Fentanyl and its analogues are highly abused drugs that dominate the illicit drug trade. alpha-Methylfentanyl (A-F) and beta-hydroxyfentanyl (B-F) are two fentanyl analogues that require the development of rapid detection technologies. The current study established and validated a rapid and high-sensitivity liquid chromatography-tandem mass spectrometry (LC-MS-MS) method to measure A-F and B-F concentrations in rat plasma following intravenous drug administration (20 μg/kg). Because fentanyl is primarily metabolized by the liver, we evaluated the concentrations of A-F and B-F in vivo in rats, in a control group and a group with liver damage induced by 55 days of oral ethanol gavage (6.5 g/kg, 22.5% v/v). Liquid-liquid extraction and LC-MS-MS operating in the positive ion multiple reaction monitoring mode were used. A C18 column was used, and the mobile phase consisted of 0.1% formic acid aqueous and acetonitrile. The limit of detection was 3 pg/mL (S/N > 5) for A-F and B-F. The calibration curves were linear within the concentration range of 0.01-5 ng/mL (R2 = 0.9991) and 0.005-20 ng/mL (R2 = 0.9999) for A-F and B-F, respectively. Extraction recoveries were 91.3%-97.6% with RSD ≤ 11.2% and 90.5%-94.3% with RSD ≤ 10.5% for A-F and B-F, respectively. Plasma matrix effects were 80.61%-84.58% for A-F and 80.67%-81.33% for B-F with RSD ≤ 13.9%. The validated assay indicated no significant differences in pharmacokinetic parameters (AUC0-t, Cmax and T1/2) derived from the assessment of A-F and B-F plasma concentrations between control and ethanol-exposed rats. This assay, for which the LOD was 3 pg/mL for A-F and B-F may help the forensic science field to determine fentanyl analogue-related causes of death and identify illicit drug tampering.
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http://dx.doi.org/10.1093/jat/bkaa114 | DOI Listing |
Brain Commun
January 2025
Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA.
The largest risk factor for dementia is age. Heterochronic blood exchange studies have uncovered age-related blood factors that demonstrate 'pro-aging' or 'pro-youthful' effects on the mouse brain. The clinical relevance and combined effects of these factors for humans is unclear.
View Article and Find Full Text PDFNeurol Genet
December 2024
From the Division of Neurology (A.H.T., S.-Y.L.), Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Programa de Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul (P.S.-A.), Clínica Santa María, Santiago, Chile; Departamento de Farmacologia (A.F.S.S.), Universidade Federal do Rio Grande do Sul; Serviço de Neurologia (A.F.S.S.), Hospital de Clínicas de Porto Alegre, Brazil; Institute of Neurogenetics (H.M., M.L.D., C.K.), University of Lübeck, Germany; Department of Biomedical Science (A.A.-A.), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; The Michael J. Fox Foundation for Parkinson's Research (J.S., B.F.), New York; Department of Medical and Molecular Genetics (C.E.W.), Indiana University, Indianapolis; Department of Neuroscience and Brain Health (M.L.D.), Metropolitan Medical Center, Manila, Philippines; Centre for Preventive Neurology (S.D., M.T.P., A.J.N.), Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom; Unidad de Trastornos del Movimiento (M.T.P.), Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Spain; Laboratory of Neurogenetics (M.B.M.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Department of Clinical and Movement Neurosciences (M.B.M., H.R.M.), UCL Queen Square Institute of Neurology, University College London, United Kingdom; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York; Movement Disorders Division (R.N.A.), Neurological Institute, Tel Aviv Sourasky Medical Center and Tel Aviv School of Medicine, Tel Aviv University, Israel; Molecular Medicine Laboratory and Neurology Department (K.R.K.), Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney; Translational Neurogenomics Group (K.R.K.), Genomic and Inherited Disease Program, Garvan Institute of Medical Research; and St Vincent's Healthcare Campus (K.R.K.), Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.
Background And Objectives: In the era of precision medicine, genetic test results have become increasingly relevant in the care of patients with Parkinson disease (PD). While large research consortia are performing widespread research genetic testing to accelerate discoveries, debate continues about whether, and to what extent, the results should be returned to patients. Ethically, it is imperative to keep participants informed, especially when findings are potentially actionable.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Microbiology, Molecular Biology and Biotechnology, Food Research Institute, National Agricultural and Food Centre, Priemyselná 4, 824 75, Bratislava, Slovakia.
Better growth is a phenotypic trait that can contribute to persistence of in food processing environments. To test the hypothesis objectively, persistent and non-persistent strains were selected and grown in different media to gain reliable quantitative growth characteristics. In this study, the effect of temperature in the range from 6 °C to 43 °C on the planktonic growth of genotypically and phenotypically different strains LM9611-19 (LM-P, persistent) and LM120/5 (LM-S, sporadic - potentially non-persistent) in Tryptone Soy Broth (TSB) and in semi-synthetic cheese medium (SCM) was investigated.
View Article and Find Full Text PDFLife (Basel)
November 2024
Department of Bioengineering, Gebze Technical University, Gebze 41400, Kocaeli, Turkey.
In predictive microbiology, both primary and secondary models are widely used to estimate microbial growth, often applied through two-step or one-step modelling approaches. This study focused on developing a tool to predict the growth of spp., a prominent bacterial genus in food spoilage, by applying machine learning regression models, including Support Vector Regression (SVR), Random Forest Regression (RFR) and Gaussian Process Regression (GPR).
View Article and Find Full Text PDFJ Med Virol
November 2024
School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
The introduction of self-sampling in cervical cancer screening has raised the importance of HPV test validation on self-collected samples. This study aimed to evaluate the clinical accuracy of the OncoPredict HPV Screening (SCR) assay on self-collected vaginal and first-void urine (FVU) samples, relative to cervical specimens, using the VALHUDES Framework. FVU and vaginal self-samples followed by a clinician-collected cervical brushing were collected from 500 women referred to colposcopy and tested using OncoPredict HPV SCR assay.
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