Metabolomics Biomarkers for Rehabilitation Outcomes in Neurodegenerative Diseases
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Integrative Metabolomics".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 385
Special Issue Editors
Interests: neurodegenerative diseases (dementias, Parkinson's disease, motor neuron diseases); neurorehabilitation; neuropharmacology; neuroimmunology; neuropsychology
Special Issues, Collections and Topics in MDPI journals
Interests: neuron biomarkers; neuron derived exosomes; miRNomics; proteomics
Interests: neurodegenerative disease models; human cerebral organoids; human neurospheres and neural stem cells; neuromorphology; neuroprotection
Interests: motor and cognitive rehabilitation; neurology; neuropsychology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The principal topic of this Special Issue is to explore the impact of fluid biomarkers, and proteomic and metabolomic profiles, as indicators predicting outcome or individuating specific treatment needs during the rehabilitation of patients with neurodegenerative diseases.
The identification of biomarkers, as well as the investigation of proteomic and metabolomic profiling in order to highlight the specific treatment response of patients who have survived stroke or are suffering from a chronic neurological disorder, is currently one of the major topics in neurodegenerative diseases. Indeed, based on their detection, the fluid biomarkers are objectively measurable and evaluable potential indicators predicting not only the disease progression, but also both pharmacological and non-pharmacological treatment responses. Similarly, the examination of specific assays recently provided a metabolomic signature highly predictive of Parkinson’s disease and Alzheimer’s disease.
Dr. Paolo Bongioanni
Dr. Renata Del Carratore
Dr. Andrea Diana
Dr. Cristina Dolciotti
Guest Editors
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Keywords
- neurodegenerative disease(s): e.g., Dementias, Parkinson’s disease, Motor neuron diseases
- mild cognitive impairment
- neurorehabilitation
- biomarkers
- metabolomics and proteomics
- neurodegenerative models
- neuromodulatory devices
- machine learning techniques
- artificial intelligence
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