Similar hypothyroid and sepsis circulating mRNA expression could be useful as a biomarker in nonthyroidal illness syndrome: a pilot study

Autor(es)

Robson José de Almeida ^[1] ; Andréa Harumy de Lima Hirata ^[2] ; Luiz Antônio de Jesus Rocha ; Miriam Duarte de Arruda Motta ^[4] ; Patricia Varela ; Leonardo Martins ^[6] ; João Bosco Pesquero ^[7] ; Cléber P. Camacho

Afiliação do(s) autor(es)

^[1] Universidade Nove de Julho. Programa de Pós-graduação em Medicina. Laboratório de Inovação Molecular e Biotecnologia - Brasil

^[2] Universidade Nove de Julho. Programa de Pós-graduação em Medicina. Laboratório de Inovação Molecular e Biotecnologia - Brasil

^[4] Universidade Nove de Julho. Programa de Pós-graduação em Medicina. Laboratório de Inovação Molecular e Biotecnologia - Brasil

^[6] Universidade Federal de São Paulo. Departamento de Biofísica. Centro de Pesquisa e Diagnóstico Molecular de Doenças Genéticas - Brasil

^[7] Universidade Federal de São Paulo. Departamento de Biofísica. Centro de Pesquisa e Diagnóstico Molecular de Doenças Genéticas - Brasil

• Tipo de documento: Artigo Científico
• Fonte: ARCHIVES OF ENDOCRINOLOGY METABOLISM; v. 67, n. 5 2023-06-05.

Resumo

ABSTRACT Objective: 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. Materials and methods: 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. Results: 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. BLOC1S1, ROMO1, SLIRP and TIMM8B mitGenes showed the capability to distinguish sepsis survivors and nonsurvivors. Conclusion: 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 ROMO1, SLIRP and TIMM8B could be predictive biomarkers in children's sepsis. (AU)

• Processo FAPESP: 14/04193-0 - Determinação da saúde tecidual pela análise da expressão gênica em indivíduos com disfunção tiroidana clínica e subclínica
• Beneficiário: Cléber Pinto Camacho
• Modalidade de apoio: Auxílio à Pesquisa - Regular