Gene-expression profile of the ageing brain in mice
Abstract
Ageing of the brain leads to impairments in cognitive and motor skills, and is the major risk factor for several common neurological disorders such as Alzheimer disease (AD) and Parkinson disease (PD). Recent studies suggest that normal brain ageing is associated with subtle morphological and functional alterations in specific neuronal circuits, as opposed to large-scale neuronal loss. In fact, ageing of the central nervous system in diverse mammalian species shares many features, such as atrophy of pyramidal neurons, synaptic atrophy, decrease of striatal dopamine receptors, accumulation of fluorescent pigments, cytoskeletal abnormalities, and reactive astrocytes and microglia. To provide the first global analysis of brain ageing at the molecular level, we used oligonucleotide arrays representing 6,347 genes to determine the gene-expression profile of the ageing neocortex and cerebellum in mice. Ageing resulted in a gene-expression profile indicative of an inflammatory response, oxidative stress and reduced neurotrophic support in both brain regions. At the transcriptional level, brain ageing in mice displays parallels with human neurodegenerative disorders. Caloric restriction, which retards the ageing process in mammals, selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses.
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Dietary restriction increases IκBα, a NF-κB inhibitor, and decreases the p65 subunit of NF-κB in mouse neocortex.
“A previous gene profiling study provided evidence that DR increased IκBα, a NF-κB inhibitor, and decreased the p65 subunit of NF-κB in mouse neocortex [147].”
From Dietary Restriction and Neuroinflammation: A Potential Mechanistic Link (2019) · cites this paper as [147]
In 18-month-old mouse retinas, supplementation with 24:5n-3 significantly down-regulated genes from the 'aging cerebellum' gene set compared with control (NES = −1.82, FDR = 5.83 × 10−4).
“Further analysis demonstrated significant down-regulation of genes from the “aging cerebellum” gene set (35) (NES = −1.82 and FDR = 5.83 × 10−4) in retinas from 18-month-old mice after supplementation with 24:5n-3 compared with control, including significant down-regulation of apolipoprotein E (Apoe) transcript (log2FC = −0.79 and padj = 0.001) (Fig. 5F).”
From Retinal polyunsaturated fatty acid supplementation reverses aging-related vision decline in mice (2025) · cites this paper as [35]
Gene expression profiling studies of ageing mouse, rat, monkey and human brains have shown significant changes in the expression of synaptic genes.
“Gene expression profiling studies of ageing mouse, rat, monkey and human brains have shown significant changes in the expression of synaptic genes (7–13).”
From Neural mechanisms of ageing and cognitive decline (2010) · cites this paper as [8]
Caloric restriction has beneficial effects on the function of the brain and its vulnerability to age-dependent pathology.
“Caloric restriction has also been widely documented to have beneficial effects on the function of the brain and its vulnerability to age-dependent pathology.”
From Neural mechanisms of ageing and cognitive decline (2010) · cites this paper as [8]
Caloric restriction prevents many age-dependent gene expression changes in the mouse brain, reduces age-related brain atrophy in rhesus macaques, and has significant beneficial effects on the age-dependent impairment of learning and memory in rodents and humans.
“It prevents many age-dependent gene expression changes in the mouse brain (8,43), reduces age-related brain atrophy in rhesus macaques (75) and has significant beneficial effects on the age-dependent impairment of learning and memory in rodents (76,77) and humans (78).”
From Neural mechanisms of ageing and cognitive decline (2010) · cites this paper as [8]
Early transcriptional profiling studies found surprisingly few genes altered by aging.
“The first studies of aging using this approach revealed that surprisingly few genes were altered by aging at the transcriptional level [2-4].”
From PGC-1α in aging and anti-aging interventions (2009) · cites this paper as [3]
Accumulated pro-inflammation and oxidative stress in the brain, often observed in aged brains and aged microglia, could cause sustained suppression of Trem2 expression and thus an impairment of TREM2-dependent microglial functions.
“accumulated pro-inflammation and oxidative stress in the brain, which is often observed in aged brains and aged microglia (90–94), could cause sustained suppression of Trem2 expression and thus an impairment of TREM2-dependent microglial functions.”
From <i>Trem2</i> promotes anti-inflammatory responses in microglia and is suppressed under pro-inflammatory conditions (2020) · cites this paper as [92]
While there may be hallmarks of aging that occur in most cell types, such as mitochondrial dysfunction and loss of proteostasis, the data argue against the hypothesis that aging induces a single universal molecular program in all cells and tissues.
