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School of Life Sciences

Clinical Biochemistry (C7020)

Clinical Biochemistry

Module C7020

Module details for 2022/23.

15 credits

FHEQ Level 5

Module Outline

This module will outline the biochemical mechanisms for controlling the pathways of lipid, carbohydrate, and amino acid metabolism under different physiological and nutritional conditions and will discuss the importance of diseases arising from defects in these pathways. Particular emphasis will be placed upon the aetiology, symptoms and treatment of diseases such as Type I and II diabetes mellitus; the obesity epidemic and metabolic syndrome; hypertension; atherosclerosis and other lipid disorders and inborn errors of carbohydrate and amino metabolism. A variety of routine biochemical tests will be discussed, together with their importance for the diagnosis, prognosis, monitoring and screening for disease. The module consists of lectures, including visiting lecturers with direct experience of the clinical field, online quizzes, a problem class and practicals.

Module learning outcomes

Discuss in detail the major pathways of carbohydrate, lipid, and amino acid metabolism.

Show a critical understanding of how these pathways are regulated under normal physiological and nutritional states.

Discuss the ways in which alterations in the key metabolic pathways leads to the development of disease processes such as diabetes, hypertension and atherosclerosis and describe how these may be monitored and treated in the clinical setting.

Employ a knowledge of metabolic pathways to analyse and interpret metabolic data and apply this to clinical case studies.

TypeTimingWeighting
Coursework30.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 100.00%
Computer Based ExamSemester 2 Assessment70.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture1 hour22222222202
Spring SemesterLaboratory3 hours00000000010

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Joanna Richardson

Assess convenor, Convenor
/profiles/395320

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