Variations in the Microbiome Associated with Health, Disease
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Variations in the Microbiome Associated with Health, Disease
ISB researchers examined the associations between the gut microbiomes of about 3,400 people and roughly 150 host characteristics. The team looked at diet, medication use, clinical blood markers, and other lifestyle and clinical factors, and found evidence that variations of the gut microbiome are associated with health and disease.
Answering Nature’s Call: How Scientists Are Mining Sewage To Track Population Health
Everybody pees and poops. What if there was a way to use the byproducts of our everyday bodily functions to understand the general health of a population? That is exactly what MIT’s Dr. Eric Alm is pursuing. In an ISB-Town Hall Seattle live stream, Alm discussed the promise of this novel form of public health tracking.
Harnessing our inner ecology to track and treat disease
ISB’s virtual course and symposium focusing on the microbiome and its future role in precision medicine will take place on October 15 and 16. The event’s website went live earlier this week. The virtual course will be taught by Sean Gibbons, Christian Diener, Tomasz Wilmanski, Noa Rappaport, Alex Carr, Priyanka Baloni and Nathan Price. Symposium speakers are Jason Papin (University of Virginia), Ines Thiele (National University of Ireland, Galway), Thomas…
It’s ‘Either/Or’ for Two Common Gut Microbiome Genera, and Switching Teams Is Tougher Than Expected
There is a dichotomy between Bacteroides- and Prevotella-dominated guts — two common gut bacterial genera — and there is a significant barrier when it comes to transitioning from one to the other.
New Modeling Tool Allows Microbiome Researchers to Map Community Ecology to Ecosystem Function
A promising new open-source metabolic modeling tool provides microbiome researchers a path forward in predicting ecosystem function from community structure. News of the software package, called MICOM, was developed in part by researchers in ISB’s Gibbons Lab, and its uses were published in the journal mSystems.
Using Blood to Predict Gut Microbiome Diversity
Predicting the alpha diversity of an individual’s gut microbiome is possible by examining metabolites in the blood. The robust relationship between host metabolome and gut microbiome diversity opens the door for a fast, cheap and reliable blood test to identify individuals with low gut diversity.
ISB Microbiome Researcher Dr. Sean Gibbons Featured in TIME Article
Freaked out about a “germy” bathroom? You don’t need to be. ISB Assistant Professor and microbiome researcher Dr. Sean Gibbons was featured prominently in an article, headlined “The Germiest Place in your Bathroom Isn’t Your Toilet,” published online by TIME.
All About the Human Microbiome
The human microbiome is a relatively new area of research, and there are numerous questions surrounding it. What is the human microbiome? Can we change it? Does it make us sick? Keep us well? ISB Assistant Professor and microbiome researcher Dr. Sean Gibbons answers these questions — and many more.
ISB's Dr. Sean Gibbons on the importance of the human microbiome
“This new organ that we’re coming to recognize as the microbiome is part and parcel to the functionality of the whole system, and if it breaks down, if it starts to fall apart, we start to get sick,” said Dr. Sean Gibbons, ISB’s newest faculty member, in a WGBH Forum Network presentation.
Dr. Sean Gibbons joins ISB faculty as WRF Distinguished Investigator
Dr. Sean Gibbons has joined ISB as our newest faculty member. Gibbons’ new position brings a number of changes, including relocating to the Pacific Northwest from the Northeast. Read on for a Q&A with Gibbons that sheds light on his research career to date, areas of study and even a hidden talent.
Correcting Batch Effects in Microbiome Data
Batch Effects in 16S Datasets Complicate Cross-Study Comparisons High-throughput data generation platforms, like mass-spectrometry, microarrays, and second-generation sequencing are susceptible to batch effects due to run-to-run variation in reagents, equipment, protocols, or personnel. Currently, batch correction methods are not commonly applied to microbiome sequencing datasets. In this paper, we compare different batch-correction methods applied to microbiome case-control studies. We introduce a model-free normalization procedure where features (i.e. bacterial taxa) in…