[Focused ultrasound as a non-invasive method with therapeutic potential in patients with Alzheimer's disease].
E A KovalenkoE V MakhnovichN A OsinovskayaA N BogolepovaPublished in: Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova (2022)
Alzheimer's disease (AD) is a common, progressive neurodegenerative disease characterized by abnormal deposition of β-amyloid (Aβ) and hyperphosphorylated tau protein. Despite the fact that biomarkers and methods of treating AD are currently being actively studied, there is still no therapy that can significantly reduce the progression of this disease. Therefore, the search for therapeutic disease-modifying strategies is becoming increasingly popular. One such strategy is the use of focused ultrasound (FUS) under MRI guidance using a contrast agent (microbubbles). Under the influence of low-intensity FUS, the blood-brain barrier (BBB) is temporarily opened, which is the main obstacle to the effective delivery of therapeutic compounds to the brain, imposing dimensional and biochemical restrictions on the passage of molecules. One of the processes associated with AD is BBB dysfunction, and therefore the study of the effects of FUS in patients with AD is of interest. The literature data show the effectiveness of FUS in animal models of AD. The researchers attribute the effectiveness of the method to the fact that exposure to FUS induces the opening of BBB and reduces the number of amyloid plaques. It has also been demonstrated that FUS can facilitate the delivery of therapeutic drugs to the brain. This allows considering FUS as a new non-invasive method of treatment. Further research is needed to assess the effectiveness of this method in patients with AD.
Keyphrases
- systematic review
- randomized controlled trial
- blood brain barrier
- multiple sclerosis
- magnetic resonance
- cognitive decline
- oxidative stress
- machine learning
- contrast enhanced
- mesenchymal stem cells
- deep learning
- resting state
- small molecule
- electronic health record
- brain injury
- binding protein
- cerebral ischemia
- mild cognitive impairment
- big data