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Record W2397954156 · doi:10.1055/s-0036-1582633

Degradome of the Interverteral Disc

2016· article· en· W2397954156 on OpenAlexaff
Vivian Tam, Nestor Solis, Christopher M. Overall, Théo Klein, Kmc Cheung, Kathryn S.E. Cheah, Danny Chan

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIntervertebral discCell biologyMatrix metalloproteinaseDegeneration (medical)ProteaseChemistryNucleusBiophysicsBiochemistryAnatomyEnzymeBiologyPathologyMedicine

Abstract

fetched live from OpenAlex

Introduction The intervertebral disc (IVD) is a complex structure consisting of the nucleus pulposus (NP), annulus fibrosus (AF) and cartilage endplates (EP), which work collectively for proper disc function. Both aging and degeneration alter the biochemical and mechanical function of the IVD – potentially leading to degeneration, which is still not fully understood. In human IVD, sparsely populated cells embedded within the matrix are responsible for the production of matrix, of which its upkeep is important for disc maintenance and function. However, the processes involved with disc maintenance in the non-degenerated condition, versus those that lead to IVD degeneration remain to be identified. Moreover, the presence of reported enzymes in the IVD are likely to contribute to matrix changes by cleaving proteins, thereby altering protein function, and potentially disc function. Studying the degradome of the IVD may identify fragmented proteins and enzymes that degrade these proteins and elucidate events that occur in IVD maintenance versus IVD degeneration, of which cannot be identified by conventional mass spectrometry techniques. Here, we examined the degradome of non-degenerated and degenerated IVD using Terminal Amine Isotopic Labeling of Substrates (TAILS) which facilitates the enrichment of N-termini peptides of degraded protein fragments. Material and Methods NP and AF isolated from three non-degenerated IVD and three degenerated IVD were snap frozen and pulverized in liquid nitrogen. Samples were extracted with 1% SDS with protease inhibitor. N-terminal peptides were enriched using the TAILS method. Briefly, each sample was individually labeled with a Tandem Mass Tag (TMT) and mixed together at equal ratios. The pooled sample was digested with trypsin, and the peptides containing free amines were depleted by polymerization. Samples were analyzed by mass spectrometry (Bruker Daltonics Impact II QTOF), and data analyzed using Scaffold Software. Results Sixty-one peptides (corresponding to 61 protein fragments) were identified in the NP samples. Degenerate NP had more cleaved matrix proteins, including fibronectin, COMP, and lubricin. In non-degenerated NP, the cleaved proteins included collagen II and lysozyme. Ninety-one peptides (corresponding to 91 protein fragments) were identified in the AF samples. Degenerated AF had more cleaved matrix proteins including COMP and fibronectin, in addition to CILP and HAPLN1. Non-degenerate AF had more cleaved collagen I, II, and VI. Conclusion In degenerate AF and NP, the presence of more cleaved matrix proteins, particularly those that are associated with stability, can potentially lead to alterations in the mechanical properties and function of the IVD. Conversely, the cleaved proteins in the non-degenerate tissue could indicate turnover of proteins associated with maintaining a non-degenerate disc environment (such as collagen II in NP, and collagens I and II in AF). Understanding the degenerative process and maintenance of the disc via analysis of the degradome can highlight events that are occurring in health and in degeneration, in addition to the identification of enzymes that cleave these proteins, of which are currently in progress. Acknowledgment This work was supported by the Research Grants Committee of Hong Kong–Theme-based Research Scheme (T-12–708/12N).

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.001

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 head0.013
GPT teacher head0.287
Teacher spread0.275 · 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
Published2016
Admission routes1
Has abstractyes

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