Metabolite profiling of IMID-2, a novel anticancer molecule of piperazine derivative: In silico prediction, in vitro and in vivo metabolite characterization using UPLC-QTOF-MS/MS

Identification and characterization of the rat in-vivo and in-vitro metabolites of tazemetostat using LC-QTOF-MS

In drug discovery, metabolite profiling unveils biotransformation pathways and potential toxicant formation, guiding selection of candidates with optimal pharmacokinetics and safety profiles. Tazemetostat (TAZ) is employed in treating locally advanced or metastatic epithelioid sarcoma. Identification of drug metabolites are of significant importance in improving safety, efficacy and reduced toxicity of drugs. The current study aimed to investigate the comprehensive metabolic fate of TAZ using different in vivo (rat) and in vitro (RLM, HLM, HS9) models. For in vivo studies, drug was orally administered to Sprague-Dawley rats with subsequent analysis of plasma, feces and urine samples. A total of 21 new metabolites were detected across various matrices and were separated on Phenomenex kinetex C18 (2.5 μm; 150 × 4.6 mm) column using acetonitrile and 0.1% formic acid in water as mobile phase. LC-QTOF-MS/MS and NMR techniques were employed to identify and characterize the metabolites from extracted samples. The major metabolic routes found in biotransformation of TAZ were hydroxylation, N-dealkylation, N-oxidation, hydrogenation, hydrolysis and N-acetylation. In silico toxicity revealed potential immunotoxicity for TAZ and few of its metabolites. This research article is the first time to discuss the complete metabolite profiling including identification and characterization of TAZ metabolites as well as its biotransformation mechanism.

Ultra-high-performance liquid chromatography-quadrupole time of flight tandem mass spectrometry based in vitro metabolite profiling of DK-GV-04P, a novel anticancer molecule under drug discovery

DK-GV-04P, chemically identified as 3-cinnamyl-2-(4-methoxyphenyl) quinazolin-4(3H)-one, is an investigational molecule synthesized at the Chemical Biology Laboratory of the National Institute of Pharmaceutical Education and Research-Ahmedabad. The compound has shown potential anticancer activity against squamous CAL27 cell lines. Metabolite identification and characterization are critical in drug discovery, providing key insights into a compound's pharmacokinetics, pharmacodynamics safety, and metabolic fate. The primary aim of the study was to identify and characterize the in vitro metabolites of DK-GV-04P. In silico identification of the site of metabolism was also carried out using xenosite online software. The molecule was incubated with human liver microsomes and human S9 liver fraction to generate in vitro metabolites, which were further identified and characterized using ultra-high-performance liquid chromatography-quadrupole time of flight tandem mass spectrometry. A total of nine metabolites (four phase I and five phase II) were identified and characterized through tandem mass spectrometry. The major biotransformation pathways involved in metabolism of DK-GV-04P were hydroxylation, O-demethylation and glucuronidation. In addition to this, a detailed biotransformation pathway of DK-GV-04P has been established in this study.

Comprehensive characterization and preclinical assessment of an imidazopyridine-based anticancer lead molecule

Imidazopyridine scaffold holds significant pharmacological importance in the treatment of cancer. An in-house synthesized imidazopyridine-based molecule was found to have promising anticancer activity against breast cancer, lung cancer, and colon cancer. The molecule is an inhibitor of pyruvate kinase M2, the enzyme that elevates tumor growth, metastasis and chemoresistance by directly controlling tumor cell metabolism. Screening of the physicochemical properties of any lead molecules is essential to avoid failure in late-stage drug development. In this research, the physicochemical properties of the molecule including log P, log D, pKa, and plasma protein binding were assessed to check its drug-likeness. Plasma and metabolic stability of the molecule were also evaluated. Moreover, pharmacokinetic profiles of the lead molecule in Sprague-Dawley rats and in vitro metabolite identification studies were also performed. Finally, an in silico software, Pro-Tox-II, was used to predict toxicity of the molecule and its metabolites. Log P, Log D (pH 7.4), pKa, and plasma protein binding of the molecule were found to be 2.03%, 2.42%, 10.4%, and 98%, respectively. The molecule was stable in plasma and metabolic conditions. A total of nine new metabolites were identified and characterized. Cmax and t½ of this molecule were found to be 4016 ± 313.95 ng/mL and 9.57 ± 3.05 h, respectively. Based on the previously reported study and this finding, the molecule can be considered as a promising anticancer lead with potential drug-likeness properties. Further preclinical and clinical drug discovery studies may be initiated in continuation of this study in search of a potential anticancer lead.

High resolution mass spectrometry-driven metabolite profiling of baricitinib to report its unknown metabolites and step-by-step reaction mechanism of metabolism

RATIONALE

Metabolite profiling is an integral part of the drug development process for selecting candidates with high therapeutic efficacy and low risk. Baricitinib (BARI) was approved in 2018 by the US Food and Drug Administration to treat rheumatoid arthritis. According to the available literature, no systematic study has been reported on the metabolite profiling of BARI. The biotransformation pathway of the drug has also not been established until recently. This study aims to identify BARI metabolites generated in in vitro matrices.

METHODS

The in vitro metabolism study was carried out using rat liver microsome, human liver microsomes, and human S9 fraction. Ultra high-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (U-HPLC-Q/TOF) and ultra-high-performance liquid chromatography/linear ion trap-Orbitrap mass spectrometry (U-HPLC/LTQ-Orbitrap-MS/MS) were used to identify and characterize the metabolites of BARI. The in silico toxicity of BARI and its metabolite was studied using ProTox-II toxicity predictor software.

RESULTS

A total of five new metabolites have been identified amongst which two (M1 and M2) were detected on both U-HPLC/LTQ-Orbitrap-MS/MS and U-HPLC-Q/TOF and two additional metabolites (M4 and M5) were detected on U-HPLC/LTQ-Orbitrap-MS/MS. Moreover, one metabolite (M3) was only detected on LC-QTOF.

