dc.creatorAllegri, Ricardo Francisco
dc.date2021-03-12T15:55:18Z
dc.date2021-03-12T15:55:18Z
dc.date2020-09-18
dc.date.accessioned2023-10-03T19:22:44Z
dc.date.available2023-10-03T19:22:44Z
dc.identifier19805764
dc.identifierhttps://hdl.handle.net/11323/7992
dc.identifierhttps://doi.org/10.1590/1980-57642020dn14-030005
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9169813
dc.descriptionNeurodegenerative dementias have been described based on their phenotype, in relation to selective degeneration occurring in a particular neuroanatomical system. More recently however, the term proteinopathy has been introduced to describe diseases in which one or more altered proteins can be detected. Neurodegenerative diseases can be produced by more than one abnormal protein and each proteinopathy can determine different clinical phenotypes. Specific biomarkers have now been linked to certain molecular pathologies in live patients. In 2016, a new biomarker-based classification, currently only approved for research in Alzheimer’s disease, was introduced. It is based on the evaluation three biomarkers: amyloid (A) detected on amyloid-PET or amyloid- beta 42 assay in CSF; tau (T) measured in CSF as phosphorylated tau or on tau PET imaging; and neuronal injury/neurodegeneration (N), detected by total T-tau in CSF, FDG PET hypometabolism and on MRI brain scan. Results of clinical research using the ATN biomarkers at FLENI, a Neurological Institute in Buenos Aires, Argentina have, since 2011, contributed to ongoing efforts to move away from the concept of neurodegenerative dementias and more towards one of cognitive proteinopathies. Today, clinical diagnosis in dementia can only tell us “where” abnormal tissue is found but not “what” molecular mechanisms are involved
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.relation1. Bateman RJ, Xiong C, Benzinger TL, Fagan AM, Goate A, Fox NC, et al. Clinical and biomarker changes in dominantly inherited Alzheimer's disease. N Engl J Med. 2012;367(9):795-804. 10.1056/NEJMoa1202753
dc.relation2. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34(7):939-44. https://doi.org/10.1212/wnl.34.7.939
dc.relation3. Mendez PC, Surace E, Bérgamo Y, Calandri I, Vázquez S, Sevlever G, et al. Biomarkers for Alzheimer's disease. Where we stand and where we are headed. Medicina (B Aires). 2019;79(Spec 6/1):546-51.
dc.relation4. Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K, et al. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet Neurol. 2014;13(6):614-29. https://doi.org/10.1016/s1474-4422(14)70090-0
dc.relation5. Allegri RF, Vazquez S, Sevlever G. Enfermedad de Alzheimer: Nuevos Paradigmas. Buenos Aires: Editorial Polemos; 2018.
dc.relation6. Cairns NJ, Perrin RJ, Franklin EE, Carter D, Vincent B, Xie M, et al. Neuropathologic assessment of participants in two multi-center longitudinal observational studies: the Alzheimer Disease Neuroimaging Initiative (ADNI) and the Dominantly Inherited Alzheimer Network (DIAN). Neuropathology. 2015;35(4):390-400. https://doi.org/10.1111/neup.12205
dc.relation7. Pievani M, Filippini N, van den Heuvel MP, Cappa SF, Frisoni GB. Brain connectivity in neurodegenerative diseases--from phenotype to protein pathy. Nat Rev Neurol. 2014;10(11):620-33. https://doi.org/10.1038/nrneurol.2014.178
dc.relation8. Nelson PT, Dickson DW, Trojanowski JQ, Jack CR, Boyle PA, Arfanakis K, et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain. 2019;142(6):1503-27. https://doi.org/10.1093/brain/awz099
dc.relation9. Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011;76(11):1006-14. https://doi.org/10.1212/WNL.0b013e31821103e6
dc.relation10. Takeda S. Progress ion of Alzheimer's disease, tau propagation, and its modifiable risk factors. Neurosci Res. 2019;141:36-42. https://doi.org/10.1016/j.neures.2018.08.005
dc.relation11. Dubois B, Feldman HH, Jacova C, Dekosky ST, Barberger-Gateau P, et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. Lancet Neurol. 2007;6(8):734-46. https://doi.org/10.1016/s1474-4422(07)70178-3
dc.relation12. Jack CR Jr, Albert MS, Knopman DS, McKhann GM, Sperling RA, Carrillo MC, et al. Introduction to the recommendations from the National Institute on Aging - Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7(3):257-62. https://doi.org/10.1016/j.jalz.2011.03.004
dc.relation13. Jack Jr CR, Bennett DA, Blennow K, Carrillo MC, Feldman HH, Frisoni GB, et al. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. 2016;87(5):539-47. https://doi.org/10.1212/WNL.0000000000002923
dc.relation14. Russo MJ, Gustafson S, Vázquez S, Surace E, Guinjoan S, Allegri RF, et al. Creation of the Argentina - Alzheimer Disease Neuroimaging Initiative. Alzheimers Dementia. 2014;10(1 Suppl):S84-7. https://doi.org/10.1016/j.jalz.2013.09.015
