Gastrointestinal Characteristics of Constipation from the Perspectives of Microbiome and Metabolome

• Published in: Digestive diseases and sciences 2024-04, Vol.69 (4), p.1318-1335
• Main Authors: Wang, Huimin, Zhao, Di, Wang, Senyan, Liu, Huanle, Zhao, Sijun, Li, Zhenyu, Qin, Xuemei, Liu, Xiaojie
• Format: Article
• Language: English
• Subjects: Animals; Biochemistry; Constipation; Constipation - metabolism; Defecation; Feces - chemistry; Gastroenterology; Gastrointestinal Tract; Genotype & phenotype; Hepatology; Medicine; Medicine & Public Health; Metabolites; Metabolome - genetics; Microbiota; NMR; Nuclear magnetic resonance; Oncology; Original Article; Rats; RNA, Ribosomal, 16S - analysis; Transplant Surgery
• ISSN: 0163-2116; 1573-2568
• DOI: 10.1007/s10620-024-08334-8

Background Constipation is one of the most common gastrointestinal complaints. Yet, the underlying mechanisms of constipation remain to be explored deeply. Integration of microbiome and metabolome is powerful and promising to demonstrate characteristics of constipation. Aim of Study This study aimed to characterize intestinal microbiome and metabolome of constipation. In addition, this study revealed the correlations among behaviors, intestinal microbiota, and metabolites interrupted by constipation. Methods Firstly, the constipation model was successfully applied. At the macro level, the ability of learning, memory, locomotor activity, and the defecation index of rats with constipation-like phenotype were characterized. At the micro-level, 16S rRNA sequencing was applied to analyze the intestinal microbiota in rats with constipation-like phenotype. 1 H nuclear magnetic resonance (NMR)-based metabolomics was employed to investigate the metabolic phenotype of constipation. In addition, we constructed a correlation network, intuitively showing the correlations among behaviors, intestinal microbiota, and metabolites. Results Constipation significantly attenuated the locomotor activity, memory recognition, and frequency of defecation of rats, while increased the time of defecation. Constipation significantly changed the diversity of intestinal microbial communities, which correspondingly involved in 5 functional pathways. Besides, 28 fecal metabolites were found to be associated with constipation, among which 14 metabolites were further screened that can be used to diagnose constipation. On top of this, associated networks intuitively showed the correlations among behaviors, intestinal microbiota, and metabolites. Conclusions The current findings are significant in terms of not only laying a foundation for understanding characteristics of constipation, but also providing accurate diagnosis and treatments of constipation clinically. Graphical Abstract