Engineering工程
Engineering(英文缩写 ENGINEERING-PRC),ISSN 2095-8099,eISSN 2096-0026,中文译名:工程 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 12.834 | Q1 |
| 2022 | 12.800 | Q1 |
| 2023 | 10.100 | Q1 |
| 2024 | 11.600 | Q1 |
| 2025 | 12.200 | Q1 |
Engineering 最新收录文献
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1. Real-Time Programmable Nonlinear Wavefront Shaping with Si Metasurface Driven by Genetic Algorithm.
PMID:日期:2025-06Nonlinear wavefront shaping is crucial for advancing optical technologies, enabling applications in optical computation, information processing, and imaging. However, a significant challenge is that once a metasurface is fabricated, the nonlinear wavefront it generates is fixed, offering little flexibility. This limitation often necessitates the fabrication of different metasurfaces for different wavefronts, which is both time-consuming and inefficient. To address this, we combine evolutionary algorithms with spatial light modulators (SLMs) to dynamically control wavefronts using a single metasurface, reducing the need for multiple fabrications and enabling the generation of arbitrary nonlinear wavefront patterns without requiring complicated optical alignment. We demonstrate this approach by introducing a genetic algorithm (GA) to manipulate visible wavefronts converted from near-infrared light via third-harmonic generation (THG) in a silicon metasurface. The Si metasurface supports multipolar Mie resonances that strongly enhance light-matter interactions, thereby significantly boosting THG emission at resonant positions. Additionally, the cubic relationship between THG emission and the infrared input reduces noise in the diffractive patterns produced by the SLM. This allows for precise experimental engineering of the nonlinear emission patterns with fewer alignment constraints. Our approach paves the way for self-optimized nonlinear wavefront shaping, advancing optical computation and information processing techniques.
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2. Astrocytic G Protein-Coupled Receptors in Drug Addiction.
PMID:日期:2024-12-25Understanding the cellular mechanisms of drug addiction remains a key task in current brain research. While neuron-based mechanisms have been extensively explored over the past three decades, recent evidence indicates a critical involvement of astrocytes, the main type of non-neuronal cells in the brain. In response to extracellular stimuli, astrocytes modulate the activity of neurons, synaptic transmission, and neural network properties, collectively influencing brain function. G protein-coupled receptors (GPCRs) expressed on astrocyte surfaces respond to neuron- and environment-derived ligands by activating or inhibiting astrocytic signaling, which in turn regulates adjacent neurons and their circuitry. In this review, we focus on the dopamine D1 receptors (D1R) and metabotropic glutamate receptor 5 (mGLUR5 or GRM5)-two GPCRs that have been critically implicated in the acquisition and maintenance of addiction-related behaviors. Positioned as an introductory-level review, this article briefly discusses astrocyte biology, outlines earlier discoveries about the role of astrocytes in substance-use disorders (SUDs), and provides detailed discussion about astrocytic D1Rs and mGLUR5s in regulating synapse and network functions in the nucleus accumbens (NAc)-a brain region that mediates addiction-related emotional and motivational responses. This review serves as a stepping stone for readers of to explore links between astrocytic GPCRs and drug addiction and other psychiatric disorders.
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3. Acoustofluidics-Based Intracellular Nanoparticle Delivery.
3. 基于声流体的细胞内纳米颗粒递送PMID:日期:2024-12-14Controlled intracellular delivery of biomolecular cargo is critical for developing targeted therapeutics and cell reprogramming. Conventional delivery approaches (e.g., endocytosis of nano-vectors, microinjection, and electroporation) usually require time-consuming uptake processes, labor-intensive operations, and/or costly specialized equipment. Here, we present an acoustofluidics-based intracellular delivery approach capable of effectively delivering various functional nanomaterials to multiple cell types (e.g., adherent and suspension cancer cells). By tuning the standing acoustic waves in a glass capillary, our approach can push cells in flow to the capillary wall and enhance membrane permeability by increasing membrane stress to deform cells via acoustic radiation forces. Moreover, by coating the capillary with cargo-encapsulated nanoparticles, our approach can achieve controllable cell-nanoparticle contact and facilitate nanomaterial delivery beyond Brownian movement. Based on these mechanisms, we have successfully delivered nanoparticles loaded with small molecules or protein-based cargo to U937 and HeLa cells. Our results demonstrate enhanced delivery efficiency compared to attempts made without the use of acoustofluidics. Moreover, compared to conventional sonoporation methods, our approach does not require special contrast agents with microbubbles. This acoustofluidics-based approach creates exciting opportunities to achieve controllable intracellular delivery of various biomolecular cargoes to diverse cell types for potential therapeutic applications and biophysical studies.
