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. 2023 Jan 4;51(1):27. doi: 10.1007/s00240-022-01403-5

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© The Author(s) 2023

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Microbiome analysis by sample type Alpha diversity calculated by Chao, observed and Shannon Index (A), Venn diagram of mutual and distinct genera per sample type (B). PCoA revealed significant difference between kidney stones and urine (p-value = 0.001***; C) but a close relation between individual pairs (D), highlighting the similarities of bacterial populations in stones (S) and respective urine (U). Patients with > 500 reads in stone material displayed a prolonged post-operative stay compared to patients with < 500 reads per stone (2.9 vs 1.5 days, p = 0.021*, E)