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Record W2572734824 · doi:10.1055/s-0035-1554224

Mechanical Injury to Human Intervertebral Discs and Isolated Cells Initiates Events Implicated in Degeneration and Pain

2015· article· en· W2572734824 on OpenAlexaffabout
Lisbet Haglund, Derek H. Rosenzweig, Emerson Krock, Rahul Gawri, Thomas Steffen, Jean Ouellet, Michael H. Weber

Bibliographic record

VenueGlobal Spine Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineIntervertebral discAnnulus (botany)Cell biologyStrain (injury)NucleusAnatomyPathologyBiology

Abstract

fetched live from OpenAlex

Introduction Painful degenerating intact human intervertebral discs (IVDs) produce elevated levels of Toll-like receptors (TLRs), cytokines, and neuropeptides but events regulating their expression are poorly understood. Mechanical overload has been proposed as one potential initiating mechanism. The aim of this study was to investigate the cellular responses in IVDs and isolated disc cells exposed to mechanical overload or strain. Methods Lumbar spine segments were harvested from consenting donors via the Transplant Quebec organ donation program in Montreal, Quebec, Canada. A total of nine discs from six donors were used in this study. Intact IVDs were prepared and cells isolated using a standard technique. Intact discs with cartilaginous endplates were loaded with a single ramp compression peaking at either approximately 0.2 MPa (noninjurious) or about 1.5 MPa (injurious) stress applied at a rate of 30% strain per second. Injurious compression protocol consistently yields endplate fracture. Discs were immediately put in low serum containing media after loading. For isolated cell experiments, 2 × 10 5 nucleus pulposus (NP) and annulus fibrosus (AF) cells were seeded on flexible or static silicone dishes. The flexible dishes were exposed to a 20% magnitude cyclic mechanical strain at 0.0001 Hz was applied to the cultures for 8 h/d over 2 days. Conditioned media was collected and RNA was isolated. Quantitative RT-PCR was performed to assess TLR, NGF, and TNF gene expression. Conditioned media from intact discs and isolated cells was applied to PC12 cells and neurite outgrowth was assessed. Commercially available cytokine arrays were used to investigate protein levels of cytokines released from intact discs and isolated cells. Results Elevated levels of proteoglycan, inflammatory cytokines, and pain mediators were released from intact discs exposed to injurious loading. The highest levels were found 3 days postinjury and the conditioned media caused significantly induced neurite outgrowth in PC12 cells compared with that of the control group. About 50% of the cells in the IVDs died as a result of the inflicted trauma. Isolated NP and AF cells were exposed to a high-magnitude strain at low frequency to preserve cell attachments and maintain cell viability. The protocol was applied to evaluate if the adverse mechanical stimulation of the cells or the induced cell death caused by the injurious loading of the intact IVDs was responsible for the increased expression of inflammatory cytokines and pain mediators. Our data showed that high-magnitude low-frequency strain is sufficient to induce expression inflammatory cytokines and pain mediators in the absence of cell death. We also found a small but significant upregulation of TLR 2 and 4 in both NP and AF cells. Conclusion Cell death and cytokine production combined with loss of glycosaminoglycan indicate that mechanical injury to intact IVDs and isolated cells initiates cellular processes leading to disc degeneration. Once the proteoglycan content in the matrix has been degraded, elevated levels of NGF could lead to neuronal ingrowth directly causing pain. Increased TLR expression induced by high strain may prime cells toward a degenerate phenotype and could be a novel therapeutic target for degenerative disc disease.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.846
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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.

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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