pone.0290062.s004.docx (13.03 kB)
Correlogram of patient metadata and LRTI types showing relationships between variables.
journal contribution
posted on 2024-01-11, 18:26 authored by Matthew B. Rogers, Ashley Harner, Megan Buhay, Brian Firek, Barbara Methé, Alison Morris, Octavia M. Peck Palmer, Susan B. Promes, Robert L. Sherwin, Lauren Southerland, Alexandre R. Vieira, Sachin Yende, Michael J. Morowitz, David T. HuangSize of circles indicate strength of correlation by R2 value. Shading of circle also indicates strength of correlation by R2 value, blue shading indicates correlation, red shading indicates inverse correlation. Variables are clustered by R2 value using hclust. Only associations with a p-value < 0.05 (Pearson metric) are shown.
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human microbiome contributesanalyzing bacterial 16may provide insighthealthy adult volunteersdiv >< pacute lrti presentinghealthy volunteers ).microbiota variation withinhealthy volunteersmay 2017lrti ).salivary microbiotaoral microbiotagut microbiotaunderstudied relativethree statesstrongly enrichedseven hospitalssalivary samplesruminococcaceae relative abundancenovember 2018lrti populationlrti conditionslargest determinantlachnospiraceae intestinal anaerobeshighly distinctfecal samplesemergency departmenteasily accessibleday 30copd exacerbationclinical featuresbacteroides bacteroidaceae 147 adults
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