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In the long history of the feudal society of China, Kaifeng played a vital role. During the Northern Song Dynasty, Kaifeng became a worldwide metropolis. The important reason was that the Grand Canal, which was excavated during the Sui Dynasty, became the main transportation artery for the political and military center of the north and the economic center of the south. Furthermore, Kaifeng was located at the center of the Grand Canal, which made it the capital of the later Northern Song Dynasty. The Northern Song Dynasty was called “the canal-centered era.” The development of the canal caused a series of major changes in the society of the Northern Song Dynasty that were different from the previous ones, which directly led to the transportation revolution, and in turn, promoted the commercial revolution and the urbanization of Kaifeng. The development of commerce contributed to the agricultural and money revolutions. After the Northern Song Dynasty, the political center moved to the south. During the Yuan Dynasty, the excavation of the Grand Canal made it so that water transport did not have to pass through the Central Plains. The relocation of the political center and the change in the canal route made Kaifeng lose the value of connecting the north and south, resulting in the long-time fall of the Bianhe River. Kaifeng, which had prospered for more than 100 years, declined gradually, and by the end of the Qing Dynasty, it became a common town in the Central Plains. In ancient China, the rise and fall of cities and regions were closely related to the canal, and the relationship between Kaifeng and the Grand Canal was typical. The history may provide some inspiration for the increasingly severe urban and regional sustainable development issues in contemporary times.

Extracellular vesicles (EVs) have emerged as a promising strategy for treating a wide spectrum of pathologies, as they can deliver their cargo to recipient cells and regulate the signaling pathway of these cells to modulate their fate. Despite the great potential of EVs in clinical applications, their low yield and the challenges of cargo loading remain significant obstacles, hindering their transition from experimental research to clinical practice. Therefore, promoting EV release and enhancing EV cargo-loading are promising fields with substantial research potential and broad application prospects. In this review, we summarize the clinical applications of EVs, the methods and technologies for their large-scale production, engineering, and modification, as well as the challenges that must be addressed during their development. We also discuss the future perspectives of this exciting field of research to facilitate its transformation from bench to clinical reality.

Distal radius fractures (DRFs) are among the most commonly encountered types of fractures in clinical practice. Conventional treatment methods include surgical intervention and traditional small splint fixation following manual reduction based on Traditional Chinese Medicine (TCM). However, these conventional small splints do not adequately meet the current demands for personalized and precision medicine. To address this issue, this study proposes a novel personalized distal radius fixation splint utilizing 3D printing technology. Firstly, a customized splint model that conforms to the patient’s fracture surface is established through three-dimensional scanning of the fracture site. Subsequently, the Tyson polygon structure and Grasshopper software are employed to parameterize the hollowing-out process of the splint, resulting in a personalized splint with a three-dimensional hollow-out structure. During the static analysis of the 3D hollow splint model, forces of 100 N and 150 N were applied. Under a force of 100 N, the maximum deformation of the splint was measured at 0.52 mm with a maximum strain value of 0.02 mm/mm and a maximum equivalent stress level of 19.415 MPa. However, when subjected to a force of 150 N, the maximum deformation increased to 0.78 mm with a corresponding increase in maximum strain value to 0.03 mm/mm and an elevated maximum equivalent stress level measuring 29.122 MPa. Additionally, this study also examined the flexural strength and weight of the 3D-printed splint in comparison to the conventional small splint. The test results demonstrate that, under pressure of 150 N, the radial offset of the 3D printed splint is reduced by 1.7 mm compared to that of the traditional small splint, with a corresponding decrease in stress by 0.01 MPa as well. In terms of weight, a set of 3D printed splints weighs 89 g while a set of conventional splints weighs 102 g, resulting in a significant reduction of 13 g for the 3D printed splints compared to their traditional counterparts. These findings indicate clear advantages associated with utilizing 3D-printed splints in terms of minimizing offset and reducing overall weight.

The improper use of antibiotics accelerates the emergence of resistance via environmental selection pressures, jeopardizing public health and ecosystems by promoting the worldwide dissemination of antibiotic resistance genes (ARGs). Reservoirs, as crucial water supplies, have been recognized as primary reservoirs of ARGs, particularly those that originate from the Yellow River, necessitating further investigation. This study analyzed 9 ARGs, 3 mobile genetic elements (MGEs), 16 antibiotics, and 10 heavy metals in water/sediments from three reservoirs originating from the Yellow River in Henan Province, China. The findings indicated that antibiotic concentrations in water exceeded those in sediment, with quinolones detected at 100% frequency (5.47-116.03 ng/L) and enrofloxacin predominating (3.36-107.71 ng/L). Redundancy analysis revealed that MGEs exert greater control over ARG dissemination than antibiotics, with intI1 showing strong positive correlations with sul1 ( < 0.05). Conversely, heavy metals (Zn, As, Cd) suppress ARG proliferation through negative selection pressures. A network study indicated Mycobacterium, Pseudarthrobacter, and Massilia as critical hosts for , , and , respectively. Of the three reservoirs, Jian'gang Reservoir, driven by synergistic effects of unique microbial ecology, water self-purification capacity, and flow dynamics, exhibited the best removal effectiveness of ARGs from input to outflow, with 71.75% in the water and 97.91% in the sediment. These findings provide critical insights into the prevalence, migration, and self-purification processes of ARGs in reservoirs originating from the Yellow River, integrating environmental factors and microbial data to clarify the complex dynamics affecting ARG behavior and inform targeted pollution control strategies.

