The biosynthesis of polyhydroxyalkanoate (PHA) biopolymers from certain marine microbes, associated with green macroalgae Ulva sp., has attracted significant attention. The Ulva sp. is abundant biomass in numerous locations around the world and could be easily cultivated by marine farming. The variety of sugars found in Ulva sp. homogenate could be used as a carbon source for microbial growth and PHA production. In this work, we isolated and explored a series of bacterial strains that function as potential producers of P(3HB), utilizing a range of common sugars found in Ulva sp. Analysis of 16S rDNA gene-sequence revealed that the PHA-producing bacteria were phylogenetically related to species of the genus Cobetia, Bacillus, Pseudoaltermonas, and Sulfitobacter. The highest-yield of P(3HB) was observed in the case of new Cobetia strain, C. amphilecti, with up to 61% (w/w) in the presence of mannitol and 12% (w/w) on Ulva sp. acid hydrolysate as a substrate.
Non-alcoholic fatty liver disease (NAFLD) comprises a spectrum of progressive liver pathologies, ranging from simple steatosis to non-alcoholic steatohepatitis (NASH), fibrosis and cirrhosis. A liver biopsy is currently required to stratify high-risk patients, and predicting the degree of liver inflammation and fibrosis using non-invasive tests remains challenging. Here, we sought to develop a novel, cost-effective screening tool for NAFLD based on thermal imaging. We used a commercially available and non-invasive thermal camera and developed a new image processing algorithm to automatically predict disease status in a small animal model of fatty liver disease. To induce liver steatosis and inflammation, we fed C57/black female mice (8 weeks old) a methionine-choline deficient diet (MCD diet) for 6 weeks. We evaluated structural and functional liver changes by serial ultrasound studies, histopathological analysis, blood tests for liver enzymes and lipids, and measured liver inflammatory cell infiltration by flow cytometry. We developed an image processing algorithm that measures relative spatial thermal variation across the skin covering the liver. Thermal parameters including temperature variance, homogeneity levels and other textural features were fed as input to a t-SNE dimensionality reduction algorithm followed by k-means clustering. During weeks 3,4, and 5 of the experiment, our algorithm demonstrated a 100% detection rate and classified all mice correctly according to their disease status. Direct thermal imaging of the liver confirmed the presence of changes in surface thermography in diseased livers. We conclude that non-invasive thermal imaging combined with advanced image processing and machine learning-based analysis successfully correlates surface thermography with liver steatosis and inflammation in mice. Future development of this screening tool may improve our ability to study, diagnose and treat liver disease.
The biosynthesis of polyhydroxyalkanoate (PHA) biopolymers from certain marine microbes, associated with green macroalgae Ulva sp., has attracted significant attention. The Ulva sp. is abundant biomass in numerous locations around the world and could be easily cultivated by marine farming. The variety of sugars found in Ulva sp. homogenate could be used as a carbon source for microbial growth and PHA production. In this work, we isolated and explored a series of bacterial strains that function as potential producers of P(3HB), utilizing a range of common sugars found in Ulva sp. Analysis of 16S rDNA gene-sequence revealed that the PHA-producing bacteria were phylogenetically related to species of the genus Cobetia, Bacillus, Pseudoaltermonas, and Sulfito-bacter. The highest-yield of P(3HB) was observed in the case of new Cobetia strain, C. amphilecti, with up to 61% (w/w) in the presence of mannitol and 12% (w/w) on Ulva sp. acid hydrolysate as a substrate.
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