Physiological conditions can be reflected in human urine proteome and metabolome

Wu, Jianhuang; Gao, Youhe

doi:10.1586/14789450.2015.1094380

Cited by 159 publications

(126 citation statements)

References 78 publications

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“…5 The differential proteins caused by confounding factors may interfere some valuable urinary information discovery. It is difficult to accurately determine whether potential biomarkers are associated with any particular pathophysiological condition or confounding factors, especially in clinical urine samples.…”

Section: Introductionmentioning

confidence: 99%

Acute Effect of Coffee Consumption on Urinary Proteome in Young Healthy Individuals

Ni¹,

Zhang²,

An³

et al. 2017

MOJPB

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Urine, which is not regulated by homeostatic mechanisms, is more likely to reflect early changes and be a source for early biomarker discovery. But urine can be affected by various factors. Coffee is widely consumed in daily life. It may have effects on urinary biomarker discovery and validation in clinical samples. An evaluation of acute coffee effect on urinary biomarker discoveries is needed. In this study, ten healthy volunteers consumed 3 bags of instant coffee in one day. Urine was collected before and after coffee intake. All urine samples were analyzed by liquid chromatography tandem mass spectrometry. After normalization of spectra, 1418±148 proteins were identified, indicating that the sympathetic nervous system exerts a significant impact on urine proteome. Eleven proteins were found significantly changed in all ten urine samples after coffee intake and one differential protein was previously annotated as urinary candidate biomarker. Coffee is one of the most consumed beverages worldwide. Thus, when using clinical samples, the effect of coffee should be taken into consideration.

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Section: Introductionmentioning

confidence: 99%

Acute Effect of Coffee Consumption on Urinary Proteome in Young Healthy Individuals

Ni¹,

Zhang²,

An³

et al. 2017

MOJPB

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“…This study seems particularly relevant due to the emerging importance of urine as ideal source of biomarkers that can reflect early-stage systemic changes. [8] Recently published methods for determination of MDA in urine are employing HPLC, LC-MS/MS, GC-MS/MS or chemiluminescence. [9][10][11][12] These methods are time-consuming and not particularly suitable for automatization that is especially important in studies with large number of samples.…”

Section: Introductionmentioning

confidence: 99%

Spectrophotometric Determination of Malondialdehyde in Urine Suitable for Epidemiological Studies

Weitner¹,

Inić²,

Jablan³

et al. 2016

Croat. Chem. Acta

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A reliable method for spectrophotometric determination of urinary malondialdehyde (MDA), according to the thiobarbituric acid (TBA) assay, is described. To account for matrix interference and differences in individual urine composition, standard addition procedure was applied. The method is adequately selective (LoQ = 0.09 μM in the presence of 0.1 M creatinine and 0.5 M urea) and reliable (within-day and between-day variability of less than 5 %). The mean level of urinary MDA was 1.52 ± 0.73 µM that is in good agreement with spectrofluorometric determination (1.20 ± 0.56 μM; p = 0.085) as well as with previous studies that used HPLC. Furthermore, it is demonstrated that MDA is stabile in urine at room temperature for 24 h and when stored at -20 °C for 6 months. The described method enables simple, rapid and cost-effective determination of urinary MDA as a relevant and non-invasive marker of "whole-body" oxidative stress.

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“…There are various elements affecting urinary proteome, diet, medication, gender, age, daily rhythms, exercise, and hormone status [4]. It is difficult to determine whether potential biomarkers are truly related to diseases.…”

Section: Introductionmentioning

confidence: 99%

Effects of Cola on the Rats’ Urine Proteome

Tang¹,

Qin²,

Wang³

et al. 2016

MOJPB

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The nature of biomarker is change. Contrast to the blood which is under homeostatic controls, urine reflects changes in the body earlier and more sensitive therefore is a better biomarker source. However, the urinary proteome is affected by many factors such as diet, medication, daily activities. We studied the effect of cola intake on urinary proteome, using animal models to minimize related factors. Urine samples before and after cola treatment were collected and analyzed by SDS-PAGE and LC-MS/MS. Spectral counts was used to perform semi-quantitative analysis. In total, 371 proteins were identified with FDR<1% and at least 2 peptides. To be conservative, all of the differential proteins met the following criteria: 1); T-test values P<0.05, 2) the variation trend in all three animals was consistent, and the fold change was at least 1.5 in each rat. Twelve proteins significantly changed after cola intake, including 4 increased and 8 decreased. Six significantly changed proteins were previously annotated as urinary candidate biomarkers. Cola is a common beverage around the world; thus, this differential protein should be considered for future diseases biomarker studies. Keywords:

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Physiological conditions can be reflected in human urine proteome and metabolome

Cited by 159 publications

References 78 publications

Acute Effect of Coffee Consumption on Urinary Proteome in Young Healthy Individuals

Acute Effect of Coffee Consumption on Urinary Proteome in Young Healthy Individuals

Spectrophotometric Determination of Malondialdehyde in Urine Suitable for Epidemiological Studies

Effects of Cola on the Rats’ Urine Proteome

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