MicroRNA‐155 negatively affects blood–brain barrier function during neuroinflammation
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Blood–brain barrier (BBB) dysfunction is a hallmark of neurological conditions such as multiple sclerosis (MS) and stroke. However, the molecular mechanisms underlying neurovascular dysfunction during BBB breakdown remain elusive. MicroRNAs (miRNAs) have recently emerged as key regulators of pathogenic responses, although their role in central nervous system (CNS) microvascular disorders is largely unknown. We have identified miR‐155 as a critical miRNA in neuroinflammation at the BBB. miR‐155 is expressed at the neurovascular unit of individuals with MS and of mice with experimental autoimmune encephalomyelitis (EAE). In mice, loss of miR‐155 reduced CNS extravasation of systemic tracers, both in EAE and in an acute systemic inflammation model induced by lipopolysaccharide. In cultured human brain endothelium, miR‐155 was strongly and rapidly upregulated by inflammatory cytokines. miR‐155 up‐regulation mimicked cytokine‐induced alterations in junctional organization and permeability, whereas inhibition of endogenous miR‐155 partially prevented a cytokine‐induced increase in permeability. Furthermore, miR‐155 modulated brain endothelial barrier function by targeting not only cell–cell complex molecules such as annexin‐2 and claudin‐1, but also focal adhesion components such as DOCK‐1 and syntenin‐1. We propose that brain endothelial miR‐155 is a negative regulator of BBB function that may constitute a novel therapeutic target for CNS neuroinflammatory disorders.—Lopez‐Ramirez, M. A., Wu, D., Pryce, G., Simpson, J. E., Reijerkerk, A., King‐Robson, J., Kay, O, de Vries, H. E., Hirst, M. C., Sharrack, B., Baker D., Male, D. K., Michael, G. J., Romero, I. A. MicroRNA‐155 negatively affects blood–brain barrier function during neuroinflammation. FASEB J . 28, 2551–2565 (2014). www.fasebj.org
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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 | 0.000 | 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) | 0.000 | 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 it