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Record W4410712457 · doi:10.1016/j.actbio.2025.05.059

Poly(vinyl alcohol) reduced and capped gold nanoparticles as contrast enhancers to target and improve detection of medial calcification

2025· article· en· W4410712457 on OpenAlexafffund
Kyoungmi Bak, Dahyun Kyung, Monzur Murshed, Marta Cerruti

Bibliographic record

VenueActa Biomaterialia · 2025
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsMontreal Children's HospitalShriners Hospitals for Children - CanadaMcGill University
FundersFonds de recherche du Québec – Nature et technologiesCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMcGill University Health Centre
KeywordsVinyl alcoholMaterials scienceCalcificationContrast (vision)NanoparticleAlcoholEnhancerColloidal goldBiomedical engineeringNanotechnologyMedicineComposite materialRadiologyOrganic chemistryChemistryComputer scienceBiochemistryArtificial intelligencePolymer

Abstract

fetched live from OpenAlex

Medial calcification is the pathological deposition of calcium phosphate (CaP) minerals in the elastin-rich medial layers of arteries, leading to vessel stiffening and increased risk of heart failure. There are no drugs to treat medial calcification, and thus it would be important to detect the disease as early as possible to enable adequate prevention. In the clinic, X-ray based computed tomography (CT) is used to diagnose medial calcification, but the few and small CaP minerals present in early stages of medial calcification do not provide enough X-ray contrast to be detectable by CT. Herein, we propose poly(vinyl alcohol) (PVA) reduced and capped gold nanoparticles (PVA@AuNPs) to target medial calcification and improve its detection in early stages. AuNPs can greatly absorb X-rays and thus work as contrast enhancers for CT. Results show that PVA@AuNPs can bind to CaP minerals containing hydroxyl ions on their surface, most likely via hydrogen-bond interactions with PVA capping polymers; indeed, mineral binding efficiency depends on the hydrolysis degree of PVA. AuNPs prepared from 99 %+ hydrolyzed PVA (PVA99@AuNPs) bind selectively to calcified vs. non-calcified elastin in vitro, and in vivo they improve the contrast of medial calcification in 4-week-old matrix Gla-protein deficient mice imaged through micro-CT. STATEMENT OF SIGNIFICANCE: The few and small calcium phosphate (CaP) minerals present in early stages of medial calcification do not provide enough contrast for clinical detection via computed tomography (CT). Herein, we show that 99 %+ hydrolyzed poly(vinyl alcohol) reduced and capped gold nanoparticles (PVA99@AuNPs) selectively bind CaP minerals in medial calcification, thus improving their contrast and (micro)CT detection. Unlike previously proposed targeting agents, PVA99@AuNPs bind to CaP mineral phases present in early-stage medial calcification but not to the extracellular matrix onto which minerals are deposited, thus enabling accurate and specific targeting. Their straightforward synthesis and biocompatibility significantly enhance their potential for clinical translation. Earlier detection of medial calcification would greatly improve disease management, particularly important since no treatments are available for the disease.

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)0.000
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 score0.003
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.227
Teacher spread0.222 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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