CONCLUSIONS

The major metabolic changes were found to be N-dealkylation, demethylation, hydroxylation, and hydrolysis. Metabolites M3 and M4 were found to have the potential for carcinogenicity. The novelty of the study can be justified by the unavailability of any previous research on in vitro metabolite profiling of BARI. Furthermore, this is the first time the biotransformation pathway of BARI and the toxicity potential of its metabolites have been reported.

Cutting-edge strategies and critical advancements in characterization and quantification of metabolites concerning translational metabolomics

Despite remarkable progress in drug discovery strategies, significant challenges are still remaining in translating new insights into clinical applications. Scientists are devising creative approaches to bridge the gap between scientific and translational research. Metabolomics is a unique field among other omics techniques for identifying novel metabolites and biomarkers. Fortunately, characterization and quantification of metabolites are becoming faster due to the progress in the field of orthogonal analytical techniques. This review detailed the advancement in the progress of sample preparation, and data processing techniques including data mining tools, database, and their quality control (QC). Advances in data processing tools make it easier to acquire unbiased data that includes a diverse set of metabolites. In addition, novel breakthroughs including, miniaturization as well as their integration with other devices, metabolite array technology, and crystalline sponge-based method have led to faster, more efficient, cost-effective, and holistic metabolomic analysis. The use of cutting-edge techniques to identify the human metabolite, including biomarkers has proven to be advantageous in terms of early disease identification, tracking the progression of illness, and possibility of personalized treatments. This review addressed the constraints of current metabolomics research, which are impeding the facilitation of translation of research from bench to bedside. Nevertheless, the possible way out from such constraints and future direction of translational metabolomics has been conferred.

LC/Q-TOF MS and LC/QQQ MS based bioanalysis of a new ferrocene derivative as a potential anticancer lead with promising drug-like characteristics

Pyrazolopyrimidine ring present in various approved drugs is reported to target the tyrosine kinase receptor. A new pyrazolopyrimidine ferrocene derivative, which targets tumor pyruvate kinase M2 showed an impressive antiproliferative profile against human oral squamous cell carcinoma cell line CAL27 assessed using Alamar blue assay. In line with the lead optimization process, the molecule was studied for physicochemical properties where a bioanalytical method has been developed in plasma on liquid chromatography-mass spectrometry and validated following the USFDA bioanalytical method validation guideline. Plasma stability and plasma protein binding potential of the molecule have been evaluated. All the major metabolites of the compound have been identified through in vitro metabolite study employing rat liver microsome, human liver microsome, and human S9 fractions. The in silico toxicity profile of the metabolites was assessed using ProTox II software. Log P, Log D, and pKa of the molecule were found to be 4.5, 5, and 12, respectively. The molecule was found to be quite stable in plasma and have a moderate affinity towards plasma proteins (about 75 % binding). Four major metabolites have been identified and characterized by UHPLCQ-TOF-MS. The metabolites were found to have a moderate safety profile. The validated bioanalytical method and the metabolic pathway will be useful for future clinical studies and to assess the safety profile of the molecule. The finding of this study may also be useful in analyzing the desired drug-like properties through bioanalysis while designing new chemical entities based on metallocenes.

UHPLC-Q-TOF-MS/MS based metabolite profiling of duvelisib and establishment of its metabolism mechanisms

Duvelisib is a dual inhibitor of phosphoinositide 3 kinase that received global approval by USFDA in 2018 to treat follicular lymphoma after at least two prior systemic therapies. An extensive literature search revealed that till date, metabolites of duvelisib are not characterized and information on the same is not available in any literature. Moreover, its metabolism pathway is yet to be established. This study aimed to investigate and characterize the metabolites of duvelisib generated in microsomes and S9 fractions. In this study, five duvelisib metabolites have been identified using UHPLC-Q-TOF-MS/MS technique of analysis. The structural characterisation of the metabolites was performed by comparing the fragmentation pattern of duvelisib and its metabolites through an accurate mass measurement technique. Three metabolites were found to be generated through phase I hydroxylation and dechlorination reaction. The other two metabolites were generated through a phase II glucuronidation reaction. The metabolism mechanism established through this study can be useful to improve the safety profile of the drug of its similar category in the future after establishment their toxicity profile of the identified metabolites.

A systematic UHPLC-Q-TOF-MS/MS based analytical approach for characterization of flibanserin metabolites and establishment of biotransformation pathway

A systematic metabolite profiling approach has paramount importance in detecting, identifying, and characterizing drug metabolites. Till date, there is no report published on the comprehensive metabolic fate of flibanserin (FLB). In this study, the structure of entire potential metabolites of FLB has been elucidated by execution of in silico tool and high resolution mass spectrometry based metabolite profiling strategy employing data-dependent and data-independent approaches. In vitro metabolism profile was investigated after incubating FLB with liver microsomes (rat and human) and S9 fractions in presence of their respective co-factors. In vivo metabolites were identified from rat plasma, urine, feces, and brain tissue samples. An efficient extraction technique was developed that made it possible to identify the metabolites generated even in extremely low concentrations. Extraction was carried out by precipitating protein and thereafter solid-phase extraction to enrich their concentration in the sample before analysis. Fourteen new metabolites have been identified and characterized. Most of the metabolites of FLB were generated due to hydrolysis and oxidation followed by glucuronide, sulfate, and methyl conjugation. Additionally, a spiking study was employed to confirm the presence of N-oxide metabolite in human liver S9 fraction and rat urine samples. Moreover, we have established the probable biotransformation pathway of FLB and successfully analyzed the toxicity potential of the metabolites using Pro Tox-II software.