Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature

Ferroptosis has recently been associated with immunological changes in sepsis. However, the clinical significance of ferroptosis-associated genes (FAGs) remains unknown. In this paper, a FAG-based prognostic model was constructed for sepsis patients using an integrated machine learning approach. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Hang, Cui, Yanhui, Peng, Wenzhong, Zhu, Fei, Ma, Shiyang, Rao, Mingjun, Zhang, Peipei, Chen, Jie, Pan, Pinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599462/
https://www.ncbi.nlm.nih.gov/pubmed/36291692
http://dx.doi.org/10.3390/biom12101479
_version_ 1784816599944921088
author Yang, Hang
Cui, Yanhui
Peng, Wenzhong
Zhu, Fei
Ma, Shiyang
Rao, Mingjun
Zhang, Peipei
Chen, Jie
Pan, Pinhua
author_facet Yang, Hang
Cui, Yanhui
Peng, Wenzhong
Zhu, Fei
Ma, Shiyang
Rao, Mingjun
Zhang, Peipei
Chen, Jie
Pan, Pinhua
author_sort Yang, Hang
collection PubMed
description Ferroptosis has recently been associated with immunological changes in sepsis. However, the clinical significance of ferroptosis-associated genes (FAGs) remains unknown. In this paper, a FAG-based prognostic model was constructed for sepsis patients using an integrated machine learning approach. The prognosis model was composed of 14 FAGs that classify the patients as high or low risk. Based on immunological study, it was found that the immune status differed between the high-risk and low-risk clusters. Cox regression analysis revealed that FAGs were independent risk factors for the overall survival of sepsis patients. ROC curves and nomograms revealed that the FAG-based model was robust for prognosis prediction. Lastly, NEDD4L was identified from the 14 FAGs as a potential hub gene for sepsis prediction.
format Online
Article
Text
id pubmed-9599462
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95994622022-10-27 Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature Yang, Hang Cui, Yanhui Peng, Wenzhong Zhu, Fei Ma, Shiyang Rao, Mingjun Zhang, Peipei Chen, Jie Pan, Pinhua Biomolecules Article Ferroptosis has recently been associated with immunological changes in sepsis. However, the clinical significance of ferroptosis-associated genes (FAGs) remains unknown. In this paper, a FAG-based prognostic model was constructed for sepsis patients using an integrated machine learning approach. The prognosis model was composed of 14 FAGs that classify the patients as high or low risk. Based on immunological study, it was found that the immune status differed between the high-risk and low-risk clusters. Cox regression analysis revealed that FAGs were independent risk factors for the overall survival of sepsis patients. ROC curves and nomograms revealed that the FAG-based model was robust for prognosis prediction. Lastly, NEDD4L was identified from the 14 FAGs as a potential hub gene for sepsis prediction. MDPI 2022-10-14 /pmc/articles/PMC9599462/ /pubmed/36291692 http://dx.doi.org/10.3390/biom12101479 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Hang
Cui, Yanhui
Peng, Wenzhong
Zhu, Fei
Ma, Shiyang
Rao, Mingjun
Zhang, Peipei
Chen, Jie
Pan, Pinhua
Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title_full Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title_fullStr Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title_full_unstemmed Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title_short Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
title_sort identification of molecular subtypes and a novel prognostic model of sepsis based on ferroptosis-associated gene signature
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599462/
https://www.ncbi.nlm.nih.gov/pubmed/36291692
http://dx.doi.org/10.3390/biom12101479
work_keys_str_mv AT yanghang identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT cuiyanhui identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT pengwenzhong identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT zhufei identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT mashiyang identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT raomingjun identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT zhangpeipei identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT chenjie identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature
AT panpinhua identificationofmolecularsubtypesandanovelprognosticmodelofsepsisbasedonferroptosisassociatedgenesignature

Ejemplares similares