Abstract
Background: Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer's disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. Methods: We evaluated plasma, serum, and cerebrospinal fluid (CSF) GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Results: Plasma GFAP elevations appear a decade before expected symptom onset, after amyloid beta (Aβ) accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished Aβ-positive from Aβ-negative ADAD participants and showed a stronger relationship with Aβ load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Conclusion: Our findings support a role for plasma GFAP as a clinical biomarker of Aβ-related astrocyte reactivity that is associated with cognitive decline and neurodegeneration. Highlights: Plasma glial fibrillary acidic protein (GFAP) elevations appear a decade before expected symptom onset in autosomal dominant Alzheimer's disease (ADAD). Plasma GFAP was associated to amyloid positivity in asymptomatic ADAD. Plasma GFAP increased with clinical severity and predicted disease progression. Plasma and serum GFAP carried similar information in ADAD, while cerebrospinal fluid GFAP did not.
Original language | English |
---|---|
Pages (from-to) | 2790-2804 |
Number of pages | 15 |
Journal | Alzheimer's and Dementia |
Volume | 19 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2023 |
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In: Alzheimer's and Dementia, Vol. 19, No. 7, 07.2023, p. 2790-2804.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer's disease
T2 - Associations with Aβ-PET, neurodegeneration, and cognition
AU - and the Dominantly Inherited Alzheimer Network
AU - Chatterjee, Pratishtha
AU - Vermunt, Lisa
AU - Gordon, Brian A.
AU - Pedrini, Steve
AU - Boonkamp, Lynn
AU - Armstrong, Nicola J.
AU - Xiong, Chengjie
AU - Singh, Abhay K.
AU - Li, Yan
AU - Sohrabi, Hamid R.
AU - Taddei, Kevin
AU - Molloy, Mark
AU - Benzinger, Tammie L.S.
AU - Morris, John C.
AU - Karch, Celeste
AU - Berman, Sarah
AU - Chhatwal, Jasmeer
AU - Cruchaga, Carlos
AU - Graff-Radford, Neill R.
AU - Day, Gregory S.
AU - Farlow, Martin
AU - Fox, Nick
AU - Goate, Alison
AU - Hassenstab, Jason
AU - Lee, Jae Hong
AU - Levin, Johannes
AU - McDade, Eric
AU - Mori, Hiroshi
AU - Perrin, Richard
AU - Sanchez-Valle, Raquel
AU - Schofield, Peter R.
AU - Levey, Allan
AU - Jucker, Mathias
AU - Masters, Colin L.
AU - Fagan, Anne M.
AU - Bateman, Randall J.
AU - Martins, Ralph N.
AU - Teunissen, Charlotte
N1 - Funding Information: All authors report no conflicts of interest related to this manuscript. These are the disclosures per author: Pratishtha Chatterjee has nothing to disclose; Lisa Vermunt received grants from ZonMw, Alzheimer Nederland, and OLINK, paid to her institution, and consultancy fees for Roche, paid to her institution. Brian A. Gordon has nothing to disclose. Steve Pedrini has nothing to disclose. Lynn Boonkamp has nothing to disclose. Nicola J. Armstrong has nothing to disclose. Chengjie Xiong has received grants or contracts from NIH and consulting fees from DIADEM. He participated on a Data Safety Monitoring Board or Advisory Board for the FDA Medical Imaging Drug Advisory Committee. He also serves on the External Advisory Committee for University of Wisconsin Alzheimer Disease Research Center. Abhay K. Singh has nothing to disclose. Yan Li has nothing to disclose. Hamid R. Sohrabi received funding from Alnylam, Biogen, Australian Alzheimer's Research Foundation , Medical Research Future Fund‐Australia (AU‐ARROW and SenseCog), NIH Subcontract and other financial interests as director of Memory Clinic SMarT Minds WA and Rater for Alector Pharma. Kevin Taddei has nothing to disclose. Mark Molloy has nothing to disclose. Tammie L. Benzinger has grants to her institution from NIH, and received personal payments from Biogen and Eisai. She has participated on a Data Safety Monitoring Board or Advisory Board for Biogen (payments made to her). She has received Precursor for flortaucipir from Avid Radiopharmaceuticals. John C. Morris has received National Institutes of Health (NIH) grants, royalties or licenses for Clinical Dementia Rating (CDR) registration, consulting fees from Barcelona BetaBrain Research Center and from Centre for Brain Research, Bangalore, India. He has received payment or honoraria from Montefiore, New York Grand Rounds. He has received support for attending meetings and/or travel from TS Srinavasan 40th Oration, India; World Congress of Neurology; Cure Alzheimer Board meeting; and CBR International Advisory Board. He has held a leadership or fiduciary role in Cure Alzheimer Board Meeting. Celeste M. Karch has nothing to disclose. Sarah Berman has nothing to disclose. Jasmeer P. Chhatwal has received grants or contracts from NIH and Doris Duke Charitable Foundation Career Dev Award to his institution. He has received support for attending meetings and/or travel from NIH and Doris Duke Charitable Foundation. Carlos Cruchaga has nothing to disclose. Neill R. Graff‐Radford has nothing to disclose. Gregory S. Day reports grant funding NIH/NIA (K23AG064029) and expert testimony Barrow Law, Clinical Director of the Anti‐NMDA Receptor Foundation, stock Parabon Nanolabs, Inc. Martin R. Farlow is a coinventor