Sara A. El Derbaly , Eman Mansour , E.A.E. Badr , Moustafa Bakrey Hamed Ata , Mohamed Farag Ali Assar
{"title":"连接lncRNA MEG3, RORγt和IL-17与桥本甲状腺炎免疫失调:早期诊断和监测的潜力","authors":"Sara A. El Derbaly , Eman Mansour , E.A.E. Badr , Moustafa Bakrey Hamed Ata , Mohamed Farag Ali Assar","doi":"10.1016/j.genrep.2025.102293","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The study focused on Hashimoto's thyroiditis (HT), a chronic autoimmune thyroid disorder that causes inflammation and immune-mediated damage to the thyroid gland. Investigating biomarkers could improve the diagnosis and treatment of HT. This research was conducted to explore the correlation among lncRNA MEG3, RORγt, and IL-17 gene expressions and their possible utility as diagnostic and predictive markers in HT patients.</div></div><div><h3>Methods</h3><div>The research involved 150 participants split evenly between HT patients and healthy individuals. Various assessments were performed, including histories, physical exams, and lab tests. The transcript levels of lncRNA MEG3, RORγt, and IL-17 were quantified using real-time PCR following RNA extraction from collected blood samples.</div></div><div><h3>Results</h3><div>Higher levels of lncRNA MEG3, RORγt, and IL-17 gene expressions were indicated in HT patients in comparison with those in the control group. The study found significant positive correlations between lncRNA MEG3 & RORγt, RORγt & IL-17, as well as lncRNA MEG3 & IL-17.</div></div><div><h3>Conclusion</h3><div>LncRNA MEG3 and IL-17 were identified as predictors of HT. Elevated the levels of these markers were related to the severity of the condition. LncRNA MEG3 contributes to the control of gene expression and immune activities, while IL-17 acts as a proinflammatory cytokine. They show potential as biomarkers for diagnosis and monitoring, but larger, long-term studies with protein-level validation are needed to confirm their clinical value.</div></div>","PeriodicalId":12673,"journal":{"name":"Gene Reports","volume":"40 ","pages":"Article 102293"},"PeriodicalIF":0.9000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linking lncRNA MEG3, RORγt, and IL-17 to immune dysregulation in Hashimoto's thyroiditis: Potential for early diagnosis and monitoring\",\"authors\":\"Sara A. El Derbaly , Eman Mansour , E.A.E. Badr , Moustafa Bakrey Hamed Ata , Mohamed Farag Ali Assar\",\"doi\":\"10.1016/j.genrep.2025.102293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The study focused on Hashimoto's thyroiditis (HT), a chronic autoimmune thyroid disorder that causes inflammation and immune-mediated damage to the thyroid gland. Investigating biomarkers could improve the diagnosis and treatment of HT. This research was conducted to explore the correlation among lncRNA MEG3, RORγt, and IL-17 gene expressions and their possible utility as diagnostic and predictive markers in HT patients.</div></div><div><h3>Methods</h3><div>The research involved 150 participants split evenly between HT patients and healthy individuals. Various assessments were performed, including histories, physical exams, and lab tests. The transcript levels of lncRNA MEG3, RORγt, and IL-17 were quantified using real-time PCR following RNA extraction from collected blood samples.</div></div><div><h3>Results</h3><div>Higher levels of lncRNA MEG3, RORγt, and IL-17 gene expressions were indicated in HT patients in comparison with those in the control group. The study found significant positive correlations between lncRNA MEG3 & RORγt, RORγt & IL-17, as well as lncRNA MEG3 & IL-17.</div></div><div><h3>Conclusion</h3><div>LncRNA MEG3 and IL-17 were identified as predictors of HT. Elevated the levels of these markers were related to the severity of the condition. LncRNA MEG3 contributes to the control of gene expression and immune activities, while IL-17 acts as a proinflammatory cytokine. They show potential as biomarkers for diagnosis and monitoring, but larger, long-term studies with protein-level validation are needed to confirm their clinical value.</div></div>\",\"PeriodicalId\":12673,\"journal\":{\"name\":\"Gene Reports\",\"volume\":\"40 \",\"pages\":\"Article 102293\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gene Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452014425001669\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gene Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452014425001669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Linking lncRNA MEG3, RORγt, and IL-17 to immune dysregulation in Hashimoto's thyroiditis: Potential for early diagnosis and monitoring
Background
The study focused on Hashimoto's thyroiditis (HT), a chronic autoimmune thyroid disorder that causes inflammation and immune-mediated damage to the thyroid gland. Investigating biomarkers could improve the diagnosis and treatment of HT. This research was conducted to explore the correlation among lncRNA MEG3, RORγt, and IL-17 gene expressions and their possible utility as diagnostic and predictive markers in HT patients.
Methods
The research involved 150 participants split evenly between HT patients and healthy individuals. Various assessments were performed, including histories, physical exams, and lab tests. The transcript levels of lncRNA MEG3, RORγt, and IL-17 were quantified using real-time PCR following RNA extraction from collected blood samples.
Results
Higher levels of lncRNA MEG3, RORγt, and IL-17 gene expressions were indicated in HT patients in comparison with those in the control group. The study found significant positive correlations between lncRNA MEG3 & RORγt, RORγt & IL-17, as well as lncRNA MEG3 & IL-17.
Conclusion
LncRNA MEG3 and IL-17 were identified as predictors of HT. Elevated the levels of these markers were related to the severity of the condition. LncRNA MEG3 contributes to the control of gene expression and immune activities, while IL-17 acts as a proinflammatory cytokine. They show potential as biomarkers for diagnosis and monitoring, but larger, long-term studies with protein-level validation are needed to confirm their clinical value.
Gene ReportsBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍:
Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.