Pure drug nanomedicines (PDNs) encompass active pharmaceutical ingredients (APIs), including macromolecules, biological compounds, and functional components. They overcome research barriers and conversion thresholds associated with nanocarriers, offering advantages such as high drug loading capacity, synergistic treatment effects, and environmentally friendly production methods. This review provides a comprehensive overview of the latest advancements in PDNs, focusing on their essential components, design theories, and manufacturing techniques. The physicochemical properties and in vivo behaviors of PDNs are thoroughly analyzed to gain an in-depth understanding of their systematic characteristics. The review introduces currently approved PDN products and further explores the opportunities and challenges in expanding their depth and breadth of application. Drug nanocrystals, drug-drug cocrystals (DDCs), antibody-drug conjugates (ADCs), and nanobodies represent the successful commercialization and widespread utilization of PDNs across various disease domains. Self-assembled pure drug nanoparticles (SAPDNPs), a next-generation product, still require extensive translational research. Challenges persist in transitioning from laboratory-scale production to mass manufacturing and overcoming the conversion threshold from laboratory findings to clinical applications.
Nanomedicine ; Humans ; Nanoparticles/chemistry* ; Pharmaceutical Preparations/chemistry* ; Animals ; Drug Carriers/chemistry*

Objective:To explore the relationship between trait mindfulness and nomophobia in middle school students.Methods:A total of 942 middle school students were selected to use the Mindfulness Attention Awareness Scale and the Nomophobia Scale for Chinese for two data collection intervals of 12 months(T1 and T2,respective-ly).Results:The MAAS scores were higher at T1 than at T2(P＜0.001).The simultaneous(r=-0.11,-0.21,Ps＜0.01)and sequential(r=-0.14,-0.15,Ps＜0.001)correlations between MAAS scores and NSC scores were significant.The MAAS scores at T1 negatively predicted the NSC scores at T2(β=-0.09),and the NSC scores at T1 also negatively predicted the MAAS scores at T2(β=-0.10).Conclusion:It suggests that trait mind-fulness and nomophobia could predict each other in middle school students.

Objective:To explore the relationship between trait mindfulness and nomophobia in middle school students.Methods:A total of 942 middle school students were selected to use the Mindfulness Attention Awareness Scale and the Nomophobia Scale for Chinese for two data collection intervals of 12 months(T1 and T2,respective-ly).Results:The MAAS scores were higher at T1 than at T2(P＜0.001).The simultaneous(r=-0.11,-0.21,Ps＜0.01)and sequential(r=-0.14,-0.15,Ps＜0.001)correlations between MAAS scores and NSC scores were significant.The MAAS scores at T1 negatively predicted the NSC scores at T2(β=-0.09),and the NSC scores at T1 also negatively predicted the MAAS scores at T2(β=-0.10).Conclusion:It suggests that trait mind-fulness and nomophobia could predict each other in middle school students.

In recent years, there has been an increasing emphasis on exploring innovative drug delivery approaches due to the limitations of conventional therapeutic strategies, such as inadequate drug targeting, insufficient therapeutic efficacy, and significant adverse effects. Nanomedicines have emerged as a promising solution with notable advantages, including extended drug circulation, targeted delivery, and improved bioavailability, potentially enhancing the clinical treatment of various diseases. Natural products/materials-derived nanomedicines, characterized by their natural therapeutic efficacy, superior biocompatibility, and safety profile, play a crucial role in nanomedicine-based treatments. This review provides a comprehensive overview of currently approved natural products-derived nanomedicines, emphasizing the essential properties of natural products-derived drug carriers, their applications in clinical diagnosis and treatment, and the current therapeutic potential and challenges. The aim is to offer guidance for the application and further development of these innovative therapeutic approaches.
Animals ; Humans ; Biological Products/chemistry* ; Drug Carriers/chemistry* ; Drug Delivery Systems ; Nanomedicine/methods*

