Metabolomics as a Prognostic Tool for Disease Progression and Recurrence Prediction

Metabolomics, the comprehensive study of small-molecule metabolites, has emerged as a powerful tool in biomedical research, offering insights into disease mechanisms, biomarker discovery, and therapeutic monitoring. In recent years, the use of metabolomics for prognostic applications has gained increasing attention, with researchers leveraging metabolic profiling to assess disease severity, monitor progression, and predict recurrence in various pathologies, including cancer, cardiovascular diseases, and neurodegenerative disorders.

This Research Topic aims to highlight cutting-edge advancements in the application of metabolomics as a prognostic tool, focusing on its ability to differentiate disease stages, predict recurrence, and enhance personalized medicine approaches. Risk stratification models can be refined by integrating metabolomics with other omics technologies, machine learning, and clinical parameters, ultimately improving patient outcomes.

We invite contributions that explore novel metabolomic biomarkers, innovative analytical techniques, and computational models that enhance prognostic accuracy across different disease areas. Studies employing nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), and other high throughput metabolomic approaches to uncover prognostic signatures are particularly welcome. Submissions shouldn’t focus solely on bioinformatic insights, but should include substantial experimental data that validates findings and provides mechanistic understanding. Furthermore, we encourage submissions that address challenges related to reproducibility, standardization, and clinical translation of metabolomic prognostic markers.

Topics of interest include, but are not limited to:

• Identification of metabolomic biomarkers for disease progression and recurrence prediction

• Integration of metabolomics with multi-omics and clinical data for prognostic modeling

• Advances in analytical and computational approaches for metabolomics-based prognosis

• Metabolomics-driven precision medicine strategies

• Challenges and solutions in translating metabolomic prognostic markers into clinical practice

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Technology and Code

Keywords: metabolomics, metabolomics research, prognostic metabolomics, personalized medicine, disease prediction, metabolomics biomarkers

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.