Abstract
This review summarizes and critically evaluates the published approaches and recent trends in sample pre-treatment, as well as both separation and non-separation techniques used for the determination of uric acid (UA) in saliva. UA is the final product of purine nucleotide catabolism in humans. UA concentrations in biological fluids such as serum, plasma, and urine represent an important biomarker of diseases including gout, hyperuricemia, or disorders associated with oxidative stress. Previous studies reported correlation between UA concentrations detected in saliva and in the blood. The interest in UA has been increasing during the past 20 years from a single publication in 2000 to 34 papers in 2019 according to MEDLINE search using term “uric acid in saliva”. The evaluation of salivary UA levels can contribute to non-invasive diagnosis of many serious diseases. Increased salivary UA concentration is associated with cancer, HIV, gout, and hypertension. In contrast, low UA levels are associated with Alzheimer disease, progression of multiple sclerosis, and mild cognitive impairment.
Introduction
Human saliva consists of 99% water and inorganic salts of sodium, potassium, calcium, chlorate, bicarbonate, and phosphate and organic compounds including uric acid (2,6,8-trihydroxypurine, UA), lactate, hormones, polypeptides and proteins, such as immunoglobulins, enzymes, and mucins [1]. Other constituents that may represent potential biomarkers including neopterin, nicotine, nitrates, nitrites, and glutathione can also be encountered in saliva. Studies of salivary immunoglobulin A (IgA) concentrations in HIV patients have suggested that the anti-HIV IgA antibody in the saliva might be a prognostic indicator for the progression of HIV infection [2]. Saliva fulfills multiple functions including lubrication, protection, taste, digestion, buffering action, maintaining tooth integrity, anti-bacterial, anti-fungal, as well as anti-viral activities [3]. Extensive research is currently focused on using saliva as a diagnostic matrix. The principal advantage of saliva in diagnostics is a simple, safe, and non-invasive collection of specimens with a reduced risk of infection compared to invasive methods such as blood sampling in which difficulties associated with blood collection in children or mentally and physically handicapped patients may occur. Disadvantages of saliva as the diagnostic matrix comprise high dilution of the analytes, interferences from food, smoking, and periodontal diseases.
UA is the final product of purine metabolism in the human body (Figure 1) [4], [5]. UA is eliminated from the body predominantly by kidneys and excreted in urine [4]. Excessive UA accumulation in the blood can lead to gout, a disorder characterized by the formation of monosodium urate crystals in the joints, synovial fluid, tendons, and surrounding tissues [5]. Besides gout, hyperuricemia is also encountered in hypertension, stroke, metabolic syndrome, different renal and cardiovascular disorders and Lesch-Nyhan syndrome [6], [7], [8]. Concentrations of UA in the saliva of healthy individuals is 199 ± 27 μmol/L and comparable to concentrations 120–400 μmol/L observed in the serum [6]. Earlier studies reported a linear relationship between serum and salivary UA levels in most cases [1], [6], [9], [10], [11], [12].
![Figure 1:
Synthetic pathway to UA that is the end-metabolic product of adenine and guanine.
Adenine is transformed by adenase to hypoxanthine, which is converted by xanthine oxidase to xanthine and then to uric acid. Adapted with permission from [5]. Copyright (2013) J. Pharm. Anal.](/document/doi/10.1515/cclm-2020-1533/asset/graphic/j_cclm-2020-1533_fig_001.jpg)
Synthetic pathway to UA that is the end-metabolic product of adenine and guanine.
Adenine is transformed by adenase to hypoxanthine, which is converted by xanthine oxidase to xanthine and then to uric acid. Adapted with permission from [5]. Copyright (2013) J. Pharm. Anal.
Several previous clinical studies suggested potential of salivary UA determination to replace blood and urine tests [4], [6], [10], [13], [14], [15], [16], [17], [18]. Clinical laboratories are using saliva only for the determination of few analytes including cortisol [19], immunoglobulin A [20], testosterone [21], and drugs, in particular cannabinoids [22]. UA is not commonly determined in saliva in routine practice despite the fact that it is an important antioxidant [23] and plays a key role in the diagnostic work-up for several disorders. Enzymatic assay kits are mostly used for determination of UA [23], [24], [25], [26], [27]. These kits are easy to use, their acquisition costs in the range of $4–5 is low and can be used for various types of biological matrices such saliva, serum, and urine. Unfortunately, these benefits are offset by the frequent occurrence of interferences associated with insufficient sample volume, low sensitivity, and expiration of reagents that can affect the reaction and lead to false positive or false negative results [28]. Therefore, development of new methods for the determination of salivary UA is highly desirable.
This review is supposed to benefit practitioners in clinical laboratories as well as to other professionals in the field requiring information concerning issues related to collection and determination of salivary UA. We discuss in depth the most of recent literature dealing with the detection techniques for determination of UA. While the previous reviews focused on determination of UA in various biological fluids such as plasma and serum, our review concerns specifically human saliva since it is a noninvasive diagnostic fluid well suited for clinical practice.
Clinical significance of salivary UA concentrations
UA determination in human saliva is of clinical interest for several reasons. As outlined above, saliva presents an advantage as a sample matrix because of non-invasive collection that allows virtually unlimited repetitive sampling in a given subject as well as sample collection of large cohorts. UA is important as an endogenous antioxidant, a biomarker of cardiovascular risk, a target of therapeutic intervention in patients with disorders associated with hyperuricemia, and indicator of renal function. While the utilization of UA as a biomarker of cardiovascular risk or renal failure has certain limitations, salivary UA determination can be potentially useful in population-based screening for selecting individuals requiring more detailed diagnostics.
UA is one of the most important biological antioxidants in humans representing more than 70% of the total antioxidant capacity in saliva as well as in plasma with albumin and ascorbate contributing only a smaller part [29], [30]. UA is formed from xanthine and hypoxanthine by reaction catalyzed with xanthine oxidoreductase [31]. Diurnal variations in the elimination of UA result in changed patterns in salivary UA excretion with elevated UA salivary concentrations observed during sleep [31]. Owen-Smith reported an increase in salivary urate excretion during overnight sleep from 0.12 to 0.4 mmol/L [9].
A major limitation of antioxidant activity of UA is the requirement for hydrophilic environment [32], [33]. Moreover, the presence of ascorbic acid in the plasma is required to achieve the antioxidant effect [34]. The presence of bicarbonate in biological fluids substantially inhibits the ability of UA to prevent tyrosine nitrosylation that causes the oxidative damage of proteins in the cell. On the other hand, UA can also serve as pro-oxidant. Reactions between UA and different oxidants can also produce free radicals generated by NADPH oxidases that propagate radical chain reactions and cause oxidative damage [35], [36], [37].
Several groups proposed that increased salivary concentrations of UA can reflect oxidative stress and the progression of serious disorders such as cancer (head and neck squamous cell carcinoma) [38], and periodontal diseases [30]. On the other hand, the low UA levels in serum are associated with neuronal death and diminished protective effect against oxidative stress, which lead to variety of disease states, including Alzheimer disease, Parkinson disease, and Huntington chorea, multiple sclerosis, and mild cognitive impairment [39]. However, the relationship between low UA levels in saliva and these diseases has not been published yet.
Oral squamous cell carcinoma (OSCC) is one of the most common cancers associated with a high mortality rate. Free radicals in saliva that induce oxidative stress play an important role in the carcinogenesis of OSCC. As outlined above, being a free radical-scavenging antioxidant salivary UA inhibits the chain initiation and breaks the chain propagation. Salian et al. collected saliva from 50 subjects, 25 with OSCC and 25 healthy individuals, and determined UA using uricase method and Griess colorimetric method [31]. A mean UA concentration of 120.7 μmol/L in patients with OSCC was significantly lower compared to 320.0 μmol/L found in the control group. Nitric oxide concentrations were increased in OSCC patients. This study indicated an association salivary UA and oral cancer [31], but a causative link remains to be determined. Another limitation was the requirement for 3 mL sample volume needed for the analysis. Moreover, investigation of salivary concentrations of UA after radiotherapy is difficult because of hyposalivation associated with the treatment.
