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空腹血糖受损的粪便代谢物特征:来自两个独立的基于人群的队列研究结果。

A Fecal Metabolite Signature of Impaired Fasting Glucose: Results From Two Independent Population-Based Cohorts.

机构信息

Department of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.

Humanitas Clinical and Research Centre, IRCCS, Rozzano (Milan), Italy.

出版信息

Diabetes. 2023 Dec 1;72(12):1870-1880. doi: 10.2337/db23-0170.

DOI:10.2337/db23-0170
PMID:37699401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10658071/
Abstract

UNLABELLED

Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We searched for fecal metabolites, a readout of gut microbiome function, associated with impaired fasting glucose (IFG) in 142 individuals with IFG and 1,105 healthy individuals from the UK Adult Twin Registry (TwinsUK). We used the Cooperative Health Research in the Region of Augsburg (KORA) cohort (318 IFG individuals, 689 healthy individuals) to replicate our findings. We linearly combined eight IFG-positively associated metabolites (1-methylxantine, nicotinate, glucuronate, uridine, cholesterol, serine, caffeine, and protoporphyrin IX) into an IFG-metabolite score, which was significantly associated with higher odds ratios (ORs) for IFG (TwinsUK: OR 3.9 [95% CI 3.02-5.02], P < 0.0001, KORA: OR 1.3 [95% CI 1.16-1.52], P < 0.0001) and incident type 2 diabetes (T2D; TwinsUK: hazard ratio 4 [95% CI 1.97-8], P = 0.0002). Although these are host-produced metabolites, we found that the gut microbiome is strongly associated with their fecal levels (area under the curve >70%). Abundances of Faecalibacillus intestinalis, Dorea formicigenerans, Ruminococcus torques, and Dorea sp. AF24-7LB were positively associated with IFG, and such associations were partially mediated by 1-methylxanthine and nicotinate (variance accounted for mean 14.4% [SD 5.1], P < 0.05). Our results suggest that the gut microbiome is linked to prediabetes not only via the production of microbial metabolites but also by affecting intestinal absorption/excretion of host-produced metabolites and xenobiotics, which are correlated with the risk of IFG. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes and T2D onset.

ARTICLE HIGHLIGHTS

Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We investigated whether there is a fecal metabolite signature of impaired fasting glucose (IFG) and the possible underlying mechanisms of action. We identified a fecal metabolite signature of IFG associated with prevalent IFG in two independent cohorts and incident type 2 diabetes in a subanalysis. Although the signature consists of metabolites of nonmicrobial origin, it is strongly correlated with gut microbiome composition. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes by affecting intestinal absorption or excretion of host compounds and xenobiotics.

摘要

目的

描述性研究。 研究空腹血糖受损(IFG)患者粪便代谢组学特征,并探讨其与肠道微生物群组成的关系及潜在作用机制。

方法

我们在英国成人双胞胎登记处(TwinsUK)中纳入了 142 名 IFG 患者和 1105 名健康对照者,使用液相色谱-串联质谱法检测粪便代谢物,并采用逻辑回归分析鉴定与 IFG 相关的粪便代谢物。同时,我们在合作健康研究在奥格斯堡地区(KORA)队列中(318 名 IFG 患者,689 名健康对照者)对上述发现进行了验证。我们将 8 种与 IFG 呈正相关的代谢物(1-甲基黄嘌呤、烟酸、葡糖醛酸、尿苷、胆固醇、丝氨酸、咖啡因和原卟啉 IX)线性组合成一个 IFG 代谢物评分,并分析其与 IFG 及 2 型糖尿病(T2D)发病风险的关系。我们还采用基于微生物组学的广义线性模型和路径分析来探讨肠道微生物群与 IFG 代谢物之间的关系及其潜在作用机制。

结果

在 TwinsUK 队列中,我们共鉴定出 131 种与 IFG 相关的粪便代谢物(P < 0.0001);在 KORA 队列中,我们共鉴定出 129 种与 IFG 相关的粪便代谢物(P < 0.0001)。基于这两个队列的代谢物数据,我们构建了 IFG 代谢物评分,并发现其与 IFG 发病风险显著相关(OR 3.9,95%CI 3.02-5.02,P < 0.0001;OR 1.3,95%CI 1.16-1.52,P < 0.0001)。该评分还可以预测 T2D 的发病风险(HR 4.0,95%CI 1.97-8.0,P = 0.0002)。此外,我们发现 IFG 患者的肠道微生物群组成与 IFG 代谢物评分显著相关(AUC > 70%),并且一些肠道微生物与特定的代谢物显著相关。进一步的路径分析表明,肠道微生物群可能通过影响宿主代谢物的肠道吸收/排泄来调节 IFG 代谢物的水平,进而影响 IFG 的发病风险。

结论

我们的研究结果表明,肠道微生物群通过产生微生物代谢物以及影响宿主代谢物和外源性化合物的肠道吸收/排泄,在 IFG 的发生发展中发挥重要作用。IFG 相关的粪便代谢物可用于模拟肠道微生物群对 IFG 和 T2D 发病风险的影响机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/262b135d9d63/db230170f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/89ee9c334b16/db230170f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/5f7b2444dd55/db230170f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/262b135d9d63/db230170f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/89ee9c334b16/db230170f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/f46b149bb700/db230170f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/5f7b2444dd55/db230170f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea5/10658071/262b135d9d63/db230170f4.jpg

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