Metabolomics Meets Epidemiology Volume II
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 223
Special Issue Editor
2. Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany
Interests: nutritional epidemiology; molecular epidemiology; chronic disease epidemiology; metabolomics; food metabolome; childhood nutrition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in high-throughput technologies such as metabolomics have enabled us to measure the numerous compounds that are present in large amounts in the samples that are used in epidemiological studies. Because of these advances, we are able to make the best use of the finite biological samples that are stored in large biobanks, as we are able to measure the maximum possible number of markers while only using a minimum quantity of the sample volume. When applied to epidemiological studies, e.g., large prospective cohorts, metabolomics not only offers a great opportunity to study disease etiology and prediction, but also an opportunity to improve exposure assessments in specific populations. Metabolomics is a great tool for biomarker discovery and validation. However, many challenges need to be addressed, including proper sample and metabolomics platform selection, technical variation, metabolite reliability and reproducibility, biological pathway identification, replication across populations, and complex statistical data analysis and integration, among others. Therefore, in this Special Issue, research from the field of metabolomics and how it can be utilized in epidemiology will be discussed from a diverse range of perspectives.
Prof. Dr. Anna Floegel
Guest Editor
Manuscript Submission Information
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Keywords
- metabolomics
- epidemiology
- prospective cohorts
- biomarker
- risk prediction
- exposure assessment
- reliability
- data analysis
- data integration
Related Special Issue
- Metabolomics Meets Epidemiology in Metabolites (13 articles)