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4. The Interface of Gene Editing with Regenerative Medicine.
PMID:日期:2024-11-30The potential of regenerative medicine in the clinical space is vast, given its ability to repair and replace damaged tissues, restore lost functions due to age or disease, and transform personalized therapy. Traditional regenerative medicine and tissue engineering strategies have created specialized tissues using progenitor cells and various biological stimuli. To date, there are many US Food and Drug Administration (FDA)-approved regenerative medicine therapies, such as those for wound healing and orthopedic injuries. Nonetheless, these therapies face challenges, including off-target effects, a lack of precision, and failure to target the disease or injury at its origin. In search of novel, precise, and efficient alternatives, the regenerative medicine landscape is shifting towards genome engineering technologies, particularly gene editing. Clustered regularly interspaced short palindromic repeats (CRISPR)-based gene editing systems enable precise knock-ins, knockouts, transcriptional activation and repression, as well as specific base conversions. This advancement has allowed researchers to treat genetic and degenerative diseases, control cell fate for highly regulated tissue repair, and enhance tissue functions. In this review, we explore the progress and future prospects of CRISPR technologies in regenerative medicine, focusing on how gene editing has led to advanced therapeutic applications and served as a versatile research tool for understanding tissue development and disease progression.
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5. Progress in Organ Bioprinting for Regenerative Medicine.
5. 用于再生医学的器官生物打印进展PMID:日期:2024-11-23Organ damage or failure arising from injury, disease, and aging poses challenges due to the body's limited regenerative capabilities. Organ transplantation presents the issues of donor shortages and immune rejection risks, necessitating innovative solutions. The three-dimensional (3D) bioprinting of organs on demand offers promise in tissue engineering and regenerative medicine. In this review, we explore the state-of-the-art bioprinting technologies, with a focus on bioink and cell type selections. We follow with discussions on advances in the bioprinting of solid organs, such as the heart, liver, kidney, and pancreas, highlighting the importance of vascularization and cell integration. Finally, we provide insights into key challenges and future directions in the context of the clinical translation of bioprinted organs and their large-scale production.
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6. Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns.
PMID:日期:2024-07-09Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various applications in catalysis, extraction, carbon capture, and pharmaceuticals. However, discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES formation. The search for DES relies heavily on intuition or trial-and-error processes, leading to low success rates or missed opportunities. Recognizing that hydrogen bonds (HBs) play a central role in DES formation, we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning (ML) models to discover new DES systems. We first analyze the HB properties of 38 known DES and 111 known non-DES systems using their molecular dynamics (MD) simulation trajectories. The analysis reveals that DES systems have two unique features compared to non-DES systems: The DESs have ① more imbalance between the numbers of the two intra-component HBs and ② more and stronger inter-component HBs. Based on these results, we develop 30 ML models using ten algorithms and three types of HB-based descriptors. The model performance is first benchmarked using the average and minimal receiver operating characteristic (ROC)-area under the curve (AUC) values. We also analyze the importance of individual features in the models, and the results are consistent with the simulation-based statistical analysis. Finally, we validate the models using the experimental data of 34 systems. The extra trees forest model outperforms the other models in the validation, with an ROC-AUC of 0.88. Our work illustrates the importance of HBs in DES formation and shows the potential of ML in discovering new DESs.
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7. The Triple Combination of Meropenem, Avibactam, and a Metallo-β-Lactamase Inhibitor Optimizes Antibacterial Coverage Against Different β-Lactamase Producers.
