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Tuncel B, Kaygusuz S, Sayın Kocakap DB, Aksoy E, Azkur AK. Do CCR5 (CCR5Δ32) and TLR3 (RS5743313) gene polymorphisms prevent chronic hepatitis B infection? J Med Virol 2023; 95:e28376. [PMID: 36478230 DOI: 10.1002/jmv.28376] [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: 08/26/2022] [Revised: 11/07/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022]
Abstract
Hepatitis B virus (HBV) is still a significant health problem in human. HBV severity or sensitivity of patients may be based on the individual genetic factors significantly. The aim of this study is to investigate the association of CCR5 (CCR5Δ32), TLR3 (rs5743313) functional gene polymorphisms, interferon-gamma (IFN-ɣ) level in HBV infection, which are thought to play an important role in innate and acquired immunity in patients who have undergone HBV seroconversion and those who have chronic hepatitis B disease and receive treatment. One hundred patients who are became naturally immune against HBV infection (HBsAg negative, anti-HBc IgG, and anti-HBs IgG positive), and 100 patients with chronic hepatitis B infection (>6 months HBsAg positive) who are receiving oral antiviral therapy were compared for CCR5Δ32, TLR3 (rs5743313) genotypes and serum IFN-ɣ level. It was found that CCR5Δ32 polymorphism (Wt/Δ32 and Δ32/Δ32) was significantly higher in the chronic hepatitis B group (p = 0.048) but not for TLR3 gene polymorphism. However, serum IFN-ɣ level was significantly higher in the HBV seroconversion group (75 ± 89 ng/ml) than in the chronic hepatitis B group (4.35 ± 17.27 ng/ml) (p < 0.001). In conclusion, a higher CCR5Δ32 allele frequency in patients with chronic hepatitis B might be considered as a marker of progression to chronic hepatitis.
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Affiliation(s)
- Burçin Tuncel
- Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Kırıkkale University, Kırıkkale, Türkiye
| | - Sedat Kaygusuz
- Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Kırıkkale University, Kırıkkale, Türkiye
| | | | - Emel Aksoy
- Department of Virology, Faculty of Veterinary Medicine, Kırıkkale University, Kırıkkale, Türkiye
| | - Ahmet Kürşat Azkur
- Department of Virology, Faculty of Veterinary Medicine, Kırıkkale University, Kırıkkale, Türkiye
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Asghari A, Jafari F, Jameshorani M, Chiti H, Naseri M, Ghafourirankouhi A, Kooshkaki O, Abdshah A, Parsamanesh N. Vitamin D role in hepatitis B: focus on immune system and genetics mechanism. Heliyon 2022; 8:e11569. [DOI: 10.1016/j.heliyon.2022.e11569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 08/01/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
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Williams PT. Quantile-specific heritability of monocyte chemoattractant protein-1, and relevance to rs1024611-disease interactions. Cytokine 2021; 149:155722. [PMID: 34624603 PMCID: PMC10124179 DOI: 10.1016/j.cyto.2021.155722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Monocyte chemoattractant protein-1 (MCP-1) concentrations are 34% to 47% heritable. Larger -2518 G/A (rs1024611) genotypes differences are reported for: 1) MCP-1 production in stimulated vs. basal cells; and 2) MCP-1 concentrations in diseased (sepsis, brain abscess, hepatitis B virus, Alzheimer's disease, Behcet's disease, and systemic lupus erythematosus) vs. healthy patients. Those results suggest that the -2518 G/A effect size may depend on whether the phenotype is high or low relative to its distribution (quantile-dependent expressivity). METHOD To test whether quantile-dependent expressivity applies more broadly to genetic influences on MCP-1 concentrations, quantile-specific offspring-parent (βOP) and full-sib regression slopes (βFS) were estimated by applying quantile regression to the age- and sex-adjusted serum MCP-1 concentrations of Framingham Heart Study families. Quantile-specific heritabilities were calculated as h2 = 2βOP/(1 + rspouse) and h2={(1 + 8rspouseβFS)0.5-1}/(2rspouse)). RESULTS Heritability (h2 ± SE) of MCP-1 concentrations increased from 0.15 ± 0.05 at the 10th percentile of the MCP-1 distribution, 0.23 ± 0.04 at the 25th, 0.32 ± 0.05 at the 50th, 0.43 ± 0.07 at the 75th, and 0.44 ± 0.07 at the 90th percentile, or an 0.0041 ± 0.0009 increase for each one-percent increment in the MCP-1 distribution (Plinear trend = 2.4 × 10-5) when estimated from βOP, and (Plinear trend = 7.7 × 10-9) when estimated from βFS. Compared to the 10th percentile, βOP-estimated h2 was 3-fold greater at the 90th percentile (Pdifference = 0.0003), and 6.9-fold greater when estimated from βFS (Pdifference = 3.3 × 10-6). Re-analysis of in vivo comparison of MCP-1 concentrations in controls vs. patients with MCP-1-elevating conditions, and in vitro studies of MCP-1 production in basal vs. stimulated cells, show rs1024611 genotypes differences that were consistent with quantile-dependent expressivity. CONCLUSION The heritability of circulating MCP-1 concentrations is quantile-dependent.
