A high-throughput assay for quantifying appetite and digestive dynamics.

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.

Simultaneous assessment of gastric emptying and secretion in rats by a novel computed tomography-based method.

Gastric emptying and gastric secretion are two major physiological functions of the stomach. The assessment of these functions in particular in small animals is challenging; no method currently available allows the simultaneous measurement of both functions, and methods used are lethal or invasive and often limited by spatial, temporal, or quantitative resolution. Here, we report the establishment and validation of a quantitative noninvasive high-throughput computed tomography-based method to measure simultaneously gastric emptying and secretion in rats in vivo. The imaging strategy enables one to visualize stomach anatomy and to quantify stomach volume and stomach contrast agent content. The method was validated by comparing the results to classical lethal methods (stomach phenol red content and stomach wet weight). Additionally, we showed that the use of a mild anesthetic does not interfere with normal gastric function, thereby enabling high-resolution temporal studies within single animals. These combined advantages were applied to reevaluate the impact of cholecystokinin (CCK), histamine, and oral glucose solutions on gastric function with high temporal resolution. CCK inhibited gastric emptying completely for 20 min, leading to the accumulation of gastric juice in the stomach. The CCK antagonist devazepide blocked this effect. Histamine stimulated both gastric secretion and delayed emptying. Oral glucose solution emptied at a fixed rate of 24-31 cal/min and stimulated gastric secretion. These results confirm previous observations and add volumetric changes as a new dimension. As computed tomography scanners become broadly available, this method is an excellent approach to measure the combined gastric functional readout and to reduce the number of animals used.

Novel antidiabetic nutrients identified by in vivo screening for gastric secretion and emptying regulation in rats.

Diabetes mellitus is a disease characterized by elevated blood glucose levels and represents a worldwide health issue. Postprandial hyperglycemia is considered a major predictor of diabetic complications, and its reduction represents a specific treatment target in Type 1 and 2 diabetes. Since postprandial glucose excursions depend to a large extent on gastric secretion and emptying, amylin and glucagon-like peptide 1 analogs are prescribed to reduce them. Although gastric function is considered mainly sensitive to ingested calories, its chemospecificity is not well understood. To identify ingestible nutrients reducing postprandial hyperglycemia, we applied intragastrically more than 40 individual nutrients at an isomolar dose to rats and quantified their impact on gastric secretion and emptying using a novel in vivo computed tomography imaging method. We identified l-tryptophan, l-arginine, l-cysteine, and l-lysine as the most potent modulators with effective strength comparable to a supraphysiological dose of amylin. Importantly, all identified candidates reduced postprandial glucose excursion within an oral glucose tolerance test in healthy and diabetic rats. This clinical beneficial effect originated predominantly from their impact on gastric function, as none of the candidates altered plasma glucose concentrations induced by intraperitoneal or intraduodenal glucose tolerance tests. Overall, these data demonstrate a remarkable chemospecificity of stomach function, unveil a strong role of the stomach for glycemic control and identifies nutrients with antidiabetic potential.

Specific amino acids inhibit food intake via the area postrema or vagal afferents.

To maintain nutrient homeostasis the central nervous system integrates signals that promote or inhibit eating. The supply of vital amino acids is tuned by adjusting food intake according to its dietary protein content. We hypothesized that this effect is based on the sensing of individual amino acids as a signal to control food intake. Here, we show that food intake was most potently reduced by oral L-arginine (Arg), L-lysine (Lys) and L-glutamic acid (Glu) compared to all other 17 proteogenic amino acids in rats. These three amino acids induced neuronal activity in the area postrema and the nucleus of the solitary tract. Surgical lesion of the area postrema abolished the anorectic response to Arg and Glu, whereas vagal afferent lesion prevented the response to Lys. These three amino acids also provoked gastric distension by differentially altering gastric secretion and/or emptying. Importantly, these peripheral mechanical vagal stimuli were dissociated from the amino acids' effect on food intake. Thus, Arg, Lys and Glu had a selective impact on food processing and intake suggesting them as direct sensory input to assess dietary protein content and quality in vivo. Overall, this study reveals novel amino acid-specific mechanisms for the control of food intake and of gastrointestinal function.

Synthetic Biology Category Wins the 350th Anniversary Merck Innovation Cup.

Over the past 350 years, Merck has developed science and technology especially in health care, life sciences, and performance materials. To celebrate so many productive years, Merck conducted a special expanded anniversary edition of the Innovation Cup in combination with the scientific conference Curious2018 - Future Insight in Darmstadt, Germany.

Elements of a stochastic 3D prediction engine in larval zebrafish prey capture.

The computational principles underlying predictive capabilities in animals are poorly understood. Here, we wondered whether predictive models mediating prey capture could be reduced to a simple set of sensorimotor rules performed by a primitive organism. For this task, we chose the larval zebrafish, a tractable vertebrate that pursues and captures swimming microbes. Using a novel naturalistic 3D setup, we show that the zebrafish combines position and velocity perception to construct a future positional estimate of its prey, indicating an ability to project trajectories forward in time. Importantly, the stochasticity in the fish's sensorimotor transformations provides a considerable advantage over equivalent noise-free strategies. This surprising result coalesces with recent findings that illustrate the benefits of biological stochasticity to adaptive behavior. In sum, our study reveals that zebrafish are equipped with a recursive prey capture algorithm, built up from simple stochastic rules, that embodies an implicit predictive model of the world.

High-throughput screening for selective appetite modulators: A multibehavioral and translational drug discovery strategy.

How appetite is modulated by physiological, contextual, or pharmacological influence is still unclear. Specifically, the discovery of appetite modulators is compromised by the abundance of side effects that usually limit in vivo drug action. We set out to identify neuroactive drugs that trigger only their intended single behavioral change, which would provide great therapeutic advantages. To identify these ideal bioactive small molecules, we quantified the impact of more than 10,000 compounds on an extended series of different larval zebrafish behaviors using an in vivo imaging strategy. Known appetite-modulating drugs altered feeding and a pleiotropy of behaviors. Using this multibehavioral strategy as an active filter for behavioral side effects, we identified previously unidentified compounds that selectively increased or reduced food intake by more than 50%. The general applicability of this strategy is shown by validation in mice. Mechanistically, most candidate compounds were independent of the main neurotransmitter systems. In addition, we identified compounds with multibehavioral impact, and correlational comparison of these profiles with those of known drugs allowed for the prediction of their mechanism of action. Our results illustrate an unbiased and translational drug discovery strategy for ideal psychoactive compounds and identified selective appetite modulators in two vertebrate species.