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The rise of precision education has encouraged teachers to use intelligent diagnostic systems to understand students' learning processes and provide immediate guidance to prevent students from giving up when facing learning difficulties. However, current research on precision education rarely employs multimodal learning analytics approaches to understand students' learning behaviors. Therefore, this study aims to investigate the impact of teachers intervene based on different modalities of learning analytics diagnosing systems on students' learning behaviors, learning performance, and motivation in STEM collaborative learning activities. We conducted a quasi-experiment with three groups: a control group without any learning analytics system assistance, experimental group 1 with a unimodal learning analytics approach based on image data, and experimental group 2 with a multimodal learning analytics approach based on both image and voice data. We collected students' image or voice data according to the experimental design and employed artificial intelligence techniques for facial expression recognition, eye gaze tracking, and speech recognition to identify students' learning behaviors. The results of this research indicate that teacher interventions, augmented by learning analytics systems, have a significant positive impact on student learning outcomes and motivation. In experimental group 2, the acquisition of multimodal data facilitated a more precise identification and addressing of student learning challenges. Relative to the control group, students in the experimental groups exhibited heightened self-efficacy and were more motivated learners. Moreover, students in experimental group 2 demonstrated a deeper level of engagement in collaborative processes and the behavior associated with constructing knowledge.

Background: Virtual reality (VR) offers significant potential for hands-on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher-order thinking. However, many current VR studies in hands-on learning tend to utilise one-way learning materials, limiting participants' ability to interact with and reflect on their actions and learning experiences. Moreover, these studies often neglect to assess learners' capacity to transfer their skills from VR learning to real-world scenarios. Therefore, this study aims to investigate participants' engagement, learning outcomes, higher-order thinking, and their ability to apply acquired skills in real-world contexts. Method and Objective: Participants were immersed in a hands-on learning environment in VR, where they received feedback and engaged in reflection during the learning process. This study recruited 68 university students to participate in the experiment, employing a quasi-experimental design. Participants experienced learning units both with and without reflection on the feedback. The theme of these learning units was related to embedded systems, encompassing topics such as the assembly of embedded components and Python programming. The investigation aimed to assess whether reflection in VR could enhance cognitive levels, engagement, real-world hands-on tasks abilities, and higher-order thinking. Results: The research results indicate that in the VR hands-on learning environment, participants engage in reflection through the provided feedback, effectively enhancing their engagement, cognitive levels, and hands-on task abilities. Simultaneously, it also successfully assists participants in developing problem-solving skills and critical thinking in higher-order thinking. Conclusions: Participants actively engaged in reflection on their own learning tasks and actions within the hands-on learning environment, enabling them to develop a deeper understanding of the learning material and enhance their real-world hands-on tasks abilities, we encourage the integration of reflection strategies in VR learning environments for hands-on learning, as they can yield positive benefits for learners.

Business simulation games (BSG) offer a unique opportunity to provide students with hands-on experience in a simulated business environment. This study aims to explore the effectiveness of BSG in promoting entrepreneurial intentions and competencies among undergraduate students. The study was conducted with 48 students, who participated in BSG as part of their entrepreneurship education (EE). The study used a quasi-experiment to measure changes in students' cognitive and non-cognitive entrepreneurial competencies, as well as their entrepreneurial intentions. The results show that participation in the BSG significantly improved students' cognitive and non-cognitive entrepreneurial competencies, as well as their intention to start a new business. The study concludes that BSG can be an effective teaching strategy for promoting EE and developing entrepreneurial competencies among undergraduate students. However, further research with larger sample sizes and diverse populations is needed to confirm these findings and explore how combining BSG with other teaching methods or interventions can enhance the development of entrepreneurial competencies and intentions.

The relationship between computational thinking (CT) and academic self-efficacy for building students' academic resilience--a trait crucial for problem-solving, peer relationships, and confidence development--was investigated. A mixed-methods approach was employed in a study involving 60 participants; half were given CT instruction and half were instructed traditionally. Quantitative data were analyzed using analysis of covariance and path analysis, while MAXQDA software was employed for qualitative interview data. The study found a positive correlation between CT instruction and academic self-efficacy with increased academic resilience, particularly in the experimental group, and identified key factors contributing to resilience. This study demonstrates the effectiveness of computational thinking (CT) and academic self-efficacy in enhancing academic performance, offering a new understanding of how these elements can be integrated into education to boost student resilience. It establishes a direct empirical link between CT instruction and increased academic self-efficacy, underscoring the value of specific teaching methodologies in fostering resilience. The findings are significant for educators, policymakers, and stakeholders in developing strategies to enhance students' academic and personal success, thereby promoting their overall well-being. Recognizing the importance of CT and self-efficacy paves the way for customized educational programs that effectively support and empower students to thrive.

Abstract Background Coronary artery calcification (CAC) is a common risk factor of cardiovascular disease. Although triglyceride glucose (TYG) index and high-density lipoprotein cholesterol (HDL-c) are both associated with CAC, no study has evaluated the correlation between the TYG/HDL-c ratio and CAC. In the present study, we investigated the relationships between CAC and the TYG index and the TYG/HDL-c ratio. Methods A total of 9585 participants who underwent computed tomography (CT) screening for lung cancer from 2018 to 2020 were included in this cross-sectional study. Demographic data, laboratory test data and medical history data were collected from medical records. TYG = Ln[fasting glucose (mg/dL)×fasting TG (mg/dL/2]. The triglyceride glucose-HDL-c ratio was calculated as TYG/HDL-c. CAC was evaluated on chest CT images. Multivariate logistic regression analysis and restricted cubic splines were used to determine the relationships among the TYG index, TYG/HDL-c ratio and risk of CAC. The receiver operating characteristic (ROC) curve was used to evaluate the performance of the TYG index and TYG/HDL-c ratio in identifying CACs in individuals aged 60 years and above. Results CAC was detected in 2515 of 9585 participants (mean age 51.8 ± 15.5 years, 61.2% men). The prevalence of CAC was significantly greater in participants with a high TYG/HDL-c ratio (32.6% in the fourth quartile vs. 19.1% in the first quartile, p

