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Molecular Recognition of C-Reactive Protein, Adiponectin and Zn2+ in Serum Samples

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Published 22 March 2019 © The Author(s) 2019. Published by ECS.
, , Citation Raluca-Ioana Stefan-van Staden and Ioana Popa-Tudor 2019 J. Electrochem. Soc. 166 B3051 DOI 10.1149/2.0111909jes

1945-7111/166/9/B3051

Abstract

Three stochastic microsensors designed using matrices based on diamond, graphite and graphene decorated with Pt nanoparticles modified with 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and protoporphyrin IX (PIX) were designed, characterized and validated for the assay of: C-reactive protein, adiponectin and Zn2+. The working concentration ranges were for C-reactive protein: 2.04 × 10−8–1.00mg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and graphite was used, 8.20 × 10−8-0.52mg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and diamond paste was used, 1.64 × 10−8–0.41mg/mL when the stochastic microsensor based on protoporphyrin IX and graphene decorated with Pt nanoparticles was used, for adiponectin 2.50 × 10−8–1.00μg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and graphite was used, 2.50 × 10−8–0.25μg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and diamond paste was used, 2.50 × 10−8–0.25μg/mL when the stochastic microsensor based on protoporphyrin IX and graphene decorated with Pt nanoparticles was used, and for Zn2+: 1.36 × 10−10–1.00μg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and graphite was used, 1.36 × 10−8–1.00μg/mL when the stochastic microsensor based on 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and diamond paste was used, 1.36 × 10−8–1.00μg/mL when the stochastic microsensor based on protoporphyrin IX and graphene decorated with Pt nanoparticles was used. Very low limits of determination were recorded. The sensitivities of all tested stochastic microsensors were very high. The validation of the screening method for serum samples was done, high accuracy and precision being recorded.

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C-reactive protein, adiponectin, and Zn2+, are biomarkers used for diagnosis of diabetes.14 C-Reactive Protein (CRP) is a nonspecific marker of inflammation being used in the diagnosis of patients with diabetes mellitus5 and cardiovascular disease. CRP is produced in the liver and then is secreted into the blood as a result of the pro-inflammatory cytokines. Increased levels of CRP in whole blood was associated with increased insulin resistance (especially in the case of patients with diabetes type two). Dehghan and collaborators also showed an association between increased levels of CRP in whole blood and diabetes after performing a meta-analysis in which were evaluated 6.157 participants that had high levels of CRP and 1.826 participants who did not present CRP genotype.6

Adiponectin (also known as apM1, AdipoQ, Acrp30 and GPB28) is a hormone secreted by adipocytes and it is also linked to metabolic syndrome, particularly in patients with type 2 diabetes.7,8 Adiponectin is an anti-inflammatory protein which stopes cytokine production by macrophage cell activation.9 Adiponectin levels in plasma were reported to be low in obese patients and significantly lower in patients with type 2 diabetes,10 its key role being to inhibit gluconeogenesis. The normal amount of adiponectin in human plasma is between 3μg/mL and 30μg/mL.11 Adiponectin is a protein with an important action related to insulin sensitivity so it can be used as a biomarker for diabetes and inflammatory processes.12

Zinc ions can be used as a biomarker for diabetes because recent evidence has shown that some metals can induce an improvement in glucose metabolism and insulin sensitivity in both types of diabetes (type 1 and type 2). Along with metals like vanadium, manganese, chromium, and cobalt, the zinc ions had a special place showing mimetic activities, being an essential element found in humans with multiple roles.13 It has been shown that zinc stimulates lipogenesis in the same way as does insulin.14 Zhou and al have shown that when the level of glucose in the blood was increased zinc-containing insulin inhibit glucagon secretion and decreased glycaemia. Zinc-free insulin failed to produce glucagon secretion.15

The characteristics of the most performant methods proposed to date of analysis of: C-reactive protein: ELISA method (enzyme-linked immunosorbent assays),16 chemiluminescence method,17 turbidimetry method;18 adiponectin: ELISA method;19,20 and Zn2+: voltammetry,21 are shown in Table I.

Table I. Methods used to date for the assay of C-reactive protein, adiponectin and Zn2+.

Method Linear concentration range Limit of detection Bio samples References
C-reactive protein
ELISA* 2–100ng/mL 1ng/mL saliva samples 16
Chemiluminescence 0.4–180μg/mL 5.7 μg/mL human plasma 17
  0.2–15 μg/mL 6.7 μg/mL serum samples  
Turbidimetry 0.4–180mg/L 0.01mg/L human serum 18
Adiponectin
ELISA* 0.075–4.8ng/mL 0.038ng/mL bovine serum 19
ELISA* 31.3–2 × 103pg/mL 10pg/mL porcine blood 20
Zn2+
DPASV** 10−8–5 × 10−6M 6.67nmol/L human sweat 21

*ELISA = Enzyme-Linked Immunosorbent Assays. **DPASV = Differential Pulse Anodic Stripping Voltammetry.

