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肠道细菌
Phascolarctobacterium /Phascolarctobacterium faecium 与2型糖尿病中代谢紊乱的关联分析Correlation between intestinal bacteria
Phascolarctobacterium /Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus- 陆军军医大学学报 2024年46卷第13期 页码：1561-1568
- 作者机构：
610072 成都，成都中医药大学附属医院检验科
- 作者简介：
[ 熊大迁，E-mail：705006714@qq.com XIONG Daqian, E-mail: 705006714@qq.com
- 基金信息：四川省科技计划项目重点研发项目(2020YFS0375);成都中医药大学杏林学者项目-苗圃人才专项(MPRC2023025)
DOI：10.16016/j.2097-0927.202310036
中图分类号： R364.2;R378.2;R587.1收稿：2023-10-10，
修回：2024-01-04，
纸质出版：2024-07-15
- 稿件说明：
移动端阅览
李莉莎, 熊大迁. 肠道细菌
Phascolarctobacterium /Phascolarctobacterium faecium 与2型糖尿病中代谢紊乱的关联分析[J]. 陆军军医大学学报, 2024,46(13):1561-1568.Lisha LI, Daqian XIONG. Correlation between intestinal bacteria
Phascolarctobacterium /Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus[J]. Journal of Army Medical University, 2024, 46(13): 1561-1568.李莉莎, 熊大迁. 肠道细菌
Phascolarctobacterium /Phascolarctobacterium faecium 与2型糖尿病中代谢紊乱的关联分析[J]. 陆军军医大学学报, 2024,46(13):1561-1568. DOI： 10.16016/j.2097-0927.202310036.Lisha LI, Daqian XIONG. Correlation between intestinal bacteria
Phascolarctobacterium /Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus[J]. Journal of Army Medical University, 2024, 46(13): 1561-1568. DOI： 10.16016/j.2097-0927.202310036.
摘要
目的
2
寻找新发2型糖尿病(type 2 diabetes mellitus
T2DM) 中的差异菌群，并初步评估差异核心菌群在疾病代谢紊乱中的重要作用。
方法
2
选取2020年9-11月在成都中医药大学附属医院内分泌科就诊的30名T2DM患者与体检中心的30名健康者为研究对象，构成T2DM组与对照组(NC组)。收集2组志愿者的血液标本和粪便标本，血液标本用于葡萄糖、胰岛素和血脂类指标的检测，粪便标本用于肠道菌群的16SrRNA检测，之后结合生物信息学分析、Pearson相关性分析等统计学方法，对不同组间的T2DM血液指标和差异菌种进行分析；使用RT-qPCR验证前期小RNA谱筛选结果，并将筛选的差异菌与早期实验的脂质代谢组、miRNAs谱基因组数据进行多组学关联分析，构建多参数的ROC曲线模型。
结果
2
T2DM具有特异性的肠道菌群特征，考拉杆菌属(
Phascolarctobacterium
)与粪考拉杆菌(
Phascolarctobacterium faecium
P.faecium
)在患病前后差异具有统计学意义。Pearson相关性分析提示，
P.faecium
与高密度脂蛋白(high-density lipoprotein
HDL)(
r
=-0.78
P
<
0.001)、低密度脂蛋白(low-density lipoprotein
LDL)(
r
=-0.89
P
<
0.001)、胰岛素(
r
=-0.71
P
<
0.01)具有较强的负相关性。
Phascolarctobacterium
则与胰岛素(
r
=-0.67
P
<
0.001)、体质量指数(body mass index
BMI) (
r
=-0.64
P
<
0.001)具有一定的负相关性，所构建的基于
Phascolarctobacterium
/
P.faecium
、脂肪酸α-linolenic acid、
miR
-122-5
p
的联合指标的ROC曲线模型，能够比较准确地将T2DM患者与健康者区分，曲线下面积(area under curve
AUC)分别为0.928 (
P
=0.001) 与0.934 (
P
<
0.001)。
结论
2
T2DM患者具有特异性的肠道菌群分布，其中，
Phascolarctobacterium
菌属和
P.faecium
菌与疾病的代谢紊乱密切相关，两类细菌理论上可作为T2DM的核心菌。
Abstract
Objective
2
To explore the differential microbiota in patients with newly diagnosed type 2 diabetes mellitus (T2DM)
and to preliminarily evaluate the importance of the differential core microbiota in the metabolic disorder.
Methods
2
A total of 30 T2DM patients who were treated at the Endocrinology Department of our hospital from September to November 2020
and 30 healthy individuals taking physical examination during the same period were enrolled and assigned into the T2DM group and the control group
respectively. Their blood and fecal samples were collected for the detection of glucose
insulin
and lipid indicators levels and for gut microbiota using 16SrRNA
respectively. Subsequently
bioinformatics analysis
Pearson correlation analysis
and other statistical methods were applied to analyze the differences in T2DM blood indicators and specific bacterial species between the 2 groups. RT-qPCR was used to verify the screening results of small RNA profiles. Then a multi-parameter receiver operating characteristic (ROC) curve model was constructed based on the results of correlation analysis including microbiome
lipid metabolome and miRNAs spectrum genomic detection data of early research.
Results
2
T2DM showed specific characteristics of intestinal microbiota
with
Phascolarctobacterium
and
Phascolarctobacterium. faecium
(
P. faecium
) showing significant differences before and after the onset of the disease. Pearson correlation analysis suggested that
P. faecium
was negatively correlated with high-density lipoprotein (HDL) (
r
=-0.78
P
<
0.001)
low-density lipoprotein (LDL) (
r
=-0.89
P
<
0.001)
and insulin (
r
=-0.71
P
<
0.001). While
Phascolarctobacterium
was negatively correlated with insulin (
r
=-0.67
P
<
0.001) and body mass index (BMI) (
r
=-0.64
P
<
0.001). The ROC curve model based on
Phascolarctobacterium
/
P. faecium
α-linolenic acid
and miR-122-5p could accurately distinguish between T2DM patients and healthy individuals
with a value of area under the curve of 0.928 (
P
=0.0001) and 0.934 (
P
<
0.0001)
which suggesting core values of 2 types
of bacteria in the disease.
Conclusion
2
T2DM patients have specific gut microbiota distribution
in which
Phascolarctobacterium
and
P. faecium
are closely associated with metabolic disorders of the disease. The 2 types of bacteria can be regarded as core bacteria for T2DM.
关键词
Keywords
references
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