Platelets Disseminate Extracellular Vesicles in Lymph in Rheumatoid Arthritis
Bibliographic record
Abstract
Objective: The lymphatic system is a circulatory system that unidirectionally drains the interstitial tissue fluid back to blood circulation. Although lymph is utilized by leukocytes for immune surveillance, it remains inaccessible to platelets and erythrocytes. Activated cells release submicron extracellular vesicles (EV) that transport molecules from the donor cell. In rheumatoid arthritis, EV accumulate in the joint where they can interact with numerous cellular lineages. However, whether EV can exit the inflamed tissue to recirculate is unknown. Here, we investigated whether vascular leakage that occurs during inflammation could favor EV access to the lymphatic system. Approach and Results: Using an in vivo model of autoimmune inflammatory arthritis, we show that there is an influx of platelet EV, but not EV from erythrocytes or leukocytes, in joint-draining lymph. In contrast to blood platelet EV, lymph platelet EV lacked mitochondrial organelles and failed to promote coagulation. Platelet EV influx in lymph was consistent with joint vascular leakage and implicated the fibrinogen receptor α2bβ 3 and platelet-derived serotonin. Conclusions: These findings show that platelets can disseminate their EV in fluid that is inaccessible to platelets and beyond the joint in this disease.
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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) | 0.001 | 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".