Abstract
Immobilized artificial membrane chromatography has been reported providing a rough estimation of phospholipidosis induction risk of drugs. Unfortunately, however, the accurate assessment of basic drugs remains a challenge. In this study, we aimed to evaluate the hydrophobic interactions and ionic/polar interactions between a basic drug and an immobilized artificial membrane to clearly discriminate between phospholipidosis inducers and non-inducers. The retention of 14 model basic drugs was determined using mobile phases with varying acetonitrile contents. The Van’t Hoff plot using an acetonitrile-rich mobile phase revealed that most of the inducers showed biphasic retention, whereas the retention of non-inducers was monophasic. Then, effect of the ionic/polar interactions on the discrimination between DIPL inducers and non-inducers was then studied. For this aim, salts concentration was increased in the acetonitrile-rich mobile phase. No significant difference was observed between chlorpromazine (inducer) and pindolol (non-inducer) as the model drugs. We then compared the acetonitrile concentration when the dominant interaction was shifted from the reversed phase retention to the ionic/polar interactions. We found that the acetonitrile levels when the dominant interaction of the inducers shifted from the hydrophobic interaction to the ionic/polar interactions were higher than those of non-induces. In addition, at the optimized acetonitrile content, the inducers and non-inducers can be correctly discriminated. Shift of the dominant interaction in retention to the immobilized artificial membrane shows a possibility as a novel tool for the risk prediction of phospholipidogenisity.
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The data that supports the findings of this study are available within the article and its supplementary material.
References
Grumetto L, Russo G, Barbato F (2016) Polar interactions drug/phospholipids estimated by IAM-HPLC vs cultured cell line passage data: their relationships and comparison of their effectiveness in predicting drug human intestinal absorption. Int J Pharm 500:275–290. https://doi.org/10.1016/j.ijpharm.2016.01.019
Grumetto L, Carpentiero C, Barbato F (2012) Lipophilic and electrostatic forces encoded in IAM-HPLC indexes of basic drugs: their role in membrane partition and their relationships with BBB passage data. Eur J Pharm Sci 45:685–692. https://doi.org/10.1016/j.ejps.2012.01.008
Grumetto L, Russo G, Barbato F (2016) Immobilized artificial membrane HPLC derived parameters vs PAMPA-BBB data in estimating in situ measured blood-brain barrier permeation of drugs. Mol Pharmaceutics 13:2808–2816. https://doi.org/10.1021/acs.molpharmaceut.6b00397
Valko KL, Teague SP, Pidgeon C (2017) In vitro membrane binding and protein binding (IAM MB/PB technology) to estimate in vivo distribution: applications in early drug discovery. ADMET DMPK 5:14–38. https://doi.org/10.5599/admet.5.1.373
Ong S, Liu H, Pidgeon C (1996) Immobilized-artificial-membrane chromatography: measurements of membrane partition coefficient and predicting drug membrane permeability. J Chromatogr A 728:113–128. https://doi.org/10.1016/0021-9673(95)00837-3
Vrakas D, Giaginis C, Tsantili-Kakoulidou A (2008) Electrostatic interactions and ionization effect in immobilized artificial membrane retention: a comparative study with octanol-water partitioning. J Chromatogr A 1187:67–78. https://doi.org/10.1016/j.chroma.2008.01.079
