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ISSN: 2157-7064
Journal of Chromatography
Valko-Rokytovská et al., J Chromatogr Sep Tech 2018, 9:3
DOI: 10.4172/2157-7064.1000404
Separation Techniques
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Research Article
New Developed UHPLC Method for Selected Urine Metabolites
Valko-Rokytovská M*, Očenáš P, Salayová A and Kostecká Z
Department of Chemistry, Biochemistry and Biophysics, University of Veterinary Medicine and Pharmacy in Košice, Komenského 73, 041 81 Košice, Slovak Republic
Abstract
An ultra-high-performance chromatography for simultaneous separation and determination of the phenylalanine,
tyrosine and their metabolites (vanillylmandelic acid, homovanillic acid, homogentisic acid), tryptophan and its
metabolites (5-hydroxyindolacetic acid, kynurenic acid, indoxylsulphate, 3-indolacetic acid) was developed. The
separation was carried out on Thermo Scientific AcclaimTM 120 C18 column with a mobile phase composed of
methanol and water (containing 0.1% formic acid) in gradient mode at a flow rate of 0.6 mL/min. The limit of detection
of 10-15 ng/mL and limit of quantitation of 29-45 ng/mL were determined. The method was evaluated in terms
of recovery, precision, linearity, limit of detection, limit of quantification. The determined parameters are in the
commonly acceptable ranges for that kind of analysis. The developed chromatographic method allows the rapid
screening of urine metabolites, which can serve as potential markers of various tumor diseases as well as for the
monitoring of treatment processes.
Keywords: UHPLC; Urine; Metabolites
Abbreviations:
UHPLC:
Ultra-High-Performance
Liquid
Chromatography; HPLC: High Performance Liquid Chromatography;
Phe: Phenylalanine; Tyr: Tyrosine; NE: Norepinephrine; E: Epinephrine;
DA: Dopamine; VMA: Vanillylmandelic Acid; HVA: Homovanillic
Acid; HGA: Homogentisic Acid; Trp: Tryptophan; KYNA: Kynurenic
Acid; DAD: Diode Array Detector; LOD: Limit of Detection; LOQ: Limit
of Quantitation; FLD: Fluorescence detector; IS: 3-Indoxyl Sulphate;
3-IAA: 3-Indoleacetic Acid; RSD: Relative Standard Deviation; SD:
Standard Deviation; 5-HIAA: 5-Hydroxyindolacetic Acid.
Introduction
The Ultra-High-Performance Liquid Chromatography (UHPLC)
is widely used in biomedical chemistry. It is used in the diagnostics of
diseases and treatment progress monitoring, in human biomonitoring
or in therapeutic drug monitoring [1,2]. UHPLC is used also for the
fractionation of biological materials, e.g., urine, serum and plasma [3-5].
The most important advantage of UHPLC is the sensitive, accurate and
quick separation of complex mixtures of biologically active substances.
The effort of modern medicine is the application of biological fluids that
do not require invasive sampling. The analysis of urine samples takes
advantageous with respect to other biological matrices both because
the analytes are more stable in urine and because urine sampling is less
invasive. Urine requires minimal sample pretreatment and contains
substances reflecting the physiological/pathological condition of the
organism. The endogenous metabolites are most frequently determined
with High Performance Liquid Chromatography interfaced with
electrochemical detection [6] or fluorescence detection [7]. Recently,
a number of analytical methods using HPLC coupled to tandem
mass detection (HPLC-MS/MS) have been described and applied for
analysis of compounds in the neurotransmitter family with targeted
metabolomics [8], catecholamines and their metabolites [9,10]. The
goal of the present study was to develop and validate a suitable UHPLC
method for the simultaneous quantification of selected metabolites
of phenylalanine, tyrosine and tryptophan in human urine. Selection
of metabolites was based on studies of their presence at various
pathological conditions of organism.
Currently, metabolomics of urine represents rapid development
in prediction, detection and monitoring of diseases. This noninvasive
approach revealed homeostatic imbalance of biological systems
and enables it to provide comprehensive information of potential
J Chromatogr Sep Tech, an open access journal
ISSN: 2157-7064
biomarkers for noninvasive monitoring of diseases. An imbalance in
tyrosine and tryptophan metabolites is associated with cancer [11],
neurological [12] and inflammatory disorders [13]. The accurate and
precise measurement of these compounds in biological specimens is a
powerful tool to understand the biochemical state in several diseases.
