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Vitali-Silva A, Bello VA, Poli RC, de Oliveira CEC, Lopes MV, Silveira DN, Bossa BB, Espinosa BR, Ahrens TM, Reiche EMV, Simão ANC. IL18 rs360717 and rs187238 genetic variants are associated with migraine diagnosis. Eur J Pain 2024. [PMID: 38922725 DOI: 10.1002/ejp.2302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 05/06/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Migraine is a genetically determined disorder that predisposes to recurrent episodes of headache. Interleukin (IL)-18 is a pro-inflammatory cytokine that seems to play a role in migraine pathophysiology, and its genetic variants could potentially impact susceptibility to migraine. OBJECTIVE To investigate the association between IL18 rs360717 and rs187238 genetic variants with migraine diagnosis and its clinical characteristics. METHODS A case-control study was conducted with 152 people with migraine and 155 healthy controls, matched by sex, age, ethnicity, and body mass index. Clinical characteristics of migraine, as well as validated questionnaires regarding disability and impact of migraine, presence of allodynia, anxiety, depression, and hyperacusis were collected. Genotyping for IL18 rs360717 and rs187238 variants was performed using real-time polymerase chain reaction (qPCR) and TaqMan™ method. RESULTS The IL18 rs360717A and rs187238G alleles were associated with increased chance of being diagnosed with migraine (OR = 1.53, 95%CI 1.05-2.24, p = 0.028 and OR = 1.46, 95%CI 1.00-2.14, p = 0.049, respectively). In the dominant model, the rs360717GA + AA genotypes were also associated with a higher chance of migraine than the GG genotype (OR = 1.69, 95%CI 1.05-2.73, p = 0.030). In women, in addition to the previous associations, there was also an effect of the variants on the chance of migraine in the codominant models and dominant models. Furthermore, among women, there was an influence on the prevalence of postdrome perception with rs360717GA + AA (OR = 3.04, 95%CI 1.10-8.42, p = 0.032) and rs187238CG + GG (OR = 2.97, 95%CI 1.08-8.21, p = 0.035). CONCLUSION IL18 rs360717 and rs187238 variants were associated with migraine diagnosis and postdrome symptoms, especially in women. SIGNIFICANCE This study has demonstrated that IL18 rs360717 and rs187238 variants play a role in migraine, influencing the chance of being diagnosed with migraine, particularly among women. There are prospects that IL18 variants could be considered potential genetic biomarkers for migraine.
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Affiliation(s)
- Aline Vitali-Silva
- Escola de Medicina, Pontifícia Universidade Católica Do Paraná, Londrina, Brazil
- Universidade Estadual de Londrina, Londrina, Brazil
| | | | - Regina Célia Poli
- Escola de Medicina, Pontifícia Universidade Católica Do Paraná, Londrina, Brazil
- Universidade Norte Do Paraná, Londrina, Brazil
| | - Carlos Eduardo Coral de Oliveira
- Escola de Medicina, Pontifícia Universidade Católica Do Paraná, Londrina, Brazil
- Universidade Estadual de Londrina, Londrina, Brazil
| | - Milene Valéria Lopes
- Escola de Medicina, Pontifícia Universidade Católica Do Paraná, Londrina, Brazil
| | | | | | | | | | - Edna Maria Vissoci Reiche
- Escola de Medicina, Pontifícia Universidade Católica Do Paraná, Londrina, Brazil
- Universidade Estadual de Londrina, Londrina, Brazil
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Yin J, Fu X, Luo Y, Leng Y, Ao L, Xie C. A Narrative Review of Diabetic Macroangiopathy: From Molecular Mechanism to Therapeutic Approaches. Diabetes Ther 2024; 15:585-609. [PMID: 38302838 PMCID: PMC10942953 DOI: 10.1007/s13300-024-01532-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/11/2024] [Indexed: 02/03/2024] Open
Abstract
Diabetic macroangiopathy, a prevalent and severe complication of diabetes mellitus, significantly contributes to the increased morbidity and mortality rates among affected individuals. This complex disorder involves multifaceted molecular mechanisms that lead to the dysfunction and damage of large blood vessels, including atherosclerosis (AS) and peripheral arterial disease. Understanding the intricate pathways underlying the development and progression of diabetic macroangiopathy is crucial for the development of effective therapeutic interventions. This review aims to shed light on the molecular mechanism implicated in the pathogenesis of diabetic macroangiopathy. We delve into the intricate interplay of chronic inflammation, oxidative stress, endothelial dysfunction, and dysregulated angiogenesis, all of which contribute to the vascular complications observed in this disorder. By exploring the molecular mechanism involved in the disease we provide insight into potential therapeutic targets and strategies. Moreover, we discuss the current therapeutic approaches used for treating diabetic macroangiopathy, including glycemic control, lipid-lowering agents, and vascular interventions.
