Fluid Biomarkers in Alzheimer's Disease and Other Neurodegenerative Disorders: Toward Integrative Diagnostic Frameworks and Tailored Treatments.
Linda GiampietriElisabetta BelliMaria Francesca BeatinoSara GiannoniGiovanni PalermoNicole CampeseGloria TognoniGabriele SicilianoRoberto CeravoloCiro De LucaFilippo BaldacciPublished in: Diagnostics (Basel, Switzerland) (2022)
The diagnosis of neurodegenerative diseases (NDDs) represents an increasing social burden, with the unsolved issue of disease-modifying therapies (DMTs). The failure of clinical trials treating Alzheimer's Disease (AD) so far highlighted the need for a different approach in drug design and patient selection. Identifying subjects in the prodromal or early symptomatic phase is critical to slow down neurodegeneration, but the implementation of screening programs with this aim will have an ethical and social aftermath. Novel minimally invasive candidate biomarkers (derived from blood, saliva, olfactory brush) or classical cerebrospinal fluid (CSF) biomarkers have been developed in research settings to stratify patients with NDDs. Misfolded protein accumulation, neuroinflammation, and synaptic loss are the pathophysiological hallmarks detected by these biomarkers to refine diagnosis, prognosis, and target engagement of drugs in clinical trials. We reviewed fluid biomarkers of NDDs, considering their potential role as screening, diagnostic, or prognostic tool, and their present-day use in clinical trials (phase II and III). A special focus will be dedicated to novel techniques for the detection of misfolded proteins. Eventually, an applicative diagnostic algorithm will be proposed to translate the research data in clinical practice and select prodromal or early patients to be enrolled in the appropriate DMTs trials for NDDs.
Keyphrases
- clinical trial
- phase ii
- healthcare
- minimally invasive
- cerebrospinal fluid
- clinical practice
- open label
- end stage renal disease
- primary care
- chronic kidney disease
- mental health
- traumatic brain injury
- machine learning
- study protocol
- social media
- randomized controlled trial
- ejection fraction
- emergency department
- big data
- robot assisted
- artificial intelligence
- brain injury
- blood brain barrier
- amino acid
- subarachnoid hemorrhage