Delineating the Role of the Urinary Metabolome in the Lithogenesis of Calcium-Based Kidney Stones

被引:6
作者
Agudelo, Jose
Fedrigon, Donald
Faris, Anna
Wilkins, Lamont
Monga, Manoj
Miller, Aaron W. [1 ]
机构
[1] Cleveland Clin, Lerner Res Inst, Dept Cardiovasc & Metab Sci, Cleveland, OH 44195 USA
关键词
AMP Exception; MANAGEMENT; DISEASE;
D O I
10.1016/j.urology.2022.06.004
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To delineate the role of the urinary metabolome in the genesis of urinary stone disease (USD). METHODS Untargeted metabolomics was utilized in comparative analyses of calcium-based stones (CBS) and spot urine samples from patients with a history of USD with or without urinary stone activity based on radiologic imaging. Stone and urine metabolomes were stratified by composition and radiographic stone-activity, respectively. Additionally, we quantified highly abundant metabolites that were present in either calcium oxalate (CaOx) or calcium phosphate (CaPhos) stones and also significantly enriched in the urine of active stone formers (SF) compared to non-active SF. These data were used to delineate either a direct involvement of urinary metabolites in lithogenesis or the passive uptake of biomolecules within the stone matrix. RESULTS Urinary metabolomes were distinct based on radiographic stone-activity and the 2 types of CBS. Stratification by radiologic stone activity was driven by the enrichment of 14 metabolites in the urine of active SF that were also highly abundant in both CaOx and CaPhos stones, indicative of a potential involvement of these metabolites in lithogenesis. Using the combination of these 14 metabolites in total, we generated a model that correctly classified patients as either active vs nonactive SF in a prospectively recruited cohort with 73% success. CONCLUSION Collectively, our data suggest specific urinary metabolites directly contribute to the formation of urinary stones and that active SF may excrete higher levels of lithogenic metabolites than non-active patients. Future studies are needed to confirm these findings and establish the causative mechanisms associated with these metabolites. UROLOGY 167: 49-55, 2022. (c) 2022 Elsevier Inc.
引用
收藏
页码:49 / 55
页数:7
相关论文
共 30 条
  • [1] Correlation Between Quorum Sensing Signal Molecules and Pseudomonas aeruginosa's Biofilm Development and Virulency
    Alayande, Abayomi Babatunde
    Aung, Mar Mar
    Kim, In S.
    [J]. CURRENT MICROBIOLOGY, 2018, 75 (07) : 787 - 793
  • [2] The Impact of Glycosylation of Osteopontin on Urinary Stone Formation
    Anan, Go
    Yoneyama, Tohru
    Noro, Daisuke
    Tobisawa, Yuki
    Hatakeyama, Shingo
    Sutoh Yoneyama, Mihoko
    Yamamoto, Hayato
    Imai, Atsushi
    Iwamura, Hiromichi
    Kohada, Yuki
    Mikami, Jotaro
    Ito, Jun
    Kaiho, Yasuhiro
    Yoneyama, Takahiro
    Hashimoto, Yasuhiro
    Sato, Makoto
    Ohyama, Chikara
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (01)
  • [3] [Anonymous], 2012, UROL DIS AM
  • [4] Bezabeh T, 2019, METHODS MOL BIOL, V2037, P215, DOI 10.1007/978-1-4939-9690-2_13
  • [5] An overview of kidney stone imaging techniques
    Brisbane, Wayne
    Bailey, Michael R.
    Sorensen, Mathew D.
    [J]. NATURE REVIEWS UROLOGY, 2016, 13 (11) : 654 - 662
  • [6] Correlation of metabolic syndrome with urinary stone composition
    Cho, Sung Tae
    Jung, Seung Il
    Myung, Soon Chul
    Kim, Tae Hyoung
    [J]. INTERNATIONAL JOURNAL OF UROLOGY, 2013, 20 (02) : 208 - 213
  • [7] 1H NMR-based metabolomic study of metabolic profiling for the urine of kidney stone patients
    Duan, Xiaolu
    Zhang, Tao
    Ou, Lili
    Kong, Zhenzhen
    Wu, Wenqi
    Zeng, Guohua
    [J]. UROLITHIASIS, 2020, 48 (01) : 27 - 35
  • [8] Volatile organic compounds from feces and their potential for diagnosis of gastrointestinal disease
    Garner, Catherine E.
    Smith, Stephen
    Costello, Ben de Lacy
    White, Paul
    Spencer, Robert
    Probert, Chris S. J.
    Ratcliffe, Norman M.
    [J]. FASEB JOURNAL, 2007, 21 (08) : 1675 - 1688
  • [9] A Two-Stage Procedure for the Removal of Batch Effects in Microarray Studies
    Giordan M.
    [J]. Statistics in Biosciences, 2014, 6 (1) : 73 - 84
  • [10] Development of Urinary Biomarkers for Internal Exposure by Cesium-137 Using a Metabolomics Approach in Mice
    Goudarzi, Maryam
    Weber, Waylon
    Mak, Tytus D.
    Chung, Juijung
    Doyle-Eisele, Melanie
    Melo, Dunstana
    Brenner, David J.
    Guilmette, Raymond A.
    Fornace, Albert J., Jr.
    [J]. RADIATION RESEARCH, 2014, 181 (01) : 54 - 64