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. 2023 Feb 7;11(2):422. doi: 10.3390/microorganisms11020422

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Principal components analysis (PCA) biplot showing the significant effects of age on the clustering of (A) all analyzed samples; (B) samples collected from chronic rhinosinusitis (CRS) patients in the Johns Hopkins All Children’s Hospital (JHACH) cohort; (C) samples collected from CRS patients in the University of Pittsburgh Medical Center (UPMC) cohort; and (D) samples collected from healthy controls in the UPMC cohort. Each point in the PCA biplot represents a sample. The percentages on each axis represent the relative contribution (eigenvalue) of each axis to the total inertia (variation) in the dataset. * denotes a p-value of ≤0.05 and *** denotes a p-value of ≤0.001.