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Yoneyama M, Kato H, Fujita T. Physiological functions of RIG-I-like receptors. Immunity 2024; 57:731-751. [PMID: 38599168 DOI: 10.1016/j.immuni.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/19/2024] [Accepted: 03/04/2024] [Indexed: 04/12/2024]
Abstract
RIG-I-like receptors (RLRs) are crucial for pathogen detection and triggering immune responses and have immense physiological importance. In this review, we first summarize the interferon system and innate immunity, which constitute primary and secondary responses. Next, the molecular structure of RLRs and the mechanism of sensing non-self RNA are described. Usually, self RNA is refractory to the RLR; however, there are underlying host mechanisms that prevent immune reactions. Studies have revealed that the regulatory mechanisms of RLRs involve covalent molecular modifications, association with regulatory factors, and subcellular localization. Viruses have evolved to acquire antagonistic RLR functions to escape the host immune reactions. Finally, the pathologies caused by the malfunction of RLR signaling are described.
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Affiliation(s)
- Mitsutoshi Yoneyama
- Division of Molecular Immunology, Medical Mycology Research Center, Chiba University, Chiba, Japan; Division of Pandemic and Post-disaster Infectious Diseases, Research Institute of Disaster Medicine, Chiba University, Chiba, Japan
| | - Hiroki Kato
- Institute of Cardiovascular Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Takashi Fujita
- Institute of Cardiovascular Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany; Laboratory of Regulatory Information, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan.
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Bui A, Kumar S, Liu J, Orcales F, Gulliver S, Tsoi LC, Gulliver W, Liao W. A partitioned 88-loci psoriasis genetic risk score reveals HLA and non-HLA contributions to clinical phenotypes in a Newfoundland psoriasis cohort. Front Genet 2023; 14:1141010. [PMID: 37323656 PMCID: PMC10265743 DOI: 10.3389/fgene.2023.1141010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 05/09/2023] [Indexed: 06/17/2023] Open
Abstract
Psoriasis is an immune-mediated inflammatory skin disease typically characterized by erythematous and scaly plaques. It affects 3% of the Newfoundland population while only affecting 1.7% of the general Canadian population. Recent genome-wide association studies (GWAS) in psoriasis have identified more than 63 genetic susceptibility loci that individually have modest effects. Prior studies have shown that a genetic risk score (GRS) combining multiple loci can improve psoriasis disease prediction. However, these prior GRS studies have not fully explored the association of GRS with patient clinical characteristics. In this study, we calculated three types of GRS: one using all known GWAS SNPs (GRS-ALL), one using a subset of SNPs from the HLA region (GRS-HLA), and the last using non-HLA SNPs (GRS-noHLA). We examined the relationship between these GRS and a number of psoriasis features within a well characterized Newfoundland psoriasis cohort. We found that both GRS-ALL and GRS-HLA were significantly associated with early age of psoriasis onset, psoriasis severity, first presentation of psoriasis at the elbow or knee, and the total number of body locations affected, while only GRS-ALL was associated with a positive family history of psoriasis. GRS-noHLA was uniquely associated with genital psoriasis. These findings clarify the relationship of the HLA and non-HLA components of GRS with important clinical features of psoriasis.
