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Record W2320400615 · doi:10.1055/s-0034-1376539

Degenerating and Painful Human Intervertebral Discs Release Pronociceptive Factors and Increase Neurite Sprouting and CGRP via Nerve Growth Factor

2014· article· en· W2320400615 on OpenAlexaffabout
Emerson Krock, Derek H. Rosenzweig, Anne‐Julie Chabot‐Doré, Peter Jarzem, Michael H. Weber, Jean Ouellet, Laura S. Stone, Lisbet Haglund

Bibliographic record

VenueGlobal Spine Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineNociceptionNerve growth factorNeurotrophinIntervertebral discNeurotrophic factorsNeuriteChronic painTumor necrosis factor alphaAnesthesiaInternal medicineSurgeryReceptorIn vitroBiologyPhysical therapy

Abstract

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Introduction Increasing evidence suggests that healthy and painless intervertebral discs (IVDs) are largely aneural and that degenerating and painful IVDs often are innervated. 1 Many inflammatory factors are unregulated in disc degeneration, such as interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α), and are believed to play important roles in degeneration and pain. 2,3 Increased levels of neurotrophins, such as nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF), have also been associated with disc degeneration and could potentiate disc innervation. 4 Inflammatory factors and neurotrophins can also have nociceptive roles that promote the development of chronic pain. While increased levels of inflammatory and nociceptive factors have been found by histological analysis in degenerating discs, in disc cell cultures, and in animal models, 3 the ability of degenerating intervertebral discs from chronic low back pain patients to release increased levels of nociceptive factors compared with healthy discs from pain free donors is unknown. An understanding of the ability of degenerating discs to release nociceptive factors that may sensitize neurons and the mechanisms involved will provide evidence to develop effective pain management strategies. Materials and Methods Degenerating, painful IVDs were collected from patients undergoing surgery for low back pain and healthy, painless IVDs were collected from human organ donors through Transplant Quebec. IVDs were cultured ex vivo for 48 hours and the conditioned media was collected. Protein arrays were used to assess relative quantities of 23 cytokines and chemokines and enzyme-linked immunosorbent assay (ELISA) kits were used to quantify TNF-α, NGF, and BDNF in the conditioned media. PC12 cells, a neuronal-like cell line, were exposed to the conditioned or NGF supplemented media and neurite sprouting was analyzed. Mouse sensory neurons were isolated from dorsal root ganglia and treated with conditioned media. Neuronal expression of CGRP, a peptide involved in pain modulation, was compared with the total number of neurons that were stained with PGP 9.5, a general neuronal marker and the percentage of CGRP immunoreactive neurons was determined. To determine the role of NGF in neurite sprouting and CGRP regulation NGF supplemented or degenerating IVD conditioned media was incubated with an anti-NGF antibody. Cytokine array data were analyzed by unpaired t-tests and neurite sprouting and CGRP expression was assessed by one-way ANOVA. Results Cytokine arrays found that degenerating painful IVDs released significantly higher levels of a majority of the factors represented in the array as compared with healthy painless IVDs. Many of them are nociceptive factors including IFN-γ, IL-6, MCP-1, GRO-α. IELISA assays demonstrated higher levels of the NGF and BDNF, in media from degenerating painful discs. Increased neurite growth was observed in PC12 cell cultures maintained in degenerating IVD media compared with healthy IVD media ( p < 0.001). Anti-NGF antibodies were able to prevent neurite growth to the level found in healthy IVD media cultures ( p = 0.929). In addition, a greater number of the mouse neurons cultured in degenerating IVD conditioned media were CGRP immunoreactive compared with those cultured in healthy IVD media ( p = 0.007). The number of CGRP immunoreactive neurons was significantly reduced in the presence of anti-NGF antibodies ( p > 0.999). Conclusion Increased levels of pronociceptive and neurotrophic factors released by degenerating painful IVDs could potentiate IVD innervation and neuronal hypersensitization. Prolonged neuronal exposure to these factors could promote the development of chronic pain. The induced neurite growth and CGRP expression suggests that degenerating IVDs secrete factors that can lead to IVD innervation and nociception. NGF inhibition studies found NGF released by degenerating IVDs is required for the increased neurite growth and CGRP expression, providing evidence to support an important role for NGF in chronic low back pain associated with disc degeneration. The roles of factors besides NGF in disc degeneration require further investigation. These results suggest that degenerating, painful IVDs produce factors, which may cause neoinnervation and pain in vivo. Furthermore, this study provides evidence to support further development of anti-NGF therapies as a pain management strategy for low back pain associated with disc degeneration. Disclosure of Interest None declared References Freemont AJ, Peacock TE, Goupille P, Hoyland JA, O’Brien J, Jayson MI. Nerve ingrowth into diseased intervertebral disc in chronic back pain. Lancet 1997;350(9072):178–181 Le Maitre CL, Freemont AJ, Hoyland JA. The role of interleukin-1 in the pathogenesis of human intervertebral disc degeneration. Arthritis Res Ther 2005;7(4):R732-R745 Wuertz K, Haglund L. Inflammatory mediators in intervertebral disk degeneration and discogenic pain. Global Spine J 2013;3(3):175–184 Richardson SM, Purmessur D, Baird P, Probyn B, Freemont AJ, Hoyland JA. Degenerate human nucleus pulposus cells promote neurite outgrowth in neural cells. PLoS ONE 2012;7(10):e47735

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0060.001

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations1
Published2014
Admission routes2
Has abstractyes

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