Akkermansia muciniphila improves chronic colitis-induced enteric neuroinflammation in mice

BACKGROUND

Inflammatory bowel diseases (IBD) are chronic diseases that are not fully understood. Drugs in use can only be applied for a short time due to their side effects. Therefore, research is needed to develop new treatment approaches. In addition, it has been proven that IBD causes degeneration in the enteric nervous system (ENS). In recent years, it has been discussed that probiotics may have positive effects in the prevention and treatment of inflammatory enteric degeneration. Akkermansia muciniphila (A. muciniphila) is an anaerobic bacterium found in the mucin layer of the intestinal microbiota. It has been found that the population of A. muciniphila decreases in the case of different diseases. In light of this information, the curative effect of A. muciniphila application on colitis-induced inflammation and enteric degeneration was investigated.

METHODS

In this study, 5 weeks of A. muciniphila treatment in Trinitro-benzene-sulfonic acid (TNBS)-induced chronic colitis model was investigated. Colon samples were examined at microscopic, biochemical, and molecular levels. Fecal samples were collected before, during, and after treatment to evaluate the population changes in the microbiota. Specific proteins secreted from the ENS were evaluated, and enteric degeneration was examined.

RESULTS

As a result of the research, the ameliorative effects of A. muciniphila were shown in the TNBS colitis model-induced inflammation and ENS damage.

DISCUSSION

In light of these results, A. muciniphila can potentially be evaluated as a microbiome-based treatment for IBD with further clinical and experimental studies.

Simple Identification of Mycobacterial Species by Sequence-Specific Multiple Polymerase Chain Reactions

Several species of mycobacteria cause infections in humans. Species identification of clinical isolates of mycobacteria is very important for the decision of treatment and in choosing the appropriate treatment regimen. We have developed a multiplex PCR method that can identify practically all known species of mycobacteria, by determination of single-nucleotide differences at a total of 13 different polymorphic regions in the genes of rRNA and hsp65, in four PCR mixes. To achieve this goal, single-nucleotide differences in these polymorphic regions were used to divide mycobacterial species into two groups, than four, eight, etc., in an algorithmic manner. It was sufficient to reach single species level by evaluating 13 polymorphic regions. Evaluation of the multiplex PCR patterns by observable real-time electrophoresis (ORTE) simplified species identification. This new method may enable easy, rapid, and cost-effective identification of all species of mycobacteria.