Laboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Centro e Laboratório de Doenças da Tireoide de Endocrinologia Molecular e Translacional, Divisão de Endocrinologia, Departamento de Medicina, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brasil.
Arch Endocrinol Metab. 2023 May 25;67(5):e000625. doi: 10.20945/2359-3997000000625.
Based on hypothetical hypothyroidism and nonthyroidal illness syndrome (NTIS) gene expression similarities, we decided to compare the patterns of expression of both as models of NTIS. The concordant profile between them may enlighten new biomarkers for NTIS challenging scenarios.
We used Ion Proton System next-generation sequencing to build the hypothyroidism transcriptome. We selected two databanks in GEO2 platform datasets to find the differentially expressed genes (DEGs) in adults and children with sepsis. The ROC curve was constructed to calculate the area under the curve (AUC). The AUC, chi-square, sensitivity, specificity, accuracy, kappa and likelihood were calculated. We performed Cox regression and Kaplan-Meier analyses for the survival analysis.
Concerning hypothyroidism DEGs, 70.42% were shared with sepsis survivors and 61.94% with sepsis nonsurvivors. Some of them were mitochondrial gene types (mitGenes), and 95 and 88 were related to sepsis survivors and nonsurvivors, respectively. and mitGenes showed the capability to distinguish sepsis survivors and nonsurvivors.
We matched our hypothyroidism DEGs with those in adults and children with sepsis. Additionally, we observed different patterns of hypothyroid-related genes among sepsis survivors and nonsurvivors. Finally, we demonstrated that and could be predictive biomarkers in children´s sepsis.
基于假设的甲状腺功能减退症和非甲状腺疾病综合征（NTIS）基因表达的相似性，我们决定比较两者的表达模式，作为 NTIS 的模型。它们之间一致的特征可能会为 NTIS 挑战性情况揭示新的生物标志物。
我们使用 Ion Proton 系统下一代测序构建甲状腺功能减退症转录组。我们从 GEO2 平台数据集的两个数据库中选择了儿童和成人脓毒症的差异表达基因（DEGs）。我们构建了 ROC 曲线来计算曲线下面积（AUC）。计算 AUC、卡方、敏感性、特异性、准确性、kappa 和似然比。我们进行了 Cox 回归和 Kaplan-Meier 分析以进行生存分析。
关于甲状腺功能减退症的 DEGs，70.42%与脓毒症幸存者共享，61.94%与脓毒症非幸存者共享。其中一些是线粒体基因类型（mitGenes），分别有 95 和 88 个与脓毒症幸存者和非幸存者相关。mitGenes 显示出区分脓毒症幸存者和非幸存者的能力。
我们将我们的甲状腺功能减退症 DEGs 与成人和儿童脓毒症的 DEGs 进行了匹配。此外，我们观察到甲状腺相关基因在脓毒症幸存者和非幸存者中的不同模式。最后，我们证明了和可以作为儿童脓毒症的预测生物标志物。
