The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Molecular aging in human prefrontal cortex is selective and continuous throughout adult life
Abstract
Background Aging leads to morphologic and functional changes in the brain and is associated with increased risk for psychiatric and neurological disorders.Methods To identify age-related transcriptional changes in the human brain, we profiled gene expression in two prefrontal cortex (PFC) areas in postmortem samples from 39 subjects, ranging in age from 13 to 79 years.Results Robust transcriptional age-related changes were identified for at least 540 genes. Gene expression correlates of aging were highly specific, and the large majority of the 22,000 transcripts investigated were unaffected by age. Across subjects, changes were progressive throughout adult life and accurately predicted chronological age. Age-upregulated transcripts were mostly of glial origin and related to inflammation and cellular defenses, whereas downregulated genes displayed mostly neuron-enriched transcripts relating to cellular communication and signaling.Conclusions Continuous changes in gene expression with increasing age revealed a "molecular profile" of aging in human PFC. The restricted scope of the transcript changes suggests cellular populations or functions that are selectively vulnerable during aging. Because age-related gene expression changes begin early in adulthood and are continuous throughout life, our results suggest the possibility of identifying early cellular mechanisms that may be engaged in preventive or detrimental age-related brain functions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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 [12]
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Summaries of Affymetrix GeneChip probe level data
Irizarry, R. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng015 · Cited by 4,837
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Insights into the ageing mind: a view from cognitive neuroscience
Hedden, T., & Gabrieli, J. D. E. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1323 · Cited by 2,223
Models of visuospatial and verbal memory across the adult life span.
Park, D. C., Lautenschlager, G. J., Hedden, T., Davidson, N. S., Smith, A. D., & Smith, P. K. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.299 · Cited by 1,929
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
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
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425
Research works printed but not linked: 1
- Sastre, 1994, Density of alpha-2A adrenoceptors and Gi proteins in the human brain, J Pharmacol Exp Ther, 269, 1062
Cited by
Sorted by citations
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
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
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
Epigenetic mechanisms in neurological disease
Jakovcevski, M., & Akbarian, S. (2012) · Nature Medicine · doi:10.1038/nm.2828 · Cited by 450
Major Shifts in Glial Regional Identity Are a Transcriptional Hallmark of Human Brain Aging
Soreq, L., Rose, J., Soreq, E., Hardy, J., Trabzuni, D., Cookson, M. R., Smith, C., Ryten, M., Patani, R., & Ule, J. (2017) · Cell Reports · doi:10.1016/j.celrep.2016.12.011 · Cited by 419
Transcriptional neoteny in the human brain
Somel, M., Franz, H., Zheng, Y., Lorenc, A., Guo, S., Giger, T., Kelso, J. F., Nickel, B., Dannemann, M., Bahn, S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900544106 · Cited by 422
Guilloux, J.-P., Douillard-Guilloux, G., Kota, R., Wang, X., Gardier, A. M., Martinowich, K., Tseng, G. C., Lewis, D. A., & Sibille, E. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.113 · Cited by 378
Self-citationAnatomy of the Prefrontal Cortex
