Alterations of Urinary Microbiota in Type 2 Diabetes Mellitus with Hypertension and/or Hyperlipidemia

被引:28
作者
Liu, Fengping [1 ,2 ,3 ,4 ]
Ling, Zongxin [1 ,3 ]
Xiao, Yonghong [1 ,3 ]
Yang, Qing [3 ]
Wang, Baohong [1 ,3 ]
Zheng, Li [4 ]
Jiang, Ping [4 ]
Li, Lanjuan [1 ,3 ]
Wang, Wei [4 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Sch Med, State Key Lab Diag & Treatment Infect Dis, Hangzhou, Zhejiang, Peoples R China
[2] Yancheng Med Coll, Sch Nursing, Yancheng, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Collaborat Innovat Ctr Diag & Treatment Infect Di, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Urol, Hangzhou, Zhejiang, Peoples R China
关键词
type 2 diabetes mellitus; hypertension; hyperlipidemia; Lactobacillus; Proteobacteria; urinary microbiota; RISK-FACTORS; ASYMPTOMATIC BACTERIURIA; TRACT-INFECTION; GUT MICROBIOTA; 16S RDNA; ASSOCIATION; PREVALENCE; INCONTINENCE; CHALLENGE; EXCRETION;
D O I
10.3389/fphys.2017.00126
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Evidence shows urine specimens from different women have different populations of bacteria. The co-occurrence of hypertension and hyperlipidemia in those with diabetes may alter the composition of urine and the microenviroment of the bladder in which bacteria live. The aim of this study was to characterize the urinary microbiota in women with type 2 diabetes mellitus only and those with diabetes plus hypertension and/or hyperlipidemia, and to explore whether the composition of the urinary microbiota is affected by fasting blood glucose, blood pressure, and blood lipids. We enrolled 28 individuals with diabetes only, 24 with diabetes plus hypertension, 7 with diabetes plus hyperlipidemia, and 11 with diabetes plus both hypertension and hyperlipidemia. Modified midstream urine collection technique was designed to obtain urine specimens. Bacterial genomic DNA was isolated using magnetic beads and the urinary microbiota was analyzed using the Illumina MiSeq Sequencing System based on the V3-V4 hypervariable regions of the 16S rRNA gene. Among the four cohorts, the diabetes plus hypertension cohort had the highest relative abundance of Proteobacteria. In contrast, the diabetes plus hyperlipidemia cohort had the lowest relative abundance of Proteobacteria. In addition, Escherichia and Gardnerella were not found in the diabetes plus hyperlipidemia cohort but they were found in all of the other cohorts. Cetobacterium was only present in the diabetes plus hypertension cohort. The most abundant bacteria in the diabetes only and diabetes plus hyperlipidemia cohorts was Lactobacillus, while Prevotella was the most abundant bacteria in the diabetes plus hypertension and diabetes plus hypertension and hyperlipidemia cohorts. Moreover, the relative abundance of Lactobacillus was significantly lower in the diabetes plus hypertension cohort than in the diabetes only and diabetes plus hyperlipidemia cohorts. Several bacteria were correlated with the participants' fasting blood glucose, blood pressure, and blood lipids. In conclusion, hypertension and/or hyperlipidemia and other patient factors can affect the composition of the urinary microbiota in those with diabetes. The insights from this study could be used to develop microbiota-based treatment for comorbid conditions, including urinary tract infections, in those with diabetes.
引用
收藏
页数:11
相关论文
共 55 条
[1]   Prevalence of urinary tract infection and risk factors among Saudi patients with diabetes [J].
Al-Rubeaan, Khalid A. ;
Moharram, Osama ;
Al-Naqeb, Dekra ;
Hassan, Asim ;
Rafiullah, M. R. M. .
WORLD JOURNAL OF UROLOGY, 2013, 31 (03) :573-578
[2]   Microalbuminuria in Type 2 Diabetes and Hypertension A marker, treatment target, or innocent bystander? [J].
Basi, Seema ;
Fesler, Pierre ;
Mimran, Albert ;
Lewis, Julia B. .
DIABETES CARE, 2008, 31 :S194-S201
[3]   Role of gut microflora in the development of obesity and insulin resistance following high-fat diet feeding [J].
Cani, P. D. ;
Delzenne, N. M. ;
Amar, J. ;
Burcelin, R. .
PATHOLOGIE BIOLOGIE, 2008, 56 (05) :305-309
[4]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[5]  
Casqueiro Juliana, 2012, Indian J Endocrinol Metab, V16 Suppl 1, pS27, DOI 10.4103/2230-8210.94253
[6]  
Chen CY, 2017, J NURS RES, V25, P120, DOI [10.1097/jnr.0000000000000141, 10.1097/JNR.0000000000000141]
[7]   The effect of Lactobacillus rhamnosus hsryfm 1301 on the intestinal microbiota of a hyperlipidemic rat model [J].
Chen, Dawei ;
Yang, Zhenquan ;
Chen, Xia ;
Huang, Yujun ;
Yin, Boxing ;
Guo, Feixiang ;
Zhao, Haiqing ;
Zhao, Tangyan ;
Qu, Henxian ;
Huang, Jiadi ;
Wu, Yun ;
Gu, Ruixia .
BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2014, 14 :1-9
[8]   Hyperlipidemia causes changes in inflammatory responses to periodontal pathogen challenge: Implications in acute and chronic infections [J].
Chen, Shuai ;
Lin, Gengbing ;
You, Xiaoqing ;
Lei, Lang ;
Li, Yanfen ;
Lin, Minkun ;
Luo, Kai ;
Yan, Fuhua .
ARCHIVES OF ORAL BIOLOGY, 2014, 59 (10) :1075-1084
[9]   Prevalence of diabetes, obesity, hypertension and hyperlipidemia in the central area of Argentina [J].
de Sereday, MS ;
Gonzalez, C ;
Giorgini, D ;
De Loredo, L ;
Braguinsky, J ;
Cobeñas, C ;
Libman, C ;
Tesone, C .
DIABETES & METABOLISM, 2004, 30 (04) :335-339
[10]   Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB [J].
DeSantis, T. Z. ;
Hugenholtz, P. ;
Larsen, N. ;
Rojas, M. ;
Brodie, E. L. ;
Keller, K. ;
Huber, T. ;
Dalevi, D. ;
Hu, P. ;
Andersen, G. L. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (07) :5069-5072