Due to a need of a screening test able to recognize and assay simultaneously predictive biomarkers for diabetes such as C-reactive protein, adiponectin and Zn2+, three stochastic microsensors diamond, graphite and graphene decorated with Pt nanoparticles modified with 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine and protoporphyrin IX (PIX) were designed, characterized and validated using serum from diabetic patients; these sensors were used for the screening test needed to detect the predictive biomarkers for diabetes in a very early stage, when the diabetes can be reversed. To date, stochastic sensors were used for the molecular recognition of panels of biomarkers and screening test of biological sample in different occasions, e.g., assay of testosterone, dyhidrotestosterone and estradiol,22 assay of neurotransmitters (dopamine, epinephrine and norepinephrine),23 assay of free-L-T3, free-L-T4 and free-D-T4.24,25 The advantages of using stochastic sensors vs standard methods of analysis were: a qualitative analysis can be performed because the stochastic sensors can recognize one by one the biomarkers in the biological fluid, making possible simultaneous assay of these biomarkers, the sensors usually are characterized through high sensitivities, selectivities, and low determination limits; the matrix did not influenced the response of the stochastic sensors; high reliable quantitative analysis can be performed.2629

Experimental

Materials

C-reactive protein, zinc chloride, human adiponectin, protoporphyrin IX (PIX), diamond powder and graphite powder were purchased from Sigma Aldrich, and the paraffin oil was purchased from Fluka (Buchs, Switzerland). 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine was synthesized in the house.30 Graphene powders modified with Pt nanoparticles were synthesized by National Institute for Research and Development of Isotopic and Molecular Technologies and Development, Cluj-Napoca, Romania. All materials used were of analytical purity.

C-Reactive Protein solutions were prepared from a stock solution with a concentration of 0.1 mg/mL using the method of successive dilutions over a range of concentrations from 100 mg/mL to 16.4 fg/mL. The stock solution of adiponectin was 25mg/mL and using the method of serial dilutions, solutions up to 2.5fg/mL were prepared. For the determination of Zinc ions in the human serum samples was used the zinc chloride; the concentration of the stock solution was 136mg/mL, and by serial dilutions method solutions up to 13.6fg/mL were prepared. All solutions were prepared in phosphate buffer pH 7.40.

Apparatus

All measurements were performed with a potentiostat AUTOLAB/PGSTAT 302N (Metrohm) and recorded with the GPES software. An electrochemical cell of three-electrode system was used. The reference electrode was Ag/AgCl in 0.1mol/L KCl, the auxiliary electrode was a platinum wire and the working electrode was the stochastic microsensor. Measurements were made at a constant potential of 125 mV using stochastic method.

Design of stochastic microsensors

Diamond, graphite and platinum nanoparticles modified-graphene powders were used in the design of three stochastic microsensors. Each powder was homogenized with paraffin oil and then an electroactive material was added. A solution of 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl) pyridine (PyD) has been added to the diamond (PyD/DP) and graphite pastes (PyD/GP), while a solution of protoporphyrin IX was added to the graphene paste (PIX-Gr-Pt). Three plastic tips have been filled separately with the modified pastes and a silver wire was inserted in order to achieve the electrical contact. Before each measurement, the microsensors surface was washed with deionized water and then dried. When these microsensors are not used, they are stored at room temperature in a dark and dry place.

Stochastic method

Stochastic mode was used for the simultaneously assay of C-reactive protein, human adiponectin and zinc ions in the serum samples. All measurements were performed at room temperature (25°C). Chronoamperometry technique was employed at 125mV. Calibration measurements were performed for each microsensor and for each of the analyte solutions. The molecular recognition of C-reactive protein, human adiponectin and zinc ions was done based on their signature (toff value, Figure 1). The quantification of the analytes was done using the ton values. For each microsensor the calibration equation was statistically evaluated using linear regression method: 1/ton = a + b x Concentration. The unkmown concentrations were calculated by introducting the ton values obtained in the diagrams of serum samples in the equations of calibration. All measurements were performed at 25°C.

Figure 1.

Figure 1. Pattern recognition of C-reactive protein, adiponectin and Zn2+ in human serum samples using stochastic microsensors based on: (a) PyD/GP, (b) PyD/DP, (c) PIX/Gr-Pt.

