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已发表论文
复发性草酸钙结石患者肠道菌群失调与血清及尿液生物标志物改变相关
Authors Zhang B, Li T, Qiang Z, Ma L, Kong X, Chen S
Received 26 June 2025
Accepted for publication 21 September 2025
Published 27 October 2025 Volume 2025:18 Pages 6497—6506
DOI https://doi.org/10.2147/IJGM.S549804
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Daniele Castellani
Baolin Zhang,1 Ting Li,2 Ziyang Qiang,1 Lan Ma,3 Xiangfeng Kong,1 Shuang Chen1
1Department of Urology, Qinghai University Affiliated Hospital, Xining, Qinghai, 810000, People’s Republic of China; 2School of Pharmacy, Medical College of Qinghai University, Xining, Qinghai, 810000, People’s Republic of China; 3Clinical Teaching and Research Section, Qinghai Health Vocational and Technical College, Xining, Qinghai, 810000, People’s Republic of China
Correspondence: Ziyang Qiang, Email regerbu@qq.com
Objective: To explore associations between gut microbiota composition, blood/urine biochemical markers, and recurrent calcium oxalate stones, identifying potential risk factors.
Methods: A retrospective study compared 88 patients (≥ 2 stone episodes, 2023– 2025) with 90 age/gender-matched controls. Fecal 16S rRNA sequencing assessed microbial diversity, alongside blood lipid profiles, creatinine, uric acid, and 24-hour urine analysis. Multivariate logistic regression identified independent predictors.
Results: Baseline demographics were comparable (P > 0.05). Patients exhibited higher Escherichia coli and Fusobacterium, lower Faecalibacterium and Lachnospira (P < 0.05). Elevated triglycerides, creatinine, reduced HDL-C, and lower urinary magnesium/citrate (P < 0.05) were observed. Spearman analysis linked E. coli abundance to higher creatinine (r = 0.598) and lower HDL-C (r = − 0.607), while Faecalibacterium inversely correlated with creatinine (r = − 0.624; all P < 0.05). Logistic regression identified E. coli abundance, serum creatinine, and urinary magnesium as independent recurrence risk factors (P < 0.05).
Conclusion: Gut microbiota dysbiosis correlates with metabolic and urinary abnormalities in recurrent stone formers. Monitoring E. coli levels and biochemical parameters may aid recurrence prediction.
Keywords: calcium oxalate nephrolithiasis, gut microbiota, biochemical indicators, hyperoxaluria, influencing factors
1Department of Urology, Qinghai University Affiliated Hospital, Xining, Qinghai, 810000, People’s Republic of China; 2School of Pharmacy, Medical College of Qinghai University, Xining, Qinghai, 810000, People’s Republic of China; 3Clinical Teaching and Research Section, Qinghai Health Vocational and Technical College, Xining, Qinghai, 810000, People’s Republic of China
Correspondence: Ziyang Qiang, Email regerbu@qq.com
Objective: To explore associations between gut microbiota composition, blood/urine biochemical markers, and recurrent calcium oxalate stones, identifying potential risk factors.
Methods: A retrospective study compared 88 patients (≥ 2 stone episodes, 2023– 2025) with 90 age/gender-matched controls. Fecal 16S rRNA sequencing assessed microbial diversity, alongside blood lipid profiles, creatinine, uric acid, and 24-hour urine analysis. Multivariate logistic regression identified independent predictors.
Results: Baseline demographics were comparable (P > 0.05). Patients exhibited higher Escherichia coli and Fusobacterium, lower Faecalibacterium and Lachnospira (P < 0.05). Elevated triglycerides, creatinine, reduced HDL-C, and lower urinary magnesium/citrate (P < 0.05) were observed. Spearman analysis linked E. coli abundance to higher creatinine (r = 0.598) and lower HDL-C (r = − 0.607), while Faecalibacterium inversely correlated with creatinine (r = − 0.624; all P < 0.05). Logistic regression identified E. coli abundance, serum creatinine, and urinary magnesium as independent recurrence risk factors (P < 0.05).
Conclusion: Gut microbiota dysbiosis correlates with metabolic and urinary abnormalities in recurrent stone formers. Monitoring E. coli levels and biochemical parameters may aid recurrence prediction.
Keywords: calcium oxalate nephrolithiasis, gut microbiota, biochemical indicators, hyperoxaluria, influencing factors