Elevated Abundance, Size, and MicroRNA Content of Plasma Extracellular Vesicles in Viremic HIV-1+ Patients
Bibliographic record
Abstract
BACKGROUND: Because of factors only partly understood, the generalized elevated immune activation and inflammation characterizing HIV-1-infected patients are corrected incompletely with antiretroviral therapy (ART). Extracellular vesicles (EVs) including exosomes and microvesicles released by several cell types may contribute to immune activation and dysfunction. EV size, abundance, and content appear to differ according to infection phase, disease progression, and ART. METHODS: We examined whether the size of EVs and the abundance of exosomes in plasma are associated with cell and tissue activation as well as with viral production. Acetylcholinesterase-bearing (AChE+) exosomes in plasma were quantified using an AChE assay. EV size was analyzed using dynamic light scattering. Proteins and microRNAs present in EVs were detected by Western blot and real-time polymerase chain reaction, respectively. RESULTS: Exosomes were found more abundant in the plasma of ART-naive patients. EV size was larger in ART-naive than in ART-suppressed patients, elite controllers, or healthy control subjects. Both exosome abundance and EV sizes were inversely correlated with CD4/CD8 T-cell ratio and neutrophil, platelet, and CD4 T-cell counts and positively correlated with CD8 T-cell counts. A negative correlation was found between CD4 T-cell nadir and exosome abundance, but not EV size. Levels of miR-155 and miR-223 but not miR-92 were strongly correlated negatively with EV abundance and size in ART-naive patients. CONCLUSIONS: Monitoring of circulating EVs and EV-borne microRNA is possible and may provide new insight into HIV-1 pathogenesis, disease progression, and the associated inflammatory state, as well as the efficacy of ART and the treatments intended to reduce immune activation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".