The DOI matches its Crossref record; 181 of the 182 references it cites were found in a registry or an index.
Mouse models of ageing and their relevance to disease
Open accessAbstract
Ageing is a process that gradually increases the organism's vulnerability to death. It affects different biological pathways, and the underlying cellular mechanisms are complex. In view of the growing disease burden of ageing populations, increasing efforts are being invested in understanding the pathways and mechanisms of ageing. We review some mouse models commonly used in studies on ageing, highlight the advantages and disadvantages of the different strategies, and discuss their relevance to disease susceptibility. In addition to addressing the genetics and phenotypic analysis of mice, we discuss examples of models of delayed or accelerated ageing and their modulation by caloric restriction.
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“aging biology differs between rodents and humans, and findings from a mouse model may not fully translate to human liver [5,51,52].”
From Fluorescence-Guided Spatial Mapping of p21-Expressing Senescent Cells in Aged Liver at Single-Cell Resolution (2026) · cites this paper as [52]
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“The identification of specific mutations causing these syndromes has enabled the development of mouse models that simulate premature aging.304”
From Inflammation and aging: signaling pathways and intervention therapies (2023) · cites this paper as [304]
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2 retracted
Safdar, A., Bourgeois, J. M., Ogborn, D. I., Little, J. P., Hettinga, B. P., Akhtar, M., Thompson, J. E., Melov, S., Mocellin, N. J., Kujoth, G. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019581108 · Cited by 320
RetractedRETRACTED ARTICLE:Exercise-induced mitochondrial p53 repairs mtDNA mutations in mutator mice
Safdar, A., Khrapko, K., Flynn, J. M., Saleem, A., Lisio, M. D., Johnston, A. P. W., Kratysberg, Y., Samjoo, I. A., Kitaoka, Y., Ogborn, D. I., et al. (2015) · Skeletal Muscle · doi:10.1186/s13395-016-0075-9 · Cited by 68
RetractedInterleukin-10-deficient mice develop chronic enterocolitis
Kühn, R., Löhler, J., Rennick, D. M., Rajewsky, K., & Müller, W. (1993) · Cell · doi:10.1016/0092-8674(93)80068-p · Cited by 4,248
Chronic Inflammation (Inflammaging) and Its Potential Contribution to Age-Associated Diseases
Franceschi, C., & Campisi, J. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu057 · Cited by 3,891
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
Extending Healthy Life Span—From Yeast to Humans
Fontana, L., Partridge, L., & Longo, V. D. (2010) · Science · doi:10.1126/science.1172539 · Cited by 3,023
IL-10 inhibits cytokine production by activated macrophages
Fiorentino, D. F., Zlotnik, A., Mosmann, T. R., Howard, M., & O’Garra, A. (1991) · The Journal of Immunology · doi:10.4049/jimmunol.147.11.3815 · Cited by 2,888
Premature ageing in mice expressing defective mitochondrial DNA polymerase
Trifunovic, A., Wredenberg, A., Falkenberg, M., Spelbrink, J. N., Rovio, A. T., Bruder, C. E., Bohlooly-Y, M., Gidlöf, S., Oldfors, A., Wibom, R., et al. (2004) · Nature · doi:10.1038/nature02517 · Cited by 2,734
Lakatta, E. G., & Levy, D. (2003) · Circulation · doi:10.1161/01.cir.0000048892.83521.58 · Cited by 2,244
Research works printed but not linked: 1
- Liao, 2010, Genetic variation in the murine lifespan response to dietary restriction: from life extension to life shortening, Aging Cell, 9, 92, 10.1111/j.1474-9726.2009.00533.x · DOI · Paper page
Cited by
Sorted by citations
Inflammation and aging: signaling pathways and intervention therapies
Li, X., Li, C., Zhang, W., Wang, Y., Qian, P., & Huang, H. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01502-8 · Cited by 1,443
“The identification of specific mutations causing these syndromes has enabled the development of mouse models that simulate premature aging.(304) For instance, mouse models of HGPS have been created by modifying the Lmna gene or its processing enzyme.”
BackgroundBiomarkers of aging for the identification and evaluation of longevity interventions
Moqri, M., Herzog, C., Poganik, J. R., Justice, J., Belsky, D. W., Higgins-Chen, A., Moskalev, A., Fuellen, G., Cohen, A. A., Bautmans, I., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.003 · Cited by 736
Loss of epigenetic information as a cause of mammalian aging
Yang, J.-H., Hayano, M., Griffin, P. T., Amorim, J. A., Bonkowski, M. S., Apostolides, J. K., Salfati, E. L., Blanchette, M., Munding, E. M., Bhakta, M., et al. (2023) · Cell · doi:10.1016/j.cell.2022.12.027 · Cited by 643
Yanai, S., & Endo, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.697621 · Cited by 171
Cardiac ageing: extrinsic and intrinsic factors in cellular renewal and senescence
Gude, N. A., Broughton, K. M., Firouzi, F., & Sussman, M. A. (2018) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0061-5 · Cited by 172
Metadata
- Authors
- Kõks, S., Dogan, S., Tuna, B. G., González-Navarro, H., Potter, P., & Vandenbroucke, R. E.
- Affiliations
- Estonian University of Life Sciences (EE)
- Mary Lyon Centre at MRC Harwell (GB)
- Ghent University (BE)
- Corresponding author
- Vandenbroucke, Roosmarijn E.
- Venue
- Mechanisms of Ageing and Development
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 160
- Pages
- 41-53
- ISSN
- 0047-6374 (ISSN-L)
- OpenAlex
- W2529858651
- Cited by
- 125
- References
- 182
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 16 · 2023: 16 · 2022: 15 · 2021: 15 · 2020: 6 · 2019: 18 · 2018: 12 · 2017: 4
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Mechanisms of Ageing and Development (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
- Murdoch University Research Portal (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Antioxidants, Aging, Portulaca oleracea
- Keywords
- aging, accelerated aging, caloric restriction, disease susceptibility, phenotypic characterization
- MeSH terms
- Aging, Animals, Humans, Models, Biological, Mice
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