Fuster, J. M. (2008) · The Prefrontal Cortex · doi:10.1016/b978-0-12-373644-4.00002-5 · Cited by 364
Oxidative Stress and Epilepsy: Literature Review
Aguiar, C. C. T., Almeida, A. B., Araújo, P. V. P., de Abreu, R. N. D. C., Chaves, E. M. C., do Vale, O. C., Macêdo, D. S., Woods, D. J., Fonteles, M. M. D. F., & Vasconcelos, S. M. M. (2012) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2012/795259 · Cited by 334
MicroRNA, mRNA, and protein expression link development and aging in human and macaque brain
Somel, M., Guo, S., Fu, N., Yan, Z., Hu, H. Y., Xu, Y., Yuan, Y., Ning, Z., Hu, Y., Menzel, C., et al. (2010) · Genome Research · doi:10.1101/gr.106849.110 · Cited by 297
Berchtold, N. C., Coleman, P. D., Cribbs, D. H., Rogers, J., Gillen, D. L., & Cotman, C. W. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.024 · Cited by 298
Klempan, T. A., Sequeira, A., Canetti, L., Lalovic, A., Ernst, C., ffrench-Mullen, J., & Turecki, G. (2009) · Molecular Psychiatry · doi:10.1038/sj.mp.4002110 · Cited by 294
The Beneficial Roles of SIRT1 in Neuroinflammation-Related Diseases
Jiao, F., & Gong, Z. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/6782872 · Cited by 294
Gaiteri, C., Ding, Y., French, B., Tseng, G. C., & Sibille, E. (2014) · Genes, Brain and Behavior · doi:10.1111/gbb.12106 · Cited by 289
Self-citationAnatomy of the Prefrontal Cortex
Fuster, J. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407815-4.00002-7 · Cited by 282
Senatorov, V. V., Friedman, A. R., Milikovsky, D. Z., Ofer, J., Saar-Ashkenazy, R., Charbash, A., Jahan, N., Chin, G., Mihaly, E., Lin, J. M., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aaw8283 · Cited by 257
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
Pantazatos, S. P., Huang, Y.-Y., Rosoklija, G. B., Dwork, A. J., Arango, V, & Mann, J. J. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.130 · Cited by 229
Self-citationBossers, K., Wirz, K. T. S., Meerhoff, G. F., Essing, A. H. W., van Dongen, J. W., Houba, P., Kruse, C. G., Verhaagen, J., & Swaab, D. F. (2010) · Brain · doi:10.1093/brain/awq258 · Cited by 230
Pavlidis, P., Qin, J., Arango, V., Mann, J. J., & Sibille, E. L. (2004) · Neurochemical Research · doi:10.1023/b:nere.0000023608.29741.45 · Cited by 238
Self-citationPrévot, T. D., & Sibille, E. L. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0727-3 · Cited by 238
Self-citationEvidence for Neuronal Desynchrony in the Aged Suprachiasmatic Nucleus Clock
Farajnia, S., Michel, S., Deboer, T., vanderLeest, H. T., Houben, T., Rohling, J. H. T., Ramkisoensing, A., Yasenkov, R., & Meijer, J. H. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0469-12.2012 · Cited by 230
GABA-related transcripts in the dorsolateral prefrontal cortex in mood disorders
Sibille, E., Morris, H. M., Kota, R. S., & Lewis, D. A. (2011) · International Journal of Neuropsychopharmacology · doi:10.1017/s1461145710001616 · Cited by 217
Self-citationAnalysis of whole genome biomarker expression in blood and brain
Rollins, B. L., Martin, M. V., Morgan, L. Z., & Vawter, M. P. (2010) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31062 · Cited by 217
Widespread splicing changes in human brain development and aging
Mazin, P., Xiong, J., Liu, X., Yan, Z., Zhang, X., Li, M., He, L., Somel, M., Yuan, Y., Phoebe Chen, Y., et al. (2013) · Molecular Systems Biology · doi:10.1038/msb.2012.67 · Cited by 216
A Molecular Signature of Depression in the Amygdala
Sibille, E. L., Wang, Y., Joeyen-Waldorf, J., Gaiteri, C., Surget, A., Oh, S., Belzung, C., Tseng, G. C., & Lewis, D. A. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08121760 · Cited by 216
Self-citationSurget, A., Wang, Y., Leman, S., Ibargüen-Vargas, Y., Edgar, N. M., Griebel, G., Belzung, C., & Sibille, E. L. (2008) · Neuropsychopharmacology · doi:10.1038/npp.2008.76 · Cited by 203
