Alzheimer and Neurodegeneration Biomarkers in Mild Cognitive Impairment with Lewy Body Disease in COMPASS‐ND
Bibliographic record
Abstract
BACKGROUND: Mild Cognitive Impairment (MCI) may be caused by mixed pathologies. Blood markers indicative of Alzheimer pathology or neurodegeneration have not been extensively explored in patients with MCI who have features of Lewy Body disease (LB-MCI) (cognitive fluctuations, parkinsonism, hallucinations, and REM-sleep behavior disorder (RBD)). We compared plasma levels of amyloid beta (Aß), tau, glial-fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) between participants in COMPASS-ND who met criteria for LB-MCI with participant with MCI without these features, healthy controls (HC), and participants with Parkinson's disease (PD) with and without MCI. METHOD: Participants with MCI, HC, and PD were recruited as part of the COMPASS-ND study and underwent assessment of demographic and clinical features. Participants with MCI were classified as LB-MCI based on one or more criteria for LB disease. Plasma biomarkers were determined for amyloid species (Aß 42/40 ratio), tau-181, GFAP, and (NfL using Simoa. Groups were compared using ANOVA with post hoc comparisons. Age and sex adjustment was done in ANCOVA models. RESULT: Among participants with MCI in COMPASS-ND, there were 159 (97 M/62 F) with MCI but without LB features and 105 (46 M/32 F) with one or more of the LB-MCI criteria. There were 161 HC (54 M/107 F), 79 PD (42 M/37 F), and 41 PD-MCI (35 M/7 F). The Aß 42/40 ratio and tau-181 differed between groups, with the LB-MCI group showing a lower Aß 42/40 ratio and higher tau-181 than the other groups. Post hoc comparison indicated that the ratio was lower in LB-MCI than HC, PD, and PD-MCI while tau-181 was higher than HC, PD, and MCI without LB features. GFAP and NfL did not differ across groups. Age and sex adjustment did not alter the main findings. CONCLUSION: In COMPASS-ND, participants with features of LB-MCI showed a biomarker profile suggestive of high Alzheimer co-pathology. Higher tau-181 suggests that these individuals might have a higher pathological burden than the other groups. The influence of other co-pathologies (i.e., vascular) and the influence on outcomes will be examined in this cohort. Future studies should examine for the presence of synuclein pathology across these groups.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".