Towards Clinical Interpretation of Metabolomic Data
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Bioinformatics and Data Analysis".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 82
Special Issue Editor
Special Issue Information
Dear Colleagues,
Biochemical diagnosing of human diseases benefits historically from the analysis of and interpretation of metabolite levels in biofluids. They play key diagnostic roles in major diseases ranging from diabetes to a large group of individually rare inherited metabolic diseases. Clinical use of metabolic intermediate levels in biofluid is complicated by many factors known to the biochemist from sampling and metabolite stability up to the heterogeneity of clinical cohorts in biomarker studies. These issues hinder the widespread use of metabolomic data in clinical diagnosing. The volume of the data available for clinical interpretation by the current metabolomic analysis methods allows us to discover data analysis tools that can substantially help with this difficult task.
This Special Issue aims to address and solve the problems that hamper the widespread use of metabolomic data in clinical decisions.
Prof. Dr. Tomáš Adam
Guest Editor
Manuscript Submission Information
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Keywords
- biochemistry
- data mining
- metabolism
- biochemical interpretation
- plasma
- serum
- urine
- cerebrispinal fluid
- biofluids
- human
- biochemistry
- metabolomic
- metabolic diseases
- clinical diagnosis