“Thus, while there may be hallmarks of aging that occur in most cell types, such as mitochondrial dysfunction and loss of proteostasis 1,4,54 , our data argue against the hypothesis that aging induces a single universal molecular program in all cells and tissues 16 .”
From Single-cell transcriptomic profiling of the aging mouse brain (2019) · cites this paper as [4]
The first study examining the effects of caloric restriction on the transcriptome profile of aged mice revealed key reversal of aging-associated markers, such as complement subunits, lysozyme, antigen presentation proteins, heat shock proteins, and other inflammation and stress-related genes.
“Indeed, the first study examining the effects of caloric restriction on the transcriptome profile of aged mice revealed key reversal of aging-associated markers, such as complement subunits, lysozyme, antigen presentation proteins, heat shock proteins, and other inflammation and stress-related genes (Lee et al, 2000).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Lee et al, 2000
Comprehensive studies of mouse brain aging covering more than a few regions and at high temporal resolution do not exist to the authors' knowledge.
“Alternatively, expression profiling in model organisms like M. musculus enables quantitative data with minimal confounding factors, but comprehensive studies covering more than a few regions and at high temporal resolution (Hargis and Blalock, 2017; Lee et al., 2000; Tabula Muris Consortium, 2020; Zahn et al., 2007) do - to our knowledge - not exist.”
From Atlas of the aging mouse brain reveals white matter as vulnerable foci (2023) · cites this paper as Lee et al., 2000
Cites
Real time quantitative PCR.Preprint
Heid, C., Stevens, J., Livak, K. J., & Williams, P. (1996) · Genome Research · doi:10.1101/gr.6.10.986 · Cited by 6,180 · see citing works
Oxidative Stress, Caloric Restriction, and Aging
Sohal, R. S., & Weindruch, R. H. (1996) · Science · doi:10.1126/science.273.5271.59 · Cited by 3,133 · see citing works
Self-citationHigh density synthetic oligonucleotide arrays
Lipshutz, R. J., Fodor, S. P. A., Gingeras, T., & Lockhart, D. J. (1999) · Nature Genetics · doi:10.1038/4447 · Cited by 2,204 · see citing works
The retardation of aging and disease by dietary restriction
(1989) · Choice Reviews Online · doi:10.5860/choice.26-5101 · Cited by 1,477 · see citing works
Gene expression profile of aging and its retardation by caloric restriction
Lee, C.-K., Klopp, R. G., Weindruch, R., & Prolla, T. A. (1999) · Science · doi:10.1126/science.285.5432.1390 · Cited by 1,473 · see citing works
Self-citationLife 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 · see citing works
Fox, J. W., Lamperti, E. D., Ekşioğlu, Y. Z., Hong, S. E., Feng, Y., Graham, D. A., Scheffer, I. E., Dobyns, W. B., Hirsch, B. A., Radtke, R. A., et al. (1998) · Neuron · doi:10.1016/s0896-6273(00)80651-0 · Cited by 877 · see citing works
Inflammation and Alzheimer's disease pathogenesis
Rogers, J., Webster, S. D., Lue, L., Brachova, L., CIVIN, W. H., Emmerling, M. R., Shivers, B. D., Walker, D. G., & McGeer, P. L. (1996) · Neurobiology of Aging · doi:10.1016/0197-4580(96)00115-7 · Cited by 441 · see citing works
GFAP mRNA increases with age in rat and human brain
Nichols, N. R., Day, J. R., Laping, N. J., Johnson, S. A., & Finch, C. E. (1993) · Neurobiology of Aging · doi:10.1016/0197-4580(93)90100-p · Cited by 413 · see citing works
Dietary Restriction Benefits Learning and Motor Performance of Aged Mice
Ingram, D. K., Weindruch, R., Spangler, E. L., Freeman, J. R., & Walford, R. L. (1987) · Journal of Gerontology · doi:10.1093/geronj/42.1.78 · Cited by 342 · see citing works
Self-citationNeuronal Protection in Stroke by an sLe x -Glycosylated Complement Inhibitory Protein
Huang, J., Kim, L. J., Mealey, R. A., Marsh, H. C., Zhang, Y., Tenner, A. J., Connolly, E. S., & Pinsky, D. J. (1999) · Science · doi:10.1126/science.285.5427.595 · Cited by 315 · see citing works
Cellular signaling roles of TGFβ, TNFα and βAPP in brain injury responses and Alzheimer's disease
