Effect of prehabilitation for patients undergoing gastric cancer surgery: a protocol of a systematic review and meta-analysis.

INTRODUCTION: Gastric cancer is a high-risk cancer with surgical treatments often leading to significant postoperative complications and mortality. Prehabilitation, involving exercise, nutrition and psychological support before surgery, aims to boost patients' physical and mental health. While effective in other cancers, its benefits for gastric cancer need further study. This research will evaluate the impact of trimodal prehabilitation on patient outcomes in gastric cancer surgery, aiming to reduce complications and expedite recovery. METHODS AND ANALYSIS: This study will systematically review randomised controlled trials and cohort studies evaluating the role of prehabilitation in people undergoing gastric cancer resection. The primary outcomes of interest will include overall postoperative complications and length of hospital stay. The secondary outcomes of interest will include mortality, readmission rate or functional recovery. Databases including PubMed, EMBASE, CINAHL, CENTRAL, Chinese BioMedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang database and Chinese Science and Technology Periodicals (VIP) will be searched. All studies will be screened and selected using the criteria described in 'population, intervention/exposure, comparison, outcome and study design' format. Two independent reviewers will screen studies for relevance and methodological validity. Data from included studies will be extracted through a customised, preset data extraction sheet. The Cochrane Review Manager (V.5.3, Nordic Cochrane Centre, Copenhagen, Denmark) software will be used to perform the meta-analysis. ETHICS AND DISSEMINATION: Ethics approval is not required for this study as all results will be based on published papers. No primary data collection will be needed. Study findings will be presented at scientific conferences or published in a peer-reviewed scientific journal. PROSPERO REGISTRATION NUMBER: CRD42023488469.

A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.

Cellular phenotypic heterogeneity is an important hallmark of many biological processes and understanding its origins remains a substantial challenge. This heterogeneity often reflects variations in the chromatin structure, influenced by factors such as viral infections and cancer, which dramatically reshape the cellular landscape. To address the challenge of identifying distinct cell states, we developed artificial intelligence of the nucleus (AINU), a deep learning method that can identify specific nuclear signatures at the nanoscale resolution. AINU can distinguish different cell states based on the spatial arrangement of core histone H3, RNA polymerase II or DNA from super-resolution microscopy images. With only a small number of images as the training data, AINU correctly identifies human somatic cells, human-induced pluripotent stem cells, very early stage infected cells transduced with DNA herpes simplex virus type 1 and even cancer cells after appropriate retraining. Finally, using AI interpretability methods, we find that the RNA polymerase II localizations in the nucleoli aid in distinguishing human-induced pluripotent stem cells from their somatic cells. Overall, AINU coupled with super-resolution microscopy of nuclear structures provides a robust tool for the precise detection of cellular heterogeneity, with considerable potential for advancing diagnostics and therapies in regenerative medicine, virology and cancer biology.

Design of Auto-Adaptive Drug Delivery System for Effective Delivery of Peptide Drugs to Overcoming Mucus and Epithelial Barriers.

Oral administration of peptide represents a promising delivery route, however, it is hindered by the harsh gastrointestinal environment, leading to low in vivo absorption. In this study, auto-adaptive protein corona-AT 1002-cationic liposomes (Pc-AT-CLs) are constructed with the characteristic of hydrophilic and electrically neutral surface properties for the encapsulation of liraglutide. BSA protein corona is used to coat AT-CLs reducing the adherence of mucus, and may fall off after penetrating the mucus layer. Transmucus transport experiment demonstrated that the mucus penetration amount of Pc-AT-CLs are 1.45 times that of AT-CLs. After penetrating the mucus layer, AT-CLs complete transmembrane transport by the dual action of AT and cationic surface properties. Transmembrane transport experiment demonstrated that the apparent permeability coefficient (Papp) of AT-CLs is 2.03 times that of CLs. In vivo tests demonstrated that Pc-AT-CLs exhibited a significant hypoglycemic effect and enhanced the relative bioavailability comparing to free liraglutide. Pc-AT-CLs protect liraglutide from degradation, facilitate its absorption, and ultimately improve its oral bioavailability.

Chinese expert consensus on management of antifungal-resistant dermatophytoses (2024 edition).