Tsopelas F, Stergiopoulos C, Tsakanika LA, Ochsenkühn-Petropoulou M, Tsantili-Kakoulidou A (2017) The use of immobilized artificial membrane chromatography to predict bioconcentration of pharmaceutical compounds. Ecotoxicol Environ Saf 139:150–157. https://doi.org/10.1016/j.ecoenv.2017.01.028
Taillardat-Bertschinger A, Martinet CAM, Carrupt PA, Reist M, Caron G, Fruttero R, Testa B (2002) Molecular factors influencing retention on immobilized artificial membranes (IAM) compared to partitioning in liposomes and n-octanol. Pharm Res 19:729–737. https://doi.org/10.1023/A:1016156927420
Liu X, Testa B, Fahr A (2011) Lipophilicity and its relationship with passive drug permeation. Pharm Res 28:962–977. https://doi.org/10.1007/s11095-010-0303-7
Kodavanti UP, Mehendale HM (1990) Cationic amphiphilic drugs and phospholipid storage disorder. Pharmacol Rev 42(4):327–354
Zhao XL, Chen WJ, Liu ZH, Guo JL, Zhou ZY, Crommen J, Moaddel R, Jiang ZJ (2014) A novel mixed phospholipid functionalized monolithic column for early screening of drug induced phospholipidosis risk. J Chromatogr A 1367:99–108. https://doi.org/10.1016/j.chroma.2014.09.048
Jiang Z, Reilly J (2012) Chromatography approaches for early screening of the phospholipidosis-inducing potential of pharmaceuticals. J Pharm Biomed Anal 61:184–190. https://doi.org/10.1016/j.jpba.2011.11.033
Tomizawa K, Sugano K, Yamada H, Horii I (2006) Physicochemical and cell-based approach for early screening of phospholipidosis-inducing potential. J Toxicol Sci 31:315–324. https://doi.org/10.2131/jts.31.315
Ploemen JHTM, Kelder J, Hafmans T, van de Sandt H, van Burgsteden JA, Salemink PJM, van Esch E (2004) Use of physicochemical calculation of pKa and CLogP to predict phospholipidosis-inducing potential: a case study with structurally related piperazines. Exp Toxic Pathol 55:347–355. https://doi.org/10.1078/0940-2993-00338
van de Water FM, Having J, Ravesloot WT, Horbach GJMJ, Schoonen WGEJ (2011) High content screening analysis of phospholipidosis: validation of a 96-well assay with CHO-K1 and HepG2 cells for the prediction of in vivo based phospholipidosis. Toxicol In Vitro 25:1870–1882. https://doi.org/10.1016/j.tiv.2011.05.026
Iwakuma Y, Okamoto H, Hamaguchi R, Kuroda Y (2019) The limited contribution of the analyte partition to the water-rich layer in immobilized artificial membrane chromatography with an acetonitrile-rich binary mobile phase. Chromatographia 82:1311–1320. https://doi.org/10.1007/s10337-019-03750-9
Alpert AJ (1990) Hydrophilic-interaction chromatography for the separation of peptides, nucleic acids and other polar compounds. J Chromatogr A 499:177–196. https://doi.org/10.1016/S0021-9673(00)96972-3
Guo Y (2015) Recent progress in the fundamental understanding of hydrophilic interaction chromatography (HILIC). Analyst 140:6452–6466. https://doi.org/10.1039/C5AN00670H
Valkó K, Bevan C, Reynolds D (1997) Chromatographic hydrophobicity index by fast-gradient RP-HPLC: a high-throughput alternative to log P/log D. Anal Chem 69:2022–2029. https://doi.org/10.1021/ac961242d
Ong S, Pidgeon C (1995) Thermodynamics of solute partitioning into immobilized artificial membranes. Anal Chem 67:2119–2128. https://doi.org/10.1021/ac00109a034
Valkó K, Du CM, Bevan CD, Reynolds DP, Abraham MH (2000) Rapid-gradient HPLC method for measuring drug interactions with immobilized artificial membrane: comparison with other lipophilicity measures. J Pharm Sci 89:1085–1096. https://doi.org/10.1002/1520-6017(200008)89:8%3C1085::AID-JPS13%3E3.0.CO;2-N
Valkó KL (2016) Lipophilicity and biomimetic properties measured by HPLC to support drug discovery. J Pharm Biomed Anal 130:35–54. https://doi.org/10.1016/j.jpba.2016.04.009