The aromatic amino acids phenylalanine and tyrosine are precursors
for catecholamines norepinephrine, epinephrine and dopamine (Figure
1). In acute stress, the synthesis of catecholamines is rapidly increasing,
and therefore these amines are referred to as the stress hormones
[14]. Determination of urinary and plasma catecholamines plays an
important role in clinical diagnostics [15,16]. The main endproduct
of degradation of NE and E is vanillylmandelic acid, the degradation
product of dopamine is homovanillic acid, the degradation product of
dopamine is homovanillic acid.
Intermediate of the metabolic breakdown of Tyr and Phe is
homogentisic acid [17-19]. High levels of these urinary metabolites
predict suspicion of pheochromocytoma [20-23], neuroblastoma [2426], ganglioneuroma [27,28], paraganglioma [29], phenylketonuria
[30,31] and alkaptonuria [17-19]. The precursor of a large number
of biologically active metabolites from the serotonin, kynurenine
and indolic pathways is tryptophan (Trp; Figure 2). Elevated levels
of urinary Trp metabolites have been demonstrated in patients with
carcinoid [32,33], breast cancer [34], bladder cancer [35] or autistic
symptom [36]. Trp deficiency is associated with depressive conditions,
bipolar affective disorder, and also with HIV infection [37,38]. Immunemediated activation of Trp catabolism via the kynurenine pathway is a
consistent finding in all inflammatory disorders and this activation leads
to the production of several immune-modulating metabolites [13,39].
*Corresponding author: Marcela Valko-Rokytovská, Department of Chemistry,
Biochemistry and Biophysics, University of Veterinary Medicine and Pharmacy in
Košice, Komenského 73, 041 81 Košice, Slovak Republic, Tel: +421905561511;
E-mail:
[email protected]
Received May 02, 2018; Accepted May 10, 2018; Published May 15, 2018
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New
Developed UHPLC Method for Selected Urine Metabolites. J Chromatogr Sep Tech
9: 404. doi: 10.4172/2157-7064.1000404
Copyright: © 2018 Valko-Rokytovská M, et al. This is an open-access article
distributed under the terms of the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 2 of 8
Figure 1: Structures of studied analytes involved in the phenylalanine and tyrosine pathways. Phe: phenylalanine, Tyr: tyrosine, L-DOPA: 3,4-dihydroxy-Lphenylalanine, DA: dopamine, NE: norepinephrine, E: epinephrine, DOPAC: 3,4-dihydroxyphenylacetic acid, VMA: vanillylmandelic acid, HVA: homovanillic acid,
HGA: homogentisic acid.
Imbalance of kynurenic acid level in the kynurenine pathway have been
related with several pathological conditions like schizophrenia, major
depression, autism and epilepsy or Alzheimer disease [5].
metabolites.
Indole urine metabolites, 3-indoxyl sulphate and 3-indoleacetic
acid, are converted to indole from Trp. IS increases the rate of
progression of renal failure - chronic kidney disease and 3-IAA is
associated with cardiovascular disease in patients with chronic kidney
disease [40]. Pathologically elevated urinary IS indicates the rotting
processes in the body that may occur in intestinal obstructions,
diarrhea, Hartnup disease [41], gastric carcinoma or Escherichia coli
proliferation [42]. Pathologically elevated urinary concentration of
5-hydroxyindoleacetic acid (5-HIAA), serotonin metabolite, is used as
a biochemical test for the diagnosis of a carcinoid tumor [43-47] and
appendicitis [48,49]. Decreased urine levels of 5-HIAA were studied
in children with Down syndrome [50], in irritable bowel syndrome
subjects and in pathogenesis of functional bowel diseases [51].
Materials
In summary, the accurate measurement of these compounds in
urine is a powerful tool to understand the biochemical state in several
diseases and various cancer diseases. Therefore, the aim of this study was
to develop simultaneous, qualitative and quantitative determination of
selected metabolites in urine, such as tyrosine, tryptophan and their
J Chromatogr Sep Tech, an open access journal
ISSN: 2157-7064
Experimental
Creatinine, tyrosine, phenylalanine, vanillylmandelic acid,
homovanillic acid, homogentisic acid, tryptophan, 5-hydroxyindolacetic
acid, indoxyl sulphate, kynurenic acid, 3-indolacetic acid and formic
acid were purchased from Sigma-Aldrich (USA). Methanol of
HPLC grade was purchased from Fisher (Fisher Scientific UK Ltd,
Loughborough, UK) and water of HPLC grade from central water
production of UVLF (RegPur s.r.o.) was used. All reagents were HPLC
grade.
