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Liu Y, Li H, Ouyang Y, Zhang Y, Pan P. Exploration of the role of oxidative stress-related genes in LPS-induced acute lung injury via bioinformatics and experimental studies. Sci Rep 2023; 13:21804. [PMID: 38071255 PMCID: PMC10710410 DOI: 10.1038/s41598-023-49165-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 12/05/2023] [Indexed: 12/18/2023] Open
Abstract
During the progression of acute lung injury (ALI), oxidative stress and inflammatory responses always promote each other. The datasets analyzed in this research were acquired from the Gene Expression Omnibus (GEO) database. The Weighted Gene Co-expression Network Analysis (WGCNA) and limma package were used to obtain the ALI-related genes (ALIRGs) and differentially expressed genes (DEGs), respectively. In total, two biological markers (Gch1 and Tnfaip3) related to oxidative stress were identified by machine learning algorithms, Receiver Operator Characteristic (ROC), and differential expression analyses. The area under the curve (AUC) value of biological markers was greater than 0.9, indicating an excellent power to distinguish between ALI and control groups. Moreover, 15 differential immune cells were selected between the ALI and control samples, and they were correlated to biological markers. The transcription factor (TF)-microRNA (miRNA)-Target network was constructed to explore the potential regulatory mechanisms. Finally, based on the quantitative reverse transcription polymerase chain reaction (qRT-PCR), the expression of Gch1 and Tnfaip3 was significantly higher in ALI lung tissue than in healthy controls. In conclusion, the differences in expression profiles between ALI and normal controls were found, and two biological markers were identified, providing a research basis for further understanding the pathogenesis of ALI.
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Affiliation(s)
- Yuanshui Liu
- Department of Emergency Medicine, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, People's Republic of China.
- Department of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
| | - Huamei Li
- Department of Ultrasound, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, People's Republic of China.
| | - Yanhong Ouyang
- Department of Emergency Medicine, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, People's Republic of China
| | - Yan Zhang
- Department of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
| | - Pinhua Pan
- Department of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
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Lin F, Zhou Q, Li W, Xiao W, Li S, Liu B, Li H, Cui Y, Lu R, Li Y, Zhang Y, Pan P. A prediction model for acute respiratory distress syndrome in immunocompetent adults with adenovirus-associated Pneumonia: a multicenter retrospective analysis. BMC Pulm Med 2023; 23:431. [PMID: 37932725 PMCID: PMC10629070 DOI: 10.1186/s12890-023-02742-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/30/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND In recent years, the number of human adenovirus (HAdV)-related pneumonia cases has increased in immunocompetent adults. Acute respiratory distress syndrome (ARDS) in these patients is the predominant cause of HADV-associated fatality rates. This study aimed to identify early risk factors to predict early HAdV-related ARDS. METHODS Data from immunocompetent adults with HAdV pneumonia between June 2018 and May 2022 in ten tertiary general hospitals in central China was analyzed retrospectively. Patients were categorized into the ARDS group based on the Berlin definition. The prediction model of HAdV-related ARDS was developed using multivariate stepwise logistic regression and visualized using a nomogram. RESULTS Of 102 patients with adenovirus pneumonia, 41 (40.2%) developed ARDS. Overall, most patients were male (94.1%), the median age was 38.0 years. Multivariate logistic regression showed that dyspnea, SOFA (Sequential Organ Failure Assessment) score, lactate dehydrogenase (LDH) and mechanical ventilation status were independent risk factors for this development, which has a high mortality rate (41.5%). Incorporating these factors, we established a nomogram with good concordance statistics of 0.904 (95% CI 0.844-0.963) which may help to predict early HAdV-related ARDS. CONCLUSION A nomogram with good accuracy in the early prediction of ARDS in patients with HAdV-associated pneumonia may could contribute to the early management and effective treatment of severe HAdV infection.
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Affiliation(s)
- Fengyu Lin
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Qianhui Zhou
- Department of Respiratory Medicine, Zhuzhou Central Hospital, Zhuzhou, China
| | - Wen Li
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Wenchao Xiao
- Department of Cardiology, Yiyang Central Hospital, Yiyang, China
| | - Sha Li
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Ben Liu
- Department of Emergency Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Haitao Li
- First Department of Thoracic Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, Changsha, China
| | - Yanhui Cui
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
| | - Rongli Lu
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China.
- Furong Laboratory, Changsha, China.
| | - Yi Li
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China.
- Furong Laboratory, Changsha, China.
| | - Yan Zhang
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China.
- Furong Laboratory, Changsha, China.
| | - Pinhua Pan
- Department of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China.
- Furong Laboratory, Changsha, China.
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