Page 77 - Программа - Всероссийский конгресс с международным участием «Нейронауки: интеграция теории и практики», 18-19 ноября 2022 года, Онлайн
P. 77

Russian Military Medical
                 SCIENTIFIC REVIEWS                         Vol. 41 (4) 2022                          Academy Reports
           426

                16. Chauhan N., Maekawa T., Kumar D.N.S. Graphene based biosen-  22. Sainz-Urruela C., Vera-López S., San Andrés M.P., Díez-Pascual
                sors-Accelerating medical diagnostics to new-dimensions // J. Mater.   A.M. Graphene-Based Sensors for the Detection of Bioactive Com-
                Res. 2017. Vol. 32, No. 15. P. 2860–2882. DOI: 10.1557/jmr.2017.91  pounds: A Review // Int. J. Mol. Sci. 2021. Vol. 22, No. 7. P. 3316.
                17. Li M., Yang X., Ren J., et al. Using graphene oxide high near-infrared   DOI: 10.3390/ijms22073316
                absorbance for photothermal treatment of Alzheimer’s disease // Adv.   23. Rembach A., Faux N.G., Watt A.D., et al. Changes in plasma amyloid
                Mater. 2012. Vol. 24, No. 13. P. 1722–1728. DOI: 10.1002/adma.201104864  beta in a longitudinal study of aging and Alzheimer’s disease // Alzheim-
                18. Demeritte T., Nellore B.P., Kanchanapally R., et al. Hybrid Gra-  ers Dement. 2014. Vol. 10. P. 53–61. DOI: 10.1016/j.jalz.2012.12.006
                phene Oxide Based Plasmonic-Magnetic Multifunctional Nanoplat-  24. Davies D.R., Sheriff S., Padlan E.A. Antibody-Antigen Complex-
                form for Selective Separation and Label-Free Identification of Al-  es // J. Biological Chemistry. 1988. Vol. 263, No. 22. P. 10541–10544.
                zheimer’s Disease Biomarkers // ACS Appl. Mater. Interfaces. 2015.   DOI: 10.1146/annurev.biochem.59.1.439
                Vol. 7, No. 24. P. 13693–13700. DOI: 10.1021/acsami.5b03619  25. Усиков A.С., Лебедев С.П., Роенков А.Д., и др. Исследование
                19. Chae M.S., Kim J., Jeong D., et al. Enhancing surface functional-  чувствительной способности графена для применений в каче-
                ity of reduced graphene oxide biosensors by oxygen plasma treat-  стве биосенсоров // Письма в журнал технической физики. 2020.
                ment for Alzheimer’s disease diagnosis // Biosens Bioelectron. 2017.   Т. 46, № 10. С. 3–6.
                Vol. 92. P. 610–617. DOI: 10.1016/j.bios.2016.10.049  26. Sun L., Zhong Y., Gui J., et al. A hydrogel biosensor for high se-
                20. Leszek J., Md Ashraf G., Tse W.H., et al. Nanotechnology for   lective and sensitive detection of amyloid-beta oligomers // Int. J.
                Alzheimer Disease // Curr. Alzheimer Res. 2017. Vol. 14, No. 11.   Nanomedicine. 2018. Vol. 13. P. 843–856. DOI: 10.2147/IJN.S152163
                P. 1182–1189. DOI: 10.2174/1567205014666170203125008  27. Toyos-Rodríguez C., García-Alonso F.J., de la Escosura-Muñiz A.
                21. Speranza G. Carbon Nanomaterials: Synthesis, Functionalization   Electrochemical Biosensors Based on Nanomaterials for Early De-
                and Sensing Applications // Nanomaterials (Basel). 2021. Vol. 11,   tection of Alzheimer’s Disease  // Sensors (Basel). 2020. Vol. 20,
                No. 4. P. 967. DOI: 10.3390/nano11040967          No. 17. P. 4748. DOI: 10.3390/s20174748