Abstract The adaptability of insects to hosts has long been a focal point in the study of insect-plant interactions. The pea aphid (Acythosiphon pisum), a significant pest of numerous leguminous crops, not only inflicts direct economic losses but also disseminates various plant viruses. To understand how pea aphids adapt to diverse alfalfa varieties. We analyzed the differentially expressed genes (DEGs) of pea aphids in distinct alfalfa varieties using transcriptome sequencing, and subsequently conducted functional validation of these genes. Comparative analysis between pea aphids feeding on susceptible and resistant strains revealed that DEGs in aphids feeding on resistant strains were primarily associated with transcriptional enrichment in the sugar, amino acid, protein, and lipid metabolism pathways. Fourteen DEGs related to adaptation of the pea aphid to alfalfa were chosen, including five carboxylesterases (CarE), four cytochrome P450s, three glutathione S-transferases, and two peroxidases (POD). RT-qPCR results indicated significant up-regulation of two carboxylesterase genes and two peroxidase genes after 24 h of feeding resistant alfalfa (Gannong 5, GN5) compared to the susceptible varieties (Hunter River, LRH), particularly highlighting the high expression levels of ApCarE4 and ApPOD3. Simultaneously, RNAi-induced knockdown of ApCarE4 and ApPOD3 led to a higher mortality of pea aphids in the alfalfa Hunter River. These results indicate that ApPOD3 and ApCarE4 are involved in the detoxification of metabolic functions in the adaptation of pea aphids to host switching. These findings contribute to the understanding of pea aphid adaptation to host plants and lay a foundation for further exploration of the physiological roles of carboxylesterase and peroxidase genes in pea aphids.

Abstract 3D brain atlases are key resources to understand the brain’s spatial organization and promote interoperability across different studies. However, unlike the adult mouse brain, the lack of developing mouse brain 3D reference atlases hinders advancements in understanding brain development. Here, we present a 3D developmental common coordinate framework (DevCCF) spanning embryonic day (E)11.5, E13.5, E15.5, E18.5, and postnatal day (P)4, P14, and P56, featuring undistorted morphologically averaged atlas templates created from magnetic resonance imaging and co-registered high-resolution light sheet fluorescence microscopy templates. The DevCCF with 3D anatomical segmentations can be downloaded or explored via an interactive 3D web-visualizer. As a use case, we utilize the DevCCF to unveil GABAergic neuron emergence in embryonic brains. Moreover, we map the Allen CCFv3 and spatial transcriptome cell-type data to our stereotaxic P56 atlas. In summary, the DevCCF is an openly accessible resource for multi-study data integration to advance our understanding of brain development.

Abstract Although observational clinical studies have established an association between Intestinal Diseases (IDS) and Anal Diseases (ADS), the causal relationship is still not fully understood due to the limitations of observational studies. Genome-wide association study (GWAS) statistical data for IDS and ADS were obtained from publicly available databases. To assess the causal effects of IDS on ADS, we conducted Mendelian randomization analysis. The inverse variance weighted method indicated that Inflammatory bowel disease (IBD) had a significant causal relationship with three kinds of ADS: Anorectal abscess (ARB), Haemorrhoidal disease (HEM), and Fissure and fistula of anal and rectal regions (FISSANAL). Crohn’s disease (CD) and Ulcerative colitis (UC) also showed significant causal effects with three ADS: ARB, HEM, and FISSANAL. Furthermore, a potential link between CD and BNA(Benign neoplasm of anus and anal canal), Irritable bowel syndrome (IBS) and HEM, Colorectal cancer (CRC) and BNA, and Celiac disease and MNA (Malignant neoplasm of anus and anal canal) was observed. This comprehensive MR analysis highlight the significant and increased risk of common Anal Diseases (ARB, FISSANAL, and HEM) in patients with IBD, CD, and UC. Additionally, potential positive causal associations emerged between IBS and HEM, CRC and BNA, as well as between celiac disease and MNA.

Abstract Background To analyze the association between the hemoglobin glycation index (HGI) and the long-term prognosis of patients with coronary artery disease (CAD). Methods HGI represented the difference between laboratory measured Hemoglobin A1c (HbA1c) and predicted HbA1c based on a liner regression between Hb1Ac and fasting plasma glucose (FPG). A total of 10 598 patients who treated with percutaneous coronary intervention (PCI) were stratified into three groups (low HGI group: HGI

Abstract Background Evidence is scarce on the effect of free fatty acid (FFA) level in the prognosis of coronary artery disease (CAD) patients with hypertension. This study. Methods A large prospective cohort study with a follow-up period of average 2 years was conducted at Xinjiang Medical University Affiliated First Hospital from December 2016 to October 2021. A total of 10,395 CAD participants were divided into groups based on FFA concentration and hypertension status, and then primary outcome mortality and secondary endpoint ischemic events were assessed in the different groups. Results A total of 222 all-cause mortality (ACMs), 164 cardiac mortality (CMs), 718 major adverse cardiovascular events (MACEs) and 803 major adverse cardiovascular and cerebrovascular events (MACCEs) were recorded during follow-up period. A nonlinear relationship between FFA and adverse outcomes was observed only in CAD patients with hypertension. Namely, a “U -shape” relationship between FFA levels and long-term outcomes was found in CAD patients with hypertension. Lower FFA level (

Lung cancer (LC) is considered to have the highest mortality rate around the world. Because there are no early diagnostic signs or efficient clinical alternatives, distal metastasis and increasing numbers of recurrences are a challenge in the clinical management of LC. Long non-coding RNAs (lncRNAs) have recently been recognized as a critical regulator involved in the progression and treatment response to LC. The Wnt/β-catenin pathway has been shown to influence LC occurrence and progress. Therefore, discovering connections between Wnt signaling pathway and lncRNAs may offer new therapeutic targets for improving LC treatment and management. In this review, the purpose of this article is to present possible therapeutic approaches by reviewing particular relationships, key processes, and molecules associated to the beginning and development of LC.

As an important form of education in the future, Edu-Metaverse cannot only innovate the existing teaching mode, provide diversified teaching resources and environments, realize intelligent teaching evaluation and certification methods, etc., but also realize the real integration of people's physical world and virtual world. Therefore, how to deepen the concept of metaverse into the field of education and creating an innovative education model has become the challenge of this research. To this end, this paper develops a comprehensive Edu-Metaverse ecosystem architecture which provides an effective implementation reference for the development of the Edu-Metaverse. In addition, the Edu-Metaverse teaching mode is constructed, and the feasibility of the Edu-Metaverse teaching mode and its breakthrough significance to the existing offline and online education are demonstrated through questionnaires. Through the case study of Edu-Metaverse teaching, the implementation scheme and effective ways of Edu-Metaverse are verified. The research shows that Edu-Metaverse can not only broaden and deepen the educational content, but also reduce the educational cost and improve the quality and efficiency of education, but it also has potential risks.