Self-citationOpportunities and challenges of pluripotent stem cell neurodegenerative disease models
Sandoe, J., & Eggan, K. C. (2013) · Nature Neuroscience · doi:10.1038/nn.3425 · Cited by 198
Reduced somatostatin in subgenual anterior cingulate cortex in major depression
Tripp, A., Kota, R. S., Lewis, D. A., & Sibille, E. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.01.014 · Cited by 190
Self-citationShared Gene Expression Alterations in Schizophrenia and Bipolar Disorder
Shao, L., & Vawter, M. P. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.11.010 · Cited by 183
Cognitive dysfunction with aging and the role of inflammation
Simen, A. A., Bordner, K. A., Martin, M. P., Moy, L. A., & Barry, L. C. (2011) · Therapeutic Advances in Chronic Disease · doi:10.1177/2040622311399145 · Cited by 186
The Effects of Vitamin B in Depression
Mikkelsen, K., Stojanovska, L., & Apostolopoulos, V. (2016) · Current Medicinal Chemistry · doi:10.2174/0929867323666160920110810 · Cited by 177
Soumier, A., & Sibille, E. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.76 · Cited by 136
Self-citationSchubert, D., Martens, G. J. M., & Kolk, S. M. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.147 · Cited by 157
Inflammatory processes in the aging mouse brain: Participation of dendritic cells and T-cells
Stichel, C. C., & Luebbert, H. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.022 · Cited by 151
Aging, Synaptic Dysfunction, and Insulin-Like Growth Factor (IGF)-1
Deák, F., & Sonntag, W. E. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls118 · Cited by 151
Exploring Sex-Related Differences in Microglia May Be a Game-Changer in Precision Medicine
Lynch, M. A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.868448 · Cited by 146
Genetic and epigenetic regulation of human aging and longevity
Morris, B. J., Willcox, B. J., & Donlon, T. A. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.08.039 · Cited by 140
Dystrophic microglia in late‐onset Alzheimer's disease
Streit, W. J., Khoshbouei, H., & Bechmann, I. (2020) · Glia · doi:10.1002/glia.23782 · Cited by 152
Lee, T., Greening, S. G., Ueno, T., Clewett, D., Ponzio, A., Sakaki, M., & Mather, M. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0344-1 · Cited by 148
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
Sibille, E. L. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.1/esibille · Cited by 131
Self-citationBiological Markers of Age-Related Memory Deficits
Foster, T. C. (2006) · CNS Drugs · doi:10.2165/00023210-200620020-00006 · Cited by 119
Wei, Y.-N., Hu, H.-Y., Xie, G.-C., Fu, N., Ning, Z.-B., Zeng, R., & Khaitovich, P. (2015) · Genome Biology · doi:10.1186/s13059-015-0608-2 · Cited by 117
Reduced brain somatostatin in mood disorders: a common pathophysiological substrate and drug target?
Lin, L., & Sibille, E. L. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00110 · Cited by 122
Self-citationMethodological considerations for gene expression profiling of human brain
Atz, M. E., Walsh, D. M. A., Cartagena, P. M., Li, J. Z., Evans, S. J., Choudary, P. V., Overman, K., Stein, R., Tomita, H., Potkin, S. G., et al. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.022 · Cited by 115
Neurodegenerative model of schizophrenia: Growing evidence to support a revisit
Stone, W. S., Phillips, M. R., Yang, L. H., Kegeles, L. S., Susser, E., & Lieberman, J. A. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.03.004 · Cited by 114
Oh, H., Lewis, D. A., & Sibille, E. L. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.126 · Cited by 113
Self-citationGlorioso, C. A., Oh, S., Douillard‐Guilloux, G., & Sibille, E. L. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.09.016 · Cited by 105
Self-citationTranscriptome analysis of male–female differences in prefrontal cortical development
