Open Access
Issue
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
Article Number 03047
Number of page(s) 12
Section Environmental Chemistry and Environmental Pollution Analysis and Control
DOI https://doi.org/10.1051/e3sconf/202021803047
Published online 11 December 2020
  1. Alzheimer’s Association. [Retrieved from https://www.alz.org/alzheimers-dementia/facts-figures] [Google Scholar]
  2. Kuller, L. H., O. L. Lopez, R. H. Mackey, C. Rosano, D. Edmundowicz, J. T. Becker & A. B. Newman (2016) Subclinical Cardiovascular Disease and Death, Dementia, and Coronary Heart Disease in Patients 80+Years. Journal of the American College of Cardiology, 67, 1013-1022. [CrossRef] [PubMed] [Google Scholar]
  3. Querfurth, H. W. & F. M. La Ferla (2010) MECHANISMS OF DISEASE Alzheimer’s Disease. New England Journal of Medicine, 362, 329-344. [CrossRef] [PubMed] [Google Scholar]
  4. Geriatric Depression Scale. [Retrieved from https://www.apa.org/pi/about/publications/caregivers/practice-settings/assessment/tools/geriatricdepression] [Google Scholar]
  5. Kametani F. & M. Hasegawa (2018) Reconsideration of amyloid hypothesis and tau hypothesis in Alzheimer’s disease. Frontiers in neuroscience, 12, 25. [CrossRef] [PubMed] [Google Scholar]
  6. Mohandas, E., V. Rajmohan & B. Raghunath (2009) Neurobiology of Alzheimer’s disease. Indian journal of psychiatry, 51, 55. [CrossRef] [PubMed] [Google Scholar]
  7. Wiseman, F. K., L. J. Pulford, C. Barkus, F. Liao, E. Portelius, R. Webb, L. Chávez-Gutiérrez, K. Cleverley, S. Noy & O. Sheppard (2018) Trisomy of human chromosome 21 enhances amyloid-β deposition independently of an extra copy of APP. Brain, 141, 2457-2474. [CrossRef] [PubMed] [Google Scholar]
  8. Liu, X. L., B. Jiao & L. Shen (2018) The Epigenetics of Alzheimer’s Disease: Factors and Therapeutic Implications. Frontiers in Genetics, 9. [PubMed] [Google Scholar]
  9. D’Urso A. & J. H. Brickner (2014) Mechanisms of epigenetic memory. Trends in genetics, 30, 230-236. [CrossRef] [Google Scholar]
  10. Lacal I. & R. Ventura (2018) Epigenetic inheritance: concepts, mechanisms and perspectives. Frontiers in molecular neuroscience, 11, 292. [CrossRef] [PubMed] [Google Scholar]
  11. Qazi, T. J., Z. Quan, A. Mir & H. Qing (2018) Epigenetics in Alzheimer’s disease: perspective of DNA methylation. Molecular Neurobiology, 55, 1026-1044. [CrossRef] [PubMed] [Google Scholar]
  12. Wei, X., L. Zhang & Y. Zeng (2020) DNA methylation in Alzheimer’s disease: in brain and peripheral blood. Mechanisms of Ageing and Development, 111-319. [Google Scholar]
  13. Yokoyama, A. S., J. C. Rutledge & V. Medici (2017) DNA methylation alterations in Alzheimer’s disease. Environmental epigenetics, 3. [Google Scholar]
  14. Li, Y. Y., T. Chen, Y. Wan & S. Q. Xu (2012) Lead exposure in pheochromocytoma cells induces persistent changes in amyloid precursor protein gene methylation patterns. Environmental toxicology, 27, 495-502. [CrossRef] [PubMed] [Google Scholar]
  15. Liu, H., W. Li, S. Zhao, X. Zhang, M. Zhang, Y. Xiao, J. X. Wilson & G. Huang (2016) Folic acid attenuates the effects of amyloid β oligomers on DNA methylation in neuronal cells. European journal of nutrition, 55, 1849-1862. [CrossRef] [PubMed] [Google Scholar]
  16. Mano, T., K. Nagata, T. Nonaka, A. Tarutani, T. Imamura, T. Hashimoto, T. Bannai, K. Koshi-Mano, T. Tsuchida, R. Ohtomo, J. Takahashi-Fujigasaki, S. Yamashita, Y. Ohyagi, R. Yamasaki, S. Tsuji, A. Tamaoka, T. Ikeuchi, T. C. Saido, T. Iwatsubo, T. Ushijima, S. Murayama, M. Hasegawa & A. Iwata (2017) Neuron-specific methylome analysis reveals epigenetic regulation and tau-related dysfunction of BRCA1 in Alzheimer’s disease. Proceedings of the National Academy of Sciences of the United States of America, 114, E9645-E9654. [CrossRef] [PubMed] [Google Scholar]
  17. Wu, Y., F. Hou, X. Wang, Q. Kong, X. Han & B. Bai (2016) Aberrant expression of histone deacetylases 4 in cognitive disorders: molecular mechanisms and a potential target. Frontiers in Molecular Neuroscience, 9, 114. [PubMed] [Google Scholar]
