MétaCan
Menu
Back to cohort
Record W4401232782 · doi:10.1002/jsp2.1359

Collagen integrity of the annulus fibrosus in degenerative disc disease individuals quantified with collagen hybridizing peptide

2024· article· en· W4401232782 on OpenAlex
Manmeet S. Dhiman, Taylor J. Bader, Dragana Ponjevic, Paul Salo, David A. Hart, Ganesh Swamy, John R. Matyas, Neil A. Duncan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJOR Spine · 2024
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsAlberta Bone and Joint Health InstituteUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStainingIntervertebral discDegenerative disc diseaseH&E stainPathologyImmunohistochemistryChemistryAnnulus (botany)AnatomyLumbarMedicineBiology

Abstract

fetched live from OpenAlex

Abstract Introduction Degenerative disc disease (DDD) is accompanied by structural changes in the intervertebral discs (IVD). Extra‐cellular matrix degradation of the annulus fibrosus (AF) has been linked with degeneration of the IVD. Collagen is a vital component of the IVD. Collagen hybridizing peptide (CHP) is an engineered protein that binds to degraded collagen, which we used to quantify collagen damage in AF. This method was used to compare AF samples obtained from donors with no DDD to AF samples from patients undergoing surgery for symptomatic DDD. Methods Fresh AF tissue was embedded in an optimal cutting temperature compound and cryosectioned at a thickness of 8 μm. Hematoxylin and Eosin staining was performed on sections for general histomorphological assessment. Serial sections were stained with Cy3‐conjugated CHP and the mean fluorescence intensity and areal fraction of Cy3‐positive staining were averaged for three regions of interest (ROI) on each CHP‐stained section. Results Increases in mean fluorescence intensity ( p = 0.0004) and percentage of positively stained area ( p = 0.00008) with CHP were detected in DDD samples compared to the non‐DDD samples. Significant correlations were observed between mean fluorescence intensity and percentage of positively stained area for both non‐DDD ( R = 0.98, p = 5E‐8) and DDD ( R = 0.79, p = 0.0012) samples. No significant differences were detected between sex and the lumbar disc level subgroups of the non‐DDD and DDD groups. Only tissue pathology (non‐DDD versus DDD) influenced the measured parameters. No three‐way interactions between tissue pathology, sex, and lumbar disc level were observed. Discussion and Conclusions These findings suggest that AF collagen degradation is greater in DDD samples compared to non‐DDD samples, as evidenced by the increased CHP staining. Strong positive correlations between the two measured parameters suggest that when collagen degradation occurs, it is detected by this technique and is widespread throughout the tissue. This study provides new insights into the structural alterations associated with collagen degradation in the AF that occur during DDD.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.307
Teacher spread0.281 · 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