Metabolomics in Physiology and Disease: Advances and Perspectives
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Endocrinology and Metabolism".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 4
Special Issue Editor
Interests: proteomics; metabolomics; LC-MS/MS; bioanalytical mass spectrometry; lipidomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics is a powerful and rapidly expanding approach in biomedical research and personalized medicine, aimed at the comprehensive analysis of small-molecule metabolites within biological systems. Based on the research objective, different analytical strategies can be employed. Untargeted metabolomics offers a broad, unbiased metabolic profile, ideal for hypothesis generation, biomarker discovery, and global metabolic fingerprinting. Targeted metabolomics enables precise quantification of predefined metabolites, supporting clinical validation, pharmacokinetic studies, and diagnostics. Moreover, metabolomics plays a crucial role in the functional characterization of biological systems and cellular models, offering dynamic insights into cellular metabolism under physiological or pathological conditions, drug exposure, or genetic manipulation. The high complexity and dimensionality of metabolomic data require advanced bioinformatics tools for data preprocessing, statistical analysis, metabolic pathway mapping, and integration with other omics platforms. Bioinformatics is essential to ensure data reliability, extract biologically meaningful information, and drive the translation of metabolomic findings into clinical and therapeutic contexts.
In this Special Issue, we aim to highlight metabolomics studies that leverage innovative analytical approaches applied to complex biological systems. The objective is to characterize previously unexplored or poorly understood biological profiles, or to apply metabolomics in the context of disease diagnostics, prognostics, or treatment monitoring. Of particular interest are studies that integrate advanced bioinformatics tools for the management, analysis, and biological interpretation of experimental data, contributing to a deeper functional understanding of metabolic signatures in health and disease.
Dr. Ilaria Cicalini
Guest Editor
Manuscript Submission Information
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Keywords
- metabolomics
- disease biomarkers
- data integration
- bioinformatics
- mass spectrometry
- personalized medicine
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