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      The impact of skin care products on skin chemistry and microbiome dynamics

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          Abstract

          Background

          Use of skin personal care products on a regular basis is nearly ubiquitous, but their effects on molecular and microbial diversity of the skin are unknown. We evaluated the impact of four beauty products (a facial lotion, a moisturizer, a foot powder, and a deodorant) on 11 volunteers over 9 weeks.

          Results

          Mass spectrometry and 16S rRNA inventories of the skin revealed decreases in chemical as well as in bacterial and archaeal diversity on halting deodorant use. Specific compounds from beauty products used before the study remain detectable with half-lives of 0.5–1.9 weeks. The deodorant and foot powder increased molecular, bacterial, and archaeal diversity, while arm and face lotions had little effect on bacterial and archaeal but increased chemical diversity. Personal care product effects last for weeks and produce highly individualized responses, including alterations in steroid and pheromone levels and in bacterial and archaeal ecosystem structure and dynamics.

          Conclusions

          These findings may lead to next-generation precision beauty products and therapies for skin disorders.

          Electronic supplementary material

          The online version of this article (10.1186/s12915-019-0660-6) contains supplementary material, which is available to authorized users.

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          Most cited references44

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          EMPeror: a tool for visualizing high-throughput microbial community data

          Background As microbial ecologists take advantage of high-throughput sequencing technologies to describe microbial communities across ever-increasing numbers of samples, new analysis tools are required to relate the distribution of microbes among larger numbers of communities, and to use increasingly rich and standards-compliant metadata to understand the biological factors driving these relationships. In particular, the Earth Microbiome Project drives these needs by profiling the genomic content of tens of thousands of samples across multiple environment types. Findings Features of EMPeror include: ability to visualize gradients and categorical data, visualize different principal coordinates axes, present the data in the form of parallel coordinates, show taxa as well as environmental samples, dynamically adjust the size and transparency of the spheres representing the communities on a per-category basis, dynamically scale the axes according to the fraction of variance each explains, show, hide or recolor points according to arbitrary metadata including that compliant with the MIxS family of standards developed by the Genomic Standards Consortium, display jackknifed-resampled data to assess statistical confidence in clustering, perform coordinate comparisons (useful for procrustes analysis plots), and greatly reduce loading times and overall memory footprint compared with existing approaches. Additionally, ease of sharing, given EMPeror’s small output file size, enables agile collaboration by allowing users to embed these visualizations via emails or web pages without the need for extra plugins. Conclusions Here we present EMPeror, an open source and web browser enabled tool with a versatile command line interface that allows researchers to perform rapid exploratory investigations of 3D visualizations of microbial community data, such as the widely used principal coordinates plots. EMPeror includes a rich set of controllers to modify features as a function of the metadata. By being specifically tailored to the requirements of microbial ecologists, EMPeror thus increases the speed with which insight can be gained from large microbiome datasets.
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            Mass spectral molecular networking of living microbial colonies.

            Integrating the governing chemistry with the genomics and phenotypes of microbial colonies has been a "holy grail" in microbiology. This work describes a highly sensitive, broadly applicable, and cost-effective approach that allows metabolic profiling of live microbial colonies directly from a Petri dish without any sample preparation. Nanospray desorption electrospray ionization mass spectrometry (MS), combined with alignment of MS data and molecular networking, enabled monitoring of metabolite production from live microbial colonies from diverse bacterial genera, including Bacillus subtilis, Streptomyces coelicolor, Mycobacterium smegmatis, and Pseudomonas aeruginosa. This work demonstrates that, by using these tools to visualize small molecular changes within bacterial interactions, insights can be gained into bacterial developmental processes as a result of the improved organization of MS/MS data. To validate this experimental platform, metabolic profiling was performed on Pseudomonas sp. SH-C52, which protects sugar beet plants from infections by specific soil-borne fungi [R. Mendes et al. (2011) Science 332:1097-1100]. The antifungal effect of strain SH-C52 was attributed to thanamycin, a predicted lipopeptide encoded by a nonribosomal peptide synthetase gene cluster. Our technology, in combination with our recently developed peptidogenomics strategy, enabled the detection and partial characterization of thanamycin and showed that it is a monochlorinated lipopeptide that belongs to the syringomycin family of antifungal agents. In conclusion, the platform presented here provides a significant advancement in our ability to understand the spatiotemporal dynamics of metabolite production in live microbial colonies and communities.
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              Dialogue between skin microbiota and immunity.

              Human skin, the body's largest organ, functions as a physical barrier to bar the entry of foreign pathogens, while concomitantly providing a home to myriad commensals. Over a human's life span, keratinized skin cells, immune cells, and microbes all interact to integrate the processes of maintaining skin's physical and immune barrier under homeostatic healthy conditions and also under multiple stresses, such as wounding or infection. In this Review, we explore the intricate interactions of microbes and immune cells on the skin surface and within associated appendages to regulate this orchestrated maturation in the context of both host physiological changes and environmental challenges. Copyright © 2014, American Association for the Advancement of Science.
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                Author and article information

                Contributors
                rknight@ucsd.edu
                pdorrestein@ucsd.edu
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                12 June 2019
                12 June 2019
                2019
                : 17
                : 47
                Affiliations
                [1 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Collaborative Mass Spectrometry Innovation Center, , Skaggs School of Pharmacy and Pharmaceutical Sciences, ; San Diego, USA
                [2 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Pediatrics, , University of California, San Diego, ; La Jolla, CA 92037 USA
                [3 ]Department for Pediatric Oncology, Hematology and Clinical Immunology, University Children’s Hospital, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
                [4 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Center for Microbial Ecology and Technology, , Ghent University, ; 9000 Ghent, Belgium
                [5 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Center for Microbiome Innovation, , University of California, San Diego, ; La Jolla, CA 92307 USA
                [6 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Bioengineering, , University of California, San Diego, ; La Jolla, CA 92093 USA
                [7 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Computer Science and Engineering, , University of California, San Diego, ; La Jolla, CA 92093 USA
                [8 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Pharmacology, , University of California, San Diego, ; La Jolla, CA 92037 USA
                Article
                660
                10.1186/s12915-019-0660-6
                6560912
                31189482
                21ef0d47-f181-4c64-9c6d-1e71a1aa4ed1
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 February 2019
                : 30 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Award ID: 634402
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005289, National Institute of Justice;
                Award ID: 2015-DN-BX-K047
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001491, Belgian American Educational Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: AR071731
                Award Recipient :
                Funded by: Vaadia-BARD Postdoctoral Fellowship
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Life sciences
                skin,skin care products,mass spectrometry,metabolomics,16s rrna sequencing,bacteria
                Life sciences
                skin, skin care products, mass spectrometry, metabolomics, 16s rrna sequencing, bacteria

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