Aging research using mouse models
Open accessAbstract
Despite the dramatic increase in human lifespan over the past century, there remains pronounced variability in “health‐span,” or the period of time in which one is generally healthy and free of disease. Much of the variability in health‐span and lifespan is thought to be genetic in origin. Understanding the genetic mechanisms of aging and identifying ways to boost longevity is a primary goal in aging research. Here, we describe a pipeline of phenotypic assays for assessing mouse models of aging. This pipeline includes behavior/cognition testing, body composition analysis, and tests of kidney function, hematopoiesis, and immune function, as well as physical parameters. We also describe study design methods for assessing lifespan and health‐span, and other important considerations when conducting aging research in the laboratory mouse. The tools and assays provided can assist researchers with understanding the correlative relationships between age‐associated phenotypes and, ultimately, the role of specific genes in the aging process. © 2015 by John Wiley & Sons, Inc.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
As mice age, they undergo characteristic physical and physiological changes, including alopecia, hair greying, kyphosis, decreased body weight, motion in dark phase, and reduced respiratory exchange ratio.
“As mice age, they undergo characteristic physical and physiological changes, including alopecia, hair greying, kyphosis, decreased body weight, motion in dark phase, and a reduced respiratory exchange ratio (RER) (Ackert-Bicknell et al., 2015; Harkema et al., 2016; Houtkooper et al., 2011; Koks et al., 2016).”
From Loss of epigenetic information as a cause of mammalian aging (2023) · cites this paper as Ackert-Bicknell et al., 2015
The Introduction reports age-related declines in physical function, and Commentary > Critical Parameters identifies sudden weight loss and hunched posture as signs of terminal decline in aging mice. Our copy does not substantiate alopecia, hair greying, kyphosis, a change in dark-phase motion, or reduced respiratory exchange ratio; it also does not present weight loss as a universal consequence of aging. The cited passages have no page numbers in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredWT C57BL6/J mice have a median lifespan of approximately 129 weeks, equivalent to approximately 80 years in humans.
“WT C57BL6/J mice have a median lifespan of ∼129 weeks (Yuan et al., 2012), equivalent to ∼80 years in humans (Ackert-Bicknell et al., 2015)”
From Gene Therapy-Mediated Partial Reprogramming Extends Lifespan and Reverses Age-Related Changes in Aged Mice (2024) · cites this paper as Ackert-Bicknell et al., 2015
The citation to Ackert-Bicknell et al. is attached to the claim that approximately 129 weeks in mice is equivalent to approximately 80 years in humans; the 129-week lifespan is separately cited to Yuan et al. The Introduction describes mice as models of human aging, but neither it nor the Strategic Planning passages provides this age equivalence (searched for 129 weeks, 80 years, and mouse-to-human age equivalents). (LLM, conf=0.73)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Levey, A., Eckardt, K., Tsukamoto, Y., Levin, A., Coresh, J., Rossert, J., de Zeeuw, D., Hostetter, T., Lameire, N., & Eknoyan, G. (2005) · Kidney International · doi:10.1111/j.1523-1755.2005.00365.x · Cited by 3,963 · see citing works
A new one-trial test for neurobiological studies of memory in rats. 1: behavioral data
Ennaceur, A., & Delacour, J. (1988) · Behavioural Brain Research · doi:10.1016/0166-4328(88)90157-x · Cited by 3,223 · see citing works
Broken Limits to Life Expectancy
Oeppen, J., & Vaupel, J. W. (2002) · Science · doi:10.1126/science.1069675 · Cited by 2,819 · see citing works
Kenyon, C. J. (2010) · Nature · doi:10.1038/nature08980 · Cited by 2,739 · see citing works
The open-field test: A critical review.
WALSH, R. N., & Cummins, R. A. (1976) · Psychological Bulletin · doi:10.1037/0033-2909.83.3.482 · Cited by 2,389 · see citing works
Cryan, J. F., Mombereau, C., & Vassout, A. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.03.009 · Cited by 1,674 · see citing works
T-maze alternation in the rodent
Deacon, R. M. J., & Rawlins, J. N. P. (2006) · Nature Protocols · doi:10.1038/nprot.2006.2 · Cited by 901 · see citing works
Fitzmaurice, G. M., Davidian, M., Molenberghs, G., & Molenberghs, G. (2008) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420011579 · Cited by 474 · see citing works
Global Prevalence and Economic Burden of Urgency Urinary Incontinence: A Systematic Review
Milsom, I., Coyne, K. S., Nicholson, S., Kvasz, M., Chen, C.-I., & Wein, A. J. (2013) · European Urology · doi:10.1016/j.eururo.2013.08.031 · Cited by 453 · see citing works
Newman, A. B., Lee, J. S., Visser, M., Goodpaster, B. H., Kritchevsky, S. B., Tylavsky, F. A., Nevitt, M., & Harris, T. B. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.4.872 · Cited by 445 · see citing works
Henry's Clinical Diagnosis and Management by Laboratory Methods
Renshaw, A. A. (2007) · Advances in Anatomic Pathology · doi:10.1097/pap.0b013e31803255cc · Cited by 436 · see citing works
Visual Perception and Memory: A New View of Medial Temporal Lobe Function in Primates and Rodents
Murray, E. A., Bussey, T. J., & Saksida, L. M. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113046 · Cited by 436 · see citing works
Yuan, R., Tsaih, S., Petkova, S. B., de Evsikova, C. M., Xing, S., Marion, M. A., Bogue, M. A., Mills, K. D., Peters, L. L., Bult, C. J., et al. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00478.x · Cited by 414 · see citing works
Self-citationChesler, E. J., Wilson, S. G., Lariviere, W. R., Rodriguez-Zas, S. L., & Mogil, J. S. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00103-3 · Cited by 331 · see citing works
Self-citationNagy, T. R., & Clair, A. (2000) · Obesity Research · doi:10.1038/oby.2000.47 · Cited by 293 · see citing works
On the construct validity of open-field measures.
