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Wei Y, Ren X, Yuan Z, Hong J, Wang T, Chen W, Xu Y, Ding J, Lin J, Jiang W, Zhang P, Wu Q. Trauma diagnostic-related target proteins and their detection techniques. Expert Rev Mol Med 2024; 26:e7. [PMID: 38602081 PMCID: PMC11062145 DOI: 10.1017/erm.2024.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/27/2023] [Accepted: 02/01/2024] [Indexed: 04/12/2024]
Abstract
Trauma is a significant health issue that not only leads to immediate death in many cases but also causes severe complications, such as sepsis, thrombosis, haemorrhage, acute respiratory distress syndrome and traumatic brain injury, among trauma patients. Target protein identification technology is a vital technique in the field of biomedical research, enabling the study of biomolecular interactions, drug discovery and disease treatment. It plays a crucial role in identifying key protein targets associated with specific diseases or biological processes, facilitating further research, drug design and the development of treatment strategies. The application of target protein technology in biomarker detection enables the timely identification of newly emerging infections and complications in trauma patients, facilitating expeditious medical interventions and leading to reduced post-trauma mortality rates and improved patient prognoses. This review provides an overview of the current applications of target protein identification technology in trauma-related complications and provides a brief overview of the current target protein identification technology, with the aim of reducing post-trauma mortality, improving diagnostic efficiency and prognostic outcomes for patients.
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Affiliation(s)
- YiLiu Wei
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Xiaohan Ren
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Zhitao Yuan
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jie Hong
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Tao Wang
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Weizhi Chen
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Yuqing Xu
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jinwang Ding
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jun Lin
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Wenqian Jiang
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Peng Zhang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127 Shanghai, China
| | - Qiaoyi Wu
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
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Gong C, Wu J, Li H, Luo C, Ji G, Guan X, Liu J, Wang M. METTL3 achieves lipopolysaccharide-induced myocardial injury via m 6A-dependent stabilization of Myh3 mRNA. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2023; 1870:119503. [PMID: 37245538 DOI: 10.1016/j.bbamcr.2023.119503] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 05/30/2023]
Abstract
Septic cardiomyopathy (SCM) was an important pathological component of severe sepsis and septic shock. N6-methyladenosine (m6A) modification was a common RNA modification in both mRNA and non-coding RNAs and was proved to be involved in sepsis and immune disorders. Therefore, the purpose of this study was to investigate the role and mechanism of METTL3 in lipopolysaccharide-induced myocardial injury. We firstly analyzed the expression changes of various m6A-related regulators in human samples in the GSE79962 data and the Receiver Operating Characteristic curve of significantly changed m6A enzymes, showing that METTL3 had a high diagnostic ability in patients with SCM. Western blotting confirmed the high expression of METTL3 in LPS-treated H9C2 cells, which was consistent with the above results in human samples. In vitro and in vivo, the deficiency of METTL3 could improve the cardiac function, cardiac tissue damage, myocardial cell apoptosis and reactive oxygen species levels in LPS-treated H9C2 cells and LPS-induced sepsis rats, respectively. In addition, we obtained 213 differential genes through transcriptome RNA-seq analysis, and conducted GO enrichment analysis and KEGG pathway analysis through DAVID. We also found that the half-life of Myh3 mRNA was significantly reduced after METTL3 deletion and that Myh3 carried several potential m6A modification sites. In conclusion, we found that downregulation of METTL3 reversed LPS-induced myocardial cell and tissue damage and reduced cardiac function, mainly by increasing Myh3 stability. Our study revealed a key role of METTL3-mediated m6A methylation in septic cardiomyopathy, which may offer a potential mechanism for the therapy of septic cardiomyopathy.
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Affiliation(s)
- Chengwu Gong
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China; Department of Cardiothoracic Surgery, Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China
| | - Jinlong Wu
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Hao Li
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Congcong Luo
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Guangyu Ji
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Xin Guan
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Jichun Liu
- Department of Cardiothoracic Surgery, Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.
| | - Mingsong Wang
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China.