Elevated UA levels were also associated with emotional disorders such as anxiety and mood disorders [39], [40]. Brain regions including the prefrontal cortex, amygdala, and hippocampus are responsible for stress reaction and emotion regulation. UA could impact emotion by modifying the function of these brain regions. Goodman et al. dealt with hippocampal response to psychosocial stress [39]. Young healthy volunteers participated in the functional magnetic resonance imaging using a modification of the Montreal Imaging Stress Task and salivary UA was determined using Salimetrics enzymatic assay. Salivary UA levels were in the range of 46.4–439.0 μmol/L. The results suggested that activity within the bilateral hippocampal complex was associated with salivary UA concentrations. Specifically, activity within the hippocampus and surrounding cortex increased with UA level. People with increased UA levels were more likely to be impulsive, hyperactive, and uninhibited [41], [42]. This indicates that UA may play an important role in mental health. Therefore, understanding impact of UA on the brain could provide valuable new insight in neural mechanisms that mediate the relationship between UA and mental health.
Soukup et al. demonstrated that salivary UA levels can be a used as a noninvasive approach for screening cardiovascular risks [43]. Among 78 subjects, salivary UA concentration was significantly higher in 27 patients with metabolic syndrome. Positive correlations were observed between salivary UA and systolic and diastolic blood pressure, waist circumference, body mass index, fasting blood glucose, triglycerides, and cardiovascular risk factors. Salivary UA levels were negatively correlated with high-density lipoprotein. However, this study included self-reported oral health status and lacked detailed information including emotional status, nutrition, and alcohol consumption that can affect salivation and UA levels. Thus, this pilot study needs validation on a larger cohort with more detailed information collected.
The clinical significance of UA in saliva and the association with the serum concentration of UA in patients with hyperuricemia was reported by Shibasaki et al. [10]. The correlation between UA concentrations in saliva and serum was examined in 244 subjects divided in two groups with normal (n=158, <416.4 μmol/L) and elevated (n=86, ≥416.4 μmol/L) serum UA concentrations. The group of subjects with normal serum UA was separated to untreated (n=121) and treated (n=37). UA concentrations in saliva and serum were significantly positively correlated (p<0.01) in the untreated group. The group subjects with increased serum UA concentrations (n=86) was again divided in untreated (n=70) and treated (n=16) and the UA concentrations in serum and saliva were determined. The untreated group with increased serum UA exhibited significantly higher UA levels in serum and saliva compared to those with normal serum UA concentrations (p<0.01). Also, UA concentrations in serum of the untreated group were significantly higher than those in saliva (p<0.01). On the contrary, UA concentrations in saliva of the treated group were significantly higher than those of the untreated group (p<0.01). This indicates possibility that oral intake of drugs increases UA concentrations in saliva. These results suggested a significant linear relationship between salivary and serum UA. The authors also indicated a potential for substitution of UA determination in blood with measurement in saliva due to use of simple non-invasive collection. The study was focused on correlation between salivary and serum UA levels, but did not explore the potential of salivary UA as biomarker of hyperuricemia in detail.
Monitoring of UA concentrations in all patients on urate-lowering therapy is important to select the effective drugs and dosage adjustments to reach the target level. Zhao et al. published a case study in which the salivary UA was monitored instead of plasmatic UA in a patient with gout [6]. Allopurinol and benzbromarone were used as the therapeutic drugs. A decrease in salivary UA level from initial 513 ± 67 μmol/L (619 μmol/L in plasma) to less than 300 μmol/L (360 μmol/L in plasma) indicated the efficacy of the therapy. The ratio of salivary UA/plasmatic UA was not affected by therapy. These results need to be validated in further studies in a convenient and abundant group. Compared to healthy controls, significantly higher UA levels in saliva were also observed in diabetic patients [27]. An increased salivary UA level was typical of uncontrolled diabetic patients suggesting its association with the severity of the disease [44].
Methods for uric acid determination
Saliva sample collection
Samples of saliva are usually collected in the morning after an 8-h fasting since saliva production is increased after eating. The treated subjects should not to intake food especially that containing high sugar and caffeine content, liquids, chew gum, and smoking within 30 min prior to sample collection. Any dental treatment should not be carried out within 24 h before collection to avoid contamination with bood [45]. However, the recommendation could differ following the manufacturer’s instructions or research question. Zhao et al. determined salivary, urinary, and plasmatic UA concentrations and proposed salivary UA for monitoring of the status and the therapeutic efficacy of hyperuricemia [6]. Saliva was collected a few times a day, usually once in the morning and once in the afternoon to evaluate therapeutic efficacy of allopurinol and benzbromarone. On the days of blood collection, saliva was collected at least three times, and one collection was accompanied with the parallel blood collection [6]. Unfortunately, these tests were performed only with a single participant. Bilancio et al. [12] compared effect of storage, time of collection, day-to-day variability, and site of collection of UA in saliva. Mid-morning saliva had lower levels of 184 ± 102 μmol/L while standard morning saliva content was 261 ± 166 μmol/L. Frozen-thawed saliva exhibited lower levels of UA ranging 216 ± 118 μmol/L that were smaller than those in fresh saliva with 261 ± 166 μmol/L. Day-to-day variability was comparable. Site of collection, i.e. right and left vestibulum did not affect the results. No smoking within 30 min or more before collection of saliva was also recommended. Zappacosta et al. studied effect of smoking a single cigarette on values of UA in saliva. Their results demonstrated that levels of UA decreased from original 150–285 μmol/L to 120–219 μmol/L after smoking. These results indicated that antioxidant activity in humans decreases as a results of smoking [46] List of published sample collection approaches and found salivary UA concentrations are shown in Table 1.
List of published sample collection approaches and found salivary UA concentrations.
| Sample collection | Sample preparation | Methods | Disease | Control average, µmol/L | Patient average, µmol/L | Ref. |
|---|---|---|---|---|---|---|
| Passive drooling | Protein precipitation | HPLC-DAD | Chronic gouty arthropathy | 513 | [6] | |
| Stimulated saliva by chewing a polyester sponge | SPE | HPLC-UV | 137.5 (ED) | [4] | ||
| Ampero-ED | ||||||
| Coulo-ED | ||||||
| Passive drooling | Dilution and filtration | MS | 136.8 | [16] | ||
| Passive drooling | Dilution and filtration | Ampero-ED | 234.5 | [17] | ||
| Passive drooling | Protein precipitation, Filtration by ultrafree, Centrifugal filter | MS/MS | 46.8 | [55] | ||
| Passive drooling | Dilution, protein precipitation and filtration | UV | 115 | [56] | ||
| Passive drooling | Dilution and filtration | CE-amper-ED | Renal disease | 92.2 | 272 | [16] |
| Salivette system | Dilution and filtration | CZE-UV | 65.4 | [49] | ||
| Passive drooling | Filtration | CIE-UV | 78.1 | [62] | ||
| Passive drooling | Dilution and filtration | Miniaturized CE-ampero-ED | Gout | 52.94 | 850.56 | [14] |
| Passive drooling | Dilution and filtration | CE-ampero-ED | Gout | 70 | 411 | [13] |
| Passive drooling | Centrifugation | Uric acid liquicolor plus assay kit | Oral cavity cancer | 240 | 250 | [26] |
| Passive drooling | Amplex red uric acid/Uricase assay kit | Diabetes type 1 | 443.3 | 438.6 | [67] | |
| Diabetes type 2 | 614.2 | |||||
| Passive drooling | Centrifugation | Uric acid analysis kit, colorimetric method (Cobas mira autoanalyzer) | Oral lichen planus | 124.91 | 285.5 | [66] |
| Passive drooling | Centrifugation | Infinite uric acid liquid kit | Diabetes type 2 | 112.4 | 185.6 | [27] |
| Passive drooling | Centrifugation | Uric acid (liquid) reagent set | Metabolic syndrome | 184.9 | 278.1 | [43] |
| Stimulated saliva by chewing rolled cotton | Centrifugation | Uricase-peroxidase method | Hyperuricemia | 175.5 | 378.3 | [10] |
| Passive drooling | Salivary uric acid enzymatic assay kit | 179 | [11] | |||
| Salivette system | Centrifugation | Enzymatic method | Nephropathy | 261 | 258 | [11] |
| Passive drooling | Centrifugation | Enzymatic method | Women with preeclampsia | 93.4 | 101.1 | [29] |
| Passive drooling | Centrifugation | Enzymatic method | Diabetes type 2 | 358.3 | 461.16 | [44] |
| Salivette system | Centrifugation | Uric acid plus, colorimetric method (automatic analyzer hitachi 917) | Smokers | 186 | 213 | [46] |
Saliva collection can occur using one of two approaches: (i) whole saliva collection and (ii) salivary gland collection. The former is simple and can be performed by the patients themselves. On the other hand, collecting gland saliva requires cannulation using a thin tube inserted into the glandular duct, or by application of special collecting device. The latter sampling procedures are slow, and complicated, and require a specialist to collect the specimens. There is also a difference in sample volumes. Larger volumes of the whole saliva amounting hundreds of µL are easily collected using the former approach. In contrast, samples of individual gland saliva are obtained in much smaller volumes typically tens of µL.
