Evidence map›Paper›PMID 42260340›Full record

ArticleBMC microbiology2026

Study on metabolic differences and microbiota distribution in patients with infection-induced kidney stones by gender.

Endi Zhang, Zhichao Chi, Xuming Zhang, Jianxing Li, Chaoyue Ji, Weiguo Hu

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Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Endi ZhangDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
Zhichao ChiDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
Xuming ZhangDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
Jianxing LiDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
Chaoyue JiDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China. jcya02468@btch.edu.cn.
Weiguo HuDepartment of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China. weiguohu2024@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate the distribution patterns of microbiota and stone composition in patients with infection-induced stones across different genders, and to elucidate the differences between stone composition and metabolism.

methodsClinical data from 355 patients with infection stones (confirmed by postoperative stone composition analysis) who were hospitalized and treated at our center from January 2016 to December 2023 were retrospectively analyzed. The collected data included preoperative mid-stream urine culture results, serum biochemical parameters, 24-hour urinary metabolic indices, and postoperative stone composition analysis. The patients were divided into two groups based on gender to analyze the distribution of stone composition and microbiota. Metabolic differences between the groups were assessed based on blood biochemical markers and 24-hour urinary metabolic test results.

resultsOf the 355 cases, struvite-carbonate apatite mixed stones were most frequent overall and in females (P < 0.05), while pure struvite stones dominated in males (P < 0.05). Microbiota distribution showed E. coli was most common in females and P. aeruginosa in males (P < 0.05). Females had significantly higher serum phosphorus, chlorine, and eGFR (P < 0.05), whereas males had higher blood urea nitrogen, creatinine, and uric acid (P < 0.05). Additionally, 24-hour urinary phosphorus, chlorine, and sodium excretions were greater in males (P < 0.05).

conclusionThis study found significant gender differences in the microbial distribution, stone composition, and metabolic characteristics of patients with infection stones. These findings suggest that more comprehensive metabolic evaluation and urine culture may be of help in optimizing clinical management. Additionally, the study observed that male patients with infection stones tended to have relatively poorer renal function-related indicators, suggesting that this population might benefit from more timely and effective clinical attention and intervention.

Indexed as

Kidney CalculiMicrobiotaUrinary Tract InfectionsAdultAgedApatitesBacteriaFemaleHumansMaleMiddle AgedRetrospective StudiesSex FactorsStruviteApatitescarboapatiteStruviteGenderInfection stonesMetabolic assessmentMicrobiota

Identifiers

PMID42260340
PMCPMC13483399

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