Yu Ting, Ding Yu, Qian Dong, Lin Lin, Tang Yurong
Department of Gastroenterology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Department of Gastroenterology, Changshu Hospital Affiliated to Soochow University, First People's Hospital of Changshu City, Changshu, China.
Therap Adv Gastroenterol. 2023 Feb 27;16:17562848231154101. doi: 10.1177/17562848231154101. eCollection 2023.
Patients with chronic constipation (CC) show altered gut microbial composition.
To compare the fecal microbiota with different constipation subtypes and to identify potential influencing factors.
This is a prospective cohort study.
The stool samples of 53 individuals with CC and 31 healthy individuals were analyzed using 16S rRNA sequencing. The associations between microbiota composition and colorectal physiology, lifestyle factors, and psychological distress were analyzed.
In all, 31 patients with CC were classified as having slow-transit constipation, and 22 were classified under normal-transit constipation. The relative abundance of Bacteroidaceae was lower, and the relative abundance of Peptostreptococcaceae, Christensenellaceae, and Clostridiaceae was higher in slow-transit than in normal-transit group. In all, 28 and 25 patients with CC had dyssynergic defecation (DD) and non-DD, respectively. The relative abundance of Bacteroidaceae and Ruminococcaceae was higher in DD than in non-DD. Rectal defecation pressure was negatively correlated with the relative abundance of Prevotellaceae and Ruminococcaceae but positively correlated with that of Bifidobacteriaceae in CC patients. Multiple linear regression analysis suggested that depression was a positive predictor of Lachnospiraceae relative abundance, and sleep quality was an independent predictor of decreased relative abundance of Prevotellaceae.
Patients with different CC subtypes showed different characteristics of dysbiosis. Depression and poor sleep were the main factors that affected the intestinal microbiota of patients with CC.
Patients with chronic constipation (CC) show altered gut microbial composition. Previous studies in CC are limited by lacking of subtype stratification, which is reflected in the lack of agreement in findings across the large number of microbiome studies. We analyzed stool microbiome of 53 CC patients and 31 healthy individuals using 16S rRNA sequencing. We found that the relative abundance of Bacteroidaceae was lower, and the relative abundance of Peptostreptococcaceae, Christensenellaceae, and Clostridiaceae was higher in slow-transit than in normal-transit CC patients. The relative abundance of Bacteroidaceae and Ruminococcaceae was higher in dyssynergic defecation (DD) than in non-DD patients with CC. In addition, depression was a positive predictor of Lachnospiraceae relative abundance, and sleep quality was an independent predictor of decreased relative abundance of Prevotellaceae in all CC patients. This study emphasizes patients with different CC subtypes have different characteristics of dysbiosis. Depression and poor sleep may be the main factors that affect the intestinal microbiota of patients with CC.
慢性便秘（CC）患者的肠道微生物组成发生改变。
比较不同便秘亚型的粪便微生物群，并确定潜在影响因素。
这是一项前瞻性队列研究。
使用16S rRNA测序分析53例CC患者和31例健康个体的粪便样本。分析微生物群组成与结直肠生理、生活方式因素和心理困扰之间的关联。
总共31例CC患者被归类为慢传输型便秘，22例被归类为正常传输型便秘。慢传输型组中拟杆菌科的相对丰度较低，消化链球菌科、克里斯滕森菌科和梭菌科的相对丰度高于正常传输型组。总共28例和25例CC患者分别有排便协同失调（DD）和无DD。DD组中拟杆菌科和瘤胃球菌科的相对丰度高于无DD组。CC患者的直肠排便压力与普雷沃菌科和瘤胃球菌科的相对丰度呈负相关，但与双歧杆菌科的相对丰度呈正相关。多元线性回归分析表明，抑郁是毛螺菌科相对丰度的正预测因子，睡眠质量是普雷沃菌科相对丰度降低的独立预测因子。
不同CC亚型的患者表现出不同的生态失调特征。抑郁和睡眠质量差是影响CC患者肠道微生物群的主要因素。
慢性便秘（CC）患者的肠道微生物组成发生改变。以往关于CC的研究因缺乏亚型分层而受到限制，这体现在大量微生物组研究结果缺乏一致性。我们使用16S rRNA测序分析了53例CC患者和31例健康个体的粪便微生物组。我们发现，慢传输型CC患者中拟杆菌科的相对丰度较低，消化链球菌科、克里斯滕森菌科和梭菌科的相对丰度高于正常传输型CC患者。排便协同失调（DD）的CC患者中拟杆菌科和瘤胃球菌科的相对丰度高于无DD患者。此外，抑郁是所有CC患者中毛螺菌科相对丰度的正预测因子，睡眠质量是普雷沃菌科相对丰度降低的独立预测因子。本研究强调不同CC亚型的患者具有不同的生态失调特征。抑郁和睡眠质量差可能是影响CC患者肠道微生物群的主要因素。
