The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Insulin Signaling and Dietary Restriction Differentially Influence the Decline of Learning and Memory with Age
Open accessAbstract
Of all the age-related declines, memory loss is one of the most devastating. While conditions that increase longevity have been identified, the effects of these longevity-promoting factors on learning and memory are unknown. Here we show that the C. elegans Insulin/IGF-1 receptor mutant daf-2 improves memory performance early in adulthood and maintains learning ability better with age but, surprisingly, demonstrates no extension in long-term memory with age. By contrast, eat-2 mutants, a model of Dietary Restriction (DR), exhibit impaired long-term memory in young adulthood but maintain this level of memory longer with age. We find that crh-1, the C. elegans homolog of the CREB transcription factor, is required for long-term associative memory, but not for learning or short-term memory. The expression of crh-1 declines with age and differs in the longevity mutants, and CREB expression and activity correlate with memory performance. Our results suggest that specific longevity treatments have acute and long-term effects on cognitive functions that decline with age through their regulation of rate-limiting genes required for learning and memory.
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Cites
Sirtuin activators mimic caloric restriction and delay ageing in metazoans
Wood, J. G., Rogina, B., Lavu, S., Howitz, K., Helfand, S. L., Tatar, M., & Sinclair, D. (2004) · Nature · doi:10.1038/nature02789 · Cited by 1,868
Silva, A. J., Kogan, J. H., Frankland, P. W., & Kida, S. (1998) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.21.1.127 · Cited by 1,462
Life and Death of Neurons in the Aging Brain
Morrison, J. H., & Hof, P. R. (1997) · Science · doi:10.1126/science.278.5337.412 · Cited by 1,344
Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans
Herndon, L. A., Schmeissner, P. J., Dudaronek, J. M., Brown, P. A., Listner, K. M., Sakano, Y., Paupard, M. C., Hall, D. H., & Driscoll, M. (2002) · Nature · doi:10.1038/nature01135 · Cited by 1,214
Functionally significant insulin-like growth factor I receptor mutations in centenarians
Suh, Y., Atzmon, G., Cho, M.-O., Hwang, D., Liu, B., Leahy, D. J., Barzilai, N., & Cohen, P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705467105 · Cited by 703
The Phosphatase SHP2 Regulates the Spacing Effect for Long-Term Memory Induction
Pagani, M. R., Oishi, K., Gelb, B. D., & Zhong, Y. (2009) · Cell · doi:10.1016/j.cell.2009.08.033 · Cited by 157
Beck, C. D. O., Schroeder, B., & Davis, R. L. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-08-02944.2000 · Cited by 120
Cited by
Fang, E. F., Kassahun, H., Croteau, D. L., Scheibye-Knudsen, M., Marosi, K., Lu, H., Shamanna, R. A., Kalyanasundaram, S., Bollineni, R. C., Wilson, M. A., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.004 · Cited by 575
Insulin/insulin-like growth factor signaling in C. elegans
Murphy, C. T. (2013) · WormBook · doi:10.1895/wormbook.1.164.1 · Cited by 532
Self-citationAging, Rejuvenation, and Epigenetic Reprogramming: Resetting the Aging Clock
Rando, T. A., & Chang, H. Y. (2012) · Cell · doi:10.1016/j.cell.2012.01.003 · Cited by 520
Fox transcription factors: from development to disease
Golson, M. L., & Kaestner, K. H. (2016) · Development · doi:10.1242/dev.112672 · Cited by 406
Characterization of the direct targets of FOXO transcription factors throughout evolution
Webb, A. E., Kundaje, A., & Brunet, A. (2016) · Aging Cell · doi:10.1111/acel.12479 · Cited by 182
“Intriguingly, the bZIP family of transcription factors includes CREB, which has been implicated in lifespan regulation and loss of learning and memory with age in worms (Kauffman et al., 2010; Mair et al., 2011).”
BackgroundInfluential
Metadata
- Authors
- Kauffman, A. L., Ashraf, J. M., Corces-Zimmerman, M. R., Landis, J. N., & Murphy, C. T.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-05-18
- Volume
- 8
- Issue
- 5
- Pages
- e1000372
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2069954455
- Cited by
- 283
- References
- 7
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- gold
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