Inhibition of Histone Deacetylase 6 (HDAC6) as a therapeutic strategy for Alzheimer's disease: A review (2010–2020)

2021 ◽  
Vol 226 ◽  
pp. 113874
Author(s):  
Yunheng Li ◽  
Shenghu Sang ◽  
Weijie Ren ◽  
Yuqiong Pei ◽  
Yaoyao Bian ◽  
...  
2019 ◽  
Vol 15 ◽  
pp. P1289-P1289
Author(s):  
Mohammed M. Alhadidy ◽  
Ahlam S. Soliman ◽  
Amber M. Tetlow ◽  
Betul Kara ◽  
Alan Kozikowski ◽  
...  

2020 ◽  
Vol 20 (19) ◽  
pp. 1661-1676 ◽  
Author(s):  
Valeria V. Kleandrova ◽  
Alejandro Speck-Planche

Background: Alzheimer’s disease is characterized by a progressive pattern of cognitive and functional impairment, which ultimately leads to death. Computational approaches have played an important role in the context of drug discovery for anti-Alzheimer's therapies. However, most of the computational models reported to date have been focused on only one protein associated with Alzheimer's, while relying on small datasets of structurally related molecules. Objective: We introduce the first model combining perturbation theory and machine learning based on artificial neural networks (PTML-ANN) for simultaneous prediction and design of inhibitors of three Alzheimer’s disease-related proteins, namely glycogen synthase kinase 3 beta (GSK3B), histone deacetylase 1 (HDAC1), and histone deacetylase 6 (HDAC6). Methods: The PTML-ANN model was obtained from a dataset retrieved from ChEMBL, and it relied on a classification approach to predict chemicals as active or inactive. Results: The PTML-ANN model displayed sensitivity and specificity higher than 85% in both training and test sets. The physicochemical and structural interpretation of the molecular descriptors in the model permitted the direct extraction of fragments suggested to favorably contribute to enhancing the multitarget inhibitory activity. Based on this information, we assembled ten molecules from several fragments with positive contributions. Seven of these molecules were predicted as triple target inhibitors while the remaining three were predicted as dual-target inhibitors. The estimated physicochemical properties of the designed molecules complied with Lipinski’s rule of five and its variants. Conclusion: This work opens new horizons toward the design of multi-target inhibitors for anti- Alzheimer's therapies.


2018 ◽  
Vol 61 (16) ◽  
pp. 7087-7102 ◽  
Author(s):  
Hsueh-Yun Lee ◽  
Sheng-Jun Fan ◽  
Fang-I Huang ◽  
Hsin-Yi Chao ◽  
Kai-Cheng Hsu ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tomohiro Onishi ◽  
Ryouta Maeda ◽  
Michiko Terada ◽  
Sho Sato ◽  
Takahiro Fujii ◽  
...  

AbstractAccumulation of tau protein is a key pathology of age-related neurodegenerative diseases such as Alzheimer's disease and progressive supranuclear palsy. Those diseases are collectively termed tauopathies. Tau pathology is associated with axonal degeneration because tau binds to microtubules (MTs), a component of axon and regulates their stability. The acetylation state of MTs contributes to stability and histone deacetylase 6 (HDAC6) is a major regulator of MT acetylation status, suggesting that pharmacological HDAC6 inhibition could improve axonal function and may slow the progression of tauopathy. Here we characterize N-[(1R,2R)-2-{3-[5-(difluoromethyl)-1,3,4-oxadiazol-2-yl]-5-oxo-5H,6H,7H-pyrrolo[3,4-b]pyridin-6-yl}cyclohexyl]-2,2,3,3,3-pentafluoropropanamide (T-518), a novel, potent, highly selective HDAC6 inhibitor with clinically favorable pharmacodynamics. T-518 shows potent inhibitory activity against HDAC6 and superior selectivity over other HDACs compared with the known HDAC6 inhibitors in the enzyme and cellular assays. T-518 showed brain penetration in an oral dose and blocked HDAC6-dependent tubulin deacetylation at Lys40 in mouse hippocampus. A 2-week treatment restored impaired axonal transport and novel object recognition in the P301S tau Tg mouse, tauopathy model, while a 3-month treatment also decreased RIPA-insoluble tau accumulation. Pharmaceutical inhibition of HDAC6 is a potential therapeutic strategy for tauopathy, and T-518 is a particularly promising drug candidate.


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