Evidence mapPaperPMID 41285810Full record

ArticleNPJ biofilms and microbiomes2025

Urinary biochemical ecology reveals microbiome-metabolite interactions and metabolic markers of recurrent urinary tract infection.

Michael L Neugent, Neha V Hulyalkar, Debasish Ghosh, Ceejay N Saenz, Philippe E Zimmern, Vladimir Shulaev, Nicole J De Nisco

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. 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
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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael L NeugentDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Neha V HulyalkarDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Debasish GhoshDepartment of Biological Sciences, The University of North Texas, Denton, TX, USA.
Ceejay N SaenzDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Philippe E ZimmernDepartment of Urology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Vladimir ShulaevDepartment of Biological Sciences, The University of North Texas, Denton, TX, USA.
Nicole J De NiscoDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA. nicole.denisco@utdallas.edu.

Funding

Defining the dynamics of urobiome structure and function in postmenopausal women and its role in recurrent UTI susceptibilityR01DK131267 · UNIVERSITY OF TEXAS DALLAS · 2025 to 2025
$280k
NIDDK NIH HHS F32 DK128975NIDDK NIH HHS R01 DK131267NIH HHS F32DK128975NIH HHS R01DK131267
6 · The paper itself

Abstract

Recurrent urinary tract infections (rUTIs) are a major clinical challenge, and their increasing prevalence underscores the need to define host-microbiome interactions underlying susceptibility. How the urinary microbiota engages with the biochemical environment of the urogenital tract is yet to be fully defined. Here, we leverage paired metagenomic and quantitative metabolomic data to establish a microbe-metabolite association network of the female urinary microbiome and define metabolic signatures of rUTI. We observe unique metabolic networks of uropathogens and uroprotective species, highlighting potential metabolite-driven ecological shifts influencing rUTI susceptibility. We find distinct metabolites associated with urinary microbiome diversity and identify a lipid signature of active rUTI that accurately distinguishes our cases from controls. Finally, we identify deoxycholic acid as a prognostic indicator for UTI recurrence. Together, these findings provide insight into microbiome-metabolite interactions within the female urinary tract and highlight potential biomarkers for the development of new diagnostic tools to improve patient outcomes.

Indexed as

BacteriaMicrobiotaUrinary TractUrinary Tract InfectionsUrineAdultBiomarkersDeoxycholic AcidFemaleHumansMetabolomicsMetagenomicsMiddle AgedRecurrenceBiomarkersDeoxycholic Acid

Identifiers

PMID41285810
PMCPMC12644811

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.