{"title":"儿童肾病综合征的MicroRNA表达及靶标预测。","authors":"Pricilla Charmine, Vettriselvi Venkatesan, Sangeetha Geminiganesan, Bollam Rangaswamy Nammalwar, Mohanapriya Chinambedu Dandapani","doi":"10.25259/ijn_47_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Nephrotic syndrome is a common cause of kidney diseases in children. Many studies have examined the association of microRNAs playing potential roles in many pathophysiological functions. We investigated the expression pattern of the microRNAs miR-17-5P, miR-155p, miR-424-5p in children with steroid sensitive nephrotic syndrome (SSNS) and steroid resistance nephrotic syndrome (SRNS), along with the healthy subjects.</p><p><strong>Materials and methods: </strong>Total RNA was isolated from the urine samples from the three groups (SSNS n = 100, SRNS n = 100, and healthy control group n = 100). Bioinformatics tools such as miRWalk and miR-Tar link were used in predicting targets for the microRNAs. Online database and g profiler software are used to evaluate the targets based on the biological functions. The expression pattern for the candidate microRNAs was carried out using quantitative real time polymerase chain reaction (RT-PCR) equipment.</p><p><strong>Results: </strong>miR-424 and miR-155 were upregulated in SRNS group while miR-17 was downregulated in SRNS group. miR-424-5p and miR-155p was up regulated in SRNS group while miR-17-5p was downregulated.</p><p><strong>Conclusion: </strong>Combined analysis of gene expression along with studied candidate microRNAs can give better understanding of the pathogenesis of childhood nephrotic syndrome.</p>","PeriodicalId":13359,"journal":{"name":"Indian Journal of Nephrology","volume":"35 1","pages":"59-63"},"PeriodicalIF":0.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763170/pdf/","citationCount":"0","resultStr":"{\"title\":\"MicroRNA Expression and Target Prediction in Children with Nephrotic Syndrome.\",\"authors\":\"Pricilla Charmine, Vettriselvi Venkatesan, Sangeetha Geminiganesan, Bollam Rangaswamy Nammalwar, Mohanapriya Chinambedu Dandapani\",\"doi\":\"10.25259/ijn_47_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Nephrotic syndrome is a common cause of kidney diseases in children. Many studies have examined the association of microRNAs playing potential roles in many pathophysiological functions. We investigated the expression pattern of the microRNAs miR-17-5P, miR-155p, miR-424-5p in children with steroid sensitive nephrotic syndrome (SSNS) and steroid resistance nephrotic syndrome (SRNS), along with the healthy subjects.</p><p><strong>Materials and methods: </strong>Total RNA was isolated from the urine samples from the three groups (SSNS n = 100, SRNS n = 100, and healthy control group n = 100). Bioinformatics tools such as miRWalk and miR-Tar link were used in predicting targets for the microRNAs. Online database and g profiler software are used to evaluate the targets based on the biological functions. The expression pattern for the candidate microRNAs was carried out using quantitative real time polymerase chain reaction (RT-PCR) equipment.</p><p><strong>Results: </strong>miR-424 and miR-155 were upregulated in SRNS group while miR-17 was downregulated in SRNS group. miR-424-5p and miR-155p was up regulated in SRNS group while miR-17-5p was downregulated.</p><p><strong>Conclusion: </strong>Combined analysis of gene expression along with studied candidate microRNAs can give better understanding of the pathogenesis of childhood nephrotic syndrome.</p>\",\"PeriodicalId\":13359,\"journal\":{\"name\":\"Indian Journal of Nephrology\",\"volume\":\"35 1\",\"pages\":\"59-63\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763170/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Nephrology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25259/ijn_47_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Nephrology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25259/ijn_47_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/17 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:肾病综合征是儿童肾脏疾病的常见病因。许多研究已经检查了在许多病理生理功能中发挥潜在作用的microrna的关联。我们研究了miR-17-5P, miR-155p, miR-424-5p在类固醇敏感性肾病综合征(SSNS)和类固醇抵抗性肾病综合征(SRNS)儿童以及健康受试者中的表达模式。材料和方法:从三组(SSNS n = 100, SRNS n = 100,健康对照组n = 100)的尿液样本中分离总RNA。生物信息学工具如miRWalk和miR-Tar link用于预测microrna的靶标。利用在线数据库和gprofiler软件对靶标进行生物功能评价。候选microrna的表达模式采用实时定量聚合酶链反应(RT-PCR)设备进行。结果:miR-424和miR-155在SRNS组中上调,miR-17在SRNS组中下调。SRNS组miR-424-5p、miR-155p上调,miR-17-5p下调。结论:将基因表达与已研究的候选microrna结合分析,可以更好地了解儿童肾病综合征的发病机制。
MicroRNA Expression and Target Prediction in Children with Nephrotic Syndrome.
Background: Nephrotic syndrome is a common cause of kidney diseases in children. Many studies have examined the association of microRNAs playing potential roles in many pathophysiological functions. We investigated the expression pattern of the microRNAs miR-17-5P, miR-155p, miR-424-5p in children with steroid sensitive nephrotic syndrome (SSNS) and steroid resistance nephrotic syndrome (SRNS), along with the healthy subjects.
Materials and methods: Total RNA was isolated from the urine samples from the three groups (SSNS n = 100, SRNS n = 100, and healthy control group n = 100). Bioinformatics tools such as miRWalk and miR-Tar link were used in predicting targets for the microRNAs. Online database and g profiler software are used to evaluate the targets based on the biological functions. The expression pattern for the candidate microRNAs was carried out using quantitative real time polymerase chain reaction (RT-PCR) equipment.
Results: miR-424 and miR-155 were upregulated in SRNS group while miR-17 was downregulated in SRNS group. miR-424-5p and miR-155p was up regulated in SRNS group while miR-17-5p was downregulated.
Conclusion: Combined analysis of gene expression along with studied candidate microRNAs can give better understanding of the pathogenesis of childhood nephrotic syndrome.