Corresponding author: Maya Georgieva ( maya.bg77@gmail.com ) Academic editor: Plamen Peikov
© 2022 Alexandrina Mateeva, Lily Peikova, Magdalena Kondeva-Burdina, Maya Georgieva.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Mateeva A, Peikova L, Kondeva-Burdina M, Georgieva M (2022) Development of new HPLC method for identification of metabolic degradation of N-pyrrolylhydrazide hydrazones with determined MAO- B activity in cellular cultures. Pharmacia 69(1): 15-20. https://doi.org/10.3897/pharmacia.69.e78417
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In this research, a new rapid PR- HPLC method was developed for the determination of metabolites in isolated rat hapatocytes. The chromatographic parameters, including the stationary and mobile phases, outlet pressure, temperature and flow rate, were optimized. The method identified two initial from the synthesis molecules in higher concentration and one new unidentified structure as products of the hepatocytic processing of the evaluated analyte. The results identified as first step of metabolism the hydrolysis of the hydrazone group. Further investigations should be aimed into determining the next metabolic transformations, predicted by the in silico application of the web server SMARTCyp.
isolated rat hepatocytes, metabolism, N-pyrrolylhydrazide hydrazone, RP-HPLC method
Drug-metabolism studies have major role in the medicinal chemistry considering the huge potential for lead optimization, detection of toxic metabolites, excretion route identification and rate of drug clearance (
Metabolism of drugs include complex of reactions, which biotransformed the initial molecule to structurally different derivatives (metabolites) during the first passage through the liver (
Hepatocytes, the major parenchymal cells in the liver, play pivotal roles in metabolism, detoxification, and protein synthesis. Hepatocytes also activate innate immunity against invading microorganisms by secreting innate immunity proteins (
In vitro hepatocyte models represent very useful systems in both fundamental research and various application areas. Primary hepatocytes appear as the closest model for the liver in vivo. In vitro hepatocyte models have brought a substantial contribution to the understanding of the biochemistry, physiology, and cell biology of the normal and diseased liver and in various application domains such as xenobiotic metabolism and toxicity, virology, parasitology, and more generally cell therapies (
The application of this model for preliminary metabolic identification of newly synthesized biologically active molecules seems quite reasonable and time and cost spearing.
Recently, a pyrrole-based aryl hydrazide-hydrazone with eminent antioxidant capacity has been reported (
In this point of view, the tentative information on possible metabolic transformation of the targeted pyrrole based hydrazide-hydrazone molecule will be essential for the further development of this class of structures as core for biologically active molecules.
This defined the aim of the present work pointed to the development of a sensitive and reliable analytical method for determination of hydrazide-hydrazone metabolites of pyrrole based molecules in isolated rat hepatocytes and subsequent, validation of the method according to ICH guidelines.
All of the solvents used in the current work were purchased from Sigma Aldrich and are with European pharmacopoeia purity. Potassium dihydrogen phosphate, disodium hydrogen phosphate dihydrate and orthophosphoric acid were obtained from Sigma-Aldrich and are of analytical grade. The evaluated hydrazide-hydrazone derivative was synthesized as described in a recent work by Tzankova et al. (
A male Wistar rats with body weights around 200 g were used. The latter were housed in plexiglass cages at room temperature in 12/12 light/dark cycle. The animals were purchased from the National Breeding Centre, Sofia, Bulgaria and all performed procedures were approved by the Institutional Animal Care Committee with accordance with European Union Guidelines for animal experimentation.
