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      Application of Ligilactobacillus salivarius CECT5713 to Achieve Term Pregnancies in Women with Repetitive Abortion or Infertility of Unknown Origin by Microbiological and Immunological Modulation of the Vaginal Ecosystem

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          Abstract

          In this study, the cervicovaginal environment of women with reproductive failure (repetitive abortion, infertility of unknown origin) was assessed and compared to that of healthy fertile women. Subsequently, the ability of Ligilactobacillus salivarius CECT5713 to increase pregnancy rates in women with reproductive failure was evaluated. Vaginal pH and Nugent score were higher in women with reproductive failure than in fertile women. The opposite was observed regarding the immune factors TGF-β 1, TFG-β 2, and VEFG. Lactobacilli were detected at a higher frequency and concentration in fertile women than in women with repetitive abortion or infertility. The metataxonomic study revealed that vaginal samples from fertile women were characterized by the high abundance of Lactobacillus sequences, while DNA from this genus was practically absent in one third of samples from women with reproductive failure. Daily oral administration of L. salivarius CECT5713 (~9 log 10 CFU/day) to women with reproductive failure for a maximum of 6 months resulted in an overall successful pregnancy rate of 56%. The probiotic intervention modified key microbiological, biochemical, and immunological parameters in women who got pregnant. In conclusion, L. salivarius CECT5713 has proved to be a good candidate to improve reproductive success in women with reproductive failure.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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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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              • Record: found
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                06 January 2021
                January 2021
                : 13
                : 1
                : 162
                Affiliations
                [1 ]Department of Galenic Pharmacy and Food Technology, Complutense University of Madrid, 28040 Madrid, Spain
                [2 ]Department of Nutrition and Food Science, Complutense University of Madrid, 28040 Madrid, Spain; irmacastro@ 123456ucm.es (I.C.); rebecaa@ 123456vet.ucm.es (R.A.); c.alba@ 123456ucm.es (C.A.)
                [3 ]Centro de Diagnóstico Médico, Ayuntamiento de Madrid, 28006 Madrid, Spain; beltrangine@ 123456gmail.com
                Author notes
                [* ]Correspondence: leonides@ 123456vet.ucm.es (L.F.); jmrodrig@ 123456ucm.es (J.M.R.); Tel.: +34-913943745 (L.F.); +34-913943745 (J.M.R.)
                Author information
                https://orcid.org/0000-0003-2380-0767
                https://orcid.org/0000-0002-5605-3422
                https://orcid.org/0000-0002-1285-9686
                Article
                nutrients-13-00162
                10.3390/nu13010162
                7825435
                33419054
                5009f4ad-0ca8-48b5-8a61-7f987fcbf9e0
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 November 2020
                : 30 December 2020
                Categories
                Article

                Nutrition & Dietetics
                infertility,repetitive abortion,implantation failure,lactobacillus salivarius,probiotics,vaginal microbiome,tgf-β,vegf

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