Literature DB >> 34239130

Developing the ATX(N) classification for use across the Alzheimer disease continuum.

Harald Hampel1, Jeffrey Cummings2, Kaj Blennow3,4, Peng Gao5, Clifford R Jack6, Andrea Vergallo5.   

Abstract

Breakthroughs in the development of highly accurate fluid and neuroimaging biomarkers have catalysed the conceptual transformation of Alzheimer disease (AD) from the traditional clinical symptom-based definition to a clinical-biological construct along a temporal continuum. The AT(N) system is a symptom-agnostic classification scheme that categorizes individuals using biomarkers that chart core AD pathophysiological features, namely the amyloid-β (Aβ) pathway (A), tau-mediated pathophysiology (T) and neurodegeneration (N). This biomarker matrix is now expanding towards an ATX(N) system, where X represents novel candidate biomarkers for additional pathophysiological mechanisms such as neuroimmune dysregulation, synaptic dysfunction and blood-brain barrier alterations. In this Perspective, we describe the conceptual framework and clinical importance of the existing AT(N) system and the evolving ATX(N) system. We provide a state-of-the-art summary of the potential contexts of use of these systems in AD clinical trials and future clinical practice. We also discuss current challenges related to the validation, standardization and qualification process and provide an outlook on the real-world application of the AT(N) system.
© 2021. Springer Nature Limited.

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Year:  2021        PMID: 34239130     DOI: 10.1038/s41582-021-00520-w

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   44.711


  101 in total

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Authors:  Clifford R Jack; Heather J Wiste; Terry M Therneau; Stephen D Weigand; David S Knopman; Michelle M Mielke; Val J Lowe; Prashanthi Vemuri; Mary M Machulda; Christopher G Schwarz; Jeffrey L Gunter; Matthew L Senjem; Jonathan Graff-Radford; David T Jones; Rosebud O Roberts; Walter A Rocca; Ronald C Petersen
Journal:  JAMA       Date:  2019-06-18       Impact factor: 56.272

4.  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.

Authors:  G McKhann; D Drachman; M Folstein; R Katzman; D Price; E M Stadlan
Journal:  Neurology       Date:  1984-07       Impact factor: 9.910

5.  Amyloid PET Screening for Enrichment of Early-Stage Alzheimer Disease Clinical Trials: Experience in a Phase 1b Clinical Trial.

Authors:  Jeff Sevigny; Joyce Suhy; Ping Chiao; Tianle Chen; Gregory Klein; Derk Purcell; Joonmi Oh; Ajay Verma; Mehul Sampat; Jerome Barakos
Journal:  Alzheimer Dis Assoc Disord       Date:  2016 Jan-Mar       Impact factor: 2.703

6.  The National Institute on Aging-Alzheimer's Association Framework on Alzheimer's disease: Application to clinical trials.

Authors:  Jeffrey Cummings
Journal:  Alzheimers Dement       Date:  2018-06-21       Impact factor: 21.566

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Authors:  James P B O'Connor; Eric O Aboagye; Judith E Adams; Hugo J W L Aerts; Sally F Barrington; Ambros J Beer; Ronald Boellaard; Sarah E Bohndiek; Michael Brady; Gina Brown; David L Buckley; Thomas L Chenevert; Laurence P Clarke; Sandra Collette; Gary J Cook; Nandita M deSouza; John C Dickson; Caroline Dive; Jeffrey L Evelhoch; Corinne Faivre-Finn; Ferdia A Gallagher; Fiona J Gilbert; Robert J Gillies; Vicky Goh; John R Griffiths; Ashley M Groves; Steve Halligan; Adrian L Harris; David J Hawkes; Otto S Hoekstra; Erich P Huang; Brian F Hutton; Edward F Jackson; Gordon C Jayson; Andrew Jones; Dow-Mu Koh; Denis Lacombe; Philippe Lambin; Nathalie Lassau; Martin O Leach; Ting-Yim Lee; Edward L Leen; Jason S Lewis; Yan Liu; Mark F Lythgoe; Prakash Manoharan; Ross J Maxwell; Kenneth A Miles; Bruno Morgan; Steve Morris; Tony Ng; Anwar R Padhani; Geoff J M Parker; Mike Partridge; Arvind P Pathak; Andrew C Peet; Shonit Punwani; Andrew R Reynolds; Simon P Robinson; Lalitha K Shankar; Ricky A Sharma; Dmitry Soloviev; Sigrid Stroobants; Daniel C Sullivan; Stuart A Taylor; Paul S Tofts; Gillian M Tozer; Marcel van Herk; Simon Walker-Samuel; James Wason; Kaye J Williams; Paul Workman; Thomas E Yankeelov; Kevin M Brindle; Lisa M McShane; Alan Jackson; John C Waterton
Journal:  Nat Rev Clin Oncol       Date:  2016-10-11       Impact factor: 66.675

Review 8.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

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Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

Review 9.  A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Howard H Feldman; Giovanni B Frisoni; Harald Hampel; William J Jagust; Keith A Johnson; David S Knopman; Ronald C Petersen; Philip Scheltens; Reisa A Sperling; Bruno Dubois
Journal:  Neurology       Date:  2016-07-01       Impact factor: 9.910

10.  The implications of different approaches to define AT(N) in Alzheimer disease.

Authors:  Niklas Mattsson-Carlgren; Antoine Leuzy; Shorena Janelidze; Sebastian Palmqvist; Erik Stomrud; Olof Strandberg; Ruben Smith; Oskar Hansson
Journal:  Neurology       Date:  2020-05-12       Impact factor: 9.910

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  28 in total

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3.  Blood-brain barrier link to human cognitive impairment and Alzheimer's Disease.

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Review 4.  Promising Blood Biomarkers for Clinical Use in Alzheimer's Disease: A Focused Update.

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5.  Establishment of combined diagnostic models of Alzheimer's disease in a Chinese cohort: the Chongqing Ageing & Dementia Study (CADS).

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Review 6.  Biofluid Biomarkers of Alzheimer's Disease: Progress, Problems, and Perspectives.

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8.  Dynamic changes of CSF sPDGFRβ during ageing and AD progression and associations with CSF ATN biomarkers.

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Review 10.  Recent Developments in Positron Emission Tomography Tracers for Proteinopathies Imaging in Dementia.

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