Application of Artificial Gastrointestinal Tract Models in Veterinary Medicine

被引:0
作者
Shebeko, Sergei Konstantinovich [1 ]
Drobot, Heorhii Yurievich [1 ]
Koshchaev, Andrey Georgievich [2 ]
Todorov, Svetoslav Dimitrov [3 ]
Ermakov, Alexey Mikhailovich [1 ]
机构
[1] Don State Tech Univ, Fac Bioengn & Vet Med, 1 Gagarina sq, Rostov Na Donu 344000, Russia
[2] Kuban State Agrarian Univ, Dept Biotechnol Biochem & Biophys, 13 Kalinina St, Krasnodar 350044, Russia
[3] Univ Sao Paulo, Fac Ciencias Farmaceut, Food Res Ctr, Dept Alimentos & Nutricao Expt,ProBacLab,Lab Micro, BR-05508000 Sao Paulo, Brazil
关键词
artificial gastrointestinal tract models; veterinary; microbiota studies; disease modeling; drug development; toxicology assessment; animal health; beneficial microbes; IN-VITRO FERMENTATION; DIGESTION; MICROBIOTA; SYSTEM; BIOACCESSIBILITY; DIGESTIBILITY; METABOLISM; NUTRITION; BACTERIA; STOMACH;
D O I
10.3390/ani15091222
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Artificial gastrointestinal tract models have become essential tools in veterinary medicine, providing alternatives to in vivo studies, which are labor-intensive, costly, and under certain circumstances even ethically challenging. These in vitro models facilitate the study of digestion, enable disease and host-pathogen interaction modeling, and allow for the investigation of nutrient absorption, microbiota, and pharmacokinetics. Considering the One Health concept, the application of gastrointestinal tract systems in investigations for animals can clearly reflect human health, and thus, it is pointing to the relevance of the adaptation of already existing models and the development of new models to meet the needs of veterinary and animal farming practices. This review explores and compares the various types of gastrointestinal tract models, including static and dynamic systems, and their applications across different animal species. Specific technical and methodological considerations are discussed for core animal-developed and -tested artificial systems and their integration with common 'omics' techniques. Dynamic models, such as RUSITEC and PolyFermS, more accurately simulate in vivo processes, including peristalsis, enzymatic activity, and microbial fermentation. The studies employing tools for 'omics' approaches have been conducted with more understanding analysis and comprehensive discussion and results.
引用
收藏
页数:24
相关论文
共 110 条
[1]   Effect of type of fiber, site of fermentation, and method of analysis on digestibility of soluble and insoluble fiber in rabbits [J].
Abad-Guaman, R. ;
Carabano, R. ;
Gomez-Conde, M. S. ;
Garcia, J. .
JOURNAL OF ANIMAL SCIENCE, 2015, 93 (06) :2860-2871
[2]   Westernized diets lower arsenic gastrointestinal bioaccessibility but increase microbial arsenic speciation changes in the colon [J].
Alava, Pradeep ;
Du Laing, Gijs ;
Tack, Filip ;
De Ryck, Tine ;
Van De Wiele, Tom .
CHEMOSPHERE, 2015, 119 :757-762
[3]   Arsenic undergoes significant speciation changes upon incubation of contaminated rice with human colon micro biota [J].
Alava, Pradeep ;
Tack, Filip ;
Du Laing, Gijs ;
Van de Wiele, Tom .
JOURNAL OF HAZARDOUS MATERIALS, 2013, 262 :1237-1244
[4]  
Alegria A., 2015, IMPACT FOOD BIOACTIV, P3
[5]   Pesticides: Unintended Impact on the Hidden World of Gut Microbiota [J].
Ali, Asghar ;
Alhussaini, Khalid I. .
METABOLITES, 2024, 14 (03)
[6]   Perspectives in Veterinary Pharmacology and Toxicology [J].
Anadon, Arturo .
FRONTIERS IN VETERINARY SCIENCE, 2016, 3
[7]   Current Perspectives on Gastrointestinal Models to Assess Probiotic-Pathogen Interactions [J].
Anjum, Mehreen ;
Laitila, Arja ;
Ouwehand, Arthur C. ;
Forssten, Sofia D. .
FRONTIERS IN MICROBIOLOGY, 2022, 13
[8]   Emerging Technologies for Gut Microbiome Research [J].
Arnold, Jason W. ;
Roach, Jeffrey ;
Azcarate-Peril, M. Andrea .
TRENDS IN MICROBIOLOGY, 2016, 24 (11) :887-901
[9]  
Arora T, 2011, INDIAN J PHARM SCI, V73, P1, DOI 10.4103/0250-474X.89750
[10]   Glycerol and reuterin-producing Limosilactobacillus reuteri enhance butyrate production and inhibit Enterobacteriaceae in broiler chicken cecal microbiota PolyFermS model [J].
Asare, Paul Tetteh ;
Greppi, Anna ;
Geirnaert, Annelies ;
Pennacchia, Alessia ;
Babst, Angela ;
Lacroix, Christophe .
BMC MICROBIOLOGY, 2023, 23 (01)