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Hyperlipidemia is a major modifiable risk factor for cardiovascular disease, and emerging evidence suggests a critical role of the gut microbiota in lipid metabolism. The Dietary Index for Gut Microbiota (DI-GM) is a novel tool designed to capture the microbiota-supportive potential of habitual dietary patterns, yet its association with lipid abnormalities remains underexplored in large populations. We analyzed data from 21,352 adults in the 2010-2020 cycles of the National Health and Nutrition Examination Survey (NHANES). The DI-GM, reflecting 14 microbiota-relevant dietary components, was derived from 24-hour recall data. Hyperlipidemia was defined using standard lipid thresholds or lipid-lowering medication use. Survey-weighted logistic regression, restricted cubic spline analysis, and mediation analysis using the systemic immune-inflammation index (SII) were performed to assess associations and potential mechanisms. Higher DI-GM scores were significantly associated with lower odds of hyperlipidemia (fully adjusted OR for highest vs. lowest category = 0.806; 95% CI: 0.735-0.883). A dose-response relationship was confirmed in spline models. Mediation analysis showed that systemic inflammation, as quantified by SII, accounted for 17.8% of the observed association, suggesting an immunometabolic pathway linking diet and lipid status. Microbiota-oriented dietary patterns, as captured by the DI-GM, are inversely associated with hyperlipidemia in U.S. adults. These findings highlight the value of integrating microbiome-relevant dietary assessment into lipid management strategies. Partial mediation by systemic inflammation underscores a potential mechanistic link warranting further investigation through longitudinal and interventional studies.

The pandemic of COVID-19 has posed an unprecedented threat to global public health. However, the interplay between the viral pathogen of COVID-19, SARS-CoV-2, and host innate immunity is poorly understood. Here we show that SARS-CoV-2 induces overt but delayed type-I interferon (IFN) responses. By screening 23 viral proteins, we find that SARS-CoV-2 NSP1, NSP3, NSP12, NSP13, NSP14, ORF3, ORF6 and M protein inhibit Sendai virus-induced IFN-β promoter activation, whereas NSP2 and S protein exert opposite effects. Further analyses suggest that ORF6 inhibits both type I IFN production and downstream signaling, and that the C-terminus region of ORF6 is critical for its antagonistic effect. Finally, we find that IFN-β treatment effectively blocks SARS-CoV-2 replication. In summary, our study shows that SARS-CoV-2 perturbs host innate immune response via both its structural and nonstructural proteins, and thus provides insights into the pathogenesis of SARS-CoV-2. The pandemic of SARS-CoV-2 post a significant threat to public health. Here the authors show, by screening 23 viral proteins, that both structural and non-structural SARS-CoV-2 proteins are capable of modulating host innate immunity and type interferon responses, with this information serves to warrant further studies on SARS-CoV-2 pathogenesis.

An improved ant-lion algorithm is proposed to solve the load allocation problem to improve the efficiency of load allocation in the power system. The global search capability and optimization performance of the algorithm have been significantly improved by introducing elite weights and chaotic search mechanisms. The innovation of the research lies in not only optimizing economic goals, but also considering environmental goals, achieving dual optimization of economy and environment. The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. The required number of iterations was significantly better than other algorithms. In the verification of solving economic load dispatch, the improved ant-lion optimizer achieved a total fuel cost reduction of 0.10% -2.39% and 6% in both 3-unit and 6-unit simulations, respectively, compared to the other three algorithms. In the verification of solving environmental and economic load dispatch, considering the valve point effect, this proposed optimization scheme had a total fuel cost of 622.46$/hr and a total emission of 0.20 tons/h. The total objective function was 1542.54 $ /hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. Therefore, improving the ant-lion optimizer can enhance its optimization performance. The improved ant-lion optimizer has positive application significance in power system load dispatch and can achieve superior load dispatch results.

