Novel object recognition is not affected by age despite age-related brain changes

Abstract

Age-related memory impairments show a progressive decline across lifespan. Studies have demonstrated equivocal results in biological and behavioral outcomes of aging. Thus, in the present study we examined the novel object recognition task at a delay period that has been shown to be impaired in aged rats of two different strains. Moreover, we used a strain of rats, Fisher 344XBrown Norway, which have published age-related biological changes in the brain. Young (10 month old) and aged (28 month old) rats were tested on a standard novel object recognition task with a 50-minute delay period. The data showed that young and aged rats in the strain we used performed equally well on the novel object recognition task and that both young and old rats demonstrated a righthanded side preference for the novel object. Our data suggested that novel object recognition is not impaired in aged rats although both young and old rats have a demonstrated side preference. Thus, it may be that genetic differences across strains contribute to the equivocal results in behavior, and genetic variance likely influences the course of cognitive aging.

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Aktoprak, I. , Dinc, P. , Gunay, G. and Adams, M. (2013) Novel object recognition is not affected by age despite age-related brain changes. World Journal of Neuroscience, 3, 269-274. doi: 10.4236/wjns.2013.34036.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Gallagher, M. and Rapp, P.R. (1997) The use of animal models to study the effects of aging on cognition. Annual Review of Psychology, 48, 339-370. http://dx.doi.org/10.1146/annurev.psych.48.1.339
[2] Rapp, P.R. and Gallagher, M. (1996) Preserved neuron number in the hippocampus of aged rats with spatial learning deficits. Proceedings of the National Academy Sciences (USA), 93, 9926-9930. http://dx.doi.org/10.1073/pnas.93.18.9926
[3] Rapp, P.R., Deroche, P.S., Mao, Y. and Burwell, R.D. (2002) Neuron number in the parahippocampal region is preserved in aged rats with spatial learning deficits. Cerebral Cortex, 12, 1171-1179. http://dx.doi.org/10.1093/cercor/12.11.1171
[4] Shi. L., Adams, M.M., Linville, M.C., Newton, I.G., Forbes, M.E., Long, A.B., Riddle, D.R. and BrunsoBechtold, J.K. (2007) Caloric restriction eliminates the aging-related decline in NMDA and AMPA receptor subunits in the rat hippocampus and induces homeostasis. Experimental Neurology, 206, 70-79. http://dx.doi.org/10.1016/j.expneurol.2007.03.026
[5] Newton, I.G., Forbes, M.E., Linville, M.C., Pang, H., Tucker, E.W., Riddle, D.R. and Brunso-Bechtold, J.K. (2008) Effects of aging and caloric restriction on dentate gyrus synapses and glutamate receptor subunits. Neurobiology Aging, 29, 1308-1318. http://dx.doi.org/10.1016/j.neurobiolaging.2007.03.009
[6] Adams, M.M., Donohue, H.S., Linville, M.C., Iversen, E.A., Newton, I.G. and Brunso-Bechtold, J.K. (2010) Age-related synapse loss in hippocampal CA3 is not reversed by caloric restriction. Neuroscience, 171, 373-382. http://dx.doi.org/10.1016/j.neuroscience.2010.09.022
[7] Causing, C.G., Gloster, A., Aloyz, R., Bamji, S.X., Chang, E., Fawcett, J., Kuchel, G. and Miller. F.D. (1997) Synaptic innervation density is regulated by neuron-derived BDNF. Neuron, 18, 257-267. http://dx.doi.org/10.1016/S0896-6273(00)80266-4