Stock solutions of creatinine, Tyr, Phe, VMA, HVA, HGA, Trp,
5-HIAA, IS, KYNA and 3-IAA were prepared by diluting of given
compounds to concentration of 1 mg/mL in deionized water. Stock
solutions of these standards were diluted in an ultrasonic bath. Mobile
phases were degassed in an ultrasonic bath.
Instrumentation and chromatography
The UHPLC separations were performed using UHPLC Dionex
UltiMate 3000 RS (Thermo Fisher Scientific Waltham, MA, USA)
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 3 of 8
Figure 2: The serotonin, kynurenine and indolic pathways of tryptophan degradation. Trp: tryptophan, 5-HTP: 5-hydroxytryptophan, 5-HT: serotonin, 5-HIAA:
5-hydroxyindolacetic acid, Kyn: kynurenine, KYNA: kynurenic acid, IS: indoxyl sulphate, 3-IAA: 3-indolacetic acid.
equipped with autosampler, intelligent pump, diode array detector and
fluorescence detector. The chromatographic column Thermo Scientific
AcclaimTM 120 C18 (Thermo Fisher Scientific, Germany; column
length 150 mm, inner diameter 3 mm, particle size 3 µm, pore size 120
Å) was used. The column was thermostatted and the precision of the
temperature adjustment was ± 0.5°C. The collection and evaluation
of data was performed using Chromeleon 7.2 Chromatography Data
System software. The DAD detection was carried out within spectral
range of 190-800 nm. Fluorescence detection was performed at
excitation wavelength of λex=280 nm and emission wavelength of
λem=350 nm. Samples were injected in a volume of 10 µL. The mobile
phase of water (containing 0.1% formic acid, A) and methanol (B) in
gradient conditions was applied: 0-50% B (0-20 min), 100% A (20-25
min). Flow rate was set at 0.6 mL/min and column temperature was
37°C. The overall analysis time was 25 min.
Urine sample preparation
Urine sample was obtained from healthy volunteer. Urine sample
was taken under standard conditions as first morning urine. Urine
sample was subjected to commercial biochemical semiquantitative
analysis. Sample was stored at -50°C. After thawing and centrifugation
at 10,000 rpm (10,621 rcf) for 5 min at laboratory temperature
(Eppendorf Centrifuge 5430, Germany), sample was filtered by PVDF
syringe filters with pore size of 0.25 µm and diluted with mobile phase
A to 15% (v/v) for UHPLC analysis.
Calibration curves
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ISSN: 2157-7064
Calibration curves for all standards in urine matrix were prepared.
The calibration curve was obtained for a series of solutions with
concentration ranging from 0.01 to 20 µg/mL. The calibration points
based on the physiological values of the individual metabolites
were selected (Table 1). The number of curve points was n=8 and
every analyte was injected two times. The volume of the solution in
every single injection was 10 µL. The limit of detection and limit of
quantitation were determined. The internal standard was not present
in the urine matrix, so that the added standards of metabolites were the
only source of the standard. In clinical analysis, creatinine is frequently
considered to be the best natural internal standard for normalizing the
excretion of other metabolites in urine.
Results and Discussion
According to our goal of study, new method for simultaneous
separation and determination of phenylalanine, tyrosine, tryptophan
and their metabolites present in urine at physiological/pathological
conditions of the organism has been developed. This work was focused
to develop of the new UHPLC method in urine matrix. The determined
parameters, i.e., linearity, recovery, precision, limit of detection, and
limit of quantification were established.
Diode array and fluorescence detectors serially connected were
used. The five analytes (creatinine, KYNA, HVA, Phe and HGA)
were determined by DAD. Signals from six analytes (Tyr, VMA,
Trp, 5-HIAA, IS and 3-IAA) were registered using the FLD. The
measurements were registered using of DAD at different wavelength
(220, 230, 240, 280 nm), but the selected method at wavelength 220 nm
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 4 of 8
a
Analytes
Physiological valuesa µmol/mmol creatinine
Calculated mean physiological values ng/mL
Creatinine
12.475 ± 7.955 µM
-
Phe
7.80 (5.0-11.3)
141.963
HGA
1.70 (0.5-2.8)
31.512
KYNA
1.60 (0.8-4.2)
33.383
HVA
6.20 (1.8-12.7)
124.512
Tyr
9.50 (4.1-23.5)
189.754
VMA
2.30 (1.0-3.4)
50.247
IS
22.40 (6.0-64.8)
526.490
Trp
6.30 (3.4-11.1)
141.835
5-HIAA
2.90 (0.4-5.8)
61.120
3-IAA
3.40 (1.8-6.2)
65.661
Human Metabolome Database (HMDB: http://www.hmdb.ca)
Table 1: Physiological values of metabolites in urine.
