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Screening of inhibitors for mushroom tyrosinase using Surface Plasmon Resonance Sushama Patil, Srinivas Sistla, and Jyoti Prafulla Jadhav J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/jf5039585 • Publication Date (Web): 05 Nov 2014 Downloaded from http://pubs.acs.org on November 17, 2014
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Journal of Agricultural and Food Chemistry
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Screening of inhibitors for mushroom tyrosinase using Surface Plasmon Resonance
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Sushama Patil†, Srinivas Sistla‡, Jyoti Jadhav*† †
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Running title: Binding affinity studies of tyrosinase inhibitors
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Department of Biotechnology, Shivaji University, Kolhapur- 416004, GE Healthcare Life Sciences, John F Welch Technology Centre, EPIP, Phase 2, Whitefield Road, Bangalore, India-560048
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*Corresponding author
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Prof. Mrs. Jyoti P. Jadhav
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Professor and Head
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Department of Biotechnology,
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Shivaji University, Vidyanagar,
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Kolhapur 416004, India
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E-mail:
[email protected] 16
Tel.: +91 231 2609365
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Fax: +91 231 1691533
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Abstract
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Tyrosinase inhibitors have been used as whitening or antihyperpigment agents because of their
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ability to suppress dermal-melanin production. In this present study, screening and kinetic evaluation
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of various small molecules was studied on mushroom tyrosinase (MT) using surface plasmon
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resonance. The binding constant KD (M) values obtained for tannic acid, phloroglucinol, saffron,
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catechol and pyrogallol are 1.213 × 10-4, 7.136 × 10-5, 3.111 × 10-5, 1.557 × 10-5 and 7.981 × 10-6 M
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respectively. Pyrogallol has been found to display high affinity for MT whereas catechol, saffron and
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phloroglucinol have been found to bind with low affinity. MT shows considerable changes in the
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secondary structure in presence of inhibitors. The study reveals the Biacore/SPR sensor’s ability for
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rapid identification and characterization of inhibitors for MT. Methodology described here can be used
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to rapidly screen and optimize various leads compounds for other enzymes and elucidate structure
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function inter-relationships between various enzymes.
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Keywords: Mushroom tyrosinase, inhibitors, surface plasmon resonance
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Introduction
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Tyrosinase (EC1.14.18.1), a multifunctional copper-containing oxygenase, is widely distributed
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in nature. It catalyzes the hydroxylation of a monophenol and the conversion of o-diphenols to the
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corresponding o-quinones1. These quinones are highly reactive compounds that can polymerize
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spontaneously to form melanin. Products formed as a result of tyrosinase activity are precursors for
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skin pigmentation, defense and protective mechanisms in plants and fungi, and leads to pigmentation in
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flowers2-6. These precursors from tyrosinase activity may also lead to deleterious effects like browning
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reactions in fruits and vegetables and black spotting of shrimp and lobsters7, 8. Various inhibitors of
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mushroom tyrosinase are reported such as, aromatic aldehydes9, 10 acids11, tropolone12 and kojic acid13.
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Changes in tyrosinase activity can be measured using conventional spectrophotometric
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methods by detection of the substrate turnover at different wavelengths14-16. The most accepted dye
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based or tracer based assays are Besthorn's hydrazone17, 18 cysteine19 or proline20. Many electrochemical
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methods are based on measurement of oxygen consumption21 or product formation is reported in the
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literature22-26. However these assays will produce much false positive identification of compounds as
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they are color based or dye based reactions. Identification and characterization of lead compounds by
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SPR is a very rapid and promising alternative.
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Surface plasmon resonance (SPR) with coupling chemistries for enzyme immobilization on the
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sensor surface facilitates detection and screening of various inhibitors27. SPR is an optical technique
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that analyses changes in refractive index based on alterations occurring in the dielectric medium within
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500 nm from a metal gold surface28. SPR makes possible real-time, label-free detection of biomolecular
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binding events such as ligand–receptor coupling, antibody–antigen interactions, and protein–DNA
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interactions. Detection of tyrosinase inhibitors using SPR has been reported recently29, 30. In this present
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study, screening of small molecules as inhibitors of mushroom tyrosinase was studied by using SPR. 3
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Material and methods
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Chemicals and reagents
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Sensor
chips
CM5,
N-ethyl-N’-(dimethylaminopropyl)-carbodiimide
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(EDC),
N-
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hydroxysuccinimide (NHS), ethanolamine HCl, sampling vials, were obtained from GE Healthcare Life
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Sciences, Uppsala, Sweden. Mushroom tyrosinase was purchased from Sigma chemical company (St.
