Publications by authors named "Chloe Herman"

Fecal Microbiota Transplant (FMT) is an FDA approved treatment for recurrent infections, and is being explored for other clinical applications, from alleviating digestive and neurological disorders, to priming the microbiome for cancer treatment, and restoring microbiomes impacted by cancer treatment. Quantifying the extent of engraftment following an FMT is important in determining if a recipient didn't respond because the engrafted microbiome didn't produce the desired outcomes (a successful FMT, but negative treatment outcome), or the microbiome didn't engraft (an unsuccessful FMT and negative treatment outcome). The lack of a consistent methodology for quantifying FMT engraftment extent hinders the assessment of FMT success and its relation to clinical outcomes, and presents challenges for comparing FMT results and protocols across studies.

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Study reproducibility is essential to corroborate, build on, and learn from the results of scientific research but is notoriously challenging in bioinformatics, which often involves large data sets and complex analytic workflows involving many different tools. Additionally, many biologists are not trained in how to effectively record their bioinformatics analysis steps to ensure reproducibility, so critical information is often missing. Software tools used in bioinformatics can automate provenance tracking of the results they generate, removing most barriers to bioinformatics reproducibility.

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Article Synopsis
  • OFS (oligofructose) supplementation in rats on a high-fat diet reduces food intake and body weight by enhancing small intestinal lipid sensing.
  • The treatment leads to increased expression of CD36, higher GLP-1 levels, and activation of hindbrain neurons related to satiation after lipid infusion.
  • Changes in the gut microbiota, particularly an increase in Bifidobacterium, play a crucial role in mediating these effects on energy homeostasis and food intake regulation.
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  • The study investigates the gut microbiota-brain axis in female 3xTg-AD mice, a model for Alzheimer's disease, by analyzing fecal samples and gene expression in the colon and hippocampus over a 52-week period.
  • Researchers found distinct gut microbiota differences between 3xTg-AD mice and wild-type controls early in life, with specific immune markers elevated in both the colon and hippocampus indicating neuroinflammation.
  • The study highlights that changes in gut bacteria composition can predict the development of Alzheimer's disease pathologies, marking it as the first comprehensive analysis over an extended time frame.
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  • In October 2020, a team hosted their first online workshop teaching how to use a microbiome research tool called QIIME 2, with 75 participants from 25 countries.
  • The workshop lasted 5 days and used a special online setup that allowed everyone to work together, and many instructors helped out.
  • After receiving feedback, they organized a second workshop in January 2021, made improvements based on suggestions, and planned to share what they learned for future events.
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