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本文引用的文献

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Perturbation of the gut microbiome by Prevotella spp. enhances host susceptibility to mucosal inflammation.Prevotella 属细菌对肠道微生物组的扰动会增强宿主对黏膜炎症的易感性。
Mucosal Immunol. 2021 Jan;14(1):113-124. doi: 10.1038/s41385-020-0296-4. Epub 2020 May 20.
2
Dietary flaxseed oil rich in omega-3 suppresses severity of type 2 diabetes mellitus via anti-inflammation and modulating gut microbiota in rats.富含欧米伽-3 的亚麻籽油通过抗炎和调节大鼠肠道微生物群来抑制 2 型糖尿病的严重程度。
Lipids Health Dis. 2020 Feb 7;19(1):20. doi: 10.1186/s12944-019-1167-4.
3
TwinsUK: The UK Adult Twin Registry Update.英国双胞胎登记库(TwinsUK):英国成人双胞胎登记库更新
Twin Res Hum Genet. 2019 Dec;22(6):523-529. doi: 10.1017/thg.2019.65. Epub 2019 Sep 17.
4
Gut microbiome and its role in obesity and insulin resistance.肠道微生物组及其在肥胖和胰岛素抵抗中的作用。
Ann N Y Acad Sci. 2020 Feb;1461(1):37-52. doi: 10.1111/nyas.14107. Epub 2019 May 14.
5
The obesity transition: stages of the global epidemic.肥胖流行的转变:全球流行阶段。
Lancet Diabetes Endocrinol. 2019 Mar;7(3):231-240. doi: 10.1016/S2213-8587(19)30026-9. Epub 2019 Jan 28.
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Gut Microbiota Differs in Composition and Functionality Between Children With Type 1 Diabetes and MODY2 and Healthy Control Subjects: A Case-Control Study.1 型糖尿病和 MODY2 患儿与健康对照儿童的肠道微生物群在组成和功能上存在差异:一项病例对照研究。
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Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium.微生物组质量控制(MBQC)项目联盟对微生物群落扩增子测序变异的评估。
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9
Detection of Increased Plasma Interleukin-6 Levels and Prevalence of and in the Feces of Type 2 Diabetes Patients.2型糖尿病患者血浆白细胞介素-6水平升高及粪便中[具体内容缺失]的检测与患病率
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10
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代谢健康标志物和肠道微生物多样性:两项基于人群的队列研究结果。

Markers of metabolic health and gut microbiome diversity: findings from two population-based cohort studies.

机构信息

Section of Nutrition and Metabolism, International Agency for Research on Cancer-WHO, Lyon, France.

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.

出版信息

Diabetologia. 2021 Aug;64(8):1749-1759. doi: 10.1007/s00125-021-05464-w. Epub 2021 Jun 10.

DOI:10.1007/s00125-021-05464-w
PMID:34110438
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8245388/
Abstract

AIMS/HYPOTHESIS: The gut microbiome is hypothesised to be related to insulin resistance and other metabolic variables. However, data from population-based studies are limited. We investigated associations between serologic measures of metabolic health and the gut microbiome in the Northern Finland Birth Cohort 1966 (NFBC1966) and the TwinsUK cohort.

METHODS

Among 506 individuals from the NFBC1966 with available faecal microbiome (16S rRNA gene sequence) data, we estimated associations between gut microbiome diversity metrics and serologic levels of HOMA for insulin resistance (HOMA-IR), HbA and C-reactive protein (CRP) using multivariable linear regression models adjusted for sex, smoking status and BMI. Associations between gut microbiome diversity measures and HOMA-IR and CRP were replicated in 1140 adult participants from TwinsUK, with available faecal microbiome (16S rRNA gene sequence) data. For both cohorts, we used general linear models with a quasi-Poisson distribution and Microbiome Regression-based Kernel Association Test (MiRKAT) to estimate associations of metabolic variables with alpha- and beta diversity metrics, respectively, and generalised additive models for location scale and shape (GAMLSS) fitted with the zero-inflated beta distribution to identify taxa associated with the metabolic markers.

