Polymorphisms of Cx(3)CR1 and CXCR6 receptors in relation to HAART therapy of HIV type 1 patients

Association of 3p21.31 Locus (CXCR6 and LZTFL1) with COVID-19 Outcomes in Brazilian Hospitalyzed Subjects

The 3p21.31 locus has been associated with severe COVID-19 prognosis in GWAS studies. Here, we evaluated whether three polymorphisms (LZTFL1 rs10490770, CXCR6 rs2234355 and rs2234358) in the reported locus were associated with the need for mechanical ventilation, hospitalization length and death in 102 COVID-19 hospitalized Brazilian subjects. No genetic association was found with the need for mechanical ventilation and hospitalization length. CXCR6 rs2234355 was associated with mortality under the codominance model, with carriers of the A/A genotype having a greater chance of death than A/G (OR: 10.5; 95% CI: 1.55-70.76). Our results further suggest that the CXCR6 genetic variant contributes to COVID-19 outcomes.

Mechanism of Viral Suppression among HIV Elite Controllers and Long-Term Nonprogressors in Nigeria and South Africa

A subgroup among people living with HIV (PLHIV) experience viral suppression, sometimes to an undetectable level in the blood and/or are able to maintain a healthy CD4+ T-cell count without the influence of antiretroviral (ARV) therapy. One out of three hundred PLHIV fall into this category, and a large sample of this group can be found in areas with a high prevalence of HIV infection such as Nigeria and South Africa. Understanding the mechanism underpinning the nonprogressive phenotype in this subgroup may provide insights into the control of the global HIV epidemic. This work provides mechanisms of the elite control and nonprogressive phenotype among PLHIV in Nigeria and South Africa and identifies research gaps that will contribute to a better understanding on HIV controllers among PLHIV.

The Role of CXCL16 in the Pathogenesis of Cancer and Other Diseases

CXCL16 is a chemotactic cytokine belonging to the α-chemokine subfamily. It plays a significant role in the progression of cancer, as well as the course of atherosclerosis, renal fibrosis, and non-alcoholic fatty liver disease (NAFLD). Since there has been no review paper discussing the importance of this chemokine in various diseases, we have collected all available knowledge about CXCL16 in this review. In the first part of the paper, we discuss background information about CXCL16 and its receptor, CXCR6. Next, we focus on the importance of CXCL16 in a variety of diseases, with an emphasis on cancer. We discuss the role of CXCL16 in tumor cell proliferation, migration, invasion, and metastasis. Next, we describe the role of CXCL16 in the tumor microenvironment, including involvement in angiogenesis, and its significance in tumor-associated cells (cancer associated fibroblasts (CAF), microglia, tumor-associated macrophages (TAM), tumor-associated neutrophils (TAN), mesenchymal stem cells (MSC), myeloid suppressor cells (MDSC), and regulatory T cells (T_reg)). Finally, we focus on the antitumor properties of CXCL16, which are mainly caused by natural killer T (NKT) cells. At the end of the article, we summarize the importance of CXCL16 in cancer therapy.

CXCR6 gene characterization in two ethnically distinct South African populations and association with viraemic disease control in HIV-1-infected black South African individuals

CXCR6 genetic variation was described for HIV-1-uninfected black (n=41) and Caucasian (n=40) South Africans. We also investigated the CXCR6 rs2234358 and rs2234355 single nucleotide polymorphisms in HIV-1 disease control in 124 HIV-1-infected drug-naïve black individuals [elite controllers (n=11), viraemic controllers (VCs, n=30), high viral load long-term nonprogressors (HVL LTNPs, n=11) and progressors (n=72)] compared to healthy controls (HCs; n=232). The rs2234358-T allele was underrepresented in VCs (40.0%) compared to HCs (59%, P=0.006), HVL LTNPs (72.7%, P=0.012) and progressors (59%, P=0.014). The rs2234358-TT genotype was underrepresented in VCs (7%) compared to progressors (32%; OR=6.57, P=0.006) and HCs (35%; OR=7.18, P=0.001, P_bonferroni=0.034). The rs2234355-GA genotype was overrepresented in VCs (80%) compared to HCs (50.4%; OR=0.25, P=0.003) and progressors (29.17%; OR=0.10, P=3.8×10^-5, P_bonferroni=0.001). The combination of rs2234355-GA in the absence of rs2234358-TT was overrepresented in VCs (80%) compared to HCs (32.6%, OR=0.12, P=1×10^-6, P_bonferroni=3.4×10^-5) and to progressors (16.7%; OR=0.05, P<1×10^-8, P_bonferroni<1×10^-7).

