ArticleUrolithiasis2024
Species-level characterization of gut microbiota and their metabolic role in kidney stone formation using full-length 16S rRNA sequencing.
Article in Urolithiasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Gut Microbiota-Isoallolithocholic Acid Crosstalk Promotes Calcium Oxalate Kidney Stone Formation via PARP1-Mediated Parthanatos.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- CAM-Net: a context-aware network for identifying reliable microbial relations via optimal consortium.Briefings in bioinformatics · 2026Article
- [Reduced intestinal abundance ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- Body mass index mediates the association between the dietary index for gut microbiota and kidney stones: a cross-sectional study.BMC public health · 2025Article
- Deciphering Bacterial Community Succession and Pathogen Dynamics in ICU Ventilator Circuits Through Full-Length 16S rRNA Sequencing for Mitigating the Risk of Nosocomial Infections.Microorganisms · 2025Article
- Unraveling the gut-immune-kidney axis in kidney stone disease: a two-step Mendelian randomization investigation.Urolithiasis · 2025Article
- Characterization of gut microbiome dysbiosis in calcium oxalate stone patients with comorbid metabolic syndrome.Frontiers in microbiology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
The critical role of the human gut microbiota in kidney stone formation remains largely unknown, due to the low taxonomic resolution of previous sequencing technologies. Therefore, this study aimed to explore the gut microbiota using high-throughput sequencing to provide valuable insights and identify potential bacterial species and metabolite roles involved in kidney stone formation. The overall gut bacterial community and its potential functions in healthy participants and patients were examined using PacBio sequencing targeting the full-length 16S rRNA gene, coupled with stone and statistical analyses. Most kidney stones comprised calcium oxalate and calcium phosphate (75%), pure calcium oxalate (20%), and calcium phosphate and magnesium phosphate (5%), with higher content of Ca (130,510.5 ± 108,362.7 ppm) followed by P (18,746.4 ± 23,341.2 ppm). The microbial community structure was found to be weaker in patients' kidney stone samples, followed by patients' stool samples, than in healthy participants' stool samples. The most abundant bacterial species in kidney stone samples was uncultured Morganella, whereas that in patient and healthy participant stool samples was Bacteroides vulgatus. Similarly, Akkermansia muciniphila was significantly enriched in patient stool samples at the species level, whereas Bacteroides plebeius was significantly enriched in kidney stone samples than that in healthy participant stool samples. Three microbial metabolic pathways, TCA cycle, fatty acid oxidation, and urea cycle, were significantly enriched in kidney stone patients compared to healthy participants. Inferring bacteria at the species level revealed key players in kidney stone formation, enhancing the clinical relevance of gut microbiota.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.