Mattson, M. P., Barger, S. W., Furukawa, K., Bruce‐Keller, A. J., Wyss‐Coray, T., Mark, R. J., & Mucke, L. (1997) · Brain Research Reviews · doi:10.1016/s0165-0173(96)00014-8 · Cited by 243 · see citing works
Stress and the Aging Hippocampus
McEwen, B. S. (1999) · Frontiers in Neuroendocrinology · doi:10.1006/frne.1998.0173 · Cited by 231 · see citing works
Suo, Z., Tan, J., Placzek, A., Crawford, F., Fang, C., & Mullan, M. (1998) · Brain Research · doi:10.1016/s0006-8993(98)00780-x · Cited by 116 · see citing works
Lemere, C. A., Munger, J. S., Shi, G., Natkin, L. W., Haass, C., Chapman, H. A., & Selkoe, D. J. (1995) · Europe PMC (PubMed Central) · Cited by 112 · see citing works
Activation of NF- κ B by Reactive Oxygen Intermediates in the Nervous System
Kaltschmidt, B., Sparna, T., & Kaltschmidt, C. (1999) · Antioxidants and Redox Signaling · doi:10.1089/ars.1999.1.2-129 · Cited by 110 · see citing works
Stability of [123I]IBZM SPECT measurement of amphetamine-induced striatal dopamine release in humans
Kegeles, L. S., Zea‐Ponce, Y., Abi‐Dargham, A., Rodenhiser, J., Wang, T., Weiss, R., Heertum, R. L. V., Mann, J. J., & Laruelle, M. (1999) · Synapse · doi:10.1002/(sici)1098-2396(19990315)31:4 · Cited by 80 · see citing works
Macieira‐Coelho, A. (2017) · CRC Press eBooks · doi:10.1201/9780203711309 · Cited by 67 · see citing works
Dietary restriction suppresses age-related changes in dendritic spines
Moroi, S. E., Mervis, R. F., London, E. D., & Ingram, D. K. (1989) · Neurobiology of Aging · doi:10.1016/0197-4580(89)90042-0 · Cited by 61 · see citing works
Hermann, D. M., Mies, G., & Hossmann, K. (1999) · Neuroscience · doi:10.1016/s0306-4522(98)00249-8 · Cited by 38 · see citing works
Lactoferrin, lysozyme, and ?2-Microglobulin levels in cerebrospinal fluid
H�llgren, R., Ter�nt, A., & Venge, P. (1982) · Inflammation · doi:10.1007/bf00916410 · Cited by 38 · see citing works
Calcium Hypothesis of Aging and Dementia
Disterhoft, J. F., Gispen, W. H., Traber, J., & Khachaturian, Z. S. (1995) · Medical Entomology and Zoology · Cited by 35 · see citing works
RelB, a member of the Rel/NF-kappa B family of transcription factors.
Ryseck, R.-P., Weih, F., Carrasco, D. R., et al. (1996) · PubMed · Cited by 21 · see citing works
Blumenthal, H. T. (1997) · The Journals of Gerontology Series A · doi:10.1093/gerona/52a.1.b1 · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Free Radicals in the Physiological Control of Cell Function
Dröge, W. (2002) · Physiological Reviews · doi:10.1152/physrev.00018.2001 · Cited by 9,855 · see citing works
Oxidants, oxidative stress and the biology of ageing
Finkel, T., & Holbrook, N. J. (2000) · Nature · doi:10.1038/35041687 · Cited by 9,413 · see citing works
Wallace, D. C. (2005) · Annual Review of Genetics · doi:10.1146/annurev.genet.39.110304.095751 · Cited by 3,185 · see citing works
Differential Roles of M1 and M2 Microglia in Neurodegenerative Diseases
Tang, Y., & Le, W. (2016) · Molecular Neurobiology · doi:10.1007/s12035-014-9070-5 · Cited by 2,190 · see citing works
Gene regulation and DNA damage in the ageing human brain
Lu, T., Pan, Y., Kao, S.-Y., Li, C., Kohane, I., Chan, J., & Yankner, B. A. (2004) · Nature · doi:10.1038/nature02661 · Cited by 1,874 · see citing works
The microglial sensome revealed by direct RNA sequencing
Hickman, S. E., Kingery, N. D., Ohsumi, T. K., Borowsky, M. L., Wang, L.-C., Means, T. K., & El Khoury, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3554 · Cited by 1,511 · see citing works
Neural mechanisms of ageing and cognitive decline
Bishop, N. A., Lu, T., & Yankner, B. A. (2010) · Nature · doi:10.1038/nature08983 · Cited by 1,323 · see citing works
Inflammation in Neurodegenerative Disease—A Double-Edged Sword
Wyss-Coray, T., & Mucke, L. (2002) · Neuron · doi:10.1016/s0896-6273(02)00794-8 · Cited by 1,235 · see citing works
Cell intrinsic alterations underlie hematopoietic stem cell aging
Rossi, D. J., Bryder, D., Zahn, J. M., Ahlenius, H., Sonu, R., Wagers, A. J., & Weissman, I. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503280102 · Cited by 1,152 · see citing works