Ngamchuea et al. described collection of whole saliva using both unstimulated and stimulated method [47]. The former approach included passive drooling or spitting directly in a test tube. The spitting method also used by Zhao et al. [6] is simple and comfortable for patients and can be carried out even in the patient home. The Saliva Collection Aid (SCA) commercially available from Salimetrics® (Carlbad, USA) is an assisting device enabling passive drooling [48].
Stimulated whole saliva was collected after mechanical stimulation [47] by chewing inert materials such as a polyester sponge [4] and rolled cotton [10]. The samples were typically centrifuged at 2500–8000 rpm for 10–30 min [4], [10], [49], [50] and the supernatant fluid stored at −20 [4], [6], [50] or 4 °C [13], [14], [15], [27] until analyzed. The commercial Salivette system includes a plain cotton swab designed for collection of saliva is available from Sardstedt [51]. First, the cotton swab is placed under the tongue for 5 min and then centrifuged in the Salivette tube at 1,000 × g for 10 min. The advantages of this system over the typical spitting in passive drool to a tube are the simplicity and enhanced hygiene of the collection, the lower viscosity of the saliva, as well as the ease of removal of dead cells, glycoproteins, and other subcellular substances [12], [38], [46], [50].
Another approach enabling collection of saliva is Saliva Collection System (SCS) and Saliva Quantification Kit (SQK) both being commercially available from Greiner Bio-One GmbH (Kremsmuenster, Austria) [52]. This system was used by Nunes et al. [52]. Initially, a rinsing solution (27 mmol/L citric buffer, pH 7.0) was used to clean the oral cavity. Next, the cavity was rinsed with 4 mL of the saliva extraction solution including 39 mmol/L citric buffer pH 4.2, and tartrazine, which is a synthetic water soluble yellow food dye, for 2 min. The entire contents of the oral cavity were then spat in a beaker. The contents of the beaker referred to as an “oral fluid sample” including saliva extraction system and saliva were then transferred in graduated vacuum sample-transfer tubes, and the volume measured. The oral fluid samples were centrifuged at 2,200 × g for 10 min at 4 °C. The sample collected using Saliva Collection System contained tartrazine as an internal standard. The concentration of tartrazine was determined photometrically at 450 nm. Thus, they obtained the UA content in the oral fluid reported in % v/v by comparing with internal standards supplied by Saliva Quantification Kit (Greiner Bio-One GmbH, Kremsmuenter, Austria). The graduated tubes allowed to quantify the volume of collected oral fluid. This system is very complex, it use time-consuming, and an expert is required for the collection. On the other hand, using internal standard provided more accurate information concerning yield of human saliva without dilution.
Collection of whole saliva could be problematic in patients with hyposalivation. This symptom is very common and is often seen as a side effect of many types of medication. Dehydration, irradiation of the salivary glands, and chemotherapy can cause reduced salivation or a change in saliva composition and cause hyposalivation.
Sample pre-treatment
Sample preparation is the typical key step in laboratory diagnostics preceding the high-performance liquid chromatographic (HPLC) separation. Sample pre-treatment usually requires about 80% of the total analysis time and is the main source of errors [54].
Emphasis in modern laboratories is placed mainly on simple, fast, cheap, and robust procedures suitable for handling large numbers of samples. The most common approaches used independently or in combination in process of UA determination in saliva are filtration, centrifugation, protein precipitation, and solid phase extraction (SPE).
For example, Soukup et al. reported mucin as the principal interference in UA determination [43]. It was removed by centrifugation and the supernatant was subsequently processed in a spin column to remove peroxidase enzymes.
Protein precipitation, the traditional technique used in biological sample preparation, remains very popular due to its simplicity [54]. The disadvantage of this nonselective method is dilution of the sample and frequently a high content of interferences in the extract. The total protein content in saliva is 7.1–223.2 mg/dL compared to 6,000–8,000 mg/dL in serum [47]. Solvents such as acetonitrile [50], [55] and perchloric acid [6] are typically used as precipitation agents. For example, 50 μL saliva was mixed with 100 μL 0.6 mol/L perchloric acid to determine UA in patients with chronic gouty arthritis. The mixture was vortexed and centrifuged at 12,000 rpm for 10 min at 4 °C. Then, 100 μL supernatant was transferred in a micro-sampling vial and analyzed using HPLC system [6].
Commercially available centrifugal ultrafiltration tubes were also used for sample pre-treatment. The passage of substances through the membrane occurs via centrifugal force exerted by conventional centrifuge. This approach allows processing of large series of very small amounts of biological samples [55]. For example, the Ultrafree centrifugal filter was used prior to the HPLC-MS/MS in analyzing UA and creatinine in saliva [55]. The samples were diluted with water and precipitated by acetonitrile. The supernatant after common centrifugation was transferred in centrifugal filters and centrifuged at 11,200 × g for 5 min at 4 °C. The recovery of creatinine and UA from saliva ranged 93.1–98.1%, and 94.6–98.8%, respectively. Despite its high recovery, this pre-treatment represents a complex multistep technique that can limit the use in routine practice.
SPE is currently one of the most frequently used techniques for pre-treatment of saliva prior to determination of UA and has a great potential in highly selective sample preconcentration enabling miniaturization and automation. Saliva is usually extracted using single reversed phase SPE or in combination with a sorbent featuring a different chemistry. For example, Oasis MAX SPE cartridge filled with the mixed-phase adsorbent accommodates reversed-phase and strong anion-exchange chemistries. This cartridge was used by Inoue et al. in HPLC analysis of salivary UA [4]. The recovery rate of UA exceeded 95%. However, this technique is time consuming mainly due to the need for evaporation.
Despite the success of this method, it is desirable to miniaturize and automate this method to reduce both time and number of steps. So far, miniaturization and other current trends in sample preparation such as disposable pipette tips microextraction (DPX) and centrifugal filters for reduction of protein and DNA contents were not applied for salivary UA determination yet although these approaches might represent numerous benefits for patients and operators, including high recovery, lower solvent consumption, and easy processing of large series of samples [54].
Analysis
Chromatographic methods are the most common analytical separation techniques for the determination of salivary UA levels. Additional techniques that have been used are capillary electrophoresis (CE), enzymatic colorimetric assays, and biosensors.
Chromatography
Depending on the type of detector, HPLC is highly sensitive and reproducible analytical technique enabling the separation of various analytes and biomarkers. For the determination of salivary UA HPLC is usually combined with sensitive detection techniques such as mass spectrometry (MS), electrochemical (ED), and fluorescence detection. The separations were most often carried out using reverse phase mechanism. The stationary phase of choice was octadecyl bonded silica (C18) with a particle size of 5 μm. The HPLC columns had a length of 150–250 mm and an internal diameter of 2.0–4.6 mm [4], [10], [17], [56]. Poroshell EC-C18 column (3.0 × 50 mm, 2.7 µm) were also used [55]. The mobile phases were phosphate buffer with pH adjusted using trichloroacetic acid and sodium citrate in combination with methanol and used in isocratic elution [4], [10], [16], [17] although a gradient elution was also applied [55]. UA is a polar analyte with pKa equaling 7.25 and logP=1,544 that enable achieving good retention in acidic mobile phases with no or very small percentage of an organic modifier to be used. The newest version of HPLC, the ultra-high-performance liquid chromatography (UHPLC), was not reported for the determination of salivary UA yet. This highly efficient method relies on use of columns packed with sub 2 μm particles that expedite the analysis time. The HPLC methods used for the determination of UA in saliva are collected Table 2. In general, all the methods required a complex sample pre-treatment technique and were used with small cohorts of patients.