Royce, J. R. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.6.1098 · Cited by 247 · see citing works
Paigen, K., & Eppig, J. T. (2000) · Mammalian Genome · doi:10.1007/s003350010152 · Cited by 219 · see citing works
Murabito, J. M., Yuan, R., & Lunetta, K. L. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls089 · Cited by 200 · see citing works
A new continuous alternation task in T-maze detects hippocampal dysfunction in mice
Gerlai, R. T. (1998) · Behavioural Brain Research · doi:10.1016/s0166-4328(97)00214-3 · Cited by 195 · see citing works
Svenson, K. L., Smith, R. V., Magnani, P. A., Suetin, H. R., Paigen, B. J., Naggert, J. Κ., Li, R., Churchill, G. A., & Peters, L. L. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01077.2006 · Cited by 171 · see citing works
Self-citationMice as a Mammalian Model for Research on the Genetics of Aging
Yuan, R., Peters, L. L., & Paigen, B. J. (2011) · ILAR Journal · doi:10.1093/ilar.52.1.4 · Cited by 136 · see citing works
Self-citationAging impairs hippocampus-dependent long-term memory for object location in mice
Wimmer, M. E., Hernandez, P. J., Blackwell, J. M., & Abel, T. G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.07.007 · Cited by 128 · see citing works
Yuan, R., Meng, Q., Nautiyal, J., Flurkey, K., Tsaih, S.-W., Krier, R., Parker, M. G., Harrison, D. E., & Paigen, B. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121113109 · Cited by 121 · see citing works
High‐precision genetic mapping of behavioral traits in the diversity outbred mouse population
Logan, R. W., Robledo, R. F., Recla, J. M., Philip, V. M., Bubier, J. A., Jay, J. J., Harwood, C., Wilcox, T. D., Gatti, D. M., Bult, C. J., et al. (2013) · Genes Brain & Behavior · doi:10.1111/gbb.12029 · Cited by 113 · see citing works
Self-citationISOLATION OF ANTIGEN-BINDING CELLS FROM UNPRIMED MICE
Julius, M. H., & Herzenberg, L. A. (1974) · The Journal of Experimental Medicine · doi:10.1084/jem.140.4.904 · Cited by 91 · see citing works
Yu, W., Ackert‐Bicknell, C. L., Larigakis, J. D., MacIver, B., Steers, W. D., Churchill, G. A., Hill, W. G., & Zeidel, M. L. (2014) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00074.2014 · Cited by 83 · see citing works
Self-citationPetkova, S. B., Yuan, R., Tsaih, S., Schott, W. H., Roopenian, D. C., & Paigen, B. J. (2008) · Physiological Genomics · doi:10.1152/physiolgenomics.00185.2007 · Cited by 73 · see citing works
Genetic influence on electrocardiogram time intervals and heart rate in aging mice
Xing, S., Tsaih, S.-W., Yuan, R., Svenson, K. L., Jorgenson, L. M., So, M., Paigen, B. J., & Korstanje, R. (2009) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00681.2008 · Cited by 58 · see citing works
Self-citationKebede, M. A., Oler, A. T., Gregg, T., Balloon, A. J., Johnson, A., Mitok, K. A., Rabaglia, M. E., Schueler, K. L., Stapleton, D. S., Thorstenson, C. A., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci74072 · Cited by 53 · see citing works
Ackert‐Bicknell, C. L., Karasik, D., Li, Q., Smith, R. V., Hsu, Y., Churchill, G. A., Paigen, B. J., & Tsaih, S. (2010) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.72 · Cited by 51 · see citing works
Self-citationAge, experience and genetic background influence treadmill walking in mice
Wooley, C. M., Xing, S., Burgess, R. W., Cox, G. A., & Seburn, K. L. (2008) · Physiology & Behavior · doi:10.1016/j.physbeh.2008.10.020 · Cited by 48 · see citing works
Management of OAB in Those Over Age 65
Natalin, R. A., Lorenzetti, F. T. M., & Dambros, M. (2013) · Current Urology Reports · doi:10.1007/s11934-013-0338-5 · Cited by 44 · see citing works
Sinke, A. P., Caputo, C. R., Tsaih, S., Yuan, R., Ren, D., Deen, P. M. T., & Korstanje, R. (2010) · Physiological Genomics · doi:10.1152/physiolgenomics.00188.2010 · Cited by 42 · see citing works
Self-citationMouse Anesthesia and Analgesia
Adams, S. C., & Pacharinsak, C. (2015) · Current Protocols in Mouse Biology · doi:10.1002/9780470942390.mo140179 · Cited by 37 · see citing works
