Performance Liquid Chromatography-tandem Mass Spectrometry Research Articles

Advancing Targeted Metabolomics Using Cyanopropyl-Based Liquid Chromatography Tandem Mass Spectrometry.

The change of metabolic pathways is recognized as the key to disease discovery prompting the development of ultra high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS)-based quantitative platforms to explore the dynamic metabolite profiles of organisms. In this study, a liquid chromatography method based on cyanopropyl (CN) was developed. By adjusting the pH environment of the column, we achieved the elution of 51 metabolites spanning the most comprehensive set of biological pathways currently known. Offering rapid chromatography, efficient separation, and green chemistry benefits, the method encompasses nucleosides and nucleotides, the oxidative-redox metabolome, the glycolysis pathway, the pentose phosphate pathway, the purine de novo pathway, amino acids, and neurological disorder-related metabolites. The mass spectrometry was equipped with electrospray ionization in both positive and negative modes with scheduled multiple reactions monitoring. The validation of the method involved a comprehensive assessment of linearity, accuracy, precision, and matrix effect. The linear range was from 1.0 to 2000 ng mL-1 with a high correlation coefficient (r > 0.99). The LOD ranged from 0.1 to 10 ng mL-1, and the LOQ ranged from 0.1 to 25 ng mL-1. The overall recovery ranged from 81.3% to 117.8%, with RSD < 15.1%. Subsequently, an analysis of metabolites was conducted in dSH-SY5Y neuroblastoma cells with 6-hydroxydopamine, a commonly used neurotoxin in neurodegenerative diseases. The results demonstrate that neurotoxin-induced mitochondrial damage significantly altered related analytes, corroborating previous estimates and validating the feasibility and reliability of the bioanalytical platform.

P63 affects distinct metabolic pathways during keratinocyte senescence, evaluated by metabolomic profile and gene expression analysis.

Unraveling the molecular nature of skin aging and keratinocyte senescence represents a challenging research project in epithelial biology. In this regard, depletion of p63, a p53 family transcription factor prominently expressed in human and mouse epidermis, accelerates both aging and the onset of senescence markers in vivo animal models as well as in ex vivo keratinocytes. Nonetheless, the biochemical link between p63 action and senescence phenotype remains largely unexplored. In the present study, through ultrahigh performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) and gas chromatography/mass spectrometry (GC/MS) metabolomic analysis, we uncover interesting pathways linking replicative senescence to metabolic alterations during p63 silencing in human keratinocytes. Integration of our metabolomic profiling data with targeted transcriptomic investigation empowered us to demonstrate that absence of p63 and senescence share similar modulation profiles of oxidative stress markers, pentose phosphate pathway metabolites and lyso-glycerophospholipids, the latter due to enhanced phospholipases gene expression profile often under p63 direct/indirect gene control. Additional biochemical features identified in deranged keratinocytes include a relevant increase in lipids production, glucose and pyruvate levels as confirmed by upregulation of gene expression of key lipid synthesis and glycolytic enzymes, which, together with improved vitamins uptake, characterize senescence phenotype. Silencing of p63 in keratinocytes instead, translates into a blunted flux of metabolites through both glycolysis and the Krebs cycle, likely due to a p63-dependent reduction of hexokinase 2 and citrate synthase gene expression. Our findings highlight the potential role of p63 in counteracting keratinocyte senescence also through fine regulation of metabolite levels and relevant biochemical pathways. We believe that our research might contribute significantly to the discovery of new implications of p63 in keratinocyte senescence and related diseases.

Evaluation of protein impurities in Ademetionine 1,4-Butanedisulfonate

Ademetionine 1,4-Butanedisulfonate (SAMe) is widely used as a prescription drug to treat cholestasis associated with liver disease, and is also used to treat depression, Alzheimer's disease and other diseases. Currently, the main way to produce SAMe is by fermentation of S-adenosylmethionine synthetase（SAMS）. However, during the fermentation process, host cells produce contaminants unrelated to the treatment. Among them, host cell protein (HCP), which is co-purified with the drug, is the main impurity in the production process. HCP-induced antigenic reactions can lead to allergies or other adverse reactions and affect drug quality, efficacy, and safety. Enzyme-linked immunosorbent assay (ELISA) and mass spectrometry (MS) are currently used as the main analytical methods for measuring HCP. The ELISA method may ignore some HCPs with low immunogenicity, while mass spectrometry is primarily employed for the characterization of proteomes. Orthogonal methods can more effectively evaluate impurities in drugs. In this study, ELISA was initially utilized to quantify the content of Saccharomyces cerevisiae host protein in 11 batches of SAMe active pharmaceutical ingredient (API) from two suppliers, then the above APIs were qualitatively analyzed by MS method. Following the identification of surrogate peptide of SAMS, an Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry（UPLC-MS/MS）method was established and validated, the SAMS protein residues in 11 batches of samples were subsequently determined. The results demonstrated that the levels of Saccharomyces cerevisiae host protein and SAMS in the samples were both low, with values below 20 ppm and 1.19 ppm, respectively. The qualitative results also indicate that the types of peptide residues in the samples are more diverse than those of protein residues. Furthermore, residues of proteins and peptides can be detected in all samples, which underscores the importance of evaluating the HCP in API. This study employs a range of complementary detection methods to conduct a comprehensive and sensitive evaluation of total HCP and specific proteins in drugs, thereby guiding more informed assessments of the risks posed by HCP impurities in raw materials during pharmaceutical processes.