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Louis, MO, USA). All other chemicals were from Himedia India Pvt ltd, India with highest purity and
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analytical grade. Milli Q (Milipore, USA) water was used for preparing buffers and reagents.
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Enzyme activity assay
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Monophenolase and diphenolase activities of mushroom tyrosinase was performed using L-
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Tyrosine and L-DOPA respectively by measuring the dopachrome accumulation at 475 nm (ε
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dopachrome = 3400 M−1 cm−1)31, 32 before immobilization on chip surface.
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Surface plasmon resonance (SPR) studies
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SPR interaction analyses were performed using a Biacore X100 optical biosensor (GE
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Healthcare Life Sciences, Bangalore, India). SPR measurements were carried out in phosphate buffer
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saline [0.1 M phosphate buffer with 27 mM KCl and 1.37 M NaCl 0.005 % polysorbate 20 pH 7.4], and
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stock solutions were diluted in the same buffer. Data was collected with the Biacore control software
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version 2.0. Experiments were performed by monitoring the refractive index changes as a function of
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time under constant flow rate of 30 µl/min. The relative amount of inhibitor bound to the tyrosinase
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was determined by measuring the net increase in refractive index over time compared to control
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running buffer. There is an inline subtraction of reference surface during the run. This change is usually
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reported in response units (RU).
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Enzyme immobilization
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Mushroom tyrosinase dissolved (50 µg ml-1) in 0.1 M sodium acetate buffer pH 4.5 was
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immobilized to a CM5 chip using amine coupling. Using a flow rate of 10 µl min-1, the surface of flow
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cell was activated for 7 min using a 1:1 mixture of 100 mM N-ethyl-N’-(dimethylaminopropyl)-
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carbodiimide (EDC) and 100 mM N-hydroxysuccinimide (NHS) (both dissolved in water), and
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subsequently tyrosinase was injected for 7 min, and residual activated carboxy methyl groups on the
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surface were blocked by a 7 min injection of 1M ethanolamine, pH 8.5. A total of 2353 (RU) of
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tyrosinase was immobilized. The activity of enzyme after immobilization was confirmed by plotting RI
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(RU) response against concentration of substrate (L-DOPA and L-tyrosine).
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Screening of different small molecules
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For this study, one of the flow cell was blank immobilized (without protein) for using as a
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reference. Different analytes like, monohydroxy, dihydroxy and trihydroxy phenols were screened
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against mushroom tyrosinase. Flow rate was maintained constant throughout the binding (10 µl/min)
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and kinetics experiment (30 µl/min), contact time and dissociation time was kept at 120 s. Regeneration
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was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min. Kinetics was performed with
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various concentrations of compounds (12.5 µM to 200 µM) in a single cycle kinetics33, 34 or multi-cycle
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kinetics mode. The data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data
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was fit to 1:1 binding model or two state fit.
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Circular dichroism (CD) spectroscopy
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The CD spectra were recorded on a Jasco J-815 CD Spectropolarimeter to give the content of
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regularly secondary structure in mushroom tyrosinase. Protein solutions 0.05 mg ml-1 was prepared in
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the 0.1 mM PBS buffer at pH 6.8. Scans were performed at 20 °C using 0.1 cm path length quartz
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cuvette with 8 sec differential integration time at a scan rate of 50 nm min-1. The protein solutions of
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0.05 mg ml-1 were incubated with and without pyrogallol, phloroglucinol, tannic acid, saffron and 5
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catechol at concentration of 200 µM for 15 min and were used to obtain the spectra. All spectra were
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collected in a triplicate from 200 to 280 nm and a background corrected against buffer blank. The
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results were expressed as molar ellipticity (◦cm2 dmol-1) based on a mean amino acid residue weight
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(MRW) of mushroom tyrosinase. The molar ellipticity was determined as [θ obs] = (100 × (MRW) ×
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θobs/cl), where θ is the observed ellipticity in degrees at a given wavelength, c is the protein
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concentration in mg/ml and l is the length of the light path in cm35.
