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A high-throughput assay for quantifying appetite and digestive dynamics

机译:用于量化食欲和消化动态的高通量测定

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摘要

Food intake and digestion are vital functions, and their dysregulation is fundamental for many human diseases. Current methods do not support their dynamic quantification on large scales in unrestrained vertebrates. Here, we combine an infrared macroscope with fluorescently labeled food to quantify feeding behavior and intestinal nutrient metabolism with high temporal resolution, sensitivity, and throughput in naturally behaving zebrafish larvae. Using this method and rate-based modeling, we demonstrate that zebrafish larvae match nutrient intake to their bodily demand and that larvae adjust their digestion rate, according to the ingested meal size. Such adaptive feedback mechanisms make this model system amenable to identify potential chemical modulators. As proof of concept, we demonstrate that nicotine, L-lysine, ghrelin, and insulin have analogous impact on food intake as in mammals. Consequently, the method presented here will promote large-scale translational research of food intake and digestive function in a naturally behaving vertebrate.
机译:食物摄入和消化是重要的功能,他们的失调是许多人类疾病的基础。目前的方法不支持无限制的脊椎动物中的大鳞片动态量化。在这里,我们将红外癌症与荧光标记的食物结合在一起,以含有高颞叶,敏感性和产量的饲喂行为和肠营养代谢。使用这种方法和基于速率的建模,我们证明斑马鱼幼虫根据摄入的膳食尺寸根据摄入的膳食尺寸匹配营养物质,幼虫调整它们的消化率。这种自适应反馈机制使得该模型系统适用于识别潜在的化学调制器。作为概念的证明,我们证明尼古丁,L-赖氨酸,Ghrelin和胰岛素对哺乳动物的食物摄入具有类似的影响。因此,本文呈现的方法将促进对食物摄入和消化功能的大规模翻译研究在天然行为脊椎动物中。

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