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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Inside the Gut: A Microfluidic Platform for C. difficile Research

Authors: Sadovska, Lilite; Narbute, Karīna;

Inside the Gut: A Microfluidic Platform for C. difficile Research

Abstract

Given the increasing development of morbidity and mortality in Clostridium difficile infection (CDI), global antibiotic resistance problems and limited alternatives to CDI prevention, it is important to identify the causes of the CDI and find new avenues to fight this infection. Unfortunately, the most common platform used in CDI research are animal models, while available in vitro models fail to ensure the viability of gut microbiota. Therefore, new in vitro model is needed for CDI testing in the gut-on-chip (GoC) model in the presence of full microbiota, as this, compared to classic animal models, provides better process control, human cell use, improved microbiota environmental simulation, reduced animal use and the ability to maintain complex and stable microbial colonies, making them a valuable tool for understanding CDI manifestation causes and developing new treatments. The aim of this project is to create a GoC microfluidic model in coculture with full gut microbiota to test the development of CDI by performing the following tasks: Create a GOC model using mucus-producing cells to model intestinal epithelium, isolate and characterize microbiota samples, and evaluate CDI effects in the GOC and microbiota model before and after antibiotic treatment is initiated. The expected results include an understanding of the role of gut microbiota composition in CDI manifestation and a functional in vitro model for further CDI research and development of therapeutic solutions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average