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      Torque teno viruses exhaust and imprint the human immune system via the HLA-E/NKG2A axis

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          Abstract

          The ubiquitous Torque teno virus (TTV) establishes a chronically persistent infection in the human host. TTV has not been associated with any apparent disease, but, as part of the human virome, it may confer a regulatory imprint on the human immune system with as yet unclear consequences. However, so far, only few studies have characterized the TTV-specific immune responses or the overall immunological imprints by TTV. Here, we reveal that TTV infection leads to a highly exhausted TTV-specific CD8 + T-cell response, hallmarked by decreased IFN-γ production and the expression of the inhibitory NKG2A-receptor. On a functional level, we identified a panel of highly polymorphic TTV-encoded peptides that lead to an expansion of regulatory NKG2A + natural killer, NKG2A +CD4 +, and NKG2A +CD8 + T cells via the stabilization of the non-classical HLA-E molecule. Our results thus demonstrate that TTV leads to a distinct imprint on the human immune system that may further regulate overall human immune responses in infectious, autoimmune, and malignant diseases.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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              Estimation of the worldwide seroprevalence of cytomegalovirus: A systematic review and meta-analysis

              Cytomegalovirus (CMV) infection does not usually produce symptoms when it causes primary infection, reinfection, or reactivation because these three types of infection are all controlled by the normal immune system. However, CMV becomes an important pathogen in individuals whose immune system is immature or compromised, such as the unborn child. Several vaccines against CMV are currently in clinical trials that aim to induce immunity in seronegative individuals and/or to boost the immunity of those with prior natural infection (seropositives). To facilitate estimation of the burden of disease and the need for vaccines that induce de novo immune responses or that boost pre-existing immunity to CMV, we conducted a systematic survey of the published literature to describe the global seroprevalence of CMV IgG antibodies. We estimated a global CMV seroprevalence of 83% (95%UI: 78-88) in the general population, 86% (95%UI: 83-89) in women of childbearing age, and 86% (95%UI: 82-89) in donors of blood or organs. For each of these three groups, the highest seroprevalence was seen in the World Health Organisation (WHO) Eastern Mediterranean region 90% (95%UI: 85-94) and the lowest in WHO European region 66% (95%UI: 56-74). These estimates of the worldwide CMV distribution will help develop national and regional burden of disease models and inform future vaccine development efforts.
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                Author and article information

                Contributors
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                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                04 September 2024
                2024
                : 15
                : 1447980
                Affiliations
                [1] Center for Virology, Medical University Vienna , Vienna, Austria
                Author notes

                Edited by: Dennis Hartigan-O’Connor, University of California, Davis, United States

                Reviewed by: Tobias Allander, Karolinska University Hospital, Sweden

                Wibke Bayer, Essen University Hospital, Germany

                *Correspondence: Hannes Vietzen, hannes.vietzen@ 123456meduniwien.ac.at

                †These authors have contributed equally to this work and share last authorship

                Article
                10.3389/fimmu.2024.1447980
                11408220
                39295866
                30e68792-e8c5-4937-a1f5-a3fc7ded43a2
                Copyright © 2024 Vietzen, Simonitsch, Friedel, Berger, Kühner, Furlano, Florian, Görzer, Koblischke, Aberle and Puchhammer-Stöckl

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 June 2024
                : 09 August 2024
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 38, Pages: 13, Words: 7872
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was funded by the Center of Virology, Medical University of Vienna.
                Categories
                Immunology
                Original Research
                Custom metadata
                Viral Immunology

                Immunology
                ttv,torque teno virus,nkg2a,hla-e,immune evasion,immune regulation
                Immunology
                ttv, torque teno virus, nkg2a, hla-e, immune evasion, immune regulation

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