Evidence map›Paper›PMID 38384270›Full record

ArticleFrontiers in microbiology2024

Urogenital microbiota-driven virulence factor genes associated with recurrent urinary tract infection.

Lei Jiang, Haiyun Wang, Lei Luo, Xiangyu Pang, Tongpeng Liu, Lijiang Sun, Guiming Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. More than an infection: the ecological puzzle of recurrent urinary tract infections.Frontiers in cellular and infection microbiology · 2026
    Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lei JiangDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Haiyun WangDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Lei LuoDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Xiangyu PangDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Tongpeng LiuDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Lijiang SunDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Guiming ZhangDepartment of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) are a common health issue affecting individuals worldwide. Recurrent urinary tract infections (rUTI) pose a significant clinical challenge, with limited understanding of the underlying mechanisms. Recent research suggests that the urobiome, the microbial community residing in the urinary tract, may play a crucial role in the development and recurrence of urinary tract infections. However, the specific virulence factor genes (VFGs) driven by urobiome contributing to infection recurrence remain poorly understood. Our study aimed to investigate the relationship between urobiome driven VFGs and recurrent urinary tract infections. By analyzing the VFGs composition of the urinary microbiome in patients with rUTI compared to a control group, we found higher alpha diversity in rUTI patients compared with healthy control. And then, we sought to identify specific VFGs features associated with infection recurrence. Specifically, we observed an increased abundance of certain VGFs in the recurrent infection group. We also associated VFGs and clinical data. We then developed a diagnostic model based on the levels of these VFGs using random forest and support vector machine analysis to distinguish healthy control and rUIT, rUTI relapse and rUTI remission. The diagnostic accuracy of the model was assessed using receiver operating characteristic curve analysis, and the area under the ROC curve were 0.83 and 0.75. These findings provide valuable insights into the complex interplay between the VFGs of urobiome and recurrent urinary tract infections, highlighting potential targets for therapeutic interventions to prevent infection recurrence.

Indexed as

metagenomicsnon-invasive diagnosticrecurrent urinary tract infectionurineurobiomevirulence factor genes

Identifiers

PMID38384270
PMCPMC10879396
OpenAlexW4391610298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.