for US Patent No. 6184435 (does not relate to this manuscript). He has received consulting fees from Avanir, Biogen, Eli Lilly & Company, Cognition Therapeutics, Longeveron, Otsuka Proclara Therapeutics, Lexeo, Ionis, McClena, and Athira. He has received payment for expert testimony: confidential. Nick Fox: His institution has received payments from Ixico for the use of the Boundary Shift Intergral. He has provided consultancy for Eli Lilly and for Ionis (payments were to his institution). He has participated on advisory boards for Roche and Biogen (payment was to his institution). He has served on a DSMB for Biogen (payment was to him). Alison Goate has received NIH grants and grants or contracts from Rainwater Charitable Foundation, Picower Foundation, Neurodegeneration Consortium. She has received royalties or licenses from Taconic, Athena Diagnostics. She has received consulting fees from Genentech, UK DRI, VIB centers in Antwerp and Leuven. She has received personal honoraria for presentations from Eisai, GSK, AbbVie. Jason Hassenstab has received several NIH grants, payments to institution from BrightFocus foundation and personal consulting fees from Roche. He has participated on a Data Safety Monitoring Board or Advisory Board for Eisai. Payments were made to him. Jae‐Hong Lee has nothing to disclose. Johannes Levin reports speaker fees from Bayer Vital, Biogen, and Roche; consulting fees from Axon Neuroscience and Biogen; author fees from Thieme medical publishers and W. Kohlhammer GmbH medical publishers; non‐financial support from Abbvie; and compensation for duty as part‐time CMO from MODAG, outside the submitted work. Eric McDade has received grants or contracts from National Institutes of Health, Janssen, Eli Lilly, and Roche. He has received royalties or licenses from UpToDate. He has received personal consulting fees from: DSMB Eli Lilly, DSMB Alzamend, and Fondation Alzheimer. He has received payment or honoraria from Eisai (personal payment). He has received personal support for attending meetings and/or travel from Fondation Alzheimer Association. He has had any patents planned, issued, or pending: Novel Tau isoforms to predict onset of symptoms and dementia in Alzheimer's disease. He has participated on a Data Safety Monitoring Board or Advisory Board: see above. Hiroshi Mori reports a grant for DIAN‐J by AMED (Japanese Government). Takeshi Ikeuchi has received grants by AMED. He has received honoraria for lectures from Eisai, Daiichi‐Sankyo, Ono, Takeda, and Ajinomoto. Kazushi Suzuki has nothing to disclose. Richard J. Perrin has received grants or contracts from NIH. Gregory Day has received grants to institution: K23AG064029 (NIH/NIA), Chan Zuckerberg Initiative (Neurodegeneration Challenge Network; WU‐20‐421), Alzheimer's Association (LDRFP‐21‐824473). He has received personal payments: DynaMED (Topic Editor, Dementia), Parabon Nanolabs (Consulting for NIA SBAR Grant) Texas Neurological Institute, Continuing Education Company, Barrow Law. He has held a leadership or fiduciary role in Anti‐NMDA Receptor Encephalitis Foundation, Inc. Raquel Sanchez‐Valle has received support for the present manuscript: ISCIII, Spain (grant number PI20/00448). She received grants or contracts from ISCIII, Sage Ph, and Biogen, payments were made to her institution. She reports personal fees from Wave Pharmaceuticals and Ionis Pharmaceuticals for attending advisory board meetings, and personal fees from Roche Diagnostics, Janssen, and Neuraxpharm for educational activities. Peter R. Schofield has received support for the present manuscript: US National Institutes of Health, National Institute of Aging, Grant No UF1AG032438. He has received grants or contracts from: NSW Health Project, NHMRC Investigator Grant, NHMRC NNIDR Boosting Dementia Research Grants, MRFF Mental Health Pharmacogenomics 2020 Grant, Spanish Internationalisation Network I‐Link Grant. He has held a leadership or fiduciary role in Neuroscience Research Australia, Neuroscience Research Australia Foundation, The Health‐Science Alliance, Schizophrenia Research Institute, Australian Association of Medical Research Institutes, Australian Dementia Network, StandingTall Pty Ltd, Australasian Neuroscience Society, Maridulu Budyari Gumal ‐ Sydney Partnership for Health Education, Research and Enterprise (SPHERE), The Judith Jane Mason & Harold Stannett Williams Memorial Foundation, Business Events Sydney. Allan Levey reports stock option in EmTheraPro. Mathias Jucker has received grants or contracts from DFG, IMI2, AluCure. He has received payment or honoraria from Roche, Synapsis. Colin L. Master has nothing to disclose. Anne Fagan has received many grants from the NIH/National Institute of Aging (NIA), paid to her institution. She also received a research grant from Centene, paid to her institution. She is on the scientific advisory boards for Roche Diagnostics/Genentech and also a consultant for Diadem, DiamiR, and Siemens Healthcare Diagnostics Inc; payments were made to her. Randall J. Bateman has received support for the present manuscript from NIA. He has received grants or contracts from Avid Radiopharmaceuticals, Janssen, Eisai, Genentech, Abbvie, Biogen, Centene, United Neuroscience, Eli Lilly & Co, Hoffman‐LaRoche. He has equity ownership interest in C2N Diagnostics and receives royalty income based on technology (stable isotope labeling kinetics and blood plasma assay) licensed by Washington University to C2N Diagnostics. He has received consulting fees from Janssen, Eisai, C2N Diagnostics, AC Immune, Amgen, Hoffman‐LaRoche, and Pfizer. He has received support for attending meetings and/or travel from AC Immune, Hoffman‐LaRoche. He has participated on a Data Safety Monitoring Board or Advisory Board for C2N Diagnostics, Hoffman‐LaRoche, and Pfizer. He has held stock or stock options in entities related to the current manuscript and/or area of research included in this manuscript or related area of research: C2N Diagnostics‐ Equity ownership interests. Ralph Martins has nothing to disclose. Charlotte Teunissen has a collaboration contract with ADx Neurosciences, performed contract research or received grants from Probiodrug, AC Immune, Biogen‐Esai, CogRx, Toyama, Janssen prevention center, Boehringer, AxonNeurosciences, Fujirebio, EIP farma, PeopleBio, and Roche (fees paid to Amsterdam UMC. Author disclosures are available in the supporting information . Funding Information: Data collection and sharing for this project was supported by the Dominantly Inherited Alzheimer Network (DIAN, U19AG032438) funded by the NIA; the National Health and Medical Research Council, Australia (NHMRC, APP1129627); the German Center for Neurodegenerative Diseases (DZNE); and partial support by the Research and Development grants for Dementia from Japan Agency for Medical Research and Development. This work was additionally supported by R01 AG071865 (JPC) and by an Alzheimer's Association Grant (AARF‐21‐846786; SAS). The study also received support from the Lions Alzheimer's Foundation and Lions Club International for their generous donations that allowed the purchase of the Simoa‐HD‐X instrument used in this study. The authors also acknowledge the Australian Alzheimer's Research Foundation. We thank Philip Scheltens for his early stage feedback, Alzheimer Nederland (Fellowship 2018), and Stichting Dioraphte (Netherlands Neurdegeneration in Families project). This manuscript has been reviewed by DIAN Study investigators for scientific content and consistency of data interpretation with previous DIAN Study publications. The authors gratefully acknowledge the altruism of the participants and their families and contributions of the DIAN research and support staff at each of the participating sites for their contributions to this study. Publisher Copyright: © 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
PY - 2023/7
Y1 - 2023/7
N2 - Background: Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer's disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. Methods: We evaluated plasma, serum, and cerebrospinal fluid (CSF) GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Results: Plasma GFAP elevations appear a decade before expected symptom onset, after amyloid beta (Aβ) accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished Aβ-positive from Aβ-negative ADAD participants and showed a stronger relationship with Aβ load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Conclusion: Our findings support a role for plasma GFAP as a clinical biomarker of Aβ-related astrocyte reactivity that is associated with cognitive decline and neurodegeneration. Highlights: Plasma glial fibrillary acidic protein (GFAP) elevations appear a decade before expected symptom onset in autosomal dominant Alzheimer's disease (ADAD). Plasma GFAP was associated to amyloid positivity in asymptomatic ADAD. Plasma GFAP increased with clinical severity and predicted disease progression. Plasma and serum GFAP carried similar information in ADAD, while cerebrospinal fluid GFAP did not.
AB - Background: Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer's disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. Methods: We evaluated plasma, serum, and cerebrospinal fluid (CSF) GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Results: Plasma GFAP elevations appear a decade before expected symptom onset, after amyloid beta (Aβ) accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished Aβ-positive from Aβ-negative ADAD participants and showed a stronger relationship with Aβ load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Conclusion: Our findings support a role for plasma GFAP as a clinical biomarker of Aβ-related astrocyte reactivity that is associated with cognitive decline and neurodegeneration. Highlights: Plasma glial fibrillary acidic protein (GFAP) elevations appear a decade before expected symptom onset in autosomal dominant Alzheimer's disease (ADAD). Plasma GFAP was associated to amyloid positivity in asymptomatic ADAD. Plasma GFAP increased with clinical severity and predicted disease progression. Plasma and serum GFAP carried similar information in ADAD, while cerebrospinal fluid GFAP did not.
UR - http://www.scopus.com/inward/record.url?scp=85145424083&partnerID=8YFLogxK
U2 - 10.1002/alz.12879
DO - 10.1002/alz.12879
M3 - Article
C2 - 36576155
AN - SCOPUS:85145424083
SN - 1552-5260
VL - 19
SP - 2790
EP - 2804
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 7
ER -