切换至 "中华医学电子期刊资源库"

中华结直肠疾病电子杂志 ›› 2017, Vol. 06 ›› Issue (02) : 121 -126. doi: 10.3877/cma.j.issn.2095-3224.2017.02.008

所属专题: 文献

论著

慢性功能性便秘患者的肠道菌群分析
黄林生1, 高仁元2, 严雪冰2, 祝琦2, 潘成2, 尹明明2, 李豪2, 孔程2, 张鹏2, 沈通一2, 秦环龙1,()   
  1. 1. 200072 上海,安徽医科大学上海十院临床学院;200072 上海,同济大学附属第十人民医院普外科;200072 上海,同济大学医学院肠道疾病研究所
    2. 200072 上海,同济大学附属第十人民医院普外科;200072 上海,同济大学医学院肠道疾病研究所
  • 收稿日期:2016-12-19 出版日期:2017-04-25
  • 通信作者: 秦环龙
  • 基金资助:
    国家自然科学基金项目(No.81230057;No.81472262;No.81302066); 上海新兴前沿技术联合攻关项目(No.SHDC12012106)

Structure analysis of the gut microbiota in chronic functional constipation patients

Linsheng Huang1, Renyuan Gao2, Xuebing Yan2, Qi Zhu2, Cheng Pan2, Mingming Yin2, Hao Li2, Cheng Kong2, Peng Zhang2, Tongyi Shen2, Huanlong Qin1,()   

  1. 1. Shanghai Tenth People′s Hospital Clinical College of Anhui Medical University; Department of General Surgery, Shanghai Tenth People′s Hospital, Tongji University School of Medicine; Research Institute for Intestinal Diseases of Tongji University School of Medicine, Shanghai 200072, China
    2. Department of General Surgery, Shanghai Tenth People′s Hospital, Tongji University School of Medicine; Research Institute for Intestinal Diseases of Tongji University School of Medicine, Shanghai 200072, China
  • Received:2016-12-19 Published:2017-04-25
  • Corresponding author: Huanlong Qin
  • About author:
    Correspondence author: Qin Huanlong, Email:
引用本文:

黄林生, 高仁元, 严雪冰, 祝琦, 潘成, 尹明明, 李豪, 孔程, 张鹏, 沈通一, 秦环龙. 慢性功能性便秘患者的肠道菌群分析[J]. 中华结直肠疾病电子杂志, 2017, 06(02): 121-126.

Linsheng Huang, Renyuan Gao, Xuebing Yan, Qi Zhu, Cheng Pan, Mingming Yin, Hao Li, Cheng Kong, Peng Zhang, Tongyi Shen, Huanlong Qin. Structure analysis of the gut microbiota in chronic functional constipation patients[J]. Chinese Journal of Colorectal Diseases(Electronic Edition), 2017, 06(02): 121-126.