Antifungal-resistant dermatophytes (ARD) infection is a hotspot issue in clinical microbiology and the dermatology field. Trichophyton indotineae as the dominant species of dermatophyte with terbinafine-resistance or multidrug resistance, is easy to be missed detection clinically, which brings severe challenges to diagnosis and treatment. ARD infection cases have emerged in China, and it predicts a risk of transmission among human. Based on the existing medical evidence and research data, the Mycology Group of Combination of Traditional and Western Medicine Dermatology and Chinese Antifungal⁃Resistant Dermatophytoses Expert Consensus Group organized experts to make consensus on the management of the infection. Here, the consensus formulated diagnosis and treatment recommendations, to raise attention to dermatophytes drug resistance problem, and expect to provide reference information for the clinical diagnosis, treatment, prevention and control.

Risk Prediction Models for Gastric Cancer: A Scoping Review.

Background: Gastric cancer is a significant contributor to the global cancer burden. Risk prediction models aim to estimate future risk based on current and past information, and can be utilized for risk stratification in population screening programs for gastric cancer. This review aims to explore the research design of existing models, as well as the methods, variables, and performance of model construction. Methods: Six databases were searched through to November 4, 2023 to identify appropriate studies. PRISMA extension for scoping reviews and the Arksey and O'Malley framework were followed. Data sources included PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP, focusing on gastric cancer risk prediction model studies. Results: A total of 29 articles met the inclusion criteria, from which 28 original risk prediction models were identified that met the analysis criteria. The risk prediction model is screened, and the data extracted includes research characteristics, prediction variables selection, model construction methods and evaluation indicators. The area under the curve (AUC) of the models ranged from 0.560 to 0.989, while the C-statistics varied between 0.684 and 0.940. The number of predictor variables is mainly concentrated between 5 to 11. The top 5 most frequently included variables were age, helicobacter pylori (Hp), precancerous lesion, pepsinogen (PG), sex, and smoking. Age and Hp were the most consistently included variables. Conclusion: This review enhances understanding of current gastric cancer risk prediction research and its future directions. The findings provide a strong scientific basis and technical support for developing more accurate gastric cancer risk models. We expect that these conclusions will point the way for future research and clinical practice in this area to assist in the early prevention and treatment of gastric cancer.

Symptom network connectivity and interaction among people with HIV in China: secondary analysis based on a cross-sectional survey.

BACKGROUND: The symptom burden in people with HIV (PWH) is considerable. Nonetheless, the identification of a central symptom, or bridge symptom, among the myriad symptoms experienced by PWH remains unclear. This study seeks to establish networks of symptom experiences within different clusters and investigate the relationships and interconnectedness between these symptoms in PWH. METHODS: A multicenter, cross-sectional descriptive design was carried out in China over two periods: November 2021 to January 2022 and April 2022 to May 2022. A total of 711 PWH completed online questionnaires, providing information on demographics and the 27-item Self-Report Symptom Scale. The symptom network was analyzed using Network/Graph theory, allowing for the exploration of connections between physical, cognitive, and psychological symptoms. This analysis was based on data from a subset of 493 individuals out of the total 711 PWH. RESULTS: A total of 493 PWH who exhibited symptoms out of a total of 711 PWH were analyzed. The average number of symptoms reported was 5.367. The most prevalent symptom was sleep disturbance (37.98%). In the node centrality analysis, a cognitive symptom, 'becoming confusing', emerged as the most central symptom with significant values for node centrality (strength = 1.437, betweenness = 140.000, closeness = 0.003). Fever was identified as the bridge symptom with the highest bridge strength (0.547), bridge closeness (0.053), lower bridge betweenness (23.000), and bridge expectedinfluence (0.285). Overall, our network displayed good accuracy and stability. CONCLUSION: Early identification and assessment of the central or bridge symptoms should be emphasized in clinical practice. According to the findings from network analysis, healthcare providers should proactively explore intervention strategies or bundle care to alleviate the burden of symptoms and enable anticipatory care.

Pulmonary artery smooth muscle cell pyroptosis promotes the proliferation of PASMCs by paracrine IL­1ß and IL­18 in monocrotaline­induced pulmonary arterial hypertensive rats.

