ArticleProgress in brain research2023
Evolutionary and genomic perspectives of brain aging and neurodegenerative diseases.
Article in Progress in brain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
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- Cat brains age like humans: translating time shows pet cats live to be natural models for human aging.Biology open · 2026Article
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- Recent advances in model systems for interrogating diseases of brain aging and associated dementia: Toward human-relevant endophenotypes.Current opinion in neurobiology · 2025Review
- Movement disorders: a brief overview from an evolutionary perspective.Journal of neural transmission (Vienna, Austria : 1996) · 2025Review
- Maximum lifespan and brain size in mammals are associated with gene family size expansion related to immune system functions.Scientific reports · 2025Article
- From Circuits to Lifespan: Translating Mouse and Human Timelines with Neuroimaging-Based Tractography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Translating time: Challenges, progress, and future directions.Brain research bulletin · 2025Review
- Evolutionary perspectives on mRNA signatures of neurodegeneration-related brain remodelling.Brain : a journal of neurology · 2024Article
- From circuits to lifespan: translating mouse and human timelines with neuroimaging based tractography.bioRxiv : the preprint server for biology · 2024Article
- Going beyond established model systems of Alzheimer's disease: companion animals provide novel insights into the neurobiology of aging.Communications biology · 2023Review
- From fossils to mind.Communications biology · 2023Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
This chapter utilizes genomic concepts and evolutionary perspectives to further understand the possible links between typical brain aging and neurodegenerative diseases, focusing on the two most prevalent of these: Alzheimer's disease and Parkinson's disease. Aging is the major risk factor for these neurodegenerative diseases. Researching the evolutionary and molecular underpinnings of aging helps to reveal elements of the typical aging process that leave individuals more vulnerable to neurodegenerative pathologies. Very little is known about the prevalence and susceptibility of neurodegenerative diseases in nonhuman species, as only a few individuals have been observed with these neuropathologies. However, several studies have investigated the evolution of lifespan, which is closely connected with brain size in mammals, and insights can be drawn from these to enrich our understanding of neurodegeneration. This chapter explores the relationship between the typical aging process and the events in neurodegeneration. First, we examined how age-related processes can increase susceptibility to neurodegenerative diseases. Second, we assessed to what extent neurodegeneration is an accelerated form of aging. We found that while at the phenotypic level both neurodegenerative diseases and the typical aging process share some characteristics, at the molecular level they show some distinctions in their profiles, such as variation in genes and gene expression. Furthermore, neurodegeneration of the brain is associated with an earlier onset of cellular, molecular, and structural age-related changes. In conclusion, a more integrative view of the aging process, both from a molecular and an evolutionary perspective, may increase our understanding of neurodegenerative diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.