The removal of ethane (C 2 H 6 ) from its analogous ethylene (C 2 H 4 ) is of paramount importance in the petrochemical industry, but highly challenging due to their similar physicochemical properties. The use of emerging porous organic cage (POC) materials for C 2 H 6 /C 2 H 4 separation is still in its infancy. Here, we report the benchmark example of a truncated octahedral calix[4]resorcinarene-based POC adsorbent (CPOC-301), preferring to adsorb C 2 H 6 than C 2 H 4 , and thus can be used as a robust absorbent to directly separate high-purity C 2 H 4 from the C 2 H 6 /C 2 H 4 mixture. Molecular modelling studies suggest the exceptional C 2 H 6 selectivity is due to the suitable resorcin[4]arene cavities in CPOC-301, which form more multiple C–H···π hydrogen bonds with C 2 H 6 than with C 2 H 4 guests. This work provides a fresh avenue to utilize POC materials for highly selective separation of industrially important hydrocarbons. The removal of ethane from ethylene is of importance in the petrochemical industry, but similar physicochemical properties of these molecules makes separation a challenging task. Here, the authors demonstrate that a robust octahedral calix[4]resorcinarene-based porous organic cage can separate high-purity ethylene from ethane/ethylene mixtures.

WRKY transcription factors (TFs) are one of the largest transcription factor families in plants and play important roles in plant processes, most notably in responding to diverse biotic and abiotic stresses. This article reviews the recent research progresses on WRKY TFs in regulating plant immunity, which includes both positive and negative regulation. WRKY TFs were shown to regulate plant defense against pathogens including fungi, bacteria, oomycetes, and viruses by modulating downstream pathogen resistance genes or interacting with other regulators. Plant signaling pathways or components involved in the regulatory network of WRKY-mediated plant immunity mainly involve the action of phytohormones, MAPKs (Mitogen-activated protein kinases), and other transcription factors. The interaction of WRKY TFs with these factors during pathogen resistance was discussed in this article, which may contribute to understanding the mechanisms of WRKY transcription factors in plant immunity.

Due to the advantages in efficacy and safety compared with traditional chemotherapy drugs, targeted therapeutic drugs have become mainstream cancer treatments. Since the first tyrosine kinase inhibitor imatinib was approved to enter the market by the US Food and Drug Administration (FDA) in 2001, an increasing number of small-molecule targeted drugs have been developed for the treatment of malignancies. By December 2020, 89 small-molecule targeted antitumor drugs have been approved by the US FDA and the National Medical Products Administration (NMPA) of China. Despite great progress, small-molecule targeted anti-cancer drugs still face many challenges, such as a low response rate and drug resistance. To better promote the development of targeted anti-cancer drugs, we conducted a comprehensive review of small-molecule targeted anti-cancer drugs according to the target classification. We present all the approved drugs as well as important drug candidates in clinical trials for each target, discuss the current challenges, and provide insights and perspectives for the research and development of anti-cancer drugs.

Four nanoporous carbons prepared by direct carbonization of non-permanent highly porous MOF [Zn 3 (BTC) 2 ·(H 2 O) 3 ] n without any additional carbon precursors. The carbonization temperature plays an important role in the pore structures of the resultant carbons. The Brunauer-Emmett-Teller (BET) surface areas of four carbon materials vary from 464 to 1671 m 2 g −1 for different carbonization temperature. All the four carbon materials showed a mesoporous structure centered at ca. 3 nm, high surface area and good physicochemical stability. Hydrogen, methane and carbon dioxide sorption measurements indicated that the C1000 has good gas uptake capabilities. The excess H 2 uptake at 77 K and 17.9 bar can reach 32.9 mg g −1 and the total uptake is high to 45 mg g −1 . Meanwhile, at 95 bar, the total CH 4 uptake can reach as high as 208 mg g −1 . Moreover the ideal adsorbed solution theory (IAST) prediction exhibited exceptionally high adsorption selectivity for CO 2 /CH 4 in an equimolar mixture at 298 K and 1 bar ( S ads = 27) which is significantly higher than that of some porous materials in the similar condition.

