Elastin-Derived Peptides Induce Inflammatory Responses through the Activation of NF-κB in Human Ligamentum Flavum Cells
Why this work is in the frame
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Bibliographic record
Abstract
The formation of fibrotic tissue in the ligamentum flavum (LF) is usually preceded by breakdown of elastic fibers. Elastin-derived peptides (EDPs) from breakdown of elastic fibers display a wide range of biological activities in a variety of cells, but there is minimal information regarding the involvement in the processes of LF hypertrophy. The aim of this study is to elucidate the effects of EDPs on cultured human LF cells and to investigate their molecular and biochemical mechanisms. Human LF cells were obtained from 18 patients who underwent lumbar spine surgery. After treatment with different concentrations of EDPs with or without specific inhibitors in culture medium, the viability and proliferation of LF cells, genes expression, and the signaling pathways were evaluated and analyzed. It was found that 50 μg/ml EDPs significantly increased cell proliferation and synthesis of prostaglandin E(2). The gene expression and protein production of proinflammatory cytokines, including interleukin-1α (IL-1α), IL-1β, and IL-6, were also upregulated. The levels of p-ERK (extracellular signal-regulated kinase) and NF-κB increased immediately following EDP treatment and sustained up to 90 min. It was also found that NF-κB inhibitor, but not ERK1/2 inhibitor, attenuated EDP-dependent induction of IL-1α, IL-1β, and IL-6 expression, indicating that NF-κB pathways are required for EDP-induced IL-1α, IL-1β, and IL-6 gene expression in human LF cells. The results of this in vitro experiment suggest that EDPs do induce inflammatory responses in human LF cells and plays the key role in the development of LF hypertrophy.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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