dc.relation15. Carrillo MC, Bain LJ, Frisoni GB, Weiner MW. Worldwide Alzheimer’s disease neuroimaging initiative. Alzheimers Dement. 2012;8(4):337-42. https://doi.org/10.1016/j.jalz.2012.04.007
dc.relation16. Weiner MW, Aisen PS, Jack Jr CR, Jagust WJ, Trojanowski JQ, Shaw L, et al. The Alzheimer’s Disease Neuroimaging Initiative: progress report and future plans. Alzheimers Dement. 2010;6(3):202-11. https://doi.org/10.1016/j.jalz.2010.03.007
dc.relation17. Surace E, Cohen G, Chrem Méndez P, Martin ME, Smyth E, Russo G, et al. Latin American Experience with Alzheimer’s disease. Cerebrospinal Fluid Biomarkers. J Am Geriatr Soc. 2013;61(7):1229-31. https://doi.org/10.1111/jgs.12352
dc.relation18. Harris P, Fernández Suarez M, Surace EI, Chrem Méndez P, Martín ME, Clarens MF, et al. Cognitive reserve and Aβ1-42 in mild cognitive impairment (Argentina - Alzheimer’s Disease Neuroimaging Initiative). Neuropsychiatr Dis Treat. 2015;11:2599-604. https://doi.org/ 10.2147/NDT.S84292
dc.relation19. Chrem P, Cohen G, Russo MJ, Fernandez M, Nahas F, Russo G, et al. Concordance between 11C-PIB-PET and clinical diagnosis in a memory clinic. Am J Alzheimers Dis Other Demen. 2015;30(6):599-606. https://doi.org/10.1177/1533317515576387
dc.relation20. Russo MJ, Cohen G, Chrem Mendez P, Campos J, Nahas FE, Surace EI, et al. Predicting episodic memory performance using different biomarkers: results from Argentina-Alzheimer's Disease Neuroimaging Initiative. Neuropsychiatr Dis Treat. 2016;12:2199-206. https://doi.org/10.2147/ndt.s107051
dc.relation21. Russo MJ, Campos J, Vázquez S, Sevlever G, Allegri RF. Alzheimer's disease neuroimaging initiative. Adding recognition discriminability index to the delayed recall is useful to predict conversion from mild cognitive impairment to Alzheimer's disease in the Alzheimer's disease neuroimaging initiative. Front Aging Neurosci. 2017;9:46. https://doi.org/10.3389/fnagi.2017.00046
dc.relation22. Russo MJ, Cohen G, Campos J, Martin ME, Clarens MF, Sabe L, et al. Usefulness of discriminability and response bias indices for the evaluation of recognition memory in mild cognitive impairment and Alzheimer disease. Dement Geriatr Cogn Disord. 2017;43(1-2):1-14. https://doi.org/10.1159/000452255
dc.relation23. Méndez PC, Calandri I, Nahas F, Russo MJ, Demey I, Martín Meet, et al. Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI): neuropsychological evolution profile after one-year follow up. Arq Neuropsiquiatr. 2018;76(4):231-40. https://doi.org/10.1590/0004-282x20180025
dc.relation24. Russo MJ, Cohen G, Méndez PC, Campos J, Martín ME, Clarens MF, et al. Utility of the Spanish version of the Everyday Cognition scale in the diagnosis of mild cognitive impairment and mild dementia in an older cohort from the Argentina-ADNI. Aging Clin Exp Res. 2018;30(10):1167-76. https://doi.org/10.1007/s40520-018-0899-8
dc.relation25. Jack Jr CR, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018;14(4):535-62. https://doi.org/10.1016/j.jalz.2018.02.018
dc.relation26. Allegri RF, Chrem Mendez P, Calandri I, Cohen G, Martin ME, Russo MJ, et al. Prognostic value of ATN Alzheimer biomarkers: 60-month follow-up results from the Argentine-Alzheimer’s Disease Neuroimaging Initiative. Alzheimers Dementia (Amst). 2020;12(1):e12026. https://doi.org/10.1002/dad2.12026
dc.relation27. Niikado M, Méndez PC, Itzcovich T, Barbieri-Kennedy M, Calandri I, Martinetto H, et al. Evaluation of cerebrospinal fluid neurofilament light chain as a routine biomarker in a memory clinic. J Gerontol A Biol Sci Med Sci. 2019;74(4):442-5. https://doi.org/10.1093/gerona/gly179
dc.relation28. Riudavets MA, Bartoloni L, Troncoso JC, Pletnikova O, St George-Hyslop P, Schultz M et al. Familial dementia with frontotemporal features associated with M146V presenilin-1 mutation. Brain Pathol. 2013;23(5):595-600. https://doi.org/10.1111/bpa.12051
dc.relation29. Itzcovich T, Méndez PC, Vázquez S, Barbieri-Kennedy M, Niikado M, Martinetto H, et al. A novel mutation in PSEN1 (p.T119I) in an Argentine family with early- and late-onset Alzheimer's disease. Neurobiol Aging. 2020;85:155.e9-155.e12. https://doi.org/10.1016/j.neurobiolaging.2019.05.001
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceDementia e Neuropsychologia
dc.sourcehttps://www.scielo.br/scielo.php?pid=S1980-57642020000300237&script=sci_arttext
dc.subjectAlzheimer disease
dc.subjectProteins
dc.subjectFrontotemporal dementia
dc.subjectBiomarkers
dc.subjectDementia
dc.titleMoving from neurodegenerative dementias, to cognitive proteinopathies, replacing “where” by “what”
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


Este ítem pertenece a la siguiente institución