Determination of three methylimidazole compounds in cosmetics by high performance liquid chromatography-tandem mass spectrometry

Methylimidazole compounds are byproducts formed during the caramel-coloring process and are used in various cosmetics. In addition metronidazole is an antibacterial and anti-inflammatory drug commonly used in modern medicine and is used in cosmetics to treat acne in the short-term. The illegal addition of metronidazole during cosmetics production can result in residual 2-methylimidazole (2-MEI), which, along with 4-methylimidazole (4-MEI), is a class 2B carcinogen. Therefore, establishing efficient, accurate, and sensitive analytical techniques for analyzing methylimidazole compounds in cosmetics is an urgent objective. In this study, a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for simultaneously determining 1-methylimidazole (1-MEI), 2-MEI, and 4-MEI in cosmetics was developed. Cosmetics samples were extracted via ultrasonication in acetonitrile and purified using a mixed cation-exchange (MCX) solid-phase extraction (SPE) column, with subsequent drying under a stream of nitrogen and redissolution in acetonitrile. The resulting solution was then filtered through a 0.22 μm organic filter membrane for further testing. The analytes were separated using an XBridge® shield RP18 chromatographic column (150 mm×4.6 mm, 3.5 μm) and isocratically eluted with 20 mmol/L ammonium formate solution (containing 0.1% formic acid)-acetonitrile (98∶2, v/v). The target compounds were ionized by electrospray ionization (ESI) source, analyzed in multi-reaction monitoring (MRM) mode, and quantified using the external standard method, with the peak area of the quantitative ion and the mass concentration of the compound taken as the longitudinal and transverse coordinates, respectively. Matrix-matching working curves were also constructed. 1-MEI exhibited good linear relationships in the range of 5-200 μg/L, with correlation coefficients (r2)≥0.9994, while 2-MEI and 4-MEI showed good linearities in the range of 2-100 μg/L with r2≥0.9984. The three methylimidazole compounds exhibited limits of detection (LODs) and quantification (LOQs) of 10-30 μg/kg and 25-100 μg/kg, respectively. Under three spiked levels (LOQ, 2LOQ, 10LOQ), the recoveries of three methylimidazole compounds were 80.9%-107.9%, with relative standard deviations (RSDs, n=6) of 1.2%-12.8%. The practicability of the method was examined using 48 cosmetic samples; 4-MEI was detected in nine samples at contents of 26-1000 μg/kg, while two samples contained 240 and 267 μg/kg of 2-MEI, respectively. 1-MEI was not detected in any of the 48 samples tested. The developed method is simple, fast, and highly sensitive, and provides methodological support for assessing risks and monitoring the three methylimidazole compounds in cosmetics through screening.

Determination of 42 antimicrobials in disinfection products by dispersive solid phase extraction-high performance liquid chromatography-tandem mass spectrometry

Antimicrobials inhibit the growth and reproduction of microorganisms thereby alleviating skin and other problems caused by microorganisms. Antimicrobials are classified into different categories, including antibacterials, antifungals, and antivirals, among others, and include azoles, sulfonamides, tetracyclines, quinolones, and many other classes of synthetic and natural compound. The inappropriate or excessive use of antimicrobials can damage skin and other human organs and increase antimicrobial resistance. Relevant regulations and standards clearly state that antimicrobials are prohibited for use as ingredients in disinfection products. However, since antimicrobials enhance the disinfection or antibacterial effect of a product, with a significant short-term effect, antimicrobials are occasionally illegally added to disinfectant products, including those intended for human use. Therefore, establishing testing methods that provide technical support for enforcing regulations is an urgent objective. Herein, a method was established for the analysis of 42 antimicrobials in disinfection products, that is applicable to common types of disinfection-product matrix, including creams, gels, and aqueous solutions, using high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) combined with dispersive solid phase extraction. The 42 antimicrobials comprise antibacterials, antifungals, and antivirals, and include seven sulfonamides, ten quinolones, three lincosamides, five tetracyclines, three macrolides, eight azoles, three purine nucleoside analogs, one furan, one nonpolyene antifungal, and one steroid. Briefly, 0.2 g of a sample was first dispersed in 2 mL of water and then extracted with 10 mL of 0.5% formic acid in acetonitrile, with 3 g of anhydrous Na2SO4 added to remove water. After centrifugation, 5 mL of the supernatant was cleaned using dispersive solid phase extraction with EMR-Lipid as the adsorbent. Lipids, waxes, surfactants, and moisturizing lubricants are commonly used as cream and gel matrices. Matrix substances containing long carbon chains dissolved in acetonitrile were removed using the EMR-Lipid adsorbent. Target analytes were separated on a Poroshell 120 EC-C18 analytical chromatography column (150 mm×3.0 mm, 2.7 μm), with 0.1% formic acid in acetonitrile and 0.1% formic acid aqueous solution used as mobile phases under gradient-elution conditions. The target analytes in the test solution were detected in positive ionization (ESI+) and multi-reaction-monitoring (MRM) modes. Analytes were characterized in terms of their retention times and selected ions, and quantified using the external-standard method. The main factors affecting method response, recovery, and sensitivity, such as the extraction method and solvent, purification method and adsorbent, mobile phase, and MS conditions, were examined during sample pretreatment and instrumental analysis. The 42 antimicrobials were effectively separated under the optimized experimental conditions; the target compounds exhibited linear working curves in the 0.25-5.0 mg/kg concentration range, with correlation coefficients (r) greater than 0.99. Limits of detection (LODs) for the 42 antimicrobials were determined from the signal-to-noise ratios (S/N) of their chromatographic peaks. LODs of 0.03-0.10 mg/kg were determined for the three matrices using 0.2-g samples and 10-mL test solution. Recoveries of 80.3-109.8%, with relative standard deviations (RSDs) of less than 9.8%, were obtained by determining three levels of each target analyte added to the three blank matrices; this process was repeated for six parallel samples. The developed method was used to analyze antimicrobials in commercially available disinfection products, with two sample batches testing positive. The established method is simple, accurate, precise, and suitable for the rapid screening and quantification of antimicrobials in disinfection products. This study provides powerful technical support for regulating the illegal addition of related antimicrobials to disinfection products.

