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Sun Y, Islam S, Michikawa M, Zou K. Presenilin: A Multi-Functional Molecule in the Pathogenesis of Alzheimer's Disease and Other Neurodegenerative Diseases. Int J Mol Sci 2024; 25:1757. [PMID: 38339035 PMCID: PMC10855926 DOI: 10.3390/ijms25031757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024] Open
Abstract
Presenilin, a transmembrane protein primarily known for its role in Alzheimer's disease (AD) as part of the γ-secretase complex, has garnered increased attention due to its multifaceted functions in various cellular processes. Recent investigations have unveiled a plethora of functions beyond its amyloidogenic role. This review aims to provide a comprehensive overview of presenilin's diverse roles in AD and other neurodegenerative disorders. It includes a summary of well-known substrates of presenilin, such as its involvement in amyloid precursor protein (APP) processing and Notch signaling, along with other functions. Additionally, it highlights newly discovered functions, such as trafficking function, regulation of ferritin expression, apolipoprotein E (ApoE) secretion, the interaction of ApoE and presenilin, and the Aβ42-to-Aβ40-converting activity of ACE. This updated perspective underscores the evolving landscape of presenilin research, emphasizing its broader impact beyond established pathways. The incorporation of these novel findings accentuates the dynamic nature of presenilin's involvement in cellular processes, further advancing our comprehension of its multifaceted roles in neurodegenerative disorders. By synthesizing evidence from a range of studies, this review sheds light on the intricate web of presenilin functions and their implications in health and disease.
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Affiliation(s)
- Yang Sun
- Department of Biochemistry, Graduate School of Medical Sciences, Nagoya City University, Nagoya 467-8601, Japan; (Y.S.); (S.I.)
| | - Sadequl Islam
- Department of Biochemistry, Graduate School of Medical Sciences, Nagoya City University, Nagoya 467-8601, Japan; (Y.S.); (S.I.)
| | - Makoto Michikawa
- Department of Geriatric Medicine, School of Life Dentistry at Niigata, The Nippon Dental University, Niigata 951-8580, Japan;
| | - Kun Zou
- Department of Biochemistry, Graduate School of Medical Sciences, Nagoya City University, Nagoya 467-8601, Japan; (Y.S.); (S.I.)
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Makkai G, Abraham IM, Barabas K, Godo S, Ernszt D, Kovacs T, Kovacs G, Szocs S, Janosi TZ. Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements. Front Neuroinform 2023; 17:1005936. [PMID: 36970656 PMCID: PMC10031098 DOI: 10.3389/fninf.2023.1005936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 02/21/2023] [Indexed: 03/11/2023] Open
Abstract
The rapid effects of estradiol on membrane receptors are in the focus of the estradiol research field, however, the molecular mechanisms of these non-classical estradiol actions are poorly understood. Since the lateral diffusion of membrane receptors is an important indicator of their function, a deeper understanding of the underlying mechanisms of non-classical estradiol actions can be achieved by investigating receptor dynamics. Diffusion coefficient is a crucial and widely used parameter to characterize the movement of receptors in the cell membrane. The aim of this study was to investigate the differences between maximum likelihood-based estimation (MLE) and mean square displacement (MSD) based calculation of diffusion coefficients. In this work we applied both MSD and MLE to calculate diffusion coefficients. Single particle trajectories were extracted from simulation as well as from α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor tracking in live estradiol-treated differentiated PC12 (dPC12) cells. The comparison of the obtained diffusion coefficients revealed the superiority of MLE over the generally used MSD analysis. Our results suggest the use of the MLE of diffusion coefficients because as it has a better performance, especially for large localization errors or slow receptor movements.
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Affiliation(s)
- Geza Makkai
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Nano-Bio-Imaging Core Facility at the Szentágothai Research Centre of the University of Pécs, Pécs, Hungary
| | - Istvan M. Abraham
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Klaudia Barabas
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Soma Godo
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - David Ernszt
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Tamas Kovacs
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Gergely Kovacs
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Centre for Neuroscience, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Szilard Szocs
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
| | - Tibor Z. Janosi
- Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary
- Nano-Bio-Imaging Core Facility at the Szentágothai Research Centre of the University of Pécs, Pécs, Hungary
- *Correspondence: Tibor Z. Janosi,
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Toledano-Díaz A, Álvarez MI, Toledano A. The relationships between neuroglial alterations and neuronal changes in Alzheimer's disease, and the related controversies I: Gliopathogenesis and glioprotection. J Cent Nerv Syst Dis 2022; 14:11795735221128703. [PMID: 36238130 PMCID: PMC9551335 DOI: 10.1177/11795735221128703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Since Alois Alzheimer described the pathology of Alzheimer's disease in 1907, an increasing number of studies have attempted to discover its causes and possible ways to treat it. For decades, research has focused on neuronal degeneration and the disruption to the neural circuits that occurs during disease progression, undervaluing in some extent the alterations to glial cells even though these alterations were described in the very first studies of this disease. In recent years, it has been recognized that different families of neuroglia are not merely support cells for neurons but rather key and active elements in the physiology and pathology of the nervous system. Alterations to different types of neuroglia (especially astroglia and microglia but also mature oligodendroglia and oligodendroglial progenitors) have been identified in the initial neuropathological changes that lead to dementia, suggesting that they may represent therapeutic targets to prevent neurodegeneration. In this review, based on our own studies and on the relevant scientific literature, we argue that a careful and in-depth study of glial cells will be fundamental to understanding the origin and progression of Alzheimer's disease. In addition, we analyze the main issues regarding the neuroprotective and neurotoxic role of neuroglial changes, reactions and/or involutions in both humans with Alzheimer's disease and in experimental models of this condition.
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