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Vascular regenerative cell content in people with elevated lipoprotein(a): primary results of the Lp(a)-VRCE study

2025· article· en· W7127574261 on OpenAlexaff
M Moroney, J H Casey, Aishwarya Krishnaraj, Y Pan, Fallon Dennis, A Z He, Raj Kumar Verma, H Teoh, A Quan, A Pandey, Javed Butler, C D Mazer, R A Byrne, D A Hess, Shailendra Verma

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsWestern University
Fundersnot available
KeywordsProgenitor cellPeripheral blood mononuclear cellDiabetes mellitusAldehyde dehydrogenaseFlow cytometryCellVascular diseaseStem cellCreatinine

Abstract

fetched live from OpenAlex

Abstract Background Elevated levels of lipoprotein(a) [Lp(a)] is an independent and causal genetic risk factor for the development of atherosclerotic cardiovascular disease (ASCVD). Vascular regenerative (VR) cell exhaustion, or the depletion of circulating progenitor cells that mediate blood vessel repair, represents a novel indicator of compromised vessel repair in people living with type 2 diabetes or obesity, and among South Asian adults with elevated CVD risk. We hypothesize that Lp(a) levels may correlate positively with VR cell depletion. Purpose The cross-sectional, observational, multi-site Lp(a)-VRCE study compared the frequencies of circulating VR cell subsets from a total of 40 individuals with Lp(a) ≥100 nmol/L [High Lp(a); n=20] and Lp(a) <100 nmol/L [Low Lp(a); n=20]. Methods Peripheral blood mononuclear cells were subject to multi-parameter flow cytometry analyses based on the activity of high aldehyde dehydrogenase (ALDH), an antioxidative enzyme that is conserved in progenitor cells, in combination with side scatter and lineage-specific cell surface markers. Results Key baseline characteristics were comparable between the study groups and are summarized in the Table. Mean (SD) Lp(a) levels for the High and Low Lp(a) subgroups were 249.9±90.8 and 28.4±18.2 nmol/L (p<0.001) respectively. Approximately one-third of the participants was female; mean age of the cohort was 59 years; mean total cholesterol and eGFR were lower, and creatinine higher in the High Lp(a) group. While most in the High Lp(a) group were on a statin (90%), only 60% of the low Lp(a) participants were taking a statin. Individuals in the High Lp(a) group had lower frequencies of ALDHhiSSClowCD133+ (43±6 vs 51±8%, p<0.001) and ALDHhiSSClowCD34+CD133+ (44±7 vs 53±11%, p<0.01) early myeloid progenitor cells with previously established vessel regenerative functions. Those in the High Lp(a) group also exhibited increased M1-like pro-inflammatory polarization among circulating monocytes (ALDHhiSSCmidCD86+CD163-, 6.5±2.8 vs 4.0±2.6%, p<0.01). Conclusion Lp(a)-VRCE provides the first translational evidence that Lp(a) levels ≥100 nmol/L are associated with reduced VR myeloid progenitor cell content that is responsible for vessel repair, and increased M1-polarized monocyte content that contributes to plaque inflammation. Recovery of vessel repair via Lp(a)-lowering strategies may represent a novel approach to decrease vascular risk.Table Figure

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.256
Teacher spread0.231 · 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
Published2025
Admission routes1
Has abstractyes

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