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

Hang Yang; Yanhui Cui; Wenzhong Peng; Fei Zhu; Shiyang Ma; Mingjun Rao; Peipei Zhang; Jie Chen; Pinhua Pan

doi:10.3390/biom12101479

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

Biomolecules. 2022 Oct 14;12(10):1479. doi: 10.3390/biom12101479.

Authors

Hang Yang^{1

2

3

4

5

6}, Yanhui Cui^{1

2

3

4

5

6}, Wenzhong Peng^{1

2

3

4

5

6}, Fei Zhu^{1

2

3

4

5

6}, Shiyang Ma^{1

2

3

4

5

6}, Mingjun Rao^{1

2

3

4

5

6}, Peipei Zhang^{1

2

3

4

5

6}, Jie Chen^{1

2

3

4

5

6}, Pinhua Pan^{1

2

3

4

5

6}

Affiliations

¹ Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, China.
² Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
³ Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha 410008, China.
⁴ Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, China.
⁵ National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, China.
⁶ Department of Infection Control Center of Xiangya Hospital, Central South University, Changsha 410008, China.

Abstract

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.

Keywords: ferroptosis; molecular subtype; prognosis; sepsis.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomarkers, Tumor / genetics
Disease-Free Survival
Ferroptosis* / genetics
Humans
Prognosis
Sepsis* / diagnosis
Sepsis* / genetics

Substances

Biomarkers, Tumor

Grants and funding

This study was supported by National Key R&D Program of China (No. 2016YFC1304204); National Natural Science Foundation of China (No. 81770080); Project Program of National Clinical Research Center for Geriatric Disorders (Xiangya Hospital, Grant No. 2020LNJJ05); Emergency Project of Prevention and Control for COVID-19 of Central South University (No.160260004); Project of Special Program on COVID-19 of Changsha Technology Hall (No. kq2001049).