7. 美罗培南、阿维巴坦和金属β-内酰胺酶抑制剂的三重组合优化了对不同β-内酰酶生产者的抗菌覆盖率PMID:日期:2024-07[中文摘要] 本研究探讨了美罗培南（MEM）、一种新型金属β-内酰胺酶（MBL）抑制剂（吲哚-2-羧酸58（InC58））和一种丝氨酸β-内酰酶（SBL）抑制剂（阿维巴坦（AVI））的三重组合对碳青霉烯酶产生菌的广谱活性的潜力。使用琼脂稀释法对由MBL和SBL产生菌组成的不同小组进行了三重组合的敏感性测试。研究了MEM与InC58结合的电阻频率（FoR）。对突变体进行测序，并测试其交叉抗性、适应性和抗性表型的稳定性。与MEM加SBL或MBL抑制剂的双重组合相比，三重组合将活性范围扩展到大多数携带SBL（苯唑西林酶-48（OXA-48）和碳青霉烯酶-2（KPC-2））和MBL（新德里金属β-内酰胺酶（NDMs））的分离株，尽管它对携带Verona整合子编码的金属β-内酰胺酶（VIM）和携带OXA-23-c的Verona整合体无效。MEM加InC58的FoR范围为2.22×10至1.13×10。耐药性与和突变相关，分别影响孔蛋白C和铜的通透性。突变体表现出适应度成本、在没有抗生素压力的情况下传代期间耐药性水平降低，以及对另一种碳青霉烯类（亚胺培南）和一种β-内酰胺酶抑制剂（坦尼伯巴坦）的交叉耐药性。总之，与双重组合相比，MEM与InC58和AVI的三重组合对不同的碳青霉烯酶产生菌显示出更广泛的活性，揭示了一种对抗β-内酰胺酶介导的抗菌药物耐药性的新策略。
[英文摘要] This work explores the potential of a triple combination of meropenem (MEM), a novel metallo-β-lactamase (MBL) inhibitor (indole-2-carboxylate 58 (InC58)), and a serine-β-lactamase (SBL) inhibitor (avibactam (AVI)) for broad-spectrum activity against carbapenemase-producing bacteria. A diverse panel comprising MBL- and SBL-producing strains was used for susceptibility testing of the triple combination using the agar dilution method. The frequency of resistance (FoR) to MEM combined with InC58 was investigated. Mutants were sequenced and tested for cross resistance, fitness, and the stability of the resistance phenotype. Compared with the double combinations of MEM plus an SBL or MBL inhibitor, the triple combination extended the spectrum of activity to most of the isolates bearing SBLs (oxacillinase-48 (OXA-48) and carbapenemase-2 (KPC-2)) and MBLs (New Delhi metallo-β-lactamases (NDMs)), although it was not effective against Verona integron-encoded metallo-β-lactamase (VIM)-carrying () and OXA-23-carrying (). The FoR to MEM plus InC58 ranged from 2.22 × 10 to 1.13 × 10. The resistance correlated with mutations to and , affecting porin C and copper permeability, respectively. The mutants manifested a fitness cost, a decreased level of resistance during passage without antibiotic pressure, and cross resistance to another carbapenem (imipenem) and a β-lactamase inhibitor (taniborbactam). In conclusion, compared with the dual combinations, the triple combination of MEM with InC58 and AVI showed a much wider spectrum of activity against different carbapenemase-producing bacteria, revealing a new strategy to combat β-lactamase-mediated antimicrobial resistance.
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8. DNA G-Quadruplexes as Targets for Natural Product Drug Discovery.
PMID:日期:2024-05-06DNA guanine (G)-quadruplexes (G4s) are unique secondary structures formed by two or more stacked G-tetrads in G-rich DNA sequences. These structures have been found to play a crucial role in highly transcribed genes, especially in cancer-related oncogenes, making them attractive targets for cancer therapeutics. Significantly, targeting oncogene promoter G4 structures has emerged as a promising strategy to address the challenge of undruggable and drug-resistant proteins, such as MYC, BCL2, KRAS, and EGFR. Natural products have long been an important source of drug discovery, particularly in the fields of cancer and infectious diseases. Noteworthy progress has recently been made in the discovery of naturally occurring DNA G4-targeting drugs. Numerous DNA G4s, such as -G4, -G4, -G4, -G4, -G4, and telomeric-G4, have been identified as potential targets of natural products, including berberine, telomestatin, quindoline, sanguinarine, isaindigotone, and many others. Herein, we summarize and evaluate recent advancements in natural and nature-derived DNA G4 binders, focusing on understanding the structural recognition of DNA G4s by small molecules derived from nature. We also discuss the challenges and opportunities associated with developing drugs that target DNA G4s.
