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Metabolism and Diseases

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ABCT4105abctFaculty of Science3 credits

Metabolism and Diseases

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Overview

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Course Code

ABCT4105

Course Name

Metabolism and Diseases

Department

abct

School ID

polyu

Faculty

Faculty of Science

Credits

3 credits

Level

4

课程简介

/ Indicative Syllabus Pentose phosphate pathway and reducing equivalents; anaplerotic reactions and carbohydrate metabolism; glycogen synthesis and breakdown; common diseases of carbohydrate metabolism. (8 hours) Amino acid metabolism: synthesis of amino acids from intermediates of the citric acid cycle; synthesis of glutamine, proline and arginine from glutamate; synthesis of serine, cysteine, histidine and aromatic amino acids; regulation of amino acid biosynthesis; urea cycle; common diseases of amino acid metabolism. (8 hours) Lipid metabolism: synthesis of triacylglycerol and membrane lipids; metabolism of cholesterol and steroid hormones; turnover of fats and lipoproteins; common diseases of lipid metabolism. (14 hours) Nucleotide metabolism: biosynthesis and catabolism of nucleotides. Cancer drugs targeting nucleotide metabolism pathways. (6 hours) Vitamins and coenzymes, essential and trace minerals: their role in metabolism and common diseases. (4 hours) Xenobiotics metabolism: Cytochrome P450; drug and toxin metabolism. (3 hours) -- 1 of 3 --

目标

The aim of this subject is for students to acquire a deeper understanding of metabolism through the study of breakdown and biosynthesis of important biomolecules, in particular with reference to some examples of common metabolic diseases.

先修要求

Biochemistry

Teaching Pattern

Methodology Lectures are designed to provide students with the essential concepts of intermediate metabolism, metabolic regulations and diseases. To enhance their learning and knowledge, problem-based and student-centered learning approach will be employed. Students will be given assignments for discussions and presentations. Tutorial classes and Blackboard platform will be used to gauge their learning and performance. Laboratory classes will require students to design experiments and skills in data interpretation and report writing. A variety of