Simultaneous determination of 17 perfluoroalkyl substances in beef by EMR-Lipid dispersive solid-phase extraction and ultra performance liquid chromatography-tandem mass spectrometry

The ability to accurately analyze perfluoroalkyl substance (PFAS) levels in beef is imperative in order to effectively assess food-safety risks and ensure consumer safety because PFASs are harmful and prevalent in beef. In this study, we developed a rapid and accurate method for the simultaneously determination of the 17 PFASs in beef using dispersive solid-phase extraction (d-SPE) and ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), and optimized the mobile phase system, extraction solvent, and d-SPE materials. Samples were finally extracted using 0.1% (v/v) formic acid in acetonitrile, cleaned using d-SPE with PSA, C18, GCB, and EMR-Lipid, separated using an Acquity Premier BEH C18 column (100 mm×2.1 mm, 1.7 μm) with 0.5 mmol/L ammonium fluoride aqueous solution and methanol as the mobile phases at a flow rate of 0.3 mL/min. Analytes were detected in negative ion switching mode (ESI-) with multiple reaction monitoring (MRM) scanning, and quantitatively analyzed using the internal standard method. The 17 PFASs exhibited linearity in the 0.2-20.0 μg/L range under the optimal experimental conditions, with correlation coefficients of 0.9915-0.9999. The method delivered limits of detection (LODs) of 0.003-0.007 μg/kg and limits of quantification (LOQs) of 0.01-0.02 μg/kg. The 17 PFASs exhibited recoveries of 71.1%-127.4% with RSDs of 0.6%-14.4% when spiked at three levels (0.05, 0.5, and 1.8 μg/kg). We optimized the mobile phase system, which revealed that, compared with 2.0, 5.0, and 10.0 mmol/L ammonium formate or ammonium acetate in aqueous methanol, 0.5 mmol/L ammonium fluoride in aqueous methanol exhibited higher sensitivities for all the 17 PFASs, with PFASs bearing long-chain carboxylic acids (C10-C18) showing 1-2 fold increases in sensitivity. PFASs do not dissociate in acidic environments, favoring their entry into the organic phase. Therefore, we investigated the effect of extractant acidity, which revealed that the 17 PFASs were better extracted using 0.1% (v/v) formic acid in acetonitrile. The beef matrix has a complex composition; consequently, d-SPE adsorbents were required to purify samples and reduce matrix effects. The purification effects of four adsorbents (PSA, C18, GCB, and EMR-Lipid) toward the 17 PFASs and the amount of EMR-Lipid used were investigated, which revealed that 100 mg PSA+80 mg C18+40 mg GCB+150 mg EMR-Lipid exhibited superior matrix-purification behavior. We also investigated the effects of various injection solutions and types of syringe filter, with pure methanol selected for reconstitution and high-speed supernatant centrifugation applied prior to injection. The developed method is simple, rapid, sensitive, and reproducible, and can be used to simultaneously, rapidly, and accurately determine various perfluoroalkyl compounds in beef.

Determination of seven phenoxy carboxylic acid herbicides in water using dispersive solid phase extraction coupled with ultra-high performance liquid chromatography-tandem mass spectrometry based on metal-organic framework composite aerogel

