Determination of Pralsetinib in Human Plasma and Cerebrospinal Fluid for Therapeutic Drug Monitoring by Ultra-performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS).

BACKGROUND: Ultra-performance Liquid Chromatography-tandem Mass Spectrometry (UPLC-MS/MS) is widely used for concentration detection of many Tyrosine Kinase Inhibitors (TKIs), including afatinib, crizotinib, and osimertinib. In order to analyze whether pralsetinib takes effect in Rearranged during Transfection (RET)-positive patients with central nervous system metastasis, we aimed to develop a method for the detection of pralsetinib concentrations in human plasma and Cerebrospinal Fluid (CSF) by UPLC-MS/MS. METHODS: The method was developed using the external standard method, and method validation included precision, accuracy, stability, extraction recovery, and matrix effect. Working solutions were all obtained based on stock solutions of pralsetinib of 1mg/mL. The plasma/CSF samples were precipitated by acetonitrile for protein precipitation and then separated on an ACQUITY UPLC HSS T3 column (2.1×100 mm, 1.8 µm) with a gradient elution using 0.1% formic acid (solution A) and acetonitrile (solution B) as mobile phases at a flow rate of 0.4 mL/min. The tandem mass spectrometry was performed by a triple quadrupole linear ion trap mass spectrometry system (QTRAPTM 6500+) with an electrospray ion (ESI) source and Analyst 1.7.2 data acquisition system. Data were collected in Multiple Reaction Monitoring (MRM) and positive ionization mode. RESULTS: A good linear relationship of pralsetinib in both plasma and CSF was successfully established, and the calibration ranges were found to be 1.0-64.0 µg/mL and 50.0ng/mL-12.8 µg/mL for pralsetinib in the plasma and CSF, respectively. Validation was performed, including calibration assessment, selectivity, precision, accuracy, matrix effect, extraction recovery, and stability, and all results have been found to be acceptable. The method has been successfully applied to pralsetinib concentration detection in a clinical sample, and the concentrations have been found to be 475ng/mL and 61.55 µg/mL in the CSF and plasma, respectively. CONCLUSION: We have developed a quick and effective method for concentration detection in both plasma and CSF, and it can be applied for drug monitoring in clinical practice. The method can also provide a reference for further optimization.

Age-, sex- and proximal-distal-resolved multi-omics identifies regulators of intestinal aging in non-human primates.

The incidence of intestinal diseases increases with age, yet the mechanisms governing gut aging and its link to diseases, such as colorectal cancer (CRC), remain elusive. In this study, while considering age, sex and proximal-distal variations, we used a multi-omics approach in non-human primates (Macaca fascicularis) to shed light on the heterogeneity of intestinal aging and identify potential regulators of gut aging. We explored the roles of several regulators, including those from tryptophan metabolism, in intestinal function and lifespan in Caenorhabditis elegans. Suggesting conservation of region specificity, tryptophan metabolism via the kynurenine and serotonin (5-HT) pathways varied between the proximal and distal colon, and, using a mouse colitis model, we observed that distal colitis was more sensitive to 5-HT treatment. Additionally, using proteomics analysis of human CRC samples, we identified links between gut aging and CRC, with high HPX levels predicting poor prognosis in older patients with CRC. Together, this work provides potential targets for preventing gut aging and associated diseases.

Multi-MSIProcessor: Data Visualizing and Analysis Software for Spatial Metabolomics Research.

Mass spectrometry imaging (MSI) has emerged as a revolutionary analytical strategy in biomedical research for molecular visualization. By linking the characterization of functional metabolites with tissue architecture, it is now possible to reveal unknown biological functions of tissues. However, due to the complexity and high dimensionality of MSI data, mining bioinformatics-related peaks from batch MSI data sets and achieving complete spatially resolved metabolomics analysis remain a great challenge. Here, we propose novel MSI data processing software, Multi-MSIProcessor (MMP), which integrates the data read-in, MSI visualization, processed data preservation, and biomarker discovery functions. The MMP focuses on the AFADESI-MSI data platform but also supports mzXML and imzmL data input formats for compatibility with data generated by other MSI platforms such as MALDI/SIMS-MSI. MMP enables deep mining of batch MSI data and has flexible adaptability with the source code opened that welcomes new functions and personalized analysis strategies. Using multiple clinical biosamples with complex heterogeneity, we demonstrated that MMP can rapidly establish complete MSI analysis workflows, assess batch sample data quality, screen and annotate differential MS peaks, and obtain abnormal metabolic pathways. MMP provides a novel platform for spatial metabolomics analysis of multiple samples that could meet the diverse analysis requirements of scholars.

