Center for Translational and Computational Neuroimmunology

Displaying 101 - 136 of 136CSV
Heath, L., Earls, J. C., Magis, A. T., Kornilov, S. A., Lovejoy, J. C., Funk, C. C., Rappaport, N., Logsdon, B. A., Mangravite, L. M., Kunkle, B. W., Martin, E. R., Naj, A. C., Ertekin-Taner, N., Golde, T. E., Hood, L., Price, N. D., Abner, E., Adams, P. M., … Zhao, Y. (2022). Manifestations of Alzheimer’s disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-09825-2
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Wingo, A. P., Wang, M., Liu, J., Breen, M. S., Yang, H.-S., Tang, B., Schneider, J. A., Seyfried, N. T., Lah, J. J., Levey, A. I., Bennett, D. A., Jin, P., De Jager, P. L., & Wingo, T. S. (2022). Brain microRNAs are associated with variation in cognitive trajectory in advanced age. Translational Psychiatry, 12(1). https://doi.org/10.1038/s41398-022-01806-3
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Ostkamp, P., Deffner, M., Schulte-Mecklenbeck, A., Wünsch, C., Lu, I.-N., Wu, G. F., Goelz, S., De Jager, P. L., Kuhlmann, T., Gross, C. C., Klotz, L., Meyer zu Hörste, G., Wiendl, H., Schneider-Hohendorf, T., & Schwab, N. (2022). A single-cell analysis framework allows for characterization of CSF leukocytes and their tissue of origin in multiple sclerosis. Science Translational Medicine, 14(673). https://doi.org/10.1126/scitranslmed.adc9778
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Luquez, T., Gaur, P., Kosater, I. M., Lam, M., Lee, D. I., Mares, J., Paryani, F., Yadav, A., & Menon, V. (2022). Cell type-specific changes identified by single-cell transcriptomics in Alzheimer’s disease. Genome Medicine, 14(1). https://doi.org/10.1186/s13073-022-01136-5
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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., & Bennett, D. A. (2022). Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity. Science Advances, 8(46). https://doi.org/10.1126/sciadv.abo6764
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Yu, L., Hsieh, Y.-C., Pearse, R. V., Wang, Y., Petyuk, V. A., Schneider, J. A., Buchman, A. S., Seyfried, N. T., De Jager, P. L., Young-Pearse, T. L., & Bennett, D. A. (2022). Association of AK4 Protein From Stem Cell–Derived Neurons With Cognitive Reserve. Neurology, 99(20). https://doi.org/10.1212/wnl.0000000000201120
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Paolicelli, R. C., Sierra, A., Stevens, B., Tremblay, M.-E., Aguzzi, A., Ajami, B., Amit, I., Audinat, E., Bechmann, I., Bennett, M., Bennett, F., Bessis, A., Biber, K., Bilbo, S., Blurton-Jones, M., Boddeke, E., Brites, D., Brône, B., Brown, G. C., … Wyss-Coray, T. (2022). Microglia states and nomenclature: A field at its crossroads. Neuron, 110(21), 3458–3483. https://doi.org/10.1016/j.neuron.2022.10.020
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Lahti, J., Tuominen, S., Yang, Q., Pergola, G., Ahmad, S., Amin, N., Armstrong, N. J., Beiser, A., Bey, K., Bis, J. C., Boerwinkle, E., Bressler, J., Campbell, A., Campbell, H., Chen, Q., Corley, J., Cox, S. R., Davies, G., De Jager, P. L., … Räikkönen, K. (2022). Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry, 27(11), 4419–4431. https://doi.org/10.1038/s41380-022-01710-8
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Mishra, A., Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D. C., Kamanu, F. K., Koido, M., Le Grand, Q., Shi, M., He, Y., Georgakis, M. K., Caro, I., Krebs, K., Liaw, Y.-C., Vaura, F. C., Lin, K., Winsvold, B. S., Srinivasasainagendra, V., … Debette, S. (2022). Stroke genetics informs drug discovery and risk prediction across ancestries. Nature, 611(7934), 115–123. https://doi.org/10.1038/s41586-022-05165-3
