| Summary: | 碩士 === 國立臺北科技大學 === 製造科技研究所 === 102 === Part 1 Combining Ultrasound and Probiotics Treatment for High Fat Diet Induced Obesity Mice
Chronic systemic inflammation, caused by lipopolysaccharide (LPS), can induce obesity. In animal experiments, Lactobacillus can inhibit obesity which modifies gut microbiota, controls inflammation and affects the associated gene expression. In previous study in the literature, high fat diet (HFD)-induced obesity was suppressed by Lactobacillus ingestion in rats due to the inhibition of the parasympathetic nerve activity. The present study evaluated the combined use of Lactobacillus and ultrasound (US) to control body weight and body fat deposition in HFD mice over an 8-week experimental period. C57BL male mice were received HFD during treatment and randomly divided into four groups: (1) control group (H); (2) Lactobacillus alone (HB); (3) US alone (HU); (4) Lactobacillus combines with US (HUB). The changes of body weight were measured and the changes of total body fat volume were derived from in vivo microCT. Serum and histopathology were performed to clarify the effects of the combination treatment. At the 8th week, body weight was decreased significantly in the HUB (15.56±1.18%) group compared to the HU (26.63±0.96%) and H (32.62±5.03%) groups (p<0.05). The total body fat volume from microCT scan shows that the reductions in HUB group (69%) is more significant than other groups (HB: 52%, HU: 37%) (p<0.05). Instead of the epididymal fat pad, the reductions of subcutaneous fat were significant in the HUB (340 μm) than in the H (1150 μm), HB (1060 μm) and H (370 μm) groups (all p<0.05). Combination therapy with Lactobacillus and US can enhance the reduction of body weight, whole and local body fat deposition, adipocyte size and plasma lipid levels in HFD mice for 8 weeks experiments.
Part 2 Assessment of Whole Body Fat Composition in Mice using 3D Local Fat Pad Ultrasound Imaging
In this study, the whole body fat distribution was evaluated by high frequency ultrasound(US)imaging in animal experiments. An automatic, 3D fat detection method in US images were evaluated by MATLAB software. The property of the method is non-invasive, short measuring time and high accuracy. The measurement items include the measurement of fat pad volume, thickness, and 3D image reconstruction in phantom and mice. After capturing images by US imaging, the morphological filter was used to make original images into the binary images, and then calculate the quantitative results with pattern matching method to complete the measurement. Before the animal testing in progress, the graphite phantom approach to the experiment simulated was used to evaluate the efficiency of the imaging process method. The deviation of the experimental results between this method and actual value was about -0.4%. The method is possible to achieve rapid data processing for body fat distribution.
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