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Affiliation(s)
- Jiacheng Yin
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
| | - Xiaoxu Fu
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, No. 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
| | - Yue Luo
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
| | - Yuling Leng
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
| | - Lianjun Ao
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China
| | - Chunguang Xie
- Hospital of Chengdu University of Traditional Chinese Medicine No, 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China.
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, No. 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China.
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-Qiao Road, Chengdu, 610072, Sichuan Province, People's Republic of China.
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Ke D, Ni J, Yuan Y, Cao M, Chen S, Zhou H. Identification and Validation of Hub Genes Related to Neutrophil Extracellular Traps-Mediated Cell Damage During Myocardial Infarction. J Inflamm Res 2024; 17:617-637. [PMID: 38323113 PMCID: PMC10844013 DOI: 10.2147/jir.s444975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/23/2024] [Indexed: 02/08/2024] Open
Abstract
Purpose Studies have shown that neutrophil-mediated formation of neutrophil extracellular traps (NETs) leads to increased inflammatory response and cellular tissue damage during myocardial infarction (MI). We aimed to identify and validate possible hub genes in the process of NETs-mediated cell damage. Methods We performed an immune cell infiltration analysis of the MI transcriptome dataset based on CIBERSORT and ssGSEA algorithms. Gene expression profiles of NETs formation (GSE178883) were used to analyze the physiological processes of peripheral blood neutrophils after phorbol myristate acetate (PMA) stimulation. Bioinformatics and machine learning algorithms were utilized to find candidate hub genes based on NETs-related genes and transcriptome datasets (GSE66360 and GSE179828). We generated the receiver operating curve (ROC) to evaluate the diagnostic value of hub genes. Next, the correlation between hub genes and immune cells was analyzed using CIBERSORT, ssGSEA and xCell algorithms. Finally, we used quantitative real-time PCR (qRT-PCR) and immunohistochemistry to verify gene expression. Results Immune cell infiltration analysis revealed that inflammatory cells such as neutrophils were highly expressed in the peripheral blood of patients with MI. Functional analysis of differentially expressed genes (DEGs) in GSE178883 indicated that the potential pathogenesis lies in immune terms. Using weighted gene co-expression network analysis (WGCNA) and machine learning algorithms, we finally identified the seven hub genes (FCAR, IL1B, MMP9, NFIL3, CXCL2, ICAM1, and ZFP36). The qRT-PCR results showed that IL-1B, MMP9, and NFIL3 mRNA expression was up-regulated in the MI group compared to the control. Immunohistochemical results showed high MMP9, IL-1B, and NFIL3 expression in the infarcted area compared to the non-infarcted area and sham-operated groups. Conclusion We identified seven hub genes associated with NETs-mediated cellular damage during MI. Our results may provide insights into the mechanisms of neutrophil-mediated cell injury during MI.
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Affiliation(s)
- Da Ke
- Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
| | - Jian Ni
- Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
| | - Yuan Yuan
- Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
| | - Mingzhen Cao
- Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
| | - Si Chen
- Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
| | - Heng Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, 430060, People’s Republic of China
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Cai YW, Wu MX, Gao QY, Wang JF, Huang YL, Hu YZ, Qiu RF, Mai WY, Zhang HF. Editorial: Cytokines, novel cell death models and pathways in cardiovascular diseases. Front Cardiovasc Med 2023; 10:1270320. [PMID: 37692034 PMCID: PMC10484615 DOI: 10.3389/fcvm.2023.1270320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/11/2023] [Indexed: 09/12/2023] Open
Affiliation(s)
- Yang-Wei Cai
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Mao-Xiong Wu
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qing-Yuan Gao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing-Feng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yu-Li Huang
- Department of Cardiology, Shunde Hospital, Southern Medical University, Foshan, China
| | - Yun-Zhao Hu
- Department of Cardiology, Shunde Hospital, Southern Medical University, Foshan, China
| | - Ruo-Feng Qiu
- Capital Health System, Trenton, NJ, United States
| | - Wei-Yi Mai
- Department of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hai-Feng Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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