Boyu Pan , Xiwen Feng , Fujian Jiang , Rui Li , Han Zhu , Kunpeng Wang
{"title":"儿童室内空气致癌物协同作用:pm2.5 -尼古丁驱动的肺肿瘤发生和靶向干预的系统跨学科方法","authors":"Boyu Pan , Xiwen Feng , Fujian Jiang , Rui Li , Han Zhu , Kunpeng Wang","doi":"10.1016/j.crtox.2025.100255","DOIUrl":null,"url":null,"abstract":"<div><div>The indoor air environment has become an essential environmental factor affecting children’s health and safety, among which nicotine and PM2.5, two common combined factors, have become pathogenic factors in indoor area that induce lung cancer in children. In order to reveal the specific mechanism of that, we developed the model of Systematic Environmental Information Medicine Engineering (SEIME), which combines environmental engineering, bioinformatics, and computational biology multidisciplinary approaches. We initially developed a comprehensive computational fluid dynamics (CFD) model, which was subsequently integrated with data from the GEO database, TCGA database, single-cell online databases, and molecular docking analyses to enhance our research framework. CFD results revealed that indoor concentrations of PM2.5 and nicotine were significantly higher than the recommended values of 15 µg/m<sup>3</sup> and 1 µg/m<sup>3</sup> in the WHO Global Air Quality Guidelines. Meanwhile, bioinformatics results indicated that MAPK and PI3K-Akt were important signaling pathways for inducing non-small cell lung cancer (NSCLC) in children. In addition, GADD45A and NPAS2, as key targets affecting children’s NSCLC, were identified. Subsequently, drug repositioning and molecular docking assays were conducted, and more importantly, related small molecule targeted drugs were screened. Therefore, this study has set up a new interdisciplinary analysis model-SEIME, using environmental information medicine engineering to solve environmental disease models under the influence of multiple factors, and providing theoretical basis for molecular target screening and disease treatment.</div></div>","PeriodicalId":11236,"journal":{"name":"Current Research in Toxicology","volume":"9 ","pages":"Article 100255"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Indoor airborne carcinogen synergy in children: systematic interdisciplinary approach to PM2.5-nicotine driven lung tumorigenesis and targeted intervention\",\"authors\":\"Boyu Pan , Xiwen Feng , Fujian Jiang , Rui Li , Han Zhu , Kunpeng Wang\",\"doi\":\"10.1016/j.crtox.2025.100255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The indoor air environment has become an essential environmental factor affecting children’s health and safety, among which nicotine and PM2.5, two common combined factors, have become pathogenic factors in indoor area that induce lung cancer in children. In order to reveal the specific mechanism of that, we developed the model of Systematic Environmental Information Medicine Engineering (SEIME), which combines environmental engineering, bioinformatics, and computational biology multidisciplinary approaches. We initially developed a comprehensive computational fluid dynamics (CFD) model, which was subsequently integrated with data from the GEO database, TCGA database, single-cell online databases, and molecular docking analyses to enhance our research framework. CFD results revealed that indoor concentrations of PM2.5 and nicotine were significantly higher than the recommended values of 15 µg/m<sup>3</sup> and 1 µg/m<sup>3</sup> in the WHO Global Air Quality Guidelines. Meanwhile, bioinformatics results indicated that MAPK and PI3K-Akt were important signaling pathways for inducing non-small cell lung cancer (NSCLC) in children. In addition, GADD45A and NPAS2, as key targets affecting children’s NSCLC, were identified. Subsequently, drug repositioning and molecular docking assays were conducted, and more importantly, related small molecule targeted drugs were screened. Therefore, this study has set up a new interdisciplinary analysis model-SEIME, using environmental information medicine engineering to solve environmental disease models under the influence of multiple factors, and providing theoretical basis for molecular target screening and disease treatment.</div></div>\",\"PeriodicalId\":11236,\"journal\":{\"name\":\"Current Research in Toxicology\",\"volume\":\"9 \",\"pages\":\"Article 100255\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Research in Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666027X25000416\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Research in Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666027X25000416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Indoor airborne carcinogen synergy in children: systematic interdisciplinary approach to PM2.5-nicotine driven lung tumorigenesis and targeted intervention
The indoor air environment has become an essential environmental factor affecting children’s health and safety, among which nicotine and PM2.5, two common combined factors, have become pathogenic factors in indoor area that induce lung cancer in children. In order to reveal the specific mechanism of that, we developed the model of Systematic Environmental Information Medicine Engineering (SEIME), which combines environmental engineering, bioinformatics, and computational biology multidisciplinary approaches. We initially developed a comprehensive computational fluid dynamics (CFD) model, which was subsequently integrated with data from the GEO database, TCGA database, single-cell online databases, and molecular docking analyses to enhance our research framework. CFD results revealed that indoor concentrations of PM2.5 and nicotine were significantly higher than the recommended values of 15 µg/m3 and 1 µg/m3 in the WHO Global Air Quality Guidelines. Meanwhile, bioinformatics results indicated that MAPK and PI3K-Akt were important signaling pathways for inducing non-small cell lung cancer (NSCLC) in children. In addition, GADD45A and NPAS2, as key targets affecting children’s NSCLC, were identified. Subsequently, drug repositioning and molecular docking assays were conducted, and more importantly, related small molecule targeted drugs were screened. Therefore, this study has set up a new interdisciplinary analysis model-SEIME, using environmental information medicine engineering to solve environmental disease models under the influence of multiple factors, and providing theoretical basis for molecular target screening and disease treatment.