Fedir Grynchuk, Andrii Grynchuk, Fedir Grynchuk Jr and Andrii Bocharov
Materials and Methods: 4 groups of 15 white rats: 1st - intact, 2nd - model of diabetes mellitus, 3rd - model of intra-abdominal infection, 4th - model of diabetes and intra-abdominal infection. Intra-abdominal infection was simulated by intraabdominal injection of autofaeces mixture. Diabetes was simulated by injection of aloxane solution. Intra-abdominal infection was simulated 3 months after diabetes simulation. The small and large intestines, peritoneal exudate microflora was studied. The material for examination was taken before simulation of intra-abdominal infection, 6, 12, 24, 48 h after.
Results: Dysbacteriosis was detected in the 2nd group. In the 3rd group, in 6 h, dysbacteriosis was detected, in the 4th group-dysbacteriosis progression. In the 4th group, in 12 h, dysbiosis (candidiasis) was detected, which further progressed. During the development of intra-abdominal infection, permanent changes in the intestinal microbiocenosis and peritoneal exudate microflora were detected. In the 4th group, the changes were more severe. In the 3rd group, in 48 h, microflora’s changes in both intestines, in peritoneal exudate indicate slightly regression of pathological processes. In the 4th group, in 48 h, progression of pathological processes was detected.
Conclusion
1. Intestinal dysbacteriosis was detected in rats 3 months after diabetes mellitus modeling.
2. Modeling of intra-abdominal infection in intact rats causes intestinal dysbacteriosis, a syndrome of excess bacterial colonization of small intestines.
3. Modeling of intra-abdominal infection in rats with diabetes mellitus models increases intestinal dysbacteriosis, causes the syndrome of excess bacterial colonization of small intestines, dysbiosis in large intestines.
4. In intact rats, 48 h after intra-abdominal infection modeling, signs of dysbacteriosis regression and a decrease in the number of microorganisms in peritoneal exudate were detected, instead in rats with diabetes mellitus models, signs of dysbacteriosis and dysbiosis progression and an increase in the number of microorganisms in peritoneal exudate were detected.
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