Phenoxy carboxylic acid herbicides (PCAs) are difficult to degrade and, thus, pose significant threats to the environment and human health. The limit for 2,4-dichlorophenoxyacetic acid is 30 μg/L in China's standards for drinking water quality, 70 μg/L in the United States' drinking water standards, and 30 μg/L in the World Health Organization's guidelines for drinking water quality. Therefore, the development of an effective detection method for trace PCAs in water is a crucial endeavor. Metal-organic frameworks (MOFs) are novel porous materials that possess advantages such as a large specific surface area, adjustable pore size, and abundant active sites. They exhibit excellent adsorption capability for various compounds. However, the applications of MOFs as adsorbents are limited. For example, the process of isolating powdered MOFs from aqueous solutions is laborious, and microporous MOFs exhibit limited surface affinity, which decreases their mass transfer efficiency in the liquid phase. MOF crystals can be embedded in a substrate to overcome these limitations. Aerogels are obtained by drying hydrogels, which are hydrophilic polymers with a three-dimensional crosslinked network structure. Spongy aerogel materials exhibit unique structural properties such as high porosity, large pore volume, ultralow density, and easy tailorability. When MOFs are combined with an aerogel, their efficient and selective adsorption properties are preserved. In addition, MOF aerogels exhibit a hierarchical porous structure, which enhances the affinity and mass transfer efficiency of the MOF for target molecules. At present, MOF aerogels are primarily prepared by freeze-drying or using supercritical carbon dioxide. These drying processes require significant amounts of energy and time. Hence, the development of greener and more efficient methods to prepare skeleton aerogels is urgently needed. In this study, we prepared an environment-friendly aerogel at ambient temperature and pressure without the use of specialized drying equipment. This ambient-dried MOF composite aerogel was then used for the dispersive solid phase extraction (DSPE) of seven PCAs from environmental water, followed by ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). The key parameters affecting the efficiency of DSPE, including the extraction conditions, ratio of MIL-101(Fe)-NH2 to sodium alginate, pH of the aqueous samples, extraction time, ionic strength (salinity), and elution conditions, such as the elution solvent ratio, elution time, and elution volume, were investigated to obtain optimal extraction efficiency. The adsorbent could adsorb the target contaminants within 12 min, and the analytes could be completely desorbed within 30 s by elution with 4 mL of 1.5% (v/v) formic acid in methanol solution. The water samples could be analyzed without pH adjustment. The main adsorption mechanisms were electrostatic interactions and π-π conjugation. Thus, a new method based on MOF aerogels coupled with UHPLC-MS/MS was developed for the determination of the seven PCA residues in water. The calibration curves for the seven PCAs showed good linearity (r2≥0.9986), with limits of detection (LODs) and quantification (LOQs) ranging from 0.30 to 1.52 ng/L and from 1.00 to 5.00 ng/L, respectively. Good intra- and inter-day precision values of 6.5%-17.1% and 7.4%-19.4%, respectively, were achieved under low (8 ng/L), medium (80 ng/L), and high (800 ng/L) spiking levels. The developed method was applied to the detection of PCAs in surface water, seawater, and waste leachate, and the detected mass concentrations ranged from 0.6 to 19.3 ng/L. Spiked recovery experiments were conducted at mass concentrations of 8, 80, and 800 ng/L, and the recoveries ranged from 61.7% to 120.3%. The proposed method demonstrates good sensitivity, precision, and accuracy, and has potential applications in the detection of trace PCAs in environmental water.

Using metabolomics to explore the effects of epigenetic-modification strategies on the metabolites of Acanthus ilicifolius L. endophytic fungi against ovarian cancer

Ovarian cancer is a serious threat to women's health and safety. So far, people have discovered more than 130 small molecule compounds of natural origin for anti-tumor, of which approximately 50% are of microbial origin. The Acanthus ilicifolius L. species is primarily distributed in the Guangdong, Hainan, and Guangxi regions of China and grows in tidally accessible coastal areas. Recent studies have revealed that Acanthus ilicifolius L. extracts are endowed with a range of pharmacological properties, including anti-inflammatory, hepatoprotective, antioxidant, and antitumor activities. Endophytic fungi are commonly found in the healthy tissue and organs of medicinal plants. These fungi and the plants they inhabit form mutually beneficial symbiotic relationships. Endophytic fungi produce a series of secondary metabolites, with active substances having shown great economic value and applications prospects in drug research and development as well as for the biological control of plant diseases. Secondary metabolites production by endophytic fungi is regulated by specific gene clusters, and several techniques have been used to stimulate the secondary metabolic processes of fungi, including epigenetic-modification and OSMAC (one strain many compounds) strategies, co-culturing, and gene modification. Among these, epigenetic modification has been shown to be effective; this strategy involves the addition of small-molecule epigenetic modifiers to the culture medium, thereby activating silenced biosynthetic gene clusters without altering the DNA sequences of the fungi. This approach facilitates the expression of silenced genes in endophytic fungi, thereby increasing the number and diversity of secondary metabolites. Furthermore, it assists in overcoming the inhibition of microbial secondary-metabolite synthesis under laboratory conditions, and enhances silenced-gene expressions. The advent of novel analytical techniques and bioinformatics has provided a comprehensive, multifaceted, and holistic understanding of fungal metabolism through the development of metabolomics as a research platform. However, few studies have combined anti-ovarian cancer-activity screening with metabolomic approaches in the search for activity-differentiating metabolites from endophytic fungi under the intervention of epigenetic modifiers. Herein, we investigated the impact of epigenetic modifiers on the secondary metabolites of the endophytic Diaporthe goulteri fungus from Acanthus ilicifolius L. to determine their potential anti-ovarian cancer activities. Crude extracts were obtained by controlling three variables: the number of fermentation days, the type of epigenetic modifier, and its concentration, with activities screened using the CCK-8 (cell counting kit-8) method. Ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was subsequently employed for non-targeted metabolomic analysis. A multivariate statistical analysis model was constructed using principal component analysis and orthogonal partial least squares-discriminant analysis, which combines model and variable importance projection, with qualitative screening performed and significant changes (variable importance in the projection (VIP)≥1; P<0. 05) determined. Fifteen differential metabolites were identified in the fungal and epigenetic modification group, primarily comprising polyketides, amino acids, derivatives, alkaloids, and organic acids, including prenderol, glycine, valine, 2-ethylcaproic acid, rubratoxin B, finasteride, 6-silaspiro[5.5]undecane, 1-(2-nitrophenoxy)octane, heptadecene, 1-pentadecene, 11-ketoetiocholanolone, 3-(1-ethyl-1,3,3-trimethyl-2,3-dihydro-1H-inden-5-yl)butanal, N2-benzoylarginine, tabutrex, (3aR,6S,6aS)-6-(4-hydroxy-2-methoxy-2-butanyl)-4,4-dimethylhexahydro-1(2H)-pentalenone, and 8-aminoquinoline. The expressions of prenderol, 1-(2-nitrophenoxy)octane, 3-(1-ethyl-1,3,3-trimethyl-2,3-dihydro-1H-inden-5-yl)butanal, N2-benzoylarginine, and 8-aminoquinoline were downregulated, whereas the expressions of the remaining 10 substances were upregulated. Polyketides were the main components that exhibited higher expressions. This study showed that latent active differential metabolites can be searched by combining anti-ovarian cancer-activity screening with metabolomics analysis, thereby providing a reference for the further development of Acanthus ilicifolius L. resources and the subsequent targeted isolation of active compounds.

