Translational Advances in Molecular Biomarkers for Disease Diagnosis and Clinical Monitoring: From Non-coding RNAs to Extracellular Vesicle Proteomics

In recent years, rapid progress in molecular biomarker research has greatly enhanced our ability to diagnose diseases earlier, stratify patient populations more precisely, and monitor disease progression dynamically. This Research Topic seeks to highlight translational advances in molecular biomarker discovery and application, focusing on approaches that bridge laboratory innovation and clinical implementation. The scope spans innovations from circulating non-coding RNAs to the proteomic profiling of extracellular vesicles, and is open to emerging methodologies that advance the field.

We invite original research articles, reviews, and perspectives that provide insights into:
• The identification and validation of novel molecular biomarkers for disease diagnosis and monitoring
• Mechanistic studies elucidating the function or regulation of candidate biomarkers
• Advanced analytic techniques (e.g., multi-omics, bioinformatics, machine learning) for biomarker discovery
• Technological advances in detection or quantification of molecular markers
• Translational studies demonstrating the clinical impact or utility of biomarkers in different disease contexts
Relevant topics include, but are not limited to:
• Circulating or tissue-based non-coding RNAs (e.g., microRNAs, lncRNAs, circRNAs)
• Proteomics of extracellular vesicles and exosomes
• Metabolomic profiling and novel metabolic biomarkers
• Integration of genomics, transcriptomics, proteomics, or metabolomics ("multi-omics") for biomarker signature development
• Biomarker-guided clinical studies and real-world implementation
• New analytical platforms or assays for biomarker detection
• Innovative liquid biopsy biomarkers, including fragmentomics and cell-free DNA methylation patterns
• Microbiome-derived biomarkers and their clinical implications
• AI-powered integrative models for biomarker discovery and dynamic disease prediction

Keywords: biomarker, non-coding RNA, extracellular vesicle proteomics, multi-omics, bioinformatics, machine learning, micro-RNA, lncRNA, circRNA, proteomics, metabolic biomarker, fragmentomics, microbiome

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.