Enhanced high-performance liquid chromatography method for the determination of retinoic acid in plasma. Development, optimization and validation
Introduction
The term ‘retinoid’ refers to a group of endogenous and synthetic molecules structurally similar to retinol (ROH), which is the principal form of Vitamin A, transported in the blood of most vertebrate organisms. ROH is metabolized to retinoic acid (RA) and related geometric isomers which have been detected in blood and embryonic target cells of mammals and birds [1]. These highly potent signaling molecules bind nuclear receptors evoking pleiotropic effects observed at the tissue-organism level. Retinoids have been extensively studied in birds and mammals where their imbalances are associated with multiple dysfunctions including various dermal lesions, immunosuppression, susceptibility to disease (including cancer and parasitic infections), changes in secondary sexual characteristics, inhibition of spermatogenesis, decreased embryo survival, deformities, embryonic development, and numerous other effects on reproduction [1]. There are a number of endogenous geometric isomers of RA (each of them with unique function) [2]. Many tissues and plasma have been reported containing all-trans-RA; 9,13-cis-RA; 13-cis-RA; 9-cis-RA and 11-cis-retinoids [3].
In the pharmaceutical field, both RA and 13-cis-RA are widely used in the treatment of various dermatological diseases such as acne, psoriasis, skin cancer and photoaging, regulating growth and differentiation of epithelial cell, sebum production, and collagen synthesis [2], [4].
Because RA isomers are isobaric and have overlapping ultraviolet (UV) spectral profiles, mass detection and/or single wavelength UV detection cannot distinguish the identities of geometric isomers that co-elute. Therefore, analysis of RA requires the chromatographic separation of endogenous isomers before detection [3]. A literature search reveals that techniques like gas chromatography (GC), high performance liquid chromatography (HPLC) column-switching with and without direct injection of plasma, ultra high performance liquid chromatography (UHPLC) and capillary electrophoresis (CE), using ultraviolet, fluorescence and mass spectrometer detectors, have been mostly used in developing methods for determining RA and its isomers [5], [6], [7], [8], [9]. Different methods have been presented to determine these compounds, in most of them the analytes being separated with retention times close to 30 min by using C18 columns (4.6 mm × 250 mm, 5.0 μm particle size) [6], [7], [8], [9].
Measurement of drug concentrations in biological matrices (such as serum, plasma, blood, urine, and saliva) and in pharmaceuticals is an important aspect of medicinal product development. Such data may be required to support applications for new actives substances and generics as well as variations to authorized drug products. The results of animal toxicokinetic studies and of clinical trials, including bioequivalence studies are used to make critical decisions supporting the safety and efficacy of a medicinal drug substance or product.
It is therefore paramount that the applied bioanalytical methods used are well characterized and fully validated in order to yield reliable results. Acceptance criteria wider than those defined in Guideline on Bioanalytical Method Validation of European Medicines Agency may be used in special situations, which should be prospectively defined based on the intended use of the method [10].
In this work a novel HPLC-UV method was developed, optimized and fully validated for its application in the simultaneous determination of RA and their isomers in plasma. For carrying out the objectives, three variables of the chromatographic system were studied through a central composite design to optimize four responses simultaneously in order to obtain the optimum parameters to decrease the retention time, the solvent expense and the cost of the analysis. Variables and design selection, as well as models fitting and optimization criteria to reach the global desirability are discussed.
Validation of bioanalytical methods is straightforward when analyte-free matrix and well-characterized reference standard of the analyte are available. However, the quantitative determination of endogenous (i.e. naturally occurring) compounds is more complicated because the lack of analyte-free samples of the authentic biological matrix or samples with accurately-know analyte concentrations. Therefore, the preparation of reference samples has to be addressed in a different way and, as a consequence, validation also becomes less straightforward [11]. In these cases, quantitation can be carried out by two strategies: the use of surrogate analyte in the authentic matrix or the use of authentic analyte in a surrogate matrix [11].
On the other hand, to the date, there are not official guidelines dealing with the validation of chromatographic methods for endogenous analytes and, usually, the ones existing for pharmaceuticals and xenobiotic compounds have been adapted for endogenous compounds. Thus, some authors applied method validation principles for drug assays, in particular those issued by the US FDA [12]. Whereas most authors define analytical figures of merit in the same way for xenobiotic and for endogenous compounds, Tsikas [13] pointed out that these parameters should be determined differently in both samples, as the basal concentration of endogenous (C0,Ln) varies among biological samples, and defined the relative lower limit of quantitation (rLLOQ), which is corrected by the C0,Ln. In addition, Schmidt et al. [14] proposed to subtract the peak areas from the corresponding unspiked blank sample to the peak area of each spiked sample, thus avoiding errors related to the calculation of C0,Ln.
In the present work, a chromatographic method has been developed to determine the endogenous compound (RA) and obtaining information about its isomers in human and frog plasma samples in less than twelve min. Validation has been carried out using a holistic approach which considers the most relevant procedures for checking the quality parameters, as well as the estimation of robustness and measurement uncertainty. As in this case makes no sense the use of surrogate analyte in the authentic matrix because the DAD detector cannot discriminate it, the alternative approach would be the use of authentic analyte in a surrogate matrix. However, we think that to subtract the basal concentration of analyte from its signal is a more realistic option and thus, the signal corresponding to the unspiked sample was subtracted when it was suitable.
Section snippets
Apparatus and software
All experiments were performed using an Agilent 1100 Series liquid chromatograph equipped with a quaternary pump, degasser membrane, thermostated column compartment, autosampler and (DAD) (Agilent Technologies, Waldbronn, Germany). Chromatograms were registered at 350 nm. The Chemstation version B 0103 was used for data acquisition and processing. The HPLC column was a Zorbax C18 (4.6 mm × 75 mm, 3.5 μm particle size) from Agilent. Experimental design, surface response modeling and desirability
Optimization of the chromatographic separation
The use of experimental design in separation science has been increased in the last years [17], [18], [19], [20], [21], [22], [23]. In this context, the popularly called response surface methodology (RSM) enables to find the optimum experimental conditions to reach certain responses that assure the best system performance [24].
Although factorial and response surface designs such as the central composite design (CCD) possess many advantages, when working with solvent systems, high and low levels
Conclusions
A chromatographic method has been developed to determine the endogenous compound retinoic acid in human and frog plasma samples using DAD detection. The plasma samples were undergone to an extraction procedure with ethyl acetate (50%) and hexane (50%) and as consequence the retinoic acid was split giving four peaks in addition to the one of RA and, therefore, the standards used were also undergone to the same extraction procedure. Validation was carried out using a holistic approach which
Acknowledgments
The authors are grateful to Universidad Nacional del Litoral (Project CAI + D N° 11-11), to CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas, Project PIP 455) and to ANPCyT (Agencia Nacional de Promoción Científica y Tecnológica, Project PICT 2011-0005) for financial support. C.M.T. thanks CONICET for her fellowship.
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