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Overview and Findings from the Religious Orders Study

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A. Bennett, David, A. Schneider, Julie, Arvanitakis, Zoe, S. Wilson, Robert·2012·Current Alzheimer Research

DOI 10.2174/156720512801322573

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Abstract

UNLABELLED: The Religious Orders Study is a longitudinal clinical-pathologic cohort study of aging and Alzheimer's disease (AD). In this manuscript, we summarize the study methods including the study design and describe the clinical evaluation, assessment of risk factors, collection of ante-mortem biological specimens, brain autopsy and collection of selected postmortem data. THE RESULTS: (1) review the relation of neuropathologic indices to clinical diagnoses and cognition proximate to death; (2) examine the relation of risk factors to clinical outcomes; (3) examine the relation of risk factors to measures of neuropathology; and (4) summarize additional study findings. We then discuss and contextualize the study findings.

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Iturria-Medina, Y., Adewale, Q., Khan, A. F., Ducharme, S., Rosa-Neto, P., O’Donnell, K., Petyuk, V. A., Gauthier, S., De Jager, P. L., Breitner, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo6764 · Cited by 100
Genetic control of the human brain proteome
Robins, C., Wingo, A. P., Fan, W., Duong, D. M., Meigs, J., Gerasimov, E. S., Dammer, E. B., Cutler, D. J., Jager, P. L. D., Bennett, D. A., et al. (2019) · doi:10.1101/816652 · Cited by 104
MEF2 is a Key Regulator of Cognitive Potential and Confers Resilience to Neurodegeneration
Barker, S. J., Raju, R. M., Milman, N. E. P., Wang, J., Davila-Velderrain, J., Gunter-Rahman, F., Parro, C. C., Bozzelli, P. L., Abdurrob, F., Abdelaal, K., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abd7695 · Cited by 96
Self-citation
A single nuclear transcriptomic characterisation of mechanisms responsible for impaired angiogenesis and blood-brain barrier function in Alzheimer’s disease
Tsartsalis, S., Sleven, H., Fancy, N., Wessely, F., Smith, A. M., Willumsen, N., Cheung, T. K. D., Rokicki, M. J., Chau, V., Ifie, E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46630-z · Cited by 95
Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease
Patrick, E., Rajagopal, S., Wong, H.-K. A., McCabe, C., Xu, J., Tang, A., Imboywa, S. H., Schneider, J. A., Pochet, N., Krichevsky, A. M., et al. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0191-y · Cited by 87
Self-citation
Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden
Haure-Mirande, J.-V., Wang, M., Audrain, M., Fanutza, T., Kim, S. H., Heja, S., Readhead, B., Dudley, J. T., Blitzer, R. D., Schadt, E. E., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0255-6 · Cited by 84
Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model
Wang, H., Li, Y., Ryder, J. W., Hole, J. T., Ebert, P. J., Airey, D. C., Qian, H.-R., Logsdon, B., Fisher, A., Ahmed, Z., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0296-y · Cited by 83
The Transcriptional Landscape of Microglial Genes in Aging and Neurodegenerative Disease
Bonham, L. W., Sirkis, D. W., & Yokoyama, J. S. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01170 · Cited by 83
Motoric cognitive risk syndrome and predictors of transition to dementia: a multicenter study
Verghese, J., Wang, C., Bennett, D. A., Lipton, R. B., Katz, M. J., & Ayers, E. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.03.011 · Cited by 79
Self-citation
INPP5D regulates inflammasome activation in human microglia
Chou, V., Pearse, R. V., Aylward, A. J., Ashour, N., Taga, M., Terzioglu, G., Fujita, M., Fancher, S. B., Sigalov, A., Benoit, C. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42819-w · Cited by 79
Self-citation
Disentangling the effects of age and APOE on neuropathology and late life cognitive decline
