This study aimed to clarify the physico-chemical properties of cucurbit[7]uril (CB[7]) and cinnamaldehyde (Cinn) inclusion complexes (CB[7]-Cinn) and their resulting antitumor activity. CB[7]-Cinn inclusion complexes were prepared by a simple experimental approach and fully characterized for their stoichiometry, formation constant, particle size and morphology. Quantum chemical calculations were performed to elucidate the stable molecular structures of the inclusion complexes and their precursors and to investigate the probable stoichiometry and direction of interaction using three different DFT functionals at the 6-31G(d,p) basis set. The UV-vis spectrophotometric titrations as well as the Job plot, based on H NMR spectroscopy, suggested 1 : 1 and 1 : 2 stoichiometries of CB[7] : Cinn. The formation constants of the complexes were calculated using Benesi-Hildebrand equations and non-linear fittings. Moreover, the theoretical calculations confirmed the potential formation of 1 : 1 and 1 : 2 stoichiometries and clarify the orientation of binding from the Cinn phenyl moiety. The nanoparticles' TEM images showed a crystal-like spherical shape, smooth surface, with a small tendency to agglomerate. CB[7]-Cinn inclusion complexes were analyzed for their antitumor activity against MDA-MB-231 breast cancer and U-87 glioblastoma cell lines. The IC values were calculated after 72 hours of incubation with different concentrations of CB[7]-Cinn inclusion complexes and compared to free Cinn and free CB[7]. The IC values for free Cinn and CB[7]-Cinn inclusion complexes were 240.17 ± 32.46 μM and 260.47 ± 20.83 μM against U-87 cells and 85.93 ± 3.35 μM and 176.3 ± 7.79 μM against MDA-MB-231 cells, respectively, despite the enhanced aqueous solubility. No significant cytotoxicity was noticed for the free CB[7].
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982175 | PMC |
http://dx.doi.org/10.1039/d2ra00044j | DOI Listing |
Background: Canada and the United States are both aging and becoming increasingly diverse. Despite this demographic shift, non-White racial/ethnic groups remain underrepresented in research on cognitive impairment and dementia. A major barrier to inclusivity is the lack of cognitive assessments that are valid in individuals with diverse language and cultural backgrounds.
View Article and Find Full Text PDFBackground: Harmonization of the two most commonly used Tau PET tracers, 18F-Flortaucipir and 18F-MK6240 has proven to be complex. Unlike the centiloid scale for amyloid tracers, Tau PET SUVRs of the two tracers are not linearly comparable and vary markedly in dynamic range and sensitivity.
Method: Tau PET SUVRs for Braak stage (1-6) in 18F-MK6240 and 18F-Flortaucipir were obtained from the Longitudinal multicenter head-to-head harmonization of tau-PET tracers (HEAD) project.
Background: Training a "robust" predictive model is a non-trivial task, especially for observational datasets. Datasets often contain confounding variables which must be de-confounded (also less accurately referred to as "regressed out") to eliminate the bias in predictive models. Due to the inherent uncertainty and complexity that surrounds the identification of true confounders, typically, all such covariates are regressed out indiscriminately.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
UNIVERSITY OF CALIFORNIA, BERKELEY, California, CA, USA; Department of Psychiatry, SRIHER, Chennai, India.
Background: Exposure to the household air pollution (HAPIN) is a leading health risk in populations in LMIC s and accounts for an estimated 2.3 million premature deaths annually and 91.5 million disability-adjusted life years (Bennitt et al,2021).
View Article and Find Full Text PDFBackground: The cortex responsible for language processing is among the earliest areas affected by Alzheimer's Disease (AD), manifesting speech and language abnormalities even before formal diagnosis. Language decline in AD is clinically significant, often parallel to a loss in basic daily living abilities. Research endeavors to detect AD early through automated speech analysis, emphasizing the need to comprehend factors influencing language disruption.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!