Biblio

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Journal Article
S. A. Villeda, Plambeck, K. E., Middeldorp, J., Castellano, J. M., Mosher, K. I., Luo, J., Smith, L. K., Bieri, G., Lin, K., Berdnik, D., Wabl, R., Udeochu, J., Wheatley, E. G., Zou, B., Simmons, D. A., Xie, X. S., Longo, F. M., and Wyss-Coray, T., “Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice.”, Nat Med, vol. 20, no. 6, pp. 659-63, 2014.
D. Ding, Xiong, Y., Zhao, Q., Guo, Q., Chu, S., Chu, W. W. C., Luo, J., Liang, X., Zheng, L., Hong, Z., Wong, L. K. S., and Mok, V. C. T., “White Matter Hyperintensity Predicts the Risk of Incident Cognitive Decline in Community Dwelling Elderly.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1333-1341, 2018.
D. Ding, Xiong, Y., Zhao, Q., Guo, Q., Chu, S., Chu, W. W. C., Luo, J., Liang, X., Zheng, L., Hong, Z., Wong, L. K. S., and Mok, V. C. T., “White Matter Hyperintensity Predicts the Risk of Incident Cognitive Decline in Community Dwelling Elderly.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1333-1341, 2018.
E. Kuźma, Hannon, E., Zhou, A., Lourida, I., Bethel, A., Levine, D. A., Lunnon, K., Thompson-Coon, J., Hyppönen, E., and Llewellyn, D. J., “Which Risk Factors Causally Influence Dementia? A Systematic Review of Mendelian Randomization Studies.”, J Alzheimers Dis, vol. 64, no. 1, pp. 181-193, 2018.
V. Fleming, Helsel, B. C., Ptomey, L. T., H Rosas, D., Handen, B., Laymon, C., Christian, B. T., Head, E., Mapstone, M., Lai, F., Krinsky-McHale, S., Zaman, S., Ances, B. M., Lee, J. H., and Hartley, S. L., “Weight Loss and Alzheimer's Disease in Down Syndrome.”, J Alzheimers Dis, vol. 91, no. 3, pp. 1215-1227, 2022.
S. Hirano, Shinotoh, H., Shimada, H., Ota, T., Sato, K., Tanaka, N., Zhang, M. - R., Higuchi, M., Fukushi, K., Irie, T., Kuwabara, S., and Suhara, T., “Voxel-Based Acetylcholinesterase PET Study in Early and Late Onset Alzheimer's Disease.”, J Alzheimers Dis, vol. 62, no. 4, pp. 1539-1548, 2018.
L. Tremolizzo, Bianchi, E., Susani, E., Pupillo, E., Messina, P., Aliprandi, A., Salmaggi, A., Cosseddu, M., Pilotto, A., Borroni, B., Padovani, A., Bonomini, C., Zanetti, O., Appollonio, I., Beghi, E., and Ferrarese, C., “Voluptuary Habits and Risk of Frontotemporal Dementia: A Case Control Retrospective Study.”, J Alzheimers Dis, vol. 60, no. 2, pp. 335-340, 2017.
S. Licher, de Bruijn, R. F. A. G., Wolters, F. J., M Zillikens, C., M Ikram, A., and M Ikram, K., “Vitamin D and the Risk of Dementia: The Rotterdam Study.”, J Alzheimers Dis, vol. 60, no. 3, pp. 989-997, 2017.
J. Li, Wang, Y. J., Zhang, M., Xu, Z. Q., Gao, C. Y., Fang, C. Q., Yan, J. C., and Zhou, H. D., “Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease.”, Neurology, vol. 76, no. 17, pp. 1485-91, 2011.
J. Li, Wang, Y. J., Zhang, M., Xu, Z. Q., Gao, C. Y., Fang, C. Q., Yan, J. C., and Zhou, H. D., “Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease.”, Neurology, vol. 76, no. 17, pp. 1485-91, 2011.
J. - T. He, Zhao, X., Xu, L., and Mao, C. - Y., “Vascular Risk Factors and Alzheimer's Disease: Blood-Brain Barrier Disruption, Metabolic Syndromes, and Molecular Links.”, J Alzheimers Dis, vol. 73, no. 1, pp. 39-58, 2020.
S. Li, Shao, Y., Li, K., HuangFu, C., Wang, W., Liu, Z., Cai, Z., and Zhao, B., “Vascular Cognitive Impairment and the Gut Microbiota.”, J Alzheimers Dis, vol. 63, no. 4, pp. 1209-1222, 2018.