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Chen, J., Wang, L., De Jager, P. L., Bennett, D. A., Buchman, A. S., & Yang, J. (2022). A scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications for studying Alzheimer disease. Human Genetics and Genomics Advances, 3(4), 100143. https://doi.org/10.1016/j.xhgg.2022.100143
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Ming, C., Wang, M., Wang, Q., Neff, R., Wang, E., Shen, Q., Reddy, J. S., Wang, X., Allen, M., Ertekin‐Taner, N., De Jager, P. L., Bennett, D. A., Haroutunian, V., Schadt, E., & Zhang, B. (2021). Whole genome sequencing–based copy number variations reveal novel pathways and targets in Alzheimer’s disease. Alzheimer’s & Dementia, 18(10), 1846–1867. Portico. https://doi.org/10.1002/alz.12507
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Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., Miao, J., Arias, J. D., Graham, S. E., Mukamel, R. E., Spracklen, C. N., Yin, X., Chen, S.-H., Ferreira, T., Highland, H. H., … Hirschhorn, J. N. (2022). A saturated map of common genetic variants associated with human height. Nature, 610(7933), 704–712. https://doi.org/10.1038/s41586-022-05275-y
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Seto, M., Weiner, R. L., Dumitrescu, L., Mahoney, E. R., Hansen, S. L., Janve, V., Khan, O. A., Liu, D., Wang, Y., Menon, V., De Jager, P. L., Schneider, J. A., Bennett, D. A., Gifford, K. A., Jefferson, A. L., & Hohman, T. J. (2022). RNASE6 is a novel modifier of APOE-ε4 effects on cognition. Neurobiology of Aging, 118, 66–76. https://doi.org/10.1016/j.neurobiolaging.2022.06.011
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Leavitt, V. M., Dworkin, J. D., Buyukturkoglu, K., Riley, C. S., & Ritchey, M. (2022). Summary metrics of memory subnetwork functional connectivity alterations in multiple sclerosis. Multiple Sclerosis Journal, 28(12), 1963–1972. https://doi.org/10.1177/13524585221099169
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Gao, Y., Felsky, D., Reyes‐Dumeyer, D., Sariya, S., Rentería, M. A., Ma, Y., Klein, H., Cosentino, S., De Jager, P. L., Bennett, D. A., Brickman, A. M., Schellenberg, G. D., Mayeux, R., & Barral, S. (2021). Integration of GWAS and brain transcriptomic analyses in a multiethnic sample of 35,245 older adults identifies DCDC2 gene as predictor of episodic memory maintenance. Alzheimer’s & Dementia, 18(10), 1797–1811. Portico. https://doi.org/10.1002/alz.12524
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Kever, A., Aguerre, I. M., Vargas, W., Straus Farber, R., Levine, L., Riley, C. S., Vasquez, M., & Leavitt, V. M. (2022). Feasibility trial of a telehealth support group intervention to reduce anxiety in multiple sclerosis. Clinical Rehabilitation, 36(10), 1305–1313. https://doi.org/10.1177/02692155221107077
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Boorgu, D. S. S. K., Venkatesh, S., Lakhani, C. M., Walker, E., Aguerre, I. M., Riley, C., Patel, C. J., De Jager, P. L., & Xia, Z. (2022). The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis. Multiple Sclerosis and Related Disorders, 65, 103994. https://doi.org/10.1016/j.msard.2022.103994
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Marrie, R. A., Allegretta, M., Barcellos, L. F., Bebo, B., Calabresi, P. A., Correale, J., Davis, B., De Jager, P. L., Gasperi, C., Greenbaum, C., Helme, A., Hemmer, B., Kanellis, P., Kostich, W., Landsman, D., Lebrun-Frenay, C., Makhani, N., Munger, K. L., Okuda, D. T., … Tremlett, H. (2022). From the prodromal stage of multiple sclerosis to disease prevention. Nature Reviews Neurology, 18(9), 559–572. https://doi.org/10.1038/s41582-022-00686-x
