Suppr超能文献

一种用于儿童特发性身材矮小的新型诊断预测模型。

A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children.

机构信息

Department of Orthopaedics, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

Department of Pediatrics, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

出版信息

Front Endocrinol (Lausanne). 2021 Sep 17;12:721812. doi: 10.3389/fendo.2021.721812. eCollection 2021.

Abstract

OBJECTIVE

Idiopathic short stature (ISS), an endocrine-related disease, is difficult to diagnose. Previous studies have shown that many children with some inflammation-related diseases often have short stature, but whether inflammation is the underlying mechanism of ISS has not been studied. Here, we attempt to explore the role of inflammation in the occurrence and development of ISS and to demonstrate an available clinical diagnostic model of ISS.

METHODS

Frozen serum samples were collected from ISS patients (n = 4) and control individuals (n = 4). Isobaric tags for relative and absolute quantitation (iTRAQ) combined with LC-MS/MS analysis were applied to quantitative proteomics analysis. To assess clusters of potentially interacting proteins, functional enrichment (GO and KEGG) and protein-protein interaction network analyses were performed, and the crucial proteins were detected by Molecular Complex Detection (MCODE). Furthermore, serum levels of two selected proteins were measured by ELISA between ISS patients (n = 80) and controls (n = 80). In addition, experiments were used to further explore the effects of crucial proteins on endochondral ossification.

RESULTS

A total of 437 proteins were quantified, and 84 DEPs (60 upregulated and 24 downregulated) were identified between patients with ISS and controls. Functional enrichment analysis showed that the DEPs were primarily enriched in blood microparticle, acute inflammatory response, protein activation cascade, collagen-containing extracellular matrix, platelet degranulation, etc. According to the results of top 10 fold change DEPs and MCODE analysis, C1QA and C1QB were selected to further experiment. The expression levels of C1QA and C1QB were validated in serum samples. Based on the logistic regression analysis and ROC curve analysis, we constructed a novel diagnostic model by serum levels of C1QA and C1QB with a specificity of 91.2% and a sensitivity of 75% (AUC = 0.900, p <0.001). Finally, the western blotting analysis confirmed the expression levels of OCN, OPN, RUNX2, and Collagen X were downregulated in chondrocytes, and the outcome of Collagen II was upregulated.

CONCLUSION

Our study is the first to demonstrate the significant role of inflammation in the development of ISS. In addition, we identify C1QA and C1QB as novel serum biomarkers for the diagnosis of ISS.

摘要

目的

特发性身材矮小(ISS)是一种与内分泌相关的疾病,难以诊断。先前的研究表明,许多患有某些炎症相关疾病的儿童往往身材矮小,但炎症是否是 ISS 的潜在机制尚未得到研究。在这里,我们试图探讨炎症在 ISS 的发生和发展中的作用,并展示一种可用的 ISS 临床诊断模型。

方法

收集 ISS 患者(n=4)和对照个体(n=4)的冷冻血清样本。采用等重标记相对和绝对定量(iTRAQ)联合 LC-MS/MS 分析进行定量蛋白质组学分析。为了评估潜在相互作用蛋白的聚类,进行了功能富集(GO 和 KEGG)和蛋白质-蛋白质相互作用网络分析,并通过分子复合物检测(MCODE)检测关键蛋白。此外,通过酶联免疫吸附试验(ELISA)在 80 名 ISS 患者(n=80)和 80 名对照个体之间测量了两种选定蛋白的血清水平。此外,实验进一步探索了关键蛋白对软骨内骨化的影响。

结果

共定量了 437 种蛋白,鉴定出 ISS 患者与对照个体之间的 84 个差异表达蛋白(60 个上调和 24 个下调)。功能富集分析表明,差异表达蛋白主要富集在血液微粒体、急性炎症反应、蛋白质激活级联、含胶原的细胞外基质、血小板脱颗粒等。根据前 10 个折叠变化差异表达蛋白和 MCODE 分析的结果,选择 C1QA 和 C1QB 进行进一步实验。在血清样本中验证了 C1QA 和 C1QB 的表达水平。基于逻辑回归分析和 ROC 曲线分析,我们通过 C1QA 和 C1QB 的血清水平构建了一个新的诊断模型,特异性为 91.2%,灵敏度为 75%(AUC=0.900,p<0.001)。最后,Western 印迹分析证实软骨细胞中 OCN、OPN、RUNX2 和 Collagen X 的表达水平下调,而 Collagen II 的结果上调。

结论

本研究首次证明了炎症在 ISS 发展中的重要作用。此外,我们发现 C1QA 和 C1QB 是 ISS 诊断的新型血清生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d5/8485046/594bd2979652/fendo-12-721812-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验