Pulmonary arterial hypertension (PAH) is a common vascular disease, and pulmonary vascular remodeling is a pivotal pathophysiological mechanism of PAH. Major pathological changes of pulmonary arterial remodeling, including proliferation, hypertrophy and enhanced secretory activity, can occur in pulmonary artery smooth muscle cells (PASMCs). Multiple active factors and cytokines play important roles in PAH. However, the regulatory mechanisms of the active factors and cytokines in PAH remain unclear. The present study aimed to reveal the crucial role of PASMC pyroptosis in PAH and to elucidate the intrinsic mechanisms. To establish the PAH rat models, Sprague-Dawley rats were injected intraperitoneally with monocrotaline (MCT) at a dose of 60 mg/kg. The expression of proteins and interleukins were detected by western blotting and ELISA assay. The results indicated that the pyroptosis of PASMCs is significantly increased in MCT-induced PAH rats. Notably, pyroptotic PASMCs can secret IL-1ß and IL-18 to promote the proliferation of PASMCs. On this basis, inhibiting the secretion of IL-1ß and IL-18 can markedly inhibit PASMC proliferation. Collectively, the findings of the present study indicate a critical role for PASMC pyroptosis in MCT-induced PAH rats, prompting a new preventive and therapeutic strategy for PAH.

Development of quantum dot-based immunochromatographic strip for detection of antibodies against ASFV pp62.

ASFV is the only known double-stranded insect-borne DNA virus, which can rapidly infect domestic pigs and wild boars with ticks as transmission medium. Since it was first discovered in 1921, it quickly spread to all parts of the world and brought huge economic losses to the pig industry all over the world. At present, there is still no safe and effective vaccine for ASFV. Here, we developed a quantum-dot labeled antibody test strip for the detection of antibodies against ASFV pp62. The pp62 protein was labeled with quantum dots, and the antibody test strip was developed uses it in a detection mode of labeled antigen-SPA interceptor-monoclonal antibody quality control. The test strip showed high sensitivity, the positive detection limit of the strip was 1: 106 by continuous multiple dilution using the positive standard serum of ASFV antibody as reference. The test strip showed good specificity, and there was no cross reaction with other swine diseases virus (PCV2, PRRSV, CSFV, PPV). Using the detection results of commercialized kit for African swine fever virus as reference, 80 ASFV antibody negative serum and 4 different ASFV antibody positive serum were detected using the ASFV pp62 quantum-dot labeled antibody test strip. The results were consistent with the commercial kit. This study provides a new detection method for the prevention and control of African swine fever.

A highly sensitive electrochemical immunosensor based on rGO-PEI-Ag nanocomposites for the detection of tilmicosin.

A label-free electrochemical immunosensor was developed to rapidly detect tilmicosin (TMC) residues in pork and milk. The immunosensor was constructed by immobilizing a high-affinity monoclonal antibody against TMC on an rGO-PEI-Ag nanocomposite-modified electrode. The rGO-PEI-Ag nanocomposites were prepared by mixing polyethyleneimine (PEI) modified reduced graphene oxide (rGO) with AgNO3 solution. The prepared rGO-PEI-Ag nanocomposites showed good redox activity and conductivity, as characterized by ultraviolet-visible spectroscopy (UV-Vis), transmission electron microscopy (TEM), and X-ray diffraction (XRD). During the preparation process, staphylococcal protein A (SPA) was added to targetedly bind the Fc segment of the monoclonal antibody. The immunosensor showed a low detection limit (LOD) of 0.0013 ng/mL, a linear range of 0.01-100 ng/mL, and recoveries ranging from 92.77 to 100.02% in pork and 92.26-101.23% in milk. Furthermore, the immunosensor exhibited good stability, reproducibility, and specificity in detecting TMC in pork and milk real samples.

Fluorescence immunochromatographic detection of antibodies to the p72 protein of African swine fever virus.

The African swine fever virus (ASFV), a highly contagious pathogen responsible for African swine fever (ASF), causes significant economic losses in the global pork industry. Due to its large and complex structure, ASFV remains refractory to commercial vaccine development, necessitating the creation of rapid, sensitive, and specific diagnostic tools for disease control. In this study, quantum dots were conjugated to ASFV p72 protein to establish a fluorescent immunochromatographic assay for detecting ASFV-specific antibodies. The assay test strips contained four adjacent pads arranged sequentially: a sample-application pad, a pad containing mobile antigen-probe conjugate, a nitrocellulose readout pad featuring a test line containing immobilised staphylococcal protein A and a control line containing immobilised monoclonal antibodies against the ASFV p72 protein, and an absorbent pad driving the directional flow of liquid via capillary action. The resulting fluorescence immunochromatographic assay demonstrated highly sensitive and specific ASFV antibody detection in under 15 min. Specificity testing showed no cross-reactivity with serum antibodies against other viruses and sensitivity surpassing that of commercial ASFV antibody colloidal gold immunochromatographic test strips. This novel approach offers rapid detection, excellent specificity, and high sensitivity, and supports the future development of fluorescent immunochromatographic test strips for ASFV antibody detection.

