State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310000, China.
School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Sci Rep. 2021 Jan 19;11(1):1824. doi: 10.1038/s41598-021-81507-x.
Type 2 diabetes mellitus (T2DM) influences the human health and can cause significant illnesses. The genitourinary microbiome profiles in the T2DM patients remain poorly understood. In the current study, a series of bioinformatic and statistical analyses were carried out to determine the multiple bacteria associated with the more dysbiotic genitourinary microbiomes (i.e., those with lower dysbiosis ratio) in T2DM patients, which were sequenced by Illumina-based 16S rRNA gene amplicon sequencing. All the genitourinary microbiomes from 70 patients with T2DM were clustered into three clusters of microbiome profiles, i.e., Cluster_1_T2DM, Cluster_2_T2DM and Cluster_3_T2DM, with Cluster_3_T2DM at the most dysbiotic genitourinary microbial status. The three clustered T2DM microbiomes were determined with different levels of alpha diversity indices, and driven by distinct urinalysis variables. OTU12_Clostridiales and OTU28_Oscillospira were likely to drive the T2DM microbiomes to more dysbiotic status, while OTU34_Finegoldia could play a vital role in maintaining the least dysbiotic T2DM microbiome (i.e., Cluster_1_T2DM). The functional metabolites K08300_ribonuclease E, K01223_6-phospho-beta-glucosidase and K00029_malate dehydrogenase (oxaloacetate-decarboxylating) (NADP+) were most associated with Cluster_1_T2DM, Cluster_2_T2DM and Cluster_3_T2DM, respectively. The characteristics and multiple bacteria associated with the more dysbiotic genitourinary microbiomes in T2DM patients may help with the better diagnosis and management of genitourinary dysbiosis in T2DM patients.
2 型糖尿病（T2DM）影响人类健康，并可导致严重疾病。T2DM 患者的泌尿生殖微生物组谱仍知之甚少。在本研究中，通过 Illumina 基于 16S rRNA 基因扩增子测序对 T2DM 患者进行了一系列生物信息学和统计分析，以确定与泌尿生殖微生物组更失调（即失调率较低）相关的多种细菌。从 70 例 T2DM 患者的所有泌尿生殖微生物组聚类为三种微生物组图谱簇，即 Cluster_1_T2DM、Cluster_2_T2DM 和 Cluster_3_T2DM，其中 Cluster_3_T2DM 处于最失调的泌尿生殖微生物状态。这三种聚类的 T2DM 微生物组具有不同水平的 alpha 多样性指数，并受不同的尿液变量驱动。OTU12_Clostridiales 和 OTU28_Oscillospira 可能将 T2DM 微生物组推向更失调的状态，而 OTU34_Finegoldia 可能在维持最失调的 T2DM 微生物组（即 Cluster_1_T2DM）方面发挥重要作用。功能代谢物 K08300_核糖核酸酶 E、K01223_6-磷酸-β-葡萄糖苷酶和 K00029_苹果酸脱氢酶（草酰乙酸脱羧酶）（NADP+）与 Cluster_1_T2DM、Cluster_2_T2DM 和 Cluster_3_T2DM 分别最相关。与 T2DM 患者更失调泌尿生殖微生物组相关的特征和多种细菌可能有助于更好地诊断和管理 T2DM 患者的泌尿生殖失调。