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Affiliation(s)
- Audrey Bui
- Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
- Lake Erie College of Osteopathic Medicine, Bradenton, FL, United States
| | - Sugandh Kumar
- Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
| | - Jared Liu
- Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
| | - Faye Orcales
- Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
| | | | - Lam C. Tsoi
- Department of Dermatology, University of Michigan, Ann Arbor, MI, United States
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States
| | - Wayne Gulliver
- NewLab Clinical Research Inc, St. John’s, NL, Canada
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Wilson Liao
- Department of Dermatology, University of California San Francisco, San Francisco, CA, United States
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Wang D, Min S, Lin X, Jiang G. Association Among MIF, IFIH1, and IL6 Gene Polymorphisms and Non-Segmental Vitiligo in a Chinese Han Population. Clin Cosmet Investig Dermatol 2022; 15:1597-1609. [PMID: 35983127 PMCID: PMC9380431 DOI: 10.2147/ccid.s369418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/13/2022] [Indexed: 11/23/2022]
Abstract
Objective The aim of the present study was to investigate the association of single-nucleotide polymorphisms (SNPs) in the macrophage migration inhibiting factor (MIF), interferon-induced Helicase C domain 1 (IFIH1), interleukin-6 (IL6) genes, circulating levels with non-segmental vitiligo (NSV) susceptibility in the Chinese population, and to analyze the relationships between gene polymorphisms and clinical characteristics of vitiligo. Methods In this study, genotyping was conducted in 155 patients with NSV and 117 unaffected controls using polymerase chain reaction and snapshot technique. Serum concentrations were determined by ELISA kit. Results There were strong associations between IFIH1 H843R and IL6-572G/C polymorphisms and NSV susceptibility (p = 0.013; p = 0.009). In contrast to previous studies, we found no significant difference in the MIF-173G/C polymorphism between the two groups. In addition, the frequency of allelic distribution for MIF-173G/C in patients with active NSV was significantly higher than stable NSV (p = 0.011), and IFIH1 H843R with early-onset (≤ 20), active or family history of NSV was significantly higher than late-onset (> 20), stable or no family history of NSV (p = 0.033; p = 0.045; p = 0.039). Serum concentrations of MIF were higher in patients with active NSV, serum IFIH1 and IL6 concentrations were related to the presence of polymorphisms in patients with NSV (p = 0.009; p = 0.011). Conclusion Our results suggested that IFIH1 H843R and IL6-572G/C gene polymorphisms and expression levels are obviously correlated with the onset of NSV. MIF-173G/C allele and serum concentrations may be associated with active NSV, and IFIH1 H843R allele may be associated with youth, active or family history of NSV.
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Affiliation(s)
- Danfeng Wang
- Department of Dermatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.,First Clinical Medical College, Xuzhou Medical University, Xuzhou, People's Republic of China
| | - Shuhui Min
- Department of Dermatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.,First Clinical Medical College, Xuzhou Medical University, Xuzhou, People's Republic of China
| | - Xiao Lin
- Department of Dermatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.,First Clinical Medical College, Xuzhou Medical University, Xuzhou, People's Republic of China
| | - Guan Jiang
- Department of Dermatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China.,First Clinical Medical College, Xuzhou Medical University, Xuzhou, People's Republic of China
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Li YP, Liu CR, Deng HL, Wang MQ, Tian Y, Chen Y, Zhang YF, Dang SS, Zhai S. DNA methylation and single-nucleotide polymorphisms in DDX58 are associated with hand, foot and mouth disease caused by enterovirus 71. PLoS Negl Trop Dis 2022; 16:e0010090. [PMID: 35041675 PMCID: PMC8765647 DOI: 10.1371/journal.pntd.0010090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 12/14/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND This research aimed to explore the association between the RIG-I-like receptor (RIG-I and MDA5 encoded by DDX58 and IFIH1, respectively) pathways and the risk or severity of hand, foot, and mouth disease caused by enterovirus 71 (EV71-HFMD). In this context, we explored the influence of gene methylation and polymorphism on EV71-HFMD. METHODOLOGY/PRINCIPAL FINDINGS 60 healthy controls and 120 EV71-HFMD patients, including 60 mild EV71-HFMD and 60 severe EV71-HFMD patients, were enrolled. First, MiSeq was performed to explore the methylation of CpG islands in the DDX58 and IFIH1 promoter regions. Then, DDX58 and IFIH1 expression were detected in PBMCs using RT-qPCR. Finally, imLDR was used to detect DDX58 and IFIH1 single-nucleotide polymorphism (SNP) genotypes. Severe EV71-HFMD patients exhibited higher DDX58 promoter methylation levels than healthy controls and mild EV71-HFMD patients. DDX58 promoter methylation was significantly associated with severe HFMD, sex, vomiting, high fever, neutrophil abundance, and lymphocyte abundance. DDX58 expression levels were significantly lower in mild patients than in healthy controls and lower in severe patients than in mild patients. Binary logistic regression analysis revealed statistically significant differences in the genotype frequencies of DDX58 rs3739674 between the mild and severe groups. GeneMANIA revealed that 19 proteins displayed correlations with DDX58, including DHX58, HERC5, MAVS, RAI14, WRNIP1 and ISG15, and 19 proteins displayed correlations with IFIH1, including TKFC, IDE, MAVS, DHX58, NLRC5, TSPAN6, USP3 and DDX58. CONCLUSIONS/SIGNIFICANCE DDX58 expression and promoter methylation were associated with EV71 infection progression, especially in severe EV71-HFMD patients. The effect of DDX58 in EV71-HFMD is worth further attention.