[8] Shiosaka, S. and Yoshida, S. (2000) Synaptic microenvironments—Structural plasticity, adhesion molecules, proteases and their inhibitors. Neuroscience Research, 37, 85-89. http://dx.doi.org/10.1016/S0168-0102(00)00115-2
[9] Geinisman, Y., deToledo-Morrell, L., Morrell, F., Persina, I.S. and Rossi, M. (1992) Age-related loss of axospinous synapses formed by two afferent systems in the rat dentate gyrus as revealed by the unbiased stereological dissector technique. Hippocampus, 2, 437-444. http://dx.doi.org/10.1002/hipo.450020411
[10] Adams, M.M., Smith, T.D., Moga, D., Gallagher, M., Wang, Y., Wolfe, B.B., Rapp, P.R. and Morrison, J.H. (2001) Hippocampal dependent learning ability correlates with N-methyl-D-aspartate (NMDA) receptor levels in CA3 neurons of young and aged rats. Journal of Comparative Neurology, 432, 230-243. http://dx.doi.org/10.1002/cne.1099
[11] Magnusson, K.R., Kresge, D. and Supon, J. (2006) Differential effects of aging on NMDA receptors in the intermediate versus the dorsal hippocampus. Neurobiology Aging, 27, 324-333. http://dx.doi.org/10.1016/j.neurobiolaging.2005.01.012
[12] Molina, D.P., Ariwodola, O.J., Linville, C., Sonntag, W.E., Weiner, J.L., Brunso-Bechtold, J.K. and Adams, M.M. (2012) Growth hormone modulates hippocampal excitatory synaptic transmission and plasticity in old rats. Neurobiology Aging, 33, 1938-1949. http://dx.doi.org/10.1016/j.neurobiolaging.2011.09.014
[13] Barnes, C.A., Rao, G. and McNaughton, B.L. (1996) Functional integrity of NMDA-dependent LTP induction mechanisms across the lifespan of F-344 rats. Learn Mem, 3, 124-137. http://dx.doi.org/10.1101/lm.3.2-3.124
[14] Smith, T.D., Adams, M.M., Gallagher, M., Morrison, J.H. and Rapp, P.R. (2000) Circuit-specific alterations in hippocampal synaptophysin immunoreactivity predict spatial learning impairment in aged rats. Journal of Neuroscience, 20, 6587-6593.
[15] Ramsey, M.M., Weiner, J.L., Moore, T.P., Carter, C.S. and Sonntag, W.E. (2004) Growth hormone treatment attenuates age-related changes in hippocampal short-term plasticity and spatial learning. Neuroscience, 129, 119-127. http://dx.doi.org/10.1016/j.neuroscience.2004.08.001
[16] Vorhees, C.V. and Williams, M.T. (2006) Morris water maze: procedures for assessing spatial and related forms of learning and memory. Nature Protocols, 1, 848-858. http://dx.doi.org/10.1038/nprot.2006.116
[17] Ennaceur, A. and Delacour, J. (1988) A new one-trial test for neurobiological studies of memory in rats. 1: Behavioral data. Behavioral Brain Research, 31, 47-59. http://dx.doi.org/10.1016/0166-4328(88)90157-X
[18] Bevins, R.A. and Besheer, J. (2006) Object recognition in rats and mice: A one-trial non-matching-to-sample learning task to study 'recognition memory'. Nature Protocols, 1, 1306-1311. http://dx.doi.org/10.1038/nprot.2006.205
[19] Burke, S.N., Wallace, J.L., Nematollahi, S., Uprety, A.R. and Barnes, C.A. (2010) Pattern separation deficits may contribute to age-associated recognition impairments. Behavioral Neuroscience, 124, 559-573. http://dx.doi.org/10.1037/a0020893
[20] de Lima, M.N., Laranja, D.C., Caldana, F., Bromberg, E., Roesler, R. and Schroder, N. (2005) Reversal of age-related deficits in object recognition memory in rats with l-deprenyl. Experimental Gerontology, 40, 506-511. http://dx.doi.org/10.1016/j.exger.2005.03.004
