RESUMEN
The photophysics of thiobases-nucleobases in which one or more oxygen atoms are replaced with sulfur atoms- vary greatly depending on the location of sulfonation. Not only are direct dynamics of a neutral thiobase impacted, but also the dynamics of excess electron accommodation. In this work, time-resolved photoelectron spectroscopy is used to measure binary anionic clusters of iodide and 4-thiouracil, I- · 4TU. We investigate charge transfer dynamics driven by excitation at 3.88 eV, corresponding to the lowest ππ* transition of the thiouracil, and at 4.16 eV, near the cluster vertical detachment energy. The photoexcited state dynamics are probed by photodetachment with 1.55 and 3.14 eV pulses. Excitation at 3.88 eV leads to a signal from a valence-bound ion only, indicating a charge accommodation mechanism that does not involve a dipole-bound anion as an intermediate. Excitation at 4.16 eV rapidly gives rise to dipole-bound and valence-bound ion signals, with a second rise in the valence-bound signal corresponding to the decay of the dipole-bound signal. The dynamics associated with the low energy ππ* excitation of 4-thiouracil provide a clear experimental proof for the importance of localized excitation and electron backfilling in halide-nucleobase clusters.
RESUMEN
Previous literature has suggested physical exercise may improve cognitive impairments and mitigate depressive symptoms. However, few studies examined the impact of resistance exercise intervention on cognition and depression in older Chinese Americans. The purpose of this pilot study was to assess the effects of resistance exercise training on cognitive performance and depressive symptoms among community-dwelling older Chinese Americans. The study was a two-arm randomized controlled trial with pre-test/post-test design. Thirty older adults were randomly assigned into the resistance exercise intervention group or the wait-list control group. Participants' cognitive performance and depressive symptoms were evaluated at baseline (pre-test) and at 12 weeks (post-test). The results showed that there were significant differences between the intervention and control groups on changes in symptoms of depression, global cognitive function, visuospatial/executive functions, attention, language, and orientation. However, there were no significant differences between both groups on changes in naming, abstraction, and delayed recall domains. The findings of this study suggest that resistance exercise training has a positive impact on improving cognitive performance and depressive symptoms in older adults.
RESUMEN
RATIONALE: Understanding drug-drug interactions and predicting the side effects induced by polypharmacy are difficult because there are few suitable platforms that can predict drug-drug interactions and possible side effects. Hence, developing a platform to identify significant protein markers of drug-drug interactions and their associated side effects is necessary to avoid adverse effects. METHODS: Human liver cells were treated with ethosuximide in combination with cimetidine, ketotifen, metformin, metronidazole, or phenytoin. After sample preparation and extraction, mitochondrial proteins from liver cells were isolated and digested with trypsin. Then, peptide solutions were detected using a nano ultra-performance liquid chromatographic system combined with tandem mass spectrometry. The Ingenuity Pathway Analysis tool was used to simulate drug-drug interactions and identify protein markers associated with drug-induced adverse effects. RESULTS: Several protein markers were identified by the proposed method after liver cells were co-treated with ethosuximide and other drugs. Several of these protein markers have previously been reported in the literature, indicating that the proposed platform is workable. CONCLUSIONS: Using the proposed in vitro platform, significant protein markers of drug-drug interactions could be identified by mass spectrometry. This workflow can then help predict indicators of drug-drug interactions and associated adverse effects for increased safety in clinical prescriptions.
Asunto(s)
Anticonvulsivantes/farmacología , Etosuximida/farmacología , Hígado/efectos de los fármacos , Mitocondrias Hepáticas/efectos de los fármacos , Proteínas Mitocondriales/análisis , Anticonvulsivantes/efectos adversos , Biomarcadores/análisis , Biomarcadores/metabolismo , Células Cultivadas , Enfermedad Hepática Inducida por Sustancias y Drogas/diagnóstico , Enfermedad Hepática Inducida por Sustancias y Drogas/metabolismo , Cromatografía Líquida de Alta Presión/métodos , Interacciones Farmacológicas , Etosuximida/efectos adversos , Humanos , Hígado/metabolismo , Mitocondrias Hepáticas/metabolismo , Proteínas Mitocondriales/metabolismo , Espectrometría de Masas en Tándem/métodosRESUMEN
In the clinic, ethosuximide is commonly used to treat generalized absence seizures but has recently been repurposed for other diseases. Because of adverse effects and drug interactions, high-throughput therapeutic drug monitoring of ethosuximide is necessary. Microextraction is a simple, effective, rapid, and low consumption of organic solvents method for sample preparation. In this study, microderivatization-increased detection (MDID)-combined microextraction was used to detect ethosuximide by mass spectrometry. Ethosuximide is a difficult to retain and ionize compound in the C18 nano-flow column and ionization interface, respectively. Hence, we developed a fast method for detecting ethosuximide in human plasma by using the MDID strategy (within 2 min). Chemical microderivatization parameters were studied and optimized to increase the sensitivity of ethosuximide detection at trace levels. The linear range for the analysis of ethosuximide in 10 µL plasma was 5-500 µg/mL with a coefficient of determination (r2) ≥ 0.995. The precision and accuracy of intraday and interday analyses of ethosuximide were below 13.0%. Furthermore, modifications of major proteins in plasma and blood cells, induced by ethosuximide, were identified. The proposed method effectively utilizes microliter samples to detect drug plasma concentrations under suitable microextraction procedures toward the eco-friendly goal of low consumption of organic solvents. Graphical abstract á .