List of HPLC methods used for the determination of UA in saliva.
| Sample preparation | Column | Mobile phase/flow rate | Detector | Injection volume, µL | Analysis time, min | LOQ, µmol/L | Ref. |
|---|---|---|---|---|---|---|---|
| Protein precipitation | Agilent ZORBAX SB-C18 (100 × 3.0 mm, 3.5 µm) | 20 mmol/L sodium acetate, 30 mmol/L acetic acid and 1% methanol, 0.4 mL/min | DAD | 5 | 4 | 0.13 | [6] |
| SPE | CAPCELL PAK C18 UG 120 (150 × 2.0 mm, 5 μm) | Isocratic potassium phosphate buffer (74 mmol/L, pH 3.0), 0.2 mL/min | UV | 20 | 10 | 0.60 | [4] |
| SPE | CAPCELL PAK C18 UG 120 (150 × 2.0 mm, 5 μm) | Isocratic potassium phosphate buffer (74 mmol/L, pH 3.0), 0.2 mL/min | Ampero-ED | 20 | 10 | 0.01 | [4] |
| SPE | CAPCELL PAK C18 UG 120 (150 × 2.0 mm, 5 μm) | Isocratic potassium phosphate buffer (74 mmol/L, pH 3.0), 0.2 mL/min | Coulo-ED | 20 | 10 | 0.02 | [4] |
| Dilution and filtration | Zorbax sax (150 × 4.6 mm, 5 μm) | 50% sodium citrate (1 mmol/L, pH 6.5), 50% acetonitrile, 1 mL/min | MS | 10 | 5 | 0.42 | [16] |
| Dilution and filtration | Hypersil hypurity C18 (250 × 4.6 mm, 5 μm) | Trichloroacetic acid (50 mmol/L), adjusted to pH 2.7 with sodium hydroxide modified With 5% methanol, 0.6 mL/min |
Ampero-ED | 50 | 8 | – | [17] |
| Protein precipitation, Filtration by ultrafree Centrifugal filter |
Poroshell EC-C18 (3 × 50 mm, 2.7 µm) | Gradient elution (A: water, ACN, FA (v/v; 47/50/3), B: ACN/FA (v/v; 98/2), 0.5 mL/min | MS/MS | 5 | 5 | 0.15 | [55] |
| Dilution, protein precipitation and filtration | Luna C18 (250 × 4.6 mm, 5 μm) | Methanol and 50 μmol/L acetic buffer solution (pH 4.0) (3:97, v/v), 0.7 mL/min | UV | 20 | – | – | [56] |
Inoue et al. investigated detection methods allowing the determination of salivary UA using reverse phase HPLC. and compared ultraviolet (UV), amperometric (Ampero-ED), and coulometric (Coulo-ED) detection. A C18 column (150 × 2.0 mm, 5 μm), isocratic elution with potassium phosphate buffer (74 mmol/L, pH 3.0) mobile phase, a flow rate of 0.2 mL/min, an injection volume of 20 μL, and a total run time of 10 min were used. The limits of quantification (LOQ) using UV detection at 284 nm were 0.6 μmol/L, while it was 0.01 μmol/L for Ampero-ED and 0.02 μmol/L for Coulo-ED. Figure 2 demonstrates that HPLC-ED methods were significantly more sensitive than their UV counterpart. The authors also compared the Ampero-ED with single-electrode and Coulo-ED with multi-electrode arrays. The linear relationship in both electrochemical detectors was good in a range of 60–6,000 nmol/L and the correlation coefficient was over 0.999 [4]. This result demonstrated that ED for determination of salivary UA was useful, sensitive, and fast. However, samples acquired from only six healthy volunteers were tested. An extended cohort of participants needs to be tested in the future to confirm applicability of this method in clinical practice. Ampero-ED was also used by Honeychurch who achieved a good limit of detection (LOD) of 0.0059 μmol/L. The detection response was linear in a range of 0.02–16.65 μmol/L for UA and the coefficient of variation was 8.8% [17]. The general concepts of connection HPLC with ED were nicely described in the book by Flanagan et al. [57].
![Figure 2:
HPLC chromatograms of 6 mmol/L UA standard using UV detection at 284 nm (A) and amperometric electrochemical detection at 1600 mV (B).
These data were obtained by C18 column (150 × 2.0 mm, 5 μm), isocratic elution with potassium phosphate buffer (74 mmol/L, pH 3.0) as the mobile phase, a flow rate 0.2 mL/min, an injection volume of 20 μL, and a total run time of 10 min. Adapted with permission from [4]. Copyright (2003) J. Chromatogr. B.](/document/doi/10.1515/cclm-2020-1533/asset/graphic/j_cclm-2020-1533_fig_002.jpg)
HPLC chromatograms of 6 mmol/L UA standard using UV detection at 284 nm (A) and amperometric electrochemical detection at 1600 mV (B).
These data were obtained by C18 column (150 × 2.0 mm, 5 μm), isocratic elution with potassium phosphate buffer (74 mmol/L, pH 3.0) as the mobile phase, a flow rate 0.2 mL/min, an injection volume of 20 μL, and a total run time of 10 min. Adapted with permission from [4]. Copyright (2003) J. Chromatogr. B.
MS is becoming a routine analytical technique used in clinical laboratories typically including electrospray ionization technique in combination with quadrupole mass analyzer. This ionization technique was also applied for the MS determination of UA in both positive (+) [55] and negative-ion modes (−) [15]. Perelló et al. used the latter in the selected ion monitoring mode with anion exchange liquid chromatography for determination of salivary UA [16]. These authors applied a 20-fold diluted standard solution to provide better corrections of the matrix effects. The calculated LOQ was 0.42 μmol/L. Burger et al. analyzed 8 saliva samples using an alternative procedure based on enzymatic-photometric method [58]. The regression graph followed equation y=0.969 x + 0.923, R2=0.967 where y represented concentration obtained using the present method and x concentration determined with its enzymatic-photometric counterpart. Both methods were statistically comparable to the graph y=x at a 95% confidence level showing a good agreement between these methods [16]. Interestingly, they achieved a similar LOQ of 0.6 μmol/also L using UV detection [4]. These results suggest that UV, enzymatic, and MS detection have comparable sensitivity for determination of salivary UA.
Liu et al. developed a very fast, sensitive, and accurate HPLC method with MS/MS detection for determination of UA in saliva using an internal standard 15N labeled uric acid [55]. Saliva obtained from 28 healthy volunteers across the age, gender, and body mass index spectrum was tested. The UA determination range was 0.06–29.8 μmol/L. UA concentrations in saliva diluted with water in the range 5:7 were 46.8 ± 18.2 μmol/L.
Although all the HPLC-MS methods exhibited high sensitivity, until now only a handful of studies used MS detection for determination of UA in saliva. This is likely due to missing HPLC-MS hardware in clinical laboratories.
Capillary electrophoresis
CE is frequently used method for the determination of UA in trace analysis because it requires only small sample volumes in the range of nanoliters to femtoliters, the sample pre-treatment time is usually short, column efficiency is high, and CE is in general environmentally friendly [7]. The main advantage of CE in the determination is the negative charge of UA at a pH value of about 3.9 [59]. Rapid separations are feasible because high voltage and short capillaries can be applied in short capillaries [7]. A voltage of 30 kV was most often applied between the ends of a fused-silica capillary and samples injected electrokinetically. For the determination of UA in saliva, CE was coupled to a variety of detectors including UV [50] and mostly used Ampero-ED [13], [14], [15], [48]. A list of CE methods used is shown Table 3.