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Hu T, Yao W, Li Y, Liu Y. Interaction of acute heart failure and acute kidney injury on in-hospital mortality of critically ill patients with sepsis: A retrospective observational study. PLoS One 2023; 18:e0282842. [PMID: 36888602 PMCID: PMC9994701 DOI: 10.1371/journal.pone.0282842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 02/23/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND The present study aimed to evaluate the synergistic impact of acute heart failure (AHF) and acute kidney injury (AKI) on in-hospital mortality in critically ill patients with sepsis. METHODS We undertook a retrospective, observational analysis using data acquired from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and eICU Collaborative Research Database (eICU-CRD). The effects of AKI and AHF on in-hospital mortality were examined using a Cox proportional hazards model. Additive interactions were analyzed using the relative extra risk attributable to interaction. RESULTS A total of 33,184 patients were eventually included, comprising 20,626 patients in the training cohort collected from the MIMIC-IV database and 12,558 patients in the validation cohort extracted from the eICU-CRD database. After multivariate Cox analysis, the independent variables for in-hospital mortality included: AHF only (HR:1.20, 95% CI:1.02-1.41, P = 0.005), AKI only (HR:2.10, 95% CI:1.91-2.31, P < 0.001), and both AHF and AKI (HR:3.80, 95%CI:13.40-4.24, P < 0.001). The relative excess risk owing to interaction was 1.49 (95% CI:1.14-1.87), the attributable percentage due to interaction was 0.39 (95%CI:0.31-0.46), and the synergy index was 2.15 (95%CI:1.75-2.63), demonstrated AHF and AKI had a strong synergic impact on in-hospital mortality. And the findings in the validation cohort indicated identical conclusions to the training cohort. CONCLUSION Our data demonstrated a synergistic relationship of AHF and AKI on in-hospital mortality in critically unwell patients with sepsis.
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Affiliation(s)
- Tianyang Hu
- Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wanjun Yao
- Department of Anesthesiology, Wuhan No.1 Hospital, 430030, Wuhan, Hubei, China
| | - Yu Li
- Department of Nephrology, Chongqing Bishan District People’s Hospital (Bishan Hospital Affiliated to Chongqing Medical University), Chongqing, China
| | - Yanan Liu
- Department of Nephrology, Rheumatology and Immunology, Jiulongpo District People’s Hospital, Chongqing, China
- * E-mail:
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Wang C, Li Y, Li S, Chen M, Hu Y. Proteomics Combined with RNA Sequencing to Screen Biomarkers of Sepsis. Infect Drug Resist 2022; 15:5575-5587. [PMID: 36172619 PMCID: PMC9512028 DOI: 10.2147/idr.s380137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 09/10/2022] [Indexed: 12/23/2022] Open
Abstract
Purpose To screen biomarkers in the serum of patients with sepsis by proteomics combined with RNA sequencing technology, and to find new diagnostic and therapeutic targets for sepsis. Patients and Methods Blood samples of 22 sepsis patients (sepsis group) and 10 healthy volunteers (normal group) were collected from January 2019 to December 2020. Data-independent acquisition (DIA) method was employed for protein profiling, RNA sequencing was employed for gene sequencing. Subsequently, quality control and differential analysis (FC≥2; FDR<0.05) of DIA data and RNA sequencing data were performed. Then we identified expression trend-consistent divergence factors by nine-quadrant analysis; subsequent protein-protein interaction (PPI) and gene ontology (GO) functional enrichment analysis of intersection factors was performed, and meta-analysis of targets at transcriptome level was implemented using public datasets. Finally, five Peripheral blood mononuclear cell (PBMC) samples (NC=2; SIRS=1; SEPSIS =2) were collected, and cell localization analysis of core genes was performed by 10× single-cell RNA sequencing (scRNA-seq). Results Compared with the normal group, there were 4681 differentially expressed genes and 202 differentially expressed proteins in the sepsis group. Among them, 25 factors were expressed in both proteome and transcriptome, and the analysis of PPI and GO found that they were mainly involved in biological processes such as white blood cell and neutrophil response, inflammatory and immune response. Four core genes GSTO1, C1QA, RETN, and GRN were screened by meta-analysis, all of which were highly expressed in the sepsis group compared with the normal group (P<0.05); scRNA-seq showed the core genes were mainly localized in macrophage cell lines. Conclusion The core genes GSTO1, C1QA, RETN and GRN are mainly expressed in macrophages, widely involved in inflammation and immune responses, and are highly expressed in plasma in the sepsis, suggesting that they may become potential research targets for sepsis.
