Toward more predictive genetic mouse models of Alzheimer’s disease
Open accessAbstract
Genetic mouse models for Alzheimer's disease (AD) have been widely used to understand aspects of the biology of the disease, but have had limited success in translating these findings to the clinic. In this review, we discuss the benefits and limitations of existing genetic models and recent advances in technologies (including high throughput sequencing and genome editing) that promise more predictive models. We summarize widely used biomarkers and behavioral tests for mouse models of AD and highlight best practices that will maximize translatability of preclinical findings.
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Traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials.
“traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials [286, 287]”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [286]
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Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.72351 · Cited by 6,277 · see citing works
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824 · see citing works
Sleep Drives Metabolite Clearance from the Adult Brain
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411 · see citing works
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153 · see citing works
<i>TREM2</i> Variants in Alzheimer's Disease
Guerreiro, R., Wojtas, A., Bras, J., Carrasquillo, M., Rogaeva, E., Majounie, E., Cruchaga, C., Sassi, C., Kauwe, J. S. K., Younkin, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211851 · Cited by 3,020 · see citing works
Development, maintenance and disruption of the blood-brain barrier
Obermeier, B., Daneman, R., & Ransohoff, R. M. (2013) · Nature Medicine · doi:10.1038/nm.3407 · Cited by 2,452 · see citing works
The glymphatic system: a beginner's guide
Jessen, N. A., Munk, A. S. F., Lundgaard, I., & Nedergaard, M. (2015) · Neurochemical Research · doi:10.1007/s11064-015-1581-6 · Cited by 2,075 · see citing works
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857 · see citing works
TREM2 Lipid Sensing Sustains the Microglial Response in an Alzheimer’s Disease Model
Wang, Y., Cella, M., Mallinson, K., Ulrich, J. D., Young, K. L., Robinette, M. L., Gilfillan, S., Krishnan, G. M., Sudhakar, S., Zinselmeyer, B. H., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.049 · Cited by 1,736 · see citing works
Single App knock-in mouse models of Alzheimer’s disease
Saito, T., Matsuba, Y., Mihira, N., Takano, J., Nilsson, P., Itohara, S., Iwata, N., & Saido, T. C. (2014) · Nature Neuroscience · doi:10.1038/nn.3697 · Cited by 1,447 · see citing works
Apolipoprotein E controls cerebrovascular integrity via cyclophilin A
Bell, R. D., Winkler, E. A., Singh, I., Sagare, A. P., Deane, R., Wu, Z., Holtzman, D. M., Betsholtz, C., Armulik, A., Sallstrom, J., et al. (2012) · Nature · doi:10.1038/nature11087 · Cited by 1,293 · see citing works
A call for transparent reporting to optimize the predictive value of preclinical research
Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., Crystal, R. G., Darnell, R. B., Ferrante, R. J., Fillit, H., et al. (2012) · Nature · doi:10.1038/nature11556 · Cited by 1,196 · see citing works
Kilkenny, C., Parsons, N., Kadyszewski, E., Festing, M. F. W., Cuthill, I. C., Fry, D., Hutton, J., & Altman, D. G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007824 · Cited by 860 · see citing works
Webster, S. J., Bachstetter, A. D., Nelson, P. T., Schmitt, F. A., & Van Eldik, L. J. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00088 · Cited by 755 · see citing works
Jay, T. R., Miller, C. M., Cheng, P. J., Graham, L. C., Bemiller, S., Broihier, M. L., Xu, G., Margevicius, D., Karlo, J. C., Sousa, G. L., et al. (2015) · Journal of Experimental Medicine · doi:10.1084/jem.20142322 · Cited by 682 · see citing works
Sleep and Sleep Disorders in Older Adults
Crowley, K. E. (2011) · Neuropsychology Review · doi:10.1007/s11065-010-9154-6 · Cited by 618 · 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
β-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation
Mander, B. A., Marks, S. M., Vogel, J. W., Rao, V. R., Lu, B. S., Saletin, J., Ancoli‐Israel, S., Jagust, W. J., & Walker, M. P. (2015) · Nature Neuroscience · doi:10.1038/nn.4035 · Cited by 546 · see citing works
Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editing
Ding, Q., Strong, A., Patel, K. M., Ng, S.-L., Gosis, B. S., Regan, S. N., Cowan, C. A., Rader, D. J., & Musunuru, K. (2014) · Circulation Research · doi:10.1161/circresaha.115.304351 · Cited by 522 · see citing works
Amyloid biomarkers in Alzheimer's disease
Blennow, K., Mattsson, N., Schöll, M., Hansson, O., & Zetterberg, H. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2015.03.002 · Cited by 470 · see citing works
High-Resolution Genetic Mapping Using the Mouse Diversity Outbred Population
Svenson, K. L., Gatti, D. M., Valdar, W. S. J., Welsh, C. E., Cheng, R., Chesler, E. J., Palmer, A. A., McMillan, L., & Churchill, G. A. (2012) · Genetics · doi:10.1534/genetics.111.132597 · Cited by 462 · see citing works
Subspecific origin and haplotype diversity in the laboratory mouse
Yang, H., Wang, J., Didion, J. P., Buus, R. J., Bell, T. A., Welsh, C. E., Bonhomme, F., Yu, A. H.-T., Nachman, M. W., Piálek, J., et al. (2011) · Nature Genetics · doi:10.1038/ng.847 · Cited by 459 · see citing works
