Rupak Desai, Darsh Patel, Abhishek Prasad, Navya Mandalapu, Jai Nagarajan, Ananth Guddeti, Sourabh Khatri, Warda Shahnawaz, Abdul Aleem, Adil S Mohammed, Umera Yasmeen, Muhammad Usman Ghani
{"title":"Genetic and biological determinants of pulmonary embolism: Insights from Mendelian randomization studies.","authors":"Rupak Desai, Darsh Patel, Abhishek Prasad, Navya Mandalapu, Jai Nagarajan, Ananth Guddeti, Sourabh Khatri, Warda Shahnawaz, Abdul Aleem, Adil S Mohammed, Umera Yasmeen, Muhammad Usman Ghani","doi":"10.5493/wjem.v16.i2.121046","DOIUrl":null,"url":null,"abstract":"<p><p>Pulmonary embolism (PE) is a common and potentially fatal thromboembolic disease contributing to a major global public health burden. Its pathogenesis involves multiple hemodynamic, inflammatory, metabolic, and genetic factors. The multifactorial nature of PE makes it difficult to infer the direct effects of risk factors using conventional statistical approaches because of potential confounding and reverse causality. Mendelian randomization (MR) uses genetic variants as instrumental variables to strengthen causal inference. This narrative review synthesizes the available MR literature concerning potential causative factors of PE, with particular emphasis on genetic and biological pathways. MR evidence suggests that matrix metalloproteinases (MMP)-19 may be associated with increased PE susceptibility, whereas MMP-12 may be associated with decreased susceptibility. Impaired kidney function showed a positive association with PE risk, and reduced HLA-DR<sup>+</sup> NK cell traits were linked to PE pathogenesis. Among gut microbiota, <i>Clostridium innocuum</i> was associated with increased PE risk, whereas <i>Butyricicoccus</i> and <i>Actinobacteria</i> showed protective associations. No consistent causal associations were identified for type 2 diabetes, atrial fibrillation, or epigenetic age acceleration. Larger multiethnic studies integrating multi-omics data are needed to clarify mechanisms underlying PE pathogenesis.</p>","PeriodicalId":75340,"journal":{"name":"World journal of experimental medicine","volume":"16 2","pages":"121046"},"PeriodicalIF":0.0000,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13323850/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World journal of experimental medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5493/wjem.v16.i2.121046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Pulmonary embolism (PE) is a common and potentially fatal thromboembolic disease contributing to a major global public health burden. Its pathogenesis involves multiple hemodynamic, inflammatory, metabolic, and genetic factors. The multifactorial nature of PE makes it difficult to infer the direct effects of risk factors using conventional statistical approaches because of potential confounding and reverse causality. Mendelian randomization (MR) uses genetic variants as instrumental variables to strengthen causal inference. This narrative review synthesizes the available MR literature concerning potential causative factors of PE, with particular emphasis on genetic and biological pathways. MR evidence suggests that matrix metalloproteinases (MMP)-19 may be associated with increased PE susceptibility, whereas MMP-12 may be associated with decreased susceptibility. Impaired kidney function showed a positive association with PE risk, and reduced HLA-DR+ NK cell traits were linked to PE pathogenesis. Among gut microbiota, Clostridium innocuum was associated with increased PE risk, whereas Butyricicoccus and Actinobacteria showed protective associations. No consistent causal associations were identified for type 2 diabetes, atrial fibrillation, or epigenetic age acceleration. Larger multiethnic studies integrating multi-omics data are needed to clarify mechanisms underlying PE pathogenesis.