Literature DB >> 33431793

Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer's disease.

Pratishtha Chatterjee1,2, Steve Pedrini2, Erik Stoops3, Kathryn Goozee1,2,4,5,6,7, Victor L Villemagne8, Prita R Asih1, Inge M W Verberk9, Preeti Dave1,5, Kevin Taddei2,10, Hamid R Sohrabi1,2,10,11, Henrik Zetterberg12,13,14,15, Kaj Blennow12,13, Charlotte E Teunissen9, Hugo M Vanderstichele16, Ralph N Martins17,18,19,20,21,22.   

Abstract

Glial fibrillary acidic protein (GFAP), an astrocytic cytoskeletal protein, can be measured in blood samples, and has been associated with Alzheimer's disease (AD). However, plasma GFAP has not been investigated in cognitively normal older adults at risk of AD, based on brain amyloid-β (Aβ) load. Cross-sectional analyses were carried out for plasma GFAP and plasma Aβ1-42/Aβ1-40 ratio, a blood-based marker associated with brain Aβ load, in participants (65-90 years) categorised into low (Aβ-, n = 63) and high (Aβ+, n = 33) brain Aβ load groups via Aβ positron emission tomography. Plasma GFAP, Aβ1-42, and Aβ1-40 were measured using the Single molecule array (Simoa) platform. Plasma GFAP levels were significantly higher (p < 0.00001), and plasma Aβ1-42/Aβ1-40 ratios were significantly lower (p < 0.005), in Aβ+ participants compared to Aβ- participants, adjusted for covariates age, sex, and apolipoprotein E-ε4 carriage. A receiver operating characteristic curve based on a logistic regression of the same covariates, the base model, distinguished Aβ+ from Aβ- (area under the curve, AUC = 0.78), but was outperformed when plasma GFAP was added to the base model (AUC = 0.91) and further improved with plasma Aβ1-42/Aβ1-40 ratio (AUC = 0.92). The current findings demonstrate that plasma GFAP levels are elevated in cognitively normal older adults at risk of AD. These observations suggest that astrocytic damage or activation begins from the pre-symptomatic stage of AD and is associated with brain Aβ load. Observations from the present study highlight the potential of plasma GFAP to contribute to a diagnostic blood biomarker panel (along with plasma Aβ1-42/Aβ1-40 ratios) for cognitively normal older adults at risk of AD.

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Year:  2021        PMID: 33431793      PMCID: PMC7801513          DOI: 10.1038/s41398-020-01137-1

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  49 in total

1.  The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Guy M McKhann; David S Knopman; Howard Chertkow; Bradley T Hyman; Clifford R Jack; Claudia H Kawas; William E Klunk; Walter J Koroshetz; Jennifer J Manly; Richard Mayeux; Richard C Mohs; John C Morris; Martin N Rossor; Philip Scheltens; Maria C Carrillo; Bill Thies; Sandra Weintraub; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

2.  Imaging Neuroinflammation: Quantification of Astrocytosis in a Multitracer PET Approach.

Authors:  Elena Rodriguez-Vieitez; Agneta Nordberg
Journal:  Methods Mol Biol       Date:  2018

3.  Cytoskeleton and vesicle mobility in astrocytes.

Authors:  Maja Potokar; Marko Kreft; Lizhen Li; J Daniel Andersson; Tina Pangrsic; Helena H Chowdhury; Milos Pekny; Robert Zorec
Journal:  Traffic       Date:  2007-01       Impact factor: 6.215

4.  Ultrasensitive Detection of Plasma Amyloid-β as a Biomarker for Cognitively Normal Elderly Individuals at Risk of Alzheimer's Disease.

Authors:  Pratishtha Chatterjee; Mitra Elmi; Kathryn Goozee; Tejal Shah; Hamid R Sohrabi; Cintia B Dias; Steve Pedrini; Kaikai Shen; Prita R Asih; Preeti Dave; Kevin Taddei; Hugo Vanderstichele; Henrik Zetterberg; Kaj Blennow; Ralph N Martins
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

5.  Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample.

Authors:  Heidi C Rossetti; Laura H Lacritz; C Munro Cullum; Myron F Weiner
Journal:  Neurology       Date:  2011-09-14       Impact factor: 9.910

Review 6.  Clearing the amyloid in Alzheimer's: progress towards earlier diagnosis and effective treatments - an update for clinicians.

Authors:  Prita R Asih; Pratishtha Chatterjee; Giuseppe Verdile; Veer B Gupta; Robert D Trengove; Ralph N Martins
Journal:  Neurodegener Dis Manag       Date:  2014

7.  GFAP mRNA increases with age in rat and human brain.

Authors:  N R Nichols; J R Day; N J Laping; S A Johnson; C E Finch
Journal:  Neurobiol Aging       Date:  1993 Sep-Oct       Impact factor: 4.673

Review 8.  Neurochemical regulation of the expression and function of glial fibrillary acidic protein in astrocytes.

Authors:  Dongyang Li; Xiaoyu Liu; Tianming Liu; Haitao Liu; Li Tong; Shuwei Jia; Yu-Feng Wang
Journal:  Glia       Date:  2019-10-18       Impact factor: 7.452

9.  Plasma biomarkers of astrocytic and neuronal dysfunction in early- and late-onset Alzheimer's disease.

Authors:  Fanny M Elahi; Kaitlin B Casaletto; Renaud La Joie; Samantha M Walters; Danielle Harvey; Amy Wolf; Lauren Edwards; Wilfredo Rivera-Contreras; Anna Karydas; Yann Cobigo; Howard J Rosen; Charles DeCarli; Bruce L Miller; Gil D Rabinovici; Joel H Kramer
Journal:  Alzheimers Dement       Date:  2020-01-16       Impact factor: 21.566

10.  Total Aβ42/Aβ40 ratio in plasma predicts amyloid-PET status, independent of clinical AD diagnosis.

Authors:  James D Doecke; Virginia Pérez-Grijalba; Noelia Fandos; Christopher Fowler; Victor L Villemagne; Colin L Masters; Pedro Pesini; Manuel Sarasa
Journal:  Neurology       Date:  2020-03-16       Impact factor: 9.910

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Journal:  Radiology       Date:  2021-10-12       Impact factor: 11.105

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3.  Hepatic and renal function impact concentrations of plasma biomarkers of neuropathology.

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4.  Homotypic fibrillization of TMEM106B across diverse neurodegenerative diseases.

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Journal:  Cell       Date:  2022-03-04       Impact factor: 66.850

5.  Nanoparticle-Enabled Enrichment of Longitudinal Blood Proteomic Fingerprints in Alzheimer's Disease.

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Review 6.  State-of-the-Art Methods and Emerging Fluid Biomarkers in the Diagnostics of Dementia-A Short Review and Diagnostic Algorithm.

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7.  Highly specific and ultrasensitive plasma test detects Abeta(1-42) and Abeta(1-40) in Alzheimer's disease.

Authors:  Elisabeth H Thijssen; Inge M W Verberk; Jeroen Vanbrabant; Anne Koelewijn; Hans Heijst; Philip Scheltens; Wiesje van der Flier; Hugo Vanderstichele; Erik Stoops; Charlotte E Teunissen
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Review 8.  Biofluid Biomarkers of Alzheimer's Disease: Progress, Problems, and Perspectives.

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Review 9.  Blood GFAP as an emerging biomarker in brain and spinal cord disorders.

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10.  Effects of pre-analytical procedures on blood biomarkers for Alzheimer's pathophysiology, glial activation, and neurodegeneration.

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