LSC-20016 - Metabolism in Health and Disease
Coordinator: David Watson Tel: +44 1782 7 33676
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 734414

Programme/Approved Electives for 2022/23


Available as a Free Standing Elective






Barred Combinations


Description for 2022/23

In this module you will explore the specialisation and interdependence of metabolism within the bodies of mammals, and of man, exploring the issues surrounding the changes in metabolism associated with inherited and acquired disease (including obesity, diabetes and cancer). The module is taught through a combination of lectures, laboratory classes, tutorials and private study. In the practical component of the module you will develop a more independent, enquiry-based approach, developing skills in experimental design in the form of a mini-project.

To describe and explain the specialisation and interdependence of metabolism in the body; homeostasis, adaptation to nutritional states, elimination of drugs and harmful substances and to explore the issues surrounding the changes in metabolism associated with inherited and acquired disease.

Talis Aspire Reading List
Any reading lists will be provided by the start of the course.

Intended Learning Outcomes

describe the metabolic relationships of the various tissues and organs of the mammalian body and discuss the responses of tissues to altered nutritional states and specific diseases: 1
discuss the specialised metabolic requirements of muscle, fat, liver and nervous tissue with respect to their normal function and in specific disease states: 1
explain the digestion, absorption and excretion of nutrients and other substances: 1
explain the role of hormones in the integration of metabolism and the maintenance of homeostasis: 1
describe the routes by which xenobiotics are processed in the liver and discuss the importance for pharmacology and pharmacokinetics: 1
communicate the results of an experimental project effectively in written form in the style of a full scientific laboratory report: 2
analyse and interpret data derived from experimental investigations using statistical packages and appropriate statistical tests: 2
locate and retrieve information from scientific literature:

Study hours

12 hours of tutorials/discussion activities supporting asynchronous content
4 hours of IT workshops and tutorial content related to the report assessment
15 x 3 hours engagement with asynchronous content
2 hours examination
33 hours independent study; preparation for in-course assessment (report)
54 hours independent study; examination preparation/revision and engaging with directed reading

School Rules


Description of Module Assessment

1: Open Book Examination weighted 70%
Online open book exam
The paper will be released on KLE as a Word document at 9am on the morning of the exam and will comprise of short answer questions (60% contribution to exam) and one essay question from a choice of three (40% contribution to exam). Students should answer each question using Word, clearly labelling each question as they provide their answers. Work will be submitted to Turnitin no later than 5pm on the day of release. International students will be asked to notify the School if they need an extension due to different time zones. Although students have been given significant time to complete this exam script, we expect most students to spend no more than 2 hours. Answers should be as accurate and concise as possible. For short-answer questions, students should pay careful attention to the number of points that each question is worth. In general, we would expect only one or two sentences for each point. For essay-based questions, typical answers would be in the range of 500-750 words per question. We recommend that students do not exceed 750 words per essay-based question.

2: Laboratory Report weighted 30%
Laboratory report of 2000 words
2000 word laboratory report, written on an individual basis, based on experimental data collected in laboratory sessions associated with LSC-20107, supported with tutorial sessions for data analysis.