List of CE methods used for the determination of UA in saliva.
| Sample preparation | Method | Column | Background electrolyte | Detector | Analysis time, min | LOD, µmol/L | Ref. |
|---|---|---|---|---|---|---|---|
| Dilution and filtration | CE | Fused-silica capillary (75 cm length of 25 µm i.d., 360 µm o.d) | 80 mmol/L H3BO3–Na2B4O7 buffer, pH 7.6–8.2 | Ampero-ED | 24 | 0.66 | [15] |
| Dilution and filtration | CZE | Fused-silica capillary (33 cm × 50 μm i.d., 365 μm o.d.) | Sodium phosphate buffer, pH 6.5 | UV | 6 | 13.68 | [49] |
| Filtration | CIE | Fused-silica capillary (60 cm length of 75 μm i.d., 360 µm o.d) | 10 mmol/L Na2HPO4/NaH2PO4 buffer, pH 7 | UV | 38 | 3.42 | [62] |
| Dilution and filtration | Miniaturized CE | Fused-silica capillary (8.5 cm length of 25 μm i.d., 360 μm o.d.) | 12 mmol/L Na2B4O7, 44 mmol/L KH2PO4, pH 6.0 | Ampero-ED | 5 | 0.27 | [14] |
| Centrifugation, dilution | CE | Fused-silica capillary (57 cm length of 25 μm i.d.) | 20 mmol/L borate buffer, pH 9.24 | Ampero-ED | 22 | 0.86 | [48] |
| Dilution and filtration | CE | Fused-silica capillary (75 cm length of 25 µm i.d., 360 µm o.d) | 80 mmol/L H3BO3–Na2B4O7 buffer, pH 7.6–8.2 | Ampero-ED | 15 | 0.33 | [13] |
For example, Xing et al. used Ampero-ED with fused-silica capillary (57 cm long, 25 μm i.d.) and the borate buffer (20 mmol/L, pH 9.24) as the background electrolyte (BGE). Samples were injected electrokinetically applying 10 kV for 8 s [48]. A copper wire of 0.45 mm in diameter was used as the working electrode. The applied potential to the working electrode was maintained at +0.655 V with respect to saturated calomel electrode (SCE). These authors monitored effect of aerobic exercise on creatinine and UA levels in saliva and urine to determine the muscle growth and the intensity control of the exercise. Saliva collected before and after 2 h long exercise of medium intensity was analyzed. The linear range for UA was 0.59–2,380 μmol/L and LOD 0.86 μmol/L. However, the linear range is disputable since the authors published the first point in the concentration range lower than LOD. UA content in saliva increased after aerobic exercises from 166.2 ± 14.5 to 249.3 ± 17.8 μmol/L providing a valuable tool to study muscle growth and intensity control in aerobic exercises. No formal statistics analyses were presented.
Gonzalez et al. also focused on the effect of aerobic exercise on UA in saliva determined using enzymatic method [60]. This study confirmed again an increase in the content of UA after exercise. The exercise appeared to inhibit oxidative stress in saliva. On the contrary, Franco-Martínez et al. measured the UA levels in saliva using enzymatic method and did not revealed any changes after the effort sequences including 60 m dash [61].
Guan et al. utilized Ampero-ED detection with fused-silica capillary (75 cm long, 25 µm i.d., 360 µm o.d.) and 80 mmol/L borate buffer pH 7.6–8.2 as BGE [13]. Samples were injected electrokinetically applying 14 kV for 6 s. Working electrode was carbon disk with a diameter of 300 μm and the applied potential +0.950 mV (vs. SCE). The determination range for UA was 0.5–500 μmol/L and the LOD 0.33 μmol/L. This study focused on determination of UA and co-existing analytes xanthine, hypoxanthine, and ascorbic acid in the diagnosis of gout. Applicability of this method was tested on three healthy volunteers and three patients suffering from gout. The salivary UA concentration found for the patients was higher compared to the healthy controls [13]. No statistics was shown due to the insufficient cohort of tested individuals.
These authors later refined the original electrophoretic method [15] while determining salivary UA and p-aminohippuric acid in patients suffering from renal disease. The determination range for UA was 1–200 μmol/L and LOD 0.66 μmol/L. The UA levels in patients with a mean value of 272 μmol/L (n=3) was several times higher than that found for healthy volunteers (mean value=92.16 μmol/L, n=3). Although the sample pre-treatment was simple and rapid, use of Ampero-ED required long analysis times of about 20 min thus making these methods unsuitable for large sample series.
Capillary zone electrophoresis (CZE) was also utilized for determination of UA. Tanaka et al. used fused-silica capillary (33 cm long, 50 μm i.d., 365 μm o.d.), sodium phosphate buffer pH 6.5 as BGE, the hydrodynamic injection for 6 s at 5 kPa, the applied voltage −10 kV, and a low sensitivity UV detection at 214 nm [50]. The determination range for UA was between 23.7 and 1,189.7 μmol/L and LOD 13.68 μmol/L. They monitored oxidative and nitrosative stress in four healthy volunteers via the determination of daily variations in nitrite, nitrate, thiocyanate, and UA in saliva probed at 2 h intervals during the day. Elevated UA concentrations were observed at 11:00 a.m. Stability of the collected saliva before and after deproteinization was also assessed. The contents of the anionic components remained stable over a period of 48 h in the refrigerator and for 4 h at room temperature. Sample extracts ready for injection were stable for 48 h at room temperature [50]. The daily variations were determined without explicit consideration of both endogenous and exogenous factors such as smoking and eating during the day. These results indicate that the stability of salivary UA in both groups, i.e. before and after deproteinization for mere 48 h may not be sufficient for clinical studies. Extension of this period to weeks or even months would be useful for giving the clinical laboratories enough time to execute the analyses.
Capillary ion electrophoresis (CIE) with UV detection was used for determination of UA by Mori et al. [62] using fused silica capillaries (60 cm long, 75 μm i.d., 360 µm o.d.) coated with poly(vinyl alcohol) and 10 mmol/L phosphate buffer pH 7 BGE containing hexamethonium dichloride as the ion-pairing agent. The reproducibility of the method was simply enhanced by conditioning with BGE. The poly(vinyl alcohol) coating minimized protein adsorption and was stable over a wide range of pH 2.5–9.5. The constant voltages applied were 15 kV for electro-osmotic flow and −15 kV for anion separation. This approach allowed determination of UA in saliva in 13 min. The UA determination range was 0.1–1 mmol/L and LOD 3.42 μmol/L. The UA recoveries of 10-times diluted concentrations (n=3) using standard addition method were within the range of 86–108%. Anions in saliva collected after an overnight fasting from 12 healthy volunteers comprising nine males (four smokers and five-non-smokers) and three women (all nonsmoker) were determined. The concentration of UA in non-smoker male saliva was 0.110 mmol/L while it was 0.138 mmol/L for smokers. These values were about 2-times higher than 0.072 mmol/L observed for nonsmoker females. The cohort of patients in this study was again small and did not include smoking females. The direct injection of human saliva in the capillary was used to circumvent the low sensitivity of UV detection resulting from small injection volumes.
Trends focusing on miniaturization of analytical devices can be traced in recent years resulting in significant advantages such as a decrease in the separation time, high performance and throughput, reduced consumption of solvents, system integration, and multiplexing compared to techniques using conventional size devices.
For example, Chu et al. introduced miniaturized CE with Ampero-ED for the determination of UA in saliva and urine [14]. Feasibility of the device as an alternative to conventional CE was evaluated and confirmed its potential for the fast diagnosis of gout. The system was constructed at a 25 × 100 × 2 mm poly(methyl methacrylate) (plexiglass) base plate. A fused-silica capillary (8.5 cm long, 25 μm i.d., 360 μm o.d.) was used as the separation device and borate buffer pH 5.8–6.6 as BGE were used for the separation. BGE pH 6.0 was found optimal for the analysis. Four analytes including UA, xanthine, hypoxanthine, and ascorbic acid were separated within 3 min. BGE had to be replaced every 60 min to maintain the stability of the miniaturized CE-Ampero-ED system. Samples were injected electrokinetically applying 30 kV. A carbon disc with a diameter of 300 μm served as the working electrode and its potential was kept at +0.40 V (vs. Ag/AgCl reference electrode). The UA determination range was 2.97–1,189.68 μmol/L and LOD 0.27 μmol/L [14]. These results were in accordance with the previous CE-Ampero-ED study [13]. The miniaturized CE was designed for fast diagnosis of gout, but application of this system for that diagnostics was not confirmed. Only one patient with gout was tested who had UA level by higher 260.58 μmol/L than compared to that of a healthy volunteer. However, microchip CE is so far not generally available in diagnostic laboratories.
