关注肠道蠕动性:蓝色粪便追踪+手机APP或优于传统分析法?
创作:Johnson 审核:solo 03月31日
  • 研究利用低成本、易分辨的食用性蓝色染料,检测1098名志愿者的肠道转运时间;
  • 验证此方法可代替传统粪样一致性、排便频率分析法且应用性更强;
  • 发现微生物组成可按肠道转运时间快慢区分,菌群α多样性、特异细菌如Akk菌及其代谢通路都与转运时间相关;
  • 通过构建结构方程模型来计算肠道转运时间、微生物组、饮食与健康之间的相关性;
  • 发现其与菌群强相关,与内脏脂肪量、餐后反应独立相关,或可预测心脏代谢健康。
主编推荐语
solo
Gut上最新发表的文章,采用可食用蓝色染料标记测量肠道转运时间与人肠道微生物组间的关系,既便宜又方便,或可在大型流行病学调查中推广。蓝色染料添加入松饼服用,配合手机APP记录。有时候一个小创新,在实践中就可能大有作为。
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Gut [IF:19.819]

Blue poo: impact of gut transit time on the gut microbiome using a novel marker

蓝色粪便:采用一种新型标记物研究肠道转运时间对微生物组的影响

10.1136/gutjnl-2020-323877

03-15, Article

Abstract & Authors:展开

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Background and aims: Gut transit time is a key modulator of host–microbiome interactions, yet this is often overlooked, partly because reliable methods are typically expensive or burdensome. The aim of this single-arm, single-blinded intervention study is to assess (1) the relationship between gut transit time and the human gut microbiome, and (2) the utility of the ‘blue dye’ method as an inexpensive and scalable technique to measure transit time.
Methods : We assessed interactions between the taxonomic and functional potential profiles of the gut microbiome (profiled via shotgun metagenomic sequencing), gut transit time (measured via the blue dye method), cardiometabolic health and diet in 863 healthy individuals from the PREDICT 1 study.
Results: We found that gut microbiome taxonomic composition can accurately discriminate between gut transit time classes (0.82 area under the receiver operating characteristic curve) and longer gut transit time is linked with specific microbial species such as Akkermansia muciniphila, Bacteroides spp and Alistipes spp (false discovery rate-adjusted p values <0.01). The blue dye measure of gut transit time had the strongest association with the gut microbiome over typical transit time proxies such as stool consistency and frequency.
Conclusions : Gut transit time, measured via the blue dye method, is a more informative marker of gut microbiome function than traditional measures of stool consistency and frequency. The blue dye method can be applied in large-scale epidemiological studies to advance diet-microbiome-health research. Clinical trial registry website https://clinicaltrials.gov/ct2/show/NCT03479866 and trial number NCT03479866.

First Authors:
Francesco Asnicar,Emily R Leeming,Eirini Dimidi,Timothy D Spector,Nicola Segata,Sarah E Berry

Correspondence Authors:
Sarah E Berry

All Authors:
Francesco Asnicar,Emily R Leeming,Eirini Dimidi,Mohsen Mazidi,Paul Franks,Haya Al Khatib,Ana M Valdes,Richard Davies,Elco Bakker,Lucy Francis,Andrew Chan,Rachel Gibson,George Hadjigeorgiou,Jonathan Wolf,Timothy D Spector,Nicola Segata,Sarah E Berry

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