The diversity outbred mouse population
Churchill, G. A., Gatti, D. M., Munger, S. C., & Svenson, K. L. (2012) · Mammalian Genome · doi:10.1007/s00335-012-9414-2 · Cited by 445 · see citing works
Neurodegenerative disease and adult neurogenesis
Winner, B., Kohl, Z., & Gage, F. H. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07613.x · Cited by 405 · see citing works
Rayaprolu, S., Mullen, B., Baker, M., Lynch, T., Finger, E., Seeley, W. W., Hatanpaa, K. J., Lomen-Hoerth, C., Kertesz, A., Bigio, E. H., et al. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-19 · Cited by 404 · see citing works
η-Secretase processing of APP inhibits neuronal activity in the hippocampus
Willem, M., Tahirovic, S., Busche, M. A., Ovsepian, S. V., Chafai, M., Kootar, S., Hornburg, D., Evans, L. D. B., Moore, S., Daria, A., et al. (2015) · Nature · doi:10.1038/nature14864 · Cited by 398 · see citing works
Endocannabinoid signalling and the deteriorating brain
Marzo, V. D., Stella, N., & Zimmer, A. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3876 · Cited by 381 · see citing works
Preparation and Characterization of Neurotoxic Tau Oligomers
Lasagna-Reeves, C. A., Castillo-Carranza, D. L., Guerrero-Muñoz, M. J., Jackson, G. R., & Kayed, R. (2010) · Biochemistry · doi:10.1021/bi1016233 · Cited by 359 · see citing works
Mouse models of Alzheimer's disease
Hall, A. M., & Roberson, E. D. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.11.017 · Cited by 317 · see citing works
Altered microglial response to Aβ plaques in APPPS1-21 mice heterozygous for TREM2
Ulrich, J. D., Finn, M. B., Wang, Y., Shen, A., Mahan, T. E., Jiang, H., Stewart, F. R., Piccio, L., Colonna, M., & Holtzman, D. M. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-20 · Cited by 302 · see citing works
Bussey, T. J., Holmes, A., Lyon, L., Mar, A. C., McAllister, K. A. L., Nithianantharajah, J., Oomen, C. A., & Saksida, L. M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.04.011 · Cited by 299 · see citing works
Effects of Age and Amyloid Deposition on Aβ Dynamics in the Human Central Nervous System
Huang, Y. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.235 · Cited by 281 · see citing works
Role of the MEOX2 homeobox gene in neurovascular dysfunction in Alzheimer disease
Wu, Z., Guo, H., Chow, N., Sallstrom, J., Bell, R. D., Deane, R., Brooks, A. I., Kanagala, S., Rubio, A., Sagare, A., et al. (2005) · Nature Medicine · doi:10.1038/nm1287 · Cited by 280 · see citing works
<i>TREM2</i>Variant p.R47H as a Risk Factor for Sporadic Amyotrophic Lateral Sclerosis
Cady, J., Koval, E. D., Benitez, B. A., Zaidman, C., Jockel-Balsarotti, J., Allred, P., Baloh, R. H., Ravits, J., Simpson, E., Appel, S. H., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2013.6237 · Cited by 262 · see citing works
Synaptic Contacts Enhance Cell-to-Cell Tau Pathology Propagation
Calafate, S., Buist, A., Miśkiewicz, K., Vijayan, V. A., Daneels, G., Strooper, B. D., de Wit, J., Verstreken, P., & Moechars, D. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.043 · Cited by 257 · see citing works
TREM2and Neurodegenerative Disease
Reitz, C., & Mayeux, R. P. (2013) · New England Journal of Medicine · doi:10.1056/nejmc1306509 · Cited by 254 · see citing works
Age-related changes in the cognitive function of sleep
Pace-Schott, E. F., & Spencer, R. M. C. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53752-2.00012-6 · Cited by 220 · see citing works
CB2 receptor and amyloid pathology in frontal cortex of Alzheimer's disease patients
Solas, M., Francis, P. T., Franco, R., & Ramírez, M. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.06.005 · Cited by 209 · see citing works
Altered neurogenesis in Alzheimer's disease
Ziabreva, I., Perry, E. K., Perry, R., Minger, S. L., Ekonomou, A., Przyborski, S. A., & Ballard, C. G. (2006) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2006.07.017 · Cited by 179 · see citing works
Landel, V., Baranger, K., Virard, I., Loriod, B., Khrestchatisky, M., Rivera, S., Benech, P., & Féron, F. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-33 · Cited by 176 · see citing works
Heterozygous TREM2 mutations in frontotemporal dementia
Borroni, B., Ferrari, F., Galimberti, D., Nacmias, B., Barone, C., Bagnoli, S., Fenoglio, C., Piaceri, I., Archetti, S., Bonvicini, C., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.017 · Cited by 173 · see citing works
Broersen, K., Rousseau, F., & Schymkowitz, J. (2010) · Alzheimer's Research & Therapy · doi:10.1186/alzrt36 · Cited by 168 · see citing works
Tau reduction prevents Aβ-induced axonal transport deficits by blocking activation of GSK3β
Vossel, K. A., Xu, J. C., Fomenko, V., Miyamoto, T., Suberbielle, E., Knox, J. A., Ho, K., Kim, D. H., Yu, G.-Q., & Mucke, L. (2015) · Journal of Cell Biology · doi:10.1083/jcb.201407065 · Cited by 167 · see citing works
CD33 modulates TREM2: convergence of Alzheimer loci
Chan, G., White, C. C., Winn, P. A., Cimpean, M., Replogle, J. M., Glick, L. R., Cuerdon, N. E., Ryan, K. J., Johnson, K. A., Schneider, J. A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4126 · Cited by 162 · see citing works
Impaired Attention in the 3xTgAD Mouse Model of Alzheimer's Disease: Rescue by Donepezil (Aricept)
