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      High-fat diet feeding exacerbates HIV-1 rectal transmission

      research-article
      1 , 2 , 3 , 4 , 1 , 2 ,
      mSystems
      American Society for Microbiology
      HIV-1 rectal transmission, HFD, MSM, inflammatory markers, gut microbial dysbiosis, double humanized BLT mice

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          ABSTRACT

          High-fat diet (HFD) is well known to impact various aspects of gut health and has been associated with many diseases and inflammation. However, the impact of HFD feeding on HIV-1 rectal transmission has not yet been well addressed. With an increasing threat of HIV-1 infection in men who have sex with men (MSM), where the rectal route is the primary mode of infection, it is imperative to understand the impact of HFD on gut microbiota and inflammation and consequently, its effect on HIV-1 rectal transmission. Here, we utilized our double humanized bone marrow, liver, thymus (dHu-BLT) mouse model to assess the impact of HFD feeding on the host’s susceptibility to HIV-1 rectal transmission. We found that feeding an HFD successfully altered the gut microbial composition within 3 weeks in the dHu-BLT mouse model. In addition, levels of inflammatory mediators, specifically IL-12p70, IP-10, ICAM-1, and fecal calprotectin, were significantly higher in HFD-fed mice compared to control mice on a regular chow diet. We also observed that significantly different inflammatory markers (IL-12p70 and ICAM-1) were negatively correlated with the number of observed ASVs, Shannon diversity, and Faith’s diversity in the HFD-fed group. Notably, when repeatedly challenged with a low dose of HIV-1 via a rectal route, mice receiving an HFD were significantly more susceptible to HIV-1 rectal infection than control mice. Together, these results underscore the impact of HFD feeding on the gut microbiota and inflammation and suggest the significance of diet-induced gut microbial dysbiosis and inflammation in promoting viral infection.

          IMPORTANCE

          HFD induces gut microbial dysbiosis and inflammation and has been associated with many infections and disease progression; however, its impact on HIV-1 rectal transmission is largely unknown. Given the increasing threat of HIV-1 incidence in men who have sex with men (MSM), it has become crucial to comprehend the impact of factors associated with gut health, like HFD consumption, on host susceptibility to HIV-1 rectal transmission. This is particularly important since anal intercourse remains the primary mode of HIV transmission within the MSM group. In this study, utilizing our unique mouse model, featuring both the human immune system and gut microbiota, we showed that HFD feeding led to gut microbial dysbiosis, induced inflammation, and increased HIV-1 rectal transmission. Collectively, our study highlights the significant impact of HFD on gut microbiota and inflammation and suggests an HFD consumption as a potential risk factor for promoting HIV-1 rectal susceptibility.

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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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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: MethodologyRole: Writing – review and editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review and editing
                Role: Editor
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                March 2024
                02 February 2024
                02 February 2024
                : 9
                : 3
                : e01322-23
                Affiliations
                [1 ]School of Biological Sciences, University of Nebraska-Lincoln; , Lincoln, Nebraska, USA
                [2 ]Nebraska Center for Virology, University of Nebraska-Lincoln; , Lincoln, Nebraska, USA
                [3 ]Department of Food Science and Technology, University of Nebraska-Lincoln; , Lincoln, Nebraska, USA
                [4 ]Nebraska Food for Health Center, University of Nebraska-Lincoln; , Lincoln, Nebraska, USA
                Duke University School of Medicine; , Durham, North Carolina, USA
                Author notes
                Address correspondence to Qingsheng Li, qli@ 123456unl.edu

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0009-0002-9525-905X
                https://orcid.org/0000-0003-0950-7548
                https://orcid.org/0000-0003-4101-4073
                Article
                01322-23 msystems.01322-23
                10.1128/msystems.01322-23
                10949459
                38303112
                9c44300e-0bb8-46ec-9cff-4dc6a740a0b5
                Copyright © 2024 Lohani et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 11 December 2023
                : 07 January 2024
                Page count
                supplementary-material: 2, authors: 3, Figures: 8, References: 99, Pages: 20, Words: 11677
                Funding
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: R21 AI143405-01
                Award Recipient :
                Categories
                Research Article
                human-microbiome, Human Microbiome
                Custom metadata
                March 2024

                hiv-1 rectal transmission,hfd,msm,inflammatory markers,gut microbial dysbiosis,double humanized blt mice

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