Weickert, C. S., Elashoff, M. R., Richards, A., Sinclair, D., Bahn, S., Pääbo, S., Khaitovich, P., & Webster, M. J. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.5 · Cited by 86
Advances in transcriptome analysis of human brain aging
Ham, S., & Lee, S. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-00522-6 · Cited by 82
Cognitive decline: A vitamin B perspective
Mikkelsen, K., Stojanovska, L., Tangalakis, K., Bosevski, M., & Apostolopoulos, V. (2016) · Maturitas · doi:10.1016/j.maturitas.2016.08.001 · Cited by 86
Wang, X., Zaidi, A., Pal, R., Garrett, A. S., Braceras, R., Chen, X., Michaelis, M. L., & Michaelis, E. K. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-12 · Cited by 90
Stress-induced changes in primate prefrontal profiles of gene expression
Karssen, A. M., Her, S., Li, J. Z., Patel, P. D., Meng, F., Bunney, W. E., Jones, E. G., Watson, S. J., Akil, H., Myers, R., et al. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002095 · Cited by 86
Between destiny and disease: Genetics and molecular pathways of human central nervous system aging
Glorioso, C. A., & Sibille, E. L. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.11.006 · Cited by 83
Self-citationSárvári, M., Hrabovszky, E., Kalló, I., Solymosi, N., Likó, I., Berchtold, N. C., Cotman, C. W., & Liposits, Z. (2012) · Journal of Neuroinflammation · doi:10.1186/1742-2094-9-264 · Cited by 81
Naumova, O. Y., Lee, M., Rychkov, S. Y., Vlasova, N. V., & Grigorenko, E. L. (2012) · Child Development · doi:10.1111/cdev.12014 · Cited by 81
Head, E. (2010) · AGE · doi:10.1007/s11357-010-9183-3 · Cited by 81
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
Slagboom, P. E., Beekman, M., Passtoors, W. M., Deelen, J., Vaarhorst, A. A. M., Boer, J. M., van den Akker, E. B., van Heemst, D., de Craen, A. J. M., Maier, A. B., et al. (2010) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2010.0284 · Cited by 71
Sutherland, G. T., Janitz, M., & Kril, J. J. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.07157.x · Cited by 67
The Age-by-Disease Interaction Hypothesis of Late-Life Depression
McKinney, B. C., & Sibille, E. L. (2013) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.01.053 · Cited by 71
Self-citationTissue preparation and banking
Webster, M. J. (2006) · Progress in Brain Research · doi:10.1016/s0079-6123(06)58001-x · Cited by 67
Dillman, A., Majounie, E., Ding, J., Gibbs, J. R., Hernandez, D. G., Arepalli, S., Traynor, B. J., Singleton, A., Galter, D., & Cookson, M. R. (2017) · Scientific Reports · doi:10.1038/s41598-017-17322-0 · Cited by 65
Sibille, E. L., Su, J., Leman, S., Guisquet, A. M. L., Ibargüen-Vargas, Y., Joeyen-Waldorf, J., Glorioso, C. A., Tseng, G. C., Pezzone, M. A., Hen, R., et al. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4001990 · Cited by 66
Self-citationThe first decade and beyond of transcriptional profiling in schizophrenia
Sequeira, A., Martin, M. V., & Vawter, M. P. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.03.001 · Cited by 64
Ianov, L., Riva, A., Kumar, A., & Foster, T. C. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00249 · Cited by 65
Marttila, S., Chatsirisupachai, K., Palmer, D. H., & de Magalhães, J. P. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.111177 · Cited by 62
Choi, K. H., Zepp, M. E., Higgs, B. W., Weickert, C. S., & Webster, M. J. (2009) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0956 · Cited by 68
Anticipated brain molecular aging in major depression
Douillard-Guilloux, G., Guilloux, J.-P., Lewis, D. A., & Sibille, E. (2013) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.01.040 · Cited by 62
Self-citationNeurochemical correlation between major depressive disorder and neurodegenerative diseases