Development and validation of a prediction nomogram for depressive symptoms in gout patients.

Objective: The objective of the study was to explore the risk factors for depressive symptoms in patients with gout and to construct and validate a nomogram model. Methods: From October 2022 to July 2023, a total of 469 gout patients from a Class iii Grade A hospital in Northeast China were selected as the research objects by the convenience sampling method. The General Information Questionnaire, Self-Rating Depression Scale, Gout Knowledge Questionnaire, Self-Efficacy Scale for Managing Chronic Disease (SEMCD), and Social Support Rating Scale were used to conduct the survey. Univariate and multivariate logistic regression analyses were used to establish a depression risk prediction model and construct a nomogram. The bootstrap method was used to verify the performance of the model. Results: The detection rate of depressive symptoms in gout patients was 25.16%. Binary logistic regression analysis showed that male, the number of tophi, acute attack period, lack of knowledge about gout, the number of attacks in the past year, and the duration of the last attack were independent risk factors for post-gout depression. Female, interictal period, chronic arthritis period, knowledge of gout, and social support were protective factors for post-gout depression (p < 0.05). The calibration (χ2 = 11.348, p = 0.183, p > 0.05) and discrimination (AUC = 0.858, 95%CI: 0.818-0.897) of the nomogram model for depressive symptoms in gout patients were good. Conclusion: The prevalence of depressive symptoms in gout patients is high, and it is affected by gender, current disease stage, number of tophi, gout knowledge level, the number of attacks in the past year, and the last attack days. The nomogram model is scientific and practical for predicting the occurrence of depressive symptoms in gout patients.

A Path Analysis on Quality of Life of People With HIV: Validation and Refinement of the Self-Regulatory HIV/AIDS Symptom Management Model.

ABSTRACT: This study explored the path affecting the quality of life (QOL) of people with HIV in China and clarified the applicability and interpretability of the Self-Regulatory HIV/AIDS Symptom Management Model. We conducted a cross-sectional survey in nine regions of China and collected information about demographics, symptom experience, social support, perceived symptom manageability, self-efficacy, and QOL. A total of 711 patients participated in this survey. After four rounds of path analysis were conducted, the most fit indices met the standards (χ 2 /df = 2.633, Root Mean Square Error of Approximation = 0.081, Goodness-of-Fit Index/Adjusted Goodness-of-Fit Index/Comparative Fit Index/Incremental Fit Index/Tucker-Lewis Coefficient > 0.9), and the relationships between variables were statistically significant ( p < .05). Among all the pathways, social support had the most significant impact on the QOL, with a total path coefficient of 0.665. Symptom experience, as a negative factor, had a total effect value of -0.361. This study showed how all the factors influencing QOL were interconnected, serving as a crucial theoretical foundation for intervention strategies in future clinical practice.

Nebulized milk exosomes loaded with siTGF-ß1 ameliorate pulmonary fibrosis by inhibiting EMT pathway and enhancing collagen permeability.

Pulmonary Fibrosis (PF) is a fatal disease in the interstitial lung associated with high mortality, morbidity, and poor prognosis. Transforming growth factor-ß1 (TGF-ß1) is a fibroblast-activating protein that promotes fibrous diseases. Herein, an inhalable system was first developed using milk exosomes (M-Exos) encapsulating siRNA against TGF-ß1 (MsiTGF-ß1), and their therapeutic potential for bleomycin (BLM)-induced PF was investigated. M-siTGF-ß1 was introduced into the lungs of mice with PF through nebulization. The collagen penetration effect and lysosomal escape ability were verified in vitro. Inhaled MsiTGF-ß1 notably alleviated inflammatory infiltration, attenuated extracellular matrix (ECM) deposition, and increased the survival rate of PF mice by 4.7-fold. M-siTGF-ß1 protected lung tissue from BLM toxicity by efficiently delivering specific siRNA to the lungs, leading to TGF-ß1 mRNA silencing and epithelial mesenchymal transition pathway inhibition. Therefore, M-siTGF-ß1 offers a promising avenue for therapeutic intervention in fibrosis-related disorders.