Identification of genetic determinants of IGF‐1 levels and longevity among mouse inbred strains
Leduc, M. S., Hageman, R. S., Meng, Q., Verdugo, R. A., Tsaih, S., Churchill, G. A., Paigen, B. J., & Yuan, R. (2010) · Aging Cell · doi:10.1111/j.1474-9726.2010.00612.x · Cited by 36 · see citing works
Self-citationQuantitative traits for the tail suspension test: automation, optimization, and BXD RI mapping
Lad, H. V., Liu, L., Paya-Cano, J. L., Fernandes, C., & Schalkwyk, L. C. (2007) · Mammalian Genome · doi:10.1007/s00335-007-9029-1 · Cited by 31 · see citing works
Blood Collection from Mice and Hematological Analyses on Mouse Blood
Rathkolb, B., Fuchs, H., Gailus‐Durner, V., Aigner, B., Wolf, E., & de Angelis, M. H. (2013) · Current Protocols in Mouse Biology · doi:10.1002/9780470942390.mo130054 · Cited by 28 · see citing works
Epidemiology of male urinary incontinence
Tikkinen, K. A. O., Agarwal, A., & Griebling, T. L. (2013) · Current Opinion in Urology · doi:10.1097/mou.0b013e328364f520 · Cited by 21 · see citing works
Mouse Hematology – A Laboratory Manual
Porse, B. T. (2010) · European Journal Of Haematology · doi:10.1111/j.1600-0609.2010.01442.x · Cited by 21 · see citing works
Modelling age-related metabolic disorders in the mouse
Goldsworthy, M. E., & Potter, P. K. (2014) · Mammalian Genome · doi:10.1007/s00335-014-9539-6 · Cited by 12 · see citing works
Grindle, S., Garganta, C. L., Sheehan, S., Gile, J., Lapierre, A., Whitmore, H. R., Paigen, B. J., & DiPetrillo, K. (2006) · PubMed · Cited by 11 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Fox JG Barthold S Davisson M Newcomer CE Quimby FW Smith A 2007 566 567 The Mouse in Biomedical Research 2 Academic Press, Inc San Diego
Cited by
Sorted by citations
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 · see citing works
Inhibition of IL-11 signalling extends mammalian healthspan and lifespan
Widjaja, A. A., Lim, W.-W., Viswanathan, S., Chothani, S., Corden, B., Dasan, C. M., Goh, J. W. T., Lim, R., Singh, B. K., Tan, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07701-9 · Cited by 238 · see citing works
Dietary restriction impacts health and lifespan of genetically diverse mice
Francesco, A. D., Deighan, A. G., Litichevskiy, L., Chen, Z., Luciano, A., Robinson, L. L., Garland, G., Donato, H., Vincent, M. J., Schott, W., et al. (2024) · Nature · doi:10.1038/s41586-024-08026-3 · Cited by 200 · see citing works
Self-citationRegulators of health and lifespan extension in genetically diverse mice on dietary restriction
Di Francesco, A., Deighan, A. G., Litichevskiy, L., Chen, Z., Luciano, A., Robinson, L., Garland, G., Donato, H., Schott, W., Wright, K. M., et al. (2023) · doi:10.1101/2023.11.28.568901 · Cited by 194 · see citing works
Self-citationAge and life expectancy clocks based on machine learning analysis of mouse frailty
Schultz, M. B., Kane, A. E., Mitchell, S. J., MacArthur, M. R., Warner, E., Vogel, D. S., Mitchell, J. R., Howlett, S. E., Bonkowski, M. S., & Sinclair, D. A. (2020) · Nature Communications · doi:10.1038/s41467-020-18446-0 · Cited by 128 · see citing works
Mouse models of ageing and their relevance to disease
Kõks, S., Dogan, S., Tuna, B. G., González-Navarro, H., Potter, P., & Vandenbroucke, R. E. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.10.001 · Cited by 125 · see citing works
Macip, C. C., Hasan, R., Hoznek, V., Kim, J., Metzger, L. E., Sethna, S., & Davidsohn, N. (2023) · doi:10.1101/2023.01.04.522507 · Cited by 95 · see citing works
Wang, H., Hu, Z., Wu, J., Mei, Y., Zhang, Q., Zhang, H., Miao, D., & Sun, W. S. (2019) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3677 · Cited by 91 · see citing works
Void spot assay: recommendations on the use of a simple micturition assay for mice
Hill, W. G., Zeidel, M. L., Bjorling, D. E., & Vezina, C. M. (2018) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00350.2018 · Cited by 86 · see citing works
Self-citationFasting blood glucose as a predictor of mortality: Lost in translation
