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Metabolites
Special Issues
Application of Urinary Metabolomics in Early Disease Detection
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Application of Urinary Metabolomics in Early Disease Detection

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 1371

Special Issue Editor

Dr. Casey Burton

E-Mail Website
Guest Editor
1. Phelps Health, Rolla, MO, USA
2. Department of Chemistry, Missouri University of Science and Technology, Rolla, MO, USA
Interests: urinary metabolomics; cancer biomarkers; traumatic brain injury biomarkers; LC-MS/MS; analytical method development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing prevalence of urinary metabolomics as a powerful tool for biomarker discovery could revolutionize early disease detection. Urinary metabolites, which can be noninvasively collected and analyzed, can be seamlessly integrated into existing clinical laboratory workflows. However, the variability of urinary metabolites in response to different internal and external factors complicates their practical use as novel disease biomarkers.

This Special Issue aims to highlight novel applications of urinary metabolomics for early disease detection, including metabolomics profiling, metabolic pathway identification, and disease etiology, in addition to biomarker discovery and validation, such as early disease detection, disease risk stratification, therapeutic response prediction, and therapeutic response monitoring. It also hopes to cover advances in overcoming technical barriers to the field, including the development of advanced analytical techniques, the normalization of urinary metabolite variability, replication across clinical populations, and statistical methods to aid translational and clinical research. This Special Issue seeks reviews, articles, etc., on the latest developments in urinary metabolomics in early disease detection.

Dr. Casey Burton
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urinary metabolomics
  • biomarkers
  • early disease detection
  • analytical method development
  • therapeutic response monitoring

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Published Papers (1 paper)

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Research

16 pages, 816 KB  
Article
Urinary Equol Production Capacity, Dietary Habits, and Premenstrual Symptom Severity in Healthy Young Japanese Women
by Nanae Kada-Kondo, Natsuka Kimura, Kurea Isobe, Akari Kaida, Saki Ota, Akari Fujita, Yuu Haraki, Ryozo Nagai and Kenichi Aizawa
Metabolites 2026, 16(1), 55; https://doi.org/10.3390/metabo16010055 - 8 Jan 2026
Viewed by 1125
Abstract
Background/Objectives: Equol, a gut microbial metabolite of the soy isoflavone, daidzein, is associated with estrogenic activity and potential benefits for women’s health. While equol production depends on individual gut microbial composition, its dietary and clinical correlates in young women remain incompletely characterized. [...] Read more.
Background/Objectives: Equol, a gut microbial metabolite of the soy isoflavone, daidzein, is associated with estrogenic activity and potential benefits for women’s health. While equol production depends on individual gut microbial composition, its dietary and clinical correlates in young women remain incompletely characterized. This study explored the relationship between urinary equol production, dietary habits, and premenstrual symptom severity in healthy university-aged women. Methods: We conducted a cross-sectional study of 41 Japanese women, aged 19–20 years. Urinary equol was measured using a validated liquid chromatography–tandem mass spectrometry (LC–MS/MS) method, following enzymatic hydrolysis. Participants were classified as either equol producers or non-producers, based on urinary concentration thresholds. Dietary intake was evaluated using a dietary questionnaire focused on soy products and dietary fiber sources. Premenstrual symptoms were assessed using a standardized Japanese questionnaire for premenstrual syndrome and premenstrual dysphoric disorder. Results: Twelve percent of participants were classified as equol producers. Compared with non-producers, equol producers reported higher consumption of pumpkin, soybean sprouts, and green tea. Among non-producers, higher consumption of certain vegetables and fiber-rich foods, including broccoli, pickled radish, konjac, and konjac jelly, was associated with greater premenstrual symptom severity, whereas such associations were not observed among equol producers. The analytical method demonstrated high sensitivity and reproducibility for urinary equol measurement. Conclusions: These findings suggest that equol production status may be associated with distinct dietary patterns and with differences in the relationship between food intake and premenstrual symptom severity in young women. Although the cross-sectional design and limited sample size preclude causal inference, these findings suggest that urinary equol is a promising candidate biomarker for future research on diet-related modulation of premenstrual symptoms. Full article
(This article belongs to the Special Issue Application of Urinary Metabolomics in Early Disease Detection)
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