16S rRNA gene sequencing reveals altered composition of gut microbiota in individuals with kidney stones
- 707 Downloads
Nephrolithiasis is a common urological disease with high prevalence and recurrence rates. Characterizing gut microbiome profiles of nephrolithiasis patients may provide valuable insights and potential biomarkers for the disease. Therefore, we explored the relation between gut microbiome and nephrolithiasis using 16S ribosomal RNA (rRNA) gene sequencing. 13 patients with multiple kidney stones and 13 matched healthy controls were recruited. A decreasing trend in number of observed species in nephrolithiasis patients was detected, although statistical significance was not reached (p = 0.086). The inter-group variability in community structure by beta diversity analysis showed a clear separation between nephrolithiasis patients and healthy controls. Twenty genera differentiated significantly in relative abundance between nephrolithiasis patients and healthy controls (all p < 0.05). Among the 20 genera, Phascolarctobacterium, Parasutterella, Ruminiclostridium_5, Erysipelatoclostridium, Fusicatenibacter and Dorea were correlated with the concentration of the trace elements in blood, including potassium, sodium, calcium and chlorinum. Characteristic microbiome in nephrolithiasis patients was also identified by linear discriminant analysis effect size (LEfSe). These findings may provide novel and non-invasive potential diagnostic biomarkers for nephrolithiasis, and contribute to prevention and treatment of nephrolithiasis from the perspective of maintaining micro-ecological equilibrium in gut.
KeywordsNephrolithiasis Gut microbiota 16S rRNA Biomarker
This study was funded by Guangxi Natural Science Foundation under Grant no. 2016GXNSFBA380193, Guangxi Natural Science Fund for Innovation Research Team (2013GXNSFFA019002), Guangxi Collaborative Innovation Center for genomic and personalized medicine (201319), the Science and technology research project of Guangxi Higher Education (KY2015YB051), and Natural Science Foundation of China under Grant no. 81501284.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
- 17.Tang Z, Jiang S, Li J, Li X, Zhong M, Huang R, Li P, Zou A (2014) Correlation analysis between renal calculus and dietary factors in Gongcheng Yao ethnic group. J Clin Urology (China) 29(11):1018–1021 (In Chinese) Google Scholar
- 18.Tang Z, Jiang S, Li J, Li X, Zhong M, Huang R, Li P, Zou A (2015) Epidemiological survey of renal calculi in adult Yao population in Guangxi. Chin Gen Pract 18(14):1691–1694 (In Chinese) Google Scholar
- 19.Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7(5):335–336CrossRefGoogle Scholar
- 25.Xian X, Xie Y, Ye J, Tang R, Jiang Y, Yao Z (2016) Quantification of oxalate-degrading bacteria in the gut of kidney stone patients using real-time PCR. Genom Appl Biol 35(9):2222–2228 (In Chinese) Google Scholar
- 31.Cattaneo A, Cattane N, Galluzzi S, Provasi S, Lopizzo N, Festari C, Ferrari C, Guerra UP, Paghera B, Muscio C, Bianchetti A, Volta GD, Turla M, Cotelli MS, Gennuso M, Prelle A, Zanetti O, Lussignoli G, Mirabile D, Bellandi D, Gentile S, Belotti G, Villani D, Harach T, Bolmont T, Padovani A, Boccardi M, Frisoni GB (2017) Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol Aging 49:60–68CrossRefGoogle Scholar