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Result and discussion
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It has been recently discovered that various dermatological disorders such as age spots and
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freckles are caused due to hyperpigmentation1. Hyperpigmentation in human skin and enzymatic
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browning in fruits are not desirable36. Thus, hyperpigmentation becomes a major problem in the food
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industry and one of the main causes of quality loss during post harvest handling and processing31. The
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regulation of melanin synthesis via the inhibition of tyrosinase is a current area of research in the
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context of preventing hyperpigmentation37. As a result, tyrosinase inhibitors have become increasingly
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important in food, medical and cosmetic industries38, 39.
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Various tyrosinase-based biosensors have been developed in the past few years22-26. Using
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these sensors, the detection of the large group of phenolic compounds as tyrosinase inhibitors was
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possible. However, low sensitivity is one of their major drawbacks40. In the present paper, the affinity
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and binding kinetics of various small molecules towards mushroom tyrosinase using surface plasmon
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resonance has been evaluated. In addition, this sensor has ability to detect the number of different
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inhibitors of enzyme in a single run with high sensitivity and accuracy. Label free interactions are more
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sensitive and less error prone compared with the conventional spectroscopic methods which are based
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on the color formation.
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The screening results showed that the affinity towards mushroom tyrosinase varies from
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molecule to molecule which is clearly observed from Figure 1. Many compounds showed high affinity
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for tyrosinase but possess low stability. Low stability compounds were found to display a higher
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dissociation rate. Based on binding studies various small molecules like catechol, pyrogallol, saffron,
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tannic acid and phloroglucinol were selected further for affinity and kinetic analysis against mushroom
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tyrosinase. This study shows that pyrogallol has a higher binding affinity for mushroom tyrosinase with
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KD values of 7.981 ×10-6 M. The data with different concentrations was fit to two state equation and
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shown in the Table 1. Pyrogallol has higher rates of association and dissociation and a higher
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equilibrium dissociation constant as evident from Figure 2. Pyrogallol is trihydroxy phenol: it perhaps
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binds more rapidly as compared to L-DOPA and L-tyrosine which are dihydroxy and monohydroxy
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phenols, respectively. Order of tyrosinase action on phenolic substrates follows the order monohydroxy
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˃ dihydroxy ˃ trihydroxy phenols. The KD value for L-DOPA was reported by us before32. L-DOPA
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was also run between inhibitors during the kinetic runs to ascertain the activity of tyrosinase. The
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activity of enzyme after immobilization was proportional with increasing concentration of L-DOPA
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and L-tyrosine (Figure 3) which confirmed the stability and reactivity of mushroom tyrosinase after
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immobilization. Pyrogallol was reported as suicide inhibitor of tyrosinase and predicted to bind with
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high affinity41. The low affinity of catechol (1.557 ×10-5 M) (Figure 4) compared to pyrogallol may be
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due to catechol follows ‘cresolase presentation’. Catechol being oxidized to form a product able to
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undergo deprotonation and reductive elimination, resulting in inactivation of the enzyme through the
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formation of copper at the active site. However, since the OH groups are equivalent, the probability of
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catalysis and inactivation increases in case of pyrogallol (trihydroxy phenol) and catechol (o-
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diphenol)42. Catechol showed fast association and slow dissociation time as it is a substrate for
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tyrosinase (Table 1). 7
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Saffron, phloroglucinol and tannic acid have a low binding affinity towards mushroom
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tyrosinase with KD values of 3.111 ×10-5, 7.136 ×10-5 and 1.213 ×10-4 M, respectively (Table 1). Also
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these three compounds showed slow association and fast dissociation in comparison with pyrogallol
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and catechol (Table 1). The binding kinetics for saffron (Figure 5), phloroglucinol (Figure 6) and tannic
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acid (Figure 7) with 1:1 fit clearly indicate almost similar association and dissociation rate constants
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which perhaps suggests a similar mode of inhibition. The key component in saffron is crocin, is
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reported as a potent inhibitors of the tyrosinase32. Also, phloroglucinol (IC50 ˃ 300 µM) and tannic acid
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are reported as inhibitors of mushroom tyrosinase43, 44. Inhibition of tannic acid is a reversible reaction.