Lee, J., Duan, W., & Mattson, M. P. (2002) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2002.01085.x · Cited by 975 · see citing works
Kregel, K. C., & Zhang, H. J. (2007) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00327.2006 · Cited by 883 · see citing works
SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging
Oberdoerffer, P., Michan, S., McVay, M., Mostoslavsky, R., Vann, J., Park, S.-K., Hartlerode, A., Stegmuller, J., Hafner, A., Loerch, P., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.025 · Cited by 852 · see citing works
Self-citationGodbout, J. P., Chen, J., Abraham, J., Richwine, A. F., Berg, B. M., Kelley, K. W., & Johnson, R. W. (2005) · The FASEB Journal · doi:10.1096/fj.05-3776fje · Cited by 813 · see citing works
Calorie restriction–the SIR2 connection
Guarente, L., & Picard, F. (2005) · Cell · doi:10.1016/j.cell.2005.01.029 · Cited by 793 · see citing works
Single-cell transcriptomic profiling of the aging mouse brain
Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0491-3 · Cited by 736 · see citing works
Calorie restriction and aging: review of the literature and implications for studies in humans
Heilbronn, L. K., & Ravussin, E. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.3.361 · Cited by 701 · see citing works
Histone acetylation: molecular mnemonics on the chromatin
Gräff, J., & Tsai, L.-H. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3427 · Cited by 680 · see citing works
Yankner, B. A., Lu, T., & Loerch, P. (2008) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathmechdis.2.010506.092044 · Cited by 677 · see citing works
Cytokines and cognition–the case for a head-to-toe inflammatory paradigm.
Wilson, C. J., Finch, C. E., & Cohen, H. J. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50619.x · Cited by 637 · see citing works
Microglial dysfunction in brain aging and Alzheimer's disease
Mosher, K. I., & Wyss-Coray, T. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.01.008 · Cited by 618 · see citing works
Regulation and function of adult neurogenesis: from genes to cognition.
Aimone, J. B., Li, Y., Lee, S. W., Clemenson, G. D., Deng, W., & Gage, F. H. (2014) · Physiological Reviews · doi:10.1152/physrev.00004.2014 · Cited by 635 · see citing works
Gene expression changes in the course of normal brain aging are sexually dimorphic
Berchtold, N. C., Cribbs, D. H., Coleman, P. D., Rogers, J., Head, E., Kim, R., Beach, T., Miller, C., Troncoso, J., Trojanowski, J. Q., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806883105 · Cited by 626 · see citing works
Intermittent metabolic switching, neuroplasticity and brain health
Mattson, M. P., Moehl, K., Ghena, N., Schmaedick, M., & Cheng, A. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.156 · Cited by 624 · see citing works
Identification of long-lived proteins reveals exceptional stability of essential cellular structures
Toyama, B. H., Savas, J. N., Park, S. K., Harris, M. S., Ingolia, N. T., Yates, J. R., & Hetzer, M. W. (2013) · Cell · doi:10.1016/j.cell.2013.07.037 · Cited by 572 · see citing works
Ng, A., Tam, W. W., Zhang, M. W., Ho, C. S., Husain, S. F., McIntyre, R. S., & Ho, R. C. (2018) · Scientific Reports · doi:10.1038/s41598-018-30487-6 · Cited by 572 · see citing works
Blalock, E. M., Chen, K.-C., Sharrow, K., Herman, J. P., Porter, N. M., Foster, T. C., & Landfield, P. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-09-03807.2003 · Cited by 570 · see citing works
Henry, C. J., Huang, Y., Wynne, A. M., & Godbout, J. P. (2009) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2008.09.002 · Cited by 565 · see citing works
Age-related alterations in the dynamic behavior of microglia
Damani, M. R., Zhao, L., Fontainhas, A. M., Amaral, J., Fariss, R. N., & Wong, W. T. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2010.00660.x · Cited by 504 · see citing works
Deciphering the mechanism underlying late-onset Alzheimer disease
Krstic, D., & Knuesel, I. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.236 · Cited by 457 · see citing works
Human umbilical cord plasma proteins revitalize hippocampal function in aged mice
