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Palladium-Catalyzed Transfer Iodination from Aryl Iodides to Nonactivated C(<i>sp</i><sup>3</sup>)–H Bonds
An empirical study on the alleviation of policewomen’ anxiety by mindfulness-based aerobic dance through affecting emotion regulation
Selective Electrochemical Capture of Monovalent Cations Using Crown Ether-Functionalized COFs
Antioxidant profiling and quality assessment of Lithocarpus polystachyus sweet tea using LC-ECD and LC-MS/MS
Abstract This study used liquid chromatography-electrochemical detection (LC-ECD) combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to screen and characterize the antioxidant components of sweet tea (Lithocarpus polystachyus), and to evaluate the quality of the samples from different origins. First, the total phenolic and flavonoid content of sweet tea, as well as the in vitro antioxidant activity, including ABTS and DPPH radical scavenging capacities and ferric reducing ability, were determined. Samples from different origins demonstrated potent antioxidant activity, with correlation coefficients exceeding 0.8 between total phenolic content and antioxidant activities. Then, the fingerprints of sweet tea were generated by LC-ECD and 22 common peaks were identified by LC-MS/MS, with most of them being phloretin derivatives. The clustering heat map revealed differences in the content of sweet tea from various regions, with major compounds identified as trilobatin, phlorizin, 3-hydroxyphlorizin, and its isomer. Furthermore, grey relational analysis confirmed a strong association between different compounds (protocatechuic acid, epicatechin, 3-hydroxyphlorizin, isoquercitrin, and trilobatin) and antioxidant activity, with trilobatin showing the highest contribution, reaching a correlation of 0.9. Finally, 11 phenolic compounds were quantitatively determined. This study screened and identified the major antioxidant components of sweet tea using LC-ECD and LC-MS/MS, providing guidance for its quality control.
Copper-Catalyzed Enantioselective Three-Component Carboamidation of Styrenes with Alkanes and Amides
Decitabine promotes the differentiation of poorly differentiated gastric cancer cells and enhances the sensitivity of NK cell cytotoxicity via TNF-α
Multi-Generation Recycling of Thermosets Enabled by Fragment Reactivation
Plasma metabolomic signatures for copy number variants and COVID-19 risk loci in Northern Finland populations
Abstract Copy number variants (CNVs) are an important class of genomic variation known to be important for human physiology and diseases. Here we present genome-wide metabolomic signatures for CNVs in two Finnish cohorts—The Northern Finland Birth Cohort 1966 (NFBC 1966) and NFBC 1986. We have analysed and reported CNVs in over 9,300 individuals and characterised their dosage effect (CNV-metabolomic QTL) on 228 plasma lipoproteins and metabolites. We have reported reference (normal physiology) metabolomic signatures for up to ~ 2.6 million COVID-19 GWAS results from the National Institutes of Health (NIH) GRASP database, including for outcomes related to COVID-19 death, severity, and hospitalisation. Furthermore, by analysing two exemplar genes for COVID-19 severity namely LZTFL1 and OAS1, we have reported here two additional candidate genes for COVID-19 severity biology, (1) NFIX, a gene related to viral (adenovirus) replication and hematopoietic stem cells and (2) ACSL1, a known candidate gene for sepsis and bacterial inflammation. Based on our results and current literature we hypothesise that (1) charge imbalance across the cellular membrane between cations (Fe 2+ , Mg 2+ etc.) and anions (e.g. ROS, hydroxide ion from cellular Fenton reactions, superoxide etc.), (2) iron trafficking within and between different cell types e.g., macrophages and (3) systemic oxidative stress response (e.g. lipid peroxidation mediated inflammation), together could be of relevance in severe COVID-19 cases. To conclude, our unique atlas of univariate and multivariate metabolomic signatures for CNVs (~ 7.2 million signatures) with deep annotations of various multi-omics data sets provide an important reference knowledge base for human metabolism and diseases.
Dirhodium Complexes Heterochiral-at-the-Metal Centers: An Alternative Type of Paddlewheel Catalyst for Asymmetric Synthesis
A methodological framework for assessing development solutions: application to wood fuel challenges in Nigeria
Abstract Development interventions often yield co-benefits and trade-offs across multiple Sustainable Development Goals (SDGs). However, current approaches typically assess progress towards specific SDG targets, such as increasing access to clean energy or improving health outcomes, rather than evaluating the co-benefits and trade-offs of the solutions used to achieve these targets. This study introduces a solutions-oriented methodology to assess the impacts of development solutions, applied to the case of wood fuel cooking-related challenges in Nigeria. Using a rapid evidence assessment and stakeholder workshop, we identify co-benefits, trade-offs, and barriers associated with 13 wood fuel-related solutions, classified into three types: enhancing fuelwood availability, adopting alternative technologies, and implementing external interventions. We find solutions that increase wood fuel availability can address environmental and social issues, but not health challenges, while alternative fuels/technologies face affordability, market, and cultural acceptance barriers. We highlight data limitations and propose an iterative process to comprehensively evaluate solutions’ impacts. This process facilitates context-specific, cross-sectoral planning but underscores that no universal solution exists. Successful interventions require multi-sector collaboration, public education, and strengthened governance to balance competing priorities and ensure equitable outcomes. By advancing solutions-based approaches, this study contributes to integrating SDG interactions into practical, evidence-informed policy and programming.