High-throughput sequencing analysis of the characteristics of the gut microbiota in aged patients with sarcopenia

Yiyi Zhang; Ying Zhu; Qin Guo; Wei Wang; Lei Zhang

doi:10.1016/j.exger.2023.112287

High-throughput sequencing analysis of the characteristics of the gut microbiota in aged patients with sarcopenia

Exp Gerontol. 2023 Oct 15:182:112287. doi: 10.1016/j.exger.2023.112287. Epub 2023 Sep 16.

Authors

Yiyi Zhang¹, Ying Zhu¹, Qin Guo¹, Wei Wang¹, Lei Zhang²

Affiliations

¹ Department of Endocrinology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China.
² Department of Endocrinology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610072, China. Electronic address: zhanglei98511@126.com.

PMID: 37716483
DOI: 10.1016/j.exger.2023.112287

Abstract

Background: The gut microbiota is a complex microbial community that changes in response to various intestinal diseases, including aging-related diseases such as sarcopenia. Several studies have shown that the metabolites of the gut microbiota affect the dynamic balance of the skeletal muscle. However, the effect of gut microbiota imbalance on sarcopenia is still largely unknown.

Methods: We collected the baseline characteristics and fecal samples of 14 patients with sarcopenia and 21 patients without sarcopenia, and used the 16S rRNA sequencing technology to analyze the differences in the gut microbiota in the two groups. α-diversity and β-diversity were employed to assess the abundance and diversity of species and variations in microflora composition, respectively. Moreover, Tax4Fun was employed to predict the functional capacities of the microbial communities.

Results: In the sarcopenia group, the abundances of beneficial bacteria such as Bacteroides, Faecalibacterium, Fusobacterium, and Prevotella were reduced, whereas those of pathogenic bacteria, such as Escherichia-Shigella and Klebsiella, were increased. The genera and species of the family Enterobacteriaceae were the main pathogenic bacteria in patients with sarcopenia, and Escherichia-Shigella and Klebsiella could be used as key biomarkers of sarcopenia. The defective protein processing and amino acid synthesis pathways in patients with sarcopenia indicated that protein synthesis and nutrient transport may be damaged. Moreover, the abundances of Escherichia-Shigella and Enterobacteriaceae have been found to have a negative correlation with muscle mass and were the main parameters predicting the change in muscle mass.

Conclusions: In this study, we have identified changes in the gut microbiota of sarcopenic individuals, which were linked to the loss of muscle mass and function. Escherichia-Shigella is a conditional pathogen of sarcopenic patients, and its levels are found to have a significant negative correlation with muscle mass.

Keywords: 16S rRNA sequencing; Gut microbiota; Muscle mass; Sarcopenia.