Z ; Alemzadeh, I ; Vossoughi, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2022
    Abstract
    Convenient medical diagnostics and treatments can replace conventional healthcare procedures because of their fast and profitable applications with reduced infection risk. Meanwhile, early diagnosis of cancer is a leading research subject due to the high fatality rate of the disease and being a vital precursor in the treatment effectiveness. Electrochemical-based micro-biosensors are the best candidates for measuring particular biomarker concentrations in body fluids. To address this need, we used a simple fabrication approach to develop an effective immunosensor for the early detection of cancer, in particular prostate cancer. The carbon fibers, obtained from the electrospinning technique,...