Palliyaguru, D. L., Shiroma, E. J., Nam, J. K., Duregon, E., Teixeira, C. V. L., Price, N. L., Bernier, M., Camandola, S., Vaughan, K. L., Colman, R. J., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.08.013 · Cited by 81 · see citing works
Self-citationUpregulated PD-1 signaling antagonizes glomerular health in aged kidneys and disease
Pippin, J. W., Kaverina, N. V., Wang, Y., Eng, D. G., Zeng, Y., Tran, U., Loretz, C. J., Chang, A., Akilesh, S., Poudel, C., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci156250 · Cited by 79 · see citing works
Macip, C. C., Hasan, R., Hoznek, V., Kim, J., Lu, Y. R., Metzger, L. E., Sethna, S., & Davidsohn, N. (2024) · Cellular Reprogramming · doi:10.1089/cell.2023.0072 · Cited by 95 · see citing works
Cognitive Reserve in Model Systems for Mechanistic Discovery: The Importance of Longitudinal Studies
McQuail, J. A., Dunn, A. R., Stern, Y., Barnes, C. A., Kempermann, G., Rapp, P. R., Kaczorowski, C. C., & Foster, T. C. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.607685 · Cited by 64 · see citing works
Perturbations of Ubiquitin-Proteasome-Mediated Proteolysis in Aging and Alzheimer’s Disease
Hegde, A. N., Smith, S. G., Duke, L. M., Pourquoi, A., & Vaz, S. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00324 · Cited by 63 · see citing works
Gao, S., Liu, X., Li, T., Chen, L., Feng, Y., Wang, Y., Yin, Y., Little, P. J., Wu, X., Xu, S., et al. (2023) · Acta Pharmacologica Sinica · doi:10.1038/s41401-023-01152-0 · Cited by 60 · see citing works
Study of Longitudinal Aging in Mice: Presentation of Experimental Techniques
Palliyaguru, D. L., Teixeira, C. V. L., Duregon, E., Germanio, C. D., Alfaras, I., Mitchell, S. J., Navas‐Enamorado, I., Shiroma, E. J., Studenski, S. A., Bernier, M., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa285 · Cited by 59 · see citing works
Podocyte Aging: Why and How Getting Old Matters
Shankland, S. J., Wang, Y., Shaw, A. S., Vaughan, J. C., Pippin, J. W., & Wessely, O. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021050614 · Cited by 59 · see citing works
Dang, H. T. L., Castro-Portuguez, R., Espejo, L. S., Backer, G., Freitas, S., Spence, E., Meyers, J., Shuck, K., Gardea, E. A., Chang, L. M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43527-1 · Cited by 58 · see citing works
Self-citationOral health in geroscience: animal models and the aging oral cavity
An, J. Y., Darveau, R. P., & Kaeberlein, M. R. (2017) · GeroScience · doi:10.1007/s11357-017-0004-9 · Cited by 50 · see citing works
Grilo, G. A., Shaver, P. R., Stoffel, H. J., Morrow, C. A., Johnson, O. T., Iyer, R. P., & Brás, L. E. D. C. (2020) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2020.01.005 · Cited by 45 · see citing works
Loss of Epigenetic Information as a Cause of Mammalian AgingPreprint
Yang, J.-H., Hayano, M., Griffin, P. T., Amorim, J. A., Bonkowski, M. S., Apostolides, J. K., Blanchette, M., Munding, E. M., Bhakta, M. S., Salfati, E., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3951490 · Cited by 45 · see citing works
Giacomello, E., & Toniolo, L. (2021) · Nutrients · doi:10.3390/nu13072346 · Cited by 42 · see citing works
CCL17 acts as a novel therapeutic target in pathological cardiac hypertrophy and heart failure
Zhang, Y., Ye, Y., Tang, X., Wang, H., Tanaka, T., Tian, R., Yang, X., Wang, L., Xiao, Y., Hu, X., et al. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20200418 · Cited by 41 · see citing works
Kitzmiller, L. A., Ledford, J. R., Hake, P. W., O’Connor, M. P., Piraino, G., & Zingarelli, B. (2018) · Shock · doi:10.1097/shk.0000000000001303 · Cited by 38 · see citing works
Physiological Systems in Promoting Frailty
Perazza, L. R., Brown‐Borg, H. M., & Thompson, L. V. (2022) · Comprehensive physiology · doi:10.1002/cphy.c210034 · Cited by 64 · see citing works
Genetic background influences susceptibility to chemotherapy-induced hematotoxicity