Figure 3: Chromatogram of mixture of metabolites in eluting solution recorded using the DAD (A) and FLD (B).
suitable for determination of all analytes was evaluated.
The chromatographic method allows one to separate and assay
creatinine, Tyr, Phe, VMA, HVA, HGA, Trp, 5-HIAA, IS, KYNA and
3-IAA (10 µg/mL, Figure 3). Examined metabolites were well separated
in the proposed chromatographic method and HPLC chromatogram
showing the resolution of selected five metabolite standards (10 µg/
mL) in urine matrix recorded using DAD is shown in Figure 4. A
chromatogram of mixture of six metabolites (10 µg/mL) recorded with
a FLD is shown in Figure 5. No interfering peaks were observed in the
chromatograms of the blank urine samples from healthy people. Matrix
interference, caused by endogenous substances in the urine samples,
was evaluated by comparing the peak areas of spiked standards with
those of the standards of pooled blank urine concentrations.
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ISSN: 2157-7064
The signal-to-noise ratio for the lower limit of detection was 3 and
for the lower limit of quantitation was 10. The range of LOD values
for exanimated metabolites was 10-15 ng/mL and for LOQ values was
29-45 ng/mL. The results of calibration curves, retention times, LOD
and LOQ values for each metabolite are summarized in Tables 2 and 3.
Calibration curves for all metabolites were obtained by plotting
the peak areas against the concentrations used. Eight different
concentrations of the standard solutions were analyzed in duplicate.
Linearity was studied in the range from 0.01 to 20 µg/mL for all used
standards. All standards showed good linearity in the tested range and
the calibration graphs were analyzed by regression analysis. Correlation
coefficient and slop were calculated and the square correlation
coefficient (R2) was always greater than 0.9985 (Tables 2 and 3).
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 5 of 8
Figure 4: Chromatogram of mixture of 5 metabolites in urine matrix recorded using the DAD.
The precision of the method was evaluated by intra- and interday
tests. Precision and recovery were determined by duplicate analysis of
the urine samples (n=5) in which the values of examined metabolites
were calculated on 3 consecutive days. Repetitive injections of urine
sample containing 0.01 µg/mL of the mixed solution of all standards
from the same vial performed on the same day (Table 4). Precision was
expressed as relative standard deviation (RSD%) for each standard.
The mean values of RSD were within the ranges of 2.02-10.22% with
recovery from 98.7 to 107.2% (Tables 2 and 3). A value of RSD within
10% is generally acceptable.
The purpose of this paper was to describe a method that was
developed for the analysis of 11 metabolites for the simultaneous
monitoring of their concentration. Determination of this metabolites
combination in the mixture is poorly described in literary sources.
Mostly, individual or mixture of some metabolites was determined by
similar methodology. In our studies, FLD and DAD detection were used
for the identification and quantification of urinary catecholamines and
tryptophan metabolites. Baranowska and Plonka reported the detection
J Chromatogr Sep Tech, an open access journal
ISSN: 2157-7064
of HVA and 5-HIAA using by fluorescence detector [1,52,53]. The
sensitivity of this method was LOD (8 ng/mL) and LOQ (24 ng/mL),
it was comparable to our results LOD (12 ng/mL) and LOQ (37 ng/
mL) for 5-HIAA and LOD (10 ng/mL) and LOQ (29 ng/mL) for HVA.
The study of Yan et al. described the simultaneous quantification of
multi-class neurotransmitters associated with dopamine, tryptophan
and glutamate-γ-aminobutyric acid pathways [54]. The sensitivity of
LC-MS/MS was comparable to our results. Only the values of LOD (25
ng/mL) and LOQ (75 ng/mL) for KYNA were higher.
UHPLC method was obtained for the identification and
quantification of urine sample, which will reduce analysis times and
workload for the laboratories charged with the diagnosis of different
diseases and which can, if necessary, be coupled to a MS-detector for a
more thorough characterization.
