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Food Science and Nutrition (Poster Session)

(P09-027-24) Urine Metabolome in Women With Low Urinary Anti-adhesion Activity Against E. coli Differed From Those With High Anti-adhesion Activity

Sunday, June 30, 2024
12:45 PM – 1:45 PM CT
Location: Poster Board 305

    Presenting Author(s)

  • Shuhan Li, Master (she/her/hers)

    PhD Candidate
    University of Florida
    GAINESVILLE, Florida, United States

    • Co-Author(s)

  • TG

    Timothy Garrett, Ph.D.

    Associate Professor
    Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida
    Gainesville, Florida, United States

  • MK

    Manasi Kamat

    University of Florida, United States

  • LG

    Liwei Gu, PhD

    PROFESSOR
    University of Florida
    Gainesville, Florida, United States

Disclosure(s):
Shuhan Li, Master: No relevant financial relationship(s) with ineligible companies to disclose.


Objectives: Our previous study suggested that women can be susceptible or resistant to urinary tract infections (UTIs) depending on their urinary anti-adhesion ability against uropathogenic E. coli. This research aimed to compare urine metabolome in women with low and high anti-adhesion activity.

Methods: Healthy women aged 21-65 (n = 152) avoided cranberry products for ten days and provided two urine samples on days 9 and 10 in the clinical trial NCT05065008. Urinary anti-adhesion activity against P-type E. coli was tested by a fluorometric method and expressed as anti-adhesion index (AAI). Urine from women with high-AAI (n=18) or low-AAI (n=18) were analyzed. Samples were extracted in 98:2 water/acetonitrile with 0.1% sodium azide for the UHPLC-Q-Orbitrap-HRMS analyses in positive and negative ionization. Features were obtained after peaks were extracted, deconvoluted, deisotoped, aligned, and gap-filled in MZmine 2.53. Urinary metabolites with VIP > 1 were selected as X variables in SIMCA 18.0. OPLS-DA and -R models were built with X vs groups/AAI as Y responses.

Results: Women with low AAIs were segregated from those with high AAIs in OPLS-DA models for positive and negative ionization. R2Y was 0.915 for negative ionization, indicating that over 90% of the Y variance was explained. Q2 was 0.818, indicating good predictability. The OPLS-DA model for positive ionization had R2Y of 0.774 and Q2 of 0.654. In OPLS-R models, separation was observed between the low-AAI and high-AAI samples for negative ionization. Two samples with high AAIs overlapped with the low-AAI area for positive ionization. R2Y values for negative and positive ionization were 0.918 and 0.794. Q2 for negative and positive ionization were 0.738 and 0.467. A decrease of Q2 was observed with the decrease of Y variables in 200-time permutation plots for all the OPLS models, suggesting the models did not overfit. Sixty-five and 99 discriminant metabolites were annotated based on S plots for negative and positive ionization.

Conclusions: Women with low urinary anti-adhesion activity had different urinary metabolites in their urine metabolome compared with those with high activity. Discriminant metabolites may contribute to the anti-adhesion activities of urine.

Funding Sources: National Institute of Food and Agriculture (grant 2022-67017-36240) and University of Florida Research Foundation Seed Fund