RESULTS

In NFBC1966, alpha diversity was lower in individuals with higher HOMA-IR with a mean of 74.4 (95% CI 70.7, 78.3) amplicon sequence variants (ASVs) for the first quartile of HOMA-IR and 66.6 (95% CI 62.9, 70.4) for the fourth quartile of HOMA-IR. Alpha diversity was also lower with higher HbA (number of ASVs and Shannon's diversity, p < 0.001 and p = 0.003, respectively) and higher CRP (number of ASVs, p = 0.025), even after adjustment for BMI and other potential confounders. In TwinsUK, alpha diversity measures were also lower among participants with higher measures of HOMA-IR and CRP. When considering beta diversity measures, we found that microbial community profiles were associated with HOMA-IR in NFBC1966 and TwinsUK, using multivariate MiRKAT models, with binomial deviance dissimilarity p values of <0.001. In GAMLSS models, the relative abundances of individual genera Prevotella and Blautia were associated with HOMA-IR in both cohorts.

CONCLUSIONS/INTERPRETATION: Overall, higher levels of HOMA-IR, CRP and HbA were associated with lower microbiome diversity in both the NFBC1966 and TwinsUK cohorts, even after adjustment for BMI and other variables. These results from two distinct population-based cohorts provide evidence for an association between metabolic variables and gut microbial diversity. Further experimental and mechanistic insights are now needed to provide understanding of the potential causal mechanisms that may link the gut microbiota with metabolic health.

摘要

目的/假设:肠道微生物群被认为与胰岛素抵抗和其他代谢变量有关。然而,基于人群的研究数据有限。我们研究了在北芬兰出生队列 1966 年(NFBC1966)和英国双胞胎队列中代谢健康的血清学测量值与肠道微生物组之间的关联。

方法

在 NFBC1966 中,有 506 名个体具有可用的粪便微生物组(16S rRNA 基因序列)数据,我们使用多变量线性回归模型,根据性别、吸烟状况和 BMI 调整了肠道微生物组多样性指标与血清学水平胰岛素抵抗(HOMA-IR)、HbA 和 C 反应蛋白(CRP)之间的关联。在 TwinsUK 中,有 1140 名成人参与者具有可用的粪便微生物组(16S rRNA 基因序列)数据,我们对 HOMA-IR 和 CRP 之间的肠道微生物组多样性测量值进行了复制。对于两个队列,我们使用具有拟泊松分布的广义线性模型和基于微生物组回归的核关联测试(MiRKAT)来分别估计代谢变量与 alpha 和 beta 多样性测量值之间的关联,并使用具有零膨胀 beta 分布的广义加性模型进行位置尺度和形状拟合(GAMLSS),以确定与代谢标志物相关的分类群。

结果

在 NFBC1966 中,HOMA-IR 较高的个体的 alpha 多样性较低,HOMA-IR 第一四分位数的平均 alpha 多样性为 74.4(95%CI 70.7,78.3)扩增子序列变体(ASVs),而 HOMA-IR 第四四分位数的平均 alpha 多样性为 66.6(95%CI 62.9,70.4)。HbA 较高(ASVs 的数量和 Shannon 的多样性,p<0.001 和 p=0.003)和 CRP 较高(ASVs 的数量,p=0.025)的个体 alpha 多样性也较低,即使在调整 BMI 和其他潜在混杂因素后也是如此。在 TwinsUK 中,alpha 多样性测量值在 HOMA-IR 和 CRP 较高的参与者中也较低。在考虑 beta 多样性测量值时,我们发现微生物群落特征与 NFBC1966 和 TwinsUK 中的 HOMA-IR 相关,使用多变量 MiRKAT 模型,二项式偏差差异 p 值<0.001。在 GAMLSS 模型中,个体属普雷沃氏菌和布劳特氏菌的相对丰度与两个队列中的 HOMA-IR 相关。

结论/解释:总体而言,HOMA-IR、CRP 和 HbA 水平较高与 NFBC1966 和 TwinsUK 队列中微生物组多样性较低有关,即使在调整 BMI 和其他变量后也是如此。这两个来自不同人群的队列的结果提供了代谢变量与肠道微生物多样性之间存在关联的证据。现在需要进一步的实验和机制见解,以提供对可能将肠道微生物群与代谢健康联系起来的潜在因果机制的理解。