Cholecystectomy, surgical removal of the gallbladder, changes bile flow to the intestine and can therefore alter the bidirectional interactions between bile acids (BAs) and the intestinal microbiota. We quantified and correlated BAs and bacterial community composition in gallstone patients scheduled for cholecystectomy before and after the procedure, using gas-liquid chromatography and 16S rRNA amplicon sequencing, followed by quantitative real-time polymerase chain reaction of the phylum Bacteroidetes. Gallstone patients had higher overall concentrations of faecal BAs and a decreased microbial diversity, accompanied by a reduction in the beneficial genus Roseburia and an enrichment of the uncultivated genus Oscillospira, compared with controls. These two genera may thus serve as biomarkers for symptomatic gallstone formation. Oscillospira was correlated positively with secondary BAs and negatively with primary BAs, while the phylum Bacteroidetes showed an opposite trend. Cholecystectomy resulted in no substantial change in patients' faecal BAs. However, bacterial composition was significantly altered, with a significant increase in the phylum Bacteroidetes. Given that cholecystectomy has been associated with a higher risk of colorectal cancer and that members of the Bacteroidetes are increased in that disease, microbial consequences of cholecystectomy should be further explored.
SARS-CoV-2 is an RNA virus, a member of the coronavirus family of respiratory viruses that includes SARS-CoV-1 and MERS. COVID-19, the clinical syndrome caused by SARS-CoV-2, has evolved into a global pandemic with more than 2,900,000 people infected. It has had an acute and dramatic impact on health care systems, economies, and societies of affected countries within these few months. Widespread testing and tracing efforts are employed in many countries in order to contain and mitigate this pandemic. Recent data has indicated that fecal shedding of SARS-CoV-2 is common, and that the virus can be detected in wastewater. This indicates that wastewater monitoring is a potentially efficient tool for epidemiological surveillance of SARS-CoV-2 infection in large populations at relevant scales. Collecting raw sewage data, representing specific districts, and crosslinking this data with the number of infected people from each location, will enable us to derive and provide quantitative surveillance tools. In particular, this will provide important means to (i) estimate the extent of outbreaks and their spatial distributions, based primarily on in-sewer measurements (ii) manage the early-warning system quantitatively and efficiently (and similarly, verify disease elimination). Here we report the development of a virus concentration method using PEG or alum, providing an important a tool for detection of SARS-CoV-2 RNA in sewage and relating it to the local populations and geographic information. This will provide a proof of concept for the use of sewage associated virus data as a reliable epidemiological tool.
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