The construction of functional three-dimensional covalent organic frameworks (3D COFs) for gas separation, specifically for the efficient removal of ethane (C 2 H 6 ) from ethylene (C 2 H 4 ), is significant but challenging due to their similar physicochemical properties. In this study, we demonstrate fine-tuning the pore environment of ultramicroporous 3D COFs to achieve efficient one-step C 2 H 4 purification. By choosing our previously reported 3D-TPB-COF-H as a reference material, we rationally design and synthesize an isostructural 3D COF (3D-TPP-COF) containing pyridine units. Impressively, compared with 3D-TPB-COF-H, 3D-TPP-COF exhibits both high C 2 H 6 adsorption capacity (110.4 cm 3 g −1 at 293 K and 1 bar) and good C 2 H 6 /C 2 H 4 selectivity (1.8), due to the formation of additional C-H···N interactions between pyridine groups and C 2 H 6 . To our knowledge, this performance surpasses all other reported COFs and is even comparable to some benchmark porous materials. In addition, dynamic breakthrough experiments reveal that 3D-TPP-COF can be used as a robust absorbent to produce high-purity C 2 H 4 directly from a C 2 H 6 /C 2 H 4 mixture. This study provides important guidance for the rational design of 3D COFs for efficient gas separation. The construction of three-dimensional covalent organic frameworks for gas separation is challenging due to the similar physicochemical properties of the gas mixture. Here, the authors report functional three-dimensional covalent organic frameworks by fine-tunning the pore environment with pyridine units to achieve effective separation of ethane from ethylene.

Object detection has made tremendous progress in natural images over the last decade. However, the results are hardly satisfactory when the natural image object detection algorithm is directly applied to satellite images. This is due to the intrinsic differences in the scale and orientation of objects generated by the bird’s-eye perspective of satellite photographs. Moreover, the background of satellite images is complex and the object area is small; as a result, small objects tend to be missing due to the challenge of feature extraction. Dense objects overlap and occlusion also affects the detection performance. Although the self-attention mechanism was introduced to detect small objects, the computational complexity increased with the image’s resolution. We modified the general one-stage detector YOLOv5 to adapt the satellite images to resolve the above problems. First, new feature fusion layers and a prediction head are added from the shallow layer for small object detection for the first time because it can maximally preserve the feature information. Second, the original convolutional prediction heads are replaced with Swin Transformer Prediction Heads (SPHs) for the first time. SPH represents an advanced self-attention mechanism whose shifted window design can reduce the computational complexity to linearity. Finally, Normalization-based Attention Modules (NAMs) are integrated into YOLOv5 to improve attention performance in a normalized way. The improved YOLOv5 is termed SPH-YOLOv5. It is evaluated on the NWPU-VHR10 dataset and DOTA dataset, which are widely used for satellite image object detection evaluations. Compared with the basal YOLOv5, SPH-YOLOv5 improves the mean Average Precision (mAP) by 0.071 on the DOTA dataset.

The regular equilateral triangular periodic firing pattern of grid cells in the entorhinal cortex is considered a regular metric for the spatial world, and the grid-like representation correlates with hexadirectional modulation of theta (4–8 Hz) power in the entorhinal cortex relative to the moving direction. However, researchers have not clearly determined whether grid cells provide only simple spatial measures in human behavior-related navigation strategies or include other factors such as goal rewards to encode information in multiple patterns. By analysing the hexadirectional modulation of EEG signals in the theta band in the entorhinal cortex of patients with epilepsy performing spatial target navigation tasks, we found that this modulation presents a grid pattern that carries target-related reward information. This grid-like representation is influenced by explicit goals and is related to the local characteristics of the environment. This study provides evidence that human grid cell population activity is influenced by reward information at the level of neural oscillations.