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      Identifying HLA DRB1-DQB1 alleles associated with Chlamydia trachomatis infection and in silico prediction of potentially-related peptides

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          Abstract

          HLA class II (HLA-II) genes’ polymorphism influences the immune response to Chlamydia trachomatis ( Ct), it is considered a sexually transmitted infection. However, associations between HLA-II alleles and Ct-infection have been little explored in humans; this study was thus aimed at determining HLA- DRB1- DQB1 alleles/haplotypes’ effect on Ct-infection outcome in a cohort of Colombian women. Cervical sample DNA was used as template for detecting Ct by PCR and typing HLA- DRB1- DQB1 alleles/haplotypes by Illumina MiSeq sequencing. Survival models were adjusted for identifying the alleles/haplotypes’ effect on Ct-outcome; bioinformatics tools were used for predicting secreted bacterial protein T- and B-cell epitopes. Sixteen HLA- DRB1 alleles having a significant effect on Ct-outcome were identified in the 262 women analysed. DRB1*08:02:01G and DRB1*12:01:01G were related to infection-promoting events. Only the DQB1*05:03:01G allele related to clearance/persistence events was found for HLA- DQB1. HLA- DRB1 allele homozygous women were associated with events having a lower probability of clearance and/or early occurrence of persistence. Twenty-seven peptides predicted in silico were associated with protective immunity against Ct; outer membrane and polymorphic membrane protein-derived peptides had regions having dual potential for being T- or B-cell epitopes. This article describes HLA- DRB1- DQB1 alleles/haplotypes related to Ct-infection resolution and the peptides predicted in silico which might probably be involved in host immune response. The data provides base information for developing future studies leading to the development of effective prevention measures against Ct-infection.

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          SignalP 5.0 improves signal peptide predictions using deep neural networks

          Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.
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            BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes

            Abstract Antibodies have become an indispensable tool for many biotechnological and clinical applications. They bind their molecular target (antigen) by recognizing a portion of its structure (epitope) in a highly specific manner. The ability to predict epitopes from antigen sequences alone is a complex task. Despite substantial effort, limited advancement has been achieved over the last decade in the accuracy of epitope prediction methods, especially for those that rely on the sequence of the antigen only. Here, we present BepiPred-2.0 (http://www.cbs.dtu.dk/services/BepiPred/), a web server for predicting B-cell epitopes from antigen sequences. BepiPred-2.0 is based on a random forest algorithm trained on epitopes annotated from antibody-antigen protein structures. This new method was found to outperform other available tools for sequence-based epitope prediction both on epitope data derived from solved 3D structures, and on a large collection of linear epitopes downloaded from the IEDB database. The method displays results in a user-friendly and informative way, both for computer-savvy and non-expert users. We believe that BepiPred-2.0 will be a valuable tool for the bioinformatics and immunology community.
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              Sexually transmitted infections: challenges ahead.

              WHO estimated that nearly 1 million people become infected every day with any of four curable sexually transmitted infections (STIs): chlamydia, gonorrhoea, syphilis, and trichomoniasis. Despite their high global incidence, STIs remain a neglected area of research. In this Commission, we have prioritised five areas that represent particular challenges in STI treatment and control. Chlamydia remains the most commonly diagnosed bacterial STI in high-income countries despite widespread testing recommendations, sensitive and specific non-invasive testing techniques, and cheap effective therapy. We discuss the challenges for chlamydia control and evidence to support a shift from the current focus on infection-based screening to improved management of diagnosed cases and of chlamydial morbidity, such as pelvic inflammatory disease. The emergence and spread of antimicrobial resistance in Neisseria gonorrhoeae is globally recognised. We review current and potential future control and treatment strategies, with a focus on novel antimicrobials. Bacterial vaginosis is the most common vaginal disorder in women, but current treatments are associated with frequent recurrence. Recurrence after treatment might relate to evidence that suggests sexual transmission is integral to the pathogenesis of bacterial vaginosis, which has substantial implications for the development of effective management approaches. STIs disproportionately affect low-income and middle-income countries. We review strategies for case management, focusing on point-of-care tests that hold considerable potential for improving STI control. Lastly, STIs in men who have sex with men have increased since the late 1990s. We discuss the contribution of new biomedical HIV prevention strategies and risk compensation. Overall, this Commission aims to enhance the understanding of some of the key challenges facing the field of STIs, and outlines new approaches to improve the clinical management of STIs and public health.
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                Author and article information

                Contributors
                mapatarr.fidic@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 June 2021
                18 June 2021
                2021
                : 11
                : 12837
                Affiliations
                [1 ]GRID grid.418087.2, ISNI 0000 0004 0629 6527, Molecular Biology and Immunology Department, , Fundación Instituto de Inmunología de Colombia (FIDIC), ; 111321 Bogotá D.C., Colombia
                [2 ]GRID grid.10689.36, ISNI 0000 0001 0286 3748, MSc Programme in Microbiology, , Universidad Nacional de Colombia, ; 111321 Bogotá D.C., Colombia
                [3 ]GRID grid.442162.7, ISNI 0000 0000 8891 6208, Animal Science Faculty, , Universidad de Ciencias Aplicadas y Ambientales (U.D.C.A), ; 111166 Bogotá D.C., Colombia
                [4 ]GRID grid.10689.36, ISNI 0000 0001 0286 3748, Faculty of Medicine, , Universidad Nacional de Colombia, ; 111321 Bogotá D.C., Colombia
                [5 ]GRID grid.442190.a, ISNI 0000 0001 1503 9395, Health Sciences Division, , Main Campus, Universidad Santo Tomás, ; 110231 Bogotá D.C., Colombia
                Article
                92294
                10.1038/s41598-021-92294-w
                8213839
                34145318
                4da559d2-47cd-42e7-8051-bbb7e918d54b
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 February 2021
                : 9 June 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007637, Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS);
                Award ID: Colombian Programme for Promoting Researcher Training - Call 617 (PhD study in Colombia)
                Award ID: Colombian Programme for Promoting Researcher Training - Call 617 (PhD study in Colombia)
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100013409, Sistema General de Regalías de Colombia;
                Award ID: project BPIN-233, special agreement 021
                Award ID: project BPIN-233, special agreement 021
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                immunogenetics,bacterial infection
                Uncategorized
                immunogenetics, bacterial infection

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