Promethazine hydrochloride (PTZ) is an amphiphilic drug derived from the phenothiazine structure that possesses a charged aliphatic chain with a chiral carbon. In the presence of beta-cyclodextrin (beta-CD), this drug undergoes significant changes of its photophysical properties in aqueous solution. Fluorescence spectroscopy measurements show the formation of a 1:1 stoichiometry complex with quantum yield lower than that of the pure PTZ, and two fluorescence lifetimes, which can be assigned to the free and complexed forms of the drug. In addition, (1)H NMR spectra, and 2D rotating-frame Overhauser enhancement spectroscopy (ROESY) were used to characterize the drug and the complex, and to determine the effects of the complexation on the aggregation. For the drug binary system, a noncooperative association process is observed, and in the presence of macrocycle, the chemical shifts reveal a chiral resolution of the drug enantiomers, with different stability constants of the complexes. beta-CD modifies the aggregation of PTZ in an extension that confirms the formation of a 1:1 complex. ROE enhancements and molecular modeling strategies show the most likely structure of the complex in solution, in which one of the phenyl rings is buried into the CD cavity, with a slight inclusion of the aliphatic part.
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http://dx.doi.org/10.1002/jps.21064 | DOI Listing |
Brief Bioinform
November 2024
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea.
Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.
View Article and Find Full Text PDFBrief Bioinform
November 2024
College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
The role of cell-cell communications (CCCs) is increasingly recognized as being important to differentiation, invasion, metastasis, and drug resistance in tumoral tissues. Developing CCC inference methods using traditional experimental methods are time-consuming, labor-intensive, cannot handle large amounts of data. To facilitate inference of CCCs, we proposed a computational framework, called CellMsg, which involves two primary steps: identifying ligand-receptor interactions (LRIs) and measuring the strength of LRIs-mediated CCCs.
View Article and Find Full Text PDFJ Neuroimaging
January 2025
Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Background And Purpose: We investigated the relationship between serotonergic and dopaminergic specific binding transporter ratios (SBRs) over 4 years in Parkinson's disease (PD) patients. We assessed serotonergic innervation's potential compensatory role for dopaminergic denervation, association with PD symptoms, and involvement in the development of levodopa-induced dyskinesia (LID).
Methods: SBRs of the midbrain and striatum were evaluated from [I-123] N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane SPECT images at baseline and after 4 years.
Mycoses
January 2025
Clinical Microbiology Laboratory, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Background: Accurate identification of Fusarium species requires molecular identification. Treating fusariosis is challenging due to widespread antifungal resistance, high rates of treatment failure, and insufficient information relating antifungal susceptibility to the clinical outcome. Despite recent outbreaks in Mexico, there is limited information on epidemiology and antifungal susceptibility testing (AST).
View Article and Find Full Text PDFMycoses
January 2025
Division of Infectious Diseases, Department of Internal Medicine, Excellence Center for Medical Mycology (ECMM), Medical University of Graz, Graz, Austria.
Background: This study investigated the impact of posaconazole (POSA) prophylaxis in COVID-19 patients with acute respiratory failure receiving systemic corticosteroids on the risk for the development of COVID-19-associated pulmonary aspergillosis (CAPA).
Methods: The primary aim of this prospective, multicentre, case-control study was to assess whether application of POSA prophylaxis in mechanically ventilated COVID-19 patients reduces the risk for CAPA development. All consecutive patients from centre 1 (cases) who received POSA prophylaxis as standard-of-care were matched to one subject from centre 2 and centre 3 who did not receive any antifungal prophylaxis, using propensity score matching for the following variables: (i) age, (ii) sex, (iii) treatment with tocilizumab and (iv) time at risk.
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