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Introduction to Nutritional Metabolomics
Provider: Faculty of Science

Activity no.: 5472-21-06-31 
Enrollment deadline: 18/06/2021
PlaceInstitut for Idræt og Ernæring
Date and time28.06.2021, at: 09:00 - 02.07.2021, at: 12:00
Regular seats16
Activity Prices:
  - Open Market Agreement Students0.00 €
  - Nova partners0.00 €
ECTS credits3.00
Contact personJan Stanstrup    E-mail address: JST@NEXS.KU.DK
Enrolment Handling/Course OrganiserLars Ove Dragsted    E-mail address: LDRA@NEXS.KU.DK
Written languageEnglish
Teaching languageEnglish
Semester/BlockBlock 5
Block noteDuration: 4,5 days
Exam formOral examination
Exam detailsOral defence, presentation of the Group Work, Critical questions from lecturers.
Course workload
Course workload categoryHours
Presentation40.00
Lectures18.00
Project work14.00
Theory exercises6.00
Sum78.00
Content

THE COURSE IS CANCELLED DUE TO THE COVID TRAVEL RESTRICTIONS. 

The course will be conducted as an in-person course if corona safety regulations permit it when the course takes place. Otherwise, the course will be converted to an online course and given on the stated dates.

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 with minimal hands-on.

The students will go through common steps in a typical metabolomics study using a real-life case. This case study includes collected 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 several web-based structure elucidation tools. The course will conclude by presentations of reports generated by the students based on the case study.

The course will be structured as initial short lectures on theory followed by hands-on exercises, which will teach the students to transfer the theoretical information to practice. The students should expect a fairly technical course with a strong focus on the hands-on data analysis abilities and data interpretation skills.

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:

• Handle urine, plasma and other samples collected from humans for metabolomics analysis
• Understand the basic principles of UPLC-QTOF technology and get familiar with sample analysis
• 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
Associate Professor Morten Arendt Rasmussen
Assistant Professor Henrik Munch Roager
Post doc Giorgia La Barbera
PhD student Nicola Procházková
PhD student Tu Hu

Remarks

Fee
No fee for the PhD students under the Open Market in Denmark and NOVA partners (Nordic Countries).
Other participants are to pay a course fee of 300 EUR. Each student must pay and arrange their own travel and accommodation in Copenhagen during the course.

The program can be downloaded here.

For more information please contact Jan Stanstrup: jst@nexs.ku.dk

Date of the exam is Friday 2nd of July 2021 from 09:00 to 12:00.

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