Effect of a Type II Collagen Fragment on the Expression of Genes of the Extracellular Matrix in Cells of the Intervertebral Disc
Bibliographic record
Abstract
Knowledge of factors regulating the turnover, repair, and degeneration of the intervertebral disc (IVD) is lacking. Although type II collagen (CII) fragments accumulate in the degenerative IVD, little is known of how they affect the degenerative process. A better understanding of the cellular interactions with fragments of matrix molecules are a key factor in promoting therapies for degenerative disc diseases. In the present study, we have investigated the effect of the CII (245-270) peptide on the expression of matrix molecules, proteinases, and interleukin genes in cells of the IVD. Cells isolated from the nucleus pulposus (NP) and annulus fibrosus (AF) of adult bovine tails were cultured up to 8 days in the absence (control) or presence of the CII (245-270) peptide. RT-PCR was used to analyze the expression of the different genes. Exposure of these cells to the CII (245-270) peptide led to a transient up-regulation of the aggrecan gene in AF cells while this up-regulation was maintained for a longer time in NP cells. The fragment also enhanced a transient up-regulation of the type II collagen gene in AF cells but had no effect in NP cells. The peptide enhanced transiently the expression of matrix metalloproteinase (MMP)-1 and cathepsin K genes in both AF and NP cells whereas it increased MMP-13 expression only in NP cells. The peptide up-regulated tissue inhibitor of metalloproteinase (TIMP)-1, TIMP-2, and TIMP-3 gene expression on day 1 in AF cells but had very little effect on their expression in NP cells. Finally, the CII (245-270) peptide had no effect on IL-6 expression while IL-1alpha was not expressed in these cells. In conclusion, our results showed that the CII (245-270) peptide differentially alter the expression of genes in bovine AF and NP cells and suggest that degradation products of collagen may be involved in the regulation of IVD homeostasis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".