Alterations in urinary microbiota composition in urolithiasis patients: insights from 16S rRNA gene sequencing.

Objectives: To investigate the urinary microbiota composition in urolithiasis patients compared to healthy controls and to identify potential microbial markers and their association with clinical parameters. Methods: A total of 66 samples, comprising 45 from urolithiasis patients and 21 from healthy controls, were analyzed. 16S rRNA gene sequencing was employed to determine the microbiota composition. Various statistical and bioinformatics tools, including ANOVA, PCoA, and LEfSe, were utilized to analyze the sequencing data and identify significant differences in microbial abundance. Results: No significant demographic differences were observed between the two groups. Post-quality control, clean tags ranged from 60,979 to 68,736. Significant differences in α-diversity were observed between the two groups. ß-diversity analysis revealed distinct clustering of the urinary microbiota in urolithiasis patients and controls. Notably, Ruminococcaceae was predominant in urolithiasis samples, while Proteobacteria was more prevalent in healthy samples. Lactobacillus was significantly overrepresented in samples from healthy females. Conclusion: The urinary microbiota composition in urolithiasis patients is distinct from that of healthy controls. Specific microbial taxa, such as Ruminococcaceae and Proteobacteria, could serve as potential biomarkers for urolithiasis. The findings pave the way for further exploration of the role of microbiota in urolithiasis and the development of microbiome-based therapeutic strategies.

Nomogram for predicting risk factors of fever in patients with negative preoperative urine culture after retrograde intrarenal surgery.

PURPOSE: To determine the risk factors for postoperative fever after retrograde intrarenal surgery (RIRS) in patients with negative preoperative urine culture (UC), and to establish a nomogram for predicting postoperative fever based on these risk factors. METHODS: This study collected 322 patients with negative UC who received RIRS at the First Affiliated Hospital of Anhui Medical University from March 2019 to May 2022. The study population was divided into a fever group and a non-fever group. The risk factors of postoperative fever were determined by univariate and multivariate logistic regression analyses, and a nomogram was established. The nomogram was evaluated in terms of differentiation, calibration, and clinical practicability. RESULTS: In this study, 47 (14.6%) patients developed a fever after surgery. Multivariate logistic regression analysis showed that for patients with negative preoperative urine culture, urinary leucocyte esterase (P = 0.005), operative time (P = 0.019), and intraoperative hypotension (P = 0.028) were independent risk factors of postoperative fever, and a nomogram was constructed according to the above variables. The area under the curve (AUC) calculated by receiver operating characteristic (ROC) analysis was 0.807 (95% CI 0.739-0.876), indicating good discrimination. The calibration curves showed good consistency, and the clinical decision curve analysis (DCA) showed the clinical applicability of the model. CONCLUSIONS: For patients with negative preoperative urine culture, urine leukocyte esterase, operative time, and intraoperative hypotension are independent risk factors of postoperative fever. The new nomogram can better assess the risk of infection in patients with negative UC after RIRS.

NEAT1 Regulates Calcium Oxalate Crystal-Induced Renal Tubular Oxidative Injury via miR-130/IRF1.

Aims: Calcium oxalate (CaOx) crystal deposition induces damage to the renal tubular epithelium, increases epithelial adhesion, and contributes to CaOx nephrocalcinosis. The long noncoding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1) is thought to be involved in this process. In this study, we aimed to investigate the mechanism by which NEAT1 regulates renal tubular epithelium in response to inflammatory and oxidative injury triggered by CaOx crystals. Results: As CaOx crystals were deposited in mouse kidney tissue, the expression of NEAT1 was significantly elevated and positively correlated with interferon regulatory factor 1 (IRF1), Toll-like receptor 4 (TLR4), and NF-κB. NEAT1 targets and inhibits miR-130a-3p as a competitor to endogenous RNA. miR-130 binds to and exerts inhibitory effects on the 3'-untranslated region of IRF1. After transfected with silence-NEAT1, IRF1, TLR4, and NF-κB were also variously inhibited, and oxidative damage in renal calcinosis was subsequently attenuated. When we simultaneously inhibited NEAT1 and miR-130, renal tubular injury was exacerbated. Innovation and Conclusion: We found that the lncRNA NEAT1 can enhance IRF1 signaling through targeted repression of miR-130a-3p and activate TLR4/NF-κB pathways to promote oxidative damage during CaOx crystal deposition. This provides an explanation for the tubular epithelial damage caused by CaOx crystals and offers new ideas and drug targets for the prevention and treatment of CaOx nephrocalcinosis. Antioxid. Redox Signal. 38, 731-746.

Effects of alternative splicing events and transcriptome changes on kidney stone formation.

During the development of urinary stone disease, the formation of tiny crystals that adhere to the renal tubular epithelium induces epithelial cell damage. This damage and repair of the epithelium is associated with the establishment of more crystal adhesion sites, which in turn stimulates further crystal adhesion and, eventually, stone formation. Deposited crystals typically cause changes in epithelial cell gene expression, such as transcriptome changes and alternative splicing events. Although considered important for regulating gene expression, alternative splicing has not been reported in studies related to kidney stones. To date, whether alternative splicing events are involved in the regulation of stone formation and whether crystallographic cell interactions are regulated by alternative splicing at the transcriptional level have remained unknown. Therefore, we conducted RNA sequencing and alternative splicing-related bioassays by modeling the in vitro stone environment. Many alternative splicing events were associated with crystallographic cell interactions. Moreover, these events regulated transcription and significantly affected the capacity of crystals to adhere to renal tubular epithelial cells and regulate apoptosis.