Targeted ultra-high performance liquid chromatography-tandem mass spectrometry assay for the quantification of medium-chain phosphatidylcholines in platelets of coronary artery disease patients

In a recent untargeted clinical lipidomics study of platelets of coronary artery disease (CAD) patients, medium-chain phosphatidylcholines (MCPCs) with C8 and C10 fatty acyl residues were found significantly upregulated in the patient group with acute coronary syndrome (ACS) as compared to chronic coronary syndrome (CCS) and healthy controls. To support this finding, this work presents the development and optimization of a targeted UHPLC-QTrap-MS/MS method with multiple reaction monitoring acquisition for the quantitative analysis of MCPCs (PC 10:0/8:0, PC 16:0/8:0, PC 10:0/20:4 and PC 10:0/10:0) in platelets for biomarker validation. A systematic optimization of chromatographic and mass spectrometric parameters was performed. A charged surface hybrid CSH C18 (1.7 µm, 130 Å) column and fine-tuned gradient elution with 2-propanol/acetonitrile and ammonium acetate as additive to the mobile phase was employed in the final method in ESI negative mode. Four selected PC standards (PC 6:0/6:0, PC 8:0/8:0, PC 10:0/10:0 and PC 12:0/12:0), which cover well the carbon and retention rime range of the target analytes, were used for the optimization process and calibration. Quantification was based on matrix-matched calibration with these four selected commercially available MCPC standards as surrogate calibrants and PC 6:0/6:0 (d22) as internal standard. Furthermore, an organic solvent and fatty acyl carbon number-corrected response factor approach gave also accuracies within acceptance limits of bioanalytical validation guidelines and has more generic applicability. Compared to the previous untargeted RPLC-ESI-QTOF-MS/MS method, the optimized targeted UHPLC-QTrap-MS/MS assay showed increased sensitivity and selectivity for the detection of medium-chain PCs in platelet samples of CAD (LOQs in the range of 0.5-5 nmol/L). The method performance parameters indicated its suitability for a future biomarker validation study of MCPCs in platelets.

Pharmacokinetics and bioequivalence of ezetimibe tablet in healthy Chinese subjects under fasting and fed conditions.

The purpose of this study is to evaluate the pharmacokinetics (PK) parameters of an ezetimibe 10 mg (test drug) and assess its bioequivalence to the branded reference product in healthy Chinese subjects under fasting and fed conditions. A single-center, randomized, open-label, four-period, two-sequence, full replicate crossover study was conducted in 88 healthy Chinese subjects under fasting or fed conditions. Subjects received a single oral dose of 10 mg ezetimibe tablet as test or reference formulation. There was a minimum 14-day washout period between each dose. Blood samples were collected at prescribed time intervals, the plasma concentration of free ezetimibe and total ezetimibe (ezetimibe + ezetimibe glucuronide) was determined by a validated ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method. Pharmacokinetik and bioavailability parameters were estimated via non-compartmental methods. Adverse events were also recorded. 40 and 48 eligible healthy subjects were enrolled in the fasted and fed study. Under fasting state, total ezetimibe with 90% confidence intervals (CIs) of Cmax, AUC0-t, and AUC0-∞ were 87.17% (81.99 - 92.66%), 95.98% (92.38-99.72%), and 96.04% (91.37 - 100.95%), respectively. Under fed state, total ezetimibe with 90% confidence intervals (CIs) of Cmax, AUC0-t, and AUC0-∞ were 98.71% (90.11 - 108.13%), 98.32% (94.71 - 102.06%), and 97.90% (92.68 - 103.42%), respectively. The 90% CIs of the ratio of geometric means (GMRs) of Cmax, AUC0-t, AUC0-∞ of the test and reference formulation in both fasting and fed conditions fell within the conventional bioequivalence criteria of 0.80 - 1.25. No severe adverse events were observed. The test and reference 10-mg ezetimibe tablets were bioequivalent under fasting and fed conditions in Chinese subjects. Both preparations showed good safety and tolerability.

Biomarker identification and risk assessment of cardiovascular disease based on untargeted metabolomics and machine learning

Cardiovascular disease (CVD) is the leading cause of mortality, disability, and healthcare costs, with a significant impact on the elderly and contributing to premature deaths across various age groups, including those below age 70. Despite decades of transformative discoveries and clinical efforts, the challenges of diagnosis, prevention, and treatment of CVD persist on a massive scale. This study aimed to unravel potential CVD-associated biomarkers and establish a machine learning model for the risk assessment of CVD. Untargeted metabolic assay with ultra-high performance liquid chromatography-tandem mass spectrometry and routine clinical biochemistry test were undertaken on the fasting venous blood specimens from 57 subjects. Four relevant clinical traits and 164 CVD-associated metabolites were identified, especially those related to glycerophospholipid metabolism and biosynthesis of unsaturated fatty acids. The machine learning model achieved from an integrated biomarker panel of palmitic amide, oleic acid, 138-pos (the 138th detected metabolomic feature in positive ion mode), phosphatidylcholine, linoleic acid, age, direct bilirubin, and inorganic phosphate, was able to improve the accuracy of CVD risk assessment up to a high satisfactory value of 0.91. The findings indicate that disorders in the metabolic processes of biological membranes and energy are significantly associated with increased risk of vascular damage in CVD patients. With machine learning methods, the pivotal metabolites and clinical biomarkers offer a promising potential for the efficient risk assessment and diagnosis of CVD.

