Literature DB >> 28319241

Alzheimer Disease Signature Neurodegeneration and APOE Genotype in Mild Cognitive Impairment With Suspected Non-Alzheimer Disease Pathophysiology.

Stefanie Schreiber1, Frank Schreiber2, Samuel N Lockhart3, Andy Horng3, Alexandre Bejanin4, Susan M Landau5, William J Jagust5.   

Abstract

Importance: There are conflicting results claiming that Alzheimer disease signature neurodegeneration may be more, less, or similarly advanced in individuals with β-amyloid peptide (Aβ)-negative (Aβ-) suspected non-Alzheimer disease pathophysiology (SNAP) than in Aβ-positive (Aβ+) counterparts. Objective: To examine patterns of neurodegeneration in individuals with SNAP compared with their Aβ+ counterparts. Design, Setting, and Participants: A longitudinal cohort study was conducted among individuals with mild cognitive impairment (MCI) and cognitively normal individuals receiving care at Alzheimer's Disease Neuroimaging Initiative sites in the United States and Canada for a mean follow-up period of 30.5 months from August 1, 2005, to June 30, 2015. Several neurodegeneration biomarkers and longitudinal cognitive function were compared between patients with distinct SNAP (Aβ- and neurodegeneration-positive [Aβ-N+]) subtypes and their Aβ+N+ counterparts. Main Outcomes and Measures: Participants were classified according to the results of their florbetapir F-18 (Aβ) positron emission tomography and their Alzheimer disease-associated neurodegeneration status (temporoparietal glucose metabolism determined by fluorodeoxyglucose F 18 [FDG]-labeled positron emission tomography and/or hippocampal volume [HV] determined by magnetic resonance imaging: participants with subthreshold HV values were regarded as exhibiting hippocampal volume atrophy [HV+], while subthreshold mean FDG values were considered as FDG hypometabolism [FDG+]).
Results: The study comprised 265 cognitively normal individuals (135 women and 130 men; mean [SD] age, 75.5 [6.7] years) and 522 patients with MCI (225 women and 297 men; mean [SD] age, 72.6 [7.8] years). A total of 469 individuals with MCI had data on neurodegeneration biomarkers; of these patients, 107 were Aβ-N+ (22.8%; 63 FDG+, 82 HV+, and 38 FDG+HV+) and 187 were Aβ+N+ (39.9%; 135 FDG+, 147 HV+, and 95 FDG+HV+ cases). A total of 209 cognitively normal participants had data on neurodegeneration biomarkers; of these, 52 were Aβ-N+ (24.9%; 30 FDG+, 33 HV+, and 11 FDG+HV+) and 37 were Aβ+N+ (17.7%; 22 FDG+, 26 HV+, and 11 FDG+HV+). Compared with their Aβ+ counterparts, all patients with MCI SNAP subtypes displayed better preservation of temporoparietal FDG metabolism (mean [SD] FDG: Aβ-N+, 1.25 [0.11] vs Aβ+N+, 1.19 [0.11]), less severe atrophy of the lateral temporal lobe, and lower mean (SD) cerebrospinal fluid levels of tau (59.2 [32.8] vs 111.3 [56.4]). In MCI with SNAP, sustained glucose metabolism and gray matter volume were associated with disproportionately low APOE ε4 (Aβ-N+, 18.7% vs Aβ+N+, 70.6%) and disproportionately high APOE ε2 (18.7% vs 4.8%) carrier prevalence. Slower cognitive decline and lower rates of progression to Alzheimer disease (Aβ-N+, 6.5% vs Aβ+N+, 32.6%) were also seen in patients with MCI with SNAP subtypes compared with their Aβ+ counterparts. In cognitively normal individuals, neurodegeneration biomarkers did not differ between Aβ-N+ and Aβ+N+ cases. Conclusions and Relevance: In MCI with SNAP, low APOE ε4 and high APOE ε2 carrier prevalence may account for differences in neurodegeneration patterns between Aβ-N+ and Aβ+N+ cases independent from the neuroimaging biomarker modality used to define neurodegeneration associated with Alzheimer disease.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28319241      PMCID: PMC5822210          DOI: 10.1001/jamaneurol.2016.5349

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


  45 in total

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

Authors:  Stephanie Jb Vos; Chengjie Xiong; Pieter Jelle Visser; Mateusz S Jasielec; Jason Hassenstab; Elizabeth A Grant; Nigel J Cairns; John C Morris; David M Holtzman; Anne M Fagan
Journal:  Lancet Neurol       Date:  2013-09-04       Impact factor: 44.182

2.  Impact of apolipoprotein E4-cerebrospinal fluid β-amyloid interaction on hippocampal volume loss over 1 year in mild cognitive impairment.

Authors:  Gloria C Chiang; Philip S Insel; Duygu Tosun; Norbert Schuff; Diana Truran-Sacrey; Sky T Raptentsetsang; Paul M Thompson; Eric M Reiman; Clifford R Jack; Nick C Fox; William J Jagust; Danielle J Harvey; Laurel A Beckett; Anthony Gamst; Paul S Aisen; Ron C Petersen; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2011-09       Impact factor: 21.566

3.  Cluster-extent based thresholding in fMRI analyses: pitfalls and recommendations.

Authors:  Choong-Wan Woo; Anjali Krishnan; Tor D Wager
Journal:  Neuroimage       Date:  2014-01-08       Impact factor: 6.556

4.  Association of hypometabolism and amyloid levels in aging, normal subjects.

Authors:  Val J Lowe; Stephen D Weigand; Matthew L Senjem; Prashanthi Vemuri; Lennon Jordan; Kejal Kantarci; Bradley Boeve; Clifford R Jack; David Knopman; Ronald C Petersen
Journal:  Neurology       Date:  2014-05-02       Impact factor: 9.910

5.  Amyloid negativity in patients with clinically diagnosed Alzheimer disease and MCI.

Authors:  Susan M Landau; Andy Horng; Allison Fero; William J Jagust
Journal:  Neurology       Date:  2016-03-11       Impact factor: 9.910

6.  Childhood socioeconomic status and adult brain size: childhood socioeconomic status influences adult hippocampal size.

