Novel CSF astrocyte biomarkers are associated with amyloid load in Alzheimer's disease
Bibliographic record
Abstract
Abstract Background Astrocytes are highly involved in Alzheimer's disease (AD) pathophysiology. GFAP, an astrocyte‐enriched protein, increases in response to amyloid (Aβ) pathology and is used as a fluid biomarker of astrocyte reactivity in AD. However, GFAP does not fully reflect the astrocytic dynamics in response to the disease. Thus, we aimed to identify novel astrocyte biomarkers in CSF that contribute to the understanding of the pathological changes in AD. Method We analyzed CSF proteomic data from 728 individuals in the ADNI cohort (SomaLogic). A pre‐defined list of 30 astrocyte‐enriched genes was contrasted with the available ADNI CSF proteomic data, resulting in eight proteins of interest, including GFAP. We examined their CSF levels across cognitively unimpaired (CU), mild cognitively impaired (MCI), and AD individuals (Figure 1a). The proteins levels in CSF were further investigated in CU and cognitively impaired (CI) individuals who were also categorized according to their Aβ status (ptau181/Aβ42 ratio cut‐off=0.028, Figure 1b). Voxelwise models assessed associations between the selected proteins and [ 18 F]Florbetapir‐PET, a biomarker of Aβ deposition, in a subset of the individuals ( n = 461), and CU and CI individuals separately. Models also included age and sex, and RFT was used for multiple comparisons correction in the imaging analyses. Result CSF NCAN was significantly reduced in AD individuals compared to CU and MCI (Figure 1a). Further analysis revealed elevated CSF GPC5 levels in Aβ‐positive CI (CI Aβ+) compared to Aβ‐negative CU (CU Aβ‐) and CI (CI Aβ‐) groups. In contrast, CSF LRIG1 and NCAN were only increased in CI+ compared to CI‐ individuals (Figure 1b). Positive associations were observed between CSF GPC5, LRIG1, and NCAN, and [ 18 F]Florbetapir‐PET, with GPC5 showing the most widespread cortical associations, particularly in CI individuals (Figure 2). Conclusion This study identifies GPC5, LRIG1, and NCAN as CSF astrocyte biomarkers altered across AD cognitive status and amyloid pathology. GPC5, in particular, showed the most widespread cortical association with Aβ deposition, consistent with its role in synaptic maturation and stabilization. Given that GPC5 is highly expressed in cortical astrocytes, these findings highlight its potential as a novel astrocytic biomarker in AD. Further validation will be conducted in an external cohort.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".