  18. Delay, C., W. Mandemakers & S. S. Hébert (2012) Micro RNAs in Alzheimer’s disease. Neurobiology of disease, 46, 285-290. [CrossRef] [PubMed] [Google Scholar]
  19. Meyer, K., H. M. Feldman, T. Lu, D. Drake, E. T. Lim, K. H. Ling, N. A. Bishop, Y. Pan, J. Seo, Y. T. Lin, S. C. Su, G. M. Church, L. H. Tsai & B. A. Yankner (2019) REST and Neural Gene Network Dysregulation in iPSC Models of Alzheimer’s Disease. Cell Reports, 26, 1112-+. [CrossRef] [PubMed] [Google Scholar]
  20. Simmons B. B., B. Hartmann & D. DeJoseph (2011) Evaluation of suspected dementia. American family physician, 84, 895-902. [PubMed] [Google Scholar]
  21. Costa M. V., M. F. Diniz, K. K. Nascimento, K. S. Pereira, N. S. Dias, L. F. Malloy-Diniz & B. S. Diniz (2016) Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders. Brazilian Journal of Psychiatry, 38, 154-156. [CrossRef] [Google Scholar]
  22. Alzheimer Disease (2019) [retrieved from: https://labtestsonline.org/conditions/alzheimerdisease] [Google Scholar]
  23. Schilling, L. P., E. R. Zimmer, M. Shin, A. Leuzy, T. A. Pascoal, A. L. Benedet, W. V. Borelli, A. Palmini, S. Gauthier & P. Rosa-Neto (2016) Imaging Alzheimer’s disease pathophysiology with PET. Dementia & Neuropsychologia, 10, 79-90. [CrossRef] [PubMed] [Google Scholar]
  24. Hajipour M. J., M. R. Santoso, F. Rezaee, H. Aghaverdi, M. Mahmoudi & G. Perry (2017) Advances in alzheimer’s diagnosis and therapy: The implications of nanotechnology. Trends in biotechnology, 35, 937-953. [CrossRef] [PubMed] [Google Scholar]
  25. Li S.-S., C.-W. Lin, K.-C. Wei, C.-Y. Huang, P.-H. Hsu, H.-L. Liu, Y.-J. Lu, S.-C. Lin, H.-W. Yang & C.-C. M. Ma (2016) Non-invasive screening for early Alzheimer’s disease diagnosis by a sensitively immunomagnetic biosensor. Scientific reports, 6, 111. [Google Scholar]
  26. Di Francesco, A., B. Arosio, A. Falconi, M. V. M. Di Bonaventura, M. Karimi, D. Mari, M. Casati, M. Maccarrone & C. D’Addario (2015) Global changes in DNA methylation in Alzheimer’s disease peripheral blood mononuclear cells. Brain Behavior and Immunity, 45, 139-144. [CrossRef] [Google Scholar]
  27. Janelidze, S., N. Mattsson, S. Palmqvist, R. Smith, T. G. Beach, G. E. Serrano, X. Chai, N. K. Proctor, U. Eichenlaub & H. Zetterberg (2020) Plasma P-tau181 in Alzheimer’s disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer’s dementia. Nature Medicine, 26, 379-386. [CrossRef] [PubMed] [Google Scholar]
  28. Thijssen E. H., R. La Joie, A. Wolf, A. Strom, P. Wang, L. Iaccarino, V. Bourakova, Y. Cobigo, H. Heuer, S. Spina, L. VandeVrede, X. Y. Chai, N. K. Proctor, D. C. Airey, S. Shcherbinin, C. D. Evans, J. R. Sims, H. Zetterberg, K. Blennow, A. M. Karydas, C. E. Teunissen, J. H. Kramer, L. T. Grinberg, W. W. Seeley, H. Rosen, B. F. Boeve, B. L. Miller, G. D. Rabinovici, J. L. Dage, J. C. Rojas, A. L. Boxer & F. Advancing Res Treatment Diagnostic value of plasma phosphorylated tau181 in Alzheimer’s disease and frontotemporal lobar degeneration. Nature Medicine, 25. [Google Scholar]
  29. Xie, B., Z. C. Liu, W. X. Liu, L. Jiang, R. Zhang, D. S. Cui, Q. F. Zhang & S. J. Xu (2017) DNA Methylation and Tag SNPs of the BDNF Gene in Conversion of Amnestic Mild Cognitive Impairment into Alzheimer’s Disease: A Cross-Sectional Cohort Study. Journal of Alzheimers Disease, 58, 263-274. [CrossRef] [Google Scholar]
  30. Kandimalla R. & P. H. Reddy (2017) Therapeutics of neurotransmitters in Alzheimer’s disease. Journal of Alzheimer’s Disease, 57, 1049-1069. [CrossRef] [Google Scholar]
  31. Informed Health. Org (2019). [Retrieved from www.ncbi.nlm.nih.gov/books/NBK279358/.] [Google Scholar]
  32. Sharma K. (2019) Cholinesterase inhibitors as Alzheimer’s therapeutics. Molecular medicine reports, 20, 1479-1487. [PubMed] [Google Scholar]