Romberg, C., Mattson, M. P., Mughal, M. R., Bussey, T. J., & Saksida, L. M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5242-10.2011 · Cited by 160 · see citing works
ApoE Deficiency Compromises the Blood Brain Barrier Especially After Injury
Methia, N., André, P., Hafezi-Moghadam, A., Economopoulos, M., Thomas, K. L., & Wagner, D. D. (2001) · Molecular Medicine · doi:10.1007/bf03401973 · Cited by 150 · see citing works
Castillo-Carranza, D. L., Guerrero-Muñoz, M. J., Sengupta, U., Hernandez, C., Barrett, A. D. T., Dineley, K., & Kayed, R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4989-14.2015 · Cited by 149 · see citing works
Vardarajan, B. N., Ghani, M., Kahn, A., Sheikh, S., Sato, C., Barral, S., Lee, J. H., Cheng, R., Reitz, C., Lantigua, R., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24466 · Cited by 148 · see citing works
Role of Neuroinflammation in Adult Neurogenesis and Alzheimer Disease: Therapeutic Approaches
Fuster-Matanzo, A., Llorens-Martı́n, M., Hernández, F., & Ávila, J. (2013) · Mediators of Inflammation · doi:10.1155/2013/260925 · Cited by 146 · see citing works
Evidence for Neuroinflammatory and Microglial Changes in the Cerebral Response to Sleep Loss
Wisor, J. P., Schmidt, M. A., & Clegern, W. C. (2011) · Sleep · doi:10.1093/sleep/34.3.261 · Cited by 141 · see citing works
APOE Stabilization by Exercise Prevents Aging Neurovascular Dysfunction and Complement Induction
Soto, I., Graham, L. C., Richter, H. J., Simeone, S. N., Radell, J. E., Grabowska, W., Funkhouser, W. K., Howell, M. C., & Howell, G. R. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002279 · Cited by 140 · see citing works
Cognitive defects are reversible in inducible mice expressing pro-aggregant full-length human Tau
Van der Jeugd, A., Hochgräfe, K., Ahmed, T., Decker, J. M., Sydow, A., Hofmann, A., Wu, D., Messing, L., Balschun, D., D’Hooge, R., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-0987-3 · Cited by 135 · see citing works
Crews, L. A., Rockenstein, E. M., & Masliah, E. (2009) · Brain Structure and Function · doi:10.1007/s00429-009-0232-6 · Cited by 107 · see citing works
The fallacy of behavioral phenotyping without standardisation
van der Staay, F. J., & Steckler, T. (2002) · Genes Brain & Behavior · doi:10.1046/j.1601-1848.2001.00007.x · Cited by 100 · see citing works
Tucker, B. A. (2014) · Journal of Stem Cell Research & Therapy · doi:10.4172/2157-7633.1000161 · Cited by 98 · see citing works
Savonenko, A. V., Melnikova, T., Wang, Y., Ravert, H. T., Gao, Y., Koppel, J. L., Lee, D., Pletniková, O., Cho, E., Sayyida, N., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129618 · Cited by 93 · see citing works
Moriyama, M., Fukuhara, T., Britschgi, M., He, Y., Narasimhan, R., Villeda, S., Molina, H. D., Huber, B. T., Holers, M., & Wyss‐Coray, T. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3617-10.2011 · Cited by 93 · see citing works
Singer, B. H., Gamelli, A., Fuller, C. L., Temme, S. J., Parent, J. M., & Murphy, G. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015425108 · Cited by 88 · see citing works
Núñez, E., Benito, C., Tolón, R. M., Hillard, C. J., Griffin, W. S. T., & Romero, J. (2008) · Neuroscience · doi:10.1016/j.neuroscience.2007.10.029 · Cited by 86 · see citing works
Burns, T. C., Li, M. D., Mehta, S., Awad, A. J., & Morgan, A. A. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.03.021 · Cited by 79 · see citing works
Fowler, S., Chiang, A. C. A., Savjani, R. R., Larson, M., Sherman, M. A., Schuler, D. R., Cirrito, J. R., Lesné, S., & Jankowsky, J. L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0572-14.2014 · Cited by 77 · see citing works
Koppel, J. L., Vingtdeux, V., Marambaud, P., d’Abramo, C., Jimenez, H. T., Stauber, M., Friedman, R., & Davies, P. (2013) · Molecular Medicine · doi:10.2119/molmed.2013.00140.revised · Cited by 74 · see citing works
Benítez, B. A., & Carlos Cruchaga, C. (2013) · PubMed Central · doi:10.1056/nejmc1306509#sa4 · Cited by 69 · see citing works
Rodgers, S. P., Born, H. A., Das, P., & Jankowsky, J. L. (2012) · Molecular Neurodegeneration · doi:10.1186/1750-1326-7-28 · Cited by 67 · see citing works
Jackson, H. M., Soto, I., Graham, L. C., Carter, G. W., & Howell, G. R. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-831 · Cited by 66 · see citing works
Ber, I. L., van Bortel, I., Nicolas, G., Bouya-Ahmed, K., Camuzat, A., Wallon, D., de Septenville, A. L., Latouche, M., Lattante, S., Kabashi, E., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.016 · Cited by 65 · see citing works
Knock-In of Human BACE1 Cleaves Murine APP and Reiterates Alzheimer-like Phenotypes
ska, K. P., Crouch, B., Koss, D. J., Robinson, L., Siebrecht, M., Riedel, G., & Platt, B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0433-14.2014 · Cited by 62 · see citing works
Handoko, M., Grant, M. K. O., Kuskowski, M. A., Zahs, K. R., Wallin, A., Blennow, K., & Ashe, K. H. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.48 · Cited by 61 · see citing works
Gene Expression as Peripheral Biomarkers for Sporadic Alzheimer's Disease
Grünblatt, E., Bartl, J., Zehetmayer, S., Ringel, T. M., Bauer, P., Riederer, P. F., & Jacob, C. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-0996 · Cited by 59 · see citing works
Rigor or mortis: best practices for preclinical research in neuroscience.