Castellano, J. M., Mosher, K. I., Abbey, R. J., McBride, A. A., James, M. L., Berdnik, D., Shen, J. C., Zou, B., Xie, X. S., Tingle, M., et al. (2017) · Nature · doi:10.1038/nature22067 · Cited by 445 · see citing works
Finch, C. E., & Ruvkun, G. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.435 · Cited by 446 · see citing works
Aston, C., Jiang, L., & Sokolov, B. P. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001565 · Cited by 427 · see citing works
AGEMAP: A Gene Expression Database for Aging in Mice
Zahn, J. M., Poosala, S., Owen, A. B., Ingram, D. K., Lustig, A., Carter, A., Weeraratna, A. T., Taub, D. D., Gorospe, M., Mazan-Mamczarz, K., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030201 · Cited by 431 · see citing works
Energy intake and exercise as determinants of brain health and vulnerability to injury and disease
Mattson, M. P. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.08.012 · Cited by 434 · see citing works
A highly selective telomerase inhibitor limiting human cancer cell proliferation
Damm, K., Hemmann, U., Garin‐Chesa, P., Hauel, N., Kauffmann, I., Priepke, H., Niestroj, C., Daiber, C., Enenkel, B., Guilliard, B., et al. (2001) · The EMBO Journal · doi:10.1093/emboj/20.24.6958 · Cited by 422 · see citing works
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398 · see citing works
Heilbronn, L. K., Smith, S. R., Martin, C. K., Anton, S. D., & Ravussin, E. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.1.69 · Cited by 393 · see citing works
Kayo, T., Allison, D. B., Weindruch, R., & Prolla, T. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.081061898 · Cited by 384 · see citing works
Self-citationTranscriptional profiling of aging in human muscle reveals a common aging signature
Zahn, J. M., Sonu, R., Vogel, H., Crane, E., Mazan-Mamczarz, K., Rabkin, R., Davis, R. W., Becker, K. G., Owen, A. B., & Kim, S. K. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020115 · Cited by 351 · see citing works
Evolution of the Aging Brain Transcriptome and Synaptic Regulation
Loerch, P. M., Lu, T., Dakin, K. A., Vann, J. M., Isaacs, A., Geula, C., Wang, J., Pan, Y., Gabuzda, D. H., Li, C., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003329 · Cited by 334 · see citing works
Self-citationA Transcriptional Profile of Aging in the Human Kidney
Rodwell, G. E. J., Sonu, R., Zahn, J. M., Lund, J., Wilhelmy, J., Wang, L., Xiao, W., Mindrinos, M., Crane, E., Segal, E., et al. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020427 · Cited by 338 · see citing works
Tomita, H., Vawter, M. P., Walsh, D. M., Evans, S. J., Choudary, P. V., Li, J., Overman, K. M., Atz, M. E., Myers, R. M., Jones, E. G., et al. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.10.013 · Cited by 331 · see citing works
Caloric restriction attenuates Aβ-deposition in Alzheimer transgenic models
Patel, N. V., Gordon, M. N., Connor, K. E., Good, R. A., Engelman, R. W., Mason, J., Morgan, D. G., Morgan, T. E., & Finch, C. E. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.09.014 · Cited by 329 · see citing works
mRNA up-regulation of MHC II and pivotal pro-inflammatory genes in normal brain aging
Frank, M. G., Barrientos, R. M., Biedenkapp, J. C., Rudy, J. W., Watkins, L. R., & Maier, S. F. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.03.013 · Cited by 327 · see citing works
The effects of aging on gene expression in the hypothalamus and cortex of mice
Jiang, C. H., Tsien, J. Z., Schultz, P. G., & Hu, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.4.1930 · Cited by 318 · see citing works
Lee, C.-K., Allison, D. B., Brand, J., Weindruch, R., & Prolla, T. A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.232308999 · Cited by 314 · see citing works
Self-citationJacob, C. P., Koutsilieri, E., Bartl, J., Neuen-Jacob, E., Arzberger, T., Zander, N., Ravid, R., Roggendorf, W., Riederer, P., & Grünblatt, E. (2007) · Journal of Alzheimer's Disease · doi:10.3233/jad-2007-11113 · Cited by 317 · see citing works
The role of nuclear architecture in genomic instability and ageing.
