The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Human models of aging and longevity
Abstract
BACKGROUND: The aging phenotype in humans is very heterogeneous and can be described as a complex mosaic resulting from the interaction of a variety of environmental, stochastic and genetic-epigenetic variables. Therefore, each old person must be considered as a singleton, and consequently the definition of 'aging phenotype' is very difficult. OBJECTIVE: We discuss the phenotype of centenarians, the best example of successful aging, as well as other models exploited to study human aging and longevity, such as families enriched in long-living subjects, twins and cohorts of unrelated subjects. METHODS: A critical review of literature available until March 2008. CONCLUSIONS: No single model can be considered the gold standard for the study of aging and longevity, instead the combination of results obtained from different models must be considered in order to better understand these complex phenomena. We propose that a systems biology concept such as that of 'bow-tie' architecture, useful for managing information flow, could help in this demanding task.
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Cites
Jaenisch, R., & Bird, A. (2003) · Nature Genetics · doi:10.1038/ng1089 · Cited by 6,325
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Herskind, A. M., McGue, M., Holm, N. V., Sørensen, T. I. A., Harvald, B., & Vaupel, J. W. (1996) · Human Genetics · doi:10.1007/bf02185763 · Cited by 879
Increased cytokine production in mononuclear cells of healthy elderly people
Fagiolo, U., Cossarizza, A., Scala, E., Fanales‐Belasio, E., Ortolani, C., Cozzi, E., Monti, D., Franceschi, C., & Paganelli, R. (1993) · European Journal of Immunology · doi:10.1002/eji.1830230950 · Cited by 665
Self-citationFranceschi, C., Bonafè, M., & Valensin, S. (2000) · Vaccine · doi:10.1016/s0264-410x(99)00513-7 · Cited by 495
Self-citationBow ties, metabolism and disease
Csete, M., & Doyle, J. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.07.007 · Cited by 468
A Twin Study of Genetic Relationships Between Psychotic Symptoms
Cardno, A. G., Rijsdijk, F. V., Sham, P. C., Murray, R. M., & McGuffin, P. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.4.539 · Cited by 460
Innate immunity and inflammation in ageing: a key for understanding age-related diseases
Licastro, F., Candore, G., Lio, D., Porcellini, E., Colonna-Romano, G., Franceschi, C., & Caruso, C. (2005) · Immunity & Ageing · doi:10.1186/1742-4933-2-8 · Cited by 453
An integrated epigenetic and genetic approach to common human disease
BJORNSSON, H. (2004) · Trends in Genetics · doi:10.1016/j.tig.2004.06.009 · Cited by 448
Effros, R. B., Boucher, N., Porter, V., Zhu, X., Spaulding, C., Walford, R. L., Kronenberg, M., Cohen, D., & Schächter, F. (1994) · Experimental Gerontology · doi:10.1016/0531-5565(94)90073-6 · Cited by 377 · cited 1×
“Hence, a complex interaction of environmental, historical and genetic factors that characterize the different parts of Italy probably plays an important role in determining the gender-specific probability of achieving longevity [1,35-40] .”
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Cited by
Gut Microbiota and Extreme Longevity
Biagi, E., Franceschi, C., Rampelli, S., Severgnini, M., Ostan, R., Turroni, S., Consolandi, C., Quercia, S., Scurti, M., Monti, D., et al. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.016 · Cited by 1,025
Self-citationGanceviciene, R., Liakou, A. I., Theodoridis, A., Makrantonaki, E., & Zouboulis, C. C. (2012) · Dermato-Endocrinology · doi:10.4161/derm.22804 · Cited by 844
Cole, J. H., Ritchie, S. J., Bastin, M. E., Valdés Hernández, M. C., Muñoz Maniega, S., Royle, N., Corley, J., Pattie, A., Harris, S. E., Zhang, Q., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.62 · Cited by 831
Methylation of ELOVL 2 gene as a new epigenetic marker of age
Garagnani, P., Bacalini, M. G., Pirazzini, C., Gori, D., Giuliani, C., Mari, D., Di Blasio, A. M., Gentilini, D., Vitale, G., Collino, S., et al. (2012) · Aging Cell · doi:10.1111/acel.12005 · Cited by 473
Self-citationPersonal aging markers and ageotypes revealed by deep longitudinal profiling
Ahadi, S., Zhou, W., Schüssler-Fiorenza Rose, S. M., Sailani, M. R., Contrepois, K., Avina, M., Ashland, M., Brunet, A., & Snyder, M. (2020) · Nature Medicine · doi:10.1038/s41591-019-0719-5 · Cited by 408
Metadata
- Authors
- Cevenini, E., Invidia, L., Lescai, F., Salvioli, S., Tieri, P., Castellani, G., & Franceschi, C.
- Venue
- Expert Opinion on Biological Therapy
- Publisher
- Informa UK Limited
- Published
- 2008-08-11
- Volume
- 8
- Issue
- 9
- Pages
- 1393-1405
- ISSN
- 1471-2598 (ISSN-L)
- 1744-7682
- OpenAlex
- W2052342903
- Cited by
- 195
- References
- 15
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cevenini, E., Invidia, L., Lescai, F., Salvioli, S., Tieri, P., Castellani, G., & Franceschi, C. (2008). Human models of aging and longevity. Expert Opinion on Biological Therapy. https://doi.org/10.1517/14712598.8.9.1393
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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