Samples

Serum samples were collected from a group of 10 patients investigated in the National Institute of Diabetes, Nutrition and Metabolic Diseases "Pr. Dr. N. Paulescu" from Bucharest, with the informed consent from all subjects, and accordingly with the Ethics Committee approval number 75/2015. The apparatus cell was filled with the serum sample and the stochastic measurements were performed. The unknown concentrations were determined from the calibration equations as described in the recommended procedure section.

Results and Discussion

Response characteristics of the stochastic microsensors

The response of the stochastic microsensors is based on the conductivity of the channel. When a potential of 125mV vs Ag/AgCl was applied, the molecules are driven to the channel, and they getting one by one in the channel accordingly with their size, unfolding speed, speed of passing through the channel, geometry and stereochemistry; while they enter the channel the intensity of the current is droping to zero, the time spent to enter the channel being known as the signature of the molecule/biomarker (toff value). Inside the channel the molecule was undergoing processes of binding accordingly with the reactions shown below, as well as redox processes:

where Ch is the channel, i is the membrane-solution interface, CRP is the C-reactive protein and AdipoQ is the adiponectin.

The response characteristics of the proposed stochastic microsensors were shown in Table II. The signatures of CRP, adiponectin and Zn2+ are different when the same stochastic microsensor was used proven that the three biomarkers can be simultaneous determined in the serum samples.

Table II. Response characteristics of stochastic microsensors used for the assay of C-reactive protein, adiponectin and Zn2+.

Microsensors Calibration equation and correlation Linear concentration   Limit of Sensitivity
based on coefficient (r)* range toff(s) determination (s− 1/Conc. units)
C-Reactive Protein (mg mL−1)*
PyD/GP 1/ton = 0.021 + 6.64 × 102 × C, r = 0.9999 2.04 × 10−8–1.00 1.8 2.04 × 10−6 6.64 × 102
PyD/DP 1/ton = 0.029 + 1.12 × 104 × C, r = 0.9995 8.20 × 10−8–0.52 3.0 8.20 × 10−8 1.12 × 104
PIX/Gr-Pt 1/ton = 0.031 + 3.92 × 104 × C, r = 0.9999 1.64 × 10−8–0.41 3.0 1.64 × 10−8 3.92 × 104
Adiponectin (μg mL−1)**
PyD/GP 1/ton = 0.032 + 1.69 × 103 × C, r = 0.9982 2.50 × 10−8–1.00 1.5 2.50 × 10−8 1.69 × 103
PyD/DP 1/ton = 0.026 + 1.58 × 104 × C, r = 0.9995 2.50 × 10−8–0.25 1.0 2.50 × 10−8 1.58 × 104
PIX/Gr-Pt 1/ton = 0.049 + 4.03 × 103 × C, r = 0.9995 2.50 × 10−8–0.25 1.5 2.50 × 10−8 4.03 × 103
Zn2+ (μg mL−1)**
PyD/GP 1/ton = 0.020 + 4.41 × 106 × C, r = 0.9998 1.36 × 10−10–1.00 2.0 1.36 × 10−10 4.41 × 106
PyD/DP 1/ton = 0.027 + 2.99 × 104 × C, r = 0.9996 1.36 × 10−8–1.00 2.0 1.36 × 10−8 2.99 × 104
PIX/Gr-Pt 1/ton = 0.026 + 5.66 × 100 × C, r = 0.9988 1.36 × 10−8–1.00 1.3 1.36 × 10−8 5.66 × 100

*<1/ton> = s−1;<C> = mg/mL. **<1/ton> = s−1;<C> = μg/mL.

For the determination of CRP, the largest linear concentration range (1.64 × 10−8–0.41mg mL−1), as well as the lowest limit of determination (1.64 × 10−8mg mL−1) and the highest sensitivity (3.92 × 104 s−1/mg mL−1) were recorded when the stochastic microsensor based on PIX and Gr-Pt paste was used. For the determination of adiponectin, the largest linear concentration range (2.50 × 10−8–0.25μg mL−1) was recorded when the stochastic microsensors based on PyD/GP and PyD/DP were used while the higher sensitivity (1.58 × 104s/μg mL−1) was obtained for the stochastic microsensor based on PyD/DP; the same limit of determination was determined for all three proposed stochastic microsensors (2.50 × 10−8μg mL−1). For the determination of Zn2+, the largest linear concentration range (1.36 × 10−10 – 1.00μg mL−1), the lowest limit of determination (1.36 × 10−10μg mL−1) as well as the highest sensitivity (4.41 × 106s/μg mL−1) were recorded for the stochastic microsensor based on PyD/GP.

