Background : Human microbiome research is interdisciplinary, making concise organizing and reporting of results across the different styles of epidemiology, biology, bioinformatics, and statistics a challenge. Commonly used reporting guidelines for observational or genetic studies lack key aspects specific to microbiome studies. Methods : A multidisciplinary group of microbiome researchers reviewed elements of available reporting guidelines for observational and genetic studies, and adapted these for application to human microbiome studies. New reporting elements were developed for laboratory, bioinformatic, and statistical analysis specific to microbiome studies, and other parts of these checklists were streamlined to keep reporting manageable. Results : STORMS is a 18-item checklist for reporting on human microbiome studies, organized into six sections covering all sections of a scientific publication, presented as a table with space for author-provided details and intended for inclusion in supplementary materials. Conclusions : STORMS provides guidance for authors and standardization for interdisciplinary microbiome studies, facilitating complete and concise reporting.Availability : STORMS is downloadable as a versioned spreadsheet from storms.waldronlab.io .
AbstractAlong with commonly included abstract materials such as a basic description of the participants and results, authors should report the study design(11)--such as case-control, cohort, or randomized control trial--in the abstract of their article (Item 1.0), as required by other reporting guidelines. Communicating study design in the abstract allows readers to quickly categorize the type of evidence provided. Abstract 1.0 Study Design Study design is stated in the abstract. STORMSExamples: case-control (participants with condition of interest are matched to controls), cross-sectional (data collected at one time point, no matching done between cases and controls), randomized controlled trial (condition is randomly assigned to participants), time series (participants are followed over time to observe changes), cohort (participants are followed over time to see who develops the condition of interest and who does not). For more information about common study designs see: https: //doi.
Some Eastern Mediterranean countries lack a family medicine model and training programme, while others need upscaling. Primary care should be proactive, moving away from disease-based and towards a comprehensive healthfor-all model, through integrated and continuous service delivery. Policymakers should commit the resources needed for family medicine.
The literature of human and other host-associated microbiome studies is expanding rapidly, but systematic comparisons among published results of host-associated microbiome signatures of differential abundance remain difficult. We present BugSigDB, a community-editable database of manually curated microbial signatures from published differential abundance studies, accompanied by information on study geography, health outcomes, host body site, and experimental, epidemiological, and statistical methods using controlled vocabulary. BugSigDB is seeded for initial release with >2,500 manually curated signatures from >600 published studies on three host species, enabling high-throughput analysis of signature similarity, taxon enrichment, co-occurrence and co-exclusion, and consensus signatures, allowing assessment of microbiome differential abundance within and across experimental conditions, environments, or body sites. Database-wide analysis revealed experimental conditions with the highest level of consistency in signatures reported by independent studies and identified commonalities among disease-associated signatures including frequent introgression of oral pathobionts into the gut.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.