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Urolithiasis

, Volume 46, Issue 6, pp 503–514 | Cite as

16S rRNA gene sequencing reveals altered composition of gut microbiota in individuals with kidney stones

  • Ruiqiang Tang
  • Yonghua Jiang
  • Aihua Tan
  • Juan Ye
  • Xiaoying Xian
  • Yuanliang Xie
  • Qiuyan Wang
  • Ziting Yao
  • Zengnan Mo
Original Paper

Abstract

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.

Keywords

Nephrolithiasis Gut microbiota 16S rRNA Biomarker 

Notes

Funding

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.

Ethical approval

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

Informed consent was obtained from all individual participants included in the study.

Supplementary material

240_2018_1037_MOESM1_ESM.docx (15 kb)
Supplementary material 1 (DOCX 14 KB)
240_2018_1037_MOESM2_ESM.tif (460 kb)
Figure S1: Rarefaction curves. A Rarefaction curves of Shannon index for the microbiota of KS group and HC group. B Rarefaction curves of observed species of KS group (blue lines) and HC group (red lines) (TIF 459 KB)
240_2018_1037_MOESM3_ESM.tif (143 kb)
Figure S2: Receiver operating characteristic (ROC) curve of the species with LDA score > 4 from the LEfSe results. ROC for Pseudomonas aeruginosa, AUC = 0.947; ROC for Escherichia coli, AUC = 0.870 (TIF 142 KB)
240_2018_1037_MOESM4_ESM.xlsx (393 kb)
Supplementary material 4 (XLSX 392 KB)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Ruiqiang Tang
    • 1
    • 2
    • 3
  • Yonghua Jiang
    • 1
    • 2
    • 3
  • Aihua Tan
    • 1
    • 4
  • Juan Ye
    • 1
    • 2
    • 3
  • Xiaoying Xian
    • 1
    • 2
    • 3
  • Yuanliang Xie
    • 1
    • 2
    • 3
  • Qiuyan Wang
    • 1
    • 2
    • 3
  • Ziting Yao
    • 1
    • 2
    • 3
  • Zengnan Mo
    • 1
    • 2
    • 3
    • 5
  1. 1.Center for Genomic and Personalized MedicineGuangxi Medical UniversityNanningChina
  2. 2.Guangxi Key Laboratory of Genomic and Personalized MedicineNanningChina
  3. 3.Guangxi Collaborative Innovation Center for Genomic and Personalized MedicineNanningChina
  4. 4.Department of ChemotherapyThe Affiliated Tumor Hospital of Guangxi Medical UniversityNanningChina
  5. 5.Institute of Urology and NephrologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina

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