Semantic Scholar Open Access 2018 374 sitasi

Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications

M. Uddin A. Stachowiak A. Mamun N. Tzvetkov S. Takeda +4 lainnya

Abstrak

Alzheimer’s disease (AD) is the most common cause of progressive dementia in the elderly. It is characterized by a progressive and irreversible loss of cognitive abilities and formation of senile plaques, composed mainly of amyloid β (Aβ), and neurofibrillary tangles (NFTs), composed of tau protein, in the hippocampus and cortex of afflicted humans. In brains of AD patients the metabolism of Aβ is dysregulated, which leads to the accumulation and aggregation of Aβ. Metabolism of Aβ and tau proteins is crucially influenced by autophagy. Autophagy is a lysosome-dependent, homeostatic process, in which organelles and proteins are degraded and recycled into energy. Thus, dysfunction of autophagy is suggested to lead to the accretion of noxious proteins in the AD brain. In the present review, we describe the process of autophagy and its importance in AD. Additionally, we discuss mechanisms and genes linking autophagy and AD, i.e., the mTOR pathway, neuroinflammation, endocannabinoid system, ATG7, BCL2, BECN1, CDK5, CLU, CTSD, FOXO1, GFAP, ITPR1, MAPT, PSEN1, SNCA, UBQLN1, and UCHL1. We also present pharmacological agents acting via modulation of autophagy that may show promise in AD therapy. This review updates our knowledge on autophagy mechanisms proposing novel therapeutic targets for the treatment of AD.

Topik & Kata Kunci

Penulis (9)

M

M. Uddin

A

A. Stachowiak

A

A. Mamun

N

N. Tzvetkov

S

S. Takeda

A

A. Atanasov

L

L. Bergantin

M

Mohamed M. Abdel-Daim

A

A. Stankiewicz

Format Sitasi

Uddin, M., Stachowiak, A., Mamun, A., Tzvetkov, N., Takeda, S., Atanasov, A. et al. (2018). Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications. https://doi.org/10.3389/fnagi.2018.00004

Akses Cepat

Lihat di Sumber doi.org/10.3389/fnagi.2018.00004
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
374×
Sumber Database
Semantic Scholar
DOI
10.3389/fnagi.2018.00004
Akses
Open Access ✓