Yu, L., Boyle, P. A., Leurgans, S., Schneider, J. A., & Bennett, D. A. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.10.074 · Cited by 71
Self-citation
Relation of genomic variants for Alzheimer disease dementia to common neuropathologies
Farfel, J. M., Yu, L., Buchman, A. S., Schneider, J. A., De Jager, P. L., & Bennett, D. A. (2016) · Neurology · doi:10.1212/wnl.0000000000002909 · Cited by 64
The human brain NGF metabolic pathway is impaired in the pre-clinical and clinical continuum of Alzheimers disease
Pentz, R., Iulita, M. F., Ducatenzeiler, A., Bennett, D. A., & Cuello, A. C. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0797-2 · Cited by 68
Selected Findings from the Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Wilson, R. S., Arvanitakis, Z., Boyle, P. A., de Toledo-Morrell, L., & Schneider, J. A. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-129007 · Cited by 69
Self-citation
A candidate regulatory variant at the TREM gene cluster associates with decreased Alzheimer's disease risk and increased TREML1 and TREM2 brain gene expression
Carrasquillo, M. M., Allen, M., Burgess, J. D., Wang, X., Strickland, S. L., Aryal, S., Siuda, J., Kachadoorian, M. L., Medway, C., Younkin, C. S., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.10.005 · Cited by 58
“The ROS/MAP RNAseq data set comprised RNAseq data from 288 AD and 206 non-AD samples that are part of the ROS/MAP cohort (Table 1) previously described [18,19].”
Method
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease
Eteleeb, A. M., Novotny, B. C., Tarraga, C. S., Sohn, C., Dhungel, E., Brase, L., Nallapu, A., Buss, J., Farias, F., Bergmann, K., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002607 · Cited by 64
APOE ε2ε4 genotype, incident AD and MCI, cognitive decline, and AD pathology in older adults
Oveisgharan, S., Buchman, A. S., Yu, L., Farfel, J., Hachinski, V., Gaiteri, C., De Jager, P. L., Schneider, J. A., & Bennett, D. A. (2018) · Neurology · doi:10.1212/wnl.0000000000005677 · Cited by 62
Self-citation
Selective lowering of synapsins induced by oligomeric α-synuclein exacerbates memory deficits
Larson, M. E., Greimel, S. J., Amar, F., LaCroix, M., Boyle, G., Sherman, M. A., Schley, H., Miel, C., Schneider, J. A., Kayed, R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704698114 · Cited by 61
Late-life depression is not associated with dementia-related pathology.
Wilson, R. S., Boyle, P. A., Capuano, A. W., Shah, R. C., Hoganson, G. M., Nag, S., & Bennett, D. A. (2016) · Neuropsychology · doi:10.1037/neu0000223 · Cited by 60
Self-citation
Alzheimer's loci: epigenetic associations and interaction with genetic factors
Chibnik, L. B., Yu, L., Eaton, M. L., Srivastava, G., Schneider, J. A., Kellis, M., Bennett, D. A., & De Jager, P. L. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.201 · Cited by 60
PLD3 is a neuronal lysosomal phospholipase D associated with β-amyloid plaques and cognitive function in Alzheimer’s disease
Nackenoff, A. G., Hohman, T. J., Neuner, S. M., Akers, C. S., Weitzel, N. C., Shostak, A., Ferguson, S. M., Mobley, B., Bennett, D. A., Schneider, J. A., et al. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009406 · Cited by 59
A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans
McAninch, E. A., Rajan, K. B., Evans, D. A., Jo, S., Chaker, L., Peeters, R. P., Bennett, D. A., Mash, D. C., & Bianco, A. C. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01196 · Cited by 59
Alzheimer’s disease large-scale gene expression portrait identifies exercise as the top theoretical treatment
Hill, M. A., & Gammie, S. C. (2022) · Scientific Reports · doi:10.1038/s41598-022-22179-z · Cited by 56
Impact of increased APP gene dose in Down syndrome and the Dp16 mouse model
Sawa, M., Overk, C., Becker, A., Derse, D., Albay, R., Weldy, K., Salehi, A., Beach, T. G., Doran, E., Head, E., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12463 · Cited by 54
Genome‐wide association study of rate of cognitive decline in Alzheimer's disease patients identifies novel genes and pathways
