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Fecal microbial biomarkers in older adults with autoimmune diseases.

Yu Shuang XuYiHua WangWen ZhongCuiPing ZhangZhi-Fan XiongRui ChenTao Mao
Published in: Future microbiology (2023)
Aim: To analyze the alterations in the fecal microbiota of older adults with autoimmune disease and determine the diagnostic capabilities of microbial biomarkers. Methods: The raw data of fecal samples from 444 older adults from the publicly available American Gut Project database was analyzed. Results: It was found that there were no significant differences in the microbiota richness and evenness between older adults with autoimmune disease and healthy controls. However, significant differences were observed in the microbiota composition and structure. The subject operating characteristic curve of the eight key microbiota was obtained, and the area under curve value was 70.0%. Conclusion: Older adults with autoimmune disease showed changes in intestinal microbiota composition, which can be used as microbial biomarkers.
Keyphrases
  • physical activity
  • microbial community
  • multiple sclerosis
  • community dwelling
  • middle aged
  • big data
  • artificial intelligence