Evidence map›Paper›PMID 37249456›Full record

ArticleArchives of endocrinology and metabolism2023

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

Robson José de Almeida, Andréa Harumy de Lima Hirata, Luiz Antônio de Jesus Rocha, Miriam Duarte de Arruda Motta, Patricia Varela, Leonardo Martins, João Bosco Pesquero, Cléber P Camacho

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Robson José de AlmeidaLaboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Andréa Harumy de Lima HirataLaboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Luiz Antônio de Jesus RochaLaboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Miriam Duarte de Arruda MottaLaboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Patricia VarelaMcKusick-Nathans Institute of Genetic Medicine - Johns Hopkins University School of Medicine, Baltimore, MD.
Leonardo MartinsCentro de Pesquisa e Diagnóstico Molecular de Doenças Genéticas, Departamento de Biofísica, Universidade Federal de São Paulo, São Paulo, SP, Brasil.
João Bosco PesqueroCentro de Pesquisa e Diagnóstico Molecular de Doenças Genéticas, Departamento de Biofísica, Universidade Federal de São Paulo, São Paulo, SP, Brasil.
Cléber P CamachoLaboratório de Inovação Molecular e Biotecnologia, Programa de Pós-graduação em Medicina, Universidade Nove de Julho (Uninove), São Paulo, SP, Brasil.
Universidade Nove de Julho · BRJohns Hopkins University · USUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. 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

Indexed as

HypothyroidismSepsisAdultBiomarkersChildHumansMembrane ProteinsMitochondrial ProteinsNerve Tissue ProteinsPilot ProjectsPrognosisRNA-Binding ProteinsRNA, MessengerROC CurveSyndromeBiomarkersBLOC1S1 protein, humanMembrane ProteinsMitochondrial ProteinsNerve Tissue ProteinsRNA-Binding ProteinsRNA, MessengerROMO1 protein, humanSLIRP protein, humanillness syndromeNonthyroidalRNASepsisThyroidTranscriptome

Identifiers

PMID37249456
PMCPMC10665055
OpenAlexW4378745637

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.