Science, Technology, Engineering, and Mathematics (STEM) education is essential for developing future-ready learners in both secondary and higher education levels. However, as students transition to higher education, many encounter challenges with independent learning and research. This can negatively impact their Higher-Order Thinking Skills (HOTS), engagement, and practical expertise. This study introduces a solution: Computational Thinking Scaffolding (CTS) in the Jupyter Notebook environment, designed to enhance STEM education at the tertiary level. CTS incorporates five phases: Decomposition, Pattern Recognition, Abstraction, Algorithm Design, and Evaluation. Utilizing a quasi-experimental method, we assessed the impact of CTS on the HOTS, engagement, and practical skills of undergraduate and postgraduate students. Our findings hold substantial relevance for university educators, academic advisors, and curriculum designers aiming to enhance students' HOTS and hands-on capabilities in STEM disciplines. The results validate the effectiveness of CTS in elevating tertiary STEM learning outcomes, and they spotlight the adaptability of the Jupyter Notebook as a valuable tool in higher education. In conclusion, our research underscores the merits of CTS for improving outcomes in higher STEM education and sets a benchmark for future endeavors in this domain.

In the evolving landscape of higher education, challenges such as the COVID-19 pandemic have underscored the necessity for innovative teaching methodologies. These challenges have catalyzed the integration of technology into education, particularly in blended learning environments, to bolster self-regulated learning (SRL) and higher-order thinking skills (HOTS). However, increased autonomy in blended learning can lead to learning disruptions if issues are not promptly addressed. In this context, OpenAI's ChatGPT, known for its extensive knowledge base and immediate feedback capability, emerges as a significant educational resource. Nonetheless, there are concerns that students might become excessively dependent on such tools, potentially hindering their development of HOTS. To address these concerns, this study introduces the Guidance-based ChatGPT-assisted Learning Aid (GCLA). This approach modifies the use of ChatGPT in educational settings by encouraging students to attempt problem-solving independently before seeking ChatGPT assistance. When engaged, the GCLA provides guidance through hints rather than direct answers, fostering an environment conducive to the development of SRL and HOTS. A randomized controlled trial (RCT) was employed to examine the impact of the GCLA compared to traditional ChatGPT use in a foundational chemistry course within a blended learning setting. This study involved 61 undergraduate students from a university in Taiwan. The findings reveal that the GCLA enhances SRL, HOTS, and knowledge construction compared to traditional ChatGPT use. These results directly align with the research objective to improve learning outcomes through providing guidance rather than answers by ChatGPT. In conclusion, the introduction of the GCLA has not only facilitated more effective learning experiences in blended learning environments but also ensured that students engage more actively in their educational journey. The implications of this study highlight the potential of ChatGPT-based tools in enhancing the quality of higher education, particularly in fostering essential skills such as self-regulation and HOTS. Furthermore, this research offers insights regarding the more effective use of ChatGPT in education.

Excessive inflammation caused by bacterial infection is the primary cause of implant failure. Antibiotic treatment often fails to prevent peri-implant infection and may induce unexpected drug resistance. Herein, a non-antibiotic strategy based on the synergy of silver ion release and macrophage reprogramming is proposed for preventing infection and bacteria-induced inflammation suppression by the organic-inorganic hybridization of silver nanoparticle (AgNP) and quercetin (Que) into a polydopamine (PDA)-based coating on the 3D framework of porous titanium (SQPdFT). Once the planktonic bacteria (e.g., Escherichia coli, Staphylococcus aureus) reach the surface of SQPdFT, released Que disrupts the bacterial membrane. Then, AgNP can penetrate the invading bacterium and kill them, which further inhibits the biofilm formation. Simultaneously, released Que can regulate macrophage polarization homeostasis via the peroxisome proliferators-activated receptors gamma (PPARγ)-mediated nuclear factor kappa-B (NF-κB) pathway, thereby terminating excessive inflammatory responses. These advantages facilitate the adhesion and osteogenic differentiation of bone marrow-derived mesenchymal stem cells (BMSCs), concomitantly suppressing osteoclast maturation, and eventually conferring superior mechanical stability to SQPdFT within the medullary cavity. In summary, owing to its excellent antibacterial effect, immune remodeling function, and pro-osteointegration ability, SQPdFT is a promising protective coating for titanium-based implants used in orthopedic replacement surgery.

The need to combine various metals in light-weight constructions requires the development of coatings that prevent galvanic corrosion. Layered double hydroxides (LDHs) can be an example of such coatings, which were previously successfully obtained in situ on individual materials. In addition, the possibility of LDH growth (including LDH growth in the presence of chelating agents) on the surface of plasma electrolytic oxidation (PEO)-coated metals was previously shown. This PEO ​+ ​LDH combination could improve both corrosion and mechanical characteristics of the system. The possibility of LDHs formation in situ on the surface of PEO-coated friction stir welded (FSW) magnesium-aluminum materials (AZ31/AA5754 system was selected as a model one) was demonstrated in the presence of 1,3-diamino-2-hydroxypropane-N,N,N’,N’-tetraacetic acid (DHPTA) as a chelating agent, which was selected based on analysis of respective metal-ligand compounds stability. LDHs growth was achieved under ambient pressure without addition of carbonates in the electrolyte. The effectiveness of the resulting coating is shown both for corrosion resistance and hardness.

Abstract Blue corona discharges are often generated in thunderclouds penetrating into the stratosphere and are the optical manifestation of narrow bipolar events (NBEs) observed in radio signals. While their production appears to depend on convection, the cause and nature of such discharges are not well known. Here we show the observations by a lightning detection array of unusual amounts of 982 NBEs during a tropical storm on the coastline of China. NBEs of negative polarity are predominantly observed at the cloud top reaching the stratosphere, and positive NBEs are primarily at lower altitudes. We find that the dominant polarity changes with the typical time of development of thunderstorm cells, suggesting that the polarity depends on the phase of the storm cells. Furthermore, we find that the lightning jump of negative NBEs is associated with above-anvil cirrus plumes of ice crystals and water vapor in the lower stratosphere. We propose that variations in updrafts induce changes in the altitude and charge concentrations of the cloud layers, which lead to the polarity transition. Our results have implications for studies of the chemical perturbations of greenhouse gas concentrations by corona discharges at the tropopause.

