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Clinical LC-MS/MS
Development and validation of targeted LC-MS/MS methods for laboratory medicine — small molecules, steroids, organic acids and biomarkers of inherited metabolic disorders.
Clinical mass spectrometry · Olomouc
Mass spectrometry,
translated to the clinic.
We develop and apply LC-MS/MS, metabolomics and lipidomics workflows to understand disease mechanisms, discover clinically relevant biomarkers and support the translation of omics technologies into laboratory medicine.
- Scan
- 482.61 m/z
- Polarity
- ESI−
- Range
- 100–1000
A joint group of University Hospital Olomouc & Palacký University 
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Publications in record
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Researchers & students
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Clinical focus areas
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Years of published research
Latest from the group
News & recent publications
Courses, new papers and updates from the laboratory — a live view of what the group is working on.
Join our new course on advanced technologies in lipidomics in Dresden
A new course on advanced lipidomics technologies, held in Dresden on 24–28 May 2027 and organised with the FEBS Network.
Course details
A hybrid RNA-based reporter assay for robust quantification of cytidine deaminase activity
Ligasová A, et al. Nucleic Acids Research. 2026;54(11):gkag588.
Read the paper
Derivatisation-free FIA-MS/MS assay for rapid screening of atypical myopathy biomarkers from dried blood spots
Kadláčková M, et al. Analytical and Bioanalytical Chemistry. 2026.
Read the paper
What we do
Mass spectrometry workflows for clinically meaningful omics research
We combine clinical laboratory expertise with targeted mass spectrometry, metabolomics and lipidomics to study disease mechanisms and develop clinically meaningful analytical workflows.
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Metabolomics
Targeted metabolomic workflows for the investigation of human disease, biochemical phenotyping and translational biomarker discovery.
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Lipidomics
Quantitative lipidomics focused on inflammation, infection, cardiovascular risk and disease-associated remodelling of lipid pathways.
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Multi-omics & data analysis
Integration of metabolomics, lipidomics, proteomics and clinical data using robust statistics, visualisation and biomarker modelling.
Clinical questions
Where mass spectrometry meets clinical questions
We apply mass spectrometry-based omics to clinically relevant questions where lipid and metabolite profiles may improve disease understanding, patient stratification or laboratory diagnostics.
Inflammation and infection
Distinguishing infectious and sterile inflammation using lipid and metabolite signatures in clinically relevant matrices.
Inherited metabolic disorders
LC-MS/MS workflows for selective screening, diagnostics and biochemical characterisation of inborn errors of metabolism.
Cardiovascular risk lipidomics
Lipid-based risk stratification with a focus on ceramides, phospholipids and disease-associated lipid remodelling.
Immune-mediated diseases
Multi-omics profiling of inflammatory bowel disease and immune-mediated conditions using metabolomics, lipidomics and proteomics.
Perioperative and stress metabolism
Metabolic and lipidomic changes associated with surgery, stress response and clinical recovery.
From spectra to insight
From raw spectra
to clinical insight.
Every measurement is also a data problem. We build reproducible pipelines that turn complex LC-MS/MS output into interpretable, clinically useful information.
- 01 Targeted method development and validation
- 02 Reproducible processing in R and Python
- 03 Robust statistics and biomarker modelling
- 04 Visualisation built for clinical interpretation
TIC chromatogram LC-MS/MS
Lipid classes mol %
PCA of lipidome n = 148
Controls Patients
Longitudinal profiles 12 months
Selected publications
Research worth reading
Selected papers representing our main directions in lipidomics, metabolomics, clinical mass spectrometry and translational laboratory medicine.
Data analysis
Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data
A practical high-impact methodological paper providing open tools and recommendations for processing, statistical analysis and visualization of lipidomics and metabolomics data.
DOI Clinical lipidomicsLipidomic profiling of human serum enables detection of pancreatic cancer
A landmark serum lipidomics study demonstrating the potential of lipid profiles for cancer detection and translational biomarker discovery.
DOI Cardiovascular lipidomicsCeramide-based risk score: a novel laboratory tool for cardiovascular risk stratification in hyperuricemia and gout
Shows how ceramide-based lipid scores may support laboratory-based cardiovascular risk stratification in clinically defined patient cohorts.
DOI