Literature DB >> 31350262

Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model.

Saffire H Krance1,2,3, Hugo Cogo-Moreira4,5, Jennifer S Rabin1, Sandra E Black1,2,6, Walter Swardfager7,2,3,8.   

Abstract

There is an urgent need to understand the relationships between amyloid-β (Aβ) and tau in the progression of Alzheimer's disease to identify treatment targets. Here we examine reciprocal predictions of brain Aβ burden quantified by positron emission tomography and CSF concentrations of Aβ42 and phosphorylated tau (p-tau). Each biomarker was examined over 48 months in two separate cross-lagged models; one in asymptomatic healthy elderly people (men and women), and one in patients with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI). The models examine predictions of each biomarker on the progression of the others, considering each previous and concurrent measure. In healthy elderly, lower CSF Aβ42 predicted Aβ deposition and reciprocally, Aβ burden predicted a decrease in CSF Aβ42. Lower CSF Aβ42 predicted an increase in CSF p-tau, and CSF p-tau predicted Aβ deposition. In AD/MCI, lower CSF Aβ42 predicted Aβ deposition and Aβ burden reciprocally predicted CSF Aβ42 changes; however, in contrast to healthy elderly, CSF p-tau concentrations did not predict Aβ biomarkers, or vice versa. In post hoc models examining cognitive status, CSF Aβ42 predicted Mini Mental State Examination (MMSE) scores in healthy elderly, whereas Aβ burden and CSF p-tau predicted MMSE scores in AD/MCI. The findings describe reciprocal predictions between Aβ and tau biomarkers in healthy elderly and they implicate mechanisms underlying low CSF Aβ42 in Alzheimer's disease pathogenesis and progression. In symptomatic Alzheimer's disease, CSF Aβ42 and Aβ deposition predicted each other; however, Aβ and CSF p-tau progressed independently and they independently predicted cognitive decline.SIGNIFICANCE STATEMENT This study offers empirical evidence concerning the hypothesized "amyloid cascade", as it progressed over 4 years in healthy elderly people and in Alzheimer's disease patients. In healthy elderly, CSF amyloid changes predicted amyloid deposition, CSF phosphorylated tau concentrations, and a decline in cognitive status. Phosphorylated tau concentrations specifically predicted amyloid deposition. In Alzheimer's disease patients, although amyloid deposition and CSF amyloid changes continued to "cascade", there was no evidence to suggest that amyloid and tau biomarkers predicted each other, although both amyloid deposition and CSF tau progression predicted cognitive decline independently. Taking advantage of repeated amyloid PET and CSF measures, this dynamic view offers new insight into the progression of Alzheimer's disease biomarkers and their relationships with cognitive decline.
Copyright © 2019 the authors.

Entities:  

Keywords:  CSF; PET; amyloid; biomarkers; tau

Mesh:

Substances:

Year:  2019        PMID: 31350262      PMCID: PMC6759020          DOI: 10.1523/JNEUROSCI.1056-19.2019

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  41 in total

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Authors:  P Giannakopoulos; F R Herrmann; T Bussière; C Bouras; E Kövari; D P Perl; J H Morrison; G Gold; P R Hof
Journal:  Neurology       Date:  2003-05-13       Impact factor: 9.910

2.  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

3.  Tau as a biomarker of neurodegenerative diseases.

Authors:  Susanna Schraen-Maschke; Nicolas Sergeant; Claire-Marie Dhaenens; Stéphanie Bombois; Vincent Deramecourt; Marie-Laure Caillet-Boudin; Florence Pasquier; Claude-Alain Maurage; Bernard Sablonnière; Eugeen Vanmechelen; Luc Buée
Journal:  Biomark Med       Date:  2008-08       Impact factor: 2.851

4.  Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer's disease.

Authors:  A Goate; M C Chartier-Harlin; M Mullan; J Brown; F Crawford; L Fidani; L Giuffra; A Haynes; N Irving; L James
Journal:  Nature       Date:  1991-02-21       Impact factor: 49.962

5.  Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease.

Authors:  P V Arriagada; J H Growdon; E T Hedley-Whyte; B T Hyman
Journal:  Neurology       Date:  1992-03       Impact factor: 9.910

6.  Cerebrospinal fluid {beta}-amyloid 42 and tau proteins as biomarkers of Alzheimer-type pathologic changes in the brain.

Authors:  Tero Tapiola; Irina Alafuzoff; Sanna-Kaisa Herukka; Laura Parkkinen; Päivi Hartikainen; Hilkka Soininen; Tuula Pirttilä
Journal:  Arch Neurol       Date:  2009-03

Review 7.  The amyloid hypothesis of Alzheimer's disease: progress and problems on the road to therapeutics.

