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Sex differences in metabolic aging of the brain: insights into female susceptibility to Alzheimer's disease
Open accessAbstract
Despite recent advances in the understanding of clinical aspects of sex differences in Alzheimer's disease (AD), the underlying mechanisms, for instance, how sex modifies AD risk and why the female brain is more susceptible to AD, are not clear. The purpose of this study is to elucidate sex disparities in brain aging profiles focusing on 2 major areas-energy and amyloid metabolism-that are most significantly affected in preclinical development of AD. Total RNA isolated from hippocampal tissues of both female and male 129/C57BL/6 mice at ages of 6, 9, 12, or 15 months were comparatively analyzed by custom-designed Taqman low-density arrays for quantitative real-time polymerase chain reaction detection of a total of 182 genes involved in a broad spectrum of biological processes modulating energy production and amyloid homeostasis. Gene expression profiles revealed substantial differences in the trajectory of aging changes between female and male brains. In female brains, 44.2% of genes were significantly changed from 6 months to 9 months and two-thirds showed downregulation. In contrast, in male brains, only 5.4% of genes were significantly altered at this age transition. Subsequent changes in female brains were at a much smaller magnitude, including 10.9% from 9 months to 12 months and 6.1% from 12 months to 15 months. In male brains, most changes occurred from 12 months to 15 months and the majority were upregulated. Furthermore, gene network analysis revealed that clusterin appeared to serve as a link between the overall decreased bioenergetic metabolism and increased amyloid dyshomeostasis associated with the earliest transition in female brains. Together, results from this study indicate that: (1) female and male brains follow profoundly dissimilar trajectories as they age; (2) female brains undergo age-related changes much earlier than male brains; (3) early changes in female brains signal the onset of a hypometabolic phenotype at risk for AD. These findings provide a mechanistic rationale for female susceptibility to AD and suggest a potential window of opportunity for AD prevention and risk reduction in women.
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“Although sex differences in immune response 17 , 18 , 19 and mitochondrial metabolism 79 have been reported in AD, other molecular processes identified here remain understudied.”
From Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes (2025) · cites this paper as [79]
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Citations
Cites
Analyzing real-time PCR data by the comparative CT method
Schmittgen, T. D., & Livak, K. J. (2008) · Nature Protocols · doi:10.1038/nprot.2008.73 · Cited by 26,190
2013 Alzheimer's disease facts and figures
Thies, W. H., & Bleiler, L. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.02.003 · Cited by 3,372
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234
Yao, J., Irwin, R. W., Zhao, L., Nilsen, J., Hamilton, R. T., & Brinton, R. D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903563106 · Cited by 940
Self-citationHormone Replacement Therapy and Incidence of Alzheimer Disease in Older Women The Cache County Study
Zandi, P. P. (2002) · JAMA · doi:10.1001/jama.288.17.2123 · Cited by 908
Sex modifies the APOE ‐related risk of developing Alzheimer disease
Altmann, A., Tian, L., Henderson, V. W., Greicius, M. D., & Alzheimer's Disease Neuroimaging Initiative Investigators (2014) · Annals of Neurology · doi:10.1002/ana.24135 · Cited by 891
The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives
Swerdlow, R. H., Burns, J. M., & Khan, S. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.09.010 · Cited by 786 · cited 1×
“The target genes were selected based on their involvement in energy and amyloid metabolism, 2 major areas that are most significantly affected in preclinical development of AD (Brinton, 2009; Mosconi et al., 2006; Swerdlow et al., 2013; Yao et al., 2009).”
BackgroundThe Relationships Between Age, Sex, and the Incidence of Dementia and Alzheimer Disease
Gao, S., Hendrie, H. C., Hall, K. S., & Hui, S. L. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.9.809 · Cited by 782
Sex Differences in the Clinical Manifestations of Alzheimer Disease Pathology
Barnes, L. L., Wilson, R. S., Bienias, J. L., Schneider, J. A., Evans, D. A., & Bennett, D. A. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.685 · Cited by 643
National estimates of the prevalence of Alzheimer's disease in the United States
Brookmeyer, R., Evans, D. A., Hebert, L. E., Langa, K. M., Heeringa, S. G., Plassman, B. L., & Kukull, W. A. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.11.007 · Cited by 416
Estrogen-induced plasticity from cells to circuits: predictions for cognitive function
Brinton, R. D. (2009) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2008.12.006 · Cited by 327
Self-citationInsulin, IGF-1 and GLP-1 signaling in neurodegenerative disorders: Targets for disease modification?