Gatti, D. M., Weber, S. N., Goodwin, N. C., Lammert, F., & Churchill, G. A. (2017) · The Pharmacogenomics Journal · doi:10.1038/tpj.2017.23 · Cited by 35 · see citing works
Self-citationPierce, J. L., Sharma, A. K., Roberts, R. L., Yu, K., Irsik, D. L., Choudhary, V., Dorn, J., Bensreti, H., Benson, R. D., Kaiser, H., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4468 · Cited by 34 · see citing works
Genetically modified non-human primate models for research on neurodegenerative diseases
Pan, M.-T., 暨南大学粤港澳中枢神经再生研究院, 广., Zhang, H., Li, X., & Guo, X. (2024) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2023.197 · Cited by 33 · see citing works
The aging mouse lens transcriptome
Faranda, A. P., Shihan, M. H., Wang, Y., & Duncan, M. K. (2021) · Experimental Eye Research · doi:10.1016/j.exer.2021.108663 · Cited by 33 · see citing works
Age related weight loss in female 5xFAD mice from 3 to 12 months of age
Gendron, W. A. C., Fertan, E., Pelletier, S., Roddick, K. M., O’Leary, T. P., Anini, Y., & Brown, R. E. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113214 · Cited by 31 · see citing works
Physiological Systems in Promoting Frailty
Perazza, L. R., Brown‐Borg, H. M., & Thompson, L. V. (2022) · Comprehensive physiology · doi:10.1002/j.2040-4603.2022.tb00224.x · Cited by 30 · see citing works
Castro‐Grattoni, A. L., Suarez-Giron, M. C., Benitez, I. D., Torres, M., Almendros, I., Farré, R., Montserrat, J. M., Dalmases, M., Gozal, D., Sánchez‐de‐la‐Torre, M., et al. (2019) · Respirology · doi:10.1111/resp.13610 · Cited by 27 · see citing works
Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice
Chen, Z., Raj, A., Prateek, G. V., Francesco, A. D., Liu, J., Keyes, B. E., Kolumam, G., Jojic, V., & Freund, A. (2022) · eLife · doi:10.7554/elife.72664 · Cited by 26 · see citing works
TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction
Griffin, P. T., Kane, A. E., Trapp, A., Li, J., Arnold, M. W., Poganik, J. R., Conway, R. J., McNamara, M. S., Meer, M. V., Hoffman, N., et al. (2024) · Nature Aging · doi:10.1038/s43587-023-00555-2 · Cited by 27 · see citing works
Application of mesenchymal stem cells for anti-senescence and clinical challenges
Wang, Y., Gao, T., & Wang, B. (2023) · Stem Cell Research & Therapy · doi:10.1186/s13287-023-03497-z · Cited by 27 · see citing works
Hong, S., Nagayach, A., Lü, Y., Peng, H., Duong, Q.-V., Pham, N. B., Vuong, C. A., & Bazan, N. G. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13726 · Cited by 24 · see citing works
DNA Break-Induced Epigenetic Drift as a Cause of Mammalian AgingPreprint
Hayano, M., Yang, J.-H., Bonkowski, M. S., Amorim, J. A., Ross, J. M., Coppotelli, G., Griffin, P. T., Chew, Y. C., Guo, W., Yang, X., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/808659 · Cited by 23 · see citing works
Palliyaguru, D. L., Minor, R. K., Mitchell, S. J., Palacios, H. H., Licata, J. J., Ward, T. M., Abulwerdi, G. A., Elliott, P. J., Westphal, C. H., Ellis, J. L., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa148 · Cited by 23 · see citing works
Santin, Y., Lopez, S., Ader, I., Andrieu, S., Blanchard, N., Carrière, A., Casteilla, L., Cousin, B., Davezac, N., Barreto, P. D. S., et al. (2021) · The Journal of Frailty & Aging · doi:10.14283/jfa.2020.43 · Cited by 20 · see citing works
He, K., Zhang, J., Zhang, W., Wang, S., Li, D., Ma, X., Wu, X., Chai, X., & Liu, Q. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.772066 · Cited by 20 · see citing works
Knufinke, M., MacArthur, M. R., Ewald, C. Y., & Mitchell, S. J. (2023) · Frontiers in Aging · doi:10.3389/fragi.2023.1172789 · Cited by 23 · see citing works
Adams, D. J., Rowe, D. W., & Ackert‐Bicknell, C. L. (2016) · Mammalian Genome · doi:10.1007/s00335-016-9650-y · Cited by 20 · see citing works
Self-citationMicrophysiological systems for human aging research
Park, S., Laskow, T. C., Chen, J., Guha, P., Dawn, B., & Kim, D. (2024) · Aging Cell · doi:10.1111/acel.14070 · Cited by 20 · see citing works