Background Cancer screening provides the opportunity to detect cancer early, ideally before symptom onset and metastasis, and offers an increased opportunity for a better prognosis. The ideal biomarkers for cancer screening should discriminate individuals who have not developed invasive cancer yet but are destined to do so from healthy subjects. However, most cancers lack effective screening recommendations. Therefore, further studies on novel screening strategies are urgently required. Methods We used a simple suboptimal inoculation melanoma mouse model to obtain ‘pre-diagnostic samples’ of mice with macroscopic melanomas. High-throughput sequencing and bioinformatic analysis were employed to identify differentially expressed RNAs in platelet signatures of mice injected with a suboptimal number of melanoma cells (eDEGs) compared with mice with macroscopic melanomas and negative controls. Moreover, 36 genes selected from the eDEGs via bioinformatics analysis were verified in a mouse validation cohort via quantitative real-time PCR. LASSO regression was utilized to generate the prediction models with gene expression signatures as the best predictors for occult tumor progression in mice. Results These RNAs identified from eDEGs of mice injected with a suboptimal number of cancer cells were strongly enriched in pathways related to immune response and regulation. The prediction models generated by 36 gene qPCR verification data showed great diagnostic efficacy and predictive value in our murine validation cohort, and could discriminate mice with occult tumors from control group (area under curve (AUC) of 0.935 (training data) and 0.912 (testing data)) (gene signature including Cd19 , Cdkn1a , S100a9 , Tap1 , and Tnfrsf1b ) and also from macroscopic tumor group (AUC of 0.920 (training data) and 0.936 (testing data)) (gene signature including Ccr7 , Cd4 , Kmt2d , and Ly6e ). Conclusions Our proof-of-concept study provides evidence for potential clinical relevance of blood platelets as a platform for liquid biopsy-based early detection of cancer.

Abstract Cancer screening provides the opportunity to detect cancer early, ideally before symptom onset and metastasis, and offers an increased opportunity for a better prognosis. The ideal biomarkers for cancer screening should discriminate individuals who have not developed invasive cancer yet but are destined to do so from healthy subjects1,2. However, most cancers lack effective screening recommendations. Therefore, further studies on novel screening strategies are urgently required. Here, our proof-of-concept study shows blood platelets could be a platform for liquid biopsy-based early cancer detection. By using a simple suboptimal inoculation melanoma mouse model, we identified differentially expressed RNAs in platelet signatures of mice injected with a suboptimal number of cancer cells (eDEGs) compared with mice with macroscopic melanomas and negative controls. These RNAs were strongly enriched in pathways related to immune response and regulation. Moreover, 36 genes selected from the eDEGs via bioinformatics analyses were verified in a mouse validation cohort via quantitative real-time PCR. LASSO regression was employed to generate the prediction models with gene expression signatures as the best predictors for occult tumor progression in mice. The prediction models showed great diagnostic efficacy and predictive value in our murine validation cohort, and could discriminate mice with occult tumors from control group (area under curve (AUC) of 0.935 (training data) and 0.912 (testing data)) (gene signature including Cd19, Cdkn1a, S100a9, Tap1, and Tnfrsf1b) and also from macroscopic tumor group (AUC of 0.920 (training data) and 0.936 (testing data)) (gene signature including Ccr7, Cd4, Kmt2d, and Ly6e). Our study provides evidence for potential clinical relevance of blood platelets as a platform for liquid biopsy-based early detection of cancer. Furthermore, the eDEGs are mostly immune-related, not tumor-specific. Hence it is possible platelets-based liquid biopsy could enable simultaneous early detection of cancers from multiple organs of origin3. It is also feasible to determine the origin of cancer since platelet profiles are influenced by tumor type3. Competing Interest Statement J.R. reports holding a pending patent (patent No. 202011118562.8) for the animal model used in this study and the application for this animal model in cancer research. J.R. partially funded this study. Y.Y., J.R. and S.M. are inventors of this patent.

This paper investigates the associations between institution trust and public response to the COVID-19 outbreak. An Internet-based, cross-sectional survey was administered on January 29, 2020 to the epicenter Hubei province, China. A total of 4,393 adults who ≥18 years of age and residing or working in the province of Hubei were included in the study. The majority of the participants expressed a higher level of trust in the information and preventive instructions provided by the central government than by the local government. Being under quarantine (adjusted odds ratio (OR) = 2.35, 95% confidence interval (CI) 1.80–3.08) and having a high institutional trust score (OR = 2.23, 95% CI 1.96–2.53) were both strong and significant determinants of higher preventive behavior scores. The majority of study participants (85.7%, n = 3,640) reported that they would seek hospital treatment if they suspected themselves to have been infected with COVID-19. Few of the participants from Wuhan (16.6%, n = 475) and those participants who were under quarantine (13.8%, n = 550) expressed an unwillingness to seek hospital treatment. Institutional trust is an important factor influencing adequate preventive behavior and seeking formal medical care during an outbreak.