4.5 Article

Analysis of intestinal microbial communities of cerebral infarction and ischemia patients based on high throughput sequencing technology and glucose and lipid metabolism

Journal

MOLECULAR MEDICINE REPORTS
Volume 16, Issue 4, Pages 5413-5417

Publisher

SPANDIDOS PUBL LTD
DOI: 10.3892/mmr.2017.7227

Keywords

cerebral infarction; intestinal microbial communities; sequencing technology

Funding

  1. National Natural Science Foundation of China [31501159]
  2. Tianjin Public Health Key Research Project [15KG108]
  3. Tianjin Research Program of Application Foundation and Advanced Technology [14JCQNJC12000]
  4. Tianjin Science and Technology Key Project on Chronic Diseases Prevention and Treatment [16ZXMJSY00020]
  5. Special Program of Talents Development for Excellent Youth Scholars in Tianjin, China

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Currently, cerebral infarction (CI) is the leading cause of disability and the second leading cause of mortality in China, seriously affecting patient quality of life. Ischemia (IS) is considered to be the early stage of CI. The present study aims to investigate the variation of intestinal microbial communities in patients with CI and IS using high throughput sequencing technology, and then analyze the results to identify a novel potential pathogenic mechanism of CI and IS. In total, 8 patients with CI, 2 patients with IS and 10 healthy volunteers as a control were selected. Throughput sequencing technology was used to analyze the character and microbial population of the gut. The abundance of Escherichia, Bacteroides, Megamonas, Parabacteroides, Akkermansia, Prevotella, Faecalibacterium, Dialister, Bifidobacterium and Ruminococcus was the significant difference in the intestinal microbial communities of the CI and IS patients compared with the healthy group. It was also observed that CI and IS were closely associated with internal glucose metabolism. The intestinal gut disturbance of CI patients may be one of the causes inducing CI by glucose metabolism and maybe considered as a potential method to predict the disease.

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