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

Background Working night shifts is common in the secondary industry workers, and usually with long weekly working hours. They are prone to occupational stress and sleep disorders, which may seriously affect their physical and mental health and work efficiency. Objective To investigate the current situation and influencing factors of occupational stress and sleep disorders among three key occupational groups in Guizhou Province, and provide a basis for formulating intervention measures. Methods A stratified random cluster sampling method was used to select 11552 workers as the research subjects from three occupational groups in Guizhou Province. A survey on occupational stress and sleep disorders was conducted using the National Key Population Occupational Health Literacy Monitoring Survey Personal Questionnaire. Results A total of 9956 valid questionnaires were recovered (86.18%). The positive rates of occupational stress and sleep disorders among the three key occupational groups in Guizhou Province were 22.6% and 40.6%, respectively. No differences were found among those by individual characteristics (P>0.05). There was a statistically significant difference in reporting sleep disorders among the occupational groups by industry (P<0.05), with the highest rate observed in the production and supply industries of electricity, heat, gas, and water (47.9%). The results of logistic regression analysis showed that company size, weekly working hours, sleep disorders, length of service, night shift, monthly income, and gender were all independent influencing factors of occupational stress in the target population (P <0.05); occupational stress, weekly working hours, marital status, industry, educational level, night shift, household type, monthly income, and age were all independent influencing factors for sleep disorders in the target population (P <0.05). Conclusion The positive rates of occupational stress and sleep disorders are high among the three key occupational groups in Guizhou Province, with sleep disorders particularly prominent in the production and supply industries of electricity, heat, gas, and water. Special attention should be paid to sleep disorders in individuals of the industry of the production and supply industries of electricity, heat, gas, and water, under 40 years old, widowed or divorced, with low education, low income, working night shifts, long weekly working hours, and experiencing occupational stress.

BACKGROUND: Tissue engineering is increasingly viewed as a promising avenue for functional cartilage reconstruction.However, chondrocyte dedifferentiation during in vitro culture remains an obstacle for clinical translation of tissue engineered cartilage. Re-differentiated induction have been employed to induce dedifferentiated chondrocytes back to their original phenotype. Regrettably, these strategies have been proven to be only moderately effective. METHODS: To explore underlying mechanism, RNA transcriptome sequencing was conducted on primary chondrocytes (P0), dedifferentiated chondrocytes (P5), and redifferentiated chondrocytes (redifferentiation-induction of P5, P5.R). Based on multiple bioinformatics analysis, LGR5 was identified as a target gene. Subsequently, stable cell lines with LGR5 knocking-down and overexpression were established using P0 chondrocytes. The phenotypic changes in P1 and P5 chondrocytes with either LGR5 knockdown or overexpression were assessed to ascertain the potential influence of LGR5 dysregulation on chondrocyte phenotypes. Regulatory mechanism was then investigated using bioinformatic analysis, protein–protein docking, immunofluorescence co-localization and immunoprecipitation. RESULTS: The current study found that dysregulation of LGR5 can significantly impact the dedifferentiated phenotypes of chondrocytes (P5). Upregulation of LGR5 appears to activate the PI3K/AKT signal via increasing the phosphorylation levels of AKT (p-AKT1). Moreover, the increase of p-AKT1 may stabilize b-catenin and enhance the intensity of Wnt/b-catenin signal, and help to restore the dedifferentated phenotype of chondrocytes. CONCLUSION LGR5 can modulate the phenotypes of chondrocytes in P5 passage through PI3K/AKT signaling pathway.

Objective To analyze the survival status, distribution characteristics and social security of newly diagnosed occupational pneumoconiosis patients in Guizhou Province from 2006 to 2021. Methods The newly diagnosed pneumoconiosis cases reported in Guizhou Province from 2006 to 2021 were collected from the “Occupational Diseases and Hazards Monitoring Information System” under “National Health Insurance Disease Prevention and Control Information System”. Telephone or face-to-face surveys were conducted to investigate these patients. Results A total of 12 413 newly diagnosed pneumoconiosis patients were reported in Guizhou Province from 2006 to 2021, with 11 192 cases included in the follow-up, and 10 631 cases were followed-up successfully. According to the follow-up study, 10 565 cases (accounting for 99.4%) were survived, and 66 cases (accounting for 0.6%) died. The number of pneumoconiosis showed an increasing trend followed by a sharp decline from 2006 to 2021, reaching its peak in 2016. The main industry of the newly pneumoconiosis cases was concentrated in the mining industry (accounting for 90.6%). The top three regions with surviving cases in the follow-up were Bijie City, Zunyi City, and Qiannan Prefecture, accounting for 34.0%, 25.4% and 12.0%, respectively. The main types of pneumoconiosis were coal workers' pneumoconiosis and silicosis, accounting for 67.1% and 30.8%, respectively. Most cases were in the age group of 50 to <60 years old, accounting for 59.1%, and the majority of the workers had worked in dusty environments for 5 to <25 years, accounting for 91.5%. In terms of social security, about 89.5% of cases were in the basic medical insurance for urban and rural residents which was the most popular social security. The employer's compensation rate was 67.7%, and the work-related injury insurance participation rate was 51.5%. Conclusion Pneumoconiosis cases in Guizhou Province exhibit significant regional disparities. It has a high concentration in the industry, a younger age profile, and limited social security coverage. It is necessary to strengthen the special management of dust and industry supervision in mining industry, intensify follow-up work for pneumoconiosis cases, reinforce the construction of pneumoconiosis rehabilitation station in key regions, and improve the quality of life of pneumoconiosis cases.

