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CC BY-NC V4.0, Open Access
Journal article
Influence of medical conditions on the diagnostic accuracy of plasma p-tau217 and p-tau217/Aβ42
Alzheimer's & dementia, Vol.21(2), e14430
2024
PMID: 39641408
Abstract
INTRODUCTION
Blood-based biomarkers (BBMs) can enable early detection of brain amyloid beta (Aβ) pathology in cognitively unimpaired individuals. However, the extent to which common medical conditions affect biomarker performance remains unclear.
METHODS
Participants (n = 348) included individuals without cognitive impairment. We studied how brain Aβ associated with BBMs (Aβ42/40, phosphorylated tau [p-tau] 181 and 217, p-tau217/Aβ42, glial fibrillary acidic protein [GFAP], and neurofilament light [NfL]) and optimal BBM thresholds for predicting brain Aβ positivity and whether they are obscured by the presence of common medical conditions.
RESULTS
Plasma Aβ42/40, p-tau181, p-tau217, and GFAP, but not NfL, were significantly associated with brain Aβ. P-tau217/Aβ42 showed the best discriminative performance (area under the curve: 0.91). The strength of p-tau217–brain Aβ associations were obscured by diabetes and cardiovascular conditions.
DISCUSSION
These results suggest BBMs may help detect early Aβ pathology but suggest caution in their use due to common medical conditions that could affect accuracy.
Details
- Title
- Influence of medical conditions on the diagnostic accuracy of plasma p-tau217 and p-tau217/Aβ42
- Authors/Creators
- Marcos Olvera-Rojas - Faculty (United Kingdom)Kelsey R Sewell - Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, AustraliaThomas K Karikari - University of PittsburghHaiqing Huang - AdventHealth Research Institute, Orlando, Florida, USALauren E Oberlin - Weill Cornell MedicineXuemei Zeng - University of PittsburghJill K Morris - University of Kansas Medical CenterAudrey M Collins - AdventHealth Research Institute, Orlando, Florida, USAJermon A Drake - University of PittsburghBradley P Sutton - University of Illinois Urbana-ChampaignArthur F Kramer - Department of Psychology, Northeastern University, Boston, Massachusetts, USACharles H Hillman - Northeastern UniversityEric D Vidoni - University of Kansas Medical CenterJeffrey M Burns - Alzheimer’s Disease Neuroimaging InitiativeM Ilyas Kamboh - University of PittsburghEdward McAuley - University of Illinois Urbana-ChampaignAnna L Marsland - University of PittsburghYijun Chen - University of PittsburghTara K Lafferty - University of PittsburghJohn M Jakicic - University of Kansas Medical CenterAnuradha Sehrawat - University of PittsburghLu Wan - AdventHealth Research Institute, Orlando, Florida, USAChaeryon Kang - University of PittsburghKirk I Erickson - University of Pittsburgh
- Publication Details
- Alzheimer's & dementia, Vol.21(2), e14430
- Publisher
- Wiley Periodicals LLC on behalf of Alzheimer's Association.
- Number of pages
- 11
- Grant note
- R35 AG072307 / NIH HHS UL1-TR-001857 / Clinical and Translational Science Institute at the University of Pittsburgh UL1TR002366 / Kansas University R01 AG053952 / NIH HHS P30 AG072973 / NIA NIH HHS
- Identifiers
- 991005723862707891
- Copyright
- © 2024 The Author(s).
- Murdoch Affiliation
- Centre for Healthy Ageing
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
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- Citation topics
- 1 Clinical & Life Sciences
- 1.52 Neurodegenerative Diseases
- 1.52.60 Dementia
- Web Of Science research areas
- Clinical Neurology
- ESI research areas
- Neuroscience & Behavior