The linear concentration ranges recorded using the proposed stochastic microsensors were largest than those shown in Table I, proposed to date for the same biomarkers. Also, the limits of determination reported in this paper for each microsensor, and each biomarker are lowest than those reported in Table I.

The stochastic microsensors were used for determination of CRP, adiponectin, and Zn2+ for more than ten months, when the RSD (%) values of the sensitivities did varied with 1.25%. Five stochastic microsensors of each type were design using the proposed design method; for each microsensors there were determined for three months the response characteristics; a difference on the sensitivity of 0.80% was recorded for each type of microsensor, when compared the values recorded for each microsensor during this period; these proved that the proposed microsensor had a reproducible design.

Selectivity

The selectivity of the stochastic microsensors is given by the values of toff (signatures) of the possible interferences. First of all, the three biomarkers: CRP, adiponectin and Zn2+ did not interfere each with the other, because they had different signatures (Table II). Other substances like dopamine, epinephrine, Mg2+, Ca2+ had different signatures than CRP, adiponectin, and Zn2+ proving that they did not interfere in their determinations (Table III).

Table III. The signatures of C-reactive protein, adiponectin and Zn2+ and of possible interferences.

  Signatures, toff values (s)
Microsensors based on C-reactive protein Adiponectin Dopamine Epinephrine Ca2+ Mg2+ Zn2+
PyD/GP 1.8 1.5 1.0 2.5 0.3 0.8 2.0
PyD/DP 3.0 1.0 1.5 2.5 0.3 0.7 2.0
PIX/Gr-Pt 3.0 1.5 2.0 3.5 0.5 1.0 1.3

Analytical applications

The response characteristics of the proposed stochastic microsensors as well as their selectivity, made possible their utilization for the screening of serum samples for CRP, adiponectin, and Zn2+. The first step in the stochastic sensors'validation for the utilization in the determination of CRP, adiponectin and Zn2+ in serum samples was the recovery test, performed as following: to 5 serum samples, different amounts of CRP, adiponectin and Zn2+ were added. Measurements with the stochastic microsensors were performed before and after the addition of known amounts of CRP, adiponectin and Zn2+. The recovered amounts were compared with the added amounts, and the % recovery was determined (Table IV). As it can be seen in Table IV, very high recoveries were determined using the proposed stochastic microsensors, proving that the microsensors can be used realiably for the simultaneous assay of CRP, adiponectin and Zn2+ in serum samples.

Table IV. Recovery of CRP, adiponectin, and Zn2+ in serum samples (N = 10).

  %, Recovery
Microsensor based on CRP Adiponectin Zn2+
PyD/GP 98.90 ± 0.03 99.03 ± 0.02 99.90 ± 0.02
PyD/DP 98.98 ± 0.02 99.10 ± 0.02 99.98 ± 0.01
PIX/Gr-Pt 98.20 ± 0.03 98.89 ± 0.05 99.87 ± 0.04

The second step in the validation process was to determine the amounts of CRP, adiponectin and Zn2+ in ten samples of diabetic patients (Table V, Figure 1), and to compare the values obtained using standard methods (ELISA for CRP, and adiponectin, and ICP/MS for Zn) with those obtained using the stochastic microsensors. Table V shown high accuracy (very good correlations between the data were obtained) and reliability (very low values of RSD, % were recorded) of the measurements, proving that the proposed stochastic microsensors can be reliable used for the screening of serum samples in order to perform reliable qualiattive and quantitative analysis of CRP, adiponectin and Zn2+. The main advantages of the proposed method versus the methods proposed to date, are: the serum samples can be used without any further processing; the three biomarkers can be determined simultaneously – no need to use different kits, or expensive methods; the proposed method is very sensitive, accurate, and precise.

Table V. Determination of CRP, adiponectin, and Zn2+ in serum samples (N = 10).