Casartelli A, Bonato M, Cristofori P, Crivellente F, Dal Negro G, Masotto I, Mutinelli C, Valkó K, Bonfante V (2003) A cell-based approach for the early assessment of the phospholipidogenic potential in pharmaceutical research and drug development. Cell Biol Toxicol 19:161–176. https://doi.org/10.1023/A:1024778329320
Yatvin MB, Weinstein JN, Dennis WH, Blumenthal R (1978) Design of liposomes for enhanced local release of drugs by hyperthermia. Science 202:1290–1293. https://doi.org/10.1126/science.364652
Nerdal W, Gundersen SA, Thorsen V, Høiland H, Holmsen H (2000) Chlorpromazine interaction with glycerophospholipid liposomes studied by magic angle spinning solid state 13C-NMR and differential scanning calorimetry. Biochim Biophys Acta Biomembr 1464:165–175. https://doi.org/10.1016/S0005-2736(00)00125-5
Alves L, Staneva G, Tessier C, Salgado GF, Nuss P (2011) The interaction of antipsychotic drugs with lipids and subsequent lipid reorganization investigated using biophysical methods. Biochim Biophys Acta Biomembr 1808:2009–2018. https://doi.org/10.1016/j.bbamem.2011.02.021
Evanics F, Prosse RS (2005) Discriminating binding and positioning of amphiphiles to lipid bilayers by 1H NMR. Anal Chim Acta 534:21–29. https://doi.org/10.1016/j.aca.2004.06.061
Avdeef A, Box KJ, Comer JEA, Hibbert C, Tam KY (1998) pH-metric logP 10. Determination of liposomal membrane-water partition coefficients of lonizable drugs. Pharm Res 15:209–215. https://doi.org/10.1023/A:1011954332221
Ståhlberg J (1999) Retention models for ions in chromatography. Chromatogr A 855:3–55. https://doi.org/10.1016/S0021-9673(99)00176-4
Vitovic P, Alakoskela JM, Kinnunen PK (2008) Assessment of drug−lipid complex formation by a high-throughput langmuir-balance and correlation to phospholipidosis. J Med Chem 51:1842–1848. https://doi.org/10.1021/jm7013953
Zhou L, Geraci G, Hess S, Yang L, Wang J, Argikar U (2011) Predicting phospholipidosis: a fluorescence noncell based in vitro assay for the determination of drug-phospholipid complex formation in early drug discovery. Anal Chem 83:6980–6987. https://doi.org/10.1021/ac200683k
Yudate HT, Kai T, Aoki M, Minowa Y, Yamada T, Kimura T, Ono A, Yamada H, Ohno Y, Urushidani T (2012) Identification of a novel set of biomarkers for evaluating phospholipidosis-inducing potential of compounds using rat liver microarray data measured 24-h after single dose administration. Toxicol 295:1–7. https://doi.org/10.1016/j.tox.2012.02.015
Przybylak KR, Cronin MTD (2011) In silico studies of the relationship between chemical structure and drug induced phospholipidosis. Mol Inf 30:415–429. https://doi.org/10.1002/minf.201000164
Ceccarelli M, Wagner B, Alvarez-Sánchez R, Cruciani G, Goracco L (2017) Use of the distribution coefficient in brain polar lipids for the assessment of drug-induced phospholipidosis risk. Chem Res Toxicol 30:1145–1156. https://doi.org/10.1021/acs.chemrestox.6b00459
Takayama N, Lim LW, Takeuchi T (2017) Retention behavior of inorganic anions in hydrophilic interaction chromatography. Anal Sci 33:619–623. https://doi.org/10.2116/analsci.33.619
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Iwakuma, Y., Okamoto, H., Hamaguchi, R. et al. Immobilized Artificial Membrane Chromatography Using Acetonitrile-Rich Mobile Phase for Comparison of Retention Properties Between Phospholipidosis-Inducing and Non-inducing Basic Drugs. Chromatographia 86, 43–54 (2023). https://doi.org/10.1007/s10337-022-04225-0
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DOI: https://doi.org/10.1007/s10337-022-04225-0