Enzymatic and optical instrumental methods
Enzymatic colorimetric assay kits were also used for the determination of UA and are usually the technique of choice for salivary UA analysis in clinical studies diagnosing metabolic syndrome [43], renal diseases [25], OSCC [63], and other oral diseases [23]. The principal advantages are simplicity, often high speed, no requirements for complex hardware, and commercial availability. Unfortunately, some of these assays suffer from cross reactions, each kit typically allows for analysis of only a single analyte, and some assays have inadequate sensitivity (e.g. 4.16 μmol/L [24]) in biological matrices such as renal and dental calculi [10]. The high costs speak against the use in large sample series.
The majority of kits for the determination of UA relies on the reaction catalyzed by enzyme uricase specific for UA. Back in 1941, Bulger and Johns proposed a method for detecting UA levels in human body using uricase [58]. UA reduced ferricyanide in the protein-free filtrate at pH 11 and temperatures of 3–5 °C.
Uricase oxidized UA to an allyl derivative that does not reduce ferricyanide. Change in the intensity of the color enabled calculation of UA content. The method is simple as only a single enzyme is involved. However, the reduction of ferricyanide can also be caused by other reducing substances present in biological samples. Thus, the results can be biased by the significant positive error. This especially applies for whole blood. UA can also get lost during the precipitation of proteins from the whole blood, this being another source of error.
The enzyme coupling method developed by Emerson [64] that calculated UA levels based on quantitative determination of hydrogen peroxide eliminated these deficiencies and improved the selectivity and sensitivity of UA detection. The concept of this enzymatic UA assay relied on oxidation of UA using uricase under formation of allantoin and the hydrogen peroxide according to the following reaction catalyzed by uricase:
Hydrogen peroxide was then used in the second enzymatic reactions of 4-aminoantipyrine (4-AAP) and 2-hydroxy-3,5-dichloro-benzenesulfonate (HDCBS) catalyzed by peroxidase to yield a chromogen [65]:
The absorbance of the chromogen product was then detected at a variety of wavelengths including 520 [24], [43], 548 [31], 546 [66], and 560 nm [67].
A different enzymatic uricase assay used measurement of fluorescence for detection of UA at excitation and emission wavelengths of 550 and 590 nm, respectively [25]. This method proved to be stable and reproducible and was greatly promoted for the early detection of UA.
Another approach for determination of UA comprised solution-based colorometric chemistries in the test-strip format. When the strip is exposed to a sample containing UA, cupric ion present is reduced to cuprous ion, which then forms a chelate with sodium bicinchoninate. The intensity of the resulting deep-violet precipitate is proportional to the amount of UA present in the sample. This test was used in the detection of UA in saliva of patients with the end-stage renal disease. The samples were collected from 19 patients immediately before and after dialysis and from 10 healthy controls. The test strips were imaged in a desktop digital scanner after immersing in the samples. The color intensities were determined by means of the histogram function in Adobe Photoshop and converted in concentrations by comparing the intensities with a calibration curve of digitally analyzed test strip color intensities produced by calibrator solutions of known concentration. Although the initial mean UA value 202 μmol/L for the patients with renal disease and the healthy controls (160 μmol/L) were not significantly different (p=0.12), the final mean concentrations observed for the patients and healthy controls were (p=0.0077 for UA). This saliva diagnostic test can reduce the number of blood tests in anemic and pediatric patients with renal disease [25]. Yet, it requires further study with comprehensive saliva samples cohorts to conclusively evaluate the clinical potential.
The Salimetrics® (Carlsbad, USA) uric acid enzymatic assay kit with a LOD of 4.16 μmol/L is a colorimetric assay of UA in humans and some animals [24]. It was designed for research purposes only, not intended for diagnostic use and was not validated for detection in serum and plasma. This method requires only a short incubation period and utilizes enzymatic reaction that produces a red chromogen. The utilization is simple since the reaction is carried out and read in a 96-well microtiter plate with standard and controls provided. However, its sensitivity is low compared with HPLC methods and a large kit-to-kit variability was also observed [28]. Intra- and inter-laboratory assay variability depends on the platform used. The typical deviation range is 5–15% for the former and 15–30% for the latter. The kit was used in a study of relationship between baseline UA levels in saliva and brain function [39].
Although the Uric Acid Liquicolor Plus assay kit [26], the Uric Acid Plus [38] (both from Boehringer Mannheim GmbH, currently Roche Diagnostics GmbH, Mannheim, Germany), and the Infinite Uric Acid Liquid Kit (from Accurex Biomedical Pvt. Ltd., Mumbai, India) [27] are approved only for UA detection in serum and plasma, they were also used in clinical research with saliva [25], [67]. The selectivity of kits can be affected by matrix effects since immunoassays are generally not coupled with sample extraction or separation [28]. List of commercial kits using enzymatic methods for the determination of UA in saliva is presented in Table 4.
List of commercial kits using enzymatic methods for the determination of UA in saliva.
| Name | Producer | Ref. |
|---|---|---|
| Salivary uric acid enzymatic assay kit | Salimetrics® (Carlsbad, USA) | [24], [39] |
| Uric acid analysis kit, colorimetric method (EOS BRAVO–Hospitex diagnostics) | Biosystems diagnostics (Spain) and by randox (UK) | [23] |
| Uric acid liquicolor plus assay kit | Boehringer mannheim (Germany) | [26] |
| Amplex red uric acid/Uricase assay kit | Thermo Fisher scientific (waltham, USA) | [25], [67] |
| Uric acid analysis kit, colorimetric method (Cobas mira autoanalyzer) | Roche diagnostics (basel, Switzerland) | [66] |
| Infinite uric acid liquid kit | Accurex biomedical (Mumbai, India) | [27] |
| Uric acid liquid kit | Sentinel CH (milan, Italy) | [63] |
| Uric acid (S.L), colorimetric method | Agappa diagnostics (India) | [31] |
| Uric acid plus, colorimetric method (automatic analyzer hitachi 917) | Boehringer mannheim (Germany) | [38] |
| Uric acid (liquid) reagent set | Pointe scientific (Canton, MI) | [43] |
Vakh et al. published an innovative approach for the determination of salivary UA using an automatic chemiluminescence analysis of complex samples [56]. A multi-pumping flow system was successfully combined with a fluidized reactor and direct injection chemiluminescence detector. The fast luminol-N-bromosuccinimide reaction with UA in an alkaline medium was used to create the chemiluminescence. The method included online separation of UA from saliva using fluidized beds comprising anion exchange resin Dowex® 2×8 followed by the elution and chemiluminescence determination in a direct injection detector. The stroke pulsations of the solenoid micro-pumps provided the floating of the anion exchange resin in the sample phase and then UA separation from the matrix in the sample pre-treatment block of the flow system. The LOD was 2 μmol/L. The determination linear logarithmic concentration range for UA was 6–1,000 μmol/L. The results were confirmed by reference HPLC-UV method. The F-test values ≤19 indicated insignificant difference in precision between both methods at a 95% confidence level. Thus, this method was the first automatic miniaturized procedure for the UA determination in saliva. The major advantages of this method were the need for only small quantities of sample (100 μL sample without dilution) and reagents, as well as generation of less waste (3 mL). However, the sample throughput and sensitivity was lower than in other flow and optical methods [68], [69]. Provided these limitations were eliminated, this approach may have a great potential in the determination of UA in clinical saliva samples.
Biosensors
Biosensors are small, fully integrated analytical instruments used for the detection and quantitation of a specific substance or analyte. The development of rapid, selective, sensitive, and cost-effective sensors has been a major issue in bioanalytical science over the last 20 years [70].
An optical or electrochemical transducer in the biosensor transforms target substances or their products in simple and quantifiable signals that are proportional to the concentration of the analyte. The signal is processed using associated electronics and integrated software systems [71]. Significant efforts are currently focused on new materials for the design of electrochemical biosensors featuring low limits of detection.
Salivary analysis using HPLC often requires relatively large volumes of sample and involves multiple step sample handling. These steps can include labeling, freezing, transportation, sample preparation, sorting, loading in an analyzer, analysis, and finally, reporting the results. This is a lengthy process in which each step has to be carried out carefully to avoid degradation of the salivary components. These issues have led to the requests for a rapid and reliable quantification of salivary biomarkers and resulted in the development of biosensors. Current biosensors allow the fast and accurate determination of UA [72]. The ability to immediately collect and analyze biomarkers in saliva with a single sensor offers numerous advantages in clinical applications [73]. Typical UA electrochemical sensors produced in recent years were summarized in the excellent review by Wang et al. [74].
