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Record W3156779558 · doi:10.1101/2021.04.19.440384

Bone innervation and vascularization regulated by osteoclasts contribute to refractive pain-related behavior in the collagen antibody-induced arthritis model

2021· preprint· en· W3156779558 on OpenAlexaff
Resti Rudjito, Nilesh M. Agalave, Alex Bersellini Farinotti, Azar Baharpoor, Arisai Martínez Martínez, Enriqueta Muñoz Islas, Preety Panwar, Dieter Brömme, Julie Barbier, Fabien Marchand, Patrick Mehlen, Thomas Levin Andersen, Juan Miguel Jiménez‐Andrade, Camilla I. Svensson

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of British Columbia
FundersVetenskapsrådetKnut och Alice Wallenbergs StiftelseEuropean Commission
KeywordsOsteoclastBone resorptionMedicineArthritisInflammationCathepsin KRheumatoid arthritisNociceptionRANKLInternal medicineImmunologyPathologyReceptor

Abstract

fetched live from OpenAlex

ABSTRACT Objective Rheumatoid arthritis is often characterized by eroded joints and chronic pain that outlasts disease activity. Whilst several reports show strong associations between bone resorption and nociception, the underlying mechanisms remain to be unraveled. Here, we used the collagen antibody-induced arthritis (CAIA) model to examine the contribution of osteoclasts in pain regulation. The antinociceptive effects of osteoclasts inhibitors and their mechanisms of actions involving bone vascularization and innervation were also explored. Methods BALB/c female mice were subjected to CAIA by intravenous injection of a collagen type-II antibody cocktail, followed by intraperitoneal injection of lipopolysaccharide. Degree of arthritis, bone resorption, mechanical hypersensitivity, vascularization and innervation in the ankle joint were assessed. Animals were treated with osteoclast inhibitors, zoledronate and cathepsin K inhibitor (T06), and netrin-1 neutralizing antibody. Potential pronociceptive factors were examined in primary osteoclast cultures. Results CAIA induced local bone loss in the calcaneus with ongoing increased osteoclast activity during the inflammatory phase of the model, but not after inflammation has resolved. Mechanical hypersensitivity was reversed by zoledronate in late but not inflammatory phase CAIA. This effect was coupled to the ability of osteoclasts to modulate bone vascularization and innervation, which was inhibited by osteoclast inhibitors. CAIA-induced hypersensitivity in the late phase was also reversed by anti-netrin-1 antibody. Conclusion Osteoclasts induce pain-like behavior in the CAIA model independent of inflammation via effects on bone vascularization and innervation. Key messages What is already known about this subject? Pain and residual signs of erosive lesions are frequently present in rheumatoid arthritis (RA) patients with good disease control Osteoclasts can induce nociceptive signaling but the exact mechanism with respect to RA-induced pain is not clear What does this study add? The pronociceptive actions of osteoclasts extend beyond flares of joint inflammation and erosive activity by increasing bone innervation, bone vascularization and netrin-1 release Osteoclast inhibitors and neutralizing netrin-1 antibodies reverse refractive pain-related behaviors in the collagen antibody-induced arthritis model How might this impact on clinical practice or future developments? This study provides insights to the potential of osteoclast inhibition as a therapeutic strategy for persistent pain in RA

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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