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In order to understand the, structural changes of the mushroom tyrosinase in the presence of
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inhibitors was studied by CD spectroscopy technique. As illustrated in Figure 8, results in significant
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differences in the secondary structure of the native enzyme and mushroom tyrosinase in presence of
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inhibitors. CD studies also confirm secondary structural changes analyzed using SPR. The % changes
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in alpha helix in presence of inhibitors have been given (Table 2).
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A number of tyrosinase inhibitors have earlier been reported to decrease hyperpigmentation
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resulting from the enzyme action. Most of these tyrosinase inhibitors were mono, di and trihydroxyl
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phenols, flavonoids, and peptides36, 45. These reported activators and inhibitors are phenols and other
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common cosmetic ingredients well studied on mushroom tyrosinase.
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Biacore sensor has the ability to detect changes in protein conformation in addition to binding
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of inhibitors. Direct detection of low molecular-weight analytes by SPR has been reported for binding
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of Ca2+ ions to transglutaminase46 and sulfonamide inhibitors to carbonic anhydrase47. The present
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study demonstrates for the first time direct detection of tyrosinase inhibitors binding using an SPR
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sensor. The study proves the ability of this sensor to screen the binding ability of different types of
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inhibitors towards mushroom tyrosinase at various concentrations and also to be used for the screening 8
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of new tyrosinase inhibitors. In addition, the sensor was relatively simple to make and did not require
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the use of antibodies to detect small size inhibitors employed in the study. Once the enzyme is
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immobilized on the sensor surface it will be useful for a long time through proper storage. Moreover,
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by immobilizing other enzymes or cell receptors of interest on the SPR sensor surface, their response
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on exposure to inhibitors and ligands can also be assessed, resulting in the development of novel and
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rapidly sensing biosensors. Other, undesirable properties relate more to how the target and ligand
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interact. One such mechanism, recently described by McGovern et al.48, 49 involves the formation of
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ligands into aggregates of 30-400 nm in diameter. These aggregates were proposed to inhibit either by
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absorption onto the surface of enzymes or by incorporating enzymes within them. Inhibitors acting in
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this manner were termed “promiscuous” inhibitors, as they appeared to inhibit a number of unrelated
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enzymes, although it is likely that there are other mechanisms by which compounds may inhibit
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numerous enzymes. McGovern et al. 48, 49 identified and characterized a number of these “promiscuous”
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inhibitors by testing for properties that distinguished them from classical 1:1 reversible inhibitors.
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In conclusion, pyrogallol, catechol, saffron and phloroglucinol and tannic acid had anti-
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tyrosinase activity, but showed difference in their binding affinity for the tyrosinase. Therefore, this
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enzyme-based biosensor has the potential to be used in the detection and screening of new inhibitor
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drug candidates. Another advantage is that label free interactions are more sensitive compared with the
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spectroscopic methods. Inhibitors may therefore have good potential as antibrowning agents to be
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applied in food industries as well as in cosmetics. The sensors can be used for high-throughput
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screening of potential pharmaceutical drug candidates.
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Acknowledgements
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acknowledged. Prof. Jyoti Jadhav wishes to thank Interdisciplinary Programme for Life Sciences
BSR meritorious fellowship to Ms. Sushama A. Patil from UGC, New Delhi, India is gratefully
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sponsored by Department of Biotechnology Government of India under DBT-IPLS programme. All
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the authors would like to thank Maharashtra State Govt. for Golden Jubilee funding. The authors are
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thankful to IIT- Mumbai for CD spectroscopy facility.
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Conflict of interest: The authors have declared no conflict of interest.
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(41) Munoz-Munoz, J. L.; Garcia-Molina, F.; Garcia-Ruiz, P. A.; Molina-Alarcon, M.; Tudela, J.;
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Garcia-Canovas, F.; Rodriguez-Lopez, J. N. Phenolic substrates and suicide inactivation of
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tyrosinase: kinetics and mechanism. Biochem. J. 2008, 416, 413–40.
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(42) Munoz-Munoz, J. L.; Garcia-Molina, F.; Varon, R.; Garcia-Ruız, P. A.; Tudela, J.; Garcia-
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Canovas, F.; Rodrıguez-Lopez, J. N. Suicide inactivation of the diphenolase and
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monophenolase activities of tyrosinase. IUBMB Life. 2010, 62, 539–47.
