Journal of Chromatography B最新文献

A capillary high-performance liquid chromatography (HPLC) system equipped with a dual-electrode detector utilizing track-etched membrane electrodes (TEMEs) was combined with a microdialysis sampling setup. The electrochemical detector benefits from the high electrolysis efficiency of TEMEs, allowing for calibration-free coulometric detection and simplifying data analysis to determine the dopamine recovery through a dialysis probe. Additionally, this system was used for in vivo monitoring of dopamine in the right striatum of a mouse brain. Temporal changes in dopamine levels, including an exponential decay immediately after the dialysis probe insertion and an excess release of dopamine induced by a high concentration of potassium ions, confirmed the system’s proper operation. Furthermore, subsequent measurements following the intraperitoneal injection of mirtazapine showed no increase in dopamine levels in the right dorsal striatum. The dual-electrode system displayed characteristic dopamine detection behavior, with anodic and cathodic peak pairs indicative of reversible electrochemical reactions. This capability facilitated the identification of the dopamine peak within the complex chromatogram of the mouse brain dialysate. The consistency between dopamine collection efficiency from standard solutions and dialysate indicated the absence of interfering electroactive substances overlapping with the dopamine peak in the chromatogram. This integrated analysis system successfully tracked temporal fluctuations in dopamine concentration within the mouse brain.

Background

Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovitis, which can lead to joint deformity. Acupuncture treatment stimulates specific acupoints to adjust qi and blood function, relieving joint inflammation and pain.

Methods

Ultra-high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) was utilized for non-targeted metabolomics analysis of plasma samples from the blank group, Adjuvant-Induced Arthritis (AIA) model mice model mice group, and acupuncture group. Metabolite hierarchical clustering analysis, multivariate statistical analysis, standardized processing, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and other methods were employed to identify targeted metabolites affected by acupuncture treatment in AIA mice. The related metabolic pathways were analyzed using KEGG pathway.

Results

Histopathological results demonstrated that acupuncture at Zusanli point (ST 36) significantly improved the inflammatory response in AIA mice. The PCA score plot indicated relatively close sample clustering within each group with significant differences observed between the four groups, confirming successful establishment of the AIA animal model with metabolic disorders occurring. Acupuncture treatment effectively corrected these metabolic disorders. Plasma metabolomics identified a total of 10 differential metabolites primarily associated with arachidonic acid and pentose phosphate metabolic pathways.

Conclusions

Acupuncture at ST36 can significantly improve the inflammatory response in AIA mice through modulation of arachidonic acid and pentose phosphate metabolic pathways.

Upadacitinib is an oral Janus Kinase inhibitor used for the treatment of rheumatoid arthritis. This research focuses on the forced degradation study of upadacitinib and the characterization of its degradation impurities. Upadacitinib was subjected to various degradation conditions such as hydrolysis (acid, base, neutral), oxidation, thermal, and photolysis according to International Council for Harmonisation guidelines. Twelve degradation impurities of upadacitinib were observed under oxidation (H₂O₂, AIBN, Fenton’s reagent) and photolysis (UV light). Zeneth software was used to predict the in silico degradation profile. High-performance liquid chromatography was used to separate the observed degradation impurities with ammonium formate (pH 3.63) and acetonitrile as mobile phases on an Agilent Zorbax Eclipse plus C18 column (4.6 × 250 mm, 5 µm). The separated degradation impurities were characterized by using high resolution mass spectrometry. The accurate masses obtained from LC-HRMS/MS were used to determine the structures of all the degradation impurities. A suitable mechanism for the formation of degradation impurities was proposed. DEREK Nexus and SARAH Nexus were used for the in silico toxicity and mutagenicity assessments.

Cannabis terpenes and terpenoids are among the major classes of pharmacologically active secondary metabolites of therapeutic interest. Indeed, these hydrocarbon molecules, responsible for the characteristic aroma of cannabis flowers, are thought to be involved in a synergistic effect known as the “entourage effect”, together with cannabinoids. Numerous analytical studies have been carried out to characterize the terpene and terpenoid contents of some cannabis varieties, but they have not proposed any real quantification or have described a limited number of analytical standards or average response factors, which may have led to over- or underestimation of the real content of the cannabis flowers. Real and reliable quantification is necessary to justify the entourage effect. Here, we report a rigorous and precise GC–FID and GC–MS method for the identification and quantification of cannabis terpenes and terpenoids. This method is distinguished by the use of a high number of analytical standards, the determination of retention indices for all compounds studied, an exhaustive comparison of databases and scientific literature, the use of relevant response factors, and internal calibration for reliable results. It was applied to the study of terpenic compounds in five commercial varieties of medicinal cannabis produced by Bedrocan International: a CBD-rich (Bedrolite®), a THC/CBD balanced (Bediol®), and three THC-dominant (Bedrocan®, Bedica® and Bedrobinol®). Two extraction solvents are described (ethanol and hexane) to compare their selectivity towards target molecules, and to describe as exhaustively as possible the terpenic profile of the five pharmaceutical-grade varieties. Twenty-three standards were used for accurate dosages. This work highlights that the choice of solvent and the analysis method reliability are critical for the study of these terpenic compounds, regarding their contribution to the entourage effect.

