Evidence map›Paper›PMID 41766869›Full record

ArticleFrontiers in immunology2026

Efficacy of Interleukin 8 (IL-8) in the detection of urinary tract infection.

Jacqueline Barnett, Janice Kiely, Richard Luxton, Nicola Morris, Marcus Drake

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jacqueline BarnettSchool of Applied Sciences, University of the West of England, Bristol, United Kingdom.
Janice KielyInstitute of Bio-Sensing Technology, University of the West of England, Bristol, United Kingdom.
Richard LuxtonInstitute of Bio-Sensing Technology, University of the West of England, Bristol, United Kingdom.
Nicola MorrisBristol Urological Institute, North Bristol NHS Trust, Southmead Hospital, Bristol, United Kingdom.
Marcus DrakeDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Urinary tract infection (UTI) is the most common bacterial infection independent of age. Currently, the gold standard for diagnosis of UTI is based on the presence of bacteria together with white blood cells in the urine to distinguish significant infection vs contamination. Unfortunately, white blood cell count in the urine is non-specific. An ideal biomarker should be elevated in all UTIs, irrespective of the causative organism, and remain low in the absence of infection or systemic inflammation. The purpose of this proof-of- concept study was to examine whether IL-8 could act as an efficacious biomarker for UTI infection in combination with confirmed bacterial infection. Methods: In this study, IL-8 levels were measured in anonymised urine samples sent to the pathology laboratory for microbiology testing using commercially available ELISA kits. The urine samples tested had laboratory confirmed infection with Results: The results demonstrated that although the IL-8 levels were variable for the 3 different causative agents of UTI tested, there was a significant difference between no growth samples and combined UTI samples. Of other biomarkers tested only lactoferrin gave comparable results to IL-8. Discussion: The IL-8 data presented is consistent with other published work and suggests that testing for IL-8 with measurement of uropathogenic bacteria could be a sensitive screening test for an accurate diagnosis of active UTI infection, excluding contamination and systemic inflammation. Larger studies with integrated clinical data are necessary to explore this further.

Indexed as

Interleukin-8Urinary Tract InfectionsBiomarkersEnzyme-Linked Immunosorbent AssayHumansBiomarkersCXCL8 protein, humanInterleukin-8cytokinesELISAIL-8inflammatory markerslactoferrinurinary tract infection

Identifiers

PMID41766869
PMCPMC12935898

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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.