123 research outputs found
Vortex-induced Shear Polaritons
Hyperbolic shear polaritons (HShPs) emerge with widespread attention as a new
class of polariton modes with broken symmetry due to shear lattices. In this
letter, we find a new mechanism of generating HShPs. When utilizing vortex
waves as excitation sources of hyperbolic materials without off-diagonal
elements, HShPs will appear. In addition, this asymmetric HShPs can be
recovered as symmetric modes away from the source, with a critical transition
mode between the left-skewed and right-skewed HShPs, via tuning the magnitude
of the off-diagonal imaginary component and controlling the topological charge
of vortex source. It is worth mentioning that we explore the influence of
parity of topological charges on the field distribution and demonstrate these
exotic phenomena from numerical and analytical perspectives. Our results will
promote new opportunities for both HShPs and vortex waves, widening the horizon
for various hyperbolic materials based on vortex sources and offering a new
degree of freedom to control various kinds of polaritons
Uncovering the mechanism of resveratrol in the treatment of asthma: a network pharmacology approach with molecular docking and experimental validation
BackgroundEvidence for the benefits of resveratrol (Res) in the treatment of asthma is progressively accumulating. However, the full spectrum of its molecular targets and the precise mechanisms remain incompletely characterized.MethodTargets of Res were obtained from Swiss Target Prediction, TCMCP, and DrugBank. Targets of asthma were obtained from DisGeNET, Therapeutic Target Database, GeneCards, and DrugBank. Intersecting target genes were identified by using jvenn. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomics (KEGG) enrichment analyses were performed using the R package clusterProfiler in R version 4.4.0. Protein–protein interaction networks were constructed using Cytoscape 3.9.1 software. Molecular docking validation of the binding capacity between Res and targets was performed using AutoDock Vina and visualized in PyMOL version 3.0.4. ELISA and Western blotting were used to verify the reliability of Res effects on the top five targets in both house dust mite (HDM)-induced asthma mouse model and BEAS-2B cell model.ResultsAfter the intersection of the 236 Res targets and the 2,382 asthma targets, 120 targets for Res against asthma were obtained. The top five therapeutic targets based on weighted degree score were TNF, IL6, STAT3, TP53, and IL1B. GO enrichment analysis identified 2,595 significant terms, associated with 2,402 biological processes, followed by 153 molecular functions and 40 cellular components. KEGG enrichment analysis identified 107 relevant pathways, including “apoptosis,” “TNF signaling pathway,” and “MAPK signaling pathway.” Molecular docking showed that Res had a strong binding affinity toward the top five targets with binding energies less than −5.8 kcal/mol. Res treatment normalized the dysregulated expression of TNF-α, IL-6, STAT3, p53, and IL-1β both in vitro and in vivo.ConclusionRes may target TNF-α, IL-6, STAT3, p53, and IL-1β to act as a therapeutic agent for asthma. These findings reveal the potential therapeutic targets for Res against asthma and provide theoretical bases for the clinical application of Res
Non-targeted Metabolomic Study on Anti-aging Effect of Ripe Pu-erh Tea on D-Galactose-Induced Aging Mice
Delaying aging has become a hot spot of social concern and research. Our previous studies have shown that ripe Pu-erh tea can delay aging in mice by regulating the intestinal flora, but the metabolites in response to endogenous substances in mice are not clear. In this paper, the Morris water maze test was used to detect learning and memory capacity in control, D-galactose-induced aging, and ripe Pu-erh tea-treated mice. Non-targeted metabolomics was used to detect metabolites in the brain tissue and serum of mice from each group for the purpose of exploring the anti-aging effect of ripe Pu-erh tea on D-galactose-induced aging mice, screening differential metabolites among the three groups and analyzing the related metabolic pathways. The results showed that ripe Pu-erh tea improved learning capacity, and regulated 26 differential metabolites in the brain tissue of aging mice, mainly involved in the glycerophospholipid metabolism, vitamin B6 metabolism, histidine metabolism and purine metabolism pathways, among which the glycerophospholipid metabolism and histidine metabolism pathway were the most significant. A total of 11 differential metabolites were identified in serum, mainly involved in the metabolism of vitamin B6 and arachidonic acid, among which vitamin B6 metab olism pathway was the most significant. After the intervention with ripe Pu-erh tea, the contents of glycerophospholipid metabolites including phosphatidylcholine [PC (20:5/20:4)], phosphatidyl ethanlamine [PE (22:2/14:0)], phosphatidylserine [PS (20:5/18:1)] and lysophosphatidylcholine [LysoPC (18:2)], the histidine metabolite carnosine, and the vitamin B6 metabolite pyridoxal 5’-phosphate were significantly increased in aging mice. These results suggest that ripe Pu-erh tea can delay aging by regulating lipid and amino acid metabolism