Proteomic Profiling of Endothelial Cell Secretomes After Exposure to Calciprotein Particles Reveals Downregulation of Basement Membrane Assembly and Increased Release of Soluble CD59.

Calciprotein particles (CPPs) are essential circulating scavengers of excessive Ca2+ and PO43- ions, representing a vehicle that removes them from the human body and precludes extraskeletal calcification. Having been internalised by endothelial cells (ECs), CPPs induce their dysfunction, which is accompanied by a remarkable molecular reconfiguration, although little is known about this process's extracellular signatures. Here, we applied ultra-high performance liquid chromatography-tandem mass spectrometry to perform a secretome-wide profiling of the cell culture supernatant from primary human coronary artery ECs (HCAECs) and internal thoracic artery ECs (HITAECs) treated with primary CPPs (CPP-P), secondary CPPs (CPP-S), magnesiprotein particles (MPPs), or Ca2+/Mg2+-free Dulbecco's phosphate-buffered saline (DPBS) for 24 h. Incubation with CPP-P/CPP-S significantly altered the profiles of secreted proteins, delineating physiological and pathological endothelial secretomes. Neither pathway enrichment analysis nor the interrogation of protein-protein interactions detected extracellular matrix- and basement membrane-related molecular terms in the protein datasets from CPP-P/CPP-S-treated ECs. Both proteomic profiling and enzyme-linked immunosorbent assay identified an increased level of protectin (CD59) and reduced levels of osteonectin (SPARC), perlecan (HSPG2), and fibronectin (FN1) in the cell culture supernatant upon CPP-P/CPP-S treatment. Elevated soluble CD59 and decreased release of basement membrane components might be considered as potential signs of dysfunctional endothelium.

A novel quantitative method for the determination of 10B-carrier boronophenylalanine in rat plasma by UHPLC-MS/MS and comparison with ICP-MS

L-Boronophenylalanine (BPA), a widely used 10B carrier for clinical boron neutron capture therapy (BNCT), was quantified in rat plasma through a simple, effective and stable ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method. Chromatographic separation was performed on an ACQUITY UPLC HSS T3 (100 mm × 2.1 mm, 1.8 μm) column with the mobile phase of 0.5 % formic acid aqueous solution and acetonitrile. For the detector, the m/z ion pairs used for quantification were 209.1→120.1 for BPA and 210.1→120.1 for internal standard in a positive mode by electrospray ionization (ESI) using multiple reaction monitoring (MRM). The method is specific and robust with rare affection by endogenous substances in the matrix. A good linear relationship was observed over 80–80000 ng/mL (r2 = 0.9993). The values of inter- and intra-day accuracy and precision were within the acceptance criteria of ±15 %. BPA was found to be stable under different experimental conditions. This developed method was successfully applied on a pharmacokinetic experiment on Sprague-Dawley rats (intravenous injection, 125 mg/kg) and a comparation between UHPLC-MS/MS and ICP-MS for BPA was carried out.

Coadministration of Cariprazine with a Moderate CYP3A4 Inhibitor in Patients with Schizophrenia: Implications for Dose Adjustment and Safety Monitoring.

Cariprazine is metabolised mainly by CYP3A4 and to a lesser extent by CYP2D6. This study aimed to evaluate the effects of erythromycin, a moderate cytochrome P450 (CYP)3A4 inhibitor, on the pharmacokinetics of cariprazine in male patients with schizophrenia, and to assess the influence of CYP2D6 phenotypes on cariprazine metabolism. Forty-two patients received oral doses of 1.5 mg cariprazine alone for 28 days (to reach steady state), followed by a co-administration of cariprazine 1.5 mg daily with erythromycin 500 mg twice daily (BID) and Enterol 250 mg BID for 21 days, followed by a 14-day post-treatment period. Blood samples were collected at predefined time points and analysed for cariprazine, its two active metabolites: desmethyl cariprazine (DCAR) and didesmethyl cariprazine (DDCAR), and erythromycin using validated high performance liquid chromatography-tandem mass spectrometry methods. CYP2D6 phenotypes were determined by genotyping. The pharmacokinetic parameters were calculated using non-compartmental analysis. Erythromycin increased the area under the curve (AUCτ) and peak concentration (Cmax) of Total cariprazine (cariprazine + DCAR + DDCAR) by about 40-50% but did not affect the time to peak concentration (Tmax). The CYP2D6 phenotypes had no substantial effect on the pharmacokinetics of cariprazine and its metabolites, either alone or in combination with erythromycin. Cariprazine was well tolerated and safe. The findings suggest that co-administration of cariprazine with moderate CYP3A4 inhibitors may require dose adjustment or monitoring; however, pharmacogenetic testing for CYP2D6 is not necessary for optimising cariprazine therapy. Trial registration number (EudraCT Number): 2018-003721-28. Date of registration: 21-SEP-2018.