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Ramdas, S., Judd, J., Graham, S. E., Kanoni, S., Wang, Y., Surakka, I., Wenz, B., Clarke, S. L., Chesi, A., Wells, A., Bhatti, K. F., Vedantam, S., Winkler, T. W., Locke, A. E., Marouli, E., Zajac, G. J. M., Wu, K.-H. H., Ntalla, I., Hui, Q., … Brown, C. D. (2022). A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. The American Journal of Human Genetics, 109(8), 1366–1387. https://doi.org/10.1016/j.ajhg.2022.06.012
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Bryois, J., Calini, D., Macnair, W., Foo, L., Urich, E., Ortmann, W., Iglesias, V. A., Selvaraj, S., Nutma, E., Marzin, M., Amor, S., Williams, A., Castelo-Branco, G., Menon, V., De Jager, P., & Malhotra, D. (2022). Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders. Nature Neuroscience, 25(8), 1104–1112. https://doi.org/10.1038/s41593-022-01128-z
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Sorosina, M., Barizzone, N., Clarelli, F., Anand, S., Lupoli, S., Salvi, E., Mangano, E., Bordoni, R., Roostaei, T., Mascia, E., Zuccalà, M., Vecchio, D., Cavalla, P., Santoro, S., Ferrè, L., Zollo, A., Florio, L., Ragonese, P., … Martinelli Boneschi, F. (2022). A multi-step genomic approach prioritized TBKBP1 gene as relevant for multiple sclerosis susceptibility. Journal of Neurology, 269(8), 4510–4522. https://doi.org/10.1007/s00415-022-11109-8
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Consens, M. E., Chen, Y., Menon, V., Wang, Y., Schneider, J. A., De Jager, P. L., Bennett, D. A., Tripathy, S. J., & Felsky, D. (2022). Bulk and Single-Nucleus Transcriptomics Highlight Intra-Telencephalic and Somatostatin Neurons in Alzheimer’s Disease. Frontiers in Molecular Neuroscience, 15. https://doi.org/10.3389/fnmol.2022.903175
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Cosacak, M. I., Bhattarai, P., De Jager, P. L., Menon, V., Tosto, G., & Kizil, C. (2022). Single Cell/Nucleus Transcriptomics Comparison in Zebrafish and Humans Reveals Common and Distinct Molecular Responses to Alzheimer’s Disease. Cells, 11(11), 1807. https://doi.org/10.3390/cells11111807
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Hallacli, E., Kayatekin, C., Nazeen, S., Wang, X. H., Sheinkopf, Z., Sathyakumar, S., Sarkar, S., Jiang, X., Dong, X., Di Maio, R., Wang, W., Keeney, M. T., Felsky, D., Sandoe, J., Vahdatshoar, A., Udeshi, N. D., Mani, D. R., Carr, S. A., Lindquist, S., … Khurana, V. (2022). The Parkinson’s disease protein alpha-synuclein is a modulator of processing bodies and mRNA stability. Cell, 185(12), 2035-2056.e33. https://doi.org/10.1016/j.cell.2022.05.008
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Trumpff, C., Owusu-Ansah, E., Klein, H.-U., Lee, A. J., Petyuk, V., Wingo, T. S., Wingo, A. P., Thambisetty, M., Ferrucci, L., Seyfried, N. T., Bennett, D. A., De Jager, P. L., & Picard, M. (2022). Mitochondrial respiratory chain protein co-regulation in the human brain. Heliyon, 8(5), e09353. https://doi.org/10.1016/j.heliyon.2022.e09353
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He, C., Malone, M. J., Wendel, B. S., Ma, K.-Y., Del Alcazar, D., Weiner, D. B., De Jager, P. L., Del Río-Estrada, P. M., Ablanedo-Terrazas, Y., Reyes-Terán, G., Su, L. F., & Jiang, N. (2022). Transcriptome and TCR Repertoire Measurements of CXCR3+ T Follicular Helper Cells Within HIV-Infected Human Lymph Nodes. Frontiers in Immunology, 13. https://doi.org/10.3389/fimmu.2022.859070
