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. 2020 Jul 22;24:452. doi: 10.1186/s13054-020-03141-9

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© The Author(s) 2020

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/. 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 in a credit line to the data.

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Fig. 2 — Associations between sACE2 and biomarkers of metabolic syndrome, inflammation, and liver damage. a Marginal Effect size (B) estimates from robust linear regressions predicting sACE2 from biomarkers estimated for men and women separately. Biomarkers for which a significant interaction with sex was established are marked with an asterisk. b Partial Spearman correlations between study biomarkers and sACE2 levels. c Scatterplot of associations between GGT and sACE2. BMI, body mass index; MAP, mean arterial blood pressure; HbA1c, glycohemoglobin A1c; HOMA-IR, homeostatic model assessment of insulin resistance; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; IL-8, interleukin 8; hsCRP, high-sensitivity C-reactive protein; ALAT, alanine aminotransferase; ASAT, aspartate transaminase; GGT, gamma-glutamyl-transferase