Gut Microbiome-Based Diagnostic Model to Predict Diabetes Mellitus.
Gut Microbiome-Based Diagnostic Model to Predict Diabetes Mellitus.
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基于肠道微生物组的诊断模型来预测糖尿病
DOI：
10.1080/21655979.2021.2009752
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发表时间：
2021-12
期刊：
影响因子：
4.9
通讯作者：
Xie X
中科院分区：
文献类型：
--
作者：
Yang HT;Liu JK;Xiu WJ;Tian TT;Yang Y;Hou XG;Xie X
摘要本研究的目的是确定糖尿病患者和健康受试者肠道微植物群的多样性及其与临床参数的相关性，并评估肠道植物群在糖尿病患者中的重要性。纳入44例糖尿病患者。对照组为47例健康体检者。收集他们的数据，生化指标和粪便样品的16 S rRNA测序结果。与健康人群相比，糖尿病患者肠道植物群明显异常。在糖尿病组中，粪杆菌属、普氏菌属和罗斯拜瑞氏菌属的丰度较高，志贺氏菌属和双歧杆菌属的丰度较低。在细菌与临床指标的相关性分析中，发现韦荣氏球菌属和未分类的肠杆菌科与血糖呈负相关，而相乳杆菌属、未分类的拟杆菌目和普雷沃氏菌属与空腹血糖呈显著正相关。随机森林模型共检测到12种微生物标记物，曲线下面积（AUC）为84.1%。该指标的诊断作用大于空腹血糖。微生物和临床指标联合诊断模型也支持这一点。此外，肠道植物群明显改善了糖尿病的诊断。总之，从这些结果可以得出结论，肠道植物群对于糖尿病的发生和发展是必不可少的，这似乎与血糖本身一样重要。缩略语：产品检验报告：主坐标分析; NMDS：非计量经济学多维尺度分析; LEfSe：线性判别分析效应量; LDA：线性判别分析; POD：疾病概率; BMI：体重指数; DCA：决策曲线分析
ABSTRACT The aim of this study was to determine the diversity of intestinal microflora and its correlation with clinical parameters in diabetic patients and healthy subjects and to assess the importance of intestinal flora in patients with diabetes. Forty-four patients with diabetes were included. The control group included 47 healthy people. Their data, biochemical indicators and results from 16S rRNA sequencing of their fecal samples were collected. Compared with the healthy population, the intestinal flora of the diabetic patients was obviously abnormal. Within the diabetes group, the abundances of the genera Faecalibacterium, Prevotella, and Roseburia were higher, and the abundances of the genera Shigella and Bifidobacterium were lower. In the correlation analysis between bacteria and clinical indicators, it was found that the genera Veillonella and unclassified_Enterobacteriaceae were negatively related to blood glucose, while the genera Phascolarctobacterium, unidentified_Bacteroidales and Prevotella were significantly positively correlated with fasting blood glucose. Twelve microbial markers were detected in the random forest model, and the area under the curve (AUC) was 84.1%. This index was greater than the diagnostic effect of fasting blood glucose. This was also supported by the joint diagnostic model of microorganisms and clinical indicators. In addition, the intestinal flora significantly improved the diagnosis of diabetes. In conclusion, it can be concluded from these results that intestinal flora is essential for the occurrence and development of diabetes, which seems to be as important as blood glucose itself. Abbreviations: PCoA: principal coordinate analysis; NMDS: non econometric multidimensional scaling analysis; LEfSe: linear discriminant analysis effect size; LDA: linear discriminant analysis; POD: probability of disease; BMI: body mass index; DCA: decision curve analysis
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影响因子：
64.8
作者：
通讯作者：
--
玉米赤霉烯酮改变断奶兔盲肠微生物群的多样性和组成
影响因子：
--
作者：
Li P;Yang S;Zhang X;Huang S;Wang N;Wang M;Long M;He J
通讯作者：
He J
影响因子：
5.9
作者：
FAITH, DP
通讯作者：
FAITH, DP
肠道微生物组和代谢随冠状动脉疾病严重程度的变化
影响因子：
15.5
作者：
Liu, Honghong;Chen, Xi;Zhang, Chenhong
通讯作者：
Zhang, Chenhong
影响因子：
8.1
作者：
He, Mengxue;Tan, Chin-Ping;Liu, Yuanfa
通讯作者：
Liu, Yuanfa