Time-Course Lipidomics of Ornithine-Induced Severe Acute Pancreatitis Model Reveals the Free Fatty Acids Centered Lipids Dysregulation Characteristics.

The relationship between the type and intensities of lipids of blood and pancreas and the pathological changes in the pancreas during severe acute pancreatitis (SAP) remains unclear. In our study, we employed a rat model of SAP induced through intraperitoneal ornithine injections. We collected serum and pancreas samples at various time points (0-144 h) for histopathological and biochemical assessments, followed by lipidomic analyses using LC-MS/MS or in situ mass spectrometry imaging (MSI) To discern changes over time or at specific points, we employed time-course and univariate analyses for lipid screening, respectively. Our findings indicated that the peak inflammation in the Orn-SAP model occurred within the 24-30 h timeframe, with evident necrosis emerging from 24 h onwards, followed by regeneration starting at 48 h. Time-course analysis revealed an overall decrease in glycerophospholipids (PEs, PCs, LPEs, LPCs), while CEs exhibited an increase within the pancreas. Univariate analysis unveiled a significant reduction in serum TAGs containing 46-51 carbon atoms at 24 h, and CERs in the pancreas significantly increased at 30 h, compared with 0 h. Moreover, a substantial rise in TAGs containing 56-58 carbon atoms was observed at 144 h, both in serum and pancreas. MSI demonstrated the CERs containing saturated mono-acyl chains of 16 and 18 carbon atoms influenced pancreatic regeneration. Tracing the origin of FFAs hydrolyzed from pancreatic glycerophospholipids and serum TAGs during the early stages of inflammation, as well as FFAs utilized for CEs and CERs synthesis during the repair phase, may yield valuable strategies for diagnosing and managing SAP.

Novel Isotope-Labeled Derivatization Strategy for the Simultaneous Analysis of Fatty Acids and Fatty Alcohols and Its Application in Idiopathic Inflammatory Myopathies and Pancreatic Cancer.

Fatty acids (FAs) and fatty alcohols (FOHs) are essential compounds for maintaining life. Due to the inherent poor ionization efficiency, low abundance, and complex matrix effect, such metabolites are challenging to precisely quantify and explore deeply. In this study, a pair of novel isotope derivatization reagents known as d0/d5-1-(2-oxo-2-(piperazin-1-yl) ethyl) pyridine-1-ium (d0/d5-OPEPI) were designed and synthesized, and an in-depth screening strategy for FAs and FOHs was established based on d0/d5-OPEPI coupled with liquid chromatography-tandem high-resolution mass spectrometry (LC-HRMS/MS). Using this approach, a total of 332 metabolites were identified and annotated (some of the FAs and FOHs were reconfirmed by standards). Our results demonstrated that OPEPI labeling could significantly enhance the MS response of FAs and FOHs via the introduction of permanently charged tags. The detection sensitivities of FAs were increased by 200-2345-fold compared with the nonderivatization method. At the same time, for FOHs, due to the absence of ionizable functional groups, sensitive detection was achieved utilizing OPEPI derivatization. One-to-one internal standards were provided by using d5-OPEPI labeling to minimize the errors in quantitation. Moreover, the method validation results showed that the method was stable and reliable. Finally, the established method was successfully applied to the study of the FA and FOH profiles of two heterogeneous severe clinical disease tissues. This study would improve our understanding of the pathological and metabolic mechanisms of FAs and FOHs for inflammatory myopathies and pancreatic cancer and also prove the generality and accuracy of the developed analytical method for complex samples.

Temporal Proteomic and Lipidomic Profiles of Cerulein-Induced Acute Pancreatitis Reveal Novel Insights for Metabolic Alterations in the Disease Pathogenesis.

The pathophysiological mechanisms of acute pancreatitis (AP) are complex and have remained a mystery to date, but metabolism is gradually recognized as an important driver of AP onset and development. We used a cerulein-induced AP mouse model to conduct liquid chromatography-mass spectrometry (LC-MS/MS)-based time-course proteomics and lipidomics in order to better understand the underlying metabolic alterations linked with AP. Results showed that a series of significant changes in proteins over time with a boost in expression were enriched in lipase activity, lipoprotein, and lipids absorption and transport regulation. Furthermore, 16 proteins associated with lipid metabolism and signaling pathways together with the whole lipid species changing profile led to the vital identification of changing law in glycerides, phosphoglycerides, and free fatty acids. In addition to lipid metabolism and regulation-associated proteins, several digestive enzymes and adaptive anti-trypsin, stress response, and energy metabolism-related proteins showed an increment in abundance. Notably, central carbon and branched chain amino acid metabolism were enhanced during 0-24 h from the first cerulein stimulation. Taken together, this integrated proteomics and lipidomics revealed a novel metabolic insight into metabolites transforming rules that might be relevant to their function and drug targets investigation. (Created with Biorender.com.).

