Large intestinal nutritional and physicochemical parameters from different dog sizes reshape canine microbiota structure and functions in vitro.

Different dog sizes are associated with variations in large intestinal physiology including gut microbiota, which plays a key role in animal health. This study aims to evaluate, using the CANIM-ARCOL (Canine Mucosal Artificial Colon), the relative importance of gut microbes versus physicochemical and nutritional parameters of the canine colonic environment in shaping microbiota structure and functions. CANIM-ARCOL was set up to reproduce nutrient availability, bile acid profiles, colonic pH, and transit time from small, medium, or large dogs according to in vivo data, while bioreactors were all inoculated with a fecal sample collected from medium size dogs (n = 2). Applying different dog size parameters resulted in a positive association between size and gas or SCFA production, as well as distinct microbiota profiles as revealed by 16S Metabarcoding. Comparisons with in vivo data from canine stools and previous in vitro results obtained when CANIM-ARCOL was inoculated with fecal samples from three dog sizes revealed that environmental colonic parameters were sufficient to drive microbiota functions. However, size-related fecal microbes were necessary to accurately reproduce in vitro the colonic ecosystem of small, medium, and large dogs. For the first time, this study provides mechanistic insights on which parameters from colonic ecosystem mainly drive canine microbiota in relation to dog size. The CANIM-ARCOL can be used as a relevant in vitro platform to unravel interactions between food or pharma compounds and canine colonic microbiota, under different dog size conditions. The potential of the model will be extended soon to diseased situations (e.g. chronic enteropathies or obesity).

Environmental colonic parameters (such as nutrient availability, transit time, or pH) were sufficient to drive microbiota at the functional level in the CANIM-ARCOL in vitro gut model.Size-related fecal microbes were necessary to accurately reproduce the colonic environment of small, medium, and large dogs.CANIM-ARCOL model can be used as a relevant in vitro tool to decipher the relative importance of microbiota versus environmental colonic parameters in food and pharma studies.

Development of a new antibiotic-induced dysbiosis model of the canine colonic microbiota.

As in humans, antibiotics are widely used in dogs to treat gastrointestinal infections, contributing to the global burden of antimicrobial resistance on both human and animal health. Close contact between pets and their owners can lead to horizontal transfer of gut microbes, including transmission of antibiotic resistance. Nevertheless, until now, the impact of antibiotics on the canine gut microbiota has been poorly described. The aim of this study was to adapt the canine mucosal artificial colon (CANIM-ARCOL) model, reproducing the main nutritional, physicochemical and microbial parameters found in the large intestine of the dog to simulate an antibiotic-induced perturbation. Following initial investigation of five antibiotic cocktails at in-field doses, a 5-day regimen of metronidazole/enrofloxacin (ME) was selected for further model development. Two CANIM-ARCOL bioreactors were inoculated with a faecal sample (n=2 donors) and run in parallel for 26 days under control or antibiotic conditions. ME reduced microbial diversity and induced major shifts in bacterial populations, leading to a state of dysbiosis characterized by an increase in the relative abundance of Streptococcaceae, Lactobacillaceae and Enterobacteriaceae, and a decrease in the relative abundance of Bacteroidaceae, Fusobacteriota and Clostridiaceae. Overall, mucus-associated microbiota were less impacted by antibiotics than luminal microbes. Microbial alterations were associated with drastic decreases in gas production and short-chain fatty acid concentrations. Finally, the model was well validated through in-vitro-in-vivo comparisons in a study in dogs. The CANIM-ARCOL model provides a relevant platform as an alternative to in-vivo assays for an in-depth understanding of antibiotic-microbiota interactions and further testing of restoration strategies at individual level.

Canine Mucosal Artificial Colon: development of a new colonic in vitro model adapted to dog sizes.

Differences in dog breed sizes are an important determinant of variations in digestive physiology, mainly related to the large intestine. In vitro gut models are increasingly used as alternatives to animal experiments for technical, cost, societal, and regulatory reasons. Up to now, only one in vitro model of the canine colon incorporates the dynamics of different canine gut regions, yet no adaptations exist to reproduce size-related digestive parameters. To address this limitation, we developed a new model of the canine colon, the CANIne Mucosal ARtificial COLon (CANIM-ARCOL), simulating main physiochemical (pH, transit time, anaerobiosis), nutritional (ileal effluent composition), and microbial (lumen and mucus-associated microbiota) parameters of this ecosystem and adapted to three dog sizes (i.e., small under 10 kg, medium 10-30 kg, and large over 30 kg). To validate the new model regarding microbiota composition and activities, in vitro fermentations were performed in bioreactors inoculated with stools from 13 dogs (4 small, 5 medium, and 4 large). After a stabilization period, microbiota profiles clearly clustered depending on dog size. Bacteroidota and Firmicutes abundances were positively correlated with dog size both in vitro and in vivo, while opposite trends were observed for Actinobacteria and Proteobacteria. As observed in vivo, microbial activity also increased with dog size in vitro, as evidenced from gas production, short-chain fatty acids, ammonia, and bile acid dehydroxylation. In line with the 3R regulation, CANIM-ARCOL could be a relevant platform to assess bilateral interactions between food and pharma compounds and gut microbiota, capturing inter-individual or breed variabilities. KEY POINTS: • CANIM-ARCOL integrates main canine physicochemical and microbial colonic parameters • Gut microbiota associated to different dog sizes is accurately maintained in vitro • The model can help to move toward personalized approach considering dog body weight.

In Vitro Modelling of Oral Microbial Invasion in the Human Colon.

