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Record W4230237683 · doi:10.1055/s-0032-1318685

Effects of Running Exercise on Disk Degeneration and Low Back Pain in Mice

2012· article· en· W4230237683 on OpenAlexaff
A. Danco, Magali Millecamps, Maral Tajerian, Laura S. Stone

Bibliographic record

VenueGlobal Spine Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineDegeneration (medical)Low back painLumbarTreadmillPopulationPhysical therapyInternal medicinePathologySurgery

Abstract

fetched live from OpenAlex

IntroductionChronic low back pain (LBP) affects over 10% of the adult population and seriously decreases quality of life. The aging intervertebral disk (IVD) is prone to degeneration, which is associated with an increased risk of LBP. (Luoma et al., 2000) Physical activity influences IVD physiology. Animal studies show that cyclic loading increases proteoglycan synthesis in the disk suggesting a role for running exercise in disk repair. (Brisby et al., 2010) Additionally, an active lifestyle has been shown to either contribute to the onset of chronic pain onset or to be protective against chronic pain depending on the circumstances.Our laboratory has validated a rodent model of LBP, the aging SPARC-null mouse. These mice demonstrate accelerated lumbar disk degeneration as they age, similar to the degeneration observed in human subjects with LBP. SPARC-null mice also display axial and radiating pain that mirrors LBP in humans and is pharmacologically reversible. (Millecamps, Tajerian, Sage, & Stone, 2011)Hypothesis Habitual running exercise will delay disk degeneration and decrease pain behavior in aging SPARC-null mice. Materials and MethodsTotal 2- to 3-month-old male SPARC-null and C57B wild type mice were used in this study. After recording baseline behavioral measurements, animals had free access to either a circular treadmill (exercise group) or a fixed nonrotating treadmill (control group) in their home cages. Axial LBP was assessed using the tail suspension test and radiating LBP was assessed using the acetone test for cold hypersensitivity in the hindpaw. SPARC-null mice exhibit signs of both axial and radiating LBP in these assays that is sensitive to pharmacological manipulation. Additional assays included tests for mechanical sensory thresholds and motor capacity. Tests were performed at 2 weeks and monthly thereafter. ResultsAfter 2 months with access to running wheels, SPARC-null mice show significantly reduced cold sensitivity in the hindpaw compared to baseline (p < 0.05) and control group (p < 0.01) with no accompanying change in mechanical sensitivity, indicating a reduction of radiating pain. No effect on axial pain was detected in the tail suspension test, suggesting an effect specific to radiating pain. ConclusionTotal 2 months of voluntary running exercise partially reversed the development of radiating LBP in SPARC-null mice. Reversal of axial pain may require longer exposure.Future studies These mice will be followed for 6 months postwheel exposure. Following sacrifice, disk degeneration will be assessed using radiographic and histological methods. Disk innervation will be determined by immunohistochemistry, and the relationships between anatomical and behavioral measures will be determined.I confirm having declared any potential conflict of interest for all authors listed on this abstractNoDisclosure of InterestNone declaredBrisby, H., Wei, A. Q., Molloy, T., Chung, S. A., Murrell, G. A., Diwan, A. D. The effect of running exercise on intervertebral disk extracellular matrix production in a rat model Spine 2010;35(15):1429–1436Luoma, K., Riihimäki, H., Luukkonen, R., Raininko, R., Viikari-Juntura, E., Lamminen, A. Low back pain in relation to lumbar disk degeneration Spine 2000;25(4):487–492Millecamps, M., Tajerian, M., Sage, E. H., Stone, L. S. Behavioral signs of chronic back pain in the SPARC-null mouse Spine 2011;36(2):95–102

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)0.001
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.009
GPT teacher head0.274
Teacher spread0.265 · 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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Citations0
Published2012
Admission routes1
Has abstractyes

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