Urinary Metabolic Phenotyping of Women with Lower Urinary Tract Symptoms

被引:10
|
作者
Bray, Rhiannon [1 ]
Cacciatore, Stefano [2 ]
Jimenez, Beatriz [3 ,6 ]
Cartwright, Rufus [1 ]
Digesu, Alex [1 ]
Fernando, Ruwan [1 ]
Holines, Elaine [3 ,4 ]
Nicholson, Jeremy K. [3 ,4 ]
Bennett, Phillip R. [2 ,5 ]
MacIntyre, David A. [2 ]
Khullar, Vik [1 ]
机构
[1] Imperial Coll Healthcare NHS Trust, St Marys Hosp, Dept Urogynaecol, London W2 1NY, England
[2] Imperial Coll London, Imperial Coll Parturit Res Grp, Div Inst Reprod & Dev Biol, London SW7 2AZ, England
[3] Imperial Coll London, Dept Surg & Canc, Div Computat Syst Med, London SW7 2AZ, England
[4] Imperial Coll London, Ctr Digest & Gut Hlth, London SW7 2AZ, England
[5] Imperial Coll Healthcare NHS Trust, Queen Charlottes Hosp, London W12 0HS, England
[6] Imperial Coll London, St Marys Hosp, Imperial Clin Phenotyping Ctr, QEQM Bldg, London W2 1NY, England
基金
英国医学研究理事会;
关键词
metabolic profiling; LUTS; overactive bladder; NMR; KODAMA; metabolomics; RANDOMIZED CONTROLLED-TRIAL; NERVE GROWTH-FACTOR; QUALITY-OF-LIFE; OVERACTIVE BLADDER; INCONTINENCE; OBESE; AGE; SPECTROSCOPY; PREVALENCE; MANAGEMENT;
D O I
10.1021/acs.jproteome.7b00568
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Lower urinary tract symptoms (LUTS), including urinary incontinence, urgency and nocturia, affect approximately half of women worldwide. Current diagnostic methods for LUTS are invasive and costly, while available treatments are limited by side effects leading to poor patient compliance. In this study, we aimed to identify urine metabolic signatures associated with LUTS using proton nuclear magnetic resonance (H-1 NMR) spectroscopy. A total of 214 urine samples were collected from women attending tertiary urogynecology clinics (cases; n = 176) and healthy control women attending general gynecology clinics (n = 36). Despite high variation in the urine metabolome across the cohort, associations between urine metabolic profiles and BMI, parity, overactive bladder syndrome, frequency, straining, and bladder storage were identified using KODAMA (knowledge discovery by accuracy maximization). Four distinct urinary metabotypes were identified, one of which was associated with increased urinary frequency and low BMI. Urine from these patients was characterized by increased levels of isoleucine and decreased levels of hippurate. Our study suggests that metabolic profiling of urine samples from LUTS patients offers the potential to identify differences in underlying etiology, which may permit stratification of patient populations and the design of more personalized treatment strategies.
引用
收藏
页码:4208 / 4216
页数:9
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