Recent advances in the human microbiome characterization have revealed significant oral microbial detection in stools of dysbiotic patients. However, little is known about the potential interactions of these invasive oral microorganisms with commensal intestinal microbiota and the host. In this proof-of-concept study, we proposed a new model of oral-to-gut invasion by the combined use of an in vitro model simulating both the physicochemical and microbial (lumen- and mucus-associated microbes) parameters of the human colon (M-ARCOL), a salivary enrichment protocol, and whole-metagenome shotgun sequencing. Oral invasion of the intestinal microbiota was simulated by injection of enriched saliva in the in vitro colon model inoculated with a fecal sample from the same healthy adult donor. The mucosal compartment of M-ARCOL was able to retain the highest species richness levels over time, while species richness levels decreased in the luminal compartment. This study also showed that oral microorganisms preferably colonized the mucosal microenvironment, suggesting potential oral-to-intestinal mucosal competitions. This new model of oral-to-gut invasion can provide useful mechanistic insights into the role of oral microbiome in various disease processes. IMPORTANCE Here, we propose a new model of oral-to-gut invasion by the combined use of an in vitro model simulating both the physicochemical and microbial (lumen- and mucus-associated microbes) parameters of the human colon (M-ARCOL), a salivary enrichment protocol, and whole-metagenome shotgun sequencing. Our study revealed the importance of integrating the mucus compartment, which retained higher microbial richness during fermentation, showed the preference of oral microbial invaders for the mucosal resources, and indicated potential oral-to-intestinal mucosal competitions. It also underlined promising opportunities to further understand mechanisms of oral invasion into the human gut microbiome, define microbe-microbe and mucus-microbe interactions in a compartmentalized fashion, and help to better characterize the potential of oral microbial invasion and their persistence in the gut.

From Chihuahua to Saint-Bernard: how did digestion and microbiota evolve with dog sizes.

Health and well-being of dogs are of paramount importance to their owners. Digestion plays a key role in dog health, involving physicochemical, mechanical and microbial actors. However, decades of breeding selection led to various dog sizes associated with different digestive physiology and disease sensitivity. Developing new products requires the consideration of all the multi-faceted aspects of canine digestion, the evaluation of food digestibility, drug release and absorption in the gut. This review paper provides an exhaustive literature survey on canine digestive physiology, focusing on size effect on anatomy and digestive parameters, with graphical representation of data classified as "small", "medium" and "large" dogs. Despite the huge variability between protocols and animals, interesting size effects on gastrointestinal physiology were highlighted, mainly related to the colonic compartment. Colonic measurements, transit time permeability, fibre degradation, faecal short-chain fatty acid concentration and faecal water content increase while faecal bile acid concentration decreases with body size. A negative correlation between body weight and Proteobacteria relative abundance was observed suggesting an effect of dog body size on faecal microbiota. This paper gathers helpful in vivo data for academics and industrials and supports the development of new food and pharma products to move towards canine personalized nutrition and health.

In vitro models of the canine digestive tract as an alternative to in vivo assays: Advances and current challenges.

Dogs occupy a full place in the family, and their well-being is of paramount importance to their owners. Digestion, a complex process involving physicochemical, mechanical, and microbial parameters, plays a central role in maintaining canine health. As in vivo studies in dogs are increasingly restricted by ethical, regulatory, societal, and cost pressures, an alternative option is the use of in vitro models simulating the different compartments of the canine gastrointestinal tract. This review introduces digestion and gut microbiota as key factors in dog nutrition and health under both healthy and diseased conditions (obesity and inflammatory bowel disease) and highlights similarities and differences between the human and canine digestive tract and processes. We provide the first in-depth description of currently available models of the canine digestive tract, discuss technical and scientific challenges that need to be addressed, and introduce potential applications of in vitro gut models in the food and veterinary fields. Even if the development of some in vitro models is still limited by a lack of in vivo data in dogs that is necessary for relevant configuration and validation, translation of long-term expertise on human in vitro gut models to dogs opens avenues for model optimization and adaptation to specific canine digestive conditions associated with various dog ages, sizes, breeds and/or diets, in both physiological and diseased states.

Comparative methods for fecal sample storage to preserve gut microbial structure and function in an in vitro model of the human colon.

In vitro gut models, such as the mucosal artificial colon (M-ARCOL), provide timely and cost-efficient alternatives to in vivo assays allowing mechanistic studies to better understand the role of human microbiome in health and disease. Using such models inoculated with human fecal samples may require a critical step of stool storage. The effects of preservation methods on microbial structure and function in in vitro gut models have been poorly investigated. This study aimed to assess the impact of three commonly used preserving methods, compared with fresh fecal samples used as a control, on the kinetics of lumen and mucus-associated microbiota colonization in the M-ARCOL model. Feces from two healthy donors were frozen 48 h at - 80 °C with or without cryoprotectant (10% glycerol) or lyophilized with maltodextrin and trehalose prior to inoculation of four parallel bioreactors (e.g., fresh stool, raw stool stored at - 80 °C, stool stored at - 80 °C with glycerol and lyophilized stool). Microbiota composition and diversity (qPCR and 16S metabarcoding) as well as metabolic activity (gases and short chain fatty acids) were monitored throughout the fermentation process (9 days). All the preservative treatments allowed the maintaining inside the M-ARCOL of a complex and functional microbiota, but considering stabilization time of microbial profiles and activities (and not technical constraints associated with the supply of frozen material), our results highlighted 48 h freezing at - 80 °C without cryoprotectant as the most efficient method. These results will help scientists to determine the most accurate method for fecal storage prior to inoculation of in vitro gut microbiome models. KEY POINTS: • In vitro ARCOL model reproduces luminal and mucosal human microbiome. • Short-term storage of fecal sample influences microbial stabilization and activity. • 48 h freezing at - 80°C: most efficient method to preserve microbial ecosystem. • Scientific and technical requirements: influencers of preservation method.