Literature DB >> 19346482

Fibrillar amyloid-beta burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease.

Eric M Reiman1, Kewei Chen, Xiaofen Liu, Daniel Bandy, Meixiang Yu, Wendy Lee, Napatkamon Ayutyanont, Jennifer Keppler, Stephanie A Reeder, Jessica B S Langbaum, Gene E Alexander, William E Klunk, Chester A Mathis, Julie C Price, Howard J Aizenstein, Steven T DeKosky, Richard J Caselli.   

Abstract

Fibrillar amyloid-beta (Abeta) is found in the brains of many cognitively normal older people. Whether or not this reflects a predisposition to Alzheimer's disease (AD) is unknown. We used Pittsburgh Compound B (PiB) PET to characterize the relationship between fibrillar Abeta burden and this predisposition in cognitively normal older people at 3 mean levels of genetic risk for AD. Dynamic PiB PET scans, the Logan method, statistical parametric mapping, and automatically labeled regions of interest (ROIs) were used to characterize and compare cerebral-to-cerebellar PIB distribution volume ratios, reflecting fibrillar Abeta burden, in 28 cognitively normal persons (mean age, 64 years) with a reported family history of AD and 2 copies, 1 copy, and no copies of the apolipoprotein E (APOE) epsilon4 allele. The 8 epsilon4 homozygotes, 8 heterozygotes, and 12 noncarriers did not differ significantly in terms of age, sex, or cognitive scores. Fibrillar Abeta was significantly associated with APOE epsilon4 carrier status and epsilon4 gene dose in AD-affected mean cortical, frontal, temporal, posterior cingulate-precuneus, parietal, and basal ganglia ROIs, and was highest in an additional homozygote who had recently developed mild cognitive impairment. These findings suggest that fibrillar Abeta burden in cognitively normal older people is associated with APOE epsilon4 gene dose, the major genetic risk factor for AD. Additional studies are needed to track fibrillar Abeta accumulation in persons with different kinds and levels of AD risk; to determine the extent to which fibrillar Abeta, alone or in combination with other biomarkers and risk factors, predicts rates of cognitive decline and conversion to clinical AD; and to establish the role of fibrillar Abeta imaging in primary prevention trials.

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Year:  2009        PMID: 19346482      PMCID: PMC2665196          DOI: 10.1073/pnas.0900345106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

1.  Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis.

Authors:  Brian J Lopresti; William E Klunk; Chester A Mathis; Jessica A Hoge; Scott K Ziolko; Xueling Lu; Carolyn C Meltzer; Kurt Schimmel; Nicholas D Tsopelas; Steven T DeKosky; Julie C Price
Journal:  J Nucl Med       Date:  2005-12       Impact factor: 10.057

2.  Correlations between apolipoprotein E epsilon4 gene dose and brain-imaging measurements of regional hypometabolism.

Authors:  Eric M Reiman; Kewei Chen; Gene E Alexander; Richard J Caselli; Daniel Bandy; David Osborne; Ann M Saunders; John Hardy
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-02       Impact factor: 11.205

3.  [11C]PIB in a nondemented population: potential antecedent marker of Alzheimer disease.

Authors:  M A Mintun; G N Larossa; Y I Sheline; C S Dence; S Y Lee; R H Mach; W E Klunk; C A Mathis; S T DeKosky; J C Morris
Journal:  Neurology       Date:  2006-08-08       Impact factor: 9.910

4.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.

Authors:  Anne M Fagan; Mark A Mintun; Robert H Mach; Sang-Yoon Lee; Carmen S Dence; Aarti R Shah; Gina N LaRossa; Michael L Spinner; William E Klunk; Chester A Mathis; Steven T DeKosky; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2006-03       Impact factor: 10.422

5.  Neuropathology of older persons without cognitive impairment from two community-based studies.

Authors:  D A Bennett; J A Schneider; Z Arvanitakis; J F Kelly; N T Aggarwal; R C Shah; R S Wilson
Journal:  Neurology       Date:  2006-06-27       Impact factor: 9.910

6.  Cerebrospinal fluid beta-amyloid1-42 and tau in control subjects at risk for Alzheimer's disease: the effect of APOE epsilon4 allele.

Authors:  Trey Sunderland; Nadeem Mirza; Karen T Putnam; Gary Linker; Deepa Bhupali; Rob Durham; Holly Soares; Lida Kimmel; David Friedman; Judy Bergeson; Gyorgy Csako; James A Levy; John J Bartko; Robert M Cohen
Journal:  Biol Psychiatry       Date:  2004-11-01       Impact factor: 13.382

7.  Efficacy of rosiglitazone in a genetically defined population with mild-to-moderate Alzheimer's disease.

Authors:  M E Risner; A M Saunders; J F B Altman; G C Ormandy; S Craft; I M Foley; M E Zvartau-Hind; D A Hosford; A D Roses
Journal:  Pharmacogenomics J       Date:  2006-01-31       Impact factor: 3.550

8.  Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound-B.

