Lipidomic and Metabolomic Analysis of Neurodegenerative Diseases
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 913
Special Issue Editor
Interests: bioinformatics; computational biomedicine; drug discovery, molecular analysis, biomarkers; neurodegenerative diseases
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neurodegenerative diseases are characterized by progressive neuronal dysfunction and widespread metabolic alterations. Lipidomic and metabolomic analyses have revealed systemic and cellular metabolic changes that contribute to oxidative stress, impaired energy homeostasis, and disease-specific pathology. Integrating multi-omics approaches with advanced data analysis, bioinformatics pipelines, and artificial intelligence models provides a systems-level understanding of these interconnected pathways and helps identify potential biomarkers and therapeutic targets across different neurodegenerative conditions.
This Special Issue aims to highlight recent studies investigating lipidomic and metabolomic alterations in neurodegenerative diseases using diverse experimental contexts, including patient samples, biofluids, cellular models, in vitro assays, in vivo studies, and animal models. Emphasis is placed on multi-omics integration, AI-driven analyses, and bioinformatics approaches to dissect complex datasets, uncover mechanistic insights, and identify translational biomarkers. Contributions that advance our understanding of metabolic dysregulation and explore innovative strategies for diagnosis, monitoring, and therapeutic intervention are particularly welcome.
Dr. Marios Krokidis
Guest Editor
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Keywords
- neurodegenerative diseases
- metabolomics
- lipidomics
- biofluids and patient samples
- cellular models
- animal models
- mass-spectrometry
- nuclear magnetic resonance
- biomarkers
- artifical intelligence
- multi-omics analysis
- bioinformatics
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