Abstract Background Cardiovascular disease (CVD) remains the foremost cause of mortality globally. Taurine, an amino acid, holds promise for cardiovascular health through mechanisms such as calcium regulation, blood pressure reduction, and antioxidant and anti-inflammatory effects. Despite these potential benefits, previous studies have yielded inconsistent results. This meta-analysis of randomized controlled trials (RCTs) aims to evaluate the existing evidence on the quantitative effects of taurine on hemodynamic parameters and cardiac function grading, which are indicative of overall cardiovascular health and performance. Methods We conducted an electronic search across multiple databases, including Embase, PubMed, Web of Science, Cochrane CENTRAL, and ClinicalTrials.gov, from their inception to January 2, 2024. Our analysis focused on key cardiovascular outcomes, such as heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), left ventricular ejection fraction (LVEF), and New York Heart Association (NYHA) Functional Classification. Meta-regression was applied to explore dose-dependent relationships based on the total taurine dose administered during the treatment period. A subgroup analysis, stratified according to the baseline disease status of patients, was also conducted. Results The analysis included a pooled sample of 808 participants from 20 randomized controlled trials. Taurine demonstrated a significant reduction in HR (weighted mean difference [WMD] = -3.579 bpm, 95% confidence interval [CI] = -6.044 to -1.114, p = 0.004), SBP (WMD = -3.999 mm Hg, 95% CI = -7.293 to -0.706, p = 0.017), DBP (WMD: -1.435 mm Hg, 95% CI: -2.484 to -0.386, p = 0.007), NYHA (WMD: -0.403, 95% CI: -0.522 to -0.283, p

Abstract Objective To conduct a bibliometric analysis of the prospects and obstacles associated with dual- and multi-energy CT in thoracic disease, emphasizing its current standing, advantages, and areas requiring attention. Methods The Web of Science Core Collection was queried for relevant publications in dual- and multi-energy CT and thoracic applications without a limit on publication date or language. The Bibliometrix packages, VOSviewer, and CiteSpace were used for data analysis. Bibliometric techniques utilized were co-authorship analyses, trend topics, thematic map analyses, thematic evolution analyses, source’s production over time, corresponding author’s countries, and a treemap of authors’ keywords. Results A total of 1992 publications and 7200 authors from 313 different sources were examined in this study. The first available document was published in November 1982, and the most cited article was cited 1200 times. Siemens AG in Germany emerged as the most prominent author affiliation, with a total of 221 published articles. The most represented scientific journals were the “European Radiology” (181 articles, h-index = 46), followed by the “European Journal of Radiology” (148 articles, h-index = 34). Most of the papers were from Germany, the USA, or China. Both the keyword and topic analyses showed the history of dual- and multi-energy CT and the evolution of its application hotspots in the chest. Conclusion Our study illustrates the latest advances in dual- and multi-energy CT and its increasingly prominent applications in the chest, especially in lung parenchymal diseases and coronary artery diseases. Photon-counting CT and artificial intelligence will be the emerging hot technologies that continue to develop in the future. Critical relevance statement This study aims to provide valuable insights into energy-based imaging in chest disease, validating the clinical application of multi-energy CT together with photon-counting CT and effectively increasing utilization in clinical practice. Key Points Bibliometric analysis is fundamental to understanding the current and future state of dual- and multi-energy CT. Research trends and leading topics included coronary artery disease, pulmonary embolism, and radiation dose. All analyses indicate a growing interest in the use of energy-based imaging techniques for thoracic applications. Graphical Abstract

Background: High-dose dual therapy (HDDT) using proton-pump inhibitors (PPI) and amoxicillin attracted attention for its simplicity and lower adverse event profile. Besides, vonoprazan is not available worldwide. This real-world study aims to compare the efficacy of esomeprazole-based and rabeprazole-based HDDT regimens and to identify clinical factors influencing outcomes. Methods: A retrospective study enrolled 346 Helicobacter pylori-infected naïve patients from January 2016 to August 2023. Patients were assigned to either a 14-day esomeprazole-based HDDT (EA-14; esomeprazole 40 mg t.i.d. and amoxicillin 750 mg q.i.d. for 14 days, n = 173) or a 14-day rabeprazole-based HDDT (RA-14; rabeprazole 20 mg and amoxicillin 750 mg q.i.d. for 14 days, n = 173). Results: Five patients from the EA-14 group and 10 from the RA-14 group were lost to follow-up, resulting in 168 and 163 patients for the per-protocol (PP) analysis, respectively. Eradication rates for the EA-14 and RA-14 groups were 90.2% and 80.9% (P = 0.014) in intention-to-treat (ITT) analysis; and 92.9% and 85.9% (P = 0.039) in PP analysis. Adverse event rates were similar between the two groups (11.9% vs 11.7%, P = 0.944). In multiple logistic regression analysis, age≧60 was associated with eradication failure (P = 0.046) and a trend of significance for smoking (P = 0.060) in the EA-14 group but not in the RA-14 group. A trend of significance was also observed for eradication regimens (EA-14 vs RA-14) (P = 0.071).The antibiotic resistance rates were amoxicillin (2.3%), clarithromycin (14.7%), metronidazole (40.3%), and dual resistance to clarithromycin and metronidazole (7.0%). Conclusions: Esomeprazole-based HDDT achieved over 90% eradication rates but rabeprazole-based HDDT, which failed.

With the growing demand for weight reduction, the application of joint lightweight structural materials is increasing. Magnesium alloys feature low density, high specific strength and good formability, offering significant advantages for fuel efficiency and load capacity. Combined with Ti, a dissimilar Ti/Mg composite material provides great flexibility combining the properties of each material. However, because of the great differences in chemical and electrochemical properties between Mg and Ti, it is imperative to address the galvanic corrosion problem of such dissimilar Ti/Mg components. This work presents an investigation of the PEO processing of sintered Ti/Mg0.6Ca couples, aiming to improve the corrosion resistance of such dissimilar alloy combinations using a phosphate-aluminate electrolyte. The results show that uniform and continuous coatings can be formed on the dissimilar Ti/Mg0.6Ca couple. The coating mainly contains MgO and MgAl2O4 on the Mg0.6Ca side, and Al2TiO5 is the dominant phase on the Ti side. The work also took advantage of synchrotron X-ray computed tomography (CT) scanning to achieve 3D reconstruction of the coating morphology, which can be a fast method to assess the porosity and compactness of the coating and further predict the coating corrosion resistance. The coating effectively improved the corrosion resistance of the dissimilar Ti/Mg0.6Ca couple.