Bassil, F., Fernagut, P., Bézard, E., & Meissner, W. G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.005 · Cited by 323
Greater cognitive deterioration in women than men with Alzheimer's disease: A meta analysis
Irvine, K., Laws, K. R., Gale, T. M., & Kondel, T. K. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2012.712676 · Cited by 290
Risk profiles for mild cognitive impairment and progression to dementia are gender specific
Artero, S., Ancelin, M.-L., Portet, F., Dupuy, A., Berr, C., Dartigues, J.-F., Tzourio, C., Rouaud, O., Poncet, M., Pasquier, F., et al. (2008) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.136903 · Cited by 281
(2006) · PubMed · Cited by 269
Clusterin: A forgotten player in Alzheimer's disease
Nuutinen, T., Suuronen, T., Kauppinen, A., & Salminen, A. (2009) · Brain Research Reviews · doi:10.1016/j.brainresrev.2009.05.007 · Cited by 267
Payami, H., Zareparsi, S., Montee, K. R., Sexton, G. J., Kaye, J. A., Bird, T. D., Yu, C. E., Wijsman, E. M., Heston, L. L., Litt, M. J., et al. (1996) · PubMed Central · Cited by 248
Ungar, L., Altmann, A., & Greicius, M. D. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9272-x · Cited by 246
Sex and Gender Differences in Alzheimer's Disease: Recommendations for Future Research
Carter, C. L., Resnick, E. M., Mallampalli, M., & Kalbarczyk, A. (2012) · Journal of Women's Health · doi:10.1089/jwh.2012.3789 · Cited by 231
Nelson, J. F., Felicio, L. S., Osterburg, H. H., & Finch, C. E. (1981) · Biology of Reproduction · doi:10.1095/biolreprod24.4.784 · Cited by 223
Zandi, P. P., Carlson, M. C., Plassman, B. L., Welsh-Bohmer, K. A., Mayer, L. S., Steffens, D. C., & Breitner, J. C. S. (2003) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000055761.75837.23 · Cited by 197
Evidence for an Interaction between Apolipoprotein E Genotype, Gender, and Alzheimer Disease
Bretsky, P., Buckwalter, J. G., Seeman, T. E., Miller, C. A., Poirier, J., Schellenberg, G. D., Finch, C. E., & Henderson, V. W. (1999) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199910000-00007 · Cited by 183
Toward a comprehensive neurobiology of IGF‐I
Torres‐Alemán, I. (2010) · Developmental Neurobiology · doi:10.1002/dneu.20778 · Cited by 177
The Role of Clusterin in Alzheimer’s Disease: Pathways, Pathogenesis, and Therapy
Yu, J.-T., & Tan, L. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8237-1 · Cited by 174
A gender difference in the association between APOE genotype and age-related cognitive decline
Mortensen, E. L., & Høgh, P. (2001) · Neurology · doi:10.1212/wnl.57.1.89 · Cited by 171
Trougakos, I. P. (2013) · Gerontology · doi:10.1159/000351207 · Cited by 134
Hormone replacement therapy and incidence of Alzheimer disease in older women
(2003) · Obstetrics and Gynecology · doi:10.1097/00006250-200302000-00033 · Cited by 126
Farrer, L. A. (1997) · JAMA · doi:10.1001/jama.1997.03550160069041 · Cited by 124 · cited 1×
“…the ε4 allele of the apolipoprotein E gene (APOE4), the strongest genetic risk factor for late-onset AD, has been associated with a far more pronounced risk for AD in women than in men (Altmann et al., 2014; Bretsky et al., 1999; Farrer et al., 1997; Mortensen and Hogh, 2001; Neurobiol Aging.”
