scholarly journals Alzheimer’s disease biomarker roadmap 2020: Fluid biomarkers

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Nicholas J Ashton ◽  
Antoine Leuzy ◽  
Thomas K Karikari ◽  
Alessandra Dodich ◽  
Marina Boccardi ◽  
...  
2017 ◽  
Vol 57 (2) ◽  
pp. 387-393 ◽  
Author(s):  
Victor Bloniecki ◽  
Dag Aarsland ◽  
Kaj Blennow ◽  
Jeffrey Cummings ◽  
Farshad Falahati ◽  
...  

2015 ◽  
Vol 11 (7S_Part_7) ◽  
pp. P340-P340
Author(s):  
Henrietta Wellington ◽  
Ulrika Törnqvist ◽  
Erik Portelius ◽  
Ross W. Paterson ◽  
Nadia K. Magdalinou ◽  
...  

2012 ◽  
Vol 8 (4S_Part_2) ◽  
pp. P72-P72
Author(s):  
Kewei Chen ◽  
Adam Fleisher ◽  
Napatkamon Ayutyanont ◽  
Yakeel Quiroz ◽  
Sergio Alvarez ◽  
...  

2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Oriol Grau‐Rivera ◽  
Irene Navalpotro ◽  
Gonzalo Sánchez‐Benavides ◽  
Marc Suárez‐Calvet ◽  
Marta Milà‐Alomà ◽  
...  

2016 ◽  
Vol 64 (9) ◽  
pp. e29-e31
Author(s):  
Marcos Fernandez Suarez ◽  
Ezequiel I. Surace ◽  
Miguel Riudavets ◽  
Martin Nogues ◽  
Silvia Vazquez ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Catherine M. Calvin ◽  
◽  
Casper de Boer ◽  
Vanessa Raymont ◽  
John Gallacher ◽  
...  

Abstract Background The Amyloid/Tau/Neurodegeneration (ATN) framework has been proposed as a means of evidencing the biological state of Alzheimer’s disease (AD). Predicting ATN status in pre-dementia individuals therefore provides an important opportunity for targeted recruitment into AD interventional studies. We investigated the extent to which ATN-defined biomarker status can be predicted by known AD risk factors as well as vascular-related composite risk scores. Methods One thousand ten cognitively healthy older adults were allocated to one of five ATN-defined biomarker categories. Multinomial logistic regression tested risk factors including age, sex, education, APOE4, family history of dementia, cognitive function, vascular risk indices (high systolic blood pressure, body mass index (BMI), high cholesterol, physical inactivity, ever smoked, blood pressure medication, diabetes, prior cardiovascular disease, atrial fibrillation and white matter lesion (WML) volume), and three vascular-related composite scores, to predict five ATN subgroups; ROC curve models estimated their added value in predicting pathology. Results Age, APOE4, family history, BMI, MMSE and white matter lesions (WML) volume differed between ATN biomarker groups. Prediction of Alzheimer’s disease pathology (versus normal AD biomarkers) improved by 7% after adding family history, BMI, MMSE and WML to a ROC curve that included age, sex and APOE4. Risk composite scores did not add value. Conclusions ATN-defined Alzheimer’s disease biomarker status prediction among cognitively healthy individuals is possible through a combination of constitutional and cardiovascular risk factors but established dementia composite risk scores do not appear to add value in this context.


RSC Advances ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 2414-2421 ◽  
Author(s):  
Abdelmoneim Mars ◽  
Wicem Argoubi ◽  
Sami Ben Aoun ◽  
Noureddine Raouafi

ApoE Alzheimer's disease biomarker can be sensitively detected by a label-free platform using flexible ferrocene-terminated alkyl chains. The immunorecognition triggers conformational changes, which improve the rate constants of electron-transfer.


2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Gerard N. Bischof ◽  
Alessandra Dodich ◽  
Nicholas J Ashton ◽  
Marina Boccardi ◽  
Henryk Barthel ◽  
...  

2019 ◽  
Vol 15 ◽  
pp. P679-P679
Author(s):  
Jiqing Cao ◽  
Jianwei Hou ◽  
Li Zhu ◽  
Larry Zhang ◽  
Farida El Gaamouch ◽  
...  

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