HPLC-MS/MS based method for the determination of 2-(3-hydroxy-5-phosphonooxymethyl-2-methyl-4-pyridyl)-1,3-thiazolidine-4-carboxylic acid in human plasma

The report presents first high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) based method for the determination of plasma 2-(3-hydroxy-5-phosphonooxymethyl-2-methyl-4-pyridyl)-1,3-thiazolidine-4-carboxylic acid (HPPTCA), an adduct of cysteine and active form of vitamin B6 pyridoxal 5′-phosphate. The assay employs 4-deoxypyridoxine (4-DPD) as an internal standard. Sample preparation procedure primarily involves acetonitrile (ACN) extraction of HPPTCA from plasma proteins, sample deproteinization by ultrafiltration, and dilution of ultrafiltrate with mobile phase prior to chromatographic analysis. The chromatographic separations of HPPTCA and 4-DPD are achieved within 6 min at 20 °C on X-Bridge Glycan BEH Amide (100 × 2.1 mm, 2.5 μm) column using gradient elution. The eluent consists of 0.1% formic acid in a mixture of solvent A (water and ACN (95:5, v: v)) and solvent B (water and ACN (5:95, v: v)) delivered at a flow rate of 0.3 mL/min. The assay linearity was observed within 0.25-10 µmol/L in plasma. The limit of quantification was found to be 0.25 µmol/L. The method was successfully applied to plasma samples delivered by apparently healthy donors showing that the HPLC-MS/MS assay is suitable for human plasma screening. The presence of HPPTCA was confirmed in eleven of fifteen study samples. The HPPTCA concentration ranged from 0.55 to 8.39 µmol/L.

Citrullination Accompanies the Development of Carotid Atherosclerotic Plaques.

Citrullination represents a post-translational modification primarily mediated by peptidylarginine deiminase (PADI) 2 and 4 and resulting in the conversion of positively charged peptidylarginine to neutrally charged peptidylcitrulline. Molecular consequences of citrullination include the generation of neoepitopes which provoke the production of autoantibodies implicated in the development of autoimmune diseases. As citrullination initiates, promotes, and is enhanced by aseptic inflammation which plays a pivotal role in atherosclerosis, we proposed that citrullination might accompany the development of atherosclerotic vascular disease. To investigate features and patterns of citrullination in atherosclerotic plaques. We collected carotid atherosclerotic plaques (n = 14) and adjacent arterial segments (n = 14) which were pairwise excised during the carotid endarterectomy. The tissues were examined employing proteomic profiling (ultra-high performance liquid chromatography-tandem mass spectrometry analysis), haematoxylin and eosin staining, Western blotting and immunofluorescence staining for peptidylcitrulline, PADI2, and PADI4, and gene expression analysis. To better explore the mechanisms of citrullination in the neointima, we have also stained excised plaques for the extracellular vesicle markers (CD9 and CD81) and assessed co-localisation of PADI2 (a citrullination marker) with CD81 (an extracellular vesicle marker). In order to study the systemic response to citrullination in an atherosclerotic vascular disease setting, we measured the level of anti-citrullinated protein antibodies in the serum of patients with ischaemic stroke and healthy volunteers. Proteomic profiling found 213 plaque-specific and 111 intact arteria-specific proteins, as well as 46 proteins and 13 proteins which have been respectively upregulated or downregulated in plaques as compared with the adjacent intact segments. Among the top 20 upregulated proteins were atherogenic apolipoprotein B-100, iron-associated protein haptoglobin, and matrix metal-loproteinase-9, together indicating the advanced stage of plaque progression. In comparison with the intact arterial segments, plaques demonstrated protein signatures of innate immune response and oxidative stress, suggesting aseptic inflammation as a driver of atherosclerotic vascular disease. Both peptidylcitrulline and PADI2 have been abundant in the neointima but negligible in tunica media; further, the levels of peptidylcitrulline, PADI2, and PADI4 were elevated in plaque lysates in comparison with those from adjacent arterial segments (p = 0.025, 0.025, and 0.010, respectively). Notably, PADI2 and peptidylcitrulline were co-localised with the cells in the neointima and a considerable proportion of PADI2 was co-localised with CD81-positive extracellular vesicles (p = 0.003). Albeit citrullinated histone H3 and myeloperoxidase showed higher signal in the neointima than in tunica media (p = 0.048 and 0.023, respectively), we did not observe any signs of neutrophil extracellular traps (e.g., unwound chromatin or co-localisation of citrullinated histone H3 with neutrophil elastase) in the plaque tissue. Serum anti-citrullinated protein antibodies were not elevated in patients with ischaemic stroke (p = 0.71), suggesting that vascular citrullination likely does not trigger a generalised immune response. The development of carotid atherosclerosis is associated with citrullination, although it represents a local rather than systemic phenomenon in this clinical scenario.

Effect of SiHuangQingXinWan on Klebsiella pneumoniae-induced pneumonia: mechanistic insights.