Mbanefo, E. C., Le, L., Pennington, L. F., Odegaard, J. I., Jardetzky, T. S., Alouffi, A., Falcone, F. H., & Hsieh, M. H. (2018) · The FASEB Journal · doi:10.1096/fj.201701415r · Cited by 19 · see citing works
Musiał-Wysocka, A., Kot, M., Sułkowski, M., & Majka, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184632 · Cited by 19 · see citing works
Principles of brain aging: Status and challenges of modeling human molecular changes in mice
Kluever, V., & Fornasiero, E. F. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101465 · Cited by 18 · see citing works
Efentakis, P., Psarakou, G., Varela, A., Papanagnou, E., Chatzistefanou, M., Nikolaou, P., Davos, C. H., Gavriatopoulou, M., Trougakos, I. P., Dimopoulos, M. A., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010956 · Cited by 18 · see citing works
Psychometrics of the Balance Beam Functional Test in C57BL/6 Mice
Orenduff, M. C., Rezeli, E. T., Hursting, S. D., & Pieper, C. F. (2021) · Comparative Medicine · doi:10.30802/aalas-cm-21-000033 · Cited by 17 · see citing works
Chhunchha, B., Kubo, E., Krueger, R. R., & Singh, D. P. (2023) · Antioxidants · doi:10.3390/antiox12010140 · Cited by 18 · see citing works
Qiu, X., Wang, H., Yang, Z.-Y., Sun, L., Liu, S.-N., Fan, C., & Zhu, F. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.01.005 · Cited by 17 · see citing works
Automated and Continuous Monitoring of Animal Welfare through Digital Alerting
Do, J. P. H., Defensor, E. B., Ichim, C. V., Lim, M. A., Mechanic, J., Rabe, M. D., & Schaevitz, L. R. (2020) · Comparative Medicine · doi:10.30802/aalas-cm-19-000090 · Cited by 17 · see citing works
Effect of filling rate on cystometric parameters in young and middle aged mice
Kim, A. K., & Hill, W. G. (2017) · Bladder · doi:10.14440/bladder.2017.88 · Cited by 17 · see citing works
Self-citationStudying the mechanisms of neurodegeneration: C. elegans advantages and opportunities
Torres, A. K., Mira, R. G., Pinto, C., & Inestrosa, N. C. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1559151 · Cited by 16 · see citing works
Strategies to dissect microglia-synaptic interactions during aging and in Alzheimer's disease
Heuer, S. E., Bloss, E. B., & Howell, G. R. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.109987 · Cited by 15 · see citing works
Geroscience and Alzheimer's Disease Drug Development
Cummings, J. L., Osse, A. M. L., & Kinney, J. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.103 · Cited by 14 · see citing works
Anton, P. E., Rutt, L. N., Capper, C., Orlicky, D. J., & McCullough, R. L. (2022) · Alcohol · doi:10.1016/j.alcohol.2022.08.012 · Cited by 14 · see citing works
The effect of sex on the mouse lens transcriptome
Faranda, A. P., Shihan, M. H., Wang, Y., & Duncan, M. K. (2021) · Experimental Eye Research · doi:10.1016/j.exer.2021.108676 · Cited by 14 · see citing works
The Jackson Laboratory Nathan Shock Center: impact of genetic diversity on aging
Korstanje, R., Peters, L. L., Robinson, L. L., Krasinski, S. D., & Churchill, G. A. (2021) · GeroScience · doi:10.1007/s11357-021-00421-2 · Cited by 11 · see citing works
Self-citationKorbolina, E. E., Александровна, Ж. А., Фурсова, А. Ж., Kozhevnikova, O. S., & Kolosova, N. G. (2016) · BMC Genetics · doi:10.1186/s12863-016-0461-7 · Cited by 12 · see citing works
Marcozzi, S., Bigossi, G., Giuliani, M. E., Giacconi, R., Cardelli, M., Piacenza, F., Orlando, F., Segala, A., Valerio, A., Nisoli, E., et al. (2023) · GeroScience · doi:10.1007/s11357-023-00737-1 · Cited by 12 · see citing works
Frailty in rodents: Models, underlying mechanisms, and management
Liu, P., Li, Y., & Ma, L. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101659 · Cited by 12 · see citing works
Genetic and Epigenetic Interactions Involved in Senescence of Stem Cells
Iordache, F., Ionescu, A., & Alexandru, D. M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179708 · Cited by 12 · see citing works
Mechanisms of age-related ocular diseases: a comprehensive review with an emphasis on glaucoma
