Rafael Escate, Juan F Sánchez Muñoz-Torrero, Marta Mauri, Pedro Mata, Lina Badimon, Teresa Padro
{"title":"家族性高胆固醇血症中与高脂蛋白(A)和冠状动脉钙化相关的miRNA特征","authors":"Rafael Escate, Juan F Sánchez Muñoz-Torrero, Marta Mauri, Pedro Mata, Lina Badimon, Teresa Padro","doi":"10.1016/j.csbj.2025.09.026","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>High lipoprotein(a) [Lp(a)] levels are associated with increased coronary artery calcification (CAC) in familial hypercholesterolaemia (FH) patients. However, mechanisms linking high Lp(a) with CAC remain poorly understood. In this study, we have performed a bioinformatics and system biology analysis to identify miRNAs and their target genes involved in Lp(a)-associated atherosclerotic lesion and coronary calcification in FH patients.</p><p><strong>Methods: </strong>Patients with a genetic diagnosis of FH (<i>n</i> = 24) from the SAFEHEART were included in the study. Plasma miRNA signature was obtained using Affymetrix miRNA microarrays from patients with FH grouped using an Lp(a) cut-off of (>50 mg/dL) and presence or absence of coronary artery calcification [CCS(+) or CCS(-)]. <i>In silico</i> analyses were performed to identify potential miRNA target genes.</p><p><strong>Results: </strong>Forty-two miRNAs had > 1.5-fold difference in their detection levels when grouped by Lp(a) [FH-Lp(a)> 50 (<i>n</i> = 9) <i>vs</i> FH-Lp(a)< 50 (<i>n</i> = 15)]. Among these, 9 miRNAs were associated with CCS(+) (miR-1228-5p, miR-3940-5p, miR-1237-5p, miR-3196, miR-6765-5p, miR-6786-5p, miR-4486, miR-6821-5p and miR-1908-5p). <i>In silico</i> analysis, identified 68 target genes of these 9 miRNAs in lipid and atherosclerosis pathways (KEGG code: hsa05417). Network analysis revealed seven target genes (AKT3, APAF1, BCL2L1, TRAF6, MYD88, STAT3, and CASP9) with stronger interactions and higher binding probability for the nine-miRNA signature, mainly linked to lipid metabolism, inflammation and calcification processes.</p><p><strong>Conclusion: </strong>Our results identify a miRNA signature that regulates atherosclerotic processes associated with high Lp(a) levels and CAC in asymptomatic FH patients. These findings offer new insights into the underlying mechanisms and highlight potential therapeutic targets.</p>","PeriodicalId":10715,"journal":{"name":"Computational and structural biotechnology journal","volume":"27 ","pages":"4096-4105"},"PeriodicalIF":4.1000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12481025/pdf/","citationCount":"0","resultStr":"{\"title\":\"A miRNA signature linked to high lipoprotein (a) and coronary calcification in familial hypercholesterolaemia.\",\"authors\":\"Rafael Escate, Juan F Sánchez Muñoz-Torrero, Marta Mauri, Pedro Mata, Lina Badimon, Teresa Padro\",\"doi\":\"10.1016/j.csbj.2025.09.026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>High lipoprotein(a) [Lp(a)] levels are associated with increased coronary artery calcification (CAC) in familial hypercholesterolaemia (FH) patients. However, mechanisms linking high Lp(a) with CAC remain poorly understood. In this study, we have performed a bioinformatics and system biology analysis to identify miRNAs and their target genes involved in Lp(a)-associated atherosclerotic lesion and coronary calcification in FH patients.</p><p><strong>Methods: </strong>Patients with a genetic diagnosis of FH (<i>n</i> = 24) from the SAFEHEART were included in the study. Plasma miRNA signature was obtained using Affymetrix miRNA microarrays from patients with FH grouped using an Lp(a) cut-off of (>50 mg/dL) and presence or absence of coronary artery calcification [CCS(+) or CCS(-)]. <i>In silico</i> analyses were performed to identify potential miRNA target genes.</p><p><strong>Results: </strong>Forty-two miRNAs had > 1.5-fold difference in their detection levels when grouped by Lp(a) [FH-Lp(a)> 50 (<i>n</i> = 9) <i>vs</i> FH-Lp(a)< 50 (<i>n</i> = 15)]. Among these, 9 miRNAs were associated with CCS(+) (miR-1228-5p, miR-3940-5p, miR-1237-5p, miR-3196, miR-6765-5p, miR-6786-5p, miR-4486, miR-6821-5p and miR-1908-5p). <i>In silico</i> analysis, identified 68 target genes of these 9 miRNAs in lipid and atherosclerosis pathways (KEGG code: hsa05417). Network analysis revealed seven target genes (AKT3, APAF1, BCL2L1, TRAF6, MYD88, STAT3, and CASP9) with stronger interactions and higher binding probability for the nine-miRNA signature, mainly linked to lipid metabolism, inflammation and calcification processes.</p><p><strong>Conclusion: </strong>Our results identify a miRNA signature that regulates atherosclerotic processes associated with high Lp(a) levels and CAC in asymptomatic FH patients. These findings offer new insights into the underlying mechanisms and highlight potential therapeutic targets.</p>\",\"PeriodicalId\":10715,\"journal\":{\"name\":\"Computational and structural biotechnology journal\",\"volume\":\"27 \",\"pages\":\"4096-4105\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12481025/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and structural biotechnology journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.csbj.2025.09.026\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and structural biotechnology journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.csbj.2025.09.026","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
A miRNA signature linked to high lipoprotein (a) and coronary calcification in familial hypercholesterolaemia.
Background: High lipoprotein(a) [Lp(a)] levels are associated with increased coronary artery calcification (CAC) in familial hypercholesterolaemia (FH) patients. However, mechanisms linking high Lp(a) with CAC remain poorly understood. In this study, we have performed a bioinformatics and system biology analysis to identify miRNAs and their target genes involved in Lp(a)-associated atherosclerotic lesion and coronary calcification in FH patients.
Methods: Patients with a genetic diagnosis of FH (n = 24) from the SAFEHEART were included in the study. Plasma miRNA signature was obtained using Affymetrix miRNA microarrays from patients with FH grouped using an Lp(a) cut-off of (>50 mg/dL) and presence or absence of coronary artery calcification [CCS(+) or CCS(-)]. In silico analyses were performed to identify potential miRNA target genes.
Results: Forty-two miRNAs had > 1.5-fold difference in their detection levels when grouped by Lp(a) [FH-Lp(a)> 50 (n = 9) vs FH-Lp(a)< 50 (n = 15)]. Among these, 9 miRNAs were associated with CCS(+) (miR-1228-5p, miR-3940-5p, miR-1237-5p, miR-3196, miR-6765-5p, miR-6786-5p, miR-4486, miR-6821-5p and miR-1908-5p). In silico analysis, identified 68 target genes of these 9 miRNAs in lipid and atherosclerosis pathways (KEGG code: hsa05417). Network analysis revealed seven target genes (AKT3, APAF1, BCL2L1, TRAF6, MYD88, STAT3, and CASP9) with stronger interactions and higher binding probability for the nine-miRNA signature, mainly linked to lipid metabolism, inflammation and calcification processes.
Conclusion: Our results identify a miRNA signature that regulates atherosclerotic processes associated with high Lp(a) levels and CAC in asymptomatic FH patients. These findings offer new insights into the underlying mechanisms and highlight potential therapeutic targets.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology