Evidence map›Paper›PMID 41607650›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Urinary Antimicrobial Peptides and Cytokines as Biomarkers for Recurrent Urinary Tract Infection in Children and Adolescents.

Guillermo Yepes, Hancong Chloe Tang, Natalie Holdsworth, Kristin Salamon, Laura Schwartz, Christina Ching, Steve Rust, John David Spencer

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrent urinary tract infection (rUTI) is a major diagnostic and management challenge. Dysregulated innate immune responses, including antimicrobial peptides and cytokines, may underlie UTI susceptibility. This study investigates whether urinary concentrations of antimicrobial peptides and cytokines differ in children and adolescents with a history of rUTI and whether they can accurately classify rUTI status. Methods: Urine samples were collected from 42 girls and adolescent females with a history of rUTI and 37 matched healthy controls. Concentrations of antimicrobial peptides (alpha-defensins 1-3, beta-defensin 1, cathelicidin, secretory leukocyte protease inhibitor, lipocalin 2, and ribonuclease 7) and cytokines (interleukin-1 beta, interleukin-6, interleukin-8, and tumor necrosis factor alpha) were quantified using enzyme-linked immunosorbent assays. A logistic regression model with variable selection was developed to classify rUTI participants based on urinary biomarkers and clinical factors. Results: Compared to controls, participants with rUTI had lower concentrations of beta-defensin 1, cathelicidin, and ribonuclease 7, and higher concentrations of alpha-defensins 1-3, lipocalin 2, and secretory leukocyte protease inhibitor. Cytokine concentrations, including interleukin-1 beta, interleukin-6, interleukin-8, and tumor necrosis factor alpha, were elevated in the rUTI group. The predictive model demonstrated high accuracy, with an area under the receiver operating curve of 0.97 and a prevalence-adjusted area under the precision-recall curve of 0.94. Conclusions: Girls and adolescent females with rUTI exhibit a distinct urinary immune profile characterized by dysregulated antimicrobial peptides and elevated proinflammatory cytokines. A predictive model integrating these biomarkers with clinical features accurately classified rUTI status, supporting their potential utility as diagnostic tools for pediatric UTI.

Identifiers

PMID41607650
PMCPMC12838295

What OpenQuestion holds

Textmetadata
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.