UPLC-MS/MS method development and application to pharmacokinetic study in rats and dogs of Flonoltinib Maleat.

Flonoltinib Maleate (FM) is a novel selective inhibitor of Janus kinase 2/FMS-like tyrosine kinase 3 (JAK2/FLT3). In this study, we developed an ultra-high-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method to measure the plasma concentrations of FM in rats and dogs for pharmacokinetic studies. For chromatographic separation, we used a BEH C18 column (2.1 × 50 mm, 1.7 µm particle size) in HPLC. The mobile phase A consisted of a water solution containing 0.1% formic acid (FA) and 2 mM NH4OAc, mixed with acetonitrile (ACN) (V:V = 95:5). The mobile phase B was a water solution containing 0.1% FA and 2 mM NH4OAc, mixed with ACN (V:V = 5:95), which was used for gradient elution. We used multiple reactive ion detection (MRM) mode and electrospray ionization positive (ESI+) mode for quantitative analysis. The standard curve was linear in the concentration range of 0.5 to 500 ng/ml in rat and dog plasma. The intra-batch and inter-batch precision (RSD%) of FM in rat and dog plasma was less than 15%. The intra-batch and inter-batch accuracy was 88.3-106.5% and 92.0-100.6% in rats, and 94.7-106.6% and 95.3-103.8% in dogs, respectively. The RSD (%) of matrix factors (MF) normalized to the internal standard (IS) of FM in rat and dog plasma was ≤5.6% and ≤3.0%, respectively. The extraction recovery and carryover were considered acceptable. When the sample concentration was higher than the upper limit of quantitation (ULOQ), the 10-fold dilution was reliable within the limits of acceptability. The UPLC-MS/MS method developed in this study was successfully applied in measuring the pharmacokinetic parameters of FM in rats and dogs after intravenous and oral administration, laying a foundation for the preclinical pharmacokinetic study of FM and providing a reference for clinical pharmacokinetic studies.

Comparative metabolism of THCA and THCV using UHPLC-Q-Exactive Orbitrap-MS.

Delta(9)-tetrahydrocannabinolic acid (THCA) and delta(9)-tetrahydrocannabivarin (THCV) are phytocannabinoids with a similar structure derived from Cannabis sativa and possess a variety of biological activities. However, the relationship between the metabolic characterisation and bioactivity of THCA and THCV remains elusive.To explore the relationship between the metabolism of THCA and THCV and their underlying mechanism of activity, human/mouse liver microsomes and mouse primary hepatocytes were used to compare the metabolic maps between THCA and THCV through comparative metabolomics. A total of 29 metabolites were identified containing 7 previously undescribed THCA metabolites and 10 previously undescribed THCV metabolites. Of these metabolites, THCA was transformed into an active metabolite of delta(9)-tetrahydrocannabinol (THC) in these three systems, while THCV was transformed into THC and CBD.Bioactivity assays indicated that all of these phytocannabinoids exhibited anti-inflammatory activity, but the effects of THCA and THCV were slightly different in macrophages RAW264.7. Prediction of ADMET lab demonstrated that THCV and its metabolites were endowed with the advantage of blood-brain barrier (BBB) penetration compared to THCA.In conclusion, this study highlighted that metabolism plays a critical role in the biological activity of phytocannabinoids.

Comparative Metabolomic Profiling of the Metabolic Differences of Δ9-Tetrahydrocannabinol and Cannabidiol.

More than one hundred cannabinoids have been found in cannabis. Δ9-Tetrahydrocannabinol (THC) is the recognized addictive constituent in cannabis; however, the mechanisms underlying THC-induced toxicity remain elusive. To better understand cannabis-induced toxicity, the present study compared the metabolic pathways of THC and its isomer cannabidiol (CBD) in human and mouse liver microsomes using the metabolomic approach. Thirty-two metabolites of THC were identified, including nine undescribed metabolites. Of note, two glutathione (GSH) and two cysteine (Cys) adducts were found in THC's metabolism. Molecular docking revealed that THC conjugates have a higher affinity with GSH and Cys than with the parent compound, THC. Human recombinant cytochrome P450 enzymes, and their corresponding chemical inhibitors, demonstrated that CYP3A4 and CYP1B1 were the primary enzymes responsible for the formation of THC-GSH and THC-Cys, thus enabling conjugation to occur. Collectively, this study systematically compared the metabolism of THC with the metabolism of CBD using the metabolomic approach, which thus highlights the critical role of metabolomics in identifying novel drug metabolites. Moreover, this study also facilitates mechanistic speculation in order to expand the knowledge of drug metabolism and safety.

