Literature DB >> 23797806

Selective worsening of brain injury biomarker abnormalities in cognitively normal elderly persons with β-amyloidosis.

David S Knopman1, 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.   

Abstract

IMPORTANCE: The appearance of β-amyloidosis and brain injury biomarkers in cognitively normal (CN) persons is thought to define risk for the future development of cognitive impairment due to Alzheimer disease (AD), but their interaction is poorly understood.
OBJECTIVE: To test the hypothesis that the joint presence of β-amyloidosis and brain injury biomarkers would lead to more rapid neurodegeneration. DESIGN Longitudinal cohort study.
SETTING: Population-based Mayo Clinic Study of Aging. PARTICIPANTS: One hundred ninety-one CN persons (median age, 77 years; range, 71-93 years) in the Mayo Clinic Study of Aging who underwent magnetic resonance, fludeoxyglucose F 18 (FDG) positron emission tomography (PET), and Pittsburgh Compound B (PiB) PET imaging at least twice 15 months apart. Participants were grouped according to the recommendations of the National Institute on Aging-Alzheimer Association preclinical AD criteria based on the presence of β-amyloidosis, defined as a PiB PET standardized uptake value ratio (SUVr) greater than 1.5, alone (stage 1) or with brain injury (stage 2 + 3), defined as hippocampal atrophy or FDG hypometabolism. We also studied a group of patients with mild cognitive impairment (n = 17) or dementia (n = 9) from the Mayo Clinic Study of Aging or the Mayo Alzheimer Center with similar follow-up times who had undergone comparable imaging and had a PiB PET SUVr greater than 1.5. MAIN OUTCOMES AND MEASURES: Rate of change of cortical volume on volumetric magnetic resonance images and rate of change of glucose metabolism on FDG PET scan results.
RESULTS: There were 25 CN participants with both high PiB retention and low hippocampal volume or FDG hypometabolism at baseline (preclinical AD stages 2 + 3). On follow-up scans, the preclinical AD stage 2 + 3 participants had greater loss of medial temporal lobe volume and greater glucose hypometabolism in the medial temporal lobe compared with the other CN groups. The changes were similar to those in the cognitively impaired participants. Extratemporal regions did not show similar changes. CONCLUSIONS AND RELEVANCE: Higher rates of medial temporal neurodegeneration occur in CN individuals who, on their initial scans, had abnormal levels of both β-amyloid and brain injury biomarkers. Although preclinical AD is currently only a research topic, the description of its brain structural changes will be critical for trials designed to prevent or forestall dementia due to AD.

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Year:  2013        PMID: 23797806      PMCID: PMC3884555          DOI: 10.1001/jamaneurol.2013.182

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


  46 in total

1.  Tangles and plaques in nondemented aging and "preclinical" Alzheimer's disease.

Authors:  J L Price; J C Morris
Journal:  Ann Neurol       Date:  1999-03       Impact factor: 10.422

2.  Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI.

Authors:  C R Jack; M M Shiung; S D Weigand; P C O'Brien; J L Gunter; B F Boeve; D S Knopman; G E Smith; R J Ivnik; E G Tangalos; R C Petersen
Journal:  Neurology       Date:  2005-10-25       Impact factor: 9.910

3.  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

4.  Brain structural alterations before mild cognitive impairment.

Authors:  C D Smith; H Chebrolu; D R Wekstein; F A Schmitt; G A Jicha; G Cooper; W R Markesbery
Journal:  Neurology       Date:  2007-04-17       Impact factor: 9.910

5.  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

6.  MR-based hippocampal volumetry in the diagnosis of Alzheimer's disease.

Authors:  C R Jack; R C Petersen; P C O'Brien; E G Tangalos
Journal:  Neurology       Date:  1992-01       Impact factor: 9.910

7.  11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment.

Authors:  Clifford R Jack; Val J Lowe; Matthew L Senjem; Stephen D Weigand; Bradley J Kemp; Maria M Shiung; David S Knopman; Bradley F Boeve; William E Klunk; Chester A Mathis; Ronald C Petersen
Journal:  Brain       Date:  2008-02-07       Impact factor: 13.501

8.  Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD.

Authors:  C R Jack; M M Shiung; J L Gunter; P C O'Brien; S D Weigand; D S Knopman; B F Boeve; R J Ivnik; G E Smith; R H Cha; E G Tangalos; R C Petersen
Journal:  Neurology       Date:  2004-02-24       Impact factor: 9.910

9.  Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study.