Objective To analyze the awareness of occupational health literacy (OHL) and its influencing factors among occupational population in key industries of Guizhou Province in 2022. Methods A total of 11 153 workers from eight key industries in 88 counties and districts of Guizhou Province was selected as the research subjects in 2022 using a stratified cluster sampling method. The OHL levels were surveyed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of the research subjects in 2022 was 57.7%. The OHL levels of basic knowledge of occupational health protection, healthy lifestyle and behavior, legal knowledge of occupational health, and basic skills of occupational health protection were 79.6%, 69.7%, 60.0%, and 42.0%, respectively. The overall OHL level of the tertiary industry population was higher than that of the secondary industry (59.8% vs 54.9%, P<0.01). The overall OHL levels of occupational population in the eight key industries from high to low were medical and health, electric heating water supply, environmental health, transportation, non-metallic mineral products, express delivery/take-out,education and coal mining, with the overall OHL level of 82.5%, 64.2%, 64.0%, 55.9%, 52.8%, 48.8%, 46.1% and 44.7%, respectively (P<0.01). The results of logistic regression analysis showed that gender, age, ethnicity, marital status, educational level, personal monthly income, length of employment, and industry category were independent influencing factors of OHL levels (all P<0.05). The OHL level of females was higher than that of males (P<0.01). The older age, higher educational level, and higher personal monthly income were associated with higher OHL levels in workers (all P<0.01). The OHL level of Han population was higher than that of Miao and other ethnic groups (all P<0.01). The OHL level of unmarried population was higher than that of married and widowed/divorced population (all P<0.01). The OHL level of workers with less than 3.0 years of employment was lower than that of workers with 3.0 - < 6.0 and 6.0 - < 10.0 years of employment (all P<0.01). The OHL level of workers in the tertiary industry was higher than that in the secondary industry (P<0.01). Conclusion The OHL level of occupational population in Guizhou Province needs to be further improved. Special attention should be paid to the industry of coal mining and selection, education, express delivery/take-out, and occupational population in ethnic minority areas, low educated, low-income, and newly employed occupational population.

Objective: To analyze the correlation between parental involvement and the formation of good eye use behavior in children,and to provide theoretical basis for more accurate prevention and control of myopia. Methods: A total of 2 726 children and their parents from 3 primary schools were selected from April to May 2021 by clustering sampling method. Children s ocular parameters, eye use behavior, general characteristics of parents, and parental involvement were collected through ocular measurements and questionnaires, respectively. Results: Parental involvement was associated with family economic, parental education level, and parental myopic status( P <0.05). Children s myopia risk was associated with parental involvement: lower myopia risk was associated with frequent parental involvement in behavioral management of child sleep and child outdoor activities( P <0.01). Parents who always/frequently participate in the management of children s eye behavior have an average daily screen time of <2 h ( OR= 1.95 , 95%CI =1.31-2.90), and daily outdoor activity time>2 h ( OR=0.78, 95%CI =0.65-0.93), daily sleep time >8 h ( OR= 0.52 , 95%CI =0.40-0.68), daily continuous reading and writing time <1 h ( OR=1.33, 95%CI =1.30-1.56), reading and writing The distance from the desktop > 30 cm ( OR=0.57, 95%CI =0.34-0.95) had a statistically significant effect ( P <0.05). Conclusion High parental involvement may help school age children develop good eye habits and reduce the risk of childhood myopia. Parental involvement is higher among those who had myopia themselves, and parental involvement is positively associated with total household income and parental literacy.