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Cited by 388

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

When neurogenesis encounters aging and disease

Open access
Lazarov, Orly, Mattson, Mark P., Peterson, Daniel A., Pimplikar, Sanjay W., van Praag, Henriette·2010·Trends in Neurosciences

Abstract

In this review, we consider the evidence that a reduction in neurogenesis underlies aging-related cognitive deficits, and impairments in disorders such as Alzheimer's disease (AD). The molecular and cellular alterations associated with impaired neurogenesis in the aging brain are discussed. Dysfunction of presenilin-1, misprocessing of amyloid precursor protein and toxic effects of hyperphosphorylated tau and β-amyloid likely contribute to impaired neurogenesis in AD. Since factors such as exercise, enrichment and dietary energy restriction enhance neurogenesis, and protect against age-related cognitive decline and AD, knowledge of the underlying neurogenic signaling pathways could lead to novel therapeutic strategies for preserving brain function. In addition, manipulation of endogenous neural stem cells and stem cell transplantation, as stand-alone or adjunct treatments, seem promising.

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Metadata

Authors
Lazarov, O., Mattson, M. P., Peterson, D. A., Pimplikar, S. W., & van Praag, H.
Venue
Trends in Neurosciences
Publisher
Elsevier BV
Published
2010-12
Volume
33
Issue
12
Pages
569-579
ISSN
0166-2236 (ISSN-L)
OpenAlex
W1972960028
Cited by
388
References
123
FWCI
1.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: When neurogenesis encounters aging and disease. https://app.cochat.ai/papers/10.1016/j.tins.2010.09.003
The paper
Lazarov, O., Mattson, M. P., Peterson, D. A., Pimplikar, S. W., & van Praag, H. (2010). When neurogenesis encounters aging and disease. Trends in Neurosciences. https://doi.org/10.1016/j.tins.2010.09.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.