Sodium pentobarbital (0.2 mL/100 g) was employed for the anesthesia of the rats. A modified method described by Fau et al. (
The liver was excised, minced into small pieces and hepatocytes were dispersed in 60 mL Krebs-Ringer-bicarbonate (KRB) buffer (pH = 7.35), containing 1.2 mM KH2PO4, 1 mM CaCl2, 1.2 mM MgSO4, 5 mMKCl 5 mM NaHCO3, 4.5 mM glucose and 1% bovine serum albumin. After the initial filtration, the hepatocytes were centrifuged at 500 g for 1 minute and washed three times with KRB buffer. Cells were counted under the microscope and the viability was assessed by Trypan blue exclusion (0.05%), which was calculated to be 89% in average (
The hepatocytes were incubated at KRB buffer with 50 µM hydrazide- hydrazone compound for 2 h. Subsequently, the obtained cell emulsion was precipitated with 1 mL HPLC grade methanol and centrifugated for 15 min at 14 000 rpm. The supernatant was double filtered through PVDF sterile syringe filters (through 0.47 µm, and through 0.22 µm).
The applied chromatography system was constructed out of UltiMateDionex 3000 SD pump connected to UltiMateDionex DAD 3000 detector. Separation of compounds was performed on a 15 × 0.46 cm, 5 μm particle size, Purospher C18 Column protected by a C18 guard column (SecurityGuard HPLC Cartridge System; Phenomenex). The former was conditioned at 25 °C in a column oven. Data were recorded and evaluated by Chromeleon 7 software.
The mobile phase consisted of acetonitrile: buffer pH 3.5: methanol in ratio 57/38/5 (v/v/v). The mobile phase buffer was prepared according to the European Pharmacopea and filtered through a membrane filter (0.20 μm) using a Millipore glass filter holder. The flow rate was set to 0.8 mL/min with injection volume of 10 µL.
The specificity is defined as the ability to assess unequivocally the analyte in the presence of components which may be expected to be present. The specificity of the developed technique was confirmed by checking of test solutions and the special solvent chromatograms (ICH Guidlines Q2 R1 2005).
The linearity of the analytical method is based on the direct proportional dependence of the analytical signal on the concentration (amount) of the analyte in the sample within the analytical area of the method (ICH Q2 R1 2005). In order to prove the linearity of a method, the correlation coefficient must be above 0.99.
To assess the system suitability, retention time of six injections of the standard solution, tailing factor and theoretical plates were used.
Limit of Detection (LOD) is the smallest amount of analyte in a sample which can be identified, however not necessarily accurately quantified. Limit of Quantification (LOQ) is the minimum amount of a substance in a sample that can be quantified with the appropriate precision and accuracy. Limit of Detection (LOD) and Limit of Quantitation (LOQ) were resoluted using calibration curve method by applying the following equals: LOD = 3.3 × Sa/b and LOQ = 10 × Sa/b (ICH Q2 R1 2005).
The ICH Q2 R1 Guideline defines the precision procedure as the closeness of results between a series of measurements for a sample taken from the same homogeneous solution under the specified conditions.
The accuracy of an analytical procedure expresses the closeness of the results obtained by the method to the true value (
The stability of the targeted pyrrole hydrazone was evaluated through an RP-HPLC method developed and applied by Tzankova et al. (
Specificity of the method was evaluated by injecting 20 μl solutions of standard, sample, and blank separately. The blank solution does not give interfering peaks at the retention time of analyzing compound.
Linearity was studied by analysis of standard solutions of the hydrazide- hydrazone compound at different concentrations using methanol as a solvent. The obtained data was analyzed after conducting 5 different levels of dilution (35, 70, 105, 140, 175 μg/mL). Thereafter, the results were used to build a calibration curve, with a subsequent calculation of the linear equation and the correlation coefficient. The aforementioned parameters are given in Table
Compound | Calibration range (µg/mL) | Linear equation | Correlation coefficient |
---|---|---|---|
5a | 35–175 | y = 1.673×+ 13.082 | 0.9904 |
The obtained results confirm the linearity of the constructed method.