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Affiliation(s)
- Chenglin Wang
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
| | - Yang Li
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
| | - Shilin Li
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
| | - Muhu Chen
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
| | - Yingchun Hu
- Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
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Li Z, Yu Y, Liu C, Chen G, Gong W, Luo J, Yue Z. Identification of the key ferroptosis-related genes involved in sepsis progression and experimental validation in vivo. Front Pharmacol 2022; 13:940261. [PMID: 36188533 PMCID: PMC9524243 DOI: 10.3389/fphar.2022.940261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/12/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Ferroptosis has a vital role in sepsis, but the mechanism is not known. Understanding the mechanism of ferroptosis during sepsis will aid in developing improved therapeutic strategies. Methods: We used the Gene Expression Omnibus database and FerrDb database to obtain ferroptosis-related differentially expressed genes (DEGs) between sepsis patients and healthy volunteers (HVs). Analyses of PPI networks, functional enrichment, as well as use of the MCODE algorithm were used to identify key ferroptosis-related DEGs. Expression of key ferroptosis-related DEGs was verified using: GSE57065 and GSE65682 datasets; rats in which ferroptosis was induced with erastin; sepsis-induced acute lung injury (siALI) rats. The effects of acupoint catgut embedding (ACE) on ferroptosis and expression of key ferroptosis-related DEGs in the lungs of siALI rats were also observed. A Cox proportional hazard model was used to verify the effect of key ferroptosis-related DEGs on the survival of sepsis patients. Cytoscape was used to construct ceRNA networks and gene–transcription factor networks. Results: Between sepsis patients and HVs, we identified 33 ferroptosis-related DEGs. According to analyses of PPI networks and the MCODE algorithm, we obtained four modules, of which the most significant module contained nine ferroptosis-related DEGs. Functional-enrichment analyses showed that four of the nine DEGs were enriched in the MAPK signaling pathway: MAPK14, VEGFA, TGFBR1, and DUSP1. We verified expression of these four genes in GSE57065 and GSE65682 datasets and ferroptosis rats. In addition, expression of these four genes and that of the oxidative-stress indicators GSSG and MDA was upregulated, and glutathione peroxidase-4 (GPX4) expression was downregulated, in siALI rats, but ACE reversed these changes. The Cox proportional hazard model showed that survival of sepsis patients in the high-risk group was shorter than that in the low-risk group. We found that the XIST−hsa-let-7b-5p−TGFBR1/DUSP1 ceRNA network and transcription factor E2F1 may be important regulators of these four DEGs. Conclusion: Our results suggest that MAPK14, VEGFA, TGFBR1, and DUSP1 may be key regulatory targets of ferroptosis in sepsis, and that ACE pretreatment may be antioxidant treatment for sepsis and alleviate ferroptosis. These findings provide a basis for further ferroptosis-related study in sepsis and provide new targets for its treatment.
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Affiliation(s)
- Zhixi Li
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- The Key Laboratory of Myocardial Ischemia Organization, Chinese Ministry of Education, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yongjing Yu
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chang Liu
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- The Key Laboratory of Myocardial Ischemia Organization, Chinese Ministry of Education, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guangmin Chen
- Department of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Weidong Gong
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Juan Luo
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ziyong Yue
- Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China
- Department of Anesthesiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- *Correspondence: Ziyong Yue,
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Bringué J, Guillamat-Prats R, Martinez ML, Torrents E, Camprubí-Rimblas M, Blanch L, Artigas A. Methotrexate Ameliorates Systemic Inflammation and Septic Associated-Lung Damage in a Cecal Ligation and Puncture Septic Rat Model. Int J Mol Sci 2021; 22:9612. [PMID: 34502521 PMCID: PMC8431751 DOI: 10.3390/ijms22179612] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 08/27/2021] [Accepted: 09/01/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Sepsis is a serious, heterogeneous clinical entity produced by a severe and systemic host inflammatory response to infection. Methotrexate (MTX) is a folate-antagonist that induces the generation of adenosine and also inhibits JAK/STAT pathway; MTX it is widely used as an anti-inflammatory drug to control the immune system. OBJECTIVE The aim of this study was to assess the beneficial effects of a single and low dose of MTX in the systemic response and acute lung injury (ALI) induced by sepsis. As in the clinics, we treated our animals with antibiotics and fluids and performed the source control to mimic the current clinic treatment. METHODS AND MAIN RESULTS Sepsis was induced in rats by a cecal ligation puncture (CLP) procedure. Six hours after induction of sepsis, we proceeded to the source control; fluids and antibiotics were administered at 6 h and 24 h after CLP. MTX (2.5 mg/Kg) was administered 6 h after the first surgery in one CLP experimental group and to one Sham group. A protective effect of MTX was observed through a significant reduction of pro-inflammatory cytokines and a decrease infiltration of inflammatory cells in the lung. In addition, we found a regulation in adenosine receptor A2aR and the metalloproteinases by MTX. CONCLUSION A single, low dose of MTX attenuates sepsis lung-associated damage by decreasing pro-inflammatory response, infiltration of pro-inflammatory cells and avoiding defective tissue lung remodeling.