Reinehr, S., Köseoğlu, A. E., Qin, W., Tsai, T., Dick, H. B., & Joachim, S. C. (2024) · Aging advances. · doi:10.4103/agingadvances.agingadv-d-24-00001 · Cited by 11 · see citing works
Shaforostova, E. A., Gureev, A. P., Volodina, D. E., & Popov, V. N. (2022) · Metabolic Brain Disease · doi:10.1007/s11011-022-01047-9 · Cited by 11 · see citing works
TIME-Seq Enables Scalable and Inexpensive Epigenetic Age PredictionsPreprint
Griffin, P. T., Kane, A. E., Trapp, A., Li, J., Arnold, M. W., Poganik, J. R., McNamara, M. S., Meer, M. V., Hoffman, N., Amorim, J. P., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.25.465725 · Cited by 11 · see citing works
Han, J., Liu, Q., Xu, X., Qin, W., Pan, Y., Qin, R., Zhao, R., Gu, Y., Gu, J., & Ren, S. (2020) · ACS Omega · doi:10.1021/acsomega.9b04412 · Cited by 10 · see citing works
Mecklenburg, J. M., Patil, M. J., Koek, W., & Akopian, A. N. (2017) · PAIN Reports · doi:10.1097/pr9.0000000000000584 · Cited by 10 · see citing works
Zee, R. S., Mbanefo, E. C., Le, L., Pennington, L. F., Odegaard, J. I., Jardetzky, T. S., Alouffi, A., Akinwale, J., Falcone, F. H., & Hsieh, M. H. (2019) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00468.2018 · Cited by 9 · see citing works
Rabaglino, M. B., Wakabayashi, M., Pearson, J. T., & Jensen, L. J. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2021.111594 · Cited by 9 · see citing works
Effect of resistance training on satellite cells in old mice – a transcriptome study
Hsu, W.-B., Lin, S.-J., Hung, J.-S., Chen, M.-H., Lin, C.-Y., Hsu, W.-H., & Hsu, W.-W. R. (2022) · Bone and Joint Research · doi:10.1302/2046-3758.112.bjr-2021-0079.r2 · Cited by 9 · see citing works
Heuer, S. E., Nickerson, E. W., Howell, G. R., & Bloss, E. B. (2023) · Aging Cell · doi:10.1111/acel.14033 · Cited by 8 · see citing works
A perspective on muscle phenotyping in musculoskeletal research
Foessl, I., Ackert‐Bicknell, C. L., Kague, É., Laskou, F., Jakob, F. J., Karasik, D., Obermayer-Pietsch, B. M., Alonso, N., Bjørnerem, Å., Brandi, M. L., et al. (2024) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2024.01.004 · Cited by 8 · see citing works
Self-citationZhu, T., Hu, P., Mi, Y., Zhang, J., Xu, A., Gao, M., Zhang, Y., Shen, S., Yang, G., & Pan, Y. (2024) · Aging Cell · doi:10.1111/acel.14445 · Cited by 10 · see citing works
Ji, J., Yan, H., Ye, Y., Huang, Z., Wang, Y., Sun, J., Sheng, L., Zhang, Y., & Sun, X. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.142268 · Cited by 8 · see citing works
Repression of the Antioxidant Pyrroloquinoline Quinone in Skin Aging Induced by Bmi‐1 Deficiency
Li, J., Liu, M., Liang, S., Yu, Y., & Gu, M. (2022) · BioMed Research International · doi:10.1155/2022/1732438 · Cited by 8 · see citing works
Furth, P. A., Wang, W., Kang, K., Rooney, B. L., Keegan, G., Muralidaran, V., Wong, J., Shearer, C. R., Zou, X., & Flaws, J. A. (2022) · American Journal Of Pathology · doi:10.1016/j.ajpath.2022.09.008 · Cited by 8 · see citing works
Zebrafish Aging Models and Possible Interventions
Celebi-Birand, D., Erbaba, B., Ozdemir, A. T., Kafalıgönül, H., & Adams, M. M. (2018) · InTech eBooks · doi:10.5772/intechopen.75554 · Cited by 8 · see citing works
Matamoros, J. A., Rubio‐Casado, S., Fernández‐Albarral, J. A., Martínez‐López, M. A., Ramirez, A. I., Salobrar‐García, E., Marco, E. M., Paleo‐García, V., de Hoz, R., López‐Cuenca, I., et al. (2025) · Pharmaceuticals · doi:10.3390/ph18050694 · Cited by 7 · see citing works
Experimental models for ageing research.
Toniolo, L., Sirago, G., & Giacomello, E. (2023) · PubMed · doi:10.14670/hh-18-576 · Cited by 7 · see citing works
Pu, X., & Qu, Y. (2023) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.15835 · Cited by 7 · see citing works
Lin, D., Hu, Q., Yang, L. Y., Zeng, X., Xiao, Y., Wang, D., Dai, W., Lu, H., Fang, J., Tang, Z., et al. (2022) · Microbial Genomics · doi:10.1099/mgen.0.000811 · Cited by 7 · see citing works
Micturition defects and altered bladder function in the klotho mutant mouse model of aging.
