Understanding the molecular basis of resilience to Alzheimer’s disease
The cellular and molecular distinction between brain aging and neurodegenerative disease begins to blur in the oldest old. Approximately 15–25% of observations in humans do not fit predicted clinical manifestations, likely the result of suppressed damage despite usually adequate stressors and of res...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1311157/full |
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| author | Kathleen S. Montine Eloïse Berson Eloïse Berson Thanaphong Phongpreecha Thanaphong Phongpreecha Zhi Huang Zhi Huang Nima Aghaeepour Nima Aghaeepour James Y. Zou James Y. Zou Michael J. MacCoss Thomas J. Montine |
| author_facet | Kathleen S. Montine Eloïse Berson Eloïse Berson Thanaphong Phongpreecha Thanaphong Phongpreecha Zhi Huang Zhi Huang Nima Aghaeepour Nima Aghaeepour James Y. Zou James Y. Zou Michael J. MacCoss Thomas J. Montine |
| author_sort | Kathleen S. Montine |
| collection | DOAJ |
| description | The cellular and molecular distinction between brain aging and neurodegenerative disease begins to blur in the oldest old. Approximately 15–25% of observations in humans do not fit predicted clinical manifestations, likely the result of suppressed damage despite usually adequate stressors and of resilience, the suppression of neurological dysfunction despite usually adequate degeneration. Factors during life may predict the clinico-pathologic state of resilience: cardiovascular health and mental health, more so than educational attainment, are predictive of a continuous measure of resilience to Alzheimer’s disease (AD) and AD-related dementias (ADRDs). In resilience to AD alone (RAD), core features include synaptic and axonal processes, especially in the hippocampus. Future focus on larger and more diverse cohorts and additional regions offer emerging opportunities to understand this counterforce to neurodegeneration. The focus of this review is the molecular basis of resilience to AD. |
| first_indexed | 2024-03-08T22:02:36Z |
| format | Article |
| id | doaj.art-dfe0e267fc23495c84e5dd3daccf924d |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-03-08T22:02:36Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-dfe0e267fc23495c84e5dd3daccf924d2023-12-19T11:01:17ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-12-011710.3389/fnins.2023.13111571311157Understanding the molecular basis of resilience to Alzheimer’s diseaseKathleen S. Montine0Eloïse Berson1Eloïse Berson2Thanaphong Phongpreecha3Thanaphong Phongpreecha4Zhi Huang5Zhi Huang6Nima Aghaeepour7Nima Aghaeepour8James Y. Zou9James Y. Zou10Michael J. MacCoss11Thomas J. Montine12Department of Pathology, Stanford University, Stanford, CA, United StatesDepartment of Pathology, Stanford University, Stanford, CA, United StatesDepartment of Anesthesiology, Stanford University, Stanford, CA, United StatesDepartment of Pathology, Stanford University, Stanford, CA, United StatesDepartment of Anesthesiology, Stanford University, Stanford, CA, United StatesDepartment of Pathology, Stanford University, Stanford, CA, United StatesDepartment of Biomedical Data Science, Stanford University, Stanford, CA, United StatesDepartment of Anesthesiology, Stanford University, Stanford, CA, United StatesDepartment of Biomedical Data Science, Stanford University, Stanford, CA, United StatesDepartment of Biomedical Data Science, Stanford University, Stanford, CA, United StatesDepartment of Computer Science, Stanford University, Stanford, CA, United StatesDepartment of Genome Sciences, University of Washington, Seattle, WA, United StatesDepartment of Pathology, Stanford University, Stanford, CA, United StatesThe cellular and molecular distinction between brain aging and neurodegenerative disease begins to blur in the oldest old. Approximately 15–25% of observations in humans do not fit predicted clinical manifestations, likely the result of suppressed damage despite usually adequate stressors and of resilience, the suppression of neurological dysfunction despite usually adequate degeneration. Factors during life may predict the clinico-pathologic state of resilience: cardiovascular health and mental health, more so than educational attainment, are predictive of a continuous measure of resilience to Alzheimer’s disease (AD) and AD-related dementias (ADRDs). In resilience to AD alone (RAD), core features include synaptic and axonal processes, especially in the hippocampus. Future focus on larger and more diverse cohorts and additional regions offer emerging opportunities to understand this counterforce to neurodegeneration. The focus of this review is the molecular basis of resilience to AD.https://www.frontiersin.org/articles/10.3389/fnins.2023.1311157/fullagingcognitioncomputational modelsdementiaproteomic analysisneuropathologic lesion |
| spellingShingle | Kathleen S. Montine Eloïse Berson Eloïse Berson Thanaphong Phongpreecha Thanaphong Phongpreecha Zhi Huang Zhi Huang Nima Aghaeepour Nima Aghaeepour James Y. Zou James Y. Zou Michael J. MacCoss Thomas J. Montine Understanding the molecular basis of resilience to Alzheimer’s disease Frontiers in Neuroscience aging cognition computational models dementia proteomic analysis neuropathologic lesion |
| title | Understanding the molecular basis of resilience to Alzheimer’s disease |
| title_full | Understanding the molecular basis of resilience to Alzheimer’s disease |
| title_fullStr | Understanding the molecular basis of resilience to Alzheimer’s disease |
| title_full_unstemmed | Understanding the molecular basis of resilience to Alzheimer’s disease |
| title_short | Understanding the molecular basis of resilience to Alzheimer’s disease |
| title_sort | understanding the molecular basis of resilience to alzheimer s disease |
| topic | aging cognition computational models dementia proteomic analysis neuropathologic lesion |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1311157/full |
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