MétaCan
Menu
Back to cohort
Record W3088196747 · doi:10.1021/acs.cgd.0c00759

Coacervation Conditions and Cross-Linking Determines Availability of Carbonyl Groups on Elastin and its Calcification

2020· article· en· W3088196747 on OpenAlexafffund
Peng Zhang, Ophélie Gourgas, Audrey Lainé, Monzur Murshed, Diego Mantovani, Marta Cerruti

Bibliographic record

VenueCrystal Growth & Design · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsMontreal Children's HospitalUniversité LavalMcGill University
FundersFonds Québécois de la Recherche sur la Nature et les TechnologiesHeart and Stroke Foundation of Canada
KeywordsCoacervateElastinMineralization (soil science)ChemistryCalcificationCalciumBiophysicsNucleationCalciteBiochemistryMineralogyInternal medicineOrganic chemistryPathology

Abstract

fetched live from OpenAlex

During medial calcification, calcium phosphate minerals deposit in the medial layer of arteries, causing their stiffening. Although elastin (ELN) has been shown to be the main site for mineral deposition, the sites for mineral nucleation are not clear since ELN is nearly neutral, thus intrinsically lacking binding sites for Ca2+ or PO43–. Using a three-dimensional ELN hydrogel model, this study finds that binding of Ca2+ on the carbonyl groups initiates the mineralization. Coacervation and cross-linking, which are the two steps for the gel synthesis and also intrinsic processes for in vivo ELN fiber formation, are positively correlated with the mineralization. Both processes increase the percentage of exposed carbonyl groups that are available for Ca2+ binding and subsequent mineralization. This study provides insights into the initiation of ELN mineralization as well as a new perspective on the inherent weakness of elastic tissues.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.143
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.052
GPT teacher head0.310
Teacher spread0.259 · 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 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

Citations7
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCrystal Growth & DesignSame topicConnective tissue disorders researchFrench-language works237,207