Eun Jeong Jang, Da Hoon Lee, Yubin Song, Jung Sun Kim, Young Ju Kim, Jeong Yee, Hye Sun Gwak
{"title":"早产患者中PPARG和PPARGC1A多态性与利托宁诱导的不良事件的关系","authors":"Eun Jeong Jang, Da Hoon Lee, Yubin Song, Jung Sun Kim, Young Ju Kim, Jeong Yee, Hye Sun Gwak","doi":"10.3390/jpm15050212","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objectives:</b> Ritodrine, a tocolytic agent used to delay preterm labor, can cause several cardiovascular-associated adverse events (AEs). This study aimed to examine the relationship between gene polymorphisms in peroxisome proliferator-activated receptor gamma (<i>PPARG</i>) and PPARG coactivator-1α (<i>PPARGC1A</i>) and the occurrence of ritodrine-induced AEs. Additionally, a risk-scoring system was developed to identify patients at high risk of AEs. <b>Methods:</b> Patients aged 18 years or older who were administered ritodrine to manage preterm labor with intact membranes and uterine contractions occurring at 20-36 weeks of gestation were enrolled in this study. A total of 70 common <i>PPARG</i> and <i>PPARGC1A</i> variants (minor allele frequency ≥ 0.2) with low linkage disequilibrium (r<sup>2</sup> < 0.8) were selected from an Axiom™ Precision Medicine Research Array (AMPRA). <b>Results:</b> A total of 149 patients were included in the analysis. After adjusting for confounders (age, gestational age, and the maximum infusion rate), weight and rs2946385, rs35523565, and rs2240748 of <i>PPARGC1A</i> were identified as significant predictors associated with ritodrine-induced AEs. Based on the risk-scoring system, the predicted probabilities of AEs for patients with scores of 0, 1, 2, 3, 4, and 5 points were 4%, 9%, 18%, 35%, 55%, and 74%, respectively. The AUROC for the risk score predicting ritodrine-induced AEs was 0.729 (95% CI: 0.672-0.831, <i>p</i> < 0.001). <b>Conclusions:</b> This study indicates that ritodrine-induced AEs are related to <i>PPARGC1A</i> polymorphisms. A risk-scoring system based on genetic variants showed moderate predictive ability for ritodrine-induced AEs, suggesting potential utility in females with preterm labor.</p>","PeriodicalId":16722,"journal":{"name":"Journal of Personalized Medicine","volume":"15 5","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12113205/pdf/","citationCount":"0","resultStr":"{\"title\":\"Associations of <i>PPARG</i> and <i>PPARGC1A</i> Polymorphisms with Ritodrine-Induced Adverse Events in Patients with Preterm Labor.\",\"authors\":\"Eun Jeong Jang, Da Hoon Lee, Yubin Song, Jung Sun Kim, Young Ju Kim, Jeong Yee, Hye Sun Gwak\",\"doi\":\"10.3390/jpm15050212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objectives:</b> Ritodrine, a tocolytic agent used to delay preterm labor, can cause several cardiovascular-associated adverse events (AEs). This study aimed to examine the relationship between gene polymorphisms in peroxisome proliferator-activated receptor gamma (<i>PPARG</i>) and PPARG coactivator-1α (<i>PPARGC1A</i>) and the occurrence of ritodrine-induced AEs. Additionally, a risk-scoring system was developed to identify patients at high risk of AEs. <b>Methods:</b> Patients aged 18 years or older who were administered ritodrine to manage preterm labor with intact membranes and uterine contractions occurring at 20-36 weeks of gestation were enrolled in this study. A total of 70 common <i>PPARG</i> and <i>PPARGC1A</i> variants (minor allele frequency ≥ 0.2) with low linkage disequilibrium (r<sup>2</sup> < 0.8) were selected from an Axiom™ Precision Medicine Research Array (AMPRA). <b>Results:</b> A total of 149 patients were included in the analysis. After adjusting for confounders (age, gestational age, and the maximum infusion rate), weight and rs2946385, rs35523565, and rs2240748 of <i>PPARGC1A</i> were identified as significant predictors associated with ritodrine-induced AEs. Based on the risk-scoring system, the predicted probabilities of AEs for patients with scores of 0, 1, 2, 3, 4, and 5 points were 4%, 9%, 18%, 35%, 55%, and 74%, respectively. The AUROC for the risk score predicting ritodrine-induced AEs was 0.729 (95% CI: 0.672-0.831, <i>p</i> < 0.001). <b>Conclusions:</b> This study indicates that ritodrine-induced AEs are related to <i>PPARGC1A</i> polymorphisms. A risk-scoring system based on genetic variants showed moderate predictive ability for ritodrine-induced AEs, suggesting potential utility in females with preterm labor.</p>\",\"PeriodicalId\":16722,\"journal\":{\"name\":\"Journal of Personalized Medicine\",\"volume\":\"15 5\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12113205/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Personalized Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/jpm15050212\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jpm15050212","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Associations of PPARG and PPARGC1A Polymorphisms with Ritodrine-Induced Adverse Events in Patients with Preterm Labor.
Objectives: Ritodrine, a tocolytic agent used to delay preterm labor, can cause several cardiovascular-associated adverse events (AEs). This study aimed to examine the relationship between gene polymorphisms in peroxisome proliferator-activated receptor gamma (PPARG) and PPARG coactivator-1α (PPARGC1A) and the occurrence of ritodrine-induced AEs. Additionally, a risk-scoring system was developed to identify patients at high risk of AEs. Methods: Patients aged 18 years or older who were administered ritodrine to manage preterm labor with intact membranes and uterine contractions occurring at 20-36 weeks of gestation were enrolled in this study. A total of 70 common PPARG and PPARGC1A variants (minor allele frequency ≥ 0.2) with low linkage disequilibrium (r2 < 0.8) were selected from an Axiom™ Precision Medicine Research Array (AMPRA). Results: A total of 149 patients were included in the analysis. After adjusting for confounders (age, gestational age, and the maximum infusion rate), weight and rs2946385, rs35523565, and rs2240748 of PPARGC1A were identified as significant predictors associated with ritodrine-induced AEs. Based on the risk-scoring system, the predicted probabilities of AEs for patients with scores of 0, 1, 2, 3, 4, and 5 points were 4%, 9%, 18%, 35%, 55%, and 74%, respectively. The AUROC for the risk score predicting ritodrine-induced AEs was 0.729 (95% CI: 0.672-0.831, p < 0.001). Conclusions: This study indicates that ritodrine-induced AEs are related to PPARGC1A polymorphisms. A risk-scoring system based on genetic variants showed moderate predictive ability for ritodrine-induced AEs, suggesting potential utility in females with preterm labor.
期刊介绍:
Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.