Literature DB >> 32368960

Cerebral Microhemorrhage at MRI in Mild Cognitive Impairment and Early Alzheimer Disease: Association with Tau and Amyloid β at PET Imaging.

Boris-Stephan Rauchmann1, Farhad Ghaseminejad1, Shailaja Mekala1, Robert Perneczky1.   

Abstract

Background Growing evidence indicates an association between cerebral microhemorrhages (MHs) and amyloid β accumulation in Alzheimer disease (AD), but to the knowledge of the authors the association with tau burden is unknown. Purpose To investigate the association between cerebral MH load and tau pathologic structure measured in healthy older individuals and individuals along the AD spectrum, stratified by using the A (amyloid β)/T (tau)/N (neurodegeneration) biomarker classification system. Materials and methods In this prospective cohort study, participants from the AD Neuroimaging Initiative were included (healthy control participants, participants with mild cognitive impairment, and participants with AD dementia; data from October 2005 to January 2019). T2*-weighted gradient-echo MRI was performed to quantify MH, fluorine 18 (18F) flortaucipir (AV-1451) PET was performed to quantify tau, and 18F-florbetaben/18F- florbetapir (AV45) PET was performed to quantify amyloid β to study associations of MH with regional and global tau and amyloid β load. Associations with cerebrospinal fluid (CSF) biomarkers (amyloid β1-42, total tau, phosphorylated tau 181) were also assessed. Analysis of covariance and Spearman rank correlation test for cross-sectional analysis and Wilcoxon signed rank test for longitudinal analyses were used, controlling for multiple comparisons (Bonferroni significance threshold, P < .008). Results Evaluated were 343 participants (mean age, 75 years ± 7; 186 women), including 205 participants who were A-TN- (mean age, 73 years ± 7; 115 women), 80 participants who were A+TN- (mean age, 76 years ± 7; 38 women), and 58 participants who were A+TN+ (mean age, 77 ± 8; 34 women). MH count was associated with global (Spearman ρ = 0.27; P = .004) and frontal (ρ = 0.27; P = .005) amyloid β load and global tau load (ρ = 0.31; P = .001). In a longitudinal analysis, MH count increased significantly over approximately 5 years in the entire cohort (T-1, 81 [range, 0-6 participants]; T0, 214 [range, 0-58 participants]; P < .001), in A+TN+ (T-1, 20 [range, 0-5 participants]; T0, 119 [range, 1-58 participants]; P < .001), A+TN- (T-1, 31 [range, 0-6 participants]; T0, 43 [range, 0-8 participants]; P = .03), and A-TN- (T-1, 30 [range, 0-4 participants]; T0, 52 [range, 0-6 participants]; P = .007). A higher MH count was associated with higher future global (ρ = 0.29; P = .008) and parietal (ρ = 0.31; P = .005) amyloid β and parietal tau load (ρ = 0.31; P = .005). Conclusion Cerebral microhemorrhage load is associated spatially with tau accumulation, both cross-sectionally and longitudinally. © RSNA, 2020 Online supplemental material is available for this article.

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Year:  2020        PMID: 32368960      PMCID: PMC7325705          DOI: 10.1148/radiol.2020191904

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  34 in total

1.  Spatial relation between microbleeds and amyloid deposits in amyloid angiopathy.

Authors:  Gregory A Dierksen; Maureen E Skehan; Muhammad A Khan; Jed Jeng; R N Kaveer Nandigam; John A Becker; Ashok Kumar; Krista L Neal; Rebecca A Betensky; Matthew P Frosch; Jonathan Rosand; Keith A Johnson; Anand Viswanathan; David H Salat; Steven M Greenberg
Journal:  Ann Neurol       Date:  2010-10       Impact factor: 10.422

2.  Interactive Associations of Vascular Risk and β-Amyloid Burden With Cognitive Decline in Clinically Normal Elderly Individuals: Findings From the Harvard Aging Brain Study.

