Evidence map›Paper›PMID 40244477›Full record

ArticleWorld journal of urology2025

The role of urine microbiota in culture-negative patients with pyuria.

Jipeng Li, Yuting Zhang, Lijie He

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Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jipeng LiDepartment of Nephrology, State Key Laboratory of Cancer Biology & Institute of Digestive Diseases, Xijing Hospital, the Air Force Medical University, Xi'an, Shaan xi, China.
Yuting ZhangDepartment of Nephrology, State Key Laboratory of Cancer Biology & Institute of Digestive Diseases, Xijing Hospital, the Air Force Medical University, Xi'an, Shaan xi, China.
Lijie HeDepartment of Nephrology, State Key Laboratory of Cancer Biology & Institute of Digestive Diseases, Xijing Hospital, the Air Force Medical University, Xi'an, Shaan xi, China. helijie@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPyuria is usually caused by bacteria and usually results in antibiotic prescriptions. However, traditional urine culture is time-consuming and has a high false negative possibility. Additionally, the role of urine viruses in pyuria is unclear. Metagenomics can enhance the precision and efficiency of diagnosis by directly sequencing the microbiota in urine. We aimed to determine the association of urine microbiota in patients with or without pyuria and culture negative.

methodsIn this retrospective study, we screened urine samples from patients who received whole genome sequencing (WGS) and had a negative urine culture from October 2021 to May 2024. We compared differences in the top 10 detected genera of urine microbiota between the pyuria group and the non-pyuria group. Multivariable analysis was used for correlation analysis and performed to odds ratio (OR) and OR with 95% confidence interval (CI). The receiver operating characteristic (ROC) curve analyses tested the predictive ability of associated microbiota to pyuria.

resultsWe found 29 microbial genera including 2 viral genera. Escherichia [OR 11.688 (95%CI 2.190-62.362), p = 0.004], Gardnerella [OR 9.904 (95%CI 2.180-45.005), p = 0.003] or Polyomavirus [OR 5.205 (95%CI 1.295-20.919), p = 0.020] was associated with the independent risk factors of pyuria, while Lactobacillus was associated with a decreased risk of pyuria [OR 17.273 (95%CI 1.297-230.061), p = 0.031]. An integrated logistic regression model of Escherichia, Gardnerella, Polyomavirus, and Lactobacillus exhibited a predictive power for pyuria with the area under curve (AUC) of 0.8132 [95%CI (0.7098-0.9167), p < 0.001].

conclusionUrine microbiota is diverse. Escherichia, Gardnerella, or Polyomavirus are independently associated with pyuria, while Lactobacillus is a positive factor against pyuria.

Indexed as

MicrobiotaPyuriaUrineAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesGardnerellaLactobacillusPolyomavirusPublic healthPyuria

Identifiers

PMID40244477

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