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      Influence of the pneumococcal conjugate vaccines on the temporal variation of pneumococcal carriage and the nasal microbiota in healthy infants: a longitudinal analysis of a case–control study

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          Abstract

          Background

          Bacterial colonization of the upper airways is a prerequisite for subsequent invasive disease. With the introduction of the 7- and 13-valent pneumococcal conjugate vaccines (PCV7 and PCV13), changes in pneumococcal upper airway colonization have been described. It is, however, less evident whether the vaccines lead to compositional changes of the upper airway microbiota. Here, we performed a case–control study using samples from a longitudinal infant cohort from Switzerland. We compared pneumococcal carriage and the nasal microbiota within the first year of life of healthy infants vaccinated with either PCV7 ( n = 20, born in 2010) or PCV13 ( n = 21, born between 2011 and 2013). Nasal swabs were collected every second week ( n = 763 in total). Pneumococcal carriage was analyzed by quantitative PCR of the pneumococcal-specific lytA gene. Analysis of the bacterial core microbiota was performed based on 16S rRNA sequencing and subsequent oligotyping. We exclusively performed oligotyping of the core microbiota members, which were defined as the five most abundant bacterial families ( Moraxellaceae, Streptococcaceae, Staphylococcaceae, Corynebacteriaceae, and Pasteurellaceae). Linear mixed effect (LME) and negative binomial regression models were used for statistical analyses.

          Results

          We found a higher number of samples positive for pneumococcal carriage in PCV7- compared to PCV13-vaccinated infants (LME model; P = 0.01). In contrast, infants vaccinated in the PCV13 era had an increased alpha diversity as measured by the richness and the Shannon Diversity Index (LME model; P = 0.003 and P = 0.01, respectively). Accordingly, the PCV13 era was associated with clusters of a higher diversity than PCV7-associated clusters. Furthermore, infants vaccinated with PCV13 had a higher binary-based within-subject microbiota similarity, as well as a decreased Jensen–Shannon distance over time as compared to PCV7-vaccinated infants, indicating a higher microbiota stability in the PCV13 era (LME model and t test; P = 0.06 and P = 0.03, respectively).

          Conclusions

          We hypothesize that the higher diversity and stability of the upper airway microbiota in the PCV13 era is the result of the lower pneumococcal carriage rate. This seems to indicate that the nasal bacterial microbiota of infants has changed in recent years as compared to the beginning of this study.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40168-017-0302-6) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          Temporal dynamics of the human vaginal microbiota.

          Elucidating the factors that impinge on the stability of bacterial communities in the vagina may help in predicting the risk of diseases that affect women's health. Here, we describe the temporal dynamics of the composition of vaginal bacterial communities in 32 reproductive-age women over a 16-week period. The analysis revealed the dynamics of five major classes of bacterial communities and showed that some communities change markedly over short time periods, whereas others are relatively stable. Modeling community stability using new quantitative measures indicates that deviation from stability correlates with time in the menstrual cycle, bacterial community composition, and sexual activity. The women studied are healthy; thus, it appears that neither variation in community composition per se nor higher levels of observed diversity (co-dominance) are necessarily indicative of dysbiosis.
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            Evaluation and improvement of real-time PCR assays targeting lytA, ply, and psaA genes for detection of pneumococcal DNA.

            The accurate diagnosis of pneumococcal disease has frequently been hampered not only by the difficulties in obtaining isolates of the organism from patient specimens but also by the misidentification of pneumococcus-like viridans group streptococci (P-LVS) as Streptococcus pneumoniae. This is especially critical when the specimen comes from the respiratory tract. In this study, three novel real-time PCR assays designed for the detection of specific sequence regions of the lytA, ply, and psaA genes were developed (lytA-CDC, ply-CDC, and psaA, respectively). These assays showed high sensitivity (<10 copies for lytA-CDC and ply-CDC and an approximately twofold less sensitivity for psaA). Two additional real-time PCR assays for lytA and ply described previously for pneumococcal DNA detection were also evaluated. A panel of isolates consisting of 67 S. pneumoniae isolates (44 different serotypes and 3 nonencapsulated S. pneumoniae isolates from conjunctivitis outbreaks) and 104 nonpneumococcal isolates was used. The 67 S. pneumoniae isolates were reactive in all five assays. The new real-time detection assays targeting the lytA and psaA genes were the most specific for the detection of isolates confirmed to be S. pneumoniae, with lytA-CDC showing the greatest specificity. Both ply PCRs were positive for all isolates of S. pseudopneumoniae, along with 13 other isolates of other P-LVS isolates confirmed to be non-S. pneumoniae by DNA-DNA reassociation. Thus, the use of the ply gene for the detection of pneumococci can lead to false-positive reactions in the presence of P-LVS. The five assays were applied to 15 culture-positive cerebrospinal fluid specimens with 100% sensitivity; and serum and ear fluid specimens were also evaluated. Both the lytA-CDC and psaA assays, particularly the lytA-CDC assay, have improved specificities compared with those of currently available assays and should therefore be considered the assays of choice for the detection of pneumococcal DNA, particularly when upper respiratory P-LVS might be present in the clinical specimen.
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              A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity

              The standard pipeline for 16S amplicon analysis starts by clustering sequences within a percent sequence similarity threshold (typically 97%) into ‘Operational Taxonomic Units’ (OTUs). From each OTU, a single sequence is selected as a representative. This representative sequence is annotated, and that annotation is applied to all remaining sequences within that OTU. This perspective paper will discuss the known shortcomings of this standard approach using results obtained from the Human Microbiome Project. In particular, we will show that the traditional approach of using pairwise sequence alignments to compute sequence similarity can result in poorly clustered OTUs. As OTUs are typically annotated based upon a single representative sequence, poorly clustered OTUs can have significant impact on downstream analyses. These results suggest that we need to move beyond simple clustering techniques for 16S analysis.
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                Author and article information

                Contributors
                +41 31 632 49 83 , markus.hilty@ifik.unibe.ch
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                24 July 2017
                24 July 2017
                2017
                : 5
                : 85
                Affiliations
                [1 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Institute for Infectious Diseases, , University of Bern, ; Friedbühlstrasse 51, 3010 Bern, Switzerland
                [2 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Graduate School for Cellular and Biomedical Sciences, , University of Bern, ; Bern, Switzerland
                [3 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Division of Respiratory Medicine, Department of Pediatrics, Inselspital, , University of Bern, ; Bern, Switzerland
                [4 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Microbiology, , The Forsyth Institute, ; Cambridge, MA USA
                [5 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Oral Medicine, Infection and Immunity, , Harvard School of Dental Medicine, ; Boston, MA USA
                [6 ]ISNI 0000 0001 2156 2780, GRID grid.5801.c, Functional Genomics Center, , Swiss Federal Institute of Technology Zurich/University of Zurich, ; Zurich, Switzerland
                [7 ]ISNI 0000 0004 0509 0981, GRID grid.412347.7, , University Children’s Hospital (UKBB), ; Basel, Switzerland
                [8 ]Department of Infectious Diseases, University Hospital, Bern, Switzerland
                Author information
                http://orcid.org/0000-0002-2418-6474
                Article
                302
                10.1186/s40168-017-0302-6
                5525364
                28738889
                49f62b13-a46f-4026-b294-fffde55b5ace
                © The Author(s). 2017

                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
                : 11 January 2017
                : 6 July 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: 1209932473B_124654
                Award ID: 324730_144280
                Award ID: 320030_159791
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                pneumococcal conjugate vaccine,pneumococcal carriage,nasal microbiota,oligotyping,healthy infants,prospective cohort study

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