Oberdoerffer, P., & Sinclair, D. A. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2238 · Cited by 305 · see citing works
Effects of aging and sensory loss on glial cells in mouse visual and auditory cortices
Tremblay, M., Zettel, M. L., Ison, J. R., Allen, P. D., & Majewska, A. K. (2012) · Glia · doi:10.1002/glia.22287 · Cited by 309 · see citing works
Godbout, J. P., Moreau, M., Lestage, J., Chen, J., Sparkman, N. L., Connor, J. O., Castanon, N., Kelley, K. W., Dantzer, R., & Johnson, R. W. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301649 · Cited by 299 · see citing works
Caloric Restriction and Aging: Studies in Mice and Monkeys
Anderson, R. M., Shanmuganayagam, D., & Weindruch, R. (2009) · Toxicologic Pathology · doi:10.1177/0192623308329476 · Cited by 276 · see citing works
Self-citationMaures, T. J., Greer, E. L., Hauswirth, A. G., & Brunet, A. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2011.00738.x · Cited by 256 · see citing works
Analysis of alternative splicing associated with aging and neurodegeneration in the human brain
Tollervey, J. R., Wang, Z., Hortobágyi, T., Witten, J. T., Zarnack, K., Kayikci, M., Clark, T. A., Schweitzer, A. C., Rot, G., Curk, T., et al. (2011) · Genome Research · doi:10.1101/gr.122226.111 · Cited by 252 · see citing works
Molecular aging in human prefrontal cortex is selective and continuous throughout adult life
Erraji-Benchekroun, L., Underwood, M. D., Arango, V., Galfalvy, H., Pavlidis, P., Smyrniotopoulos, P., Mann, J. J., & Sibille, E. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.10.034 · Cited by 236 · see citing works
Norris, C. M., Kadish, I., Blalock, E. M., Chen, K.-C., Thibault, V., Porter, N. M., Landfield, P. W., & Kraner, S. D. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0365-05.2005 · Cited by 229 · see citing works
Age and neuroinflammation: a lifetime of psychoneuroimmune consequences
Godbout, J. P., & Johnson, R. W. (2009) · Immunology and Allergy Clinics of North America · doi:10.1016/j.iac.2009.02.007 · Cited by 224 · see citing works
Sexually divergent induction of microglial-associated neuroinflammation with hippocampal aging
Mangold, C. A., Wronowski, B., Du, M., Masser, D. R., Hadad, N., Bixler, G. V., Brucklacher, R. M., Ford, M. M., Sonntag, W. E., & Freeman, W. M. (2017) · Journal of Neuroinflammation · doi:10.1186/s12974-017-0920-8 · Cited by 203 · see citing works
Liu, W., Taso, O., Wang, R., Bayram, S., Graham, A. C., Garcia-Reitboeck, P., Mallach, A., Andrews, W. D., Piers, T. M., Botia, J. A., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa209 · Cited by 214 · see citing works
“…accumulated pro-inflammation and oxidative stress in the brain, which is often observed in aged brains and aged microglia (Godbout et al. 2005; Lee et al. 2000; Prolla 2002; Sierra et al. 2007; Verbitsky et al. 2004), could cause sustained suppression of Trem2 expression and thus an…”
BackgroundAging, stress and the hippocampus
Miller, D. B., & O’Callaghan, J. P. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2005.03.002 · Cited by 206 · see citing works
Atlas of the aging mouse brain reveals white matter as vulnerable foci
Hahn, O., Foltz, A. G., Atkins, M., Kedir, B., Moran-Losada, P., Guldner, I. H., Munson, C., Kern, F., Pálovics, R., Lu, N., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.027 · Cited by 213 · see citing works
Murray, A. D., Staff, R. T., Shenkin, S. D., Deary, I. J., Starr, J. M., & Whalley, L. J. (2005) · Radiology · doi:10.1148/radiol.2371041496 · Cited by 206 · see citing works
Revisiting Metchnikoff: Age-related alterations in microbiota-gut-brain axis in the mouse
Scott, K. A., Ida, M., Peterson, V. L., Prenderville, J. A., Moloney, G. M., Izumo, T., Murphy, K., Murphy, A., Ross, R. P., Stanton, C., et al. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.02.004 · Cited by 202 · see citing works
Fontán-Lozano, Á., Sáez-Cassanelli, J. L., Inda, M. C., de los Santos-Arteaga, M., Sierra-Domínguez, S. A., López-Lluch, G., Delgado-García, J. M., & Carrión, Á. M. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2757-07.2007 · Cited by 195 · see citing works