Bartolone, S. N., Ward, E. P., Wang, Z., Zwaans, B. M. M., Chancellor, M. B., Bjorling, D. E., & Lamb, L. E. (2020) · PubMed Central · Cited by 7 · see citing works
Malavolta, M. (2024) · GeroScience · doi:10.1007/s11357-024-01309-7 · Cited by 6 · see citing works
ExerGeneDB: A physical exercise-regulated differential gene expression database
Pan, L., Ai, S., Shi, X., Tong, X., Spanos, M., Li, G., Crețoiu, D., Gao, J., Zhou, Q., & Xiao, J. (2025) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2025.101027 · Cited by 6 · see citing works
Brown, R. E. (2022) · The EuroBiotech Journal · doi:10.2478/ebtj-2022-0008 · Cited by 5 · see citing works
Dowling, P., Zweyer, M., Sabir, H., Henry, M., Meleady, P., Swandulla, D., & Ohlendieck, K. (2023) · European Journal of Translational Myology · doi:10.4081/ejtm.2023.11553 · Cited by 5 · see citing works
Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage
Nwokedi, E. I., Bains, R. S., Bidaut, L. M., Ye, X., Wells, S. E., & Brown, J. M. (2023) · Sensors · doi:10.3390/s23239532 · Cited by 5 · see citing works
Moon, H., Mahzarnia, A., Stout, J. A., Anderson, R. J., Strain, M., Tremblay, J. T., Han, Z., Niculescu, A., MacFarlane, A., King, J., et al. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02731-x · Cited by 5 · see citing works
Utility of the DHFR-based destabilizing domain across mouse models of retinal degeneration and aging
Peng, H., Ramadurgum, P., Woodard, D. R., Daniel, S., Nakahara, E., Renwick, M., Aredo, B., Datta, S., Chen, B., Ufret-Vincenty, R. L., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104206 · Cited by 5 · see citing works
SOX9 in Keratinocytes Regulates Claudin 2 Transcription during Skin Aging
Wang, J., Xie, X.-Y., Deng, Y., Yang, H., Du, X., Liu, P., & Du, Y. (2022) · Contrast Media & Molecular Imaging · doi:10.1155/2022/6884308 · Cited by 5 · see citing works
Research Progress of Senolytic Drugs in the Treatment of Orthopedic Diseases
Zhang, M., Lou, P., Shou, D., Tong, P., & Zhang, Y. (2025) · Gerontology · doi:10.1159/000543386 · Cited by 4 · see citing works
Genetic links between multimorbidity and human aging
Dinh, P.-A., Han, H., Kim, S., Guo, Q., Zhang, Z. D., Vijg, J., & Suh, Y. (2025) · GeroScience · doi:10.1007/s11357-025-02044-3 · Cited by 4 · see citing works
Mutoh, T., Yamamoto, S., & Moriya, T. (2021) · Biomedicines · doi:10.3390/biomedicines9060664 · Cited by 4 · see citing works
Otsuka, H., Nonaka, N., Nakamura, M., & Soeta, S. (2023) · Journal of Oral Biosciences · doi:10.1016/j.job.2023.06.002 · Cited by 4 · see citing works
Verdú, D., Valls, A., Díaz, A., Carretero, A., Dromant, M., Kuligowski, J., Serna, E., & Viña, J. (2023) · Antioxidants · doi:10.3390/antiox12111991 · Cited by 4 · see citing works
Relationship between Hypoxia and Hypercapnia Tolerance and Life Expectancy
Tregub, P. P., Komleva, Y. K., Kulikov, V. P., Chekulaev, P. A., Tregub, O. F., Maltseva, L. D., Manasova, Z. S., Popova, I. A., Andriutsa, N. S., Samburova, N. V., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126512 · Cited by 4 · see citing works
Dowling, P., Gargan, S., Zweyer, M., Henry, M. A., Meleady, P., Swandulla, D., & Ohlendieck, K. (2024) · European Journal of Translational Myology · doi:10.4081/ejtm.2024.12564 · Cited by 4 · see citing works
McCorrison, J., Girke, T., Goetz, L. H., Miller, R. A., & Schork, N. J. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz206 · Cited by 4 · see citing works
Ammann, A. M., Wolfe, V., Piraino, G., Ziady, A. G., & Zingarelli, B. (2024) · Biomedicines · doi:10.3390/biomedicines12112615 · Cited by 3 · see citing works
The Converging Roles of Nucleases and Helicases in Genome Maintenance and the Aging Process
Margariti, A., Daniil, P., & Rampias, T. N. (2025) · Life · doi:10.3390/life15111729 · Cited by 3 · see citing works
- Authors
- Ackert‐Bicknell, C. L., Anderson, L. C., Sheehan, S., Hill, W. G., Chang, B., Churchill, G. A., Chesler, E. J., Korstanje, R., & Peters, L. L.
- Affiliations
- University of Rochester Medicine (US)
- Jackson Laboratory (US)
- Beth Israel Deaconess Medical Center (US)
- ORCID
- Venue
- Current Protocols in Mouse Biology
- Publisher
- Wiley
- Published
- 2015-06
- Volume
- 5
- Issue
- 2
- Pages
- 95-133
- ISSN
- 2161-2617 (ISSN-L)
- PMC
- PMC4590775
- OpenAlex
- W1519109490
- Cited by
- 135
- References
- 41
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 19 · 2023: 20 · 2022: 18 · 2021: 23 · 2020: 8 · 2019: 8 · 2018: 6 · 2017: 4 · 2016: 3
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Protocols in Mouse Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institutes of Health (5p20dk097818-02, 5r01ey019943-13)
- National Institute on Aging (AG-038070, P30AG038070)
- National Eye Institute (EY019943, R01-EY019943)
- National Cancer Institute (P30CA034196)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK097818, DK083299, P20-DK-097818, R01DK083299)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Antioxidants, Aging, Portulaca oleracea
- Keywords
- aging, mouse models of aging, healthspan, lifespan, longevity, phenotypic assays, body composition, renal function, hematopoiesis, immune function, research design
- MeSH terms
- Aging, Animals, Animal Structures, Behavior, Animal, Disease Models, Animal, Humans, Laboratory Animal Science, Longevity, Research Design, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
