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Jin N, Sha S, Ruan Y, Ouyang Y. Identification and analysis of oxidative stress-related genes in hypoxic-ischemic brain damage using bioinformatics and experimental verification. Immun Inflamm Dis 2024; 12:e70000. [PMID: 39172048 DOI: 10.1002/iid3.70000] [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: 11/20/2023] [Revised: 07/19/2024] [Accepted: 08/01/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Oxidative stress (OS) plays a major role in the progress of hypoxic-ischemic brain damage (HIBD). This study aimed to investigate OS-related genes and their underlying molecular mechanisms in neonatal HIBD. METHODS Microarray data sets were acquired from the Gene Expression Omnibus (GEO) database to screen the differentially expressed genes (DEGs) between control samples and HIBD samples. OS-related genes were drawn from GeneCards and OS-DEGs in HIBD were obtained by intersecting with the DEGs. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were conducted to determine the underlying mechanisms and functions of OS-DEGs in HIBD. Moreover, the hub genes were screened using the protein-protein interaction network and identified in the GSE144456 data set. CIBERSORT was then performed to evaluate the expression of immunocytes in each sample and perform a correlation analysis of the optimal OS-DEGs and immunocytes. Finally, quantitative reverse transcription polymerase chain reaction (RT-qPCR) and immunohistochemistry were performed to validate the expression levels of the optimal OS-DEGs. RESULTS In total, 93 OS-DEGs were identified. GO, KEGG, and GSEA enrichment analyses indicated that these genes were predominantly enriched in OS and inflammation. Four OS-related biomarker genes (Jun, Fos, Tlr2, and Atf3) were identified and verified. CIBERSORT analysis revealed the dysregulation of six types of immune cells in the HIBD group. Moreover, 47 drugs that might target four OS-related biomarker genes were screened. Eventually, RT-qPCR and immunohistochemistry results for rat samples further validated the expression levels of Fos, Tlr2, and Atf3. CONCLUSIONS Fos, Tlr2 and Atf3 are potential OS-related biomarkers of HIBD progression. The mechanisms of OS are associated with those of neonatal HIBD.
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Affiliation(s)
- Ni Jin
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Sha Sha
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanghao Ruan
- Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Ying Ouyang
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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Jiménez-González S, Delgado-Valero B, Islas F, Romero-Miranda A, Luaces M, Ramchandani B, Cuesta-Corral M, Montoro-Garrido A, Martínez-Martínez E, Cachofeiro V. The detrimental role of galectin-3 and endoplasmic reticulum stress in the cardiac consequences of myocardial ischemia in the context of obesity. FASEB J 2024; 38:e23818. [PMID: 38989572 DOI: 10.1096/fj.202400747r] [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: 04/03/2024] [Revised: 06/18/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024]
Abstract
The association between cardiac fibrosis and galectin-3 was evaluated in patients with acute myocardial infarction (MI). The role of galectin-3 and its association with endoplasmic reticulum (ER) stress activation in the progression of cardiovascular fibrosis was also evaluated in obese-infarcted rats. The inhibitor of galectin-3 activity, modified citrus pectin (MCP; 100 mg/kg/day), and the inhibitor of the ER stress activation, 4-phenylbutyric acid (4-PBA; 500 mg/kg/day), were administered for 4 weeks after MI in obese rats. Overweight-obese patients who suffered a first MI showed higher circulating galectin-3 levels, higher extracellular volume, and LV infarcted size, as well as lower E/e'ratio and LVEF compared with normal-weight patients. A correlation was observed between galectin-3 levels and extracellular volume. Obese-infarcted animals presented cardiac hypertrophy and reduction in LVEF, and E/A ratio as compared with control animals. They also showed an increase in galectin-3 gene expression, as well as cardiac fibrosis and reduced autophagic flux. These alterations were associated with ER stress activation characterized by enhanced cardiac levels of binding immunoglobulin protein, which were correlated with those of galectin-3. Both MCP and 4-PBA not only reduced cardiac fibrosis, oxidative stress, galectin-3 levels, and ER stress activation, but also prevented cardiac functional alterations and ameliorated autophagic flux. These results show the relevant role of galectin-3 in the development of diffuse fibrosis associated with MI in the context of obesity in both the animal model and patients. Galectin-3 in tandem with ER stress activation could modulate different downstream mechanisms, including inflammation, oxidative stress, and autophagy.