Conclusion
In this study, a rapid, accurate and sensitive method based on ultrahigh-performance chromatography for the analysis of the metabolism
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 6 of 8
Analyte
Retention time (tR, min)
Slope
Correlation coefficient (R2)
RSD (%)
LOD (ng/mL)
LOQ (ng/mL)
Creatinine
0.717
0.3889
0.9997
2.516
10
30
Phe
4.563
0.3387
0.9991
4.598
14
41
HGA
4.750
0.2595
0.9962
10.224
10
30
KYNA
9.427
1.0333
0.9998
2.020
12
36
HVA
10.767
0.5156
0.9996
3.093
10
29
Table 2: Retention times and calibration curve parameters for five urine metabolites (diode array detector, DAD).
Analyte
Retention time (tR, min)
Slope
Correlation coefficient (R2)
RSD (%)
LOD (ng/mL)
LOQ (ng/mL)
Tyr
2.425
4590.4682
0.9988
5.459
11
32
VMA
3.762
2118.4295
0.9985
5.782
12
37
IS
6.752
183019.6362
0.9993
3.922
15
45
Trp
7.485
241663.4940
0.9990
4.980
12
35
5-HIAA
8.665
17127.7056
0.9993
4.613
12
37
3-IAA
15.049
550159.4074
0.9989
5.316
12
37
Table 3: Retention times and calibration curve parameters for six urine metabolites (fluorescence detector, FLD).
Intraday
Interday
Analyte
Measured (mean ± SD, ng/mL)
Recovery (%)
Measured (mean ± SD, ng /mL)
Recovery (%)
Creatinine
10.3 ± 0.3
103.1
10.7 ± 0.3
107.2
Phe
9.9 ± 0.5
99.2
10.5 ± 0.2
105.1
HGA
10.2 ± 0.4
102.6
10.1 ± 0.2
101.3
KYNA
10.5 ± 0.4
104.9
10.3 ± 0.1
103.3
HVA
10.1 ± 0.2
100.9
9.8 ± 0.4
98.7
Tyr
10.2 ± 0.1
102.3
10.4 ± 0.3
104.2
VMA
10.0 ± 0.1
100.7
10.2 ± 0.3
102.3
IS
10.6 ± 0.4
106.3
10.1 ± 0.2
101.8
Trp
9.9 ± 0.2
99.0
10.1 ± 0.3
101.0
5-HIAA
10.3 ± 0.2
103.1
10.2 ± 0.3
102.1
3-IAA
10.4 ± 0.2
104.4
10.6 ± 0.4
106.4
Table 4: Intraday and interday precision for metabolites in urine.
of tyrosine and tryptophan has been developed and validated. The
study method has been validated in biological matrix-health human
urine. The method allows the quantification of selected metabolites
of phenylalanine; tyrosine and its metabolites: vanillylmandelic
acid, homovanillic acid, homogentisic acid; tryptophan and its
metabolites 5-hydroxyindolacetic acid, indoxyl sulphate, kynurenic
acid, 3-indolacetic acid. Diode array and fluorescence detectors
serially connected were used. The five analytes were determined by
J Chromatogr Sep Tech, an open access journal
ISSN: 2157-7064
DAD. Signals from six analytes were registered using the FLD. The
method was evaluated in terms of recovery, precision, linearity, limit
of detection, limit of quantification. The wide coverage of Trp and Tyr
metabolism, together with optimal analysis time, low sample volume,
simple sample preparation and satisfactory quantitative results make
this developed procedure useful for rapid and reliable clinical studies.
Conflict of Interest
The authors declare that they have no conflict of interest.
Volume 9 • Issue 3 • 1000404
Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
Page 7 of 8
Figure 5: Chromatogram of mixture of 6 metabolites in urine matrix recorded using the FLD.
Acknowledgements
The realization of the experiment was supported by Internal Grant Agency IGA UVLF 05/2018, Urinary biochemical profile of cancer diseases with potential
use in diagnostic practice, Kosice, Slovakia.
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Citation: Valko-Rokytovská M, Očenáš P, Salayová A, Kostecká Z (2018) New Developed UHPLC Method for Selected Urine Metabolites. J
Chromatogr Sep Tech 9: 404. doi: 10.4172/2157-7064.1000404
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Volume 9 • Issue 3 • 1000404