Faculty of Science

Introduction to Nutritional Metabolomics
Provider: Faculty of Science

Activity no.: 5472-23-06-31	There are no available seats
	Enrollment deadline: 09/06/2023

Place

Institut for Idræt og Ernæring

Date and time

26.06.2023, at: 09:00 - 30.06.2023, at: 12:30

Regular seats

ECTS credits

3.00

Contact person

Gladys Stolberg-Mathieu E-mail address: gtm@nexs.ku.dk

Enrolment Handling/Course Organiser

Jan Stanstrup E-mail address: JST@NEXS.KU.DK

Written language

English

Teaching language

English

Semester/Block

Block 5

Block note

Duration: 4½ days

Exam form

Oral defence, presentation of the Group Work, Critical questions from lecturers

Exam details

Presentation of group work

Grading scale

Passed / Not passed

Course workload

Course workload category	Hours
Preparation	40.00
Lectures	18.00
Project work	14.00
Theoretical exercises	6.00

Sum	78.00

Content

The course will provide a general overview of LC-MS based untargeted metabolomics from study design to results and will be exemplified with its specific application in nutrition. It will be delivered using a mixture of lectures, hands-on data preparation and analysis, computer-based practical sessions, and discussions. Visits to wet labs and instructions on human sample preparation procedures is included but there is no practical lab work.

The students will go through common steps in a typical metabolomics study using a real-life case. This case study includes plasma (or urine) samples from a nutritional intervention. The sample preparation and analysis on UPLC-QTOF has been conducted and the students will further process and analyze the acquired data with various freeware tools (e.g. R, XCMS, MZmine etc). They will finally work on identification of relevant metabolites using manual analysis assisted by several web-based databases and structure elucidation tools. The course will conclude by presentations of reports generated by the students based on the case study.

The students should expect a fairly technical course with a strong focus on the hands-on data analysis abilities and data interpretation skills. Programming skills are not a prerequisite for entering the course and students are guided through the exercises. However, for students that are not familiar with R we expect them to explore the self-study curriculum based on short videos and texts that cover essential programming concepts.
The project work has a high workload and hence evening work can be expected during the course week.

Learning outcome

The aim of this course is to introduce the students to all phases in a nutritional metabolomics study, to instruct the student on sample handling, and to train the student in data analysis and in the use of freely available tools for the metabolomics data flow.

After completing the course the students should be able to:

• Describe the handling of urine, plasma and other samples collected from humans for metabolomics analysis
• Understand the basic principles of UPLC-QTOF technology
• Suggest which sample type to analyze for a specific research question and propose the relevant sample collection and preparation procedure
• Carry out data preprocessing using freely available tools (R/XCMS)
• Perform basic univariate and multivariate analysis (e.g. R)
• Interpret the MS/MS spectra by manual interpretation and by utilizing available tools (e.g. MetFusion, MetFrag) and databases (e.g. HMDB, METLIN and MassBank)

Teaching and learning methods

Lectures, hands-on exercises, group discussions.

Lecturers

Professor Lars Ove Dragsted
Assistant Professor Jan Stanstrup
Postdoc Parvaneh Ebrahimi
Associate Professor Henrik Munch Roager
Assistant Professor Giorgia La Barbera

Remarks

Breakfast (light), snacks, lunch and dinner will be provided during the course.

Fee
There is no fee for the PhD students under the Open Market in Denmark.
Other participants are to pay a course fee of 700 EUR. The fee must be paid no later than the 9th of June 2023.
Each student must pay and arrange their own travel and accommodation in Copenhagen during the course.

The preliminary program can be downloaded here.

For more information please contact Gladys Thingstrup Mathieu: gtm@nexs.ku.dk

Date of the exam is Friday 30th of June 2023 from 09:00 to 12:30.

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