System suitability data was evaluated based on the chromatogram of the hydrazone solution. Precision was assessed by analyzing six samples with concentration of 70 µg/mL and the Relative standard deviation was calculated. Results are summarized in Table
Acceptance criteria | Limits | Result |
---|---|---|
Retention time (min) ± SD | - | 24.652 ± 0.0059 |
Tailing factor | ≤ 2 | 0.95 |
Theoretical Plates | ≥ 850 | 5702 |
RSD of peak areas | ≤ 2 | 0.581 |
LOD (µg/mL) | - | 9.23 |
LOQ (µg/mL) | - | 27.30 |
The accuracy of the method was determined by recovery studies applying three concentration levels (50%, 100%, and 150%) and three samples from each concentration were injected. The obtained results demonstrated percentage recovery in the range of 99.9–100.8% at all three levels (Table
% Spiked level | Replicate number | Spiked level (μg/mL) | Recovery (µg/mL) | % Recovery |
---|---|---|---|---|
50 | 1 | 35 | 34.98 | 99.9 |
2 | 35.12 | 100.3 | ||
3 | 35.16 | 100.5 | ||
100 | 1 | 70 | 70.02 | 100.0 |
2 | 70.58 | 100.8 | ||
3 | 70.14 | 100.2 | ||
150 | 1 | 105 | 105.00 | 100.0 |
2 | 104.87 | 99.9 | ||
3 | 105.05 | 100.0 | ||
Mean (% of recovery) | 98.0 – 102.0 | 100.192 | ||
% RSD | Max 2.0 | 0.304494 |
As most appropriate compound for the preliminary evaluation of the metabolic transformations in isolated rat hepatocyte suspension was selected (E)-ethyl 5-(4-bromophenyl)-1-(1-(2-(2-hydroxybenzylidene)hydrazinyl)-1-oxo–3–phenylpropan-2-yl)–2–methyl–1H-pyrrole-3-carboxylate (Figure
The developed RP-HPLC method was applied for determination of the initial hydrazide and salicyl aldehyde, which were hydrolytical products and possible metabolites. The identified retention times of the tested compounds are 5.74 min for the N-pyrrolylhydrazide and 2.10 min for the aldehyde.
For determination of the possible hydrazone`s metabolites the developed and optimized RP-HPLC-DAD method was applied. In the performed investigation after 30 min incubation in isolated rat hepatocytes, three new peaks appeared (Figure
As demonstrated in Figure
The retention time of the new peak is not ascribable to any of the known and used as references molecules. This leads to the conclusion of possible formation of new unidentified metabolic product.
In addition it was of interest to try to predict the possible structure of the unidentified metabolic derivative. For this purpose a virtual preliminary metabolic evaluation with the online server SMARTCyp (
The performed RP-HPLC evaluation and in silico prediction determined that the metabolic transformation of the evaluated (E)-ethyl 5-(4-bromophenyl)-1-(1-(2-(2-hydroxybenzylidene) hydrazinyl)- 1 oxo–3–phenylpropan-2-yl) –2–methyl–1H-pyrrole-3-carboxylate is associated with hydrolytic degradation of the newly formed hydrazide-hydrazone group and additional hydroxylation or epoxidation in the presence of hepatocyte cells. The identification of the newly detected peak at 9.14 min will be a subject of additional research.
New optimized sensitive RP-HPLC method for identification of possible metabolic degradation of (E)-ethyl 5-(4-bromophenyl)-1-(1-(2-(2-hydroxybenzylidene)hydrazinyl)-1-oxo–3–phenylpropan-2-yl)–2–methyl–1H-pyrrole-3-carboxylate was developed and validated. The method was applied for tracking the metabolic changes of the evaluated pyrrole derivative. The method identified two initial from the synthesis molecules in higher concentration and one new unidentified structure as products of the hepatocytic processing of the evaluated analyte. The results identified as first step of metabolism the hydrolysis of the hydrazone group. Further investigations should be aimed into determining the next metabolic transformations, predicted by the in silico application of the web server SMARTCyp (
This work was supported by Grants from Medical Science Council of Medical University of Sofia (project No.: 7902/19.11.2020, Contract No.: D-104/04.06.2021).