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Affiliation(s)
- Josep Bringué
- Institut d’ Investigació i Innovació Parc Taulí (I3PT), 08201 Sabadell, Spain; (J.B.); (M.C.-R.); (L.B.); (A.A.)
- CIBER de Enfermedades Respiratorias (CIBERES), 08201 Sabadell, Spain
- Facultat de Medicina, Universitat Autonoma de Barcelona, 08193 Bellaterra, Spain
| | - Raquel Guillamat-Prats
- Institut d’ Investigació i Innovació Parc Taulí (I3PT), 08201 Sabadell, Spain; (J.B.); (M.C.-R.); (L.B.); (A.A.)
- CIBER de Enfermedades Respiratorias (CIBERES), 08201 Sabadell, Spain
| | - Maria Luisa Martinez
- Critical Care Center—Hospital Universitario General de Catalunya, 08190 Sant Cugat del Valles, Spain;
| | - Eva Torrents
- Critical Care Center—Corporació Sanitària i Universitària Parc Taulí, 08201 Sabadell, Spain;
| | - Marta Camprubí-Rimblas
- Institut d’ Investigació i Innovació Parc Taulí (I3PT), 08201 Sabadell, Spain; (J.B.); (M.C.-R.); (L.B.); (A.A.)
- CIBER de Enfermedades Respiratorias (CIBERES), 08201 Sabadell, Spain
- Facultat de Medicina, Universitat Autonoma de Barcelona, 08193 Bellaterra, Spain
| | - Lluís Blanch
- Institut d’ Investigació i Innovació Parc Taulí (I3PT), 08201 Sabadell, Spain; (J.B.); (M.C.-R.); (L.B.); (A.A.)
- CIBER de Enfermedades Respiratorias (CIBERES), 08201 Sabadell, Spain
- Critical Care Center—Corporació Sanitària i Universitària Parc Taulí, 08201 Sabadell, Spain;
| | - Antonio Artigas
- Institut d’ Investigació i Innovació Parc Taulí (I3PT), 08201 Sabadell, Spain; (J.B.); (M.C.-R.); (L.B.); (A.A.)
- CIBER de Enfermedades Respiratorias (CIBERES), 08201 Sabadell, Spain
- Facultat de Medicina, Universitat Autonoma de Barcelona, 08193 Bellaterra, Spain
- Critical Care Center—Corporació Sanitària i Universitària Parc Taulí, 08201 Sabadell, Spain;
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Wu M, Du X, Gu R, Wei J. Artificial Intelligence for Clinical Decision Support in Sepsis. Front Med (Lausanne) 2021; 8:665464. [PMID: 34055839 PMCID: PMC8155362 DOI: 10.3389/fmed.2021.665464] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
Sepsis is one of the main causes of death in critically ill patients. Despite the continuous development of medical technology in recent years, its morbidity and mortality are still high. This is mainly related to the delay in starting treatment and non-adherence of clinical guidelines. Artificial intelligence (AI) is an evolving field in medicine, which has been used to develop a variety of innovative Clinical Decision Support Systems. It has shown great potential in predicting the clinical condition of patients and assisting in clinical decision-making. AI-derived algorithms can be applied to multiple stages of sepsis, such as early prediction, prognosis assessment, mortality prediction, and optimal management. This review describes the latest literature on AI for clinical decision support in sepsis, and outlines the application of AI in the prediction, diagnosis, subphenotyping, prognosis assessment, and clinical management of sepsis. In addition, we discussed the challenges of implementing and accepting this non-traditional methodology for clinical purposes.
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Affiliation(s)
- Miao Wu
- Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xianjin Du
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China
| | - Raymond Gu
- Department of Surgery, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Jie Wei
- Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China
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