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Affiliation(s)
- Paul T Williams
- Lawrence Berkeley National Laboratory, Molecular Biophysics & Integrated Bioimaging Division, 1 Cyclotron Road, Berkeley, CA 94720, United States.
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Ellwanger JH, Kulmann-Leal B, Kaminski VDL, Rodrigues AG, Bragatte MADS, Chies JAB. Beyond HIV infection: Neglected and varied impacts of CCR5 and CCR5Δ32 on viral diseases. Virus Res 2020; 286:198040. [PMID: 32479976 PMCID: PMC7260533 DOI: 10.1016/j.virusres.2020.198040] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/27/2020] [Accepted: 05/27/2020] [Indexed: 12/18/2022]
Abstract
CCR5 regulates multiple cell types (e.g., T regulatory and Natural Killer cells) and immune responses. The effects of CCR5, CCR5Δ32 (variant associated with reduced CCR5 expression) and CCR5 antagonists vary between infections. CCR5 affects the pathogenesis of flaviviruses, especially in the brain. The genetic variant CCR5Δ32 increases the risk of symptomatic West Nile virus infection. The triad “CCR5, extracellular vesicles and infections” is an emerging topic.
The interactions between chemokine receptors and their ligands may affect susceptibility to infectious diseases as well as their clinical manifestations. These interactions mediate both the traffic of inflammatory cells and virus-associated immune responses. In the context of viral infections, the human C-C chemokine receptor type 5 (CCR5) receives great attention from the scientific community due to its role as an HIV-1 co-receptor. The genetic variant CCR5Δ32 (32 base-pair deletion in CCR5 gene) impairs CCR5 expression on the cell surface and is associated with protection against HIV infection in homozygous individuals. Also, the genetic variant CCR5Δ32 modifies the CCR5-mediated inflammatory responses in various conditions, such as inflammatory and infectious diseases. CCR5 antagonists mimic, at least in part, the natural effects of the CCR5Δ32 in humans, which explains the growing interest in the potential benefits of using CCR5 modulators for the treatment of different diseases. Nevertheless, beyond HIV infection, understanding the effects of the CCR5Δ32 variant in multiple viral infections is essential to shed light on the potential effects of the CCR5 modulators from a broader perspective. In this context, this review discusses the involvement of CCR5 and the effects of the CCR5Δ32 in human infections caused by the following pathogens: West Nile virus, Influenza virus, Human papillomavirus, Hepatitis B virus, Hepatitis C virus, Poliovirus, Dengue virus, Human cytomegalovirus, Crimean-Congo hemorrhagic fever virus, Enterovirus, Japanese encephalitis virus, and Hantavirus. Subsequently, this review addresses the impacts of CCR5 gene editing and CCR5 modulation on health and viral diseases. Also, this article connects recent findings regarding extracellular vesicles (e.g., exosomes), viruses, and CCR5. Neglected and emerging topics in “CCR5 research” are briefly described, with focus on Rocio virus, Zika virus, Epstein-Barr virus, and Rhinovirus. Finally, the potential influence of CCR5 on the immune responses to coronaviruses is discussed.
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Affiliation(s)
- Joel Henrique Ellwanger
- Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
| | - Bruna Kulmann-Leal
- Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
| | - Valéria de Lima Kaminski
- Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Programa de Pós-Graduação em Biotecnologia, Laboratório de Imunologia Aplicada, Instituto de Ciência e Tecnologia - ICT, Universidade Federal de São Paulo - UNIFESP, São José dos Campos, São Paulo, Brazil
| | - Andressa Gonçalves Rodrigues
- Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
| | - Marcelo Alves de Souza Bragatte
- Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Núcleo de Bioinformática do Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
| | - José Artur Bogo Chies
- Laboratório de Imunobiologia e Imunogenética, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil.
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