  33. McShane, R., M. J. Westby, E. Roberts, N. Minakaran, L. Schneider, L. E. Farrimond, N. Maayan, J. Ware & J. Debarros (2019) Memantine for dementia. Cochrane Database of Systematic Reviews. [Google Scholar]
  34. Kabir, M., M. Uddin, A. A. Mamun, P. Jeandet, L. Aleya, R. A. Mansouri, G. M. Ashraf, B. Mathew, M. N. Bin-Jumah & M. M. Abdel-Daim (2020) Combination drug therapy for the management of Alzheimer’s disease. International Journal of Molecular Sciences, 21, 3272. [CrossRef] [Google Scholar]
  35. Cacabelos R. & O. Teijido. 2018. Epigenetic drug discovery for Alzheimer’s disease. In Epigenetics of aging and longevity, 453-495. Elsevier. [CrossRef] [Google Scholar]
  36. Hughes, S., Lepore, M., Wiener, J., & Gould E. (2017). Research on Care Coordination for People with Dementia and Family Caregivers. [Retrieved from https://aspe.hhs.gov/basic-report/research-carecoordination-people-dementia-and-familycaregivers] [Google Scholar]
  37. Kverno K. S. & R. Velez (2018) Comorbid Dementia and Depression: The Case for Integrated Care. Jnp Journal for Nurse Practitioners, 14, 196-201. [CrossRef] [Google Scholar]
  38. Gitlin L. N., K. A. Marx, I. H. Stanley, B. R. Hansen & K. S. Van Haitsma (2014) Assessing neuropsychiatric symptoms in people with dementia: a systematic review of measures. International psychogeriatrics/IPA, 26, 1805. [CrossRef] [Google Scholar]
  39. Han H.-R., S.-Y. Park, H. Song, M. Kim, K. B. Kim & H. B. Lee (2013) Feasibility and Validity of Dementia Assessment by Trained Community Health Workers Based on Clinical Dementia Rating. Journal of the American Geriatrics Society, 61, 1141-1145. [CrossRef] [PubMed] [Google Scholar]
  40. Marx K. A., I. H. Stanley, K. Van Haitsma, J. Moody, D. Alonzi, B. R. Hansen & L. N. Gitlin (2014) Knowing Versus Doing Education and Training Needs of Staff in a Chronic Care Hospital Unit for Individuals With Dementia. Journal of Gerontological Nursing, 40, 26-34. [CrossRef] [Google Scholar]
  41. Harrison Dening, K., C. Scates, G. McGill & K. DeVries (2019) A training needs analysis of admiral nurses to facilitate advance care planning in dementia. Palliative Care: Research and Treatment, 12, 1178224219850183. [Google Scholar]
  42. North B. J. & D. A. Sinclair (2012) The Intersection Between Aging and Cardiovascular Disease. Circulation Research, 110, 1097-1108. [CrossRef] [PubMed] [Google Scholar]
  43. Whitbread, D., (2020) Top 15 Fruits Highest in Sugar, [retrieved from (www.myfooddata.com/articles/high-sugar-fruits.php).] [Google Scholar]
  44. Plasek J. & M. Taborsky (2019) Subclinical atrial fibrillation what is the risk of stroke? Biomedical Papers-Olomouc, 163, 107-113. [CrossRef] [Google Scholar]
  45. Vogt N. M., R. L. Kerby, K. A. Dill-McFarland, S. J. Harding, A. P. Merluzzi, S. C. Johnson, C. M. Carlsson, S. Asthana, H. Zetterberg, K. Blennow, B. B. Bendlin & F. E. Rey (2017) Gut microbiome alterations in Alzheimer’s disease. Scientific Reports, 7, 11. [CrossRef] [PubMed] [Google Scholar]
  46. Naqvi E. (2017). Alzheimer’s Disease Statistics. Retrieved from https://alzheimersnewstoday.com/alzheimersdisease-statistics/ [Google Scholar]
  47. Arboleda-Velasquez J. F., F. Lopera, M. O’Hare, S. Delgado-Tirado, C. Marino, N. Chmielewska, K. L. Saez-Torres, D. Amarnani, A. P. Schultz, R. A. Sperling, D. Leyton-Cifuentes, K. W. Chen, A. Baena, D. Aguillon, S. Rios-Romenets, M. Giraldo, E. Guzman-Velez, D. J. Norton, E. Pardilla-Delgado, A. Artola, J. S. Sanchez, J. Acosta-Uribe, M. Lalli, K. S. Kosik, M. J. Huentelman, H. Zetterberg, K. Blennow, R. A. Reiman, J. Luo, Y. H. Chen, P. Thiyyagura, Y. Su, G. R. Jun, M. Naymik, X. W. Gai, M. Bootwalla, J. L. Ji, L. S. Shen, J. B. Miller, L. A. Kim, P. N. Tariot, K. A. Johnson, E. M. Reiman & Y. T. Quiroz (2019) Resistance to autosomal dominant Alzheimer’s disease in an APOE3 Christchurch homozygote: a case report. Nature Medicine, 25, 1680-+. [CrossRef] [PubMed] [Google Scholar]

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