1
|
Abdi G, Jain M, Patil N, Upadhyay B, Vyas N, Dwivedi M, Kaushal RS. 14-3-3 proteins-a moonlight protein complex with therapeutic potential in neurological disorder: in-depth review with Alzheimer's disease. Front Mol Biosci 2024; 11:1286536. [PMID: 38375509 PMCID: PMC10876095 DOI: 10.3389/fmolb.2024.1286536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/05/2024] [Indexed: 02/21/2024] Open
Abstract
Alzheimer's disease (AD) affects millions of people worldwide and is a gradually worsening neurodegenerative condition. The accumulation of abnormal proteins, such as tau and beta-amyloid, in the brain is a hallmark of AD pathology. 14-3-3 proteins have been implicated in AD pathology in several ways. One proposed mechanism is that 14-3-3 proteins interact with tau protein and modulate its phosphorylation, aggregation, and toxicity. Tau is a protein associated with microtubules, playing a role in maintaining the structural integrity of neuronal cytoskeleton. However, in the context of Alzheimer's disease (AD), an abnormal increase in its phosphorylation occurs. This leads to the aggregation of tau into neurofibrillary tangles, which is a distinctive feature of this condition. Studies have shown that 14-3-3 proteins can bind to phosphorylated tau and regulate its function and stability. In addition, 14-3-3 proteins have been shown to interact with beta-amyloid (Aβ), the primary component of amyloid plaques in AD. 14-3-3 proteins can regulate the clearance of Aβ through the lysosomal degradation pathway by interacting with the lysosomal membrane protein LAMP2A. Dysfunction of lysosomal degradation pathway is thought to contribute to the accumulation of Aβ in the brain and the progression of AD. Furthermore, 14-3-3 proteins have been found to be downregulated in the brains of AD patients, suggesting that their dysregulation may contribute to AD pathology. For example, decreased levels of 14-3-3 proteins in cerebrospinal fluid have been suggested as a biomarker for AD. Overall, these findings suggest that 14-3-3 proteins may play an important role in AD pathology and may represent a potential therapeutic target for the disease. However, further research is needed to fully understand the mechanisms underlying the involvement of 14-3-3 proteins in AD and to explore their potential as a therapeutic target.
Collapse
Affiliation(s)
- Gholamareza Abdi
- Department of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr, Iran
| | - Mukul Jain
- Cell and Developmental Biology Laboratory, Research and Development Cell, Parul University, Vadodara, Gujarat, India
- Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India
| | - Nil Patil
- Cell and Developmental Biology Laboratory, Research and Development Cell, Parul University, Vadodara, Gujarat, India
- Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India
| | - Bindiya Upadhyay
- Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India
| | - Nigam Vyas
- Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India
- Biophysics and Structural Biology Laboratory, Research and Development Cell, Parul University, Vadodara, Gujarat, India
| | - Manish Dwivedi
- Amity Institute of Biotechnology, Amity University, Lucknow, Uttar Pradesh, India
| | - Radhey Shyam Kaushal
- Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India
- Biophysics and Structural Biology Laboratory, Research and Development Cell, Parul University, Vadodara, Gujarat, India
| |
Collapse
|
2
|
He X, Selesnick I, Zhu M. Research Progress of Eye Movement Analyses and its Detection Algorithms in Alzheimer's Disease. Curr Alzheimer Res 2024; 21:91-100. [PMID: 38661033 DOI: 10.2174/0115672050300564240416074025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/26/2024]
Abstract
Alzheimer's disease (AD) has been considered one of the most challenging forms of dementia. The earlier the people are diagnosed with AD, the easier it is for doctors to find a treatment. Based on the previous literature summarizing the research results on the relationship between eye movement and AD before 2013, this paper reviewed 34 original eye movements research papers only closely related to AD published in the past ten years and pointed out that the prosaccade (4 papers) and antisaccade (5 papers) tasks, reading tasks (3 papers), visual search tasks (3 papers) are still the research objects of many researchers, Some researchers have looked at King-Devick tasks (2 papers), reading tasks (3 papers) and special tasks (8 papers), and began to use combinations of different saccade tasks to detect the relationship between eye movement and AD, which had not been done before. These reflect the diversity of eye movement tasks and the complexity and difficulty of the relationship between eye movement and AD. On this basis, the current processing and analysis methods of eye movement datasets are analyzed and discussed in detail, and we note that certain key data that may be especially important for the early diagnosis of AD by using eye movement studies cannot be miss-classified as noise and removed. Finally, we note that the development of methods that can accurately denoise and classify and quickly process massive eye movement data is quite significant for detecting eye movements in early diagnosis of AD.
Collapse
Affiliation(s)
- Xueying He
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, CN, USA
- Tandon School of Engineering, New York University, Brooklyn, NY, USA
| | - Ivan Selesnick
- Tandon School of Engineering, New York University, Brooklyn, NY, USA
| | - Ming Zhu
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, CN, USA
| |
Collapse
|