目的

探讨慢性功能性便秘患者与健康对照组之间肠道菌群的差异。

方法

选取便秘组和健康对照组共计20人,留取新鲜粪便样本,冰块运送至实验室并存放于-80度冰箱。采用16S rRNA测序技术检测V4区鉴定菌群。

结果

发现两组人群的菌群丰富度差异有统计学意义(P<0.05),菌群多样性差异无统计学意义。便秘患者与健康对照组之间的肠道细菌组成在门和属水平差异均存在显著统计学意义(P<0.05)。在门水平,便秘患者肠道中放线菌门(Actinobacteria)丰度显著增加(Z=-3.10,P<0.05),而变形菌门(Proteobacteria)丰度显著降低(Z=-2.42,P<0.05),在属水平发现20个菌属差异存在统计学意义(P<0.05)。其中,Coprobacillus(Z=-2.10,P<0.05)、Hungatella(Z=-2.31,P<0.05)、Holdemanella(Z=-2.32,P<0.05)、Anaerostipes(Z=-3.78,P<0.01)、Bacteroidales_S24-7_group_norank(Z=-2.15,P<0.05)、Bacteroides(Z=-3.78,P<0.01)、Blautia(Z=-3.78,P<0.05)、Collinsella(Z=-3.02,P<0.05)、Dorea(Z=-2.95,P<0.05)、[Eubacterium]_ruminantium_group(Z=-2.70,P<0.05)、Erysipelotrichaceae_UCG-003(Z=-3.10,P<0.05)、Ruminococcaceae_uncultured(Z=-2.50,P<0.05)、Parabacteroides(Z=-2.87,P<0.05)菌属在便秘患者的肠道中丰度明显增多,而Megasphaera(Z=-2.31,P<0.05)、Paraprevotella(Z=-2.94,P<0.05)、Prevotella_2(Z=-3.10,P<0.05)、Prevotella_9(Z=-3.68,P<0.01)、Enterococcus(Z=-2.27,P<0.05)、Catenibacterium(Z=-2.48,P<0.05)、Clostridium_sensu_stricto_1(Z=-2.50,P<0.05)菌属在健康对照组的肠道中丰度明显增多。

结论

慢性功能性便秘患者的肠道菌群与健康人群的菌群存在较大差异,通过改变肠道菌群可能成为治疗慢性功能性便秘的新策略。

Objective

To investigate the differences of gut microbiota between patients with chronic functional constipation (CFC) and health controls (HC).

Methods

16S rRNA highthroughout pyrosequencing on V4 region was employed to examine the difference of gut microbiota profiles between 10 CFC patients and 10 HCs. The obtained data were analyzed using bioinformatics.

Results

The richness analysis suggested that HCs have richer gut microbiota than CFC patients (all P<0.05), while no significant difference was observed in the diversity analysis.There was a significant structure difference of gut microbiota between CFC patients and HCs both at the phylum and genus levels (all P<0.05). At the phylum level, Actinobacteria in CFC patients is richer than that in HCs, but Proteobacteria is opposite (all P<0.05). At the genus level, 20 gut microbiota were found to have a changed relative abundance between CFC patients and HCs, in which Coprobacillus, Hungatella, Holdemanella, Anaerostipes, Bacteroidales_S24-7_group_norank, Bacteroides, Blautia, [Eubacterium]_ruminantium_group, Collinsella, Dorea, Erysipelotrichaceae_UCG-003, Parabacteroides and Ruminococcaceae_uncultured were increased in CFC patients while Megasphaera, Paraprevotella, Prevotella_2, Prevotella_9, Enterococcus, Catenibacterium and Clostridium_sensu_stricto_1 were increased in HCs.

Conclusion

There was a significant structure difference of gut microbiota between CFC patients and HCs. Therefore, targeting the gut microbiota dysbiosis may be a promising therapeutic strategy for CFC patients.

