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Record W4413859311 · doi:10.1093/cvr/cvaf142

Vascular regenerative deficiencies in people with elevated lipoprotein(a): the Lp(a)-VRCE CardioLink-16 translational study

2025· article· en· W4413859311 on OpenAlexaff
Michael Moroney, John H. Casey, Hwee Teoh, Aishwarya Krishnaraj, Yi Pan, Adrian Quan, Shubh Patel, Fallon Dennis, Arianna Z He, Brady Park, Raj Verma, Elizabeth Misner, Ryuta Seguchi, Syed M. Ali Hassan, C.J. Dennis, Gus Meglis, Ambarish Pandey, Javed Butler, C. David Mazer, Robert A. Byrne, Marlys L. Koschinsky, David A. Hess, Subodh Verma

Bibliographic record

VenueCardiovascular Research · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of TorontoSt. Stephen's UniversityNorth York General HospitalCanada Research ChairsWestern UniversitySt. Michael's Hospital
Fundersnot available
KeywordsLipoprotein(a)MedicineLipoproteinInternal medicineCardiologyEndocrinologyBioinformaticsBiologyCholesterol

Abstract

fetched live from OpenAlex

AIMS: Lipoprotein(a) [Lp(a)] is a causal risk factor for atherosclerotic cardiovascular disease (ASCVD); however, the relationship between Lp(a) and the capacity for vascular repair remains unclear. Depletion of vascular regenerative (VR) progenitor cells has been shown to be a novel indicator of compromised vascular repair in people living with cardiometabolic disorders. The purpose of this study was to determine if elevated levels of Lp(a) modify VR cell content properties. METHODS AND RESULTS: The cross-sectional, multi-site Lipoprotein(a) and Vascular Regenerative Cell Content CardioLink-16 [Lp(a)-VRCE] study enrolled 40 individuals-20 with Lp(a) ≥100 nmol/L and 20 with Lp(a) <100 nmol/L. Isolated peripheral blood mononuclear cells were analysed by multi-parameter flow cytometry. VR progenitor cells were identified based on high aldehyde dehydrogenase (ALDH) activity, in combination with primitive vs. mature lineage-specific cell surface markers. The Lp(a) ≥100 nmol/L group exhibited baseline characteristic differences compared with the Lp(a) <100 nmol/L group such as lower estimated glomerular filtration rate (86.9 vs. 100.1 mL/min/1.73 m2), lower total cholesterol (4.0 vs. 4.8 mmol/L), greater statin use (90 vs. 60%), and a higher prevalence of ASCVD (60 vs. 25%). The Lp(a) ≥100 nmol/L group had lower frequencies of pro-angiogenic ALDHhiSSClowCD133+ (P = 0.0008) and ALDHhiSSClowCD34+CD133+ (P = 0.005) progenitor cells with pro-angiogenic secretory function. Compared with those in the Lp(a) <100 nmol/L group, individuals in the Lp(a) ≥100 nmol/L group demonstrated a higher frequency of M1-polarized pro-inflammatory monocytes (ALDHhiSSCmidCD86+CD163-; P = 0.007) and a lower frequency of ALDHhiSSChiCD49d+ granulocyte precursor cells (P = 0.04) that are involved in vessel repair. CONCLUSION: In this translational study, people with an Lp(a) ≥100 nmol/L had fewer VR cells and more pro-inflammatory polarized monocyte precursor cells than those with Lp(a) levels <100 nmol/L. These findings suggest that vessel repair activities may be compromised in individuals with elevated Lp(a) levels. REGISTRATION: Lp(a)-VRCE ClinicalTrials.gov: NCT06626659.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.040
GPT teacher head0.336
Teacher spread0.295 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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