Literature DB >> 27064267

Hypothetical Preclinical Alzheimer Disease Groups and Longitudinal Cognitive Change.

Anja Soldan1, Corinne Pettigrew1, Qing Cai2, Mei-Cheng Wang2, Abhay R Moghekar1, Richard J O'Brien3, Ola A Selnes1, Marilyn S Albert1.   

Abstract

IMPORTANCE: Clinical trials testing treatments for Alzheimer disease (AD) are increasingly focused on cognitively normal individuals in the preclinical phase of the disease. To optimize observing a treatment effect, such trials need to enroll cognitively normal individuals likely to show cognitive decline over the duration of the trial.
OBJECTIVE: To identify which group of cognitively normal individuals shows the greatest cognitive decline over time based on their cerebrospinal fluid biomarker profile. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, cognitively normal participants were classified into 1 of the following 4 hypothetical preclinical AD groups using baseline cerebrospinal fluid levels of Aβ and tau or Aβ and phosphorylated tau (p-tau): stage 0 (high Aβ and low tau), stage 1 (low Aβ and low tau), stage 2 (low Aβ and high tau), and suspected non-AD pathology (SNAP) (high Aβ and high tau). The data presented herein were collected between August 1995 and August 2014. MAIN OUTCOMES AND MEASURES: An a priori cognitive composite score based on the following 4 tests previously shown to predict progression from normal cognition to symptom onset of mild cognitive impairment or dementia: Paired Associates immediate recall, Logical Memory delayed recall, Boston Naming, and Digit-Symbol Substitution. Linear mixed-effects models were used to compare the cognitive composite scores across the 4 groups over time, adjusting for baseline age, sex, education, and their interactions with time.
RESULTS: Two hundred twenty-two cognitively normal participants were included in the analyses (mean follow-up, 11.0 years [range, 0-18.3 years] and mean baseline age, 56.9 years [range, 22.1-85.8 years]). Of these, 102 were stage 0, 46 were stage 1, 28 were stage 2, and 46 were SNAP. Individuals in stage 2 (low Aβ and high tau [or p-tau]) had lower baseline cognitive scores and a greater decline in the cognitive composite score relative to the other 3 groups (β ≤ -0.06 for all and P ≤ .001 for the rate of decline for all). Individuals in stage 0, stage 1, and SNAP did not differ from one another in cognitive performance at baseline or over time (11.0 years) and showed practice-related improvement in performance. The APOE ε4 genotype was not associated with baseline cognitive composite score or the rate of change in the cognitive composite score. CONCLUSIONS AND RELEVANCE: These results suggest that, to optimize observing a treatment effect, clinical trials enrolling cognitively normal individuals should selectively recruit participants with abnormal levels of both amyloid and tau (ie, stage 2) because this group would be expected to show the greatest cognitive decline over time if untreated.

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Year:  2016        PMID: 27064267      PMCID: PMC5173327          DOI: 10.1001/jamaneurol.2016.0194

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  41 in total

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2.  Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study.

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Journal:  Lancet Neurol       Date:  2013-09-04       Impact factor: 44.182

3.  Cross-sectional and longitudinal relationships between cerebrospinal fluid biomarkers and cognitive function in people without cognitive impairment from across the adult life span.

Authors:  Ge Li; Steven P Millard; Elaine R Peskind; Jing Zhang; Chang-En Yu; James B Leverenz; Cynthia Mayer; Jane S Shofer; Murray A Raskind; Joseph F Quinn; Douglas R Galasko; Thomas J Montine
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4.  Brain injury biomarkers are not dependent on β-amyloid in normal elderly.

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Journal:  Ann Neurol       Date:  2013-02-19       Impact factor: 10.422

5.  Alzheimer's disease neurodegenerative biomarkers are associated with decreased cognitive function but not β-amyloid in cognitively normal older individuals.

Authors:  Miranka Wirth; Cindee M Madison; Gil D Rabinovici; Hwamee Oh; Susan M Landau; William J Jagust
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6.  Neuropathology of cognitively normal elderly.

Authors:  D S Knopman; J E Parisi; A Salviati; M Floriach-Robert; B F Boeve; R J Ivnik; G E Smith; D W Dickson; K A Johnson; L E Petersen; W C McDonald; H Braak; R C Petersen
Journal:  J Neuropathol Exp Neurol       Date:  2003-11       Impact factor: 3.685

7.  The effect of amyloid β on cognitive decline is modulated by neural integrity in cognitively normal elderly.

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8.  Cognitive changes preceding clinical symptom onset of mild cognitive impairment and relationship to ApoE genotype.

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9.  Vascular and amyloid pathologies are independent predictors of cognitive decline in normal elderly.

Authors:  Prashanthi Vemuri; Timothy G Lesnick; Scott A Przybelski; David S Knopman; Greg M Preboske; Kejal Kantarci; Mekala R Raman; Mary M Machulda; Michelle M Mielke; Val J Lowe; Matthew L Senjem; Jeffrey L Gunter; Walter A Rocca; Rosebud O Roberts; Ronald C Petersen; Clifford R Jack
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10.  Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease.

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Review 2.  The National Institute on Aging and the Alzheimer's Association Research Framework for Alzheimer's disease: Perspectives from the Research Roundtable.

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Review 3.  Detectable Neuropsychological Differences in Early Preclinical Alzheimer's Disease: A Meta-Analysis.

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Journal:  Neuropsychol Rev       Date:  2017-05-11       Impact factor: 7.444

4.  Objective features of subjective cognitive decline in a United States national database.

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Journal:  Alzheimers Dement       Date:  2017-06-03       Impact factor: 21.566

Review 5.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

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Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

Review 6.  Conserved regulators of cognitive aging: From worms to humans.

Authors:  Rachel N Arey; Coleen T Murphy
Journal:  Behav Brain Res       Date:  2016-06-18       Impact factor: 3.332

7.  Entorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid Pathology.

Authors:  A A Thaker; B D Weinberg; W P Dillon; C P Hess; H J Cabral; D A Fleischman; S E Leurgans; D A Bennett; B T Hyman; M S Albert; R J Killiany; B Fischl; A M Dale; R S Desikan
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-09       Impact factor: 3.825

8.  Alzheimer's Disease Biomarkers and Future Decline in Cognitive Normal Older Adults.

Authors:  Julien Dumurgier; Bernard J Hanseeuw; Frances B Hatling; Kelly A Judge; Aaron P Schultz; Jasmeer P Chhatwal; Deborah Blacker; Reisa A Sperling; Keith A Johnson; Bradley T Hyman; Teresa Gómez-Isla
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

9.  Effects of amyloid pathology and neurodegeneration on cognitive change in cognitively normal adults.

Authors:  Murat Bilgel; Yang An; Jessica Helphrey; Wendy Elkins; Gabriela Gomez; Dean F Wong; Christos Davatzikos; Luigi Ferrucci; Susan M Resnick
Journal:  Brain       Date:  2018-08-01       Impact factor: 13.501

10.  Amyloid β Deposition and Suspected Non-Alzheimer Pathophysiology and Cognitive Decline Patterns for 12 Years in Oldest Old Participants Without Dementia.

Authors:  Yujing Zhao; Dana L Tudorascu; Oscar L Lopez; Ann D Cohen; Chester A Mathis; Howard J Aizenstein; Julie C Price; Lewis H Kuller; M Ilyas Kamboh; Steven T DeKosky; William E Klunk; Beth E Snitz
Journal:  JAMA Neurol       Date:  2018-01-01       Impact factor: 18.302

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