A. L. Jefferson, Gifford, K. A., Mae Y Acosta, L., Bell, S. P., Donahue, M. J., L Davis, T., Gottlieb, J. A., Gupta, D. K., Hohman, T. J., Lane, E. M., Libon, D. J., Mendes, L. A., Niswender, K., Pechman, K. R., Rane, S., Ruberg, F. L., Su, Y. Ru, Zetterberg, H., and Liu, D., “The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview.”, J Alzheimers Dis, vol. 52, no. 2, pp. 539-59, 2016.
X. Feng, Zhou, A., Liu, Z., Li, F., Wei, C., Zhang, G., and Jia, J., “Validation of the Delayed Matching-to-Sample Task 48 (DMS48) in Elderly Chinese.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1611-1618, 2018.
X. Feng, Zhou, A., Liu, Z., Li, F., Wei, C., Zhang, G., and Jia, J., “Validation of the Delayed Matching-to-Sample Task 48 (DMS48) in Elderly Chinese.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1611-1618, 2018.
S. Westwood, Baird, A. L., Anand, S. N., Nevado-Holgado, A. J., Kormilitzin, A., Shi, L., Hye, A., Ashton, N. J., Morgan, A. R., Bos, I., Vos, S. J. B., Baker, S., Buckley, N. J., Kate, M. Ten, Scheltens, P., Teunissen, C. E., Vandenberghe, R., Gabel, S., Meersmans, K., Engelborghs, S., De Roeck, E. E., Sleegers, K., Frisoni, G. B., Blin, O., Richardson, J. C., Bordet, R., Molinuevo, J. L., Rami, L., Wallin, A., Kettunen, P., Tsolaki, M., Verhey, F., Lleo, A., Sala, I., Popp, J., Peyratout, G., Martínez-Lage, P., Tainta, M., Johannsen, P., Freund-Levi, Y., Frölich, L., Dobricic, V., Legido-Quigley, C., Bertram, L., Barkhof, F., Zetterberg, H., B Morgan, P., Streffer, J., Visser, P. Jelle, and Lovestone, S., “Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort.”, J Alzheimers Dis, vol. 74, no. 1, pp. 213-225, 2020.
E. Stallard, Kociolek, A., Jin, Z., Ryu, H., Lee, S., Cosentino, S., Zhu, C., Gu, Y., Fernandez, K., Hernandez, M., Kinosian, B., and Stern, Y., “Validation of a Multivariate Prediction Model of the Clinical Progression of Alzheimer's Disease in a Community-Dwelling Multiethnic Cohort.”, J Alzheimers Dis, vol. 95, no. 1, pp. 93-117, 2023.
C. Xu Peh, Abdin, E., Vaingankar, J. A., Verma, S., Chua, B. Yiang, Sagayadevan, V., Seow, E., Zhang, Y. J., Shahwan, S., Ng, L. Ling, Prince, M., Chong, S. Ann, and Subramaniam, M., “Validation of a Latent Construct for Dementia in a Population-Wide Dataset from Singapore.”, J Alzheimers Dis, vol. 55, no. 2, pp. 823-833, 2017.
Z. Shi, Zhu, Y., Wang, M., Wu, Y., Cao, J., Li, C., Xie, Z., and Shen, Y., “The Utilization of Retinal Nerve Fiber Layer Thickness to Predict Cognitive Deterioration.”, J Alzheimers Dis, vol. 49, no. 2, pp. 399-405, 2016.
C. Li, Neugroschl, J., Luo, X., Zhu, C., Aisen, P., Ferris, S., and Sano, M., “The Utility of the Cognitive Function Instrument (CFI) to Detect Cognitive Decline in Non-Demented Older Adults.”, J Alzheimers Dis, vol. 60, no. 2, pp. 427-437, 2017.
M. J. Lan, R Ogden, T., Kumar, D., Stern, Y., Parsey, R. V., Pelton, G. H., Rubin-Falcone, H., Pradhaban, G., Zanderigo, F., Miller, J. M., J Mann, J., and Devanand, D. P., “Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia.”, J Alzheimers Dis, vol. 60, no. 3, pp. 939-947, 2017.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., “Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., “Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., “Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
F. Yao, Hong, X., Li, S., Zhang, Y., Zhao, Q., Du, W., Wang, Y., and Ni, J., “Urine-Based Biomarkers for Alzheimer's Disease Identified Through Coupling Computational and Experimental Methods.”, J Alzheimers Dis, vol. 65, no. 2, pp. 421-431, 2018.

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