Comprehensive quantitative method for neurotransmitters to study the activity of a sedative-hypnotic candidate using microdialysis and LC×LC-MS/MS.

Neurotransmitters (NTs) and their metabolites play crucial roles in the regulation of the sleep-wake cycle. Thus, a comprehensive quantitative analysis of NTs would be useful in elucidating the potential mechanisms involved in sedative-hypnotic activities. In this study, we developed a high-throughput quantitative method based on a two-dimensional chromatography-mass spectrometry technique to simultaneously analyze 63 NTs and their metabolites in rat plasma, brain homogenate, and microdialysis samples from five different sleep-associated regions of the brain. Moreover, this method was used to study the neurochemical mechanism of an adenosine analog sedative-hypnotic candidate YZG-331. Most of the correlations between NTs were lost after the administration of the sedative, particularly in the caudate putamen (CPu) and dorsal raphe nucleus (DRN), indicating that the sleep-wake balance was affected. Administration of the adenosine analog YZG-331 could act similar as accumulation of adenosine, inducing adenosine and its metabolite adenine were decreased significantly in the CPu, accompanying with GABA, aspartate, and glutamate changed slightly by the communications between different neurons to further promote sleep. In addition, YZG-331 affected the metabolism of tryptophan and serotonin (5-HT) in the DRN and orbital frontal cortex (OFC). Melatonin and 5-hydroxyindole-3-acetic acid (a metabolite of 5-HT) were significantly increased in the OFC, and the levels of glutamate/glutamine, asparagine, and adrenaline were altered. Sleep homeostasis is a balance between the duration of sleep and wakefulness and is coordinated by all NTs. The high-throughput quantitative method introduced in this study may aid in revealing the temporal cohesion among NTs, evaluating sleep homeostasis, and determining the effects of sedative-hypnotic drugs.

Temporal metabolic trajectory analyzed by LC-MS/MS based targeted metabolomics in acute pancreatitis pathogenesis and Chaiqin Chengqi decoction therapy.

BACKGROUND: Acute pancreatitis (AP) is an inflammatory disorder of pancreas that lacks effective specific drugs as well as gold standard laboratory tests for diagnosis and severity assessment. Chaiqin chengqi decoction (CQCQD) has been proven to alleviate the severity and mortality of AP, but its underlying mechanisms remain incompletely understood. PURPOSE: To investigate the correlation between metabolic trajectories of the serum and pancreas, the metabolic pathways with respect to the onset and progression of AP, and investigate the effect of CQCQD in modulating the dysregulated pancreatic metabolism of AP. METHODS: Serum and pancreas samples from cerulein-induced AP mice were collected for pathology, biochemical index assessment, LC-MS/MS based metabolomics and functional validation over the course of 1 - 24 h. The temporal trends of pancreatic and serum metabolites in AP were analyzed using Mfuzz clustering algorithm, and their associations were revealed by Pearson correlation analysis. The metabolic trajectories and pathways across multi-timepoints were analyzed by univariate and multivariate statistical analyses, and the AP-related metabolic pathways were further screened by metabolite correlation and network interaction analyses. Finally, the changes in metabolite levels and metabolic trajectory after CQCQD therapy were identified, and the altered expression of related metabolic enzymes was verified by RT-qPCR, western blotting, and immunohistochemistry. RESULTS: Amino acid metabolism was significantly altered in the pancreas and serum of AP, but with different trends. The unsynchronized "open" and "closed" metabolic trajectories in pancreas and serumrevealed that metabolic processes occur earlier in peripheral rather than local tissue, with the most obvious changes occuring at 12 h in the pancreas which were also consistent with the inflammation score results. Several amino acid intermediates showed strong positive correlation between serum and pancreas, and therein serum cystathionine was positively correlated to 33 pancreatic metabolites. In particular, the correlations between the levels of pancreatic cystathionine and methionine, serine, and glutathione (GSH) emphasized the importance of trans-sulfuration to GSH metabolism for AP progression. CQCQD treatment reversed the metabolic trajectory of the pancreas, and also restored the levels of cystathionine and glutathione synthase. CONCLUSION: Our results have defined a unique time-course metabolic trajectory for AP progression in both the serum and pancreas; it has also revealed a key role of CQCQD in reversing AP-associated metabolic alterations, thus providing new metabolic targets for the treatment and prognosis of AP.