BackgroundSex and Gender Differences in Clinical Medicine
Regitz‐Zagrosek, V., & Seeland, U. (2012) · Handbook of experimental pharmacology · doi:10.1007/978-3-642-30726-3_1 · Cited by 111
The clusterin paradigm in prostate and breast carcinogenesis
Rizzi, F., & Bettuzzi, S. (2009) · Endocrine Related Cancer · doi:10.1677/erc-09-0140 · Cited by 108
Xu, X. Z. S., Zhan, M., Duan, W., Prabhu, V. V., Brenneman, R., Wood, W. H., Firman, J., Li, H., Zhang, P., Ibe, C. N., et al. (2007) · Genome biology · doi:10.1186/gb-2007-8-11-r234 · Cited by 100
Progressive regional atrophy in normal adults with a maternal history of Alzheimer disease
Honea, R. A., Swerdlow, R. H., Vidoni, E. D., & Burns, J. M. (2011) · Neurology · doi:10.1212/wnl.0b013e31820e7b74 · Cited by 99
Sting of Alzheimer's failures offset by upcoming prevention trials
Mullard, A. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3842 · Cited by 97
Zhao, L.-Q., Mao, Z.-S., & Brinton, R. (2009) · Endocrinology · doi:10.1210/en.2008-0715 · Cited by 96
Self-citationInsulin-like growth factors in the brain and their potential clinical implications
Benarroch, E. E. (2012) · Neurology · doi:10.1212/wnl.0b013e3182752eef · Cited by 92
Chapman, R. M., Mapstone, M. E., Gardner, M. N., Sandoval, T. C., McCrary, J. W., Guillily, M. D., Reilly, L. A., & DeGrush, E. (2011) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617711000452 · Cited by 85
Maternal transmission of Alzheimer's disease: prodromal metabolic phenotype and the search for genes
Mosconi, L., Berti, V., Swerdlow, R. H., Pupi, A., Duara, R., & de Leon, M. (2010) · Human Genomics · doi:10.1186/1479-7364-4-3-170 · Cited by 85
Ancient Divergence of Insulin and Insulin-Like Growth Factor
McRory, J. E., & Sherwood, N. M. (1997) · DNA and Cell Biology · doi:10.1089/dna.1997.16.939 · Cited by 80
[Sex differences in Alzheimer's disease].
Schmidt, R., Kienbacher, E., Benke, T., Dal‐Bianco, P., Delazer, M., Ladurner, G., Jellinger, K. A., Marksteiner, J., Ransmayr, G. N., Schmidt, H., et al. (2008) · PubMed · Cited by 69
Metabolic triad in brain aging: mitochondria, insulin/IGF-1 signalling and JNK signalling
Yin, F., Jiang, T., & Cadenas, E. (2013) · Biochemical Society Transactions · doi:10.1042/bst20120260 · Cited by 67
Zhao, L., Morgan, T. E., Mao, Z., Lin, S., Cadenas, E., Finch, C. E., Pike, C. J., Mack, W. J., & Brinton, R. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031267 · Cited by 58
Self-citationStructural brain changes in normal individuals with a maternal history of Alzheimer's
Berti, V., Mosconi, L., Glodzik, L., Li, Y., Murray, J., De Santi, S., Pupi, A., Tsui, W., & De Leon, M. J. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.01.001 · Cited by 58
Association of the clusterin gene polymorphisms with type 2 diabetes mellitus
Daimon, M., Oizumi, T., Karasawa, S., Kaino, W., Takase, K., Tada, K., Jimbu, Y., Wada, K., Kameda, W., Susa, S., et al. (2010) · Metabolism · doi:10.1016/j.metabol.2010.07.033 · Cited by 55
Clusterin in neurological disorders: Molecular perspectives and clinical relevance
Charnay, Y., Imhof, A., Vallet, P. G., Kövari, E., Bouras, C., & Giannakopoulos, P. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2012.05.006 · Cited by 53
Regulation of CLU Gene Expression by Oncogenes and Epigenetic Factors
Sala, A., Bettuzzi, S., Pucci, S., Chayka, O., Dews, M., & Thomas‐Tikhonenko, A. (2009) · Advances in cancer research · doi:10.1016/s0065-230x(09)05007-6 · Cited by 51
Bertram, L., & Tanzi, R. E. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.213 · Cited by 44
IGF-I gene variability is associated with an increased risk for AD