                REFERENCES
                1.  Reitz C, Brayne C, Mayeux R. Epidemiology of Alzheimer disease.   Specificity and Potential for Clinical Use. J Pers Med. 2020;10(3):116.
                Nat Rev Neurol. 2011;7(3):137–152. DOI: 10.1038/nrneurol.2011.2  DOI: 10.3390/jpm10030116
                2.  Tahami Monfared AA, Byrnes MJ, White LA, Zhang Q. Alzheim-  10. Harada R, Okamura N, Furumoto S, et al. Characteristics of
                er’s Disease: Epidemiology and Clinical Progression. Neurol Ther.   Tau and Its Ligands in PET Imaging.  Biomolecules. 2016;6(1):7.
                2022;11(2):553–569. DOI: 10.1007/s40120-022-00338-8  DOI: 10.3390/biom6010007
                3.  Elonheimo HM, Andersen HR, Katsonouri A, Tolonen H. Envi-  11. Camus V, Payoux P, Barré L, et al. Using PET with 18F-AV-45 (flor-
                                                                  betapir) to quantify brain amyloid load in a clinical environment. Eur J Nucl
                ronmental Substances Associated with Alzheimer’s Disease-A
                Scoping Review. Int J Environ Res Public Health. 2021;18(22):11839.   Med Mol Imaging. 2012;39(4):621–631. DOI: 10.1007/s00259-011-2021-8
                                                                  12. Mielke MM, Hagen CE, Wennberg AMV, et al. Association of
                DOI: 10.3390/ijerph182211839                      plasma total tau level with cognitive decline and risk of mild cogni-
                4.  McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of
                                                                  tive impairment or dementia in the mayo clinic study on aging. JAMA
                dementia due to Alzheimer’s disease: recommendations from the
                                                                  Neurol. 2017;74:1073–1080. DOI: 10.1001/jamaneurol.2017.1359
                National Institute on Aging–Alzheimer’s Association workgroups   13. Hanon O, Vidal JS, Lehmann S, et al. Plasma amyloid levels within
                on diagnostic guidelines for Alzheimer’s disease. Alzheim dement.   the Alzheimer’s process and correlations with central biomarkers. Al-
                2011;7(3):263–269. DOI: 10.1016/j.jalz.2011.03.005  zheimers Dement. 2018;14:858–868. DOI: 10.1016/j.jalz.2018.01.004
                5.  Jack CR, Albert MS, Knopman DS, et al. Introduction to the rec-  14. Jia L, Qiu Q, Zhang H, et al. Concordance between the assess-
                ommendations from the National Institute on Aging–Alzheimer’s As-  ment of Aβ42, T-tau, and P-T181-tau in peripheral blood neuronal-
                sociation workgroups on diagnostic guidelines for Alzheimer’s disease.   derived exosomes and cerebrospinal fluid.  Alzheimers Dement.
                Alzheim dement. 2011;7(3):257–262. DOI: 10.1016/j.jalz.2011.03.004  2019;15:1071–1080. DOI: 10.1016/j.jalz.2019.05.002
                6.  Sperling RA, Aisen PS, Beckett LA, et al. Toward defining the   15. Lebedev AA, Davydov VYu, Novikov SN, et al. Graphene-based
                preclinical stages of Alzheimer’s disease: recommendations from   biosensors. Technical Physics Letters. 2016;42(14):28–35. (In Russ.)
                                                                  DOI: journals.ioffe.ru/articles/viewPDF/43411
                the National Institute on Aging–Alzheimer’s Association workgroups
                                                                  16. Chauhan N, Maekawa T, Kumar DNS. Graphene based biosen-
                on diagnostic guidelines for Alzheimer’s disease. Alzheim dement.
                                                                  sors-Accelerating medical diagnostics to new-dimensions. J Mater
                2011;7(3):280–292. DOI: 10.1016/j.jalz.2011.03.003
                                                                  Res. 2017;32(15):2860–2882. DOI: 10.1557/jmr.2017.91
                7.  Albert MS, DeKosky ST, Dickson D, et al. The diagnosis of mild
                                                                  17.  Li M, Yang X, Ren J, et al. Using graphene oxide high near-infra-
                cognitive impairment due to Alzheimer’s disease: recommendations
                                                                  red absorbance for photothermal treatment of Alzheimer’s disease.
                from the National Institute on Aging-Alzheimer’s Association work-
                                                                  Adv Mater. 2012;24(13):1722–1728. DOI: 10.1002/adma.201104864
                groups on diagnostic guidelines for Alzheimer’s disease. Alzheim   18. Demeritte T, Nellore BP, Kanchanapally R, et al. Hybrid Graphene
                Dement. 2011;7(3):270–279. DOI: 10.1016/j.jalz.2011.03.008  Oxide Based Plasmonic-Magnetic Multifunctional Nanoplatform
                8.  Emelin AYu, Lobzin VYu, Vorob’ev SV. Cognitive disorders:   for Selective Separation and Label-Free Identification of Alzheim-
                a guide for doctors. Moscow: T8 Izdatel’skiуe Tekhnologii Publishing   er’s Disease Biomarkers.  ACS Appl Mater Interfaces. 2015;7(24):
                House; 2019. 416 p. (In Russ.)                    13693–13700. DOI: 10.1021/acsami.5b03619
                9.  d’Abramo C, D’Adamio L, Giliberto L. Significance of Blood and   19. Chae MS, Kim J, Jeong D, et al. Enhancing surface functionality
                Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease: Sensitivity,   of reduced graphene oxide biosensors by oxygen plasma treatment
                                                     DOI: https://doi.org/10.17816/rmmar111884
   72   73   74   75   76   77   78   79   80   81   82