Membrane-associated GRP78 helps subgroup J avian leucosis virus enter cells

We previously identified chicken Annexin A2 (chANXA2) as a novel receptor for retrovirus avian leucosis virus subgroup J (ALV-J), using a DF1 cell line expressing the viral envelope (env) protein. To further probe whether other proteins participate in virus infection, we investigated several host proteins from co-immunoprecipitation with the DF1 cell line expressing viral env. Mass spectrometry analysis indicates that the chicken glucose-regulation protein 78 (chGRP78) of the DF1 membrane interacted with the ALV-J env protein. The results revealed that antibodies or siRNA to chGRP78 significantly inhibited ALV-J infection and replication, and over-expression of chGRP78 enabled the entry of ALV-J into non-susceptible cells. Taken together, these results are the first to report that chGRP78 functions to help ALV-J enter cells.

Host Factors and HIV-1 Replication: Clinical Evidence and Potential Therapeutic Approaches

HIV and human defense mechanisms have co-evolved to counteract each other. In the process of infection, HIV takes advantage of cellular machinery and blocks the action of the host restriction factors (RF). A small subset of HIV+ individuals control HIV infection and progression to AIDS in the absence of treatment. These individuals known as long-term non-progressors (LNTPs) exhibit genetic and immunological characteristics that confer upon them an efficient resistance to infection and/or disease progression. The identification of some of these host factors led to the development of therapeutic approaches that attempted to mimic the natural control of HIV infection. Some of these approaches are currently being tested in clinical trials. While there are many genes which carry mutations and polymorphisms associated with non-progression, this review will be specifically focused on HIV host RF including both the main chemokine receptors and chemokines as well as intracellular RF including, APOBEC, TRIM, tetherin, and SAMHD1. The understanding of molecular profiles and mechanisms present in LTNPs should provide new insights to control HIV infection and contribute to the development of novel therapies against AIDS.

Inference of surface membrane factors of HIV-1 infection through functional interaction networks

BACKGROUND

HIV infection affects the populations of T helper cells, dendritic cells and macrophages. Moreover, it has a serious impact on the central nervous system. It is yet not clear whether this list is complete and why specifically those cell types are affected. To address this question, we have developed a method to identify cellular surface proteins that permit, mediate or enhance HIV infection in different cell/tissue types in HIV-infected individuals. Receptors associated with HIV infection share common functions and domains and are involved in similar cellular processes. These properties are exploited by bioinformatics techniques to predict novel cell surface proteins that potentially interact with HIV.

METHODOLOGY/PRINCIPAL FINDINGS

We compiled a set of surface membrane proteins (SMP) that are known to interact with HIV. This set is extended by proteins that have direct interaction and share functional similarity. This resulted in a comprehensive network around the initial SMP set. Using network centrality analysis we predict novel surface membrane factors from the annotated network. We identify 21 surface membrane factors, among which three have confirmed functions in HIV infection, seven have been identified by at least two other studies, and eleven are novel predictions and thus excellent targets for experimental investigation.

CONCLUSIONS

Determining to what extent HIV can interact with human SMPs is an important step towards understanding patient specific disease progression. Using various bioinformatics techniques, we generate a set of surface membrane factors that constitutes a well-founded starting point for experimental testing of cell/tissue susceptibility of different HIV strains as well as for cohort studies evaluating patient specific disease progression.