328
(43) Yoon, N. Y.; Eom, T. K.; Kim, M. M.; Kim, S. K. Inhibitory effect of phlorotannins isolated from
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Ecklonia cava on mushroom tyrosinase activity and melanin formation in mouse B16 f 10
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melanoma cells. J Agric Food Chem. 2009, 57, 4124-29.
331 332
(44) Xin, Q. L.; Hao, H.; Qingxi, C. The inhibitory effect on mushroom tyrosinase by tannic acid. J of Xiaman Uni. Nat. sci. 2005, 44, 839-842.
333
(45) Song, Y. H. Why tyrosinase for treatment of melanoma. Lancet. 1997, 350, 82-83.
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(46) Gestwicki, J. E.; Hsieh, H. V.; Pitner, J. B. Using receptor conformational change to detect low
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molecular weight analytes by surface plasmon resonance. Anal. Chem. 2001, 73, 5732–37. (47) Myszka, D. G. Analysis of small-molecule interactions using Biacore S51 technology. Anal. Biochem. 2004, 329, 316–23. 15
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(48) McGovern, S. L.; Caselli, E.; Grigorieff, N.; Shoichet, B. K. A common mechanism underlying
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promiscuous inhibitors from virtual and high-throughput screening. J. Med Chem. 2002, 45,
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1712-22.
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(49) McGovern, S. L.; Shoichet, B. K. Kinase inhibitors: Not just for kinases anymore. J. Med. Chem. 2003, 46, 1478-83.
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Figure captions
362
Figure 1 Binding sensogram of various compounds towards immobilized mushroom tyrosinase (2353
363
RU), enzyme concentration was 50 µg ml-1 in 0.1 M sodium acetate buffer pH 4.5. Increasing
364
concentration for each compound (125 µM, 250 µM, and 500 µM) were injected simultaneously
365
over surface of immobilized enzyme and the total cycles ranges from 1 to 101 are as buffer (1-5),
366
followed by L-DOPA, catechol, L-tyrosine, phloroglucinol, ABTS, o-toludine, caffic acid,
367
gallic acid, guaiacol, syringaldehyde, pyrogallol, p-hydroxybenzoic acid, orcine, tannic acid,
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resorcinol, saffron, veratrol, vertryl alcohol, o-dianisidine hydroquinone, curcumin, glutathione,
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o-cresol, p-cresol, NaCl, sodium azide, ascorbic acid, kojic acid, thioglycolic acid, 2, 6
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dimethoxybenzoic acid, m-cresol, crocin etc (respective 3 cycles for each analyte). Flow rate
371
was maintained constant throughout the binding (10 µl/min).
372
Figure 2 Binding sensogram for pyrogallol interaction with immobilized mushroom tyrosinase
373
Increasing concentration of pyrogallol from 6.25, 12.5, 25, 50 and 100 µM were injected over
374
the enzyme surface. Flow rate (30 µl/min) contact time and dissociation time was kept at 120 s.
375
Regeneration was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min. The
376
data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data was fit to two
377
state.
378 379
Figure 3 The activity of enzyme after immobilization was confirmed by plotting RI (RU) response against concentration of substrate for L-DOPA (--♦--) and L-tyrosine (--■--).
380
Figure 4 Binding sensogram for catechol interaction with immobilized mushroom tyrosinase.
381
Increasing concentration of catechol from 12.5, 25, 50, 100 and 200 µM were injected over the
382
enzyme surface. Flow rate (30 µl/min) contact time and dissociation time was kept at 120 s.
383
Regeneration was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min. The 17
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384
data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data was fit to two
385
state.
386
Figure 5 Binding sensogram for saffron interaction with immobilized mushroom tyrosinase. Increasing
387
concentration of Saffron from 12.5, 25, 50, 100 and 200 µM were injected over the enzyme
388
surface. Flow rate (30 µl/min) contact time and dissociation time was kept at 120 s.
389
Regeneration was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min. The
390
data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data was fit to two
391
state. The resulting equilibrium dissociation constants are reported in Table 1.
392
Figure 6 Binding sensogram for phloroglucinol interaction with immobilized mushroom tyrosinase.
393
Increasing concentration of Phloroglucinol from 12.5, 25, 50, 100 and 200 µM were injected
394
over the enzyme surface. Flow rate (30 µl/min) contact time and dissociation time was kept at
395
120 s. Regeneration was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min.
396
The data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data was fit to
397
two state. The resulting equilibrium dissociation constants are reported in Table 1.