Unveiling early-life microbial colonization profile through characterizing low-biomass maternal-infant microbiomes by 2bRAD-M
IntroductionThe microbial composition of human breast milk and infant meconium offers critical insights into the early microbial colonization profile, and it greatly contributes to the infant’s immune system and long-term health outcomes. However, analyzing these samples often faces technical challenges and limitations of low-resolution using conventional approaches due to their low microbial biomass.MethodsHere, we employed the type IIB restriction enzymes site-associated DNA sequencing for microbiome (2bRAD-M) as a reduced metagenomics method to address these issues and profile species-level microbial composition. We collected breast milk samples, maternal feces, and infant meconium, comparing the results from 2bRAD-M with those from both commonly used 16S rRNA amplicon sequencing and the gold-standard whole metagenomics sequencing (WMS).ResultsThe accuracy and robustness of 2bRAD-M were demonstrated through its consistently high correlation of microbial individual abundance and low whole-community-level distance with the paired WMS samples. Moreover, 2bRAD-M enabled us to identify clinical variables associated with infant microbiota variations and significant changes in microbial diversity across different lactation stages of breast milk.DiscussionThis study underscores the importance of employing 2bRAD-M in future large-scale and longitudinal studies on maternal and infant microbiomes, thereby enhancing our understanding of microbial colonization in early life stages and demonstrating further translational potential
Synthesis and Biological Activities of a 3′-Azido Analogue of Doxorubicin Against Drug-Resistant Cancer Cells
Doxorubicin (DOX), an anthracycline antibiotic, is one of the most active anticancer chemotherapeutic agents. The clinical use of DOX, however, is limited by the dose-dependant P-glycoprotein (P-gp)-mediated resistance. Herein, a 3′-azido analogue of DOX (ADOX) was prepared from daunorubicin (DNR). ADOX exhibited potent antitumor activities in drug-sensitive (MCF-7 and K562) and drug-resistant cell lines (MCF-7/DNR, K562/DOX), respectively. The drug resistance index (DRI) values of ADOX were much lower than that of DOX. The cytotoxicity experiments of ADOX or DOX against K562/DOX, with or without P-gp inhibitor, indicated that ADOX circumvents resistance by abolishing the P-gp recognition. This conclusion was further supported by drug influx/efflux flow cytometry experiments, as well as by molecular docking of ADOX to P-gp. In vivo animal tests, ADOX exhibited higher activity and less toxicity than DOX. The current data warranted ADOX for additional pre-clinical evaluations for new drug development
Optimization of Total Flavonoid Compound Extraction from Gynura medica Leaf Using Response Surface Methodology and Chemical Composition Analysis
Optimization of total flavonoid compound (TFC) extraction from Gynura medica leaf was investigated using response surface methodology (RSM) in this paper. The conditions investigated were 30–60% (v/v) ethanol concentration (X1), 85–95 °C extraction temperature (X2) and 30–50 (v/w) liquid-to-solid ratio (X3). Statistical analysis of the experiments indicated that temperature and liquid-to-solid ratio significantly affected TFC extraction (p < 0.01). The Box-Behnken experiment design showed that polynomial regression models were in good agreement with the experimental results, with the coefficients of determination of 0.9325 for TFC yield. The optimal conditions for maximum TFC yield were 55% ethanol, 92 °C and 50 (v/w) liquid-to-solid ratio with a 30 min extraction time. Extracts from these conditions showed a moderate antioxidant value of 54.78 μmol quercetin/g dry material (DM), 137.3 μmol trolox/g DM for 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 108.21 μmol quercetin/g DM, 242.31 μmol trolox/g DM for 2,2-azino-bis-(3-ethylbenzthiazoline-6-sulphonic acid) (ABTS+), respectively. HPLC-DAD-MS analysis showed that kaempferol-3-O-glucoside was the principal flavonoid compound in Gynura medica leaf
Notice of Retraction: Effects of Psychological Capital on turnover Intension: Mediating roles of psychological empowerment and job satisfaction
Tropical storm-forced near-inertial energy dissipation in the southeast continental shelf region of Hainan Island
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