Purinergic Signaling Participates in a Transition Between Functional States of Reactive Microglia and Controls Astrocyte-Driven Neuroinflammation in the Model of Trimethyltin-Induced Neurodegeneration
Bibliographic record
Abstract
Abstract BackgroundThe present study aims to explore the involvement of purinergic signaling in the rodent model of hippocampal degeneration induced by trimethyltin (TMT), which results in behavioral and neurological dysfunction similar to Alzheimer’s disease. Our study has provided novel evidence that TMT induced extracellular depositions of amyloid β, which might be the cause of the well-defined progressive hippocampal neurodegeneration and gliosis. MethodsWe have applied enzyme histochemistry and immunohistochemistry to study spatial and temporal patterns of ectonucleotidase NTPDase1/CD39 and eN/CD73 expression, gene expression analysis and immunochemistry to analyze cellular localization of select purinoreceptors and pro-inflammatory cytokines previously associated with microglia and astrocytes activation. ResultsOur study demonstrated that all Iba1-ir microglial cells, irrespective of the cell shape and localization, upregulated NTPDase1/CD39, while the induction of eN/CD73 has been observed only at amoeboid microglia, localized within the hippocampal layers with pronounced cell death. Marked induction of P2Y12R and P2Y6R at amoeboid microglia might reflect the transition from rod to amoeboid microglia and the adaptation to the migratory and phagocytic properties of the latter. Based on the expression of the microglial polarization markers, the majority of microglia belonged to the M2-like functional state. A significant change in purinergic signaling components accompanied the response of reactive astrocytes, which occupied the areas with pronounced cell death. Reactive astrocytes, which markedly expressed adenosine A2A and P2Y1 receptors, showed massive induction of complement component C3, NF-kB and IL-1β, suggesting that astrocyte-derived inflammation might be responsible for prolonged and spreading neurodegeneration in TMT model.ConclusionThis study put glia-associated purinergic signaling in the center of molecular pathogenesis of AD-like disease. Our findings suggest that the ectonucleotidases and purinergic signaling play significant role in microgliosis, astrocyte-driven neuroinflammation and prolonged neurodegeneration in the TMT model.
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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".