The baseline predictive value of the RNA-binding proteins IGF2BP3/IMP3 and UPF1 for in-stent restenosis after percutaneous coronary intervention in acute coronary syndrome: a retrospective cohort study

Objective To investigate the predictive capacity of baseline (pre-procedural) RNA-binding proteins insulin-like growth factor II mRNA-binding protein 3 (IGF2BP3/IMP3), upstream frameshift protein 1 (UPF1), and in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS). Methods A total of 1,380 ACS patients who underwent PCI at the Affiliated Hospital of Qingdao University from February 2020 to February 2024 were divided into ISR ( n = 216) and non-ISR ( n = 1,164) groups based on coronary angiography results 6 months post-procedure. Clinical, laboratory, and echocardiographic data were compared. Multivariate logistic regression identified ISR risk factors, and receiver operating characteristic (ROC) analysis evaluated the predictive value of IGF2BP3/IMP3 and UPF1. Results VEGF and IGF2BP3/IMP3 levels were significantly lower, while UPF1 was higher, in the ISR group ( P < 0.05). Compared with the non-ISR group, patients in the ISR group were significantly older, had higher proportions of current smokers and diabetes mellitus, elevated CRP levels, and worse echocardiographic parameters ( P < 0.05). Average stent length, stent numbers, and SYNTAX scores were also significantly different between the two groups ( P < 0.05). There were no significant differences in male gender, hypertension prevalence, or culprit vessel distribution. Multivariate logistic regression adjusted for clinical covariates (age, sex, current smoking, hypertension, and diabetes mellitus) identified that IGF2BP3/IMP3 (adjusted OR = 0.551, 95% CI: 0.354–0.860, P = 0.009) was independently associated with lower odds of ISR, whereas UPF1 (adjusted OR = 5.496, 95% CI: 1.906–15.852, P = 0.002) was independently associated with an increased likelihood of ISR ( P < 0.05). Furthermore, IGF2BP3/IMP3 was positively correlated with VEGF ( r = 0.192, P < 0.001), whereas UPF1 was negatively correlated with VEGF ( r = −0.239, P < 0.001). The UPF1/IGF2BP3/IMP3 ratio had the highest statistical predictive value for ISR (AUC = 0.870, 95% CI: 0.846−0.894, optimism-corrected AUC = 0.870, sensitivity 79.6%, specificity 79.0%). Conclusion Decreased IGF2BP3/IMP3 and VEGF and increased UPF1 are associated with ISR after PCI. The baseline UPF1/(IGF2BP3/IMP3) ratio provides strong longitudinal predictive value for post-PCI ISR in ACS patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-10-30
DOI
https://doi.org/10.3389/fcvm.2026.2001481
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The baseline predictive value of the RNA-binding proteins IGF2BP3/IMP3 and UPF1 for in-stent restenosis after percutaneous coronary intervention in acute coronary syndrome: a retrospective cohort study

Bin Yang, Haoran Wan, Yuying Liu
2 links
Frontiers in Cardiovascular Medicine
Coronary Interventions and Diagnostics
article

The baseline predictive value of the RNA-binding proteins IGF2BP3/IMP3 and UPF1 for in-stent restenosis after percutaneous coronary intervention in acute coronary syndrome: a retrospective cohort study

Bin Yang, Haoran Wan, Yuying Liu
article en

Abstract

Objective To investigate the predictive capacity of baseline (pre-procedural) RNA-binding proteins insulin-like growth factor II mRNA-binding protein 3 (IGF2BP3/IMP3), upstream frameshift protein 1 (UPF1), and in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS). Methods A total of 1,380 ACS patients who underwent PCI at the Affiliated Hospital of Qingdao University from February 2020 to February 2024 were divided into ISR ( n = 216) and non-ISR ( n = 1,164) groups based on coronary angiography results 6 months post-procedure. Clinical, laboratory, and echocardiographic data were compared. Multivariate logistic regression identified ISR risk factors, and receiver operating characteristic (ROC) analysis evaluated the predictive value of IGF2BP3/IMP3 and UPF1. Results VEGF and IGF2BP3/IMP3 levels were significantly lower, while UPF1 was higher, in the ISR group ( P < 0.05). Compared with the non-ISR group, patients in the ISR group were significantly older, had higher proportions of current smokers and diabetes mellitus, elevated CRP levels, and worse echocardiographic parameters ( P < 0.05). Average stent length, stent numbers, and SYNTAX scores were also significantly different between the two groups ( P < 0.05). There were no significant differences in male gender, hypertension prevalence, or culprit vessel distribution. Multivariate logistic regression adjusted for clinical covariates (age, sex, current smoking, hypertension, and diabetes mellitus) identified that IGF2BP3/IMP3 (adjusted OR = 0.551, 95% CI: 0.354–0.860, P = 0.009) was independently associated with lower odds of ISR, whereas UPF1 (adjusted OR = 5.496, 95% CI: 1.906–15.852, P = 0.002) was independently associated with an increased likelihood of ISR ( P < 0.05). Furthermore, IGF2BP3/IMP3 was positively correlated with VEGF ( r = 0.192, P < 0.001), whereas UPF1 was negatively correlated with VEGF ( r = −0.239, P < 0.001). The UPF1/IGF2BP3/IMP3 ratio had the highest statistical predictive value for ISR (AUC = 0.870, 95% CI: 0.846−0.894, optimism-corrected AUC = 0.870, sensitivity 79.6%, specificity 79.0%). Conclusion Decreased IGF2BP3/IMP3 and VEGF and increased UPF1 are associated with ISR after PCI. The baseline UPF1/(IGF2BP3/IMP3) ratio provides strong longitudinal predictive value for post-PCI ISR in ACS patients.

Frontiers in Cardiovascular MedicineVol. 13
Affiliated Hospital of Qingdao University (CN)
Good health and well-being
Openalex Percentile: Top 10%
Coronary Interventions and Diagnostics
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.

Laika access coming soon