Sample No. Microsensor based on CRP (mg/L) Adiponectin (μg/mL) Zn2+ (μg/mL)
1 PyD/GP 5.69 ± 0.04 4.99 ± 0.04 8.81 ± 0.05
  PyD/DP 5.37 ± 0.01 4.66 ± 0.03 8.09 ± 0.03
  PIX/Gr-Pt 5.44 ± 0.02 4.89 ± 0.05 8.52 ± 0.05
  Standard method 5.15 ± 0.12 4.48 ± 0.23 8.33 ± 0.22
2 PyD/GP 1.96 ± 0.02 4.73 ± 0.03 6.80 ± 0.01
  PyD/DP 1.74 ± 0.02 4.47 ± 0.03 6.30 ± 0.02
  PIX/Gr-Pt 1.80 ± 0.03 4.50 ± 0.05 6.39 ± 0.01
  Standard method 1.77 ± 0.17 4.50 ± 0.21 6.42 ± 0.25
3 PyD/GP 1.52 ± 0.01 9.54 ± 0.03 8.89 ± 0.05
  PyD/DP 1.53 ± 0.01 9.37 ± 0.02 8.48 ± 0.05
  PIX/Gr-Pt 1.57 ± 0.02 9.36 ± 0.02 8.28 ± 0.03
  Standard method 1.69 ± 0.16 9.41 ± 0.24 9.02 ± 0.13
4 PyD/GP 3.21 ± 0.01 1.66 ± 0.05 7.47 ± 0.05
  PyD/DP 3.20 ± 0.01 1.68 ± 0.05 7.56 ± 0.03
  PIX/Gr-Pt 3.46 ± 0.04 1.65 ± 0.03 7.50 ± 0.03
  Standard method 3.03 ± 0.20 1.79 ± 0.12 8.02 ± 0.17
5 PyD/GP 1.30 ± 0.02 1.88 ± 0.03 9.17 ± 0.05
  PyD/DP 1.35 ± 0.02 1.78 ± 0.05 9.17 ± 0.05
  PIX/Gr-Pt 1.40 ± 0.03 1.90 ± 0.05 9.23 ± 0.07
  Standard method 1.45 ± 0.15 1.92 ± 0.12 9.33 ± 0.11
6 PyD/GP 1.03 ± 0.01 1.24 ± 0.02 9.51 ± 0.03
  PyD/DP 1.11 ± 0.02 1.20 ± 0.02 9.27 ± 0.03
  PIX/Gr-Pt 1.07 ± 0.02 1.25 ± 0.05 9.30 ± 0.01
  Standard method 1.32 ± 0.11 1.30 ± 0.18 9.77 ± 0.12
7 PyD/GP 1.30 ± 0.05 1.89 ± 0.07 10.38 ± 0.03
  PyD/DP 1.32 ± 0.06 1.80 ± 0.07 10.32 ± 0.03
  PIX/Gr-Pt 1.30 ± 0.06 1.77 ± 0.05 10.38 ± 0.04
  Standard method 1.46 ± 0.14 1.90 ± 0.21 10.50 ± 0.22
8 PyD/GP 6.43 ± 0.02 1.54 ± 0.03 7.60 ± 0.02
  PyD/DP 6.40 ± 0.02 1.28 ± 0.03 7.58 ± 0.03
  PIX/Gr-Pt 6.58 ± 0.04 1.47 ± 0.02 7.33 ± 0.03
  Standard method 6.43 ± 0.23 1.56 ± 0.13 7.62 ± 0.16
9 PyD/GP 7.52 ± 0.03 1.24 ± 0.01 8.26 ± 0.05
  PyD/DP 7.47 ± 0.03 1.21 ± 0.01 8.30 ± 0.05
  PIX/Gr-Pt 7.50 ± 0.05 1.21 ± 0.02 8.32 ± 0.03
  Standard method 7.51 ± 0.17 1.32 ± 0.14 8.80 ± 0.15
10 PyD/GP 7.53 ± 0.07 1.89 ± 0.02 9.92 ± 0.03
  PyD/DP 7.52 ± 0.07 1.92 ± 0.01 9.85 ± 0.01
  PIX/Gr-Pt 7.52 ± 0.05 1.97 ± 0.01 9.87 ± 0.01
  Standard method 7.63 ± 0.13 2.03 ± 0.17 10.02 ± 0.13
BIAS (%) 0.10 0.15 0.11

Standard method: ELISA for CRP and Adiponectin; ICP/MS for zinc.

Conclusions

Three stochastic microsensors based on diamond, graphite and graphene powders modified with 2,6-bis (E)-2-(thiophen-3-yl)-4-4-(4,6,8-trimethylazulen-1-1yl)pyridine and protoporphyrine IX were used designed and characterized for the screening test of whole blood for C-reactive protein, adiponectin and Zn ions. The sensitivities were higher than those reported in the literature to date, while the limits of detection recorded were lower than those proposed to date in the literature. The proposed microsensors can be reliable used for the assay of predictive biomarkers for diabetes: C-reactive protein, adiponectin and Zn ions, in whole blood samples.

Acknowledgments

This work was supported by UEFISCDI, PNCDI III framework, PN-III-P4-ID-PCE-2016-0120.

ORCID

Raluca-Ioana Stefan-van Staden 0000-0001-8244-2483

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10.1149/2.0111909jes