Isolated Amyloid‐β biomarker positivity: Alzheimer's disease in a mixed pathologies context?

Abstract Background The in vivo amyloid‐β (A) and tau (T) biomarkers have been validated against the respective neuropathological burden of amyloid‐β plaques and neurofibrillary tangles. We aimed to assess the impact of mixed pathologies on the interpretation of AT biomarker system. Method A subset of 71 ADNI participants with available neuropathological data and ante‐mortem cerebrospinal fluid (CSF) sampling was analyzed. The median delay between CSF sampling and death was 3.12 years (interquartile range 1.44‐5.11). AT status was determined based on CSF positivity for Aβ42 (A+; ≤981 pg/mL) and p‐tau181 (T+; >24.3 pg/mL). Linear mixed‐effects models were employed to assess the interaction of AT status with longitudinal cognitive scores. A medically trained investigator evaluated the medical history and medication use records. The neuropathological burden was assessed by the ADNI Neuropathology Core according to standard procedures. Chi‐squared statistics (α=0.05) were used to compare the frequency of clinical and neuropathological diagnoses across AT profile groups. Result Four AT profile groups were identified: n=37 A+T+, 14 A+T‐, 10 A‐T+, and 10 A‐T‐. Both A+ groups exhibited significantly lower cognitive scores and declined significantly faster in episodic memory and executive domains over time than A‐ groups. The frequencies of psychiatric/neurological diagnoses and cerebrovascular disease risk factors were similar across groups. A+T+ and A+T‐ individuals were significantly more likely to be prescribed Alzheimer’s disease medications than A‐ individuals. The frequency of Alzheimer’s disease neuropathological change (ADNC) declined in a stepwise fashion across AT groups (A+T+ 100%; A+T‐ 71%; A‐T+ 40%; A‐T‐ 30%), and significant differences were detected between A+ and A‐ groups and within the A+ subgroups. In case of ADNC evidence, A+T‐ compared to A+T+ individuals exhibited significantly higher frequency of mixed pathologies (70% vs. 28%). Neocortical Lewy body pathology, extensive substantia nigra neurodegeneration, and argyrophilic grain disease were significantly more frequent in the A+T‐ than A+T+ individuals. Conclusion Despite indistinguishable clinical phenotypes, A+T‐ and A+T+ groups showed distinct differences at autopsy, with higher mixed pathology burden in the A+T‐ group. Cognitive decline in A+T‐ individuals may be associated with the additional impact of mixed pathologies rather than being exclusively linked to AD neuropathology.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091213
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Isolated Amyloid‐β biomarker positivity: Alzheimer's disease in a mixed pathologies context?

Konstantinos Chiotis, Dorota Religa, Κωνσταντίνος Ιωάννου, Elena Rodriguez‐Vieitez et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Isolated Amyloid‐β biomarker positivity: Alzheimer's disease in a mixed pathologies context?

Konstantinos Chiotis, Dorota Religa, Κωνσταντίνος Ιωάννου, Elena Rodriguez‐Vieitez, Marina Blūma, Khadidzha Abdullaieva
article en

Abstract

Abstract Background The in vivo amyloid‐β (A) and tau (T) biomarkers have been validated against the respective neuropathological burden of amyloid‐β plaques and neurofibrillary tangles. We aimed to assess the impact of mixed pathologies on the interpretation of AT biomarker system. Method A subset of 71 ADNI participants with available neuropathological data and ante‐mortem cerebrospinal fluid (CSF) sampling was analyzed. The median delay between CSF sampling and death was 3.12 years (interquartile range 1.44‐5.11). AT status was determined based on CSF positivity for Aβ42 (A+; ≤981 pg/mL) and p‐tau181 (T+; >24.3 pg/mL). Linear mixed‐effects models were employed to assess the interaction of AT status with longitudinal cognitive scores. A medically trained investigator evaluated the medical history and medication use records. The neuropathological burden was assessed by the ADNI Neuropathology Core according to standard procedures. Chi‐squared statistics (α=0.05) were used to compare the frequency of clinical and neuropathological diagnoses across AT profile groups. Result Four AT profile groups were identified: n=37 A+T+, 14 A+T‐, 10 A‐T+, and 10 A‐T‐. Both A+ groups exhibited significantly lower cognitive scores and declined significantly faster in episodic memory and executive domains over time than A‐ groups. The frequencies of psychiatric/neurological diagnoses and cerebrovascular disease risk factors were similar across groups. A+T+ and A+T‐ individuals were significantly more likely to be prescribed Alzheimer’s disease medications than A‐ individuals. The frequency of Alzheimer’s disease neuropathological change (ADNC) declined in a stepwise fashion across AT groups (A+T+ 100%; A+T‐ 71%; A‐T+ 40%; A‐T‐ 30%), and significant differences were detected between A+ and A‐ groups and within the A+ subgroups. In case of ADNC evidence, A+T‐ compared to A+T+ individuals exhibited significantly higher frequency of mixed pathologies (70% vs. 28%). Neocortical Lewy body pathology, extensive substantia nigra neurodegeneration, and argyrophilic grain disease were significantly more frequent in the A+T‐ than A+T+ individuals. Conclusion Despite indistinguishable clinical phenotypes, A+T‐ and A+T+ groups showed distinct differences at autopsy, with higher mixed pathology burden in the A+T‐ group. Cognitive decline in A+T‐ individuals may be associated with the additional impact of mixed pathologies rather than being exclusively linked to AD neuropathology.

Alzheimer s & DementiaVol. 20(S2)
Karolinska University Hospital (SE), Karolinska Institutet (SE)
Good health and well-being
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.