表1 人群的基本信息(±s
表2 CFC和HC在属水平显著差异菌群的相对丰度(%)
图1 图示便秘组和健康对照组之间丰度(Ace和Chao指数)和多样性(Shannon和Simpson指数)差异*P<0.05
表3 CFC和HC在门水平菌群的相对丰度比较(%)
图2 便秘组和健康对照组之间放线菌门(Actinobacteria)和变形菌门(Proteobacteria)的丰度差异*P<0.05
图3 便秘组和健康组菌群在属水平的Heatmap图
[1]
Mugie SM, Benninga C, Di Lorenzo. Epidemiology of constipation in children and adults: a systematic review [J]. Best Pract Res Clin Gastroenterol, 2011, 25(1):3-18.
[2]
黄洋. 便秘的危害及防治. 中华中医药学会肛肠分会换届会议暨便秘专题研讨会. 2007.
[3]
Drossman D. The functional gastrointestinal disorders and the Rome II process [J]. Gut, 1999, 45(Suppl 2):II1-II5.
[4]
Tim G J de Meij, Evelien FJ de Groot, Anat Eck, et al. Characterization of Microbiota in Children with Chronic Functional Constipation [J]. PLoS One, 2016, 11(10):e0164731.
[5]
Gopanandan Parthasarathy, Jun Chen, Xianfeng Chen, et al.Relationship Between Microbiota of the Colonic Mucosa vs Feces and Symptoms, Colonic Transit, and Methane Production in Female Patients With Chronic Constipation [J]. Gastroenterology, 2016, 150(2):367-379.
[6]
Quigley EM. The enteric microbiota in the pathogenesis and management of constipation [J]. Best Pract Res Clin Gastroenterol, 2011, 25(1):119-126.
[7]
Ashok Attaluri, Michelle Jackson, Jessica Paulson, et al.Methanogenic flora is associated with altered colonic transit but not stool characteristics in constipation without IBS [J]. Am J Gastroenterol, 2010, 105(6):1407-1411.
[8]
Zoppi G, Cinquetti M, Luciano A, et al. The intestinal ecosystem in chronic functional constipation [J]. Acta Paediatr, 1998, 87(8):836-841.
[9]
Waitzberg DL, Logullo LC, Bittencourt AF, et al. Effect of synbiotic in constipated adult women-a randomized, double-blind, placebo-controlled study of clinical response [J]. Clin Nutr, 2013, 32(1):27-33.
[10]
Ojetti V, Ianiro G, Tortora A, et al. The effect of Lactobacillus reuteri supplementation in adults with chronic functional constipation: a randomized, double-blind, placebo-controlled trial [J]. J Gastrointestin Liver Dis, 2014, 23(4):387-391.
[11]
Tian H, Ding C, Gong J, et al. Treatment of Slow Transit Constipation With Fecal Microbiota Transplantation: A Pilot Study [J]. J Clin Gastroenterol, 2016, 50(10):865-870.
[12]
BarbaraG, Stanghellini V, Brandi G, et al. Interactions between commensal bacteria and gut sensorimotor function in health and disease [J]. Am J Gastroenterol, 2005, 100(11):2560-2568.
[13]
Kashyap PC, Marcobal A, Ursell LK , et al. Complex interactions among diet, gastrointestinal transit, and gut microbiota in humanized mice [J]. Gastroenterology, 2013, 144(5):967-977.
[14]
Caenepeel P, Janssens J, Vantrappen G, et al. Interdigestive myoelectric complex in germ-free rats [J]. Dig Dis Sci, 1989, 34(8):1180-1184.