Authors:  Jennifer S Rabin; Aaron P Schultz; Trey Hedden; Anand Viswanathan; Gad A Marshall; Emily Kilpatrick; Hannah Klein; Rachel F Buckley; Hyun-Sik Yang; Michael Properzi; Vaishnavi Rao; Dylan R Kirn; Kathryn V Papp; Dorene M Rentz; Keith A Johnson; Reisa A Sperling; Jasmeer P Chhatwal
Journal:  JAMA Neurol       Date:  2018-09-01       Impact factor: 18.302

3.  Association of Cerebral Microbleeds With Cognitive Decline and Dementia.

Authors:  Saloua Akoudad; Frank J Wolters; Anand Viswanathan; Renée F de Bruijn; Aad van der Lugt; Albert Hofman; Peter J Koudstaal; M Arfan Ikram; Meike W Vernooij
Journal:  JAMA Neurol       Date:  2016-08-01       Impact factor: 18.302

4.  Cerebral microbleeds: different prevalence, topography, and risk factors depending on dementia diagnosis—the Karolinska Imaging Dementia Study.

Authors:  S Shams; J Martola; T Granberg; X Li; M Shams; S M Fereshtehnejad; L Cavallin; P Aspelin; M Kristoffersen-Wiberg; L O Wahlund
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-18       Impact factor: 3.825

5.  Defining imaging biomarker cut points for brain aging and Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Jeffrey L Gunter; Matthew L Senjem; David T Jones; Kejal Kantarci; Mary M Machulda; Michelle M Mielke; Rosebud O Roberts; Prashanthi Vemuri; Denise A Reyes; Ronald C Petersen
Journal:  Alzheimers Dement       Date:  2016-09-30       Impact factor: 21.566

6.  18F-AV-1451 PET Imaging in Three Patients with Probable Cerebral Amyloid Angiopathy.

Authors:  Hee Jin Kim; Hanna Cho; David J Werring; Young Kyoung Jang; Yeo Jin Kim; Jin San Lee; Juyoun Lee; Soomin Jun; Seongbeom Park; Young Hoon Ryu; Jae Yong Choi; Young Seok Cho; Seung Hwan Moon; Duk L Na; Chul Hyoung Lyoo; Sang Won Seo
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

7.  Microbleed topography, leukoaraiosis, and cognition in probable Alzheimer disease from the Sunnybrook dementia study.

Authors:  Jacqueline A Pettersen; Gayathri Sathiyamoorthy; Fu-Qiang Gao; Gregory Szilagyi; Neelesh K Nadkarni; Peter St George-Hyslop; Ekaterina Rogaeva; Sandra E Black
Journal:  Arch Neurol       Date:  2008-06

Review 8.  Cerebral microbleeds: a guide to detection and interpretation.

Authors:  Steven M Greenberg; Meike W Vernooij; Charlotte Cordonnier; Anand Viswanathan; Rustam Al-Shahi Salman; Steven Warach; Lenore J Launer; Mark A Van Buchem; Monique Mb Breteler
Journal:  Lancet Neurol       Date:  2009-02       Impact factor: 44.182

9.  Amyloid PET imaging in Alzheimer's disease: a comparison of three radiotracers.

Authors:  S M Landau; B A Thomas; L Thurfjell; M Schmidt; R Margolin; M Mintun; M Pontecorvo; S L Baker; W J Jagust
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-20       Impact factor: 9.236

10.  Association Between Midlife Vascular Risk Factors and Estimated Brain Amyloid Deposition.

Authors:  Rebecca F Gottesman; Andrea L C Schneider; Yun Zhou; Josef Coresh; Edward Green; Naresh Gupta; David S Knopman; Akiva Mintz; Arman Rahmim; A Richey Sharrett; Lynne E Wagenknecht; Dean F Wong; Thomas H Mosley
Journal:  JAMA       Date:  2017-04-11       Impact factor: 56.272

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  2 in total

1.  Application of Dynamic Enhanced Magnetic Resonance Imaging in the Diagnosis of Hematological Malignancies.

Authors:  Yanping Shao; Xueping Bao; Caifang Song; Danping Cui
Journal:  J Healthc Eng       Date:  2021-12-23       Impact factor: 2.682

Review 2.  [Association between Cerebral Small Vessel and Alzheimer's Disease].

Authors:  Kyung Hoon Lee; Koung Mi Kang
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-05-25
  2 in total

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