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A method for fast chiral separation of cetirizine and quantitation of levocetirizine in human plasma using subcritical fluid chromatography with tandem mass spectrometry was developed and validated. The chromatographic separation was performed using a Chiralpak IE column (2.1 mm×150 mm, 5 μm) with an isocratic elution of CO2/organic modifier (55/45, v/v) at a flow rate of 0.85 mL/min. The organic modifier was composed of water/methanol (5/95, v/v). The makeup flow was optimized at water/methanol (10/90, v/v) and 0.2 mL/min. The most influential parameters on the separation of cetirizine affecting resolution, retention time and sensitivity were selected by fractional factorial design. The 3 selected factors were optimized by response surface methodology. Tandem mass spectrometry was used at electrospray ionization, positive ion mode, and multiple-reaction monitoring mode. Isotope-labeled cetirizine-d4 was used as the internal standard. The sample preparation of human plasma was conducted by solid phase extraction of hydrophilic-lipophilic balance (HLB) type. The developed method was validated for selectivity, linearity, precision, accuracy, recovery, limit of quantitation (LOQ), and limit of detection (LOD). The real human plasma samples were analyzed and the pharmacokinetic results were compared with results of previous research. The developed method was found to be reliable based on the similarity between the results of the current and previous methods. The chiral separation for cetirizine and economic feasibility were compared with those of previous studies using normal phase-HPLC or reversed phase-HPLC. The established analytical method could be successfully applied to pharmacokinetic study with reduction in the analysis time and costs.
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http://dx.doi.org/10.1016/j.jpba.2015.09.012 | DOI Listing |
Biotechniques
September 2025
Woman, Mother + Baby Research Institute, Tufts Medicine, Boston, MA, USA.
MicroRNAs (miRNAs) are considered more stable than mRNA, but the impact of progressive thawing of biological samples after freezing as may happen during shipping delays has not been quantified. To address this, we utilized digital PCR to estimate the absolute concentrations of select miRNAs following progressive thawing of human plasma and maintenance at ambient temperature. Specifically, we quantified let-7b-3p, miR-144-5p, miR-150-5p, miR-517a-3p, miR-524-5p, and miR-1283, which have varying abundance in plasma.
View Article and Find Full Text PDFJ Vet Intern Med
September 2025
Department of Small Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Background: Serum copeptin (sCoP) is used as a surrogate for plasma arginine vasopressin (pAVP) measurement in humans.
Objective: To measure pAVP and sCoP at rest and after osmotic- and non-osmotic stimulation testing in dogs.
Animals: Eight young castrated/spayed healthy research Beagles, eight young intact dogs, and eight old neutered healthy client-owned dogs.
J Neurochem
September 2025
Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Elucidating the earliest biological mechanisms underlying Alzheimer's disease (AD) is critical for advancing early detection strategies. While amyloid-β (Aβ) and tau pathologies have been central to preclinical AD research, the roles of peripheral biological processes in disease initiation remain underexplored. We investigated patterns of F-MK6240 tau positron emission tomography (PET) and peripheral inflammation across stages defined by Aβ burden and neuronal injury in n = 132 (64.
View Article and Find Full Text PDFInt J Toxicol
September 2025
Department of Pharmaceutical Sciences, University of Vienna, Vienna, Austria.
Polyethylene glycols (PEGs) are amphiphilic polymers that are used extensively in consumer products and PEGylated biotherapeutics. Although PEGs are considered biologically inert with a low toxicity, anti-PEG antibodies have been detected in patients receiving treatment with PEGylated biotherapeutics as well as in healthy individuals. Despite continual exposure in daily life, the prevalence of PEGs within the general population remains unclear.
View Article and Find Full Text PDFFuture Med Chem
September 2025
Computational Science & Artificial Intelligence, Xenon Pharmaceuticals Inc, Burnaby, BC, Canada.
Aims: To develop a machine learning (ML) model for early-stage prediction of human half-life of oral central nervous system (CNS) drugs and to establish a curated dataset, including key and data, to support future modeling efforts.
Materials & Methods: Human and rat half-life, plasma protein binding (PPB), and liver microsomal clearance (LM) data for 76 diverse CNS drugs and candidates were obtained from public sources or evaluated at WuXi AppTec. Gradient tree boosting (GTB) models were constructed using ChemAxon's Trainer Engine.