Facile Polymer of Intrinsic Microporosity-Modified Separator with Quite-Low Loading for Enhanced-Performance Lithium Metal Batteries.

Lithium metal batteries (LMBs) using Li metals as anodes are conspicuous for high-energy-density energy-storage devices. However, the nonuniform deposition of Li+ ions leading to uncontrolled Li dendrite growth, which adversely affects electrochemical performance and safety, has impeded the practical application of lithium metal batteries (LMBs). Herein, PIM-1, a type of polymer of intrinsic microporosity (PIM), was utilized for surface engineering of conventional polyolefin separators. This process resulted in the formation of a continuous and homogeneous coating across the separator, facilitating uniform Li+ ion flux and deposition, and consequently reducing dendrite formation. Notably, the loading mass was quite low (0.6 g/m2) through the convenient dipping method. The intrinsic micropores and polar groups (cyano and ether groups) of PIM-1 greatly improved the electrolyte wettability and ionic conductivity of commercial polypropylene (PP) separators. And the PIM-1 coating guided Li+ flux to achieve uniform Li deposition. Moreover, the polar groups (cyano and ether groups) of PIM-1 are beneficial to the desolvation of Li+-solvates. As a result, the synergetic effect of uniform Li+ flux, desolvation, and enhanced mechanical strength of separators brings about considerable improvement in cycle life, suppression of Li dendrite, and Coulombic efficiency for LMBs. As this surface engineering is simple, relatively low-cost, and effective, this work provides fresh insights into separators for LMBs.

A new classification for emergency critically ill patients and analysis of their adverse events during intrahospital transport: A cluster analysis.

BACKGROUND: Critical patients may experience various adverse events during transportation within hospitals. Therefore, quickly evaluating and classifying patients before transporting them from the emergency department and focusing on managing high-risk patients are critical. At present, no unified classification method exists; all the current approaches are subjective. AIMS: To ensure transportation safety, we conducted a cluster analysis of critically ill patients transferred from the emergency department to the intensive care unit. STUDY DESIGN: Single-centre cohort study. This study was conducted at a comprehensive first-class teaching hospital in Beijing. Convenience sampling and continuous enrolment were employed. We collected data from 1 January 2019, to 31 December 2021. All patients were transferred from the emergency department to the intensive care unit, and cluster analysis was conducted using five variables. RESULTS: A total of 584 patients were grouped into three clusters. Cluster 1 (high systolic blood pressure group) included 208 (35.6%) patients. Cluster 2 (high heart rate and low blood oxygen group) included 55 (9.4%) patients. Cluster 3 (normal group) included the remaining 321 (55%) patients. The oxygen saturation levels of all the patients were lower after transport, and the proportion of adverse events (61.8%) was the highest in Cluster 2 (p < .05). CONCLUSIONS: This study utilized data on five important vital signs from a cluster analysis to explore possible patient classifications and provide a reference for ensuring transportation safety. RELEVANCE TO CLINICAL PRACTICE: Before transferring patients, we should classify them and implement targeted care. Changes in blood oxygen levels in all patients should be considered, with a focus on the occurrence of adverse events during transportation among patients with high heart rates and low blood oxygen levels.

Effectiveness of a self-determination theory-based intervention for nursing home residents with depression: A randomized controlled trial.

Objective and rationale: The prevalence of depression among older adults residing in nursing homes has risen. While physical activity interventions based on the self-determination theory have been shown to reduce depressive symptoms among students and middle-aged adults, research in nursing home residents is scarce. This study aimed to investigate whether physical activity can alleviate depressive symptoms in nursing home residents over an extended period. Methods: Between September 2020 and August 2021, 46 nursing home residents in Shenyang were randomly assigned to either a control group (n = 23) or an intervention group (n = 23). The control group followed a standard physical activity programme, whereas the intervention group underwent a programme based on self-determination theory. Both groups were monitored for 24 weeks post-intervention. Depression scores were assessed using the Geriatric Depression Scale, sociodemographic data collected via a self-designed questionnaire, cognitive function evaluated using the Mini-Mental State Examination, and weight and body fat measured using the Omron KARADA Scan Body Composition and Scale. Results: Depression scores were measured at five time points: baseline (T0), weeks 12 (T1), and 24 (T2) of the intervention, and weeks 12 (T3) and 24 (T4) during follow-up. Both groups exhibited a trend of decline by more than five points. The intervention group demonstrated more favourable pre-to-post changes in depression scores compared to the control group. Conclusions: A physical activity intervention based on self-determination conceptual framework has been proven to be effective for nursing home residents with depressive symptoms, also aiding in the maintenance of their physical activity levels. This study offers a theoretical foundation for the development of intervention programmes by researchers and identifies potential intervention strategies for caregivers in nursing homes. Trial Registration: The Chinese Clinical Trial Registry (ChiCTR2200060598) (June 5, 2022).