Anderton, B. H. (2002) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(01)00426-2 · Cited by 187 · see citing works
Uncoupling the Senescent Phenotype from Telomere Shortening in Hydrogen Peroxide-Treated Fibroblasts
Chen, Q. M., Prowse, K. R., Tu, V. C., Purdom, S., & Linskens, M. H. K. (2001) · Experimental Cell Research · doi:10.1006/excr.2001.5182 · Cited by 186 · see citing works
Increased White Matter Inflammation in Aging- and Alzheimer’s Disease Brain
Raj, D., Yin, Z., Breur, M., Doorduin, J., Holtman, I. R., Olah, M., Mantingh-Otter, I. J., Van Dam, D., De Deyn, P. P., den Dunnen, W., et al. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00206 · Cited by 180 · see citing works
Dysregulated neuronal–microglial cross-talk during aging, stress and inflammation
Jurgens, H. A., & Johnson, R. W. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2010.11.014 · Cited by 179 · see citing works
Innate immune receptor expression in normal brain aging
Letiembre, M., Hao, W., Liu, Y., Walter, S., Mihaljevic, I., Rivest, S., Hartmann, T., & Fassbender, K. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.01.004 · Cited by 175 · see citing works
Baumgart, M., Groth, M., Priebe, S., Savino, A., Testa, G., Dix, A., Ripa, R., Spallotta, F., Gaetano, C., Ori, M., et al. (2014) · Aging Cell · doi:10.1111/acel.12257 · Cited by 167 · see citing works
Aging and Gene Expression in the Primate Brain
Fraser, H. B., Khaitovich, P., Plotkin, J. B., Pääbo, S., & Eisen, M. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030274 · Cited by 172 · see citing works
PGC-1α in aging and anti-aging interventions
Anderson, R., & Prolla, T. (2009) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2009.04.005 · Cited by 162 · see citing works
Self-citationSlowing down: age-related neurobiological predictors of processing speed
Eckert, M. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00025 · Cited by 162 · see citing works
Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice
Verbitsky, M., Yonan, A. L., Malleret, G., Kandel, E. R., Gilliam, T. C., & Pavlidis, P. (2004) · Learning & Memory · doi:10.1101/lm.68204 · Cited by 158 · see citing works
Role of TGFβ signaling in the pathogenesis of Alzheimer’s disease
von Bernhardi, R., Cornejo, F., Parada, G. E., & Eugenín, J. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00426 · Cited by 149 · see citing works
Prolla, T. A., & Mattson, M. P. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01957-3 · Cited by 159 · see citing works
Self-citationTranscriptional Signatures of Aging
Stegeman, R., & Weake, V. M. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.06.019 · Cited by 146 · see citing works
Genome-environment interactions that modulate aging: powerful targets for drug discovery
de Magalhães, J. P., Wuttke, D., Wood, S. H., Plank, M., & Vora, C. (2012) · Pharmacological Reviews · doi:10.1124/pr.110.004499 · Cited by 136 · see citing works
Telomeres, sex, reactive oxygen species, and human cardiovascular aging
Aviv, A. (2002) · Journal of Molecular Medicine · doi:10.1007/s00109-002-0377-8 · Cited by 138 · see citing works
Adding fuel to the fire: the impact of stress on the ageing brain
Prenderville, J. A., Kennedy, P. J., Dinan, T. G., & Cryan, J. F. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.001 · Cited by 136 · see citing works
Park, S., Kim, K., Page, G. P., Allison, D. B., Weindruch, R., & Prolla, T. A. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00496.x · Cited by 134 · see citing works
Self-citationWalker, D. W., Muffat, J., Rundel, C., & Benzer, S. (2006) · Current Biology · doi:10.1016/j.cub.2006.01.057 · Cited by 132 · see citing works
VanGuilder, H. D., Bixler, G. V., Brucklacher, R. M., Farley, J. A., Yan, H., Warrington, J. P., Sonntag, W. E., & Freeman, W. M. (2011) · Journal of Neuroinflammation · doi:10.1186/1742-2094-8-138 · Cited by 132 · see citing works
Ageing and the regulation of protein synthesis: a balancing act?
