Toll-like Receptor 2 Regulates Nerve Growth Factor Synthesis via NF-κB Signaling in Human Intervertebral Disc Cells
Notice bibliographique
Résumé
Introduction Intervertebral disc degeneration is a leading cause of chronic low back pain (LBP), but how degeneration contributes to LBP is poorly understood. Nerve growth factor (NGF) levels increase during disc degeneration and evidence suggests NGF promotes disc innervation, neuronal sensitization and low back pain, making NGF a possible therapeutic target. However, current anti-NGF therapeutics have limited efficacy and safety concerns. Mechanisms leading to increased NGF in the disc are poorly understood and the molecular signaling mechanisms regulating NGF in inflammatory mediator rich environments, such as a degenerating disc, are unknown. During degeneration, proteoglycans and extra-cellular matrix (ECM) proteins are degraded and fragmented. ECM fragments can act as endogenous danger signal ligands for toll-like receptors (TLR). TLR activation induces cytokine and chemokine expression, and could thus regulate expression of inflammatory mediators, such as IL-1β or TNFα, during disc degeneration. NGF is often increased in environments with elevated levels of inflammatory mediators. Therefore, we hypothesized that TLR activation in the disc induces NGF expression. Materials and Methods Non-degenerate human intervertebral discs from organ donors without a history of low back pain were collected for cell isolation. NP and AF tissues were separated and enzymatically digested. Cells were treated with IL-1β (control), peptidoglycan (PGN, TLR2 agonist) and lipopolysaccharide (LPS, TLR4 agonist). Neutralizing antibodies against TLR2 were used to prevent TLR2 activation. Activated cell-signaling pathways following IL-1β and PGN treatment were evaluated by western blot and immunofluorescence. Small molecule inhibitors blocking p38 MAPK (SB203580) and NF-κB (BMS-345541) activity were added to cell cultures in combination with IL-1β and PGN. NGF gene expression was evaluated by qRT-PCR after 6, 12 and 24 hours, and NGF protein levels were examined by western blot and ELISA after 48 hours. Results TLR 2 activation significantly increased NGF gene expression in NP and AF cells following 6, 12 and 24 hours of treatment, while TLR 4 activation had little effect on NGF expression. TLR 2 activation significantly increased NGF protein secretion after 48 hours in NP and AF cells while TLR 4 activation did not increase NGF protein levels. TLR 2 neutralization with antibodies showed that TLR 2 is required for PGN induced NGF expression. TLR 2 activation of the p38 MAPK, ERK1/2, JNK and NF-κB signaling pathways was analyzed using phosphorylation specific antibodies. TLR activation increased p38 MAPK, ERK1/2 and p65 (NF- κB pathway) phosphorylation in disc cells compared with untreated cells. Furthermore, immunofluorescence found that TLR activation induces p65 translation to the nucleus, indicative of NF-κB signaling. Inhibiting NF-κB signaling decreased TLR 2 induced NGF expression. Conclusion This study found that TLR 2 activation directly regulates NGF expression via NF-κB signaling in human intervertebral disc cells. These findings represent a novel regulatory mechanism of NGF in the IVD. In the central nervous system NF-κB distinct signaling pathways regulate NGF. Therefore, these finding may provide therapeutic strategies to target NGF and low back pain without affecting the central nervous system.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».