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Affiliation(s)
- Sara Jiménez-González
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
| | - Beatriz Delgado-Valero
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
| | - Fabian Islas
- Unidad de Imagen Cardíaca, Hospital General Universitario de Talavera de la Reina, Toledo, Spain
| | - Ana Romero-Miranda
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
| | - María Luaces
- Servicio de Cardiología, Instituto Cardiovascular, Hospital Clínico San Carlos, Madrid, Spain
| | - Bunty Ramchandani
- Servicio de Cirugía Cardiaca Infantil, Hospital La Paz, Madrid, Spain
| | - María Cuesta-Corral
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandro Montoro-Garrido
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
| | - Ernesto Martínez-Martínez
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
- Ciber de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Majadahonda, Spain
| | - Victoria Cachofeiro
- Departamento de Fisiología, Facultad de Medicina, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Madrid, Spain
- Ciber de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Majadahonda, Spain
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周 伟, 聂 军, 胡 佳, 蒋 艺, 张 大. [Differential expressions of endoplasmic reticulum stress-associated genes in aortic dissection and their correlation with immune cell infiltration]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2024; 44:859-866. [PMID: 38862443 PMCID: PMC11166729 DOI: 10.12122/j.issn.1673-4254.2024.05.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To explore differentially expressed endoplasmic reticulum stress-associated genes (ERSAGs) in aortic dissection (AD) and their correlations with immune cell infiltration to identify new therapeutic targets for AD. METHODS Two AD mRNA expression datasets (GSE190635 and GSE98770) were downloaded from GEO database for analysis of differentially expressed genes between the aorta of AD patients and normal aorta using R software. ERSAGs dataset was downloaded from GeneCards website, and GeneMANIA database was used to analyze the protein-protein interaction network of the differentially expressed ERSAGs and the proteins interacting with these genes. Based on GSE98770 dataset we analyzed the distributions of 22 immune cells within the aortic wall of AD patients using CIBERSORT package of R software. Surgical aortic wall specimens were obtained from 10 AD patients and 10 non-AD patients for detecting AGER mRNA expression using qRTPCR, and the upstream transcriptional factors, miRNAs, and chemicals targeting AGER were analyzed using the TRRUST database and NetworkAnalyst database. RESULTS Bioinformatic analysis suggested significant differential expression of AGER in AD, which interacted with 20 proteins involved in pattern recognition receptor signaling pathway, positive regulation of DNA-binding transcription factor activity, myeloid leukocyte migration, leukocyte migration, and regulation of the I-κB kinase/NF-κB signaling. In AD, AGER expression level was positively correlated with Treg cell abundance (r=0.59, P < 0.05). The results of qRT-PCR demonstrated significantly lower expression of AGER mRNA in AD than in non-AD patients (1.00±0.30 vs 1.76±0.68, P < 0.05). ROC curve analysis showed that at the cut-off value of 1.335, AGER had an AUC of 0.86 (95% CI: 0.67-1.00, P= 0.0073) for predicting AD. Three transcriptional factors, 3 miRNAs, and 27 chemicals were predicted in the AGER regulatory network. CONCLUSION AGER is lowly expressed in the aorta of AD patients and may influence the occurrence of AD through Treg cells.
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Zhou W, Nie J, Zhang D. Comprehensive Analysis of Key Endoplasmic Reticulum Stress-Related Genes and Immune Infiltrates in Stanford Type A Aortic Dissection. Anatol J Cardiol 2024; 28:236-244. [PMID: 38445624 PMCID: PMC11059230 DOI: 10.14744/anatoljcardiol.2024.4251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 02/07/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Type A aortic dissection is a fatal disease. However, the role of endoplasmic reticulum stress-related genes (ERSRGs) in type A aortic dissection has not yet been fully clarified. METHODS Differentially expressed genes in the aorta of type A aortic dissection patients were analyzed based on the GSE52093 database. The ERSRGs were downloaded from the GeneCards website. Functional enrichment analysis and protein-protein interaction analysis were performed on the acquired differentially expressed ERSRGs. The mRNA expression of the 5 top key differentially expressed ERSRGs was further explored in GSE153434 and clinical samples. Immune infiltration correlation analysis was performed on the validated key genes. Finally, we constructed regulatory networks of transcription factors, miRNAs, and chemicals. RESULTS Twelve differentially expressed ERSRGs were identified, of which 8 genes were downregulated and 4 genes were upregulated. GeneMANIA was adopted to analyze these genes and their interacting proteins, and the results showed that the main function was calcium ion transport. Four key genes, ACTC1, CASQ2, SPP1, and REEP1, were validated in GSE153434 and clinical samples. The area under the ROC curve values for ACTC1, CASQ2, SPP1, and REEP1 were 0.92, 0.96, 0.89, and 1.00, respectively. ACTC1 and REEP1 correlated with multiple immune cells. Many transcription factors, microRNAs, and chemicals were identified with the potential to regulate these 4 key genes. CONCLUSION In this study, we identified 12 differentially expressed ERSRGs by analyzing the Gene Expression Omnibus database. Four key genes may influence the development of type A aortic dissection by regulating endoplasmic reticulum stress. These results expand our understanding of type A aortic dissection, and the 4 key genes are expected to be diagnostic markers and potential therapeutic targets.
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Affiliation(s)
- Wei Zhou
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Jun Nie
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Dafa Zhang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
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Liu S, Li Z, Lan S, Hao H, Baz AA, Yan X, Gao P, Chen S, Chu Y. The Dual Roles of Activating Transcription Factor 3 (ATF3) in Inflammation, Apoptosis, Ferroptosis, and Pathogen Infection Responses. Int J Mol Sci 2024; 25:824. [PMID: 38255898 PMCID: PMC10815024 DOI: 10.3390/ijms25020824] [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: 12/06/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Transcription factors are pivotal regulators in the cellular life process. Activating transcription factor 3 (ATF3), a member of the ATF/CREB (cAMP response element-binding protein) family, plays a crucial role as cells respond to various stresses and damage. As a transcription factor, ATF3 significantly influences signal transduction regulation, orchestrating a variety of signaling pathways, including apoptosis, ferroptosis, and cellular differentiation. In addition, ATF3 serves as an essential link between inflammation, oxidative stress, and immune responses. This review summarizes the recent advances in research on ATF3 activation and its role in regulating inflammatory responses, cell apoptosis, and ferroptosis while exploring the dual functions of ATF3 in these processes. Additionally, this article discusses the role of ATF3 in diseases related to pathogenic microbial infections. Our review may be helpful to better understand the role of ATF3 in cellular responses and disease progression, thus promoting advancements in clinical treatments for inflammation and oxidative stress-related diseases.
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Affiliation(s)
- Shuang Liu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Zhangcheng Li
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Shimei Lan
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Huafang Hao
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Ahmed Adel Baz
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Xinmin Yan
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Pengcheng Gao
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Shengli Chen
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
| | - Yuefeng Chu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou 730046, China
- Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs, Lanzhou 730046, China
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