Authors:  Basil H Ridha; Josephine Barnes; Jonathan W Bartlett; Alison Godbolt; Tracey Pepple; Martin N Rossor; Nick C Fox
Journal:  Lancet Neurol       Date:  2006-10       Impact factor: 44.182

10.  Assessing the onset of structural change in familial Alzheimer's disease.

Authors:  Jonathan M Schott; Nick C Fox; Chris Frost; Rachael I Scahill; John C Janssen; Dennis Chan; Rhian Jenkins; Martin N Rossor
Journal:  Ann Neurol       Date:  2003-02       Impact factor: 10.422

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  47 in total

1.  Mapping 3-year changes in gray matter and metabolism in Aβ-positive nondemented subjects.

Authors:  Miguel Ángel Araque Caballero; Matthias Brendel; Andreas Delker; Jinyi Ren; Axel Rominger; Peter Bartenstein; Martin Dichgans; Michael W Weiner; Michael Ewers
Journal:  Neurobiol Aging       Date:  2015-08-18       Impact factor: 4.673

Review 2.  Suspected non-Alzheimer disease pathophysiology--concept and controversy.

Authors:  Clifford R Jack; David S Knopman; Gaël Chételat; Dennis Dickson; Anne M Fagan; Giovanni B Frisoni; William Jagust; Elizabeth C Mormino; Ronald C Petersen; Reisa A Sperling; Wiesje M van der Flier; Victor L Villemagne; Pieter J Visser; Stephanie J B Vos
Journal:  Nat Rev Neurol       Date:  2016-01-18       Impact factor: 42.937

3.  Relationships Between Executive Control Circuit Activity, Amyloid Burden, and Education in Cognitively Healthy Older Adults.

Authors:  Helmet T Karim; Dana L Tudorascu; Ann Cohen; Julie C Price; Brian Lopresti; Chester Mathis; William Klunk; Beth E Snitz; Howard J Aizenstein
Journal:  Am J Geriatr Psychiatry       Date:  2019-07-19       Impact factor: 4.105

4.  Emerging β-amyloid pathology and accelerated cortical atrophy.

Authors:  Niklas Mattsson; Philip S Insel; Rachel Nosheny; Duygu Tosun; John Q Trojanowski; Leslie M Shaw; Clifford R Jack; Michael C Donohue; Michael W Weiner
Journal:  JAMA Neurol       Date:  2014-06       Impact factor: 18.302

5.  Amyloid deposition is linked to aberrant entorhinal activity among cognitively normal older adults.

Authors:  Willem Huijbers; Elizabeth C Mormino; Sarah E Wigman; Andrew M Ward; Patrizia Vannini; Donald G McLaren; J Alex Becker; Aaron P Schultz; Trey Hedden; Keith A Johnson; Reisa A Sperling
Journal:  J Neurosci       Date:  2014-04-09       Impact factor: 6.167

Review 6.  Role of HIV in amyloid metabolism.

Authors:  Mario Ortega; Beau M Ances
Journal:  J Neuroimmune Pharmacol       Date:  2014-05-10       Impact factor: 4.147

Review 7.  Is amyloid-β harmful to the brain? Insights from human imaging studies.

Authors:  William Jagust
Journal:  Brain       Date:  2015-11-27       Impact factor: 13.501

8.  Evolution of neurodegeneration-imaging biomarkers from clinically normal to dementia in the Alzheimer disease spectrum.

Authors:  David S Knopman; Clifford R Jack; Emily S Lundt; Stephen D Weigand; Prashanthi Vemuri; Val J Lowe; Kejal Kantarci; Jeffrey L Gunter; Matthew L Senjem; Michelle M Mielke; Mary M Machulda; Rosebud O Roberts; Bradley F Boeve; David T Jones; Ronald C Petersen
Journal:  Neurobiol Aging       Date:  2016-06-16       Impact factor: 4.673

9.  Amyloid-β deposition and regional grey matter atrophy rates in dementia with Lewy bodies.

Authors:  Lidia Sarro; Matthew L Senjem; Emily S Lundt; Scott A Przybelski; Timothy G Lesnick; Jonathan Graff-Radford; Bradley F Boeve; Val J Lowe; Tanis J Ferman; David S Knopman; Giancarlo Comi; Massimo Filippi; Ronald C Petersen; Clifford R Jack; Kejal Kantarci
Journal:  Brain       Date:  2016-07-24       Impact factor: 13.501

Review 10.  Biomarker modeling of Alzheimer's disease.

Authors:  Clifford R Jack; David M Holtzman
Journal:  Neuron       Date:  2013-12-18       Impact factor: 17.173

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