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Background the dietary pattern that characterizes western diet is strongly associated with metabolic diseases and excess weight, as well as chronic illnesses. Misaligned feeding schedules can lead to or aggravate the development of such conditions. Aim this study evaluated the influence of dietary composition and/or time-restricted feeding on the anthropometric and biochemical profile of adult rats. Methods forty male rats, at 60 days of life, were divided into the following groups Control (C), Restricted Control (RC), Westernized (W), and Restricted Westernized (RW). Results westernized groups, in spite of a low energy intake (C = 5399 ± 401.2 kcal; RC = 4279.0 ± 476.2 kcal; W = 4302 ± 619.8 kcal; RW = 4081.0 ± 404.4 kcal, p < 0.001), had a higher body weight (C = 404.6 ± 39.1 g; RC = 335.1 ± 36.5 g; W = 488.9 ± 51.2 g; RW = 438.8 ± 36.5 g, p < 0.001) as compared to their paired controls (RC and C) - around 30 % and 20 % more for RW and W, respectively. The westernized diet caused glucose intolerance15.0 mg/dL; RC = 73.2 ± 21.5 mg/dL ; W = 83.6 ± 23.4 mg/dL; RW = 57.5 ± 13.6 mg/dL) in the serum (p less then 0.05). Conclusion the effect of time-restricted feeding on body weight was strongly dependent on diet composition. The glucose tolerance test showed an influence of the circadian cycle phase. Mixed hyperlipidemia varied according to the presence of westernized diet and/or time-restricted food.In this work, we study the hydrodynamic behavior of monoclonal antibodies in the presence of silicone oil-water interfaces. We model the antibody molecules using a coarse-grained 24-bead model, where two beads are used to represent each antibody domain. We consider the spatial variation of the antibody polarity in our model as each bead represents a set of hydrophilic or hydrophobic amino acids. We use the dissipative particle dynamics scheme to represent the coarse-grained force field which governs the motion of the beads. In addition, interprotein interactions are modeled using an electrostatic force field. The model parameters are determined by comparing the structure factor against experimental structure factor data ranging from a low concentration regime (10 mg/mL) to a high concentration regime (150 mg/mL). Next, we conduct simulations for a suspension of antibody molecules in the presence of silicone oil-water interfaces. Protein loss from the bulk solution is noticed as the molecules adsorb at the interface. We observe dynamic cluster formation in the solution bulk and at the interface, as the antibody molecules self-associate along their trajectories. We quantify the aggregation using a density clustering algorithm and investigate the effect of the antibody concentration on the diffusivity of the antibody solution, aggregation propensity, and protein loss from the bulk. Our study shows that numerical simulations can be an important tool for understanding the molecular mechanisms driving protein aggregation near hydrophobic interfaces.Identifying DNA species is crucial for diagnostics. For DNA identification, single-molecule DNA sequence mapping is an alternative to DNA sequencing toward fast point-of-care testing, which traditionally relies on targeting and labeling DNA sequences with fluorescent labels and readout using optical imaging methods. A nanopore is a promising sensor as a complement to optical mapping with advantages of electric measurement suitable for portable devices and potential for high resolution. Here, we demonstrate a high-resolution nanopore-based DNA sequence mapping by labeling specific short sequence motifs with oligodeoxynucleotides (ODNs) using DNA methyltransferase (MTase) and detecting them using nanopores. We successfully detected ODNs down to the size of 11 nucleotides without introducing extra reporters and resolved neighboring sites with a distance of 141 bp (∼48 nm) on a single DNA molecule. To accurately locate the sequence motif positions on DNA, a nanopore data analysis method is proposed by considering DNA velocity change through nanopores and using ensemble statistics to translate the time-dependent signals to the location information. Our platform enables high-resolution detection of small labels on DNA and high-accuracy localization of them for DNA species identification in an all-electrical format. The method presents an alternative to optical techniques relying on fluorescent labels and is promising for miniature-scale integration for diagnostic applications.The bulbs of the South African Drimia altissima (Asparagaceae or Hyacinthaceae sensu APGII) have yielded a range of previously undescribed bufadienolides, drimianins A-G (1-7), the known bufadienolides bovogenin A (8), 3β-O-β-d-glucopyranosylbovogenin A (9), scillaren F (10), and altoside (11), the known homoisoflavonoid (3S)-3-(4'-methoxybenzyl)-5,6,7-trimethoxychroman-4-one (urgineanin C), the sesquiterpenoids 1β,6α-dihydroxy-4(15)-eudesmene and 6α-hydroxy-4(15)-eudesmen-1-one, polybotrin, adenosine, and 9R-hydroxy-(10E,12Z)-octadecadienoic acid ethyl ester. The bufadienolides isolated were tested at 10 μM in the NCI-60 cancer cell screen, and nine of these were selected for further screening at five concentrations. Drimianins C (3) and E (5) showed activity at the nanomolar level against a number of human cancer cell lines in the NCI-60 screen.Bryopsis corticulans is a marine green macroalga adapted to the intertidal environment. Isoxazole9 It possesses siphonaxanthin-binding light-harvesting complexes of photosystem II (LHCII) with spectroscopic properties markedly different from the LHCII in plants. By applying a phenomenological fitting procedure to the two-dimensional electronic spectra of the LHCII from B. corticulans measured at 77 K, we can extract information about the excitonic states and energy-transfer processes. The fitting method results in well-converged parameters, including excitonic energy levels with their respective transition dipole moments, spectral widths, energy-transfer rates, and coupling properties. The 2D spectra simulated from the fitted parameters concur very well with the experimental data, showing the robustness of the fitting method. An excitonic energy-transfer scheme can be constructed from the fitting parameters. It shows the rapid energy transfer from chlorophylls (Chls) b to a at subpicosecond time scales and a long-lived state in the Chl b region at around 659 nm.

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