Steward, O., & Balice-Gordon, R. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.042 · Cited by 58 · see citing works
β-Amyloid oligomers in aging and Alzheimer’s disease
Zahs, K. R., & Ashe, K. H. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00028 · Cited by 53 · see citing works
Romberg, C., Bussey, T. J., & Saksida, L. M. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2012.02.007 · Cited by 49 · see citing works
Reversible Pathologic and Cognitive Phenotypes in an Inducible Model of Alzheimer-Amyloidosis
Melnikova, T., Fromholt, S., Kim, H.-S., Lee, D., Xu, G. M., Price, A. R., Moore, B. D., Golde, T. E., Felsenstein, K. M., Savonenko, A. V., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4251-12.2013 · Cited by 48 · see citing works
Morihara, T., Hayashi, N., Yokokoji, M., Akatsu, H., Silverman, M. A., Kimura, N., Sato, M., Saito, Y., Suzuki, T., Yanagida, K., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307345111 · Cited by 39 · see citing works
Shi, L., Du, X., Zhou, H., Tao, C.-L., Liu, Y.-T., Meng, F., Wu, G., Xiong, Y., Xia, C., Wang, Y., et al. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000601 · Cited by 38 · see citing works
Teng, E., Chow, N., Hwang, K., Thompson, P. M., Gylys, K. H., Cole, G. M., Jack, C. R., Shaw, L. M. J., Trojanowski, J. Q., Soares, H. D., et al. (2014) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000368982 · Cited by 31 · see citing works
All Is Not Well in the World of Translational Research
Unger, E. F. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.04.067 · Cited by 30 · see citing works
Preclinical data reproducibility for R&D—the challenge for neuroscience
Steckler, T. (2015) · Psychopharmacology · doi:10.1007/s00213-014-3836-3 · Cited by 25 · see citing works
Cerebrospinal fluid biomarkers for pathological processes in Alzheimer's disease
Rosén, C., & Zetterberg, H. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835f6747 · Cited by 22 · see citing works
Enhanced dentate gyrus synaptic plasticity but reduced neurogenesis in a mouse model of amyloidosis
Poirier, R., Veltman, I., Pflimlin, M., Knoflach, F., & Metzger, F. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.06.014 · Cited by 20 · see citing works
Mouse Models for Drug Discovery
Proetzel, G., & Wiles, M. (2016) · Methods in Molecular Biology · doi:10.1007/978-1-4939-3661-8 · Cited by 20 · see citing works
Malthankar‐Phatak, G. H., Lin, Y., Giovannone, N., & Siman, R. G. (2012) · Europe PMC (PubMed Central) · Cited by 18 · see citing works
Future Viable Models of Psychiatry Drug Discovery in Pharma
Rizzo, S. J. S., Edgerton, J. R., Hughes, Z. A., & Brandon, N. J. (2013) · SLAS DISCOVERY · doi:10.1177/1087057113475871 · Cited by 14 · see citing works
Keeping score, strengthening policy and fighting bad actors over access to research tools
Bubela, T. M., & Cook-Deegan, R. M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3131 · Cited by 5 · see citing works
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1 of the 85 references couldn’t be matched to a known paper.
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Sorted by citations
Induced pluripotent stem cell technology: a decade of progress.
Shi, Y., Inoue, H., Wu, J. C., & Yamanaka, S. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.245 · Cited by 1,525 · see citing works
APP mouse models for Alzheimer’s disease preclinical studies.
Sasaguri, H., Nilsson, P., Hashimoto, S., Nagata, K., Saito, T., De Strooper, B., Hardy, J., Vassar, R., Winblad, B., & Saido, T. C. (2017) · The EMBO Journal · doi:10.15252/embj.201797397 · Cited by 793 · see citing works
Animal models of neurodegenerative diseases
Dawson, T. M., Golde, T. E., & Lagier-Tourenne, C. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0236-8 · Cited by 576 · see citing works
The Amyloid Cascade Hypothesis in Alzheimer’s Disease: It’s Time to Change Our Mind
Ricciarelli, R., & Fedele, E. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170116143743 · Cited by 380 · see citing works
Comparative transcriptomics in human and mouse
Breschi, A., Gingeras, T., & Guigó, R. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.19 · Cited by 368 · see citing works
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295 · see citing works
“, 2017); however, the utility of these mice as robust preclinical models for AD has been challenged (Drummond and Wisniewski, 2017; Onos et al., 2016; Sasaguri et al., 2017).”