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Ma, Y., Yu, L., Olah, M., Smith, R., Oatman, S. R., Allen, M., Pishva, E., Zhang, B., Menon, V., Ertekin‐Taner, N., Lunnon, K., Bennett, D. A., Klein, H., & De Jager, P. L. (2021). Epigenomic features related to microglia are associated with attenuated effect ofAPOEε4 on Alzheimer’s disease risk in humans. Alzheimer’s & Dementia, 18(4), 688–699. Portico. https://doi.org/10.1002/alz.12425
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Neuner, S. M., Telpoukhovskaia, M., Menon, V., O’Connell, K. M. S., Hohman, T. J., & Kaczorowski, C. C. (2022). Translational approaches to understanding resilience to Alzheimer’s disease. Trends in Neurosciences, 45(5), 369–383. https://doi.org/10.1016/j.tins.2022.02.005
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Yu, L., Boyle, P. A., Wingo, A. P., Yang, J., Wang, T., Buchman, A. S., Wingo, T. S., Seyfried, N. T., Levey, A. I., De Jager, P. L., Schneider, J. A., & Bennett, D. A. (2022). Neuropathologic Correlates of Human Cortical Proteins in Alzheimer Disease and Related Dementias. Neurology, 98(10). https://doi.org/10.1212/wnl.0000000000013252
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Zammit, A. R., Yu, L., Petyuk, V., Schneider, J. A., De Jager, P. L., Klein, H.-U., Bennett, D. A., & Buchman, A. S. (2022). Cortical Proteins and Individual Differences in Cognitive Resilience in Older Adults. Neurology, 98(13). https://doi.org/10.1212/wnl.0000000000200017
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Hüls, A., Robins, C., Conneely, K. N., Edgar, R., De Jager, P. L., Bennett, D. A., Wingo, A. P., Epstein, M. P., & Wingo, T. S. (2022). Brain DNA Methylation Patterns in CLDN5 Associated With Cognitive Decline. Biological Psychiatry, 91(4), 389–398. https://doi.org/10.1016/j.biopsych.2021.01.015
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Johnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., Serrano, G. E., Beach, T. G., Peng, J., De Jager, P. L., Haroutunian, V., Zhang, B., Gaiteri, C., Bennett, D. A., Gearing, M., … Seyfried, N. T. (2022). Large-scale deep multi-layer analysis of Alzheimer’s disease brain reveals strong proteomic disease-related changes not observed at the RNA level. Nature Neuroscience, 25(2), 213–225. https://doi.org/10.1038/s41593-021-00999-y
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Kever, A., Buyukturkoglu, K., Levin, S. N., Riley, C. S., De Jager, P., & Leavitt, V. M. (2021). Associations of social network structure with cognition and amygdala volume in multiple sclerosis: An exploratory investigation. Multiple Sclerosis Journal, 28(2), 228–236. https://doi.org/10.1177/13524585211018349
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Blacher, E., Tsai, C., Litichevskiy, L., Shipony, Z., Iweka, C. A., Schneider, K. M., Chuluun, B., Heller, H. C., Menon, V., Thaiss, C. A., & Andreasson, K. I. (2021). Aging disrupts circadian gene regulation and function in macrophages. Nature Immunology, 23(2), 229–236. https://doi.org/10.1038/s41590-021-01083-0
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Grodstein, F., Yu, L., de Jager, P. L., Levey, A., Seyfried, N. T., & Bennett, D. A. (2022). Exploring cortical proteins underlying the relation of neuroticism to cognitive resilience. Aging Brain, 2, 100031. https://doi.org/10.1016/j.nbas.2022.100031
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