Lipid nanoparticles (LNPs) are emerging nucleic acid delivery systems in the development of mRNA therapeutics such as the severe acute respiratory syndrome coronavirus 2 vaccines. However, a suitable analytical method for evaluating the encapsulation efficiency (EE) of the LNPs is required to ensure drug efficacy, as current analytical methods exhibit throughput issues and require long analysis times. Hence, we developed and validated an anion-exchange HPLC method using Analytical Quality by Design. Three critical method parameters (CMPs) were identified using risk assessment and Design of Experiments: column temperature, flow rate, and sodium perchlorate concentration. The CMPs were optimized using Face-Centered Central Composite Design. The discriminating power of the optimized HPLC method and RiboGreen assay was comparable. The main advantage of this method is that LNPs can be directly injected into the HPLC system without bursting the LNPs loaded with encapsulated poly(A). The optimized HPLC method was validated as robust, high-throughput, and sufficiently sensitive according to the ICH Q2 guidelines. We believe our findings could promote efficient LNPs-based drug development.

Detection of β-2 transferrin in body fluid could help identify cerebrospinal fluid (CSF) leakage. The most common method, isoelectric focusing, was qualitative and could not provide detailed N-glycan structural information. We presented an alternative method using top-down liquid chromatography-time of flight mass spectrometry (LC-TOF MS). After immunoaffinity enrichment, fluid transferrin glycoforms were analyzed by a high-resolution LC-TOF MS, and the N-glycan structure predicted by accurate mass. The performance was validated with imprecision at 15%, with a cut-off of 0.04 for β-2 transferrin to tetrasialotransferrin ratio to confirm the presence of CSF in fluid samples.

A selective and sensitive liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) method was developed and validated for simultaneous quantitation of a cassette of 8 drugs, including docetaxel, erlotinib, loperamide, riluzole, vemurafenib, verapamil, elacridar and tariquidar. Stable isotopically labeled compounds were available for use as internal standards for all compounds, except for tariquidar for which we used elacridar-d4. Sample pre-treatment involved liquid–liquid extraction using tert-butyl-methyl ether as this resulted in good recovery and low ion suppression. Chromatographic separation was achieved using a Zorbax Extend C18 analytical column and a linear gradient from 20 % to 95 % methanol in 0.1 % (v/v) formic acid in water. MS/MS detection using multiple reaction monitoring was done in positive ionization mode. We validated this assay for human and mouse plasma and mouse brain homogenates. The calibration curves were linear over a range 1–200 nM for each drug in the mix, except for tariquidar probably due to the lack of a stable isotope labeled analog. The intra-day and inter-day accuracies were within the 85–115 % range for all compounds at low, medium and high concentrations in the three different matrices. Similarly, the precision for all compounds at three different concentration levels ranged below 15 %, with the exception of tariquidar in mouse plasma and brain homogenate and riluzole in brain homogenate. Pilot studies have confirmed that the method is suitable for the analysis of mouse plasma samples and brain homogenates following cassette dosing of this mixture in mice.

Xiaoyan Tuire Granule is a type of Chinese patent medicine that has been proven effective in treating respiratory tract infections. However, while it has been successfully introduced into clinical use, more knowledge is still needed regarding its chemical components and pharmacokinetics. This study investigated the chemical profile in the medicine and rat plasma by ultra high-performance liquid chromatography coupled with Q Exactive hybrid quadrupole-orbitrap high-resolution accurate mass spectrometry (UHPLC-Orbitrap-MS/MS). Subsequently, it developed a validated ultra high-performance liquid chromatography coupled with quadrupole mass spectrometry (UHPLC-MS/MS) method for determining five components in rat plasma after oral administration of Xiaoyan Tuire Granule. As a result, a total of 106 constituents were inferred, including 9 terpenoids, 29 flavonoids, 33 organic acids, 12 phenylpropanoids and 23 other compounds. After administration, 86 compounds were inferred in rat plasma, including 73 prototypes and 13 metabolites. The metabolic pathways were primarily hydrogenation, glucuronic acid conjugation, sulfate conjugation, hydrolysis and methylation. The established method determined the contents of esculetin, esculin, isovitexin, caffeic acid and p-coumaric acid had a good separation, and all the legal verification met the requirements. The pharmacokinetic results indicate that the absorption rate of the five compounds in vivo was rapid, with a T_max of less than 0.25 h, and the elimination rate was also fast, with a half-time (T_1/2) ranging from 1.22 h to 2.19 h. It is worth noting that esculin and esculetin have similar half-time in vivo due to their structural similarities. Among these five compounds, the AUC_0-∞ and MRT_0-∞ of p-coumaric acid and esculetin were relatively higher, indicating higher exposure and longer residence time of both compounds in vivo. In conclusion, this paper researched the chemical constituents and pharmacokinetics of Xiaoyan Tuire Granule, which provided the reference for further study.

Mycobacteria possess unique and robust lipid profile responsible for their pathogenesis and drug resistance. Mycolic acid (MA) represents an attractive diagnostic biomarker being absent in humans, inert and known to modulate host-pathogen interaction. Accurate measurement of MA is significant to design efficient therapeutics. Despite considerable advances in Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) based approaches, quantification of mycobacterial lipids including MA is still challenging mainly because of ion suppression effects due to complex matrix and non-availability of suitable internal standards for MA. The current study demonstrates the use of standard addition method (SAM) to circumvent this problem and provides a reliable and exhaustive analytical method to quantify mycobacterial MA based on reversed-phase ultra-high-performance liquid chromatography- mass spectrometry data acquisition. In this method, multiple reaction monitoring (MRM) has been applied, wherein 16 MRM channels or transitions have been chosen for quantification of alpha-, methoxy- and keto-MAs with C-24 and C-26 hydrocarbon chains that are actually best suited for TB diagnostics. We found that the overall methodological limit of detection and limit of quantification were in the range 0.05–0.71 ng/µl and 0.16–2.16 ng/µl. Taken together, SAM quantitative technique could serve as promising alternative for relative concentration determination of MA to aid medical research.