BackgroundBabiloni, C., Blinowska, K. J., Bonanni, L., Cichocki, A. S., de Haan, W., Percio, C. D., Dubois, B., Escudero, J., Fernández, A., Frisoni, G. B., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.008 · Cited by 282 · see citing works
Akhtar, A., Andleeb, A., Waris, T. S., Bazzar, M., Moradi, A., Awan, N. R., & Yar, M. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.11.021 · Cited by 244 · see citing works
Neuner, S. M., Heuer, S. E., Huentelman, M. J., O’Connell, K. M. S., & Kaczorowski, C. C. (2019) · Neuron · doi:10.1016/j.neuron.2018.11.040 · Cited by 202 · see citing works
Miedel, C. J., Patton, J. M., Miedel, A. N., Miedel, E. S., & Levenson, J. M. (2017) · Journal of Visualized Experiments · doi:10.3791/55523 · Cited by 192 · see citing works
Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease
Beckmann, N. D., Lin, W.-J., Wang, M., Cohain, A. T., Charney, A. W., Wang, P., Ma, W., Wang, Y.-C., Jiang, C., Audrain, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17405-z · Cited by 172 · see citing works
Ortiz‐Virumbrales, M., Moreno, C. L., Kruglikov, I., Marazuela, P., Sproul, A. A., Jacob, S., Zimmer, M., Paull, D. J., Zhang, B., Schadt, E. E., et al. (2017) · Acta Neuropathologica Communications · doi:10.1186/s40478-017-0475-z · Cited by 176 · see citing works
Castillo, E., Leon, J., Mazzei, G., Abolhassani, N., Haruyama, N., Saito, T., Saido, T., Hokama, M., Iwaki, T., Ohara, T., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17999-3 · Cited by 158 · see citing works
Preclinical Models of Alzheimer's Disease: Relevance and Translational Validity
Mullane, K., & Williams, M. J. (2019) · Current Protocols in Pharmacology · doi:10.1002/cpph.57 · Cited by 126 · see citing works
Genetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126 · see citing works
“However, traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials [286, 287].”
BackgroundLeveraging preclinical models for the development of Alzheimer disease therapeutics
Scearce-Levie, K. A., Sanchez, P. E., & Lewcock, J. W. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0065-9 · Cited by 118 · see citing works
Alzheimer’s Disease: Biomarkers in the Genome, Blood, and Cerebrospinal Fluid
Huynh, R. A., & Mohan, C. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00102 · Cited by 109 · see citing works
Tse, K., & Herrup, K. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14079 · Cited by 104 · see citing works
Model organism development and evaluation for late‐onset Alzheimer's disease: MODEL‐AD
Oblak, A. L., Forner, S., Territo, P. R., Sasner, M., Carter, G. W., Howell, G. R., Rizzo, S. J. S., Logsdon, B. A., Mangravite, L. M., Mortazavi, A., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12110 · Cited by 102 · see citing works
Mullane, K., & Williams, M. (2018) · Biochemical Pharmacology · doi:10.1016/j.bcp.2018.09.026 · Cited by 98 · see citing works
Zhu, S., Wang, J., Zhang, Y., He, J., Kong, J., Wang, J., & Li, X. (2017) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12677 · Cited by 93 · see citing works
Thomas, A. L., Lehn, M. A., Janssen, E. M., Hildeman, D. A., & Chougnet, C. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-21920-y · Cited by 94 · see citing works
Induced pluripotent stem cells for neural drug discovery
Farkhondeh, A., Li, R., Gorshkov, K., Chen, K. G., Might, M., Rodems, S. M., Lo, D. C., & Zheng, W. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.01.007 · Cited by 90 · see citing works
Kasza, Á., Penke, B., Frank, Z., Bozsó, Z., Szegedi, V., Hunya, Á. G., Németh, K., Kozma, G., & Fülöp, L. (2017) · Molecules · doi:10.3390/molecules22112007 · Cited by 75 · see citing works
Wu, Y., Chiu, F., Yeh, C.-S., & Kuo, H. (2019) · Open Biology · doi:10.1098/rsob.180177 · Cited by 75 · see citing works
Non human primate models for Alzheimer’s disease-related research and drug discovery
Dam, D. V., & Deyn, P. P. D. (2016) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2017.1271320 · Cited by 68 · see citing works
Tseng, Y.-L., Lu, P.-C., Lee, C.-C., He, R., Huang, Y., Tseng, Y., Cheng, T.-J. R., Huang, J. J., & Fang, J. (2023) · Journal of Biomedical Science · doi:10.1186/s12929-023-00921-7 · Cited by 67 · see citing works
Rizzo, S. J. S., & Crawley, J. N. (2017) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-022516-022754 · Cited by 66 · see citing works
Sex Differences in Healthspan Predict Lifespan in the 3xTg-AD Mouse Model of Alzheimer’s Disease
Kane, A. E., Shin, S., Wong, A. A., Fertan, E., Faustova, N. S., Howlett, S. E., & Brown, R. E. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00172 · Cited by 65 · see citing works
Nonhuman Primate Models of Neurodegenerative Disorders
Emborg, M. E. (2017) · ILAR Journal · doi:10.1093/ilar/ilx021 · Cited by 64 · see citing works
