Association Between Plasma microRNA Levels and Major Adverse Cardiovascular Events in Participants from an Epidemiological Cohort
- 1National Medical Research Center for Therapy and Preventive Medicine, Ministry of Healthcare of the Russian Federation, Petroverigsky per. 10, Bld. 3, 101000 Moscow, Russia
- 2Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 1-73, Leninskie Gory, 119991 Moscow, Russia
Abstract
Circulating microRNAs (miRNAs) are promising biomarkers of cardiovascular disease (CVD) and three-point major adverse cardiovascular events (3P-MACE): CVD death, non-fatal myocardial infarction (MI), and non-fatal stroke. The associations between plasma miRNA levels and 3P-MACE in a prospective cohort from an epidemiological study were evaluated. This nested case–control study included 479 participants: 166 cases with 3P-MACE and 313 controls matched individually for sex, exact baseline age, and region of residence. Median follow-up was 10.4 years [7.0; 11.7]. Total RNA was isolated from EDTA plasma using the miRNeasy Serum/Plasma Advanced Kit. Libraries were prepared with the QIAseq miRNA UDI Library Kit and sequenced on a NextSeq 550 (1 × 75 bp). After adjustment for six and twelve preanalytical and clinical covariates, eleven and five differentially expressed (DE) miRNAs retained significant associations with 3P-MACE or CVD death, respectively. Although these findings support plasma miRNA profiles as potential MACE biomarkers, all DE miRNAs remain exploratory. Further studies in larger independent populations with cross-validation are required before integration with traditional risk markers to predict future MACE.
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BibTeX
@article{kiseleva2026association,
title = {{Association Between Plasma microRNA Levels and Major Adverse Cardiovascular Events in Participants from an Epidemiological Cohort}},
author = {Anna V. Kiseleva and Evgeniia A. Sotnikova and Anastasia A. Zharikova and Vladimir A. Kutsenko and Asiia E. Imaeva and Yulia A. Balanova and Anna V. Kapustina and Yuri V. Vyatkin and Maria S. Pokrovskaya and Alexandra I. Ershova and Svetlana A. Shalnova and Alexey N. Meshkov and Oxana M. Drapkina},
journal = {International Journal of Molecular Sciences},
year = {2026},
month = oct,
doi = {10.3390/ijms27209221},
url = {https://www.mdpi.com/1422-0067/27/20/9221},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Association Between Plasma microRNA Levels and Major Adverse Cardiovascular Events in Participants from an Epidemiological Cohort
AU - Anna V. Kiseleva
AU - Evgeniia A. Sotnikova
AU - Anastasia A. Zharikova
AU - Vladimir A. Kutsenko
AU - Asiia E. Imaeva
AU - Yulia A. Balanova
AU - Anna V. Kapustina
AU - Yuri V. Vyatkin
AU - Maria S. Pokrovskaya
AU - Alexandra I. Ershova
AU - Svetlana A. Shalnova
AU - Alexey N. Meshkov
AU - Oxana M. Drapkina
PY - 2026
DA - 2026/10/17
JO - International Journal of Molecular Sciences
DO - 10.3390/ijms27209221
UR - https://www.mdpi.com/1422-0067/27/20/9221
AB - Circulating microRNAs (miRNAs) are promising biomarkers of cardiovascular disease (CVD) and three-point major adverse cardiovascular events (3P-MACE): CVD death, non-fatal myocardial infarction (MI), and non-fatal stroke. The associations between plasma miRNA levels and 3P-MACE in a prospective cohort from an epidemiological study were evaluated. This nested case–control study included 479 participants: 166 cases with 3P-MACE and 313 controls matched individually for sex, exact baseline age, and region of residence. Median follow-up was 10.4 years [7.0; 11.7]. Total RNA was isolated from EDTA plasma using the miRNeasy Serum/Plasma Advanced Kit. Libraries were prepared with the QIAseq miRNA UDI Library Kit and sequenced on a NextSeq 550 (1 × 75 bp). After adjustment for six and twelve preanalytical and clinical covariates, eleven and five differentially expressed (DE) miRNAs retained significant associations with 3P-MACE or CVD death, respectively. Although these findings support plasma miRNA profiles as potential MACE biomarkers, all DE miRNAs remain exploratory. Further studies in larger independent populations with cross-validation are required before integration with traditional risk markers to predict future MACE.
SN - 1422-0067
ER -