The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome.

The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine learning model for using the microbiome to predict specific symptoms. Our processed data covered 585 bacterial species and 500 microbial pathways, explaining 12.7% of the inter-individual variability in PACS. Three gut-microbiome-based enterotypes were identified in subjects with PACS and associated with different phenotypic manifestations. The trained model showed an accuracy of 0.89 in predicting individual symptoms of PACS in the test set and maintained a sensitivity of 86% and a specificity of 82% in predicting upcoming symptoms in an independent longitudinal cohort of subjects before they developed PACS. This study demonstrates that the gut microbiome is associated with phenotypic manifestations of PACS, which has potential clinical utility for the prediction and diagnosis of PACS.

COVID-19 Outcomes Among Racial and Ethnic Minority Individuals With Inflammatory Bowel Disease in the United States.

The coronavirus disease 2019 (COVID-19) has affected more than 29 million people and led to more than 542,000 deaths in the United States.1 Older age, comorbidities, and racial and ethnic minority status are associated with severe COVID-19.2 Among patients with inflammatory bowel disease (IBD), racial and ethnic minorities have worse outcomes, mediated in part by inequitable health care access.3 Racial and ethnic minority patients with IBD and COVID-19 may be an especially vulnerable population. The purpose of this study was to evaluate racial and ethnic disparities in COVID-19 outcomes among IBD patients and the impact of non-IBD comorbidities on observed disparities.