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with dysbiosis index as keyword
Squire, Nathan Lux, Cassie Tolbert, Katie Lidbury, Jonathan Sun, Xiaocun Suchodolski, Jan S.
Published in
Frontiers in Veterinary Science
Background The GI microbiome has not been characterized in dogs being medically managed for congenital portosystemic shunts (CPSS). Objectives To characterize the fecal microbiome in a population of dogs being medically managed for CPSS. Animals 27 client-owned dogs. Methods Prospective cohort study enrollment of fecal samples was performed with fo...
Zhao, Xingqi Tang, Wenli Wan, Haoyang Lan, Zixin Qin, Hanjun Lin, Qingrong Hu, Yanjun Yu, Guangchuang Jiang, Nan Yu, Bin
...
Published in
Frontiers in Microbiology
Preoperative diagnosis of fracture-related infection (FRI) is difficult for patients without obvious signs of infection. However, specific profiles of gut microbiota may be used as a potential diagnostic tool for FRI as suggested by a previous study. The fecal microbiome was compared between 20 FRI patients (FRI group), 18 fracture healed patients ...
Wei, Shaodong Bahl, Martin Iain Baunwall, Simon Mark Dahl Hvas, Christian Lodberg Licht, Tine Rask
Published in
Applied and Environmental Microbiology
Assessing “dysbiosis” in intestinal microbial communities is increasingly considered a routine analysis in microbiota studies, and it has added relevant information to the prediction and characterization of diseases and other adverse conditions. However, dysbiosis is not a well-defined condition. A variety of different dysbiosis indexes have been s...
Shalev, Yuval Ben-Gal, Irad
Published in
Entropy (Basel, Switzerland)
We propose a new algorithm called the context-based predictive information (CBPI) for estimating the predictive information (PI) between time series, by utilizing a lossy compression algorithm. The advantage of this approach over existing methods resides in the case of sparse predictive information (SPI) conditions, where the ratio between the numb...
