Association of plasma biomarkers with imaging markers of brain atrophy and white matter disease across three neurodegenerative diseases and cerebrovascular disease
Bibliographic record
Abstract
Abstract Background It is necessary to better understand the value of plasma biomarkers in reflecting ongoing neurodegenerative processes before widespread use as diagnostic and prognostic tools in specialized clinics and as markers of disease progression in trials. Herein, we investigate their association with imaging markers of brain atrophy and white matter disease across three common neurodegenerative diseases and cerebrovascular disease. Method Patients from the curated multi‐site Ontario Neurodegenerative Disease Research Initiative (ONDRI) were included in this study, classified by diagnostic group: Alzheimer’s disease/Mild cognitive impairment (AD/MCI, n = 126, age = 71.0±8.2, 55%M), frontotemporal dementia (FTD, n = 53, age = 67.8±7.1, 64%M), Parkinson’s disease (PD, n = 140, age = 67.9±6.3, 78%M) and cerebrovascular disease (CVD, n = 161, age = 69.2±7.4, 68%M). Plasma concentrations of Aβ40 and Aβ42 (Aβ42/40 ratio), glial fibrillary acidic protein (GFAP), neurofilament light (NfL) and phosphorylated‐tau181 (p‐tau181) were measured using high‐sensitivity Simoa assays. Volumes of regional grey matter, ventricular cerebrospinal fluid, white matter hyperintensities, perivascular spaces, lacunes and strokes were extracted using the semi‐automated SABRE pipeline on 3T structural MRI sequences harmonized across sites. Fractions of supratentorial total intracranial volume were used when appropriate. Linear regression models controlling for age and sex were used to test the association between plasma biomarkers and MRI variables in each group separately. Result In AD/MCI, higher levels of GFAP, NfL and p‐tau181 were all associated with extensive grey matter atrophy, ventricular expansion and, excluding p‐tau181, with increased white matter hyperintensities. In FTD, increased Aβ42/40 ratio was associated with frontal grey matter atrophy, and higher levels of NfL were associated with ventricular expansion. In PD, higher levels of NfL were associated with frontal, temporal and hippocampal grey matter atrophy. In CVD, higher levels of GFAP and NfL were associated with temporal and subcortical grey matter atrophy and ventricular expansion. Higher levels of GFAP were also associated with enlarged perivascular spaces, while higher levels of NfL were associated with increased lacunes. Finally, still in CVD, higher levels of GFAP and p‐tau181 were associated with increased stroke volumes. Conclusion Excluding Aβ42/40, plasma biomarkers appear to reflect various levels of brain atrophy in all neurodegenerative diseases studied, but reflect markers of white matter disease only in AD/MCI and CVD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".