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Introduction to Nutritional Metabolomics
Provider: Faculty of Science

Activity no.: 5472-19-06-31 
Enrollment deadline: 21/06/2019
Date and time01.07.2019, at: 09:00 - 05.07.2019, at: 13:00
Regular seats16
ECTS credits3.00
Contact personXiaomin Zhou    E-mail address: xzh@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: 4½ days
Exam formOral defence, presentation of the Group Work, Critical questions from lecturers
Exam detailsPresentation of group work
Course workload
Course workload categoryHours
Project work14.00
Theoretical exercises6.00


The course will provide an overview on LC-MS based untargeted metabolomics and its 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 analyse the acquired data with various free-ware tools (MZmine, Workflow4Metabolomics and Metaboanalyst). They will finally work on identification of relevant metabolites using several web-based structure elucidation tools. The course will finalize 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.

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 (MZmine and Workflow4Metabolomics)
• Perform basic univariate and multivariate analysis (e.g. MetaboAnalyst)
• Interpret the MS/MS spectra by utilizing available tools (e.g. MetFusion, MetFrag) and databases (e.g. HMDB, Metline and MassBank)

Teaching and learning methods
Lectures, hands-on exercises, group discussions

Professor Lars Ove Dragsted
Post doc Marynka M. Ulaszewska
Assistant Professor Cristian de Gobba
Post doc Mads Vendelbo Lind
Post doc Giorgia La Barbera
PhD student Ceyda Pekmez
PhD student Natalia Vazquez Manjarrez
PhD student Xiaomin Zhou
PhD student Muyao Xi
MSc student Tu Hu


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 Xiaomin Zhou: xzh@nexs.ku.dk

Date of the exam is Friday 5 July 2019 from 09:00 to 12:00.

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