Mon4 as a novel monocyte subset with distinct profile and predictor of poor outcomes in individuals with myocardial infarction

Recently, a new monocyte subset known as Mon4, characterized by distinct gene expressions, has been identified but remains poorly characterized. In this study, our objective was to comprehensively characterise Mon4 in healthy individuals and explore its correlation with major adverse cardiovascular events (MACE) in patients with ST-elevation myocardial infarction (STEMI). Our study enrolled 20 healthy individuals and 245 STEMI patients who underwent primary percutaneous coronary intervention (PCI). We analysed monocyte subsets using flow cytometry and collected bone marrow samples from 11 healthy individuals. Cardiac function assessments were performed in STEMI patients through echocardiography within 3 days post-PCI. Mon4 displayed significant differences compared to Mon1, Mon2, and Mon3 in various parameters among healthy individuals, underscoring its distinct profile. In STEMI patients, above-median Mon4 counts were associated with a increased risk of MACE (hazard ratio [HR] 3.11, 95% confidence interval [CI] 1.55-6.24, p = 0.01) and heart failure (HR 3.25, 95% CI 1.14-9.24, p = 0.03) after adjusting for other predictive factors. This study highlights the unique characteristics of Mon4 and its clinical significance. The distinctive gene signature of Mon4, coupled with its association with MACE and heart failure, suggests its potential utility as a biomarker for risk assessment in MI patients. Further investigations are warranted to explore the therapeutic potential of targeting Mon4 in reducing cardiovascular complications following MACE.

Authors

Institutions

Publication Details

Journal
Journal of Thrombosis and Thrombolysis
Published
2025-05-25
DOI
https://doi.org/10.1007/s11239-025-03111-4
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mon4 as a novel monocyte subset with distinct profile and predictor of poor outcomes in individuals with myocardial infarction

Maxime Boidin, Gregory Y.H. Lip, Eduard Shantsila
Journal of Thrombosis and Thrombolysis
Immune cells in cancer
article

Mon4 as a novel monocyte subset with distinct profile and predictor of poor outcomes in individuals with myocardial infarction

Maxime Boidin, Gregory Y.H. Lip, Eduard Shantsila
article en

Abstract

Recently, a new monocyte subset known as Mon4, characterized by distinct gene expressions, has been identified but remains poorly characterized. In this study, our objective was to comprehensively characterise Mon4 in healthy individuals and explore its correlation with major adverse cardiovascular events (MACE) in patients with ST-elevation myocardial infarction (STEMI). Our study enrolled 20 healthy individuals and 245 STEMI patients who underwent primary percutaneous coronary intervention (PCI). We analysed monocyte subsets using flow cytometry and collected bone marrow samples from 11 healthy individuals. Cardiac function assessments were performed in STEMI patients through echocardiography within 3 days post-PCI. Mon4 displayed significant differences compared to Mon1, Mon2, and Mon3 in various parameters among healthy individuals, underscoring its distinct profile. In STEMI patients, above-median Mon4 counts were associated with a increased risk of MACE (hazard ratio [HR] 3.11, 95% confidence interval [CI] 1.55-6.24, p = 0.01) and heart failure (HR 3.25, 95% CI 1.14-9.24, p = 0.03) after adjusting for other predictive factors. This study highlights the unique characteristics of Mon4 and its clinical significance. The distinctive gene signature of Mon4, coupled with its association with MACE and heart failure, suggests its potential utility as a biomarker for risk assessment in MI patients. Further investigations are warranted to explore the therapeutic potential of targeting Mon4 in reducing cardiovascular complications following MACE.

Journal of Thrombosis and ThrombolysisVol. 58(6)
Manchester Metropolitan University (GB), English Institute of Sport (GB), University of Liverpool (GB), Liverpool Heart and Chest Hospital (GB), Liverpool John Moores University (GB), Aalborg University (DK)
No poverty
Openalex Percentile: Top 87%
Immune cells in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.