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MESH Headings
- Child
- Child, Preschool
- CpG Islands/genetics
- DEAD Box Protein 58/genetics
- DEAD Box Protein 58/metabolism
- DNA Methylation/genetics
- Enterovirus A, Human
- Female
- Genetic Predisposition to Disease/genetics
- Hand, Foot and Mouth Disease/pathology
- Hand, Foot and Mouth Disease/virology
- Humans
- Infant
- Interferon-Induced Helicase, IFIH1/genetics
- Interferon-Induced Helicase, IFIH1/metabolism
- Male
- Polymorphism, Single Nucleotide/genetics
- Promoter Regions, Genetic/genetics
- Receptors, Immunologic/genetics
- Receptors, Immunologic/metabolism
- Severity of Illness Index
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Affiliation(s)
- Ya-Ping Li
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
| | - Chen-Rui Liu
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
| | - Hui-Ling Deng
- Department of Infectious Diseases, Xi’an Children’s Hospital, Xi’an, China
- Department of Pediatric, Xi’an Central Hospital, Xi’an, China
| | - Mu-Qi Wang
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
| | - Yan Tian
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
| | - Yuan Chen
- Department of Infectious Diseases, Xi’an Children’s Hospital, Xi’an, China
| | - Yu-Feng Zhang
- Department of Infectious Diseases, Xi’an Children’s Hospital, Xi’an, China
| | - Shuang-Suo Dang
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
| | - Song Zhai
- Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China
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Bioinformatics analyses of significant genes, related pathways, and candidate diagnostic biomarkers and molecular targets in SARS-CoV-2/COVID-19. GENE REPORTS 2020; 21:100956. [PMID: 33553808 PMCID: PMC7854084 DOI: 10.1016/j.genrep.2020.100956] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/31/2020] [Indexed: 12/12/2022]
Abstract
Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) infection is a leading cause of pneumonia and death. The aim of this investigation is to identify the key genes in SARS-CoV-2 infection and uncover their potential functions. We downloaded the expression profiling by high throughput sequencing of GSE152075 from the Gene Expression Omnibus database. Normalization of the data from primary SARS-CoV-2 infected samples and negative control samples in the database was conducted using R software. Then, joint analysis of the data was performed. Pathway and Gene ontology (GO) enrichment analyses were performed, and the protein-protein interaction (PPI) network, target gene - miRNA regulatory network, target gene - TF regulatory network of the differentially expressed genes (DEGs) were constructed using Cytoscape software. Identification of diagnostic biomarkers was conducted using receiver operating characteristic (ROC) curve analysis. 994 DEGs (496 up regulated and 498 down regulated genes) were identified. Pathway and GO enrichment analysis showed up and down regulated genes mainly enriched in the NOD-like receptor signaling pathway, Ribosome, response to external biotic stimulus and viral transcription in SARS-CoV-2 infection. Down and up regulated genes were selected to establish the PPI network, modules, target gene - miRNA regulatory network, target gene - TF regulatory network revealed that these genes were involved in adaptive immune system, fluid shear stress and atherosclerosis, influenza A and protein processing in endoplasmic reticulum. In total, ten genes (CBL, ISG15, NEDD4, PML, REL, CTNNB1, ERBB2, JUN, RPS8 and STUB1) were identified as good diagnostic biomarkers. In conclusion, the identified DEGs, hub genes and target genes contribute to the understanding of the molecular mechanisms underlying the advancement of SARS-CoV-2 infection and they may be used as diagnostic and molecular targets for the treatment of patients with SARS-CoV-2 infection in the future.
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Key Words
- Bioinformatics
- CBL, Cbl proto-oncogene
- DEGs, differentially expressed genes
- Diagnosis
- GO, Gene ontology
- ISG15, ISG15 ubiquitin like modifier
- Key genes
- NEDD4, NEDD4 E3 ubiquitin protein ligase
- PML, promyelocyticleukemia
- PPI, protein-protein interaction
- Pathways
- REL, REL proto-oncogene, NF-kB subunit
- ROC, receiver operating characteristic
- SARS-CoV-2 infection
- SARS-CoV-2, Severe acute respiratory syndrome corona virus 2
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