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Record W4411089984 · doi:10.3390/jcm14124031

Association of Hepatocyte Growth Factor and Angiopoietin-2 with Systemic Cardiovascular Risk in Patients with Peripheral Artery Disease

2025· article· en· W4411089984 on OpenAlexafffund
Ben Li, Adam M Khalil, Lina Abuhalimeh, Farah Shaikh, Houssam Younes, Batool Abuhalimeh, Abdelrahman Zamzam, Rawand Abdin, Mohammad Qadura

Bibliographic record

VenueJournal of Clinical Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsMcMaster UniversityUniversity of TorontoSt. Michael's Hospital
FundersUniversity of TorontoBlair Foundation
KeywordsMedicineHepatocyte growth factorPeripheralAngiopoietin 2DiseaseArterial diseaseRisk factorInternal medicineCoronary artery diseaseAngiopoietinCardiologyVascular diseaseVascular endothelial growth factorVEGF receptors

Abstract

fetched live from OpenAlex

Background/Objectives: Major adverse cardiovascular events (MACE) are the primary cause of mortality among individuals with peripheral artery disease (PAD). Despite this, there is limited research on biomarkers that can predict MACE risk in this population. Proteins involved in angiogenesis are integral to both systemic circulation and the development of atherosclerosis, indicating their potential as prognostic markers. This study aimed to identify angiogenesis-related proteins associated with MACE risk in PAD patients. Methods: We conducted a prospective cohort study involving 250 patients diagnosed with PAD. At baseline, plasma levels of 17 angiogenesis-related proteins were measured. Participants were followed for two years, with the primary outcome being the incidence of MACE—a composite of stroke, myocardial infarction, or death. Protein concentrations were compared between those who experienced 2-year MACE and those who did not using the Mann–Whitney U test. Proteins showing significant differences were further analyzed using Cox proportional hazards modeling to assess their independent associations with MACE, adjusting for baseline demographic and clinical variables, including prior coronary and cerebrovascular disease. Kaplan–Meier survival analysis was also employed to compare MACE-free survival based on protein concentration levels. Results: The average age of participants was 69 years (SD 9), with 32% (n = 80) being female. Over the two-year follow-up, 48 patients (19.8%) experienced MACE. Among the proteins assessed, only hepatocyte growth factor (HGF) and angiopoietin-2 were significantly elevated in patients who developed MACE (HGF: 390.83 [SD 319.16] vs. 300.55 [SD 177.53] pg/mL, p < 0.001; angiopoietin-2: 23.67 [SD 17.60] vs. 19.36 [SD 12.06] pg/mL, p = 0.020). Multivariable Cox analysis confirmed that elevated levels of both HGF (adjusted HR 1.37; 95% CI 1.14–1.64; p = 0.001) and angiopoietin-2 (adjusted HR 1.27; 95% CI 1.04–1.55; p = 0.016) were independently associated with increased 2-year MACE risk. Kaplan–Meier curves demonstrated significantly reduced MACE-free survival in patients with higher levels of HGF and angiopoietin-2. Conclusions: HGF and angiopoietin-2 emerged as significant, independent predictors of 2-year MACE in patients with PAD. Measuring plasma levels of these proteins may enhance risk stratification, guiding referrals to appropriate cardiovascular specialists and informing the intensity of medical management. This biomarker-based precision medicine approach holds potential for improving cardiovascular outcomes in the PAD population.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.281
Teacher spread0.270 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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