Suppression of the rat microglia Kv1.3 current by src‐family tyrosine kinases and oxygen/glucose deprivation
Bibliographic record
Abstract
Microglia activate following numerous acute insults to the brain, including oxygen/glucose deprivation (OGD), and both protein tyrosine kinases (PTKs) and K+ channels have been implicated in their activation. We identified Kv1.3 (voltage-gated potassium channel) protein in cultured rat microglia and confirmed that the native current is biophysically and pharmacologically similar to Kv1. 3. To explore whether src-family PTKs regulate the microglial Kv current, we first heterologously expressed Kv1.3 in a microglia-like cell line derived from neonatal rat brain (MLS-9). The resulting large Kv1.3 current was eliminated by co-transfecting the constitutively active PTK, v-src, then rapidly restored by the PTK inhibitor, lavendustin A. Acute activation of endogenous src kinases by a peptide activator significantly reduced the current, an effect that was mimicked by OGD. Similarly, in primary cultures of rat microglia, the endogenous Kv1.3-like current was inhibited by activating endogenous src-family PTKs and by OGD. Biochemical analysis showed that OGD increased the tyrosine phosphorylation of native Kv1.3 protein, which was alleviated by PTK inhibitors or reactive oxygen species (ROS) scavengers. Conversely, the basal level of Kv1.3 phosphorylation was decreased by PTK inhibitors or scavengers of ROS. Together, our results point to a post-insertional downregulation of the microglial Kv1.3-like current by oxidative stress and tyrosine phosphorylation. This interaction may be facilitated by a multiprotein complex because, in cultured microglia, the endogenous Kv1.3 and src proteins both bind to the scaffolding protein, post-synaptic density protein 95 (PSD-95). By associating with, and phosphorylating Kv1.3, src is well positioned to regulate microglial responses to oxidative stress.
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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) | 0.000 | 0.001 |
| 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".