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. 2024 Mar 6;14:1352202. doi: 10.3389/fcimb.2024.1352202

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Copyright © 2024 Rizzello, Viciani, Gionchetti, Filippone, Imbesi, Melotti, Dussias, Salice, Santacroce, Padella, Velichevskaya, Marcante and Castagnetti

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A) Principal Coordinate Analysis (PCoA) on unweighted and weighted UniFrac distance metric calculated on COVID-19 patients (n = 24, blue dots) and healthy controls (n = 201, red dots). Each sample is represented by a dot. Axis 1 explained 11.7% and 21.2% of the variation observed, while Axis 2 explained 7.8% and 12.8% of the variation, in the left and right graph, respectively; PERMANOVA on weighted and unweighted UniFrac Pr(> F) = 0.001, beta-dispersion = 0.001. (B) Addition of the sex distinction layer to the same graphical display; PERMANOVA on weighted UniFrac Pr(> F) = 0.012, beta-dispersion = n.s.