Réus, G. Z., Titus, S. E., Abelaira, H. M., Freitas, S. M., Tuon, T., Quevedo, J., & Budni, J. (2016) · Life Sciences · doi:10.1016/j.lfs.2016.06.027 · Cited by 67
Gene expression in the hippocampus: Regionally specific effects of aging and caloric restriction
Zeier, Z. R., Madorsky, I., Xu, Y., Ogle, W. O., Notterpek, L. M., & Foster, T. C. (2010) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2010.10.006 · Cited by 63
Age-Dependent Changes in the Activation and Regulation of Microglia
Cornejo, F., & Rommy von Bernhardi, M. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-40764-7_10 · Cited by 61
Lutz, P.-É., Chay, M.-A., Pacis, A., Chen, G. G., Aouabed, Z., Maffioletti, E., Théroux, J., Grenier, J., Yang, J., Aguirre, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21365-3 · Cited by 59
Srikanth, P., & Young‐Pearse, T. L. (2014) · Journal of Neurogenetics · doi:10.3109/01677063.2014.881358 · Cited by 61
Dietary methyl donor deficiency during pregnancy in rats shapes learning and anxiety in offspring
Konycheva, G., Dziadek, M. A., Ferguson, L. R., Krägeloh, C. U., Coolen, M. W., Davison, M., & Breier, B. H. (2011) · Nutrition Research · doi:10.1016/j.nutres.2011.09.015 · Cited by 58
Transcription Profile of Aging and Cognition-Related Genes in the Medial Prefrontal Cortex
Ianov, L., Rani, A., Beas, B. S., Kumar, A., & Foster, T. C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00113 · Cited by 55
Gain in Brain Immunity in the Oldest-Old Differentiates Cognitively Normal from Demented Individuals
Katsel, P., Tan, W., & Haroutunian, V. H. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007642 · Cited by 57
Pirooznia, S. K., & Elefant, F. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00030 · Cited by 53
Biological substrates underpinning diagnosis of major depression
Sibille, E. L., & French, B. J. (2013) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145713000436 · Cited by 53
Self-citationOlder molecular brain age in severe mental illness
Lin, C., Chang, L., Ma, T., Oh, H., French, B. J., Puralewski, R., Mathews, F., Fang, Y., Lewis, D. A., Kennedy, J. L., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0834-1 · Cited by 52
Self-citationCoping with Stress During Aging: The Importance of a Resilient Brain
Sampedro-Piquero, P., Alvarez-Suarez, P., & Begega, A. (2018) · Current Neuropharmacology · doi:10.2174/1570159x15666170915141610 · Cited by 41
Walia, V., Chaudhary, S. K., & Kumar Sethiya, N. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2020.104939 · Cited by 51
Zhu, Y., Owens, S. J., Murphy, C. E., Ajulu, K., Rothmond, D. A., Purves-Tyson, T. D., Middleton, F. A., Webster, M. J., & Weickert, C. S. (2022) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2022.06.012 · Cited by 49
Transcriptional Profiling of Human Familial Longevity Indicates a Role for ASF1A and IL7R
Passtoors, W. M., Boer, J. M., Goeman, J. J., van den Akker, E. B., Deelen, J., Zwaan, B. J., Scarborough, A., van der Breggen, R., Vossen, R. H. A. M., Houwing‐Duistermaat, J. J., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0027759 · Cited by 48
Luebke, J. I., & Chang, Y. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.09.042 · Cited by 48
Smith, G. S., Gunning‐Dixon, F. M., Lotrich, F. E., Taylor, W. D., & Evans, J. D. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301333 · Cited by 45
Altered Gene Synchrony Suggests a Combined Hormone-Mediated Dysregulated State in Major Depression
Gaiteri, C., Guilloux, J., Lewis, D. A., & Sibille, E. L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009970 · Cited by 45
Self-citationFrench, L., Ma, T., Oh, H., Tseng, G. C., & Sibille, E. L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00162 · Cited by 46
Self-citationNormal human aging and early‐stage schizophrenia share common molecular profiles
