Chenxi Yang, Yi Chen, Guangfeng Tang, Tongtong Shen, Li Li
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Furthermore, receiver operating characteristic (ROC) curve and logistic regression analyses were performed to determine the diagnostic value of JUN and FOSB in MetS. The expression profiles and RT-qPCR results showed that JUN and FOSB were highly expressed in individuals with obesity, obese mouse models, and patients with MetS. The ROC analysis results showed an area under the curve values of 0.872 and 0.879 for JUN, 0.802 and 0.962 for FOSB, and 0.946 and 0.979 for JUN–FOSB in the lean group and the group with obesity, respectively, in predicting MetS. Logistic regression analysis showed that the <i>p</i>-values of both JUN and FOSB as MetS-affecting factors were <0.05. Altogether, the findings of this study indicate that both JUN and FOSB, abnormally expressed in individuals with obesity, are good biomarkers of MetS.</p>\n<p></p>","PeriodicalId":11631,"journal":{"name":"Endocrine journal","volume":"15 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dysregulation of c-Jun (JUN) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) in obese people and their predictive values for metabolic syndrome\",\"authors\":\"Chenxi Yang, Yi Chen, Guangfeng Tang, Tongtong Shen, Li Li\",\"doi\":\"10.1507/endocrj.ej24-0256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"</p><p>The incidences of metabolic syndrome (MetS), denoting insulin resistance-associated various metabolic disorders, are increasing. 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The ROC analysis results showed an area under the curve values of 0.872 and 0.879 for JUN, 0.802 and 0.962 for FOSB, and 0.946 and 0.979 for JUN–FOSB in the lean group and the group with obesity, respectively, in predicting MetS. Logistic regression analysis showed that the <i>p</i>-values of both JUN and FOSB as MetS-affecting factors were <0.05. 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引用次数: 0
摘要
代谢综合征(MetS)是指与胰岛素抵抗相关的各种代谢紊乱,其发病率正在不断上升。本研究旨在确定预测 MetS 的新生物标志物,并提供一种新的诊断方法。在此,研究人员从基因表达总库(Gene Expression Omnibus)数据库中提取了肥胖症患者和 MetS 患者体内 c-Jun (JUN) 和 FBJ 小鼠骨肉瘤病毒癌基因同源物 B (FOSB) 的表达谱。采用定量反转录聚合酶链反应(RT-qPCR)评估了健康志愿者(瘦者和肥胖者)和 MetS 患者(瘦者和肥胖者)外周血中 JUN 和 FOSB 的信使 RNA 水平,以及肥胖小鼠模型脂肪组织和外周血中 JUN 和 FOSB 的信使 RNA 水平。此外,还进行了接收者操作特征曲线(ROC)和逻辑回归分析,以确定 JUN 和 FOSB 在 MetS 中的诊断价值。表达谱和 RT-qPCR 结果表明,JUN 和 FOSB 在肥胖者、肥胖小鼠模型和 MetS 患者中均有高表达。ROC分析结果显示,在预测MetS方面,瘦弱组和肥胖组中JUN的曲线下面积值分别为0.872和0.879,FOSB的曲线下面积值分别为0.802和0.962,JUN-FOSB的曲线下面积值分别为0.946和0.979。逻辑回归分析表明,JUN和FOSB作为MetS影响因素的P值均为<0.05。总之,本研究结果表明,在肥胖症患者中异常表达的 JUN 和 FOSB 都是 MetS 的良好生物标志物。
Dysregulation of c-Jun (JUN) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) in obese people and their predictive values for metabolic syndrome
The incidences of metabolic syndrome (MetS), denoting insulin resistance-associated various metabolic disorders, are increasing. This study aimed to identify new biomarkers for predicting MetS and provide a novel diagnostic approach. Herein, the expression profiles of c-Jun (JUN) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) in individuals with obesity and patients with MetS from the Gene Expression Omnibus database. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to evaluate the messenger RNA levels of JUN and FOSB in the peripheral blood of healthy volunteers (lean and obese) and patients with MetS (lean and obese), along with that in the adipose tissue and peripheral blood of obese mouse model. Furthermore, receiver operating characteristic (ROC) curve and logistic regression analyses were performed to determine the diagnostic value of JUN and FOSB in MetS. The expression profiles and RT-qPCR results showed that JUN and FOSB were highly expressed in individuals with obesity, obese mouse models, and patients with MetS. The ROC analysis results showed an area under the curve values of 0.872 and 0.879 for JUN, 0.802 and 0.962 for FOSB, and 0.946 and 0.979 for JUN–FOSB in the lean group and the group with obesity, respectively, in predicting MetS. Logistic regression analysis showed that the p-values of both JUN and FOSB as MetS-affecting factors were <0.05. Altogether, the findings of this study indicate that both JUN and FOSB, abnormally expressed in individuals with obesity, are good biomarkers of MetS.
期刊介绍:
Endocrine Journal is an open access, peer-reviewed online journal with a long history. This journal publishes peer-reviewed research articles in multifaceted fields of basic, translational and clinical endocrinology. Endocrine Journal provides a chance to exchange your ideas, concepts and scientific observations in any area of recent endocrinology. Manuscripts may be submitted as Original Articles, Notes, Rapid Communications or Review Articles. We have a rapid reviewing and editorial decision system and pay a special attention to our quick, truly scientific and frequently-citable publication. Please go through the link for author guideline.