Correlation between intestinal bacteria Phascolarctobacterium/Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus
Clinical Medicine|更新时间:2026-01-09
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Correlation between intestinal bacteria Phascolarctobacterium/Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus
Journal of Army Medical UniversityVol. 46, Issue 13, Pages: 1561-1568(2024)
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:
基金信息:
the Key Research and Development Project of Science and Technology Plan of Sichuan Province(2020YFS0375);the Special Project for Nursery Talents of Xinglin Scholars Program From Chengdu University of Traditional Chinese Medicine(MPRC2023025)
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:
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.
Correlation between intestinal bacteria Phascolarctobacterium/Phascolarctobacterium faecium and metabolic disorder in patients with type 2 diabetes mellitus
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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