Aims: To explore the efficacy of extracorporeal shockwave therapy (ESWT) in the treatment of osteochondral defect (OCD), and its effects on the levels of transforming growth factor (TGF)-β, bone morphogenetic protein (BMP)-2, -3, -4, -5, and -7 in terms of cartilage and bone regeneration. Methods: The OCD lesion was created on the trochlear groove of left articular cartilage of femur per rat (40 rats in total). The experimental groups were Sham, OCD, and ESWT (0.25 mJ/mm2, 800 impulses, 4 Hz). The animals were euthanized at 2, 4, 8, and 12 weeks post-treatment, and histopathological analysis, micro-CT scanning, and immunohistochemical staining were performed for the specimens. Results: In the histopathological analysis, the macro-morphological grading scale showed a significant increase, while the histological score and cartilage repair scale of ESWT exhibited a significant decrease compared to OCD at the 8- and 12-week timepoints. At the 12-week follow-up, ESWT exhibited a significant improvement in the volume of damaged bone compared to OCD. Furthermore, immunohistochemistry analysis revealed a significant decrease in type I collagen and a significant increase in type II collagen within the newly formed hyaline cartilage following ESWT, compared to OCD. Finally, SRY-box transcription factor 9 (SOX9), aggrecan, and TGF-β, BMP-2, -3, -4, -5, and -7 were significantly higher in ESWT than in OCD at 12 weeks. Conclusion: ESWT promoted the effect of TGF-β/BMPs, thereby modulating the production of extracellular matrix proteins and transcription factor involved in the regeneration of articular cartilage and subchondral bone in an OCD rat model. Cite this article: Bone Joint Res 2024;13(7):342–352.

Abstract Aging is frequently associated with compromised cerebrovasculature and pericytes. However, we do not know how normal aging differentially impacts vascular structure and function in different brain areas. Here we utilize mesoscale microscopy methods and in vivo imaging to determine detailed changes in aged murine cerebrovascular networks. Whole-brain vascular tracing shows an overall ~10% decrease in vascular length and branching density with ~7% increase in vascular radii in aged brains. Light sheet imaging with 3D immunolabeling reveals increased arteriole tortuosity of aged brains. Notably, vasculature and pericyte densities show selective and significant reductions in the deep cortical layers, hippocampal network, and basal forebrain areas. We find increased blood extravasation, implying compromised blood-brain barrier function in aged brains. Moreover, in vivo imaging in awake mice demonstrates reduced baseline and on-demand blood oxygenation despite relatively intact neurovascular coupling. Collectively, we uncover regional vulnerabilities of cerebrovascular network and physiological changes that can mediate cognitive decline in normal aging.

Myofascial pain syndrome (MPS) is a common musculoskeletal disorder characterized by muscle pain, tenderness, and trigger points. Ultrasonography has emerged as a key tool for diagnosing and treating MPS owing to its ability to provide precise, minimally invasive guidance. This review discusses the use of ultrasonography in various approaches to evaluate and manage MPS. Studies have shown that shear-wave sonoelastography can effectively assess muscle elasticity and offer insights into trapezius stiffness in patients with MPS. Ultrasound-guided interfascial hydrodissection, especially with visual feedback, has demonstrated effectiveness in treating trapezius MPS. Similarly, ultrasound-guided rhomboid interfascial plane blocks and perimysium dissection for posterior shoulder MPS have significantly reduced pain and improved quality of life. The combination of extracorporeal shockwave therapy with ultrasound-guided lidocaine injections has been particularly successful in reducing pain and stiffness in trapezius MPS. Research regarding various guided injections, including dry needling, interfascial plane blocks, and fascial hydrodissection, emphasizes the importance of ultrasonography for accuracy and safety. Additionally, ultrasound-guided delivery of local anesthetics and steroids to the quadratus lumborum muscle has shown lasting pain relief over a 6-month period. Overall, these findings highlight the pivotal role of ultrasonography in the assessment and treatment of MPS.

Abstract Background The cold tolerance of rice is closely related to its production and geographic distribution. The identification of cold tolerance-related genes is of important significance for developing cold-tolerant rice. Dongxiang wild rice (Oryza rufipogon Griff.) (DXWR) is well-adapted to the cold climate of northernmost-latitude habitats ever found in the world, and is one of the most valuable rice germplasms for cold tolerance improvement. Results Transcriptome analysis revealed genes differentially expressed between Xieqingzao B (XB; a cold sensitive variety) and 19H19 (derived from an interspecific cross between DXWR and XB) in the room temperature (RT), low temperature (LT), and recovery treatments. The results demonstrated that chloroplast genes might be involved in the regulation of cold tolerance in rice. A high-resolution SNP genetic map was constructed using 120 BC5F2 lines derived from a cross between 19H19 and XB based on the genotyping-by-sequencing (GBS) technique. Two quantitative trait loci (QTLs) for cold tolerance at the early seedling stage (CTS), qCTS12 and qCTS8, were detected. Moreover, a total of 112 candidate genes associated with cold tolerance were identified based on bulked segregant analysis sequencing (BSA-seq). These candidate genes were divided into eight functional categories, and the expression trend of candidate genes related to ‘oxidation-reduction process’ and ‘response to stress’ differed between XB and 19H19 in the RT, LT and recovery treatments. Among these candidate genes, the expression level of LOC_Os12g18729 in 19H19 (related to ‘response to stress’) decreased in the LT treatment but restored and enhanced during the recovery treatment whereas the expression level of LOC_Os12g18729 in XB declined during recovery treatment. Additionally, XB contained a 42-bp deletion in the third exon of LOC_Os12g18729, and the genotype of BC5F2 individuals with a survival percentage (SP) lower than 15% was consistent with that of XB. Weighted gene coexpression network analysis (WGCNA) and modular regulatory network learning with per gene information (MERLIN) algorithm revealed a gene interaction/coexpression network regulating cold tolerance in rice. In the network, differentially expressed genes (DEGs) related to ‘oxidation-reduction process’, ‘response to stress’ and ‘protein phosphorylation’ interacted with LOC_Os12g18729. Moreover, the knockout mutant of LOC_Os12g18729 decreased cold tolerance in early rice seedling stage signifcantly compared with that of wild type. Conclusions In general, study of the genetic basis of cold tolerance of rice is important for the development of cold-tolerant rice varieties. In the present study, QTL mapping, BSA-seq and RNA-seq were integrated to identify two CTS QTLs qCTS8 and qCTS12. Furthermore, qRT-PCR, genotype sequencing and knockout analysis indicated that LOC_Os12g18729 could be the candidate gene of qCTS12. These results are expected to further exploration of the genetic mechanism of CTS in rice and improve cold tolerance of cultivated rice by introducing the cold tolerant genes from DXWR through marker-assisted selection.