Lipid-lowering effect and oral transport characteristics study of curculigoside.

Introduction: The incidence of metabolic disorders during pregnancy is increasing year by year, with diseases including hypertension and hyperlipidemia. Statins are the primary drugs for treating hyperlipidemia or atherosclerosis, yet some patients remain unresponsive to them, and pregnant women are prohibited from taking statins. Curculigoside is the major biologically active natural product present in Curculigo orchioides. Methods: In this study, A high-fat mice model was developed to study the lipid-lowering effect of curculigoside. Using intestinal Caco-2 cell monolayer, the curculigoside transport properties at two temperatures and possible transporters were systemically studied. Results: Curculigoside at concentrations used during the experiments have no toxic effect to Caco-2 cells. The curculigoside transfer from the apical to the basolateral side was strongly influenced by temperature. P-glycoprotein, breast cancer resistance protein, and efflux transporters are crucial components of the human intestinal cell line Caco-2. The curculigoside can significantly affect the contents of total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol in mice. Discussion: The transport properties and potential mechanism of curculigoside offer valuable insights for the design of development of hypolipidemic drugs like anti-atherosclerotic drugs and also be helpful to the further study of the pharmacological activity of curculigoside.

A novel fluorescence immunoassay for the quantitative detection of florfenicol in animal-derived foods based on ZnCdSe/ZnS quantum dot labelled antibody.

Florfenicol (F), an antimicrobial agent exclusive to veterinary use within the chloramphenicol class, is extensively applied as a broad-spectrum remedy for animal diseases. Despite its efficacy, concerns arise over potential deleterious residues in animal-derived edibles, posing threats to human health. This study pioneers an innovative approach, introducing a quantum dot fluorescence-based immunoassay (FLISA) for the meticulous detection of F residues in animal-derived foods and feeds. This method demonstrates heightened sensitivity, with a detection limit of 0.3 ng/mL and a quantitative detection range of 0.6-30.4 ng/mL. Method validation, applied to diverse food sources, yields recoveries from 90.4 % to 109.7 %, featuring RSDs within 1.3 % to 8.7 %, the results showed high consistency with the national standard HPLC-MS/MS detection method. These findings underscore the method's accuracy and precision, positioning it as a promising tool for swift and reliable F residue detection, with substantial implications for fortifying food safety monitoring.

Efficient delivery of the herbicide quinclorac by nanosuspension for enhancing deposition, uptake and herbicidal activity.

BACKGROUND: The presence of barnyardgrass poses a threat to global food security by reducing rice yields. Currently, herbicides are primarily applied for weed management. However, the effectiveness of herbicide deposition and uptake on barnyardgrass is limited as a consequence of the high wax content on leaves, low water solubility and extreme lipophilicity of herbicides. Therefore, it is imperative to develop novel formulations for efficient delivery of herbicides to improve herbicidal activity and reduce dosage. RESULTS: We successfully prepared nanosuspension(s) (NS) of quinclorac through the wet media milling technique. This NS demonstrates excellent physical stability and maintains nanoscale during dose transfer. The deposition concentration and uptake concentration of NS on barnyardgrass were 3.84-4.47- and 2.11-2.58-fold greater than those traditional formulations, respectively. Moreover, the NS exhibited enhanced herbicidal activity against barnyardgrass at half the dosage required by conventional formulations without compromising rice safety. CONCLUSIONS: These findings suggest that NS can effectively facilitate the delivery of hydrophobic and poorly water-soluble herbicide active ingredients, thereby enhancing their deposition, uptake and bioactivity. This study expands the potential application of NS in pesticide delivery, which can provide valuable support for optimizing pesticide utilization, improving economic efficiency and mitigating environmental risks. © 2024 Society of Chemical Industry.