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

• Published in: Urolithiasis Vol. 46; no. 6; pp. 503 - 514
• Main Authors: Tang, Ruiqiang, Jiang, Yonghua, Tan, Aihua, Ye, Juan, Xian, Xiaoying, Xie, Yuanliang, Wang, Qiuyan, Yao, Ziting, Mo, Zengnan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2018; Springer Nature B.V
• Subjects: Biomarkers; Biomarkers - analysis; Case-Control Studies; Discriminant analysis; Dysbiosis - blood; Dysbiosis - diagnosis; Dysbiosis - microbiology; Female; Gastrointestinal Microbiome - genetics; Humans; Kidney Calculi - blood; Kidney Calculi - microbiology; Kidney Calculi - prevention & control; Kidney stones; Male; Medical Biochemistry; Medicine; Medicine & Public Health; Middle Aged; Nephrology; Original Paper; RNA, Bacterial - isolation & purification; RNA, Ribosomal, 16S - isolation & purification; Sequence Analysis, DNA; Urology; Gut microbiota; 16S rRNA; Biomarker; Nephrolithiasis
• ISSN: 2194-7228; 2194-7236
• DOI: 10.1007/s00240-018-1037-y

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.