Hu Lunan, Liu Qihong, Ke Xiao, Zhao Peilin, Fang Wenyi, Ren Yan
Department of Gastroenterology, The Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Front Microbiol. 2025 May 21;16:1591697. doi: 10.3389/fmicb.2025.1591697. eCollection 2025.
Functional constipation (FC) is a clinically frequent intestinal disorder. A growing body of evidence emphasizes the link between intestinal microecological imbalance and constipation. However, the microbiota composition associated with FC and the mechanisms by which metabolites influence gut motility remain poorly understood.
Stool samples were collected from 60 participants (20 FC patients with delayed colonic transit time, 20 FC patients with normal colonic transit time, and 20 healthy controls), and macrogenomics and metabolomics were used to assess the differences in the microbiota and metabolite composition of different colonic transit functions in FC. In addition to assessing clinical symptoms, this study aimed to better understand how intestinal flora contributed to impaired gut motility in FC patients.
Significant microbiota taxonomic differences were observed across different gut dynamics in FC; , , , , , and were key bacteria in FC patients with delayed colonic transit time; and were key bacteria in FC patients with normal colonic transit time; and , , , , , and were the key organisms in healthy controls. The metabolomics analysis revealed three differentially abundant short-chain fatty acids: acetic acid, propionic acid, and butyric acid. Furthermore, there were 11 differentially abundant bile acids, including -muricholic acid and nor-deoxycholic acid. Correlation analysis revealed significant correlations between the 14 differential bacteria and the 14 metabolites, Notably, was positively correlated with butyrate and acetate levels ( < 0.05). In addition, showed positive correlations with several BAs, including nor-deoxycholic acid, isoallolithocholic acid, -muricholic acid, -muricholic acid, 5α-cholanic acid-3α-ol, and dehydrolithocholic acid ( < 0.05). The Spearman's value >0.6 combination in the correlation analysis between fecal differential bacteria and differentially abundant metabolites revealed an AUC value of 0.854 between FC patients and healthy controls, indicating good predictive ability.
The identified differences in the composition and metabolites of different colonic transmission-dynamic microbiota in FC further our understanding of the underlying mechanisms involved in FC pathogenesis and may provide new insights into diagnostics and therapeutic interventions.
功能性便秘（FC）是一种临床常见的肠道疾病。越来越多的证据强调肠道微生态失衡与便秘之间的联系。然而，与FC相关的微生物群组成以及代谢产物影响肠道运动的机制仍知之甚少。
收集60名参与者的粪便样本（20名结肠传输时间延迟的FC患者、20名结肠传输时间正常的FC患者和20名健康对照），采用宏基因组学和代谢组学评估FC中不同结肠传输功能的微生物群和代谢产物组成的差异。除了评估临床症状外，本研究旨在更好地了解肠道菌群如何导致FC患者肠道运动受损。
在FC中，不同肠道动态之间观察到显著的微生物分类差异；[具体细菌名称1]、[具体细菌名称2]、[具体细菌名称3]、[具体细菌名称4]、[具体细菌名称5]、[具体细菌名称6]和[具体细菌名称7]是结肠传输时间延迟的FC患者中的关键细菌；[具体细菌名称8]和[具体细菌名称9]是结肠传输时间正常的FC患者中的关键细菌；而[具体细菌名称10]、[具体细菌名称11]、[具体细菌名称12]、[具体细菌名称13]、[具体细菌名称14]、[具体细菌名称15]和[具体细菌名称16]是健康对照中的关键微生物。代谢组学分析揭示了三种差异丰富的短链脂肪酸：乙酸、丙酸和丁酸。此外，有11种差异丰富的胆汁酸，包括β-鼠胆酸和去氧胆酸。相关性分析显示14种差异细菌与14种代谢产物之间存在显著相关性，值得注意的是，[具体细菌名称17]与丁酸和乙酸水平呈正相关（P<0.05）。此外，[具体细菌名称18]与几种胆汁酸呈正相关，包括去氧胆酸、异石胆酸、β-鼠胆酸、α-鼠胆酸、5α-胆烷酸-3α-醇和脱氢石胆酸（P<0.05）。粪便差异细菌与差异丰富代谢产物之间的相关性分析中Spearman值>0.6的组合显示，FC患者与健康对照之间的AUC值为0.854，表明具有良好的预测能力。
FC中不同结肠传输动态微生物群的组成和代谢产物差异的确定，进一步加深了我们对FC发病机制潜在机制的理解，并可能为诊断和治疗干预提供新的见解。