398
Figure 7 Binding sensogram for tannic acid interaction with immobilized mushroom tyrosinase.
399
Increasing concentration of Tannic acid from 6.25, 12.5, 25, 50 and 100 µM were injected over
400
the enzyme surface. Flow rate (30 µl/min) contact time and dissociation time was kept at 120 s.
401
Regeneration was carried out with 10 mM glycine HCl pH 2.5 for 30 s and at 30 µl/min. The
402
data analysis was done with Biacore X100 evaluation software ver 2.0.1 and data was fit to two
403
state. The resulting equilibrium dissociation constants are reported in Table 1.
404 405
Figure 8 CD spectrum of mushroom tyrosinase without ( (
), tannic acid (
), saffron (
) and catechol (
) and with pyrogallol (
), phloroglucinol
) at 200 µm concentration each.
406 18
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Figures
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409 410 411
Figure 1
412
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413 RU 180
R e s pons e
130
80
30
-20 -500
414
0
500
1000 Tim e
1500
2000
2500 s
415 416
Figure 2
417 418 419 420 421 422 423
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424 3.5
L-DOPA
L-tyrosine
3
RI (RU)
2.5 2 1.5 1 0.5 0 0
425
200
400
600
800
Concentration (µM)
426 427
Figure 3
428
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429 430 431 432 RU 25 20 15 10 R e s pons e
5 0 -5 -10 -15 -20 -25 -500
433
0
500
1000 Tim e
1500
2000
2500 s
434 435
Figure 4
436 437 438 439 440 441 442 443 444 445
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RU 20 15 10
R e s p on s e
5 0 -5 -10 -15 -20 -25 -500
446
0
500
1000 Tim e
1500
2000
2500 s
447 448 449
Figure 5
450 451 452 453 454 455 456 457 458 459 460 461 462
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RU 15
10
5
Response
0
-5
-10
-15
-20 -500
463
0
500
1000
1500
Tim e
2000
2500 s
464 465
Figure 6
466 467 468
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469 470 RU 5000
4000
3000
Response
2000
1000
0
-1000
-2000 -500
471
0
500
1000
1500
2000
2500 s
Tim e
472 473
Figure 7
474
25
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476 477 478
Figure 8
479
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Tables
481 482
Table 1 Interaction kinetics of mushroom tyrosinase with different inhibitors fit to two state model using Biacore evaluation software 483 Inhibitor
ka1(1/Ms)
kd1(1/s)
Ka2(1/s)
Kd2(1/s)
KD (M) 484
Tannic acid
Phloroglucinol
397.4±21
0.08624
8.708×10-4
0.001103
485 1.213×10-4±0.8
±0.0033
±4.1×10-5
±6.7×10-5
486
0.003219
7.136×10-5±2 487
±7.5×10-5
488
0.3582±0.019 5.208×10-4
4321±41
±5.2×10-4 Saffron
2.774×104
0.9011±0.089 0.003694
±3.2×103 Catechol
1.248×10
3.111×10-5±0.3 489
±0.0024 4
0.3185±0.015 4.848×10
±1.1×103 Pyrogallol
0.08329±0.031
297.2 ±7.5
-4
7.589× 10
-4
490 1.557×10 ±0.4 491 -5
±2.6×10-5
±6.3×10-5
0.02551
0.005049
5.176×10-4
492 7.981×10-6±2
±7.8×10-4
±8.2×10-5
±5.18×10-5
493 494
495
Standard error values were calculated from three measurements for each analyte by software itself
496
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497 498
Table 2 Changes in secondary structure of MT in presence of inhibitors
499 500 501 502 Inhibitors Wave length (nm) % changes
Pyrogallol 208 222
Phloroglucinol 208 222
Tannic acid 208 222
Saffron 208 222
Catechol 208 222
21.97 ±4.3
78.03 ±14.82
60.41 ±10.26
9.63 ±1.15
73.87 ±14.03
23.13 ±4.16
147 ±29.4
124.17 ±24.83
92.57 ±16.6
15.08 ±2.41
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TOC graphic
504
Tyrosinase
Tyrosinase
Screening using SPR Inhibitors
RU 180
130
R esponse
Binding sensogram
80
30
-20 -500
0
500
1000 Time
1500
2000
2500 s
505 506 507 508
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