Authors:  Julie C Price; William E Klunk; Brian J Lopresti; Xueling Lu; Jessica A Hoge; Scott K Ziolko; Daniel P Holt; Carolyn C Meltzer; Steven T DeKosky; Chester A Mathis
Journal:  J Cereb Blood Flow Metab       Date:  2005-11       Impact factor: 6.200

9.  Preclinical evidence of Alzheimer's disease in persons homozygous for the epsilon 4 allele for apolipoprotein E.

Authors:  E M Reiman; R J Caselli; L S Yun; K Chen; D Bandy; S Minoshima; S N Thibodeau; D Osborne
Journal:  N Engl J Med       Date:  1996-03-21       Impact factor: 91.245

10.  Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium.

Authors:  L A Farrer; L A Cupples; J L Haines; B Hyman; W A Kukull; R Mayeux; R H Myers; M A Pericak-Vance; N Risch; C M van Duijn
Journal:  JAMA       Date:  1997 Oct 22-29       Impact factor: 56.272

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  377 in total

1.  Amyloid-beta plaque growth in cognitively normal adults: longitudinal [11C]Pittsburgh compound B data.

Authors:  Andrei G Vlassenko; Mark A Mintun; Chengjie Xiong; Yvette I Sheline; Alison M Goate; Tammie L S Benzinger; John C Morris
Journal:  Ann Neurol       Date:  2011-11       Impact factor: 10.422

Review 2.  The concept of FDG-PET endophenotype in Alzheimer's disease.

Authors:  Emmanuel H During; R S Osorio; F M Elahi; L Mosconi; M J de Leon
Journal:  Neurol Sci       Date:  2011-06-01       Impact factor: 3.307

Review 3.  Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia.

Authors:  William E Klunk
Journal:  Neurobiol Aging       Date:  2011-12       Impact factor: 4.673

4.  Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Reisa A Sperling; Paul S Aisen; Laurel A Beckett; David A Bennett; Suzanne Craft; Anne M Fagan; Takeshi Iwatsubo; Clifford R Jack; Jeffrey Kaye; Thomas J Montine; Denise C Park; Eric M Reiman; Christopher C Rowe; Eric Siemers; Yaakov Stern; Kristine Yaffe; Maria C Carrillo; Bill Thies; Marcelle Morrison-Bogorad; Molly V Wagster; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

5.  Gray matter network associated with risk for Alzheimer's disease in young to middle-aged adults.

Authors:  Gene E Alexander; Kaitlin L Bergfield; Kewei Chen; Eric M Reiman; Krista D Hanson; Lan Lin; Daniel Bandy; Richard J Caselli; James R Moeller
Journal:  Neurobiol Aging       Date:  2012-03-08       Impact factor: 4.673

Review 6.  Mild cognitive impairment: pathology and mechanisms.

Authors:  Elliott J Mufson; Lester Binder; Scott E Counts; Steven T DeKosky; Leyla de Toledo-Morrell; Stephen D Ginsberg; Milos D Ikonomovic; Sylvia E Perez; Stephen W Scheff
Journal:  Acta Neuropathol       Date:  2011-11-19       Impact factor: 17.088

7.  Association Between Midlife Risk Factors and Late-Onset Epilepsy: Results From the Atherosclerosis Risk in Communities Study.

Authors:  Emily L Johnson; Gregory L Krauss; Alexandra K Lee; Andrea L C Schneider; Jennifer L Dearborn; Anna M Kucharska-Newton; Juebin Huang; Alvaro Alonso; Rebecca F Gottesman
Journal:  JAMA Neurol       Date:  2018-11-01       Impact factor: 18.302

8.  ApoE4 Accelerates Early Seeding of Amyloid Pathology.

Authors:  Chia-Chen Liu; Na Zhao; Yuan Fu; Na Wang; Cynthia Linares; Chih-Wei Tsai; Guojun Bu
Journal:  Neuron       Date:  2017-12-06       Impact factor: 17.173

Review 9.  Dyslipidemia and the risk of Alzheimer's disease.

Authors:  Christiane Reitz
Journal:  Curr Atheroscler Rep       Date:  2013-03       Impact factor: 5.113

10.  Brain imaging of cognitively normal individuals with 2 parents affected by late-onset AD.

Authors:  Lisa Mosconi; John Murray; Wai H Tsui; Yi Li; Nicole Spector; Alexander Goldowsky; Schantel Williams; Ricardo Osorio; Pauline McHugh; Lidia Glodzik; Shankar Vallabhajosula; Mony J de Leon
Journal:  Neurology       Date:  2014-02-12       Impact factor: 9.910

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