Authors:  John Hardy; Dennis J Selkoe
Journal:  Science       Date:  2002-07-19       Impact factor: 47.728

Review 8.  Autophagy, amyloidogenesis and Alzheimer disease.

Authors:  Ralph A Nixon
Journal:  J Cell Sci       Date:  2007-12-01       Impact factor: 5.285

Review 9.  Linking Abeta and tau in late-onset Alzheimer's disease: a dual pathway hypothesis.

Authors:  Scott A Small; Karen Duff
Journal:  Neuron       Date:  2008-11-26       Impact factor: 17.173

10.  Cerebrospinal fluid tau and ptau(181) increase with cortical amyloid deposition in cognitively normal individuals: implications for future clinical trials of Alzheimer's disease.

Authors:  Anne M Fagan; Mark A Mintun; Aarti R Shah; Patricia Aldea; Catherine M Roe; Robert H Mach; Daniel Marcus; John C Morris; David M Holtzman
Journal:  EMBO Mol Med       Date:  2009-11       Impact factor: 12.137

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  9 in total

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Authors:  Jennifer S Rabin; Emma Nichols; Renaud La Joie; Kaitlin B Casaletto; Priya Palta; Kristen Dams-O'Connor; Raj G Kumar; Kristen M George; Claudia L Satizabal; Julie A Schneider; Judy Pa; Adam M Brickman
Journal:  Brain       Date:  2022-08-27       Impact factor: 15.255

2.  Association of CSF Aβ, amyloid PET, and cognition in cognitively unimpaired elderly adults.

Authors:  Tengfei Guo; Leslie M Shaw; John Q Trojanowski; William J Jagust; Susan M Landau
Journal:  Neurology       Date:  2020-08-05       Impact factor: 9.910

3.  Age, vascular disease, and Alzheimer's disease pathologies in amyloid negative elderly adults.

Authors:  Tengfei Guo; Susan M Landau; William J Jagust
Journal:  Alzheimers Res Ther       Date:  2021-10-15       Impact factor: 6.982

Review 4.  Epigenetics in Alzheimer's Disease.

Authors:  Xiaodie Gao; Qiang Chen; Hua Yao; Jie Tan; Zheng Liu; Yan Zhou; Zhenyou Zou
Journal:  Front Aging Neurosci       Date:  2022-06-23       Impact factor: 5.702

5.  Age-linked suppression of lipoxin A4 associates with cognitive deficits in mice and humans.

Authors:  Fabricio A Pamplona; Gabriela Vitória; Felipe K Sudo; Felipe C Ribeiro; Alinny R Isaac; Carolina A Moraes; Mariana G Chauvet; Pitia Flores Ledur; Karina Karmirian; Isis M Ornelas; Luciana M Leo; Bruna Paulsen; Gabriel Coutinho; Claudia Drummond; Naima Assunção; Bart Vanderborght; Claudio A Canetti; Hugo C Castro-Faria-Neto; Paulo Mattos; Sergio T Ferreira; Stevens K Rehen; Fernando A Bozza; Mychael V Lourenco; Fernanda Tovar-Moll
Journal:  Transl Psychiatry       Date:  2022-10-10       Impact factor: 7.989

6.  Spatial Relationships between Molecular Pathology and Neurodegeneration in the Alzheimer's Disease Continuum.

Authors:  Leonardo Iaccarino; Renaud La Joie; Lauren Edwards; Amelia Strom; Daniel R Schonhaut; Rik Ossenkoppele; Julie Pham; Taylor Mellinger; Mustafa Janabi; Suzanne L Baker; David Soleimani-Meigooni; Howard J Rosen; Bruce L Miller; William J Jagust; Gil D Rabinovici
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

Review 7.  Flavonoid-Based Nanomedicines in Alzheimer's Disease Therapeutics: Promises Made, a Long Way To Go.

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Journal:  ACS Pharmacol Transl Sci       Date:  2021-01-27

8.  Subtle cognitive impairment as a marker of Alzheimer's pathologies and clinical progression in cognitively normal individuals.

Authors:  Xue-Ning Shen; Kevin Kuo; Yu-Xiang Yang; Hong-Qi Li; Shi-Dong Chen; Mei Cui; Lan Tan; Qiang Dong; Jin-Tai Yu
Journal:  Alzheimers Dement (Amst)       Date:  2021-05-27

9.  Multiple markers contribute to risk of progression from normal to mild cognitive impairment.

Authors:  Jennifer S Rabin; Taylor E Neal; Hannah E Nierle; Sietske A M Sikkes; Rachel F Buckley; Rebecca E Amariglio; Kathryn V Papp; Dorene M Rentz; Aaron P Schultz; Keith A Johnson; Reisa A Sperling; Trey Hedden
Journal:  Neuroimage Clin       Date:  2020-08-28       Impact factor: 4.881

  9 in total

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