23
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Altered oral and gut microbiota and its association with SARS-CoV-2 viral load in COVID-19 patients during hospitalization

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The human oral and gut commensal microbes play vital roles in the development and maintenance of immune homeostasis, while its association with susceptibility and severity of SARS-CoV-2 infection is barely understood. In this study, we investigated the dynamics of the oral and intestinal flora before and after the clearance of SARS-CoV-2 in 53 COVID-19 patients, and then examined their microbiome alterations in comparison to 76 healthy individuals. A total of 140 throat swab samples and 81 fecal samples from these COVID-19 patients during hospitalization, and 44 throat swab samples and 32 fecal samples from sex and age-matched healthy individuals were collected and then subjected to 16S rRNA sequencing and viral load inspection. We found that SARS-CoV-2 infection was associated with alterations of the microbiome community in patients as indicated by both alpha and beta diversity indexes. Several bacterial taxa were identified related to SARS-CoV-2 infection, wherein elevated Granulicatella and Rothia mucilaginosa were found in both oral and gut microbiome. The SARS-CoV-2 viral load in those samples was also calculated to identify potential dynamics between COVID-19 and the microbiome. These findings provide a meaningful baseline for microbes in the digestive tract of COVID-19 patients and will shed light on new dimensions for disease pathophysiology, potential microbial biomarkers, and treatment strategies for COVID-19.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: found
          • Article: not found

          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.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            QIIME allows analysis of high-throughput community sequencing data.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Metagenomic biomarker discovery and explanation

              This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
                Bookmark

                Author and article information

                Contributors
                lujiahai@mail.sysu.edu.cn
                cg2984@cumc.columbia.edu
                shanhong@mail.sysu.edu.cn
                huangxi6@mail.sysu.edu.cn
                Journal
                NPJ Biofilms Microbiomes
                NPJ Biofilms Microbiomes
                NPJ Biofilms and Microbiomes
                Nature Publishing Group UK (London )
                2055-5008
                22 July 2021
                22 July 2021
                2021
                : 7
                : 61
                Affiliations
                [1 ]GRID grid.452859.7, Center for Infection and Immunity, , The Fifth Affiliated Hospital, Sun Yat-sen University, ; Zhuhai, Guangdong China
                [2 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, School of public health, , Sun Yat-sen University, ; Guangzhou, Guangdong China
                [3 ]GRID grid.452859.7, Guangdong Provincial Engineering Research Center of Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Imaging, and Department of Interventional Medicine, , The Fifth Affiliated Hospital, Sun Yat-sen University, ; Zhuhai, Guangdong China
                [4 ]GRID grid.511004.1, Southern Marine Science and Engineering Guangdong Laboratory, ; Zhuhai, Guangdong China
                [5 ]GRID grid.410741.7, National Clinical Research Center for Infectious Disease, , Shenzhen Third People’ s Hospital; The Second Affiliated Hospital of Southern University of Science and Technology, ; Shenzhen, Guangdong China
                [6 ]GRID grid.21729.3f, ISNI 0000000419368729, Center for Infection and Immunity, Mailman School of Public Health, , Columbia University, ; New York, NY USA
                Author information
                http://orcid.org/0000-0001-9111-6954
                http://orcid.org/0000-0002-8593-3402
                http://orcid.org/0000-0002-6602-8810
                http://orcid.org/0000-0001-6640-1390
                http://orcid.org/0000-0002-4829-8390
                Article
                232
                10.1038/s41522-021-00232-5
                8298611
                34294722
                648f0be1-dd13-4c22-aefc-c2e97624961f
                © 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
                : 23 January 2021
                : 1 July 2021
                Funding
                Funded by: National Natural Science Foundation of China (82072062), National Science and Technology Key Projects for Major Infectious Diseases (2017ZX10302301-002), Guangzhou Science and Technology Planning Project (201704020226 and 201604020006), National Key Research and Development Program of China (2016YFC1200105), The Three Major Scientific Research Projects of Sun Yat-sen University (20200326236), Guangdong Scientific and Technological Research Project for COVID-19 containment (2020A111128022, 2020B111112003), Guangdong Scientific and Technological Research for COVID-19 (202020012612200001), Zhuhai Scientific and Technological Research Project for COVID-19 containment (ZH22036302200029PWC).
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                clinical microbiology,microbiome
                clinical microbiology, microbiome

                Comments

                Comment on this article