Chiquita, S., Ribeiro, M., Castelhano, J., Oliveira, F., Sereno, J., Batista, M., Abrunhosa, A., Rodrigues-Neves, A. C., Carecho, R., Baptista, F., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz045 · Cited by 63 · see citing works
A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease
the MODEL-AD Consortium, Preuss, C., Pandey, R., Piazza, E., Fine, A., Uyar, A., Perumal, T., Garceau, D., Kotredes, K. P., Williams, H., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00412-5 · Cited by 63 · see citing works
Neutrophils as a potential therapeutic target in Alzheimer’s disease
Aries, M. L., & Hensley‐McBain, T. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1123149 · Cited by 61 · see citing works
Review: Neuropathology and behavioural features of transgenic murine models of Alzheimer's disease
Ameen‐Ali, K. E., Wharton, S. B., Simpson, J. E., Heath, P. R., Sharp, P. S., & Berwick, J. (2017) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12440 · Cited by 58 · see citing works
Age-related decline in cognitive flexibility in female chimpanzees
Agnès Lacreuse, A., Parr, L. A., Chennareddi, L. S., & Herndon, J. G. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.018 · Cited by 54 · see citing works
Genome-editing applications of CRISPR–Cas9 to promote in vitro studies of Alzheimer’s disease
Giau, V. V., Lee, H., Shim, K. H., Bagyinszky, E., & An, S. S. A. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s155145 · Cited by 51 · see citing works
Prospects for strain-specific immunotherapy in Alzheimer’s disease and tauopathies
Bittar, A., Sengupta, U., & Kayed, R. (2018) · npj Vaccines · doi:10.1038/s41541-018-0046-8 · Cited by 50 · see citing works
Early Cognitive and Behavioral Deficits in Mouse Models for Tauopathy and Alzheimer’s Disease
Samaey, C., Schreurs, A., Stroobants, S., & Balschun, D. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00335 · Cited by 50 · see citing works
iPSC for modeling neurodegenerative disorders
Valadez-Barba, V., Cota-Coronado, A., Hernandez-Perez, O. R., Lugo-Fabres, P. H., Padilla‐Camberos, E., Díaz, N. F., & Diaz-Martinez, N. E. (2020) · Regenerative Therapy · doi:10.1016/j.reth.2020.11.006 · Cited by 48 · see citing works
Conserved regulators of cognitive aging: From worms to humans
Arey, R. N., & Murphy, C. T. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.06.035 · Cited by 40 · see citing works
Cyclin dependent kinase 5: A novel avenue for Alzheimer’s disease
Bhounsule, A. S., Bhatt, L. K., Prabhavalkar, K. S., & Oza, M. J. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.05.006 · Cited by 43 · see citing works
Motor deficits in 16-month-old male and female 3xTg-AD mice
Montbrun, T. G.-D., Fertan, E., Stover, K. R., & Brown, R. E. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.09.006 · Cited by 42 · see citing works
Goodarzi, P., Payab, M., Alavi-Moghadam, S., Larijani, B. A., Rahim, F., Bana, N., Sarvari, M., Adibi, H., Heravani, N. F., Hadavandkhani, M., et al. (2019) · Cell and Tissue Banking · doi:10.1007/s10561-019-09773-8 · Cited by 38 · see citing works
Humanized Mice for Infectious and Neurodegenerative disorders
Dash, P. K., Gorantla, S., Poluektova, L. Y., Hasan, M., Waight, E. M., Zhang, C., Marković, M., Edagwa, B., Machhi, J., Olson, K. E., et al. (2021) · Retrovirology · doi:10.1186/s12977-021-00557-1 · Cited by 36 · see citing works
McKee, C., Hoffos, M., Vecchiarelli, H. A., & Tremblay, M. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1125982 · Cited by 38 · see citing works
Beggiato, S., Tomasini, M. C., Cassano, T., & Ferraro, L. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020428 · Cited by 37 · see citing works
Preuss, T. M. (2019) · Brain Behavior and Evolution · doi:10.1159/000500500 · Cited by 35 · see citing works
Examining the homeostatic distribution of metals and Zn isotopes in Göttingen minipigs
Mahan, B., Moynier, F., Jørgensen, A. L., Habekost, M., & Siebert, J. (2018) · Metallomics · doi:10.1039/c8mt00179k · Cited by 35 · see citing works
Rizzo, S. J. S., Homanics, G. E., Schaeffer, D. J., Schaeffer, L. K. H., Park, J. E., Oluoch, J., Zhang, T., Haber, A., Seyfried, N. T., Paten, B., et al. (2023) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12417 · Cited by 35 · see citing works
Martinez, B., & Peplow, P. V. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.251192 · Cited by 32 · see citing works
Mullane, K., & Williams, M. (2018) · Biochemical Pharmacology · doi:10.1016/j.bcp.2018.09.027 · Cited by 32 · see citing works
Kim, S., Nam, Y., Jeong, Y.-O., Park, H. H., Lee, S.-K., Shin, S. J., Jung, H., Kim, B., Hong, S. B., Park, Y., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20163992 · Cited by 29 · see citing works
Neuner, S. M., Heuer, S. E., Zhang, J., Philip, V. M., & Kaczorowski, C. C. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00035 · Cited by 31 · see citing works
Alzheimer’s disease: a tale of two diseases?
