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Introduction <p>Nearly every fifth adult person suffers from chronic fatigue, but its etiology and related mechanisms are poorly understood. Metabolomics data offer new possibilities for identifying metabolites related to disease etiology.</p> Objectives <p>This study aimed to investigate the association between urinary metabolites and fatigue in the general population.</p> Methods <p>Fatigue severity was assessed using the Fatigue Assessment Scale (FAS). 51 urinary metabolites were quantified via ¹H nuclear magnetic resonance (¹H-NMR). Multivariable linear regression models adjusted for possible confounders were performed on data of 570 participants of the <i>Metabolism</i>,<i> Nutrition and Immune System in Augsburg</i> (MEIA) study to explore the associations between urinary metabolites and fatigue.</p> Results <p>Four urinary metabolites showed significant associations with fatigue, namely hypoxanthine (β = 0.932, 95% CI 0.168–1.697, <i>p</i> = 0.017), 3-hydroxyhippurate (β = 0.213, 95% CI 0.003–0.424, <i>p</i> = 0.047), dimethylamine (β = 0.756, 95% CI 0.255–1.257, <i>p</i> = 0.003), and trimethylamine-N-oxide (β = 0.088, 95% CI 0.002–0.174, <i>p</i> = 0.045). Stratified analyses showed that the association of hypoxanthine was limited to individuals with obesity (BMI ≥ 30&#xa0;kg/m<sup>2</sup>; β = 3.186, 95% CI 1.742–4.629, <i>p</i> &lt; 0.001). After correction for multiple testing (false discovery rate), none of these associations remained statistically significant.</p> Conclusion <p>Urinary metabolites related to purine degradation and gut microbial metabolism may reflect fatigue-related biological processes, demonstrating the potential of urinary metabolomics to identify biochemical alterations and possible mechanisms of fatigue pathophysiology.</p>

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Urinary metabolites and fatigue in a population-based metabolomics study: an exploratory analysis

  • 期刊论文

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  • 发表日期：

    2026年4月29日

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  • Annika Kneipp,
  • Inge Kirchberger,
  • Dennis Freuer,
  • Christine Meisinger,
  • Jakob Linseisen

摘要

Introduction

Nearly every fifth adult person suffers from chronic fatigue, but its etiology and related mechanisms are poorly understood. Metabolomics data offer new possibilities for identifying metabolites related to disease etiology.

Objectives

This study aimed to investigate the association between urinary metabolites and fatigue in the general population.

Methods

Fatigue severity was assessed using the Fatigue Assessment Scale (FAS). 51 urinary metabolites were quantified via ¹H nuclear magnetic resonance (¹H-NMR). Multivariable linear regression models adjusted for possible confounders were performed on data of 570 participants of the Metabolism, Nutrition and Immune System in Augsburg (MEIA) study to explore the associations between urinary metabolites and fatigue.

Results

Four urinary metabolites showed significant associations with fatigue, namely hypoxanthine (β = 0.932, 95% CI 0.168–1.697, p = 0.017), 3-hydroxyhippurate (β = 0.213, 95% CI 0.003–0.424, p = 0.047), dimethylamine (β = 0.756, 95% CI 0.255–1.257, p = 0.003), and trimethylamine-N-oxide (β = 0.088, 95% CI 0.002–0.174, p = 0.045). Stratified analyses showed that the association of hypoxanthine was limited to individuals with obesity (BMI ≥ 30 kg/m2; β = 3.186, 95% CI 1.742–4.629, p < 0.001). After correction for multiple testing (false discovery rate), none of these associations remained statistically significant.

Conclusion

Urinary metabolites related to purine degradation and gut microbial metabolism may reflect fatigue-related biological processes, demonstrating the potential of urinary metabolomics to identify biochemical alterations and possible mechanisms of fatigue pathophysiology.