[15]
Hooper LV, Wong M, H.Thelin A, et al. Molecular analysis of commensal host-microbial relationships in the intestine [J]. Science, 2001, 291(5505):881-884.
[16]
Bar F, Von Koschitzky H, Roblick U, et al. Cell-free supernatants of Escherichia coli Nissle 1917 modulate human colonic motility: evidence from an in vitro organ bath study [J]. Neurogastroenterol Motil, 2009, 21(5):559-566, e16-17.
[17]
Husebye E, Hellstrom P, M.Sundler F, et al. Influence of microbial species on small intestinal myoelectric activity and transit in germ-free rats [J]. Am J Physiol Gastrointest Liver Physiol, 2001, 280(3):G368-380.
[18]
Ma X, Mao YK, Wang B, et al. Lactobacillus reuteri ingestion prevents hyperexcitability of colonic DRG neurons induced by noxious stimuli [J]. Am J Physiol Gastrointest Liver Physiol, 2009, 296(4):G868-875.
[19]
Wang B, Mao YK, Diorio C, et al. Lactobacillus reuteri ingestion and IK(Ca) channel blockade have similar effects on rat colon motility and myenteric neurones [J]. Neurogastroenterol Motil, 2010, 22(1):98-107, e33.
[1] 刘丹丹, 宋鸣, 李霞, 徐夏君. 老年髋部骨折术后便秘的影响因素及其列线图预测模型[J]. 中华关节外科杂志(电子版), 2023, 17(05): 607-612.
[2] 张非红, 夏斌. 肠道菌群失调与新生儿坏死性小肠结肠炎发病机制的研究现状[J]. 中华妇幼临床医学杂志(电子版), 2022, 18(05): 523-527.
[3] 尹九湖, 卢晓明, 孙科, 易忠权, 沈园园, 刘亚东. 基于16S rRNA测序分析糖尿病尿路感染者尿液菌群特征[J]. 中华实验和临床感染病杂志(电子版), 2023, 17(03): 164-172.
[4] 何吉鑫, 杨燕妮, 王继伟, 李建国, 谢铭. 肠道菌群及肠道代谢产物参与慢性便秘发生机制的研究进展[J]. 中华结直肠疾病电子杂志, 2023, 12(06): 495-499.
[5] 邰清亮, 施波, 侍新宇, 陈国梁, 陈俊杰, 武冠廷, 王索, 孙金兵, 顾闻, 叶建新, 何宋兵. 腹腔镜次全结肠切除术治疗顽固性慢传输型便秘的疗效分析[J]. 中华结直肠疾病电子杂志, 2023, 12(06): 478-483.
[6] 周启阳, 何宋兵, 胡优, 陈昕, 周雨迪, 周晓俊. 第四代达芬奇机器人单孔加一腹腔镜全结肠切除术治疗慢传输型便秘一例(附视频)[J]. 中华结直肠疾病电子杂志, 2023, 12(04): 348-352.
[7] 张睿, 陈艳妮, 侯孝涛, 陈浩, 麻琦瑶, 倪敏. 老年出口梗阻型便秘患者肛门直肠测压特点分析[J]. 中华结直肠疾病电子杂志, 2023, 12(02): 139-144.
[8] 曹永丽, 王思远, 李宜璐, 吕兵兵, 张春旭, 杨阳, 张远耀, 杨维维, 张文丽, 魏东. 腹腔镜次全结肠旷置造口盲直肠吻合术治疗老年慢传输型便秘的临床疗效观察[J]. 中华结直肠疾病电子杂志, 2022, 11(05): 392-398.
[9] 杨程鹏, 金佳, 王明祥, 戴光耀. 直肠黏膜环切联合阴道后壁折叠治疗出口梗阻型便秘的效果观察[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 471-474.
[10] 许新意, 岳婧婧, 高玲, 曾禹沙, 李婧婧, 冯克, 薛雅红. 经会阴超声与MRI排粪造影诊断女性出口梗阻型便秘的临床价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(05): 342-348.
[11] 郑秀丽, 倪敏. 功能性便秘患者的直肠肛门抑制反射特征分析100例[J]. 中华临床医师杂志(电子版), 2023, 17(08): 870-875.
[12] 张冠男, 吴开丘, 曹佩佩, 陈智凌, 周晓君, 牛莉娜. 海南省一例足部皮肤感染海藻施万菌的鉴定分析[J]. 中华临床医师杂志(电子版), 2023, 17(04): 424-430.
[13] 沈彬艳, 金黑鹰, 张心怡, 杨怡雯, 王永通, 张春霞, 叶晓瑞. 超声排粪造影在盆底失弛缓便秘诊断中的价值[J]. 中华临床医师杂志(电子版), 2022, 16(07): 626-629.
[14] 买买提·依斯热依力, 王永康, 吾布力卡斯木·吾拉木, 阿巴伯克力·乌斯曼, 克力木·阿不都热依木. 基于16s rRNA测序分析心理应激小鼠肠道菌群结构特征[J]. 中华胃食管反流病电子杂志, 2022, 09(04): 181-186.
[15] 买买提·依斯热依力, 王永康, 阿巴伯克力·乌斯曼, 克力木·阿不都热依木. 基于16s rRNA测序分析小鼠高脂饮食诱导肥胖的肠道菌群结构特征[J]. 中华肥胖与代谢病电子杂志, 2023, 09(01): 12-16.
阅读次数
全文


摘要