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通过粪便样本中细菌数量的正常化来调节短链脂肪酸浓度,可以改善由 感染引起的正常和失调肠道微生物群落的区分。

Normalization of short-chain fatty acid concentration by bacterial count of stool samples improves discrimination between eubiotic and dysbiotic gut microbiota caused by infection.

机构信息

Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain.

ISGlobal, Barcelona, Spain.

出版信息

Gut Microbes. 2024 Jan-Dec;16(1):2415488. doi: 10.1080/19490976.2024.2415488. Epub 2024 Oct 12.

Abstract

Short-chain fatty acids (SCFAs) represent a cornerstone of gut health, serving as critical mediators of immune modulation and overall host homeostasis. Patients with dysbiosis caused by infection (CDI) typically exhibit lower SCFAs levels compared to healthy stool donors and, thus, the concentration of SCFAs has been proposed as a proxy marker of a healthy microbiota. However, there is no consistency in the methods used to quantify SCFAs in stool samples and usually, the results are normalized by the weight of the stool samples, which does not address differences in water and fiber content and ignores bacterial counts in the sample (the main component of stool that contributes to the composition of these metabolites in the sample). Here, we show that normalized SCFAs concentrations by the bacterial count improve discrimination between healthy and dysbiotic samples (patients with CDI), particularly when using acetate and propionate levels. After normalization, butyrate is the metabolite that best discriminates eubiotic and dysbiotic samples according to the area under the receiver operating characteristic (ROC) curve (AUC-ROC = 0.860, [95% CI: 0.786-0.934],  < .0001).

摘要

短链脂肪酸 (SCFAs) 是肠道健康的基石,它们作为免疫调节和宿主整体内稳态的关键介质发挥作用。由 感染 (CDI) 引起的菌群失调患者的 SCFAs 水平通常低于健康粪便供体,因此,SCFAs 的浓度被提议作为健康微生物群的替代标志物。然而,在粪便样本中定量 SCFAs 所使用的方法并不一致,通常通过粪便样本的重量对结果进行归一化,这并不能解决粪便中水分和纤维含量的差异,也忽略了样本中的细菌计数(样本中的主要成分有助于这些代谢物在样本中的组成)。在这里,我们表明通过细菌计数归一化的 SCFAs 浓度可以改善健康和失调样本(CDI 患者)之间的区分,特别是使用乙酸盐和丙酸盐水平时。归一化后,丁酸盐是根据接收者操作特征 (ROC) 曲线下面积 (AUC-ROC = 0.860, [95% CI: 0.786-0.934],  < .0001) 区分生态型和失调样本的最佳代谢物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ddb/11485779/bf8183b88b73/KGMI_A_2415488_F0001_B.jpg

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