Sherva, R., Gross, A., Mukherjee, S., Koesterer, R., Amouyel, P., Bellenguez, C., Dufouil, C., Bennett, D. A., Chibnik, L., Cruchaga, C., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12106 · Cited by 54
Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease
Green, G. S., Yang, H., Fujita, M., Taga, M., Regev, A., Menon, V., Bennett, D. A. A., Habib, N., & De Jager, P. L. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.083212 · Cited by 51
Self-citation
Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease
Green, G. S., Fujita, M., Yang, H.-S., Taga, M., McCabe, C., Cain, A., White, C. C., Schmidtner, A. K., Zeng, L., Wang, Y., et al. (2023) · doi:10.1101/2023.03.07.531493 · Cited by 51
Self-citation
Genetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology
Yang, H.-S., White, C. C., Klein, H.-U., Yu, L., Gaiteri, C., Ma, Y., Felsky, D., Mostafavi, S., Petyuk, V. A., Sperling, R. A., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.010 · Cited by 47
Self-citation
Multi-cellular communities are perturbed in the aging human brain and Alzheimer’s disease
Cain, A., Taga, M., McCabe, C., Green, G., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., et al. (2020) · doi:10.1101/2020.12.22.424084 · Cited by 143
A cortical immune network map identifies a subset of human microglia involved in Tau pathology
Patrick, E., Olah, M., Taga, M., Klein, H.-U., Xu, J., White, C. C., Felsky, D., Gaiteri, C., Chibnik, L. B., Mostafavi, S., et al. (2017) · doi:10.1101/234351 · Cited by 39
Self-citation
Integrated biology approach reveals molecular and pathological interactions among Alzheimer’s Aβ42, Tau, TREM2, and TYROBP in Drosophila models
Sekiya, M., Wang, M., Fujisaki, N., Sakakibara, Y., Quan, X., Ehrlich, M. E., De Jager, P. L., Bennett, D. A., Schadt, E. E., Gandy, S., et al. (2018) · Genome Medicine · doi:10.1186/s13073-018-0530-9 · Cited by 38
Self-citation
miR155 regulation of behavior, neuropathology, and cortical transcriptomics in Alzheimer's disease
Readhead, B., Haure-Mirande, J.-V., Mastroeni, D., Audrain, M., Fanutza, T., Kim, S. H., Blitzer, R. D., Gandy, S., Dudley, J. T., & Ehrlich, M. E. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02185-z · Cited by 37
A third of community-dwelling elderly with intermediate and high level of Alzheimer’s neuropathologic changes are not demented: A meta-analysis
Azarpazhooh, M. R., Avan, A., Cipriano, L. E., Munoz, D. G., Erfanian, M., Amiri, A., Stranges, S., & Hachinski, V. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2019.101002 · Cited by 32
A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer's pathology
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Self-citation
A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies
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APOE genotypes as a risk factor for age‐dependent accumulation of cerebrovascular disease in older adults
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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
Brand, Y. E., Kluge, F., Palmerini, L., Paraschiv-Ionescu, A., Becker, C., Cereatti, A., Maetzler, W., Sharrack, B., Vereijken, B., Yarnall, A. J., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-71491-3 · Cited by 19
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer’s disease
Xie, L., He, B., Varathan, P., Nho, K., Risacher, S. L., Saykin, A. J., Salama, P., & Yan, J. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab121 · Cited by 16

Authors: A. Bennett, D., A. Schneider, J., Arvanitakis, Z., & S. Wilson, R.
Venue: Current Alzheimer Research
Publisher: Bentham Science Publishers Ltd.
Published: 2012-06-01
Volume: 9
Issue: 6
Pages: 628-645
ISSN: 1567-2050 (ISSN-L)
DOI: 10.2174/156720512801322573
OpenAlex: W2119519240
Cited by: 672
References: 45
FWCI: 18.65
Type: journal article
Language: en
Open access: green

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Overview and Findings from the Religious Orders Study

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