The first UA sensors were developed already in the 1970s [75]. This approach included oxidation of UA using uricase with concomitant formation of allantoin and hydrogen peroxide. Uricase in the typical sensors is usually immobilized on an electrode, catalyzes reaction of UA, and the resulting product is detected. The uricase reaction in solution is controlled by temperature and pH. Its immobilization enhances its stability and activity. Electrodes derived from organic and inorganic materials collect electrons produced by the enzyme catalyzed reaction. UA determination using free and immobilized uricase was compared by Çete et al. [76]. The enzyme immobilized on platinum/polypyrrole-ferrocenium film enabled highly reproducible and stable results, maintaining 77.7% of the initial amperometric response at the end of the 30th measurement. Similarly, the amperometric response at the end of the 7th week of operation was 49% for the immobilized enzyme while 42% for its free counterpart. The kinetics of free uricase and immobilized in platinum/polypyrrole-ferrocenium film were characterized by Km 0.39 and 0.44 mmol/L, and Vmax 0.71 and 0.84 μmol/L/min under optimum conditions of pH 8.5 and 8.0 and temperature 35 and 55 °C, respectively.
Another approach to determination of UA developed by Moreas et al. relied on amperometric detection following the anodic oxidation of H2O2 [75]:
The major disadvantage of this technique was oxidation of UA itself on platinum, gold, and carbon electrodes. They prepared and characterized amperometric biosensors using layer-by-layer formed films comprising enzyme urate oxidase alternated with polyethylene imine or poly(diallyldimethylammonium chloride). The layer-by-layer method for immobilizing enzyme had advantages such as minimized protein denaturing and mild conditions for production of the films. Detection of H2O2 was carried out at 0.0 V (vs. SCE), thereby avoiding oxidation of UA. Biosensors had a limit of detection of 0.15 μA μmol/L cm2 for a 10-bilayer film with polyethylene imine and 0.36 μA μmol/L cm2 for poly(diallyldimethylammonium chloride). The linear response was between 0.1 and 0.6 μmol/L of UA. These values appeared as sufficient for use in clinical tests and this method is currently gaining on popularity [75]. However, no clinical results were presented yet.
Kim et al. designed biosensors for determination of salivary UA including a wireless amperometric circuit paired with a Bluetooth low energy communication system-on-chip for miniaturized and low-power operation [18]. The system was integrated in a salivary metabolite mouth guard sensor for a real time amperometric monitoring shown in Figure 3. This approach provided higher selectivity, sensitivity, and stability in comparison with previous study [77] in which O-phenylenediamine membrane and Prussian blue were used. The sensitivity was 2.32 μA/mmol/L in artificial saliva and 1.08 μA/mmol/L in real undiluted saliva. The mouthguard UA biosensor was also tested for practical use in monitoring hyperuricemia and the UA contents in saliva of healthy volunteers and hyperuricemia patients were compared. The UA concentration obtained as an average of 3 measurements per hour for 5 h was 178.5 ± 20.7 μmol/L for the healthy group and 822.6 ± 26.25 μmol/L for the hyperuricemic counterparts. Both groups produced consistent UA levels with small variations occurring due to circadian rhythm during the day and the food intake [18]. The effect of circadian rhytm on the salivary UA levels was described by Castagnola et al. [78]. All experiments were carried out using Eapp = −0.3 V (vs. Ag/AgCl electrode) and a sampling time of 60 s. A great advantage of this biosensor was its ease of use. However, the toxicity and biocompatibility during the real-life application in humans remains to be studied. If nontoxic, this biosensor can enable production of a portable systems for monitoring UA in health and fitness environment.
![Figure 3:
The mouthguard biosensor integrated with wireless amperometric circuit board (A). Reagent layer of the chemically modified printed Prussian-Blue carbon working electrode containing urease for salivary UA biosensor (B). Photograph of the wireless amperometric circuit board (C). front side (left) and back side (right).
Adapted with permission from [18]. Copyright (2015) Biosens. Bioelectr.](/document/doi/10.1515/cclm-2020-1533/asset/graphic/j_cclm-2020-1533_fig_003.jpg)
The mouthguard biosensor integrated with wireless amperometric circuit board (A). Reagent layer of the chemically modified printed Prussian-Blue carbon working electrode containing urease for salivary UA biosensor (B). Photograph of the wireless amperometric circuit board (C). front side (left) and back side (right).
Adapted with permission from [18]. Copyright (2015) Biosens. Bioelectr.
Several other groups also developed biosensors for quantification of UA in saliva. For example, Zhao et al. designed ZnS nanostructure-based electrochemical and photoelectrochemical biosensors [79]. Jindal et al. combined the n-type ZnO and p-type CuO to produce an array of p-n junction heterostructures and used these for low-powered biosensors [80]. Despite some potential for use in clinical practice, these methods were not used for the real-life analyses yet. Current UA sensors have high sensitivity and good specificity, but they are somewhat difficult to prepare and operate.
Conclusions
The utilization of saliva as the sample matrix is being increasingly included in the modern biochemical tests. The determination of salivary UA as an important antioxidant and biomarker of serious diseases is an example of this trend. Saliva collection is an issue that still requires attention. Today, whole saliva and individual gland collection are the most common methods.
Sample pre-treatment in bioanalysis is usually the major time-consuming process in sample processing. The techniques applied prior to salivary UA determination are very simple and include dilution, centrifugation, and filtration, and can be easily applied for a large sample series. For example, use of multiwell plate filters or multichannel pipette appear to be an effective way to save time. However, this promising tool for clinical analysis remains to be applied in the determination of UA.
While enzyme-based methods and immunoassays remain predominant in routine laboratories despite their limitations, the replacement with new instrumental methods is desirable. HPLC and CE represent the emerging separation techniques used in salivary UA determination. Most developed HPLC methods rely on the separation using reverse phase columns followed by various detection systems. The lowest LOQ using real-life saliva samples was observed with Ampero-ED detection. These were even better than those obtained by MS. Interestingly, no UHPLC methods were reported for determination of salivary UA. CE, which utilizes mobility of the negative charged UA at a low pH, was also used for the determination. CE is also favored in combination with the sensitive ED. Unfortunately, CE methods are not sufficiently robust yet and therefore not suitable for the determination of large sample series in routine laboratories.
Advanced biosensors then represent the newest field in instrumentation that is likely to be more widely applied for UA determination in clinical research. The current generation of biosensors confirms that these devices are stable, robust, and biocompatible. With the development of the next generation using new materials and nanotechnologies, these devices will be transferable, easier to use, and practically non-invasive for the patients.
Funding source: Project SVV
Award Identifier / Grant number: 260 548
Funding source: STARSS project
Award Identifier / Grant number: CZ.02.1.01/0.0/0.0/15_003/0000465
Funding source: ERDF
Funding source: MH CZ-DRO
Funding source: UHHK
Award Identifier / Grant number: 00179906
Funding source: Ministry of Health of the Czech Republic
Award Identifier / Grant number: NV18-03-00130
Funding source: Center for the Development of Personalized Medicine in Age-Related Diseases
Award Identifier / Grant number: CZ.02.1.01/0.0./0.0./17_048/000744
Funding source: ERDF
Funding source: State budget of the Czech Republic
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Research funding: Thanks are due for the financial support by Project SVV (260 548), the STARSS project (Reg. No. CZ.02.1.01/0.0/0.0/15_003/0000465) co-funded by ERDF, the MH CZ-DRO (UHHK, 00179906), the Ministry of Health of the Czech Republic (grant nr. NV18-03-00130), All rights reserved, and the project PERSONMED-Center for the Development of Personalized Medicine in Age-Related Diseases (Reg. No. CZ.02.1.01/0.0./0.0./17_048/000744) co-financed by the ERDF and the state budget of the Czech Republic.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2020-1533).
© 2020 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Home pregnancy tests: quality first
- Review
- Non-invasive determination of uric acid in human saliva in the diagnosis of serious disorders
- Opinion Papers
- Basophil counting in hematology analyzers: time to discontinue?
