Microglial Store-operated Calcium Signaling in Health and in Alzheimer’s Disease
Bibliographic record
Abstract
The dysregulation of calcium signaling mechanisms in neurons has been considered a contributing factor to the pathogenesis evident in early-onset Alzheimer’s Disease (AD). However, considerably less is known concerning the possible impairment of Ca2+ mobilization in resident immune cell microglia. This review considers findings which suggest that a prominent pathway for non-excitable microglial cells, store-operated calcium entry (SOCE), is altered in the sporadic form of AD. The patterns of Ca2+ mobilization are first discussed with platelet-activating factor (PAF) stimulation of SOCE in adult, fetal and immortalized cell-line, human microglia in the healthy brain. In all cases, PAF was found to induce a rapid transient depletion of Ca2+ from endoplasmic reticulum (ER) stores, followed by a sustained entry of Ca2+ (SOCE). A considerably attenuated duration of SOCE is observed with ATP stimulation of human microglia, suggested as due to agonist actions on differential subtype purinergic receptors. Microglia obtained from AD brain tissue, or microglia treated with full-length amyloid-β peptide (Aβ42), show significant reductions in the amplitude of SOCE relative to controls. In addition, AD brain and Aβ42-treated microglia exhibit decreased levels of Ca2+ release from ER stores compared to controls. Changes in properties of SOCE in microglia could lead to altered immune cell response and neurovascular unit dysfunction in the inflamed AD brain.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".