Authors:  Roger T Staff; Alison D Murray; Trevor S Ahearn; Nazahan Mustafa; Helen C Fox; Lawrence J Whalley
Journal:  Ann Neurol       Date:  2012-05       Impact factor: 10.422

7.  Brain injury biomarkers are not dependent on β-amyloid in normal elderly.

Authors:  David S Knopman; Clifford R Jack; Heather J Wiste; Stephen D Weigand; Prashanthi Vemuri; Val J Lowe; Kejal Kantarci; Jeffrey L Gunter; Matthew L Senjem; Michelle M Mielke; Rosebud O Roberts; Bradley F Boeve; Ronald C Petersen
Journal:  Ann Neurol       Date:  2013-02-19       Impact factor: 10.422

8.  Association of Elevated Amyloid Levels With Cognition and Biomarkers in Cognitively Normal People From the Community.

Authors:  Ronald C Petersen; Heather J Wiste; Stephen D Weigand; Walter A Rocca; Rosebud O Roberts; Michelle M Mielke; Val J Lowe; David S Knopman; Vernon S Pankratz; Mary M Machulda; Yonas E Geda; Clifford R Jack
Journal:  JAMA Neurol       Date:  2016-01       Impact factor: 18.302

9.  APOE2 eases cognitive decline during Aging: Clinical and preclinical evaluations.

Authors:  Mitsuru Shinohara; Takahisa Kanekiyo; Longyu Yang; Duane Linthicum; Motoko Shinohara; Yuan Fu; Laura Price; Jessica L Frisch-Daiello; Xianlin Han; John D Fryer; Guojun Bu
Journal:  Ann Neurol       Date:  2016-03-29       Impact factor: 10.422

10.  Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50-89 years: a cross-sectional study.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Walter A Rocca; David S Knopman; Michelle M Mielke; Val J Lowe; Matthew L Senjem; Jeffrey L Gunter; Gregory M Preboske; Vernon S Pankratz; Prashanthi Vemuri; Ronald C Petersen
Journal:  Lancet Neurol       Date:  2014-09-04       Impact factor: 44.182

View more
  9 in total

1.  Network-wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum.

Authors:  Jane Stocks; Karteek Popuri; Ashley Heywood; Duygu Tosun; Kate Alpert; Mirza Faisal Beg; Howard Rosen; Lei Wang
Journal:  Alzheimers Dement (Amst)       Date:  2022-04-26

Review 2.  Neuroimaging of Alzheimer's disease: focus on amyloid and tau PET.

Authors:  Hiroshi Matsuda; Yoko Shigemoto; Noriko Sato
Journal:  Jpn J Radiol       Date:  2019-09-06       Impact factor: 2.374

3.  Cardiovascular Risk Factor Burden in Veterans and Non-Veterans with Parkinson Disease.

Authors:  Vikas Kotagal; Roger L Albin; Martijn L T M Müller; Nicolaas I Bohnen
Journal:  J Parkinsons Dis       Date:  2018       Impact factor: 5.568

4.  The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment.

Authors:  Annie M Racine; Michael Brickhouse; David A Wolk; Bradford C Dickerson
Journal:  Alzheimers Dement (Amst)       Date:  2018-03-17

Review 5.  Clinical Trials for Disease-Modifying Therapies in Alzheimer's Disease: A Primer, Lessons Learned, and a Blueprint for the Future.

Authors:  Jeffrey Cummings; Aaron Ritter; Kate Zhong
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

6.  Impact of Apolipoprotein E gene polymorphism during normal and pathological conditions of the brain across the lifespan.

Authors:  Diego Iacono; Gloria C Feltis
Journal:  Aging (Albany NY)       Date:  2019-01-24       Impact factor: 5.682

7.  Distinct Brain Functional Impairment Patterns Between Suspected Non-Alzheimer Disease Pathophysiology and Alzheimer's Disease: A Study Combining Static and Dynamic Functional Magnetic Resonance Imaging.

Authors:  Zheyu Li; Kaicheng Li; Xiao Luo; Qingze Zeng; Shuai Zhao; Baorong Zhang; Minming Zhang; Yanxing Chen
Journal:  Front Aging Neurosci       Date:  2020-11-23       Impact factor: 5.750

8.  The Synaptic Vesicle Protein 2A Interacts With Key Pathogenic Factors in Alzheimer's Disease: Implications for Treatment.

Authors:  Yanyan Kong; Lin Huang; Weihao Li; Xuanting Liu; Yinping Zhou; Cuiping Liu; Shibo Zhang; Fang Xie; Zhengwei Zhang; Donglang Jiang; Weiyan Zhou; Ruiqing Ni; Chencheng Zhang; Bomin Sun; Jiao Wang; Yihui Guan
Journal:  Front Cell Dev Biol       Date:  2021-07-01

9.  Defining SNAP by cross-sectional and longitudinal definitions of neurodegeneration.

Authors:  L E M Wisse; S R Das; C Davatzikos; B C Dickerson; S X Xie; P A Yushkevich; D A Wolk
Journal:  Neuroimage Clin       Date:  2018-02-08       Impact factor: 4.881

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.