Literature DB >> 28607507

Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

J Graessler1, C S Mehnert1, K-M Schulte2,3, S Bergmann4, S Strauss1, T D Bornstein1, J Licinio5,6,7, M-L Wong5,6, A L Birkenfeld1,8,9, S R Bornstein1,8.   

Abstract

Urinary lipidomics may add new valuable biomarkers to the diagnostic armamentarium for early detection of metabolic and kidney diseases. Sources and composition of urinary lipids in healthy individuals, however, have not been investigated in detail. Shotgun lipidomics was used to quantify lipidomic profiles in native urine samples from 16 individuals (eight men, eight women) collected in five fractions over 24 h. All probands were comprehensively characterized by urinary and clinical indices. The mean total urinary lipid concentration per sample was 0.84 μM in men and 1.03 μM in women. We observed significant intra- and interindividual variations of lipid concentrations over time, but failed to detect a clear circadian pattern. Based on quantity and subclass composition it seems very unlikely that plasma serves as major source for the urinary lipidome. Considering lipid metabolites occurring in at least 20% of all samples 38 lipid species from 7 lipid classes were identified. Four phosphatidylserine and one phosphatidylethanolamine ether species (PE-O 36:5) were detectable in almost all urine samples. Sexual dimorphism has been found mainly for phosphatidylcholines and phosphatidylethanolamines. In men and in women urinary lipid species were highly correlated with urinary creatinine and albumin excretion, reflecting glomerular filtration and tubular transport processes. In women, however, lipid species deriving from urinary cells and cellular constituents of the lower genitourinary tract considerably contributed to the urinary lipidome. In conclusion, our study revealed the potential of urinary lipidomics but also the complexity of methodological challenges which have to be overcome for its implementation as a routine diagnostic tool for renal, urological and metabolic diseases.

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Year:  2017        PMID: 28607507     DOI: 10.1038/tpj.2017.24

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  46 in total

Review 1.  Discovery of urinary biomarkers.

Authors:  Trairak Pisitkun; Rose Johnstone; Mark A Knepper
Journal:  Mol Cell Proteomics       Date:  2006-07-12       Impact factor: 5.911

Review 2.  Lipidomics: new insight into kidney disease.

Authors:  Ying-Yong Zhao; Nosratola D Vaziri; Rui-Chao Lin
Journal:  Adv Clin Chem       Date:  2015-01-07       Impact factor: 5.394

Review 3.  The application of urinary proteomics for the detection of biomarkers of kidney diseases.

Authors:  Song Jiang; Yu Wang; Zhihong Liu
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

Review 4.  Lipotoxicity and impaired high density lipoprotein-mediated reverse cholesterol transport in chronic kidney disease.

Authors:  Nosratola D Vaziri
Journal:  J Ren Nutr       Date:  2010-09       Impact factor: 3.655

5.  Quantitative analysis of urinary phospholipids found in patients with breast cancer by nanoflow liquid chromatography-tandem mass spectrometry: II. Negative ion mode analysis of four phospholipid classes.

Authors:  Hye Kyeong Min; Gu Kong; Myeong Hee Moon
Journal:  Anal Bioanal Chem       Date:  2009-11-25       Impact factor: 4.142

Review 6.  Shotgun lipidomics of neutral lipids as an enabling technology for elucidation of lipid-related diseases.

Authors:  Richard W Gross; Xianlin Han
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-01-06       Impact factor: 4.310

7.  Quantitative analysis of phosphatidylcholines and phosphatidylethanolamines in urine of patients with breast cancer by nanoflow liquid chromatography/tandem mass spectrometry.

Authors:  Hanna Kim; Hye Kyeong Min; Gu Kong; Myeong Hee Moon
Journal:  Anal Bioanal Chem       Date:  2009-02-05       Impact factor: 4.142

8.  Association of lipidome remodeling in the adipocyte membrane with acquired obesity in humans.

Authors:  Kirsi H Pietiläinen; Tomasz Róg; Tuulikki Seppänen-Laakso; Sam Virtue; Peddinti Gopalacharyulu; Jing Tang; Sergio Rodriguez-Cuenca; Arkadiusz Maciejewski; Jussi Naukkarinen; Anna-Liisa Ruskeepää; Perttu S Niemelä; Laxman Yetukuri; Chong Yew Tan; Vidya Velagapudi; Sandra Castillo; Heli Nygren; Tuulia Hyötyläinen; Aila Rissanen; Jaakko Kaprio; Hannele Yki-Järvinen; Ilpo Vattulainen; Antonio Vidal-Puig; Matej Orešič
Journal:  PLoS Biol       Date:  2011-06-07       Impact factor: 8.029

9.  Plasma and serum lipidomics of healthy white adults shows characteristic profiles by subjects' gender and age.

Authors:  Masaki Ishikawa; Keiko Maekawa; Kosuke Saito; Yuya Senoo; Masayo Urata; Mayumi Murayama; Yoko Tajima; Yuji Kumagai; Yoshiro Saito
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

10.  Plasma phosphatidylcholine and sphingomyelin concentrations are associated with depression and anxiety symptoms in a Dutch family-based lipidomics study.

Authors:  Ayşe Demirkan; Aaron Isaacs; Peter Ugocsai; Gerhard Liebisch; Maksim Struchalin; Igor Rudan; James F Wilson; Peter P Pramstaller; Ulf Gyllensten; Harry Campbell; Gerd Schmitz; Ben A Oostra; Cornelia M van Duijn
Journal:  J Psychiatr Res       Date:  2012-11-30       Impact factor: 4.791

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  1 in total

Review 1.  A narrative review of urinary phospholipids: from biochemical aspect towards clinical application.

Authors:  Xin Li; Kenji Nakayama; Takayuki Goto; Shusuke Akamatsu; Takashi Kobayashi; Koji Shimizu; Osamu Ogawa; Takahiro Inoue
Journal:  Transl Androl Urol       Date:  2021-04
  1 in total

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