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      Fecal microbiota transplantation in HIV: A pilot placebo-controlled study

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          Abstract

          Changes in the microbiota have been linked to persistent inflammation during treated HIV infection. In this pilot double-blind study, we study 30 HIV-infected subjects on antiretroviral therapy (ART) with a CD4/CD8 ratio < 1 randomized to either weekly fecal microbiota capsules or placebo for 8 weeks. Stool donors were rationally selected based on their microbiota signatures. We report that fecal microbiota transplantation (FMT) is safe, not related to severe adverse events, and attenuates HIV-associated dysbiosis. FMT elicits changes in gut microbiota structure, including significant increases in alpha diversity, and a mild and transient engraftment of donor’s microbiota during the treatment period. The greater engraftment seems to be achieved by recent antibiotic use before FMT. The Lachnospiraceae and Ruminococcaceae families, which are typically depleted in people with HIV, are the taxa more robustly engrafted across time-points. In exploratory analyses, we describe a significant amelioration in the FMT group in intestinal fatty acid-binding protein (IFABP), a biomarker of intestinal damage that independently predicts mortality. Gut microbiota manipulation using a non-invasive and safe strategy of FMT delivery is feasible and deserves further investigation. Trial number: NCT03008941.

          Abstract

          It is unknown whether capsulized fecal microbiota transplantation (FMT) can modify the microbiota of people with HIV. Here, the authors report the results of a pilot double-blind study, where 30 HIV-infected subjects on ART were randomized to either weekly oral FMT capsules or placebo for 8 weeks, and show that transplanted microbiota successfully engrafts and is able to attenuate HIV-associated dysbiosis.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

            Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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              The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

              SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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                Author and article information

                Contributors
                sergio.serrano@salud.madrid.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 February 2021
                18 February 2021
                2021
                : 12
                : 1139
                Affiliations
                [1 ]GRID grid.411347.4, ISNI 0000 0000 9248 5770, Department of Infectious Diseases, , Hospital Universitario Ramon y Cajal, and IRYCIS, ; Madrid, Spain
                [2 ]GRID grid.411347.4, ISNI 0000 0000 9248 5770, Bioinformatics Unit, , Hospital Universitario Ramon y Cajal, IRYCIS, ; Madrid, Spain
                [3 ]GRID grid.428862.2, Area of Genomics and Health, , FISABIO-Salud Pública, ; Valencia, Spain
                [4 ]GRID grid.466571.7, ISNI 0000 0004 1756 6246, Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), ; Madrid, Spain
                [5 ]GRID grid.489033.5, OpenBiome, ; Cambridge, MA USA
                [6 ]GRID grid.4795.f, ISNI 0000 0001 2157 7667, Department of Nutrition, Facultad de Farmacia, , Universidad Complutense, ; Madrid, Spain
                [7 ]GRID grid.4868.2, ISNI 0000 0001 2171 1133, Barts and the London School for Medicine and Dentistry. Queen Mary University of London, ; London, UK
                [8 ]GRID grid.507638.f, Institute for Integrative Systems Biology (I2SysBio), , The University of Valencia and The Spanish National Research Council (CSIC)-UVEG), ; Valencia, Spain
                Author information
                http://orcid.org/0000-0002-5447-3554
                http://orcid.org/0000-0001-8053-4624
                http://orcid.org/0000-0003-1697-1461
                http://orcid.org/0000-0002-2867-1119
                Article
                21472
                10.1038/s41467-021-21472-1
                7892558
                33602945
                afcd84a9-977d-4615-8737-22403266d130
                © 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 June 2020
                : 29 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004587, Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III);
                Award ID: PI18/00154
                Award ID: AC17/00022
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100005564, Gilead Sciences (Gilead);
                Award ID: GLD16-000
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                hiv infections,chronic inflammation,bacteria,microbial communities,retrovirus
                Uncategorized
                hiv infections, chronic inflammation, bacteria, microbial communities, retrovirus

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