Abstract Background In recent years, with benefits from the continuous improvement of clinical technology and the advantage of fertility preservation, the application of embryo cryopreservation has been growing rapidly worldwide. However, amidst this growth, concerns about its safety persist. Numerous studies have highlighted the elevated risk of perinatal complications linked to frozen embryo transfer (FET), such as large for gestational age (LGA) and hypertensive disorders during pregnancy. Thus, it is imperative to explore the potential risk of embryo cryopreservation and its related mechanisms. Methods Given the strict ethical constraints on clinical samples, we employed mouse models in this study. Three experimental groups were established: the naturally conceived (NC) group, the fresh embryo transfer (Fresh-ET) group, and the FET group. Blastocyst formation rates and implantation rates were calculated post-embryo cryopreservation. The impact of FET on fetal growth was evaluated upon fetal and placental weight. Placental RNA-seq was conducted, encompassing comprehensive analyses of various comparisons (Fresh-ET vs. NC, FET vs. NC, and FET vs. Fresh-ET). Results Reduced rates of blastocyst formation and implantation were observed post-embryo cryopreservation. Fresh-ET resulted in a significant decrease in fetal weight compared to NC group, whereas FET reversed this decline. RNA-seq analysis indicated that the majority of the expression changes in FET were inherited from Fresh-ET, and alterations solely attributed to embryo cryopreservation were moderate. Unexpectedly, certain genes that showed alterations in Fresh-ET tended to be restored in FET. Further analysis suggested that this regression may underlie the improvement of fetal growth restriction in FET. The expression of imprinted genes was disrupted in both FET and Fresh-ET groups. Conclusion Based on our experimental data on mouse models, the impact of embryo cryopreservation is less pronounced than other in vitro manipulations in Fresh-ET. However, the impairment of the embryonic developmental potential and the gene alterations in placenta still suggested it to be a risky operation.

Purpose: Numerous studies have produced conflicting findings regarding the efficacy of statins in prostate cancer treatment. Our objective was to examine the correlation between statin usage and clinical outcomes in Taiwanese men with de novo metastatic prostate cancer. Materials and Methods: We identified patients diagnosed with de novo metastatic prostate cancer from the Chang Gung Research Database spanning the years 2007 to 2020. To minimize confounding bias, we employed the inverse probability of treatment weighting (IPTW) method. Clinical outcomes were assessed using IPTW-adjusted Kaplan-Meier curves. Multivariate Cox proportional hazard regression analysis was utilized to evaluate the association between mortality and clinical factors. Results: The study cohort comprised 1,716 statin users and 276 non-users. Patients who used statins exhibited a longer median overall survival (85.4 months compared to 58.2 months; p=0.001) and cancer-specific survival (112.6 months compared to 75.7 months; p

Abstract Background The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This study aimed to compare the predictive value of these indicators for 5-year mortality in critically ill patients with chronic heart failure (CHF). Methods Critically ill patients with CHF were identified from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) III and IV databases. The primary outcome was 5-year mortality. The relationship between the three indices and mortality risk was determined using multivariate Cox proportional hazards models, Kaplan–Meier (K‒M) analysis and restricted cubic splines analysis. A receiver operating characteristic (ROC) curve was generated to compare the ability of the three indices to predict mortality. Finally, whether the IR indices would further increase the predictive ability of the basic model including baseline variables with a significance level between survivors and non-survivors was evaluated by ROC curve. Results Altogether, 1329 patients with CHF were identified from the databases. Cox proportional hazards models indicated that the TyG index was independently associated with an elevated risk of 5-year mortality (hazard ratio [HR], 1.56; 95% confidence interval [CI] 1.29–1.9), while the TyG-BMI index and TG/HDL-C level were significantly associated with 5-year mortality, with an HR (95% CI) of 1.002 (1.000–1.003) and 1.01 (1.00–1.03), respectively. The K–M analysis revealed that the cumulative incidence of all-cause 5-year death increased with increasing quartiles of the TyG index, TyG-BMI index, or TG/HDL-C ratio. According to the ROC curve, the TyG index outperformed the TyG-BMI and TG/HDL-C ratio at predicting all-cause 5-year mortality (0.608 [0.571–0.645] vs. 0.558 [0.522–0.594] vs. 0.561 [0.524–0.598]). The effect of the TyG index on all-cause mortality was consistent across subgroups, with no significant interaction with randomized factors. Furthermore, adding the TyG index to the basic model for 5-year mortality improved its predictive ability (area under the curve, 0.762 for the basic model vs. 0.769 for the basic model + TyG index); however, the difference was not statistically significant. Conclusion As continuous variables, all three indices were significantly associated with 5-year mortality risk in critically ill patients with CHF. Although these IR indices did not improve the predictive power of the basic model in patients with CHF, the TyG index appears to be the most promising index (vs. TyG-BMI and TG/HDL-C ratio) for prevention and risk stratification in critically ill patients with CHF.

Abstract Background and purpose The persistent progression of pneumonia is a critical determinant of adverse outcomes in patients afflicted with COVID-19. This study aimed to predict personalized COVID-19 pneumonia progression between the duration of two weeks and 1 month after admission by integrating radiological and clinical features. Methods A retrospective analysis, approved by the Institutional Review Board, encompassed patients diagnosed with COVID-19 pneumonia between December 2022 and February 2023. The cohort was divided into training and validation groups in a 7:3 ratio. A trained multi-task U-Net network was deployed to segment COVID-19 pneumonia and lung regions in CT images, from which quantitative features were extracted. The eXtreme Gradient Boosting (XGBoost) algorithm was employed to construct a radiological model. A clinical model was constructed by LASSO method and stepwise regression analysis, followed by the subsequent construction of the combined model. Model performance was assessed using ROC and decision curve analysis (DCA), while Shapley’s Additive interpretation (SHAP) illustrated the importance of CT features. Results A total of 214 patients were recruited in our study. Four clinical characteristics and four CT features were identified as pivotal components for constructing the clinical and radiological models. The final four clinical characteristics were incorporated as well as the RS_radiological model to construct the combined prediction model. SHAP analysis revealed that CT score difference exerted the most significant influence on the predictive performance of the radiological model. The training group’s radiological, clinical, and combined models exhibited AUC values of 0.89, 0.72, and 0.92, respectively. Correspondingly, in the validation group, these values were observed to be 0.75, 0.72, and 0.81. The DCA curve showed that the combined model exhibited greater clinical utility than the clinical or radiological models. Conclusion Our novel combined model, fusing quantitative CT features with clinical characteristics, demonstrated effective prediction of COVID-19 pneumonia progression from 2 weeks to 1 month after admission. This comprehensive model can potentially serve as a valuable tool for clinicians to develop personalized treatment strategies and improve patient outcomes.

