Bioinformatic analysis and pharmacological properties of porphyrine and some of its derivatives

Infections in human?s results from a variety of disease-causing agents or so-called microorganisms like bacteria, viruses, fungi, viroids or nematodes. Generally, these microorganisms produce endotoxins and exotoxins when they enter the human body. Consequently, the human body reacts by initiating a

Project Title

Bioinformatic analysis and pharmacological properties of porphyrine and some of its derivatives

Project Area of Specialization

Biomedical Engineering

Project Summary

Infections in human’s results from a variety of disease-causing agents or so-called microorganisms like bacteria, viruses, fungi, viroids or nematodes. Generally, these microorganisms produce endotoxins and exotoxins when they enter the human body. Consequently, the human body reacts by initiating an inflammatory response that can be “in some cases” very dangerous and lethal. With the current changes in food intake habits and environmental exposures, human cells are often exposed to wide array of microbial infections. Among such microbes, Helicobacter pylori and Pseudomonas aeruginosa are the most infectious, causing moderate to severe abnormalities in human health. Although, there are numerous assay based and standardized procedures and strategies to diagnose these infection, however, with advent of recent advances in spectroscopic methods can be more sensitive and robust. The proposed research study is based on using reflectance spectroscopy (FTIR-ATR, NIR) techniques to detect the presence of infections in clinical samples. This method is based on detecting different microbial toxins. The type III secreted toxins of Pseudomonas aeruginosa are important virulence factors associated with clinically important infection. H. pylori has multiple virulence factors that participate in the pathogenesis of the disease. The new method will have a great impact on the healt sciences  showing no clear symptoms and so might be lethal. Currently, the presence of infections is tested by different methods such as clinical sample cultures and other specific antibody tests, the results take approximately 5-15 days to be revealed. Long analysis time may cause delayed therapy leading to many other health complications. Our new developing method will be able to detect the presence of an infection in a shorter time compared to the currently used methods. Also, different types of microorganisms may be specified in our method. The early detection of many infections leads to better treatment outcomes and prevents many complications associated with these infections.

Project Objectives

 The long-term objectives of this study will be:

• To design and assess the new methodology by applying reflectance spectroscopy both FTIR & NIR coupled with multivariate methods as a robust diagnostic tool for clinical blood samples
• To assess the prevalence of disease specifically caused by H. pylori, Pseudomonas aeruginosa and corona through reflectance spectroscopy.
• To replicate the success of proposed method for analysis of other common infectious diseases, such as Tuberculosis (TB), Dengue fever, diabetics, Malaria.
• To identify the important biomarker related to specific infectious diseases through the proposed method.

To validate the proposed method with the available methods of diagnosis by using molecular and kit based approaches.

Project Implementation Method

A 1.1. Collection and storage of clinical samples

A.1.2. Literature review of the applications of Near-Infrared spectroscopic techniques to the analysis of clinical samples. Literature review of statistical methods applied for the analysis of physiochemical properties of clinical samples. Literature review of multivariate classification methods related to samples and authenticity.

A.1.3. Analysis of clinical samples and collection of spectral data by using FTNIR & FTIR

A. 1.4. Spectral pre-treatment (preprocessing)

A.1.5. Determination of physiochemical properties of clinical samples from spectral data base

A. 1.5.1. Development of PCA & PLSDA models

A. 2.1. To explore the similarities and diffence among the healthy and infected clinical samples

A 2.2. To determine a specific infection

A 2.3. To investigate the strength or level of the infection

A.1.2. Literature review of the applications of Near-Infrared spectroscopic techniques to the analysis of clinical samples. Literature review of statistical methods applied for the analysis of physiochemical properties of clinical samples. Literature review of multivariate classification methods related to samples and authenticity.

A.1.3. Analysis of clinical samples and collection of spectral data by using FTNIR & FTIR

A. 1.4. Spectral pre-treatment (preprocessing)

A.1.5. Determination of physiochemical properties of clinical samples from spectral data base

A. 1.5.1. Development of PCA & PLSDA models

A. 2.1. To explore the similarities and diffence among the healthy and infected clinical samples

A 2.2. To determine a specific infection

A 2.3. To investigate the strength or level of the infection

A.1.2. Literature review of the applications of Near-Infrared spectroscopic techniques to the analysis of clinical samples. Literature review of statistical methods applied for the analysis of physiochemical properties of clinical samples. Literature review of multivariate classification methods related to samples and authenticity.

A.1.3. Analysis of clinical samples and collection of spectral data by using FTNIR & FTIR

A. 1.4. Spectral pre-treatment (preprocessing)

A.1.5. Determination of physiochemical properties of clinical samples from spectral data base

A. 1.5.1. Development of PCA & PLSDA models

A. 2.1. To explore the similarities and diffence among the healthy and infected clinical samples

A 2.2. To determine a specific infection

A 2.3. To investigate the strength or level of the infection

Benefits of the Project

• focusing on the project will enable the investigators to produce a comprehensive set of data types, methods and prevalence of such human ailments.
• The findings of research work performed in the project will be published in journals of international repute and impact factor.
• The project will motivate and stimulate future research cooperation between the physiologists, microbiologists, environmentalists and chemists.
• The project will involve an excellent research exercise to the undergraduate and postgraduate  students through courses, senior research projects, workshops and seminars. The capacity of the students will be built in microbiology and chemistry during the research activities of the project. The graduated students will not only gain local research experience but they will also be exposed to research expertise at international levels by joining the collaborator research labs. Thus, the project execution will enable  to have highly skilled human resource who will contribute to greater economy and wellbeing of both t

Technical Details of Final Deliverable

This study will introduce a new and robust method to detect and characterize the presence of infection in clinical samples. This will have a great impact on the early treatment plan as it will improve the therapeutic outcomes and eliminate complications related to the delayed therapeutic interventions.

   The delayed diagnostic tools results for infectious diseases like common infectious diseases, such as Tuberculosis (TB), Dengue fever, diabetics, Malaria have a negative impact on patient’s health, may lead to other complications and even death in some cases, therefore, application of reflectance spectroscopy both FTIR & NIR coupled with multivariate methods as a robust diagnostic tool for clinical blood samples.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Required Resources

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