The effectiveness and limitations of density functional theory (DFT) calculations in the structural determination of complexed and conformationally flexible natural products were demonstrated using the cyclohelminthols CP-1 () CP-2 (), CP-3 (), and CP-4 () newly isolated from yone96. Prior to DFT calculations, the structures were tentatively assigned using conventional spectroscopic analyses. The structures were verified with reference to DFT-derived C and H NMR chemical shifts, and values, and electronic circular dichroism (ECD) spectra. The C chemical shift calculations were very effective for verifying the ring-structure moieties but less effective for verifying the geometry of the side chain in which the juncture asymmetric carbon (C-16) was apart from the ring-structure moiety. However, H chemical shift calculations compensated for the imperfection of the latter. ECD spectral calculations were used to determine the absolute configurations. Calculations for virtual simple model molecules enabled us to evaluate the reliability of the ECD spectral calculation and derive the chiral torsion responsible for the characteristic Cotton effects.
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http://dx.doi.org/10.1021/acs.joc.0c02378 | DOI Listing |
Cell Tissue Res
January 2025
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Traditional transcriptomic studies often overlook the complex heterogeneity of skeletal muscle, as they typically isolate RNA from mixed muscle fibre and cell populations, resulting in an averaged transcriptomic profile that obscures fibre type-specific differences. This study assessed the potential of the recently developed Xenium platform for high-resolution spatial transcriptomic analysis of human skeletal muscle histological sections. Human vastus lateralis muscle samples from two individuals were analysed using the Xenium platform and Human Multi-Tissue and Cancer Panel targeting 377 genes complemented by staining of successive sections for Myosin Heavy Chain isoforms to differentiate between type 1 and type 2 muscle fibres.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Laboratory of Clinical Investigation, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
Background: Neurite degeneration is increasingly suspected to represent a causal feature of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Therefore, sensitive and specific imaging biomarkers of neuronal degeneration are needed to elucidate the mechanisms underlying cognitive impairment in MCI and AD. However, the recently developed Neurite Orientation Dispersion and Density Imaging (NODDI) MRI technique, used to measure the neurite density index (NDI), has some limitations.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.
Background: Diffusion magnetic resonance imaging (dMRI) permits characterizing differences in white matter microstructure associated with amnestic mild cognitive impairment (aMCI) and Alzheimer's dementia (AD). However, most dMRI measures aggregate signals across multiple axonal fiber populations with varying spatial orientations, which limits the sensitivity and specificity of clinical diagnosis. To overcome this shortcoming, we estimated fiber density (FD) measures, independently from crossing fiber populations, and extracellular cerebral spinal fluid (CSF).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Laboratory of Clinical Investigation, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
Background: Neuroimaging-based evidence suggests that changes in cerebral tissue determinants, including axonal density and myelin content, are associated with aging and neurodegenerative diseases. While neuroimaging markers show strong association with physiological changes, direct validation of their specificity remains challenging. Histology provides useful information for validation, however, faces limitations including denaturation of the sample during preparation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Aging is linked to significant white matter abnormalities, which are often studied using traditional diffusion tensor imaging (DTI) metrics; however, these traditional metrics have limited sensitivity/specificity to neurobiological characteristics. Here, we use fixel-based analysis (FBA) - an approach with more precision in areas of crossing fibers - to study age-related white matter microstructural decline.
Method: This study uses cross-sectional data from the Vanderbilt Memory & Aging Project cohort [n=325, age at baseline: 72.
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