- The role of laboratory hematology between technology and professionalism: the paradigm of basophil counting
- Recommendations for validation testing of home pregnancy tests (HPTs) in Europe
- General Clinical Chemistry and Laboratory Medicine
- The use of preanalytical quality indicators: a Turkish preliminary survey study
- The Italian External Quality Assessment (EQA) program on urinary sediment by microscopy examination: a 20 years journey
- Non-HDL-C/TG ratio indicates significant underestimation of calculated low-density lipoprotein cholesterol (LDL-C) better than TG level: a study on the reliability of mathematical formulas used for LDL-C estimation
- Evaluation of the protein gap for detection of abnormal serum gammaglobulin level: an imperfect predictor
- Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury
- Using machine learning to develop an autoverification system in a clinical biochemistry laboratory
- Effect of collection matrix, platelet depletion, and storage conditions on plasma extracellular vesicles and extracellular vesicle-associated miRNAs measurements
- Pneumatic tube transportation of urine samples
- Evaluation of the first immunosuppressive drug assay available on a fully automated LC-MS/MS-based clinical analyzer suggests a new era in laboratory medicine
- A validated LC-MS/MS method for the simultaneous quantification of the novel combination antibiotic, ceftolozane–tazobactam, in plasma (total and unbound), CSF, urine and renal replacement therapy effluent: application to pilot pharmacokinetic studies
- Immunosuppressant quantification in intravenous microdialysate – towards novel quasi-continuous therapeutic drug monitoring in transplanted patients
- Reference Values and Biological Variations
- Reference intervals for venous blood gas measurement in adults
- Cardiovascular Diseases
- Detection and functional characterization of a novel MEF2A variation responsible for familial dilated cardiomyopathy
- Diabetes
- Evaluation of the ARKRAY HA-8190V instrument for HbA1c
- Infectious Diseases
- An original multiplex method to assess five different SARS-CoV-2 antibodies
- Evaluation of dried blood spots as alternative sampling material for serological detection of anti-SARS-CoV-2 antibodies using established ELISAs
- Variability of cycle threshold values in an external quality assessment scheme for detection of the SARS-CoV-2 virus genome by RT-PCR
- The vasoactive peptide MR-pro-adrenomedullin in COVID-19 patients: an observational study
- Corrigenda
- Corrigendum to: Understanding and managing interferences in clinical laboratory assays: the role of laboratory professionals
- Corrigendum to: Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Letters to the Editor
- A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data on Sysmex XN-series analysers
- Letter in reply to the letter to the editor of Harte JV and Mykytiv V with the title “A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data”
- SARS-CoV-2 serologic tests: do not forget the good laboratory practice
- Long-term kinetics of anti-SARS-CoV-2 antibodies in a cohort of 197 hospitalized and non-hospitalized COVID-19 patients
- Self-sampling at home using volumetric absorptive microsampling: coupling analytical evaluation to volunteers’ perception in the context of a large scale study
- Vortex mixing to alleviate pseudothrombocytopenia in a blood specimen with platelet satellitism and platelet clumps
- Comparative evaluation of the fully automated HemosIL® AcuStar ADAMTS13 activity assay vs. ELISA: possible interference by autoantibodies different from anti ADAMTS-13
- Significant interference on specific point-of-care glucose measurements due to high dose of intravenous vitamin C therapy in critically ill patients
- As time goes by, on that you can rely … preservation of urine samples for morphological analysis of erythrocytes and casts
- Stability of control materials for α-thalassemia immunochromatographic strip test
- Reformulated Architect® cyclosporine CMIA assay: improved imprecision, worse comparability between methods
- Urine-to-plasma contamination mimicking acute kidney injury: small drops with major consequences
- Automated Mindray CL-1200i chemiluminescent assays of renin and aldosterone for the diagnosis of primary aldosteronism
- Use of common reference intervals does not necessarily allow inter-method numerical result trending
- Reply to Dr Hawkins regarding comparability of results for monitoring
Artikel in diesem Heft
- Frontmatter
- Editorial
- Home pregnancy tests: quality first
- Review
- Non-invasive determination of uric acid in human saliva in the diagnosis of serious disorders
- Opinion Papers
- Basophil counting in hematology analyzers: time to discontinue?
- The role of laboratory hematology between technology and professionalism: the paradigm of basophil counting
- Recommendations for validation testing of home pregnancy tests (HPTs) in Europe
- General Clinical Chemistry and Laboratory Medicine
- The use of preanalytical quality indicators: a Turkish preliminary survey study
- The Italian External Quality Assessment (EQA) program on urinary sediment by microscopy examination: a 20 years journey
- Non-HDL-C/TG ratio indicates significant underestimation of calculated low-density lipoprotein cholesterol (LDL-C) better than TG level: a study on the reliability of mathematical formulas used for LDL-C estimation
- Evaluation of the protein gap for detection of abnormal serum gammaglobulin level: an imperfect predictor
- Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury
- Using machine learning to develop an autoverification system in a clinical biochemistry laboratory
- Effect of collection matrix, platelet depletion, and storage conditions on plasma extracellular vesicles and extracellular vesicle-associated miRNAs measurements
- Pneumatic tube transportation of urine samples
- Evaluation of the first immunosuppressive drug assay available on a fully automated LC-MS/MS-based clinical analyzer suggests a new era in laboratory medicine
- A validated LC-MS/MS method for the simultaneous quantification of the novel combination antibiotic, ceftolozane–tazobactam, in plasma (total and unbound), CSF, urine and renal replacement therapy effluent: application to pilot pharmacokinetic studies
- Immunosuppressant quantification in intravenous microdialysate – towards novel quasi-continuous therapeutic drug monitoring in transplanted patients
- Reference Values and Biological Variations
- Reference intervals for venous blood gas measurement in adults
- Cardiovascular Diseases
- Detection and functional characterization of a novel MEF2A variation responsible for familial dilated cardiomyopathy
- Diabetes
- Evaluation of the ARKRAY HA-8190V instrument for HbA1c
- Infectious Diseases
- An original multiplex method to assess five different SARS-CoV-2 antibodies
- Evaluation of dried blood spots as alternative sampling material for serological detection of anti-SARS-CoV-2 antibodies using established ELISAs
- Variability of cycle threshold values in an external quality assessment scheme for detection of the SARS-CoV-2 virus genome by RT-PCR
- The vasoactive peptide MR-pro-adrenomedullin in COVID-19 patients: an observational study
- Corrigenda
- Corrigendum to: Understanding and managing interferences in clinical laboratory assays: the role of laboratory professionals
- Corrigendum to: Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Letters to the Editor
- A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data on Sysmex XN-series analysers
- Letter in reply to the letter to the editor of Harte JV and Mykytiv V with the title “A panhaemocytometric approach to COVID-19: a retrospective study on the importance of monocyte and neutrophil population data”
- SARS-CoV-2 serologic tests: do not forget the good laboratory practice
- Long-term kinetics of anti-SARS-CoV-2 antibodies in a cohort of 197 hospitalized and non-hospitalized COVID-19 patients
- Self-sampling at home using volumetric absorptive microsampling: coupling analytical evaluation to volunteers’ perception in the context of a large scale study
- Vortex mixing to alleviate pseudothrombocytopenia in a blood specimen with platelet satellitism and platelet clumps
- Comparative evaluation of the fully automated HemosIL® AcuStar ADAMTS13 activity assay vs. ELISA: possible interference by autoantibodies different from anti ADAMTS-13
- Significant interference on specific point-of-care glucose measurements due to high dose of intravenous vitamin C therapy in critically ill patients
- As time goes by, on that you can rely … preservation of urine samples for morphological analysis of erythrocytes and casts
- Stability of control materials for α-thalassemia immunochromatographic strip test
- Reformulated Architect® cyclosporine CMIA assay: improved imprecision, worse comparability between methods
- Urine-to-plasma contamination mimicking acute kidney injury: small drops with major consequences
- Automated Mindray CL-1200i chemiluminescent assays of renin and aldosterone for the diagnosis of primary aldosteronism
- Use of common reference intervals does not necessarily allow inter-method numerical result trending
- Reply to Dr Hawkins regarding comparability of results for monitoring