Tang, B., Chang, W., Lanigan, C. M. S., Dean, B., Sutcliffe, J. G., & Thomas, E. A. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00468.x · Cited by 44
Dissecting mechanisms of brain aging by studying the intrinsic excitability of neurons
Rizzo, V., Richman, J., & Puthanveettil, S. V. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00337 · Cited by 46
Sixty years old is the breakpoint of human frontal cortex aging
Cabré, R., Naudí, A., Domínguez-González, M., Ayala, V., Jové, M., Mota‐Martorell, N., Piñol‐Ripoll, G., Gil‐Villar, M. P., Rué, M., Portero‐Otín, M., et al. (2016) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.12.010 · Cited by 42
Wolf, G., Lotan, A., Lifschytz, T., Ben-Ari, H., Kreisel, T., Tatarskyy, P., Valitzky, M., Mernick, B., Avidan, E., Koroukhov, N., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00191 · Cited by 39
Marenco, S., Meyer, C., van der Veen, J. W. C., Zhang, Y., Kelly, R., Shen, J., Weinberger, D. R., Dickinson, D., & Berman, K. F. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0134-5 · Cited by 40
Implications of age and diet on canine cerebral cortex transcription
Swanson, K. S., Vester, B. M., Apanavicius, C. J., Kirby, N. A., & Schook, L. B. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.10.017 · Cited by 41
Age-Correlated Gene Expression in Normal and Neurodegenerative Human Brain Tissues
Cao, K., Chen‐Plotkin, A. S., Plotkin, J. B., & Wang, L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013098 · Cited by 40
Li, R., Yin, S., Zhu, X., Ren, W., Yu, J., Wang, P., Zheng, Z., Niu, Y., Huang, X., & Li, J. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00385 · Cited by 40
Datta, D., Yang, S., Joyce, M. K. P., Woo, E., McCarroll, S. A., González‐Burgos, G., Perone, I., Uchendu, S., Ling, E., Goldman, M., et al. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.1112 · Cited by 39
Reversal of Age-Related Neuronal Atrophy by α5-GABAA Receptor Positive Allosteric Modulation
Prévot, T. D., Sumitomo, A., Tomoda, T., Knutson, D. E., Li, G., Mondal, P., Banasr, M., Cook, J. M., & Sibille, E. L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa310 · Cited by 41
Self-citationThe effect of age, sex and strains on the performance and outcome in animal models of stroke
Zhang, H., Lin, S., Chen, X., Gu, L., Zhu, X., Zhang, Y., Reyes, K., Wang, B. Z., & Jin, K. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2018.10.005 · Cited by 38
Metadata
- Authors
- Erraji-Benchekroun, L., Underwood, M. D., Arango, V., Galfalvy, H., Pavlidis, P., Smyrniotopoulos, P., Mann, J. J., & Sibille, E.
- Affiliations
- New York State Psychiatric Institute (US)
- Columbia University (US)
- Corresponding author
- Sibille, Etienne
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 57
- Issue
- 5
- Pages
- 549-558
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2151431569
- Cited by
- 236
- References
- 58
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 10 · 2023: 13 · 2022: 6 · 2021: 3 · 2020: 10 · 2019: 15 · 2018: 11 · 2017: 12 · 2016: 12 · 2015: 13 · 2014: 13 · 2013: 18 · 2012: 14
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (T32MH020004, MH 62185, R01MH064168, MH64168, R01 MH40210, R01MH040210, F32MH63559, F32MH063559, K01MH067721, P50MH062185)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- brain aging, prefrontal cortex, age-related gene expression, transcriptome, neuroinflammation, neuronal gene expression, age prediction, postmortem brain, adult neuroplasticity
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aging, Female, Humans, Longevity, Male, Middle Aged, Neuroglia, Neurons, Postmortem Changes, RNA, Messenger, Gene Expression, Prefrontal Cortex, Gene Expression Regulation, Developmental, Reverse Transcriptase Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
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