Nardini, E., Hogan, R., Flamier, A., & Bernier, G. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.308070 · Cited by 30 · see citing works
Gür, E., Fertan, E., Kosel, F., Wong, A. A., Balcı, F., & Brown, R. E. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.11.047 · Cited by 29 · see citing works
Neuromodulation in the Treatment of Alzheimer’s Disease: Current and Emerging Approaches
Pople, C. B., Meng, Y., Li, D. Z., Bigioni, L., Davidson, B., Vecchio, L. M., Hamani, C., Rabin, J. S., & Lipsman, N. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200913 · Cited by 29 · see citing works
Meox2 haploinsufficiency increases neuronal cell loss in a mouse model of Alzheimer's disease
Soto, I., Grabowska, W. A., Onos, K. D., Graham, L. C., Jackson, H. M., Simeone, S. N., & Howell, G. R. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.025 · Cited by 29 · see citing works
Coronas‐Samano, G., Baker, K. L., Tan, W. J. T., Ivanova, A. V., & Verhagen, J. V. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00268 · Cited by 29 · see citing works
Heuer, S. E., Neuner, S. M., Hadad, N., O’Connell, K. M. S., Williams, R. W., Philip, V. M., Gaiteri, C., & Kaczorowski, C. C. (2020) · Learning & Memory · doi:10.1101/lm.051839.120 · Cited by 26 · see citing works
Liang, Y., Sun, X., Duan, C., Tang, S., & Chen, J. (2023) · Stem Cell Research & Therapy · doi:10.1186/s13287-023-03564-5 · Cited by 28 · see citing works
Animal and Cellular Models of Alzheimer’s Disease: Progress, Promise, and Future Approaches
Trujillo‐Estrada, L., Sánchez‐Mejías, E., Sanchez-Varo, R. M., García‐León, J. A., Nuñez‐Diaz, C., Dávila, J. C., Vitórica, J., LaFerla, F. M., Moreno‐González, I., Gutiérrez, A., et al. (2021) · The Neuroscientist · doi:10.1177/10738584211001753 · Cited by 28 · see citing works
Herzer, S., Hagan, C., von Gerichten, J., Dieterle, V., Munteanu, B., Sandhoff, R., Hopf, C., & Nordström, V. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00206 · Cited by 27 · see citing works
Staging Alzheimer’s Disease in the Brain and Retina of B6.APP/PS1 Mice by Transcriptional Profiling
Chintapaludi, S. R., Uyar, A., Jackson, H. M., Acklin, C. J., Wang, X., Sasner, M., Carter, G. W., & Howell, G. R. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190793 · Cited by 25 · see citing works
Senescence in aging and disorders of the central nervous system
Swenson, B. L., Meyer, C. F., Bussian, T. J., & Baker, D. J. (2019) · Translational Medicine of Aging · doi:10.1016/j.tma.2019.01.002 · Cited by 24 · see citing works
O’Connell, K. M. S., Ouellette, A. R., Neuner, S. M., Dunn, A. R., & Kaczorowski, C. C. (2019) · Genes Brain & Behavior · doi:10.1111/gbb.12603 · Cited by 23 · see citing works
Hayashi-Park, E., Ozment, B. N., Griffith, C. M., Zhang, H., Patrylo, P. R., & Rose, G. M. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.020 · Cited by 25 · see citing works
Rao, C. V., Farooqui, M., Zhang, Y., Asch, A. S., & Yamada, H. Y. (2018) · Aging Cell · doi:10.1111/acel.12797 · Cited by 23 · see citing works
Miedel, C. J., Patton, J. M., Miedel, A. N., Miedel, E. S., & Levenson, J. M. (2017) · Journal of Visualized Experiments · doi:10.3791/55523-v · Cited by 23 · see citing works
Weishaupt, N., Liu, Q., Shin, S., Singh, R., Ağca, Y., Agca, C., Hachinski, V., & Whitehead, S. N. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1273-7 · Cited by 22 · see citing works
Fertan, E., Wong, A. A., Vienneau, N. A., & Brown, R. E. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.111937 · Cited by 22 · see citing works
Beyond Transgenic Mice: Emerging Models and Translational Strategies in Alzheimer’s Disease
Lopes, P. A., & Guil‐Guerrero, J. L. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26125541 · Cited by 23 · see citing works
Inborn errors of metabolism: Lessons from iPSC models
Escribá, R., Ferrer‐Lorente, R., & Raya, Á. (2021) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-021-09671-z · Cited by 21 · see citing works
Therapeutic Attributes of Endocannabinoid System against Neuro-Inflammatory Autoimmune Disorders
Ahmed, I., Rehman, S. U., Shahmohamadnejad, S., Zia, M. A., Ahmad, M. M., Saeed, M. M., Akram, Z., Iqbal, H. M. N., & Liu, Q. (2021) · Molecules · doi:10.3390/molecules26113389 · Cited by 20 · see citing works
Genomics: New Light on Alzheimer’s Disease Research
Jung, Y. J., Kim, Y. H., Bhalla, M., Lee, S. B., & Seo, J. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123771 · Cited by 19 · see citing works
Murai, T., Bailey, L. S., Schultz, L., Mongeau, L., DeSana, A., Silva, A. C., Roberts, A., & Rizzo, S. J. S. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01144-x · Cited by 19 · see citing works
O’Leary, T. P., Hussin, A. T., Gunn, R. K., & Brown, R. E. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2018.05.021 · Cited by 18 · see citing works
Minding the Gap: Exploring Neuroinflammatory and Microglial Sex Differences in Alzheimer’s Disease
Reed-Geaghan, E. G., & Keller-Norrell, P. R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417377 · Cited by 19 · see citing works
Genetic diversity promotes resilience in a mouse model of Alzheimer's disease
Soni, N., Hohsfield, L. A., Tran, K. M., Kawauchi, S., Walker, A., Javonillo, D. I., Phan, J., Matheos, D. P., Cunha, C. D., Uyar, A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13753 · Cited by 17 · see citing works
Onos, K. D., Lin, P. B., Pandey, R. S., Persohn, S. A., Burton, C. P., Miner, E. W., Eldridge, K., Kanyinda, J. N., Foley, K. E., Carter, G. W., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13842 · Cited by 17 · see citing works
Accelerating Alzheimer’s disease drug discovery and development: what’s the way forward?