[21] Pietá Dias, C., Martins de Lima, M.N., Presti-Torres, J., Dornelles, A., Garcia, V.A., Siciliani Scalco, F., Rewsaat Guimaraes, M., Constantino, L., Budni, P., Dal-Pizzol, F. and Schroder, N. (2007) Memantine reduces oxidative damage and enhances long-term recognition memory in aged rats. Neuroscience, 146, 1719-1725. http://dx.doi.org/10.1016/j.neuroscience.2007.03.018
[22] Platano, D., Fattoretti, P., Balietti, M., Bertoni-Freddari, C. and Aicardi, G. (2008) Long-term visual object recognition memory in aged rats. Rejeuvenation Research, 11, 333-339. http://dx.doi.org/10.1089/rej.2008.0687
[23] Vannucchi, M.G., Scali, C., Kopf, S.R., Pepeu, G. and Casamenti, F. (1997) Selective muscarinic antagonists differentially affect in vivo acetylcholine release and memory performances of young and aged rats. Neuroscience, 79, 837-846. http://dx.doi.org/10.1016/S0306-4522(97)00091-2
[24] Markowska, A.L. and Savonenko, A. (2002) Retardation of cognitive aging by life-long diet restriction: Implications for genetic variance. Neurobiology of Aging, 23, 75-86. http://dx.doi.org/10.1016/S0197-4580(01)00249-4
[25] Adams, M.M., Shi, L., Linville, M.C., Forbes, M.E., Long, A.B., Bennett, C., Newton, I.G., Carter, C.S., Sonntag, W.E., Riddle, D.R. and Brunso-Bechtold, J.K. (2008) Caloric restriction and age affect synaptic proteins in hippocampal CA3 and spatial learning ability. Experimental Neurology, 211, 141-149. http://dx.doi.org/10.1016/j.expneurol.2008.01.016
[26] Pitsikas, N., Tsitsirigou, S., Zisopoulou, S. and Sakellaridis, N. (2005) The 5-HT1A receptor and recognition memory. Possible modulation of its behavioral effects by the nitrergic system. Behavioral Brain Research, 159, 287-293. http://dx.doi.org/10.1016/j.bbr.2004.11.007
[27] Pitsikas, N. and Sakellaridis, N. (2007) Memantine and recognition memory: Possible facilitation of its behavioral effects by the nitric oxide (NO) donor molsidomine. European Journal of Pharmacology, 571, 174-179. http://dx.doi.org/10.1016/j.ejphar.2007.06.019
[28] van Goethem, N.P., Rutten, K., van der Staay, F.J., Jans, L.A., Akkerman, S., Steinbusch, H.W., Blokland, A., van’t Klooster, J. and Prickaerts, J. (2012) Object recognition testing: Rodent species, strains, housing conditions, and estrous cycle. Behavioral Brain Research, 232, 323-334. http://dx.doi.org/10.1016/j.bbr.2012.03.023
[29] de Haas, R., Seddik, A., Oppelaar, H., Westenberg, H.G. and Kas, M.J. (2012) Marked inbred mouse strain difference in the expression of quinpirole induced compulsive like behavior based on behavioral pattern analysis. European Neuropsychopharmacology, 22, 657-663. http://dx.doi.org/10.1016/j.euroneuro.2012.01.003
[30] Sanchez-Roige, S., Pena-Oliver, Y. and Stephens, D.N. (2012) Measuring impulsivity in mice: the five-choice serial reaction time task. Psychopharmacology (Berlin), 219, 253-270.
[31] Yilmazer-Hanke, D.M. (2008) Morphological correlates of emotional and cognitive behaviour: Insights from studies on inbred and outbred rodent strains and their crosses. Behavioral Pharmacology, 19, 403-434. http://dx.doi.org/10.1097/FBP.0b013e32830dc0de
[32] Cost, K.T., Williams-Yee, Z.N., Fustok, J.N. and Dohanich, G.P. (2012) Sex differences in object-in-place memory of adult rats. Behavioral Neuroscience, 126, 457-464. http://dx.doi.org/10.1037/a0028363
[33] Güven, M., Elalmis, D.D., Binokay, S. and Tan, U. (2003) Population-level right-paw preference in rats assessed by a new computerized food-reaching test. International Journal of Neuroscience, 113, 1675-1689. http://dx.doi.org/10.1080/00207450390249258

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