Abstract Arctic amplification (AA), the greater Arctic surface warming compared to the global average, has been widely attributed to increasing concentrations of greenhouse gases (GHG). However, less is known about the impacts of other forcings - notably, anthropogenic aerosols (AER) - and how they may compare to the impacts of GHG. Here we analyze sets of climate model simulations, specifically designed to isolate the AER and GHG effects on global climate. Surprisingly, we find stronger AA produced by AER than by GHG during the 1955–1984 period, when the strongest global AER increase. This stronger AER-induced AA is due to a greater sensitivity of Arctic sea ice, and associated changes in ocean-to-atmosphere heat exchange, to AER forcing. Our findings highlight the asymmetric Arctic climate response to GHG and AER forcings, and show that clean air policies which have reduced aerosol emissions may have exacerbated the Arctic warming over the past few decades.

Abstract In this paper, an ultra-wideband stealth antenna with high gain on the basis of asymmetric transmission metasurface (ATMS) is proposed. ATMS can convert an incident y-polarised sphere wave into an x-polarised plane wave at the front side and controls the scattering of the incident y-polarised wave to the back side. Excitation of ATMS via a horn antenna, a low radar cross-section (RCS) and wideband antenna system is designed. Furthermore, through design of the meta-atoms and optimization of the macrosequencing, broadband RCS reduction is achieved. The experimental data indicated the reduction of the RCS of the antenna system by up to 10 dB and more than 20 dB in the frequency range of 10.1 GHz to 18 GHz (relative bandwidth is 56.2%) and 13.9 GHz to 18 GHz (relative bandwidth is 25.7%), respectively. In addition, a 3 dB gain relative bandwidth of 57.4% is achieved between 10 and 18 GHz, with a peak gain of 28.2 dB. It is noteworthy that the high gain and low scattering performance of the antenna are achieved in the same spectral range (10–18 GHz), and there is no interference between the scattering performance and radiation performance of the antenna, which could be controlled separately.

Abstract Aims The study aims to provide comprehensive evidence for the selection of agents in type 2 diabetes mellitus (T2DM) patients with cardiovascular risk and summarize the lasted evidence for the cardiovascular effects of sodium glucose cotransporter‐2 inhibitor (SGLT2i) in patients with heart failure (HF). Methods and results Several online databases were searched. All studies that explored the cardiovascular effects of SGLT2i or glucagon‐like peptide 1 receptor agonist (GLP1‐RA) were screened and reviewed. A total of 38 studies were included. Compared with GLP1‐RA, the use of SGLT2i significantly reduced the risk of cardiovascular death [risk ratio (RR) = 0.59; 95% confidence interval (CI), 0.44–0.58], hospitalization of heart failure (HHF) (RR = 0.77; 95% CI, 0.74–0.80), death from any cause (RR = 0.64; 95% CI, 0.60–0.68), and myocardial infarction (MI) (RR = 0.81; 95% CI, 0.76–0.87). However, SGLT2i significantly increased the risk of stroke (RR = 1.10; 95% CI, 1.04–1.17). Compared with the control group, SGLT2i treatment reduced the risk of cardiovascular death by 14% (RR = 0.86; 95% CI, 0.79–0.94), HHF by 25%, and death from any cause by 9% in patients with HF, regardless of diabetes status. Conclusions SGLT2i is associated with a lower risk of cardiovascular death, HHF, death from any cause, and MI in patients with T2DM compared with GLP1‐RA. In addition, SGLT2i brought more benefits with respect to the effects of cardiovascular death, HHF, and death from any cause in patients with HF, regardless of diabetes status.

Pericarpium Citri Reticulatae ‘Chachi’ (PCR-C), abundant in flavonoids, is traditionally believed to enhance its pharmacological effects with long-term storage. The efficacy of these flavonoids is closely related to their intestinal absorption, which is primarily affected by P-glycoprotein (P-gp). This study explored the interaction between flavonoid absorption and P-gp in PCR-C flavonoid extracts (PCR-CF) over different storage periods using a Caco-2 monolayer model and KB/MDR cells, respectively. The transported concentrations (TC) of key flavonoids-hesperidin, isosinensetin, nobiletin, and tangeretin-significantly varied with the storage duration of PCR-CF. Notably, nobiletin and tangeretin enhanced the TC of these flavonoids by inhibiting P-gp activity, thereby influencing intestinal absorption of PCR-CF with different storage time. These findings provide a scientific basis for the traditional belief that long-stored PCR-C possesses superior medicinal properties.

BackgroundDifficulty in achieving complete resection leads to a poor prognosis for retroperitoneal soft tissue sarcoma, hence emphasizing the significance of adjuvant treatment. The benefit of preoperative radiotherapy for retroperitoneal liposarcoma was initially demonstrated by the STRASS trial. However, the impact of intraoperative radiotherapy (IORT) on retroperitoneal liposarcoma remains unexplored.MethodPatients with retroperitoneal liposarcoma were identified in the Surveillance, Epidemiology, and End Results (SEER) database, treated between 2000 and 2019. Subsequently, a 1:1 propensity score-matched (PSM) analysis was conducted based on variables identified from a multivariate analysis. T-tests were used to assess differences in normally distributed continuous variables, while the rank-sum test was applied to variables that did not follow a normal distribution. The chi-squared test was utilized to evaluate differences in categorical variables. Ultimately, survival analysis was performed using SPSS to evaluate patient prognosis.ResultA total of 2129 patients with retroperitoneal liposarcoma were included in our study. Age, sex, histology, grading, chemotherapy, and tumor size as independent prognostic risk factors for these patients through multivariate Cox regression analysis. Subsequently, 66 patients were included in the survival analysis through PSM, with 33 patients receiving IORT. Finally, the survival analysis revealed that there was no difference in overall survival among patients with retroperitoneal liposarcoma, regardless of whether they received IORT or not (p= 0.711).ConclusionAs an exploratory study, our findings suggest that patients may not derive benefit from intraoperative radiotherapy. These observations are intended to lay the groundwork for future prospective clinical studies.