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9. Intestinal Epithelial Axin1 Deficiency Protects Against Colitis via Altered Gut Microbiota.
PMID:日期:2023-07-25Intestinal homeostasis is maintained by specialized host cells and the gut microbiota. Wnt/β-catenin signaling is essential for gastrointestinal development and homeostasis, and its dysregulation has been implicated in inflammation and colorectal cancer. Axin1 negatively regulates activated Wnt/β-catenin signaling, but little is known regarding its role in regulating host-microbial interactions in health and disease. Here, we aim to demonstrate that intestinal Axin1 determines gut homeostasis and host response to inflammation. Axin1 expression was analyzed in human inflammatory bowel disease datasets. To explore the effects and mechanism of intestinal Axin1 in regulating intestinal homeostasis and colitis, we generated new mouse models with conditional knockout in intestinal epithelial cell (IEC; ) and Paneth cell (PC; ) to compare with control ( ; LoxP: locus of X-over, P1) mice. We found increased Axin1 expression in the colonic epithelium of human inflammatory bowel disease (IBD). mice exhibited altered goblet cell spatial distribution, PC morphology, reduced lysozyme expression, and enriched (). The absence of intestinal epithelial and PC Axin1 decreased susceptibility to dextran sulfate sodium (DSS)-induced colitis . and mice became more susceptible to DSS-colitis after cohousing with control mice. Treatment with reduced DSS-colitis severity. Antibiotic treatment did not change the IEC proliferation in the mice. However, the intestinal proliferative cells in mice with antibiotic treatment were reduced compared with those in mice without treatment. These data suggest non-colitogenic effects driven by the gut microbiome. In conclusion, we found that the loss of intestinal Axin1 protects against colitis, likely driven by epithelial Axin1 and Axin1-associated . Our study demonstrates a novel role of Axin1 in mediating intestinal homeostasis and the microbiota. Further mechanistic studies using specific Axin1 mutations elucidating how Axin1 modulates the microbiome and host inflammatory response will provide new therapeutic strategies for human IBD.
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10. Quantitative Analysis of the Effectiveness of Antigen- and Polymerase Chain Reaction-Based Combination Strategies for Containing COVID-19 Transmission in a Simulated Community.
PMID:日期:2023-02-11The number of coronavirus disease 2019 (COVID-19) cases continues to surge, overwhelming healthcare systems and causing excess mortality in many countries. Testing of infectious populations remains a key strategy to contain the COVID-19 outbreak, delay the exponential spread of the disease, and flatten the epidemic curve. Using the Omicron variant outbreak as a background, this study aimed to evaluate the effectiveness of testing strategies with different test combinations and frequencies, analyze the factors associated with testing effectiveness, and optimize testing strategies based on these influencing factors. We developed a stochastic, agent-based, discrete-time susceptible-latent-infectious-recovered model simulating a community to estimate the association between three levels of testing strategies and COVID-19 transmission. Antigen testing and its combination strategies were more efficient than polymerase chain reaction (PCR)-related strategies. Antigen testing also showed better performance in reducing the demand for hospital beds and intensive care unit beds. The delay in the turnaround time of test results had a more significant impact on the efficiency of the testing strategy compared to the detection limit of viral load and detection-related contacts. The main advantage of antigen testing strategies is the short turnaround time, which is also a critical factor to be optimized to improve PCR strategies. After modifying the turnaround time, the strategies with less frequent testing were comparable to daily testing. The choice of testing strategy requires consideration of containment goals, test efficacy, community prevalence, and economic factors. This study provides evidence for the selection and optimization of testing strategies in the post-pandemic era and provides guidance for optimizing healthcare resources.