Tavernarakis, N. (2008) · Trends in Cell Biology · doi:10.1016/j.tcb.2008.02.004 · Cited by 129 · see citing works
Higami, Y., Barger, J. L., Page, G. P., Allison, D. B., Smith, S. R., Prolla, T. A., & Weindruch, R. (2006) · The Journal of Nutrition · doi:10.1093/jn/136.2.343 · Cited by 126 · see citing works
Self-citationMerrill, D. A., Chiba, A. A., & Tuszynski, M. H. (2001) · Journal of Comparative Neurology · doi:10.1002/cne.1327 · Cited by 118 · see citing works
DNA microarray analysis of the aging brain
Prolla, T. A. (2002) · Chemical Senses · doi:10.1093/chemse/27.3.299 · Cited by 110 · see citing works
Self-citationGene expression profiling of scrapie-infected brain tissue
Riemer, C., Neidhold, S., Burwinkel, M., Schwarz, A., Schultz, J., Krätzschmar, J., Mönning, U., & Baier, M. (2004) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2004.08.124 · Cited by 108 · see citing works
Lessons learned from gene expression profile studies of aging and caloric restriction
Park, S.-K., & Prolla, T. A. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2004.09.003 · Cited by 106 · see citing works
Self-citationJolly, C. A., Muthukumar, A., Avula, C. P. R., Fernandes, G., & Troyer, D. (2001) · The Journal of Nutrition · doi:10.1093/jn/131.10.2753 · Cited by 104 · see citing works
Neuroprotective effects of dietary restriction: Evidence and mechanisms
Pani, G. (2015) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2015.03.004 · Cited by 103 · see citing works
miR‐186 is decreased in aged brain and suppresses <scp>BACE</scp>1 expression
Kim, J., Yoon, H., Chung, D., Brown, J. L., Belmonte, K. C., & Kim, J. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13507 · Cited by 102 · see citing works
Differential patterns of apoptosis in response to aging in <i>Drosophila</i>
Zheng, J., Edelman, S. W., Tharmarajah, G., Walker, D. W., Pletcher, S. D., & Seroude, L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503374102 · Cited by 100 · see citing works
Chouliaras, L., L.A. van den Hove, D., Kenis, G., Keitel, S., R. Hof, P., van Os, J., W.M. Steinbusch, H., Schmitz, C., & P.F. Rutten, B. (2012) · Current Alzheimer Research · doi:10.2174/156720512800618035 · Cited by 91 · see citing works
Age-related changes in sleep in inbred mice are genotype dependent
Hasan, S., Dauvilliers, Y., Mongrain, V., Franken, P., & Tafti, M. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.010 · Cited by 92 · see citing works
Lifespan and Stress Resistance in Drosophila with Overexpressed DNA Repair Genes
Shaposhnikov, M., Proshkina, E., Shilova, L., Zhavoronkov, A., & Moskalev, A. (2015) · Scientific Reports · doi:10.1038/srep15299 · Cited by 88 · see citing works
Transcriptome of embryonic and neonatal mouse cortex by high-throughput RNA sequencing
Han, X., Wu, X., Chung, W.-Y., Li, T., Nekrutenko, A., Altman, N. S., Chen, G., & Ma, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902417106 · Cited by 83 · see citing works
Complement in Alzheimer's disease: opportunities for modulating protective and pathogenic events
Tenner, A. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00301-3 · Cited by 81 · see citing works
Prevention of age-related changes in hippocampal levels of 5-methylcytidine by caloric restriction
Chouliaras, L., van den Hove, D. L. A., Kenis, G., Keitel, S., Hof, P. R., van Os, J., Steinbusch, H. W. M., Schmitz, C., & Rutten, B. P. F. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.06.003 · Cited by 78 · see citing works
Gene expression and DNA repair in progeroid syndromes and human aging
Kyng, K. J., & Bohr, V. A. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2005.06.008 · Cited by 71 · see citing works
Molecular and cellular aspects of age-related cognitive decline and Alzheimer’s disease
Hullinger, R., & Puglielli, L. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.008 · Cited by 68 · see citing works
- Authors
- Lee, C.-K., Weindruch, R., & Prolla, T. A.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Weindruch, Richard
- Prolla, Tomas A.
- ORCID
- Lee, Cheol-Koo
- Venue
- Nature Genetics
- Published
- 2000-07
- Volume
- 25
- Issue
- 3
- Pages
- 294-297
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W1488124756
- Cited by
- 1,055
- References
- 25
- Citations by year
- 2026: 2 · 2025: 18 · 2024: 14 · 2023: 18 · 2022: 12 · 2021: 34 · 2020: 22 · 2019: 23 · 2018: 29 · 2017: 24 · 2016: 33 · 2015: 38 · 2014: 31 · 2013: 37 · 2012: 44
- FWCI
- 25.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ca078723-04)
- National Institute on Aging (P01-AG-11915, P01AG011915)
- National Cancer Institute (R01 CA 78723)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Antioxidants, Aging, Portulaca oleracea
- Keywords
- brain aging, gene expression profiling, neocortex, cerebellum, neuroinflammation, oxidative stress, neurotrophic support, caloric restriction, Alzheimer's disease, Parkinson's disease, neurodegeneration
- MeSH terms
- Aging, Animals, Brain, Cerebellum, Male, Mice, Inbred C57BL, RNA, Messenger, Gene Expression, Neocortex, RNA Stability, Mice
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