Due to the high mortality rate and increasing severity of antibiotic resistance, there is a growing interest in new treatments for Klebsiella pneumoniae (KP)-induced pneumonia. Research has shown that the single herbs of SiHuangQingXinWan (SHQXW) are effective in treating pneumonia caused by KP. The PI3K/AKT signaling pathway has garnered attention for its potential role in the management of bacterial infections. This study aimed to evaluate the anti-pneumonia effect of SHQXW and to investigate its mechanism of action. The potential plant metabolites and molecular targets of SHQXW in the context of pneumonia were determined through ultra-high performance liquid chromatography-tandem mass-spectrometry (UHPLC-MS/MS) and bioinformatics analysis. The therapeutic effect of SHQXW was evaluated in a KP-induced pneumonia murine model with imipenem/cilastatin as a positive control. Transcriptomics and non-targeted metabolomics were carried out to unveil potential mechanisms and targets for anti-pneumonia effects. Additionally, an in-depth exploration on the PI3K/AKT signaling pathway was conducted in this study. A total of 24 potential plant metabolites and 285 SHQXW-pneumonia-related targets selected by Homo sapiens were identified in this study. The tested doses of SHQXW significantly reduced mortality, improved body weight, decreased the lung index, reduced the bacterial load, and alleviated lung pathological damage in the KP-induced pneumonia murine model (p < 0.05). Notably, 1.3g/kg/day of SHQXW provided the most effective protective outcome. Furthermore, SHQXW demonstrated the ability to suppress the production of inflammatory factors such as IL-1α, IL-1β, IL-3, IL-6, IL-12p70, G-CSF, GM-CSF, MCP-1, KC, and TNF-α. Analysis of transcriptomic and metabolomic data revealed that SHQXW could modulate inflammation-related signaling pathways (TNF, HIF-1, NF-κB, and PI3K/AKT) and metabolites to regulate pulmonary inflammation. Additional experiments using RT-qPCR and western blotting indicated that SHQXW may exert anti-inflammatory effects by activating the PI3K/AKT pathway. The findings indicate that SHQXW effectively reduces inflammation in mice with KP-induced pneumonia by modulating inflammatory signaling pathways and metabolites, rather than by directly inhibiting the growth of KP. This study introduces a novel treatment approach for KP-induced pneumonia and presents a new outlook on drug development.

Metabolomic profiling of human semen in patients with oligospermia using high performance liquid chromatography-tandem mass spectrometry

Male infertility is one of the most common reproductive dysfunctions. Despite oligospermia being a cause of infertility, few studies have been conducted on it. This study aimed to investigate differences in semen metabolic patterns in patients with oligospermia and to identify potential biomarkers associated with oligospermia. Semen samples from oligospermia patients (20 cases) and healthy controls (20 cases) were detected by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), and 72 and 89 metabolites were identified as potential markers in positive and negative ion modes, respectively. In addition, the results identified multiple metabolic pathways in patients with oligospermia, such as glycine serine and threonine metabolism, Synthesis and degradation of ketone bodies, Valine, leucine, and isoleucine degradation. These results described unique metabolic characteristics of semen in patients with oligospermia and provided novel insights into the mechanism of the semen disorder.

Highly selective guanidine-linked covalent organic framework for efficient removal of perfluoroalkyl carboxylic acids from water samples

In this study, guanidine-linked covalent organic framework (TPDGCl) was synthesized via a solvothermal method. The presence of guanidine groups in its structure facilitates electrostatic interactions and provides hydrogen bonding sites, enabling the selective enrichment of perfluoroalkyl carboxylic acids (PFCAs) from environmental water samples. The material exhibits rapid kinetic mass transfer, which facilitates the efficient removal of samples containing PFCAs from aqueous solutions within 5 min. Furthermore, TPDGCl exhibits several advantageous properties, including high selectivity for PFCAs, a high adsorption capacity (2005 mg/g), excellent chemical stability, and remarkable recyclability (five cycles). Additionally, density functional theory (DFT) studies have demonstrated that the adsorption of PFCAs on TPDGCl is enhanced by ion exchange, hydrophobic interactions, hydrogen bonding interactions and ordered channel structures. Finally, TPDGCl was used as an adsorbent for dispersive solid-phase extraction (d-SPE), in combination with ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS), to develop an analytical method for the efficient extraction and sensitive detection of PFCAs. The developed method exhibits highly sensitivity, with detection and quantification limits of 0.64–0.85 ng/L and 2.6–3.4 ng/L, respectively. The recoveries of actual water samples ranged from 75.4% to 113.7%. Moreover, TPDGCl effectively reduces the levels of PFCAs in real water samples to less than 70 ng/L within only 1 h. These results indicate that TPDGCl is an effective adsorbent for removing PFCAs from environmental water samples.

Vinpocetine Ameliorates Neuronal Injury After Cold-Induced Traumatic Brain Injury in Mice.

Traumatic brain injury (TBI), also known as intracranial injury, is a common condition with the highest incidence rate among neurodegenerative disorders and poses a significant public health burden. Various methods are used in the treatment of TBI, but the effects of cold-induced traumatic brain injury have not been thoroughly studied. In this context, vinpocetine (VPN), derived from Vinca minor, exhibits notable anti-inflammatory and antioxidant properties. VPN is known for its neuroprotective role and is generally utilized for treating various neurodegenerative disorders. However, the function of VPN after cold-induced TBI needs to be studied in more detail. This study aims to investigate the neuroprotective effects of VPN at varying doses (5mg/kg or 10mg/kg) after cold-induced TBI. C57BL/6 mice were sacrificed 2 or 28days after cold-induced TBI. Results indicate that VPN administration significantly reduces brain infarct volume, brain swelling, blood-brain barrier disruption, and DNA fragmentation in a dose-dependent manner. Additionally, VPN enhances neuronal survival in the ipsilesional cortex. In the long term, VPN treatment (5mg/kg/day or 10mg/kg/day, initiated 48h post-TBI) improved locomotor activity, cell proliferation, neurogenesis, and decreased whole brain atrophy, specifically motor cortex atrophy. We performed liquid chromatography-tandem mass spectrometry (LC-MS/MS) to elucidate the underlying mechanisms to profile proteins and signaling pathways influenced by prolonged VPN treatment post-TBI. Notably, we found that 192 different proteins were significantly altered by VPN treatment, which is a matter of further investigation for the development of therapeutic targets. Our study has shown that VPN may have a neuroprotective role in cold-induced TBI.