sample sizes and a high resolution of clinical phenotypes and medication are required, while accounting for variables known to affect the gut microbiome. Finally, drug effects are often dose-dependent, yet dosage is rarely considered in microbiome studies.To overcome these limitations, we propose a general framework for separating disease from treatment associations in multi-omics cross-sectional studies and apply it to gut metagenomic, host clinical and metabolomic measurements of 2,173 European residents from the multicentre MetaCardis cohort. The MetaCardis cohort includes patients with metabolic syndrome, severe and morbid obesity, T2D, acute and chronic coronary artery disease and heart failure, and healthy control individuals. Considering cardiometabolic disease (CMD) and herein frequently prescribed medications, we investigated drug-hostmicrobiome associations for eight major indications (antidiabetic,

SG seems effective and safe in obese HIV patients. However, ART treatment should be monitored post-SG to control HIV infection. We suggest that some ART should be adapted before SG conjoints with infectious disease specialists.

A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20412-9.