Vargas, T., Martı́nez-Garcı́a, A., Antequera, D., Vilella, E., Clarimón, J., Mateo, I., Sánchez‐Juan, P., Rodríguez‐Rodríguez, E., Frank, A., Rosich-Estragó, M., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.10.017 · Cited by 41
Role of Insulin-Like Growth Factors in Growth, Development and Feeding
Wit, J. M., & Walenkamp, M. J. E. (2013) · World review of nutrition and dietetics · doi:10.1159/000342546 · Cited by 34
Boston Naming Test: Gender Differences in Older Adults with and without Alzheimer’s Dementia
Hall, J. R., Vo, H. T., Johnson, L. A., Wiechmann, A. R., & O’Bryant, S. E. (2012) · Psychology · doi:10.4236/psych.2012.36068 · Cited by 34
Johnson, J. K., McCleary, R., Oshita, M. H., & Cotman, C. W. (1998) · Brain Research · doi:10.1016/s0006-8993(98)00363-1 · Cited by 32
Wang, W., Yu, J., Tan, L., Liu, Q., Wang, H.-F., & Ma, X. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.10.015 · Cited by 22
SREBP-1c regulates glucose-stimulated hepatic clusterin expression
Kim, G., Kim, G. H., Oh, G., Yoon, J. H., Kim, H. W., Kim, M., & Kim, S. (2011) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2011.04.111 · Cited by 20
Graafian follicle growth and replacement in anovulatory ovaries of ageing C57BL/6J mice
Gosden, R. G., Laing, S., Flurkey, K., & Finch, C. E. (1983) · Reproduction · doi:10.1530/jrf.0.0690453 · Cited by 18
As drug trials fail, Alzheimer's researchers look toward prevention.
Rice, S. (2014) · PubMed · Cited by 4
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Grimm, A., & Eckert, A. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14037 · Cited by 565
Mechanisms of sex differences in Alzheimer’s disease
Lopez-Lee, C., Torres, E. R. S., Carling, G., & Gan, L. (2024) · Neuron · doi:10.1016/j.neuron.2024.01.024 · Cited by 376
BACE1 inhibitors: Current status and future directions in treating Alzheimer's disease
Moussa‐Pacha, N. M., Abdin, S. M., Omar, H. A., Alniss, H., & Al‐Tel, T. H. (2020) · Medicinal Research Reviews · doi:10.1002/med.21622 · Cited by 274
Depression in neurodegenerative diseases: Common mechanisms and current treatment options
Galts, C., Bettio, L. E. B., Jewett, D. C., Yang, C. C., Brocardo, P. S., Rodrigues, A. L. S., Thacker, J. S., & Gil‐Mohapel, J. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.04.002 · Cited by 276
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van der Velpen, V., Teav, T., Gallart‐Ayala, H., Mehl, F., Konz, I., Clark, C., Oikonomidi, A., Peyratout, G., Henry, H., Delorenzi, M., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0551-7 · Cited by 254
Metadata
- Authors
- Zhao, L., Mao, Z., Woody, S. K., & Brinton, R. D.
- Affiliations
- University of Southern California (US)
- University of Kansas (US)
- Corresponding author
- Zhao, Liqin
- ORCID
- Brinton, Roberta D.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 42
- Pages
- 69-79
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC5644989
- OpenAlex
- W2273721423
- Cited by
- 132
- References
- 55
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 12 · 2023: 11 · 2022: 6 · 2021: 15 · 2020: 19 · 2019: 20 · 2018: 14 · 2017: 7 · 2016: 8
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P01AG026572)
- Alzheimer's Association (IIRG-10–172459)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- sex differences, Alzheimer's disease, brain aging, energy metabolism, hippocampus, gene expression profiling, clusterin, preclinical Alzheimer's disease, gene network analysis
- MeSH terms
- Aging, Alzheimer Disease, Animals, Brain, Disease Susceptibility, Energy Metabolism, Female, Hippocampus, Humans, Male, Mice, Inbred C57BL, Risk, Sex Characteristics, Gene Expression, Amyloid beta-Peptides
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