SOURCE-LINKED INTELLIGENCE

New molecular understanding of mental disorders through deep cerebrospinal fluid phenotyping

CORDIS · observation · Publication date unknown

lomics and proteomics to identify disease relevant metabolites and proteins in the CSF, increasing the understanding of molecular mechanisms of psychiatric symptoms and diagnosis. Systems biology and deep learning approaches will provide crucial insights into biological pathways and the interplay between brain pathophysiological mechanisms in a cross-diagnostic manner, potentially identifying biologically distinct clusters, disentangling the involved molecular mechanisms. This approach is unprecedented. Identification of novel therapeutic targets, increasing the understanding of mental disorders and insights to molecular mechanisms through deep CSF phenotyping has a ground-breaking potential for psychiatry and neuroscience - paving the way for more effective and mechanism-based treatment. Mental disorders, Psychotic disorders, Schizophrenia, Depression, Mood Disorders, Neuroimmunology, single cell sequencing, metabolomics, proteomics, machine learning, deep learning, systems biology, public health, health care research

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recordType

award

status

SIGNED

region

EU

value

1499070

unit

EUR