Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies

Abstract Background Identifying the biological subclasses of septic shock might provide specific targeted therapies for the treatment and prognosis of septic shock. It might be possible to find biological markers for the early prediction of septic shock prognosis. Methods The data were obtained from...

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Autores principales:	Songchang Shi, Xiaobin Pan, Hangwei Feng, Shujuan Zhang, Songjing Shi, Wei Lin
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Biomarkers Transcriptomics Prediction Prognosis Septic shock Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/a8e82d8ec2674599b1acd26e417ccac4
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spelling	oai:doaj.org-article:a8e82d8ec2674599b1acd26e417ccac42021-11-28T12:41:33ZIdentification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies10.1186/s12879-021-06888-w1471-2334https://doaj.org/article/a8e82d8ec2674599b1acd26e417ccac42021-11-01T00:00:00Zhttps://doi.org/10.1186/s12879-021-06888-whttps://doaj.org/toc/1471-2334Abstract Background Identifying the biological subclasses of septic shock might provide specific targeted therapies for the treatment and prognosis of septic shock. It might be possible to find biological markers for the early prediction of septic shock prognosis. Methods The data were obtained from the Gene Expression Omnibus databases (GEO) in NCBI. GO enrichment and KEGG pathway analyses were performed to investigate the functional annotation of up- and downregulated DEGs. ROC curves were drawn, and their areas under the curves (AUCs) were determined to evaluate the predictive value of the key genes. Results 117 DEGs were obtained, including 36 up- and 81 downregulated DEGs. The AUC for the MME gene was 0.879, as a key gene with the most obvious upregulation in septic shock. The AUC for the THBS1 gene was 0.889, as a key downregulated gene with the most obvious downregulation in septic shock. Conclusions The upregulation of MME via the renin-angiotensin system pathway and the downregulation of THBS1 through the PI3K–Akt signaling pathway might have implications for the early prediction of prognosis of septic shock in patients with pneumopathies.Songchang ShiXiaobin PanHangwei FengShujuan ZhangSongjing ShiWei LinBMCarticleBiomarkersTranscriptomicsPredictionPrognosisSeptic shockInfectious and parasitic diseasesRC109-216ENBMC Infectious Diseases, Vol 21, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biomarkers Transcriptomics Prediction Prognosis Septic shock Infectious and parasitic diseases RC109-216
spellingShingle	Biomarkers Transcriptomics Prediction Prognosis Septic shock Infectious and parasitic diseases RC109-216 Songchang Shi Xiaobin Pan Hangwei Feng Shujuan Zhang Songjing Shi Wei Lin Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
description	Abstract Background Identifying the biological subclasses of septic shock might provide specific targeted therapies for the treatment and prognosis of septic shock. It might be possible to find biological markers for the early prediction of septic shock prognosis. Methods The data were obtained from the Gene Expression Omnibus databases (GEO) in NCBI. GO enrichment and KEGG pathway analyses were performed to investigate the functional annotation of up- and downregulated DEGs. ROC curves were drawn, and their areas under the curves (AUCs) were determined to evaluate the predictive value of the key genes. Results 117 DEGs were obtained, including 36 up- and 81 downregulated DEGs. The AUC for the MME gene was 0.879, as a key gene with the most obvious upregulation in septic shock. The AUC for the THBS1 gene was 0.889, as a key downregulated gene with the most obvious downregulation in septic shock. Conclusions The upregulation of MME via the renin-angiotensin system pathway and the downregulation of THBS1 through the PI3K–Akt signaling pathway might have implications for the early prediction of prognosis of septic shock in patients with pneumopathies.
format	article
author	Songchang Shi Xiaobin Pan Hangwei Feng Shujuan Zhang Songjing Shi Wei Lin
author_facet	Songchang Shi Xiaobin Pan Hangwei Feng Shujuan Zhang Songjing Shi Wei Lin
author_sort	Songchang Shi
title	Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
title_short	Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
title_full	Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
title_fullStr	Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
title_full_unstemmed	Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
title_sort	identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies
publisher	BMC
publishDate	2021
url	https://doaj.org/article/a8e82d8ec2674599b1acd26e417ccac4
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Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies

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