Abstract 283: Expression of the Pan-Neurotrophic Receptor p75 <sup>NTR</sup> in Human Platelets
Bibliographic record
Abstract
Background: The brain-derived neurotrophic factor (BDNF) is a protein from the neurotrophin family. This peptide was first identified in the central nervous system (CNS), where it is implicated in learning and memory by promoting neuron survival through the tropomyosin receptor kinase B (TrkB) as well as by acting on the 75 kDa pan-neurotrophic receptor (p75 NTR ), which can mediate both neuron survival and apoptosis. Despite being discovered in the brain, BDNF is more abundant in blood, where its concentrations can reach 100 to 1000 times the ones found in the brain. In blood circulation, BDNF is contained within platelets, making this cell type the largest peripheral reserve of this peptide. It is known that BDNF is secreted from platelets upon activation and preliminary results obtained in our lab show that physiological amounts of BDNF induce both activation and complete platelet aggregation. However, the underlying mechanism and the protein acting as a receptor for BDNF at the platelet membrane are still unknown to this day. Hypothesis: We hypothesised that the receptor activating the whole pathway mediating aggregation was the p75 NTR , known to be bound by the BDNF protein in the CNS. Methods and results: We first determined the presence of the receptor on platelets by western blotting. Similarly to human cortex cell lysates, platelet lysates displayed a clear band at the expected molecular weight of 75 kDa for p75 NTR . We then characterized its location using flow cytometry and confocal microscopy, which revealed that the receptor is present both at the membrane and within platelets. Furthermore, by co-immunoprecipitation, we demonstrated that the p75 NTR receptor is bound by BDNF in platelets of healthy volunteers, thus showing an interaction between these two peptides at the platelet level. Conclusion: We demonstrated for the first time that platelets express the pan-neurotrophic receptor, p75 NTR . The expression pattern of p75 NTR suggests a role either in the mediation of BDNF signalling leading to platelet aggregation or in the internalisation of BDNF by platelets. This warrants further investigation into the physiological relevance of the BDNF-p75 NTR loop in platelets and vascular homeostasis.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".