Imbimbo, B. P., Ippati, S., Watling, M. I. L., & Balducci, C. (2021) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2021.1887132 · Cited by 17 · see citing works
The neurovascular unit in leukodystrophies: towards solving the puzzle
Zarekiani, P., Pinto, H. N., Hol, E. M., Bugiani, M., & de Vries, H. E. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00316-0 · Cited by 17 · see citing works
Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models
Gurdon, B., & Kaczorowski, C. C. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105558 · Cited by 16 · see citing works
Nucleic acid liquid biopsies in Alzheimer's disease: current state, challenges, and opportunities
Soelter, T. M., Whitlock, J. H., Williams, A. S., Hardigan, A. A., & Lasseigne, B. N. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09239 · Cited by 15 · see citing works
Detecting the effect of genetic diversity on brain composition in an Alzheimer’s disease mouse model
Gurdon, B., Yates, S. C., Csucs, G., Groeneboom, N. E., Hadad, N., Telpoukhovskaia, M., Ouellette, A., Ouellette, T., O’Connell, K. M. S., Singh, S., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06242-1 · Cited by 15 · see citing works
Organotypic Neurovascular Models: Past Results and Future Directions
Balikov, D. A., Neal, E. H., & Lippmann, E. S. (2019) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2019.09.010 · Cited by 15 · see citing works
Cope, Z. A., Murai, T., & Rizzo, S. J. S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.805063 · Cited by 15 · see citing works
Rodent Models for Alzheimer’s Disease in Drug Discovery
Barrett, J. E., & McGonigle, P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802810-0.00012-x · Cited by 15 · see citing works
In vivo validation of late‐onset Alzheimer's disease genetic risk factors
Sasner, M., Preuß, C., Pandey, R. S., Uyar, A., Garceau, D. T., Kotredes, K. P., Williams, H. M., Oblak, A. L., Lin, P. B., Perkins, B. M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13840 · Cited by 11 · see citing works
Pavešković, M., De-Paula, R. B., Ojelade, S. A., Tantry, E. K., Kochukov, M. Y., Bao, S., Veeraragavan, S., Garza, A. R., Srivastava, S., Song, S., et al. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae115 · Cited by 11 · see citing works
Rare and undiagnosed diseases: From disease-causing gene identification to mechanism elucidation
Wang, G., Xu, Y., Wang, Q., Chai, Y., Sun, X., Yang, F., Zhang, J., Wu, M., Liao, X., Yu, X., et al. (2022) · Fundamental Research · doi:10.1016/j.fmre.2022.09.002 · Cited by 11 · see citing works
Systems genetics identifies modifiers of Alzheimer’s disease risk and resiliencePreprint
Neuner, S. M., Hohman, T. J., Richholt, R., Bennett, D. A., Schneider, J. A., Jager, P. L. D., Huentelman, M. J., O’Connell, K. M. S., & Kaczorowski, C. C. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/225714 · Cited by 11 · see citing works
Perera, C., Cruz, R., Shemesh, N., Carvalho, T., Thomas, D. L., Wells, J. A., & Ianuș, A. (2024) · Fluids and Barriers of the CNS · doi:10.1186/s12987-024-00597-7 · Cited by 10 · see citing works
Pathological Human Astroglia in Alzheimer's Disease: Opening New Horizons with Stem Cell Technology
Mohamet, L., Jones, V. C., Dayanithi, G., & Verkhratsky, A. (2018) · Future Neurology · doi:10.2217/fnl-2017-0029 · Cited by 10 · see citing works
Genetic characterization of early renal changes in a novel mouse model of diabetic kidney disease
Balmer, L. A., Whiting, R. J., Rudnicka, C., Gallo, L. A., Jandeleit-Dahm, K. A. M., Chow, Y., Chow, Z., Richardson, K. L., Forbes, J. M., & Morahan, G. (2019) · Kidney International · doi:10.1016/j.kint.2019.04.031 · Cited by 10 · see citing works
Detrez, J. R., Ben-Nejma, I. R. H., Kolen, K. V., Dam, D. V., Deyn, P. P. D., Fransén, E., Verhoye, M., Timmermans, J., Nuydens, R., der Linden, A. V., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105011 · Cited by 10 · see citing works
Haploinsufficiency and Alzheimer’s Disease: The Possible Pathogenic and Protective Genetic Factors
Bagyinszky, E., & An, S. S. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252211959 · Cited by 10 · see citing works
Adak, S., Singh, S., Jain, R., Tiwari, A., Singh, B., Kumar, S., Dadhwal, A., Chakroborty, A., Sharma, A. K., Singh, R. P., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1646551 · Cited by 9 · see citing works
A multi-target therapeutic framework for Alzheimer’s disease: an integrative mechanistic review
Bajinka, O., Jallow, L., & Ozdemir, G. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.01.010 · Cited by 10 · see citing works
The 3xTg-AD Mouse Model: A Comprehensive Tool for Understanding Alzheimer’s Disease
Pattanayak, A., & Firdous, S. M. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01655-w · Cited by 11 · see citing works
Longitudinal biometal accumulation and Ca isotope composition of the Göttingen minipig brain
Mahan, B., Antonelli, M. A., Bürckel, P., Turner, S., Chung, R. S., Habekost, M., Jørgensen, A. L., & Moynier, F. (2020) · Metallomics · doi:10.1039/d0mt00134a · Cited by 8 · see citing works
- Authors
- Onos, K. D., Sukoff Rizzo, S. J., Howell, G. R., & Sasner, M.
- Affiliations
- Jackson Laboratory (US)
- Tufts University (US)
- Corresponding author
- Howell, Gareth R.
- Sasner, Michael
- Venue
- Brain Research Bulletin
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 122
- Pages
- 1-11
- ISSN
- 0361-9230 (ISSN-L)
- PMC
- PMC4843786
- OpenAlex
- W2207047877
- Cited by
- 156
- References
- 85
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 14 · 2023: 10 · 2022: 11 · 2021: 11 · 2020: 23 · 2019: 21 · 2018: 20 · 2017: 20 · 2016: 10
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain Research Bulletin (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (RF1AG051496)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007065)
- Topics
- Health Sciences › Medicine › Physiology › 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
- Alzheimer's disease, genetic mouse models, translational research, next-generation sequencing, genome editing, biomarkers, behavioral tests, preclinical models
- MeSH terms
- Alzheimer Disease, Animals, Disease Models, Animal, Genetic Testing, Biomarkers, Mice
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