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Record W2531448836 · doi:10.1055/s-0036-1582634

Toll-like Receptor 2 Regulates Nerve Growth Factor Synthesis via NF-κB Signaling in Human Intervertebral Disc Cells

2016· article· en· W2531448836 on OpenAlexaff
Emerson Krock, J. Brooke Currie, Michael H. Weber, Jean Ouellet, Laura S. Stone, Derek H. Rosenzweig, Lisbet Haglund

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsTLR2Nerve growth factorTLR4Cell biologySignal transductionMedicineTumor necrosis factor alphaToll-like receptorChemokineCytokineReceptorImmunologyInternal medicineBiologyInnate immune system

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.016
GPT teacher head0.277
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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