Reversed Na<sup>+</sup>/Ca<sup>2+</sup>Exchange Contributes to Ca<sup>2+</sup>Influx and Respiratory Burst in Microglia
Bibliographic record
Abstract
Phagocytosis and the ensuing NADPH-mediated respiratory burst are important aspects of microglial activation that require calcium ion (Ca(2+)) influx. However, the specific Ca(2+) entry pathway(s) that regulates this mechanism remains unclear, with the best candidates being surface membrane Ca(2+)-permeable ion channels or Na(+)/Ca(2+) exchangers. In order to address this issue, we used quantitative real-time RT-PCR to assess mRNA expression of the Na(+)/Ca(2+) exchangers, Slc8a1-3/NCX1-3, before and after phagocytosis by rat microglia. All three Na(+)/Ca(2+) exchangers were expressed, with mRNA levels of NCX1 > NCX3 > NCX2, and were unaltered during the one hour phagocytosis period. We then carried out a biophysical characterization of Na(+)/Ca(2+) exchanger activity in these cells. To investigate conditions under which Na(+)/Ca(2+) exchange was functional, we used a combination of perforated patch-clamp analysis, fluorescence imaging of a Ca(2+) indicator (Fura-2) and a Na(+) indicator (SBFI), and manipulations of membrane potential and intracellular and extracellular ions. Then, we used a pharmacological toolbox to compare the contribution of Na(+)/Ca(2+) exchange with candidate Ca(2+)-permeable channels, to the NADPH-mediated respiratory burst that was triggered by phagocytosis. We find that inhibiting the reversed mode of the Na(+)/Ca(2+) exchanger with KB-R7943, dose dependently reduced the phagocytosis-stimulated respiratory burst; whereas, blockers of store-operated Ca(2+) channels or L-type voltage-gated Ca(2+) channels had no effect. These results provide evidence that Na(+)/Ca(2+) exchangers are potential therapeutic targets for reducing the bystander damage that often results from microglia activation in the damaged CNS.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".