The traditional treatment for small-cell lung cancer (SCLC) has been traditional systemic platinum-containing chemotherapy because the response rate is 50–90%. Durvalumab is an immune checkpoint inhibitor that blocks the binding of programmed cell death protein 1 and programmed cell death 1 ligand 1. Durvalumab combined with traditional chemotherapy agents has been recommended as the first-line treatment for extensive-stage SCLC, but its use may cause immune-related adverse events. Autoimmune encephalitis is a rare and potentially fatal neurological adverse event. This current case report describes a male patient in his late 50s with ES-SCLC who developed autoimmune encephalitis associated with durvalumab treatment after three cycles of combination chemotherapy. This current case furthers the understanding of autoimmune encephalitis caused by durvalumab treatment.

PurposeThe infiltration of immune cells and their roles of the infiltrating-immune cells in gastrointestinal stromal tumor (GIST) is still unclear. We aimed to discover the infiltration cell types and the relationship between the infiltrating-immune cells and the progression of GIST.Experimental designSingle-cell RNA sequencing were performed to discover types of the infiltrating-immune cells and to analyze CellChat between cells. Immunohistochemistry of 80 GIST samples were used to clarify the relation between macrophages and recurrence risk. In vitro, flow cytometry and Real-time PCR were performed to uncover a potential mechanism of tumor cell regulation of macrophages.ResultsTumor cells, macrophages, and T-cells were the predominant cell types. The MIF/CXCR4 axis was the most common ligand–receptor interaction between macrophages and tumor cells. As the risk increased, expression levels of CD68, CD206, MIF, and CXCR4 gradually increased. In vitro, we found that GIST882 was able to secrete MIF and GIST882 cell supernatant upregulated M2 polarization. Real-time PCR showed that expression levels of IL-10 mRNA and Arginase-1 mRNA were also the highest in the GIST882 cell supernatant group.ConclusionsThese findings identify that macrophages are the most abundant infiltrating cells in GIST. The MIF/CXCR4 axis is the most common ligand–receptor interaction between macrophages and tumor cells. GIST cells can regulate macrophage M2 polarization through the MIF/CXCR4 axis.

Objective: This study aimed to identify common therapeutic targets for well-differentiated and dedifferentiated retroperitoneal liposarcoma. Methods: Patient clinical data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and survival differences were analyzed using the log-rank test. Gene expression data were sourced from the Gene Expression Omnibus (GEO) dataset GSE159659, with differential gene expression analysis conducted through GEO2R. Protein-protein interaction networks were developed using STRING and Cytoscape to identify key hub genes. Gene Ontology (GO) and KEGG pathway enrichment analyses were performed using R, and transcription factors associated with the hub genes were predicted with TRRUST. Results: Significant survival differences were found between patients with well-differentiated and dedifferentiated retroperitoneal liposarcoma. Ninety-six differentially expressed genes with similar expression patterns were identified in both types. A protein-protein interaction network highlighted 12 hub genes and 24 transcription factors. Enrichment analysis pointed to the importance of lipid localization, storage, cytokine signaling, and metal ion absorption in both liposarcoma subtypes. Four potential therapeutic drugs were successfully predicted. Conclusion: This study identifies common molecular targets in well-differentiated and dedifferentiated retroperitoneal liposarcoma, providing new avenues for mechanistic studies and potential therapeutic development.

Background An association between driving pressure (∆P) and the outcomes of invasive mechanical ventilation (IMV) may exist. However, the effect of a sustained limitation of ∆P on mortality in patients with acute respiratory distress syndrome (ARDS), including patients with COVID-19 (COVID-19-related acute respiratory distress syndrome (C-ARDS)) undergoing IMV, has not been rigorously evaluated. The use of emulations of a target trial in intensive care unit research remains in its infancy. To inform future, large ARDS target trials, we explored using a target trial emulation approach to analyse data from a cohort of IMV adults with C-ARDS to determine whether maintaining daily ∆p24 hours of IMV were considered to be assigned to limited ∆P or LTVV. Lung mechanics were measured twice daily after ventilator setting adjustments were made. To evaluate the effect of each lung-protective ventilation (LPV) strategy on the 28-day mortality, we fit a stabilised inverse probability weighted marginal structural model that adjusted for baseline and time-varying confounders known to affect protection strategy use/adherence or survival.Results Among the 92 patients included, 27 (29.3%) followed limited ∆P ventilation, 23 (25.0%) the LTVV strategy and 42 (45.7%) received no LPV strategy. The adjusted estimated 28-day survival was 47.0% (95% CI 23%, 76%) in the limited ∆P group, 70.3% in the LTVV group (95% CI 37.6%, 100%) and 37.6% (95% CI 20.8%, 58.0%) in the no LPV strategy group.Interpretation Limiting ∆P may not provide additional survival benefits for patients with C-ARDS over LTVV. Our results help inform the development of future target trial emulations focused on evaluating LPV strategies, including reduced ∆P, in adults with ARDS.

Plasmid-mediated conjugative transfer of antibiotic resistance genes (ARGs) within the human and animal intestine represents a substantial global health concern. linoleic acid (LA) has shown promise in inhibiting conjugation in vitro, but its in vivo effectiveness in the mammalian intestinal tract is constrained by challenges in efficiently reaching the target site. Recent advancements have led to the development of waterborne polyurethane nanoparticles for improved drug delivery. In this study, we synthesized four waterborne polyurethane nanoparticles incorporating LA (WPU@LA) using primary raw materials, including N-methyldiethanolamine, 2,2'-(piperazine-1,4-diyl) diethanol, isophorone diisocyanate, castor oil, and acetic acid. These nanoparticles, identified as WPU0.89@LA, WPU0.99@LA, WPU1.09@LA, and WPU1.19@LA, underwent assessment for their pH-responsive release property and biocompatibility. Among these, WPU0.99@LA displayed superior pH-responsive release properties and biocompatibility towards Caco-2 and IPEC-J2 cells. In a mouse model, a dosage of 10 mg/kg/day WPU0.99@LA effectively reduced the conjugation of IncX4 plasmids carrying the mobile colistin resistance gene (mcr-1) by more than 45.1-fold. In vivo toxicity assessment demonstrated that 10 mg/kg/day WPU0.99@LA maintains desirable biosafety and effectively preserves gut microbiota homeostasis. In conclusion, our study provides crucial proof-of-concept support, demonstrating that WPU0.99@LA holds significant potential in controlling the spread of antibiotic resistance within the mammalian intestine.