Milligram scale enantioresolution of promethazine and its main metabolites, determination of their absolute configuration and assessment of enantioselective effects on human SY-SY5Y cells.

The misuse of pharmaceuticals has significantly increased in recent decades, becoming a major public health concern. The risks associated with medication misuse are particularly high in cases of overdose, especially when the active substances are chiral, as enantioselectivity plays an important role in toxicity. Promethazine (PMZ) is a chiral antihistamine marketed as a racemate and it is misused in "Purple Drank", a recreational drug beverage, that combines codeine and/or PMZ, with soda or alcohol leading to serious health consequences and fatalities in consumers around the world, particularly among teenagers. Information regarding the enantioselectivity in the toxicity of (R,S)-PMZ and its main metabolites, namely promethazine sulfoxide (PMZSO) and desmonomethyl promethazine (DMPMZ), is unknown. This work reported, for the first time, the enantioseparation, in milligram scale, of (R,S)-PMZ, (R,S)-DMPMZ, (R,S)- PMZSO and the determination of their absolute configurations by electronic circular dichroism (ECD). The enantioseparation of all the six enantiomers was accomplished in a homemade semi-preparative column with amylose tris-3,5-dimethylphenylcarbamate (AD) coated with aminopropyl Nucleosil silica. The enantiomeric purity was evaluated using the analytical Lux® 3 µm i-Amylose-3 column, yielding enantiomeric purity values ranging between 94.4% and 99.7%. The elution order of all the enantiomers was accomplished combining the ECD results with an optical rotation detector. The elution order of the enantiomers was influenced only by the chiral selector, rather than the mobile phase. The cytotoxicity of the racemates and the isolated enantiomers towards differentiated SH-SY5Y cells was evaluated. (R,S)-DMPMZ exhibited a significantly higher cytotoxicity than (R,S)-PMZ, suggesting the metabolic bioactivation of (R,S)-PMZ. Conversely, no significant cytotoxicity was found for (R,S)-PMZSO, underscoring a metabolic detoxification pathway. Remarkably, enantioselectivity was observed for the cytotoxicity of PMZ; (R)-PMZ was significantly more cytotoxic than (S)-PMZ. The results underscore the importance to isolate the enantiomers in their enantiomerically form and their correct identification for toxicity enantioselectivity studies, which are vital to understand the drug's behaviour and safety, especially in case of overdoses.

Combined application of DP4+ and ANN-PRA to determine the relative configuration of natural products: The alpha-bisabol case study.

The combination of computational methods and experimental data from Nuclear Magnetic Resonance (NMR) is a considerably valuable tool in the elucidation of new natural product structures and, also, in the structural revision of previously reported compounds. Until recently, only classical statistical parameters were used, for example, linear correlation coefficient (R2 ), mean absolute error (MAE), or root mean square deviation (RMSD), as a way to statistically "validate" the structure pointed out by experimental NMR spectra. Regarding the resolution of the relative configuration of organic molecules, novel tools were available in the last few years to assist in the NMR elucidation process. The most relevant are DP4+, which is based on a Bayesian probability, and ANN-PRA, which is based on artificial neural networks. The combined application of these tools has become the most accurate and important alternative to solve structural and stereochemical problems in natural product chemistry. Therefore, herein, in this case study, we intended to promote these novel tools, exploring the strengths and limitations of each approach in resolving the relative configuration of the sesquiterpene alpha-bisabol. We also highlighted the advantages of the complementary use of H- and C-DP4+ to obtain optimal results in the differentiation of the stereoisomers, validating the proposal with ANN-PRA method.

Structural determination of complex natural products by quantum mechanical calculations of (13)C NMR chemical shifts: development of a parameterized protocol for terpenes.

Nuclear magnetic resonance (NMR) spectroscopy is one of the most important tools for determining the structures of organic molecules. Despite the advances made in this technique, revisions of erroneously established structures for natural products are still commonly published in the literature. In this context, the prediction of chemical shifts through ab initio and density functional theory (DFT) calculations has become a very powerful tool for assisting with the structural determination of complex organic molecules. In this work, we present the development of a protocol for (13)C chemical shift calculations of terpenes, a class of natural products that are widely distributed among plant species and are very important due to their biological and pharmacological activities. This protocol consists of GIAO-DFT calculations of chemical shifts and the application of a parameterized scaling factor in order to ensure accurate structural determination of this class of natural products. The application of this protocol to a set of five terpenes yielded accurate calculated chemical shifts, showing that this is a very attractive tool for the calculation of complex organic structures such as terpenes.