[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC₅₀) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.

Numerous c-mesenchymal-epithelial transition(c-MET)inhibitors have been reported as potential anticancer agents.However,most fail to enter clinical trials owing to poor efficacy or drug resistance.To date,the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed.In this study,we constructed the largest c-MET dataset,which included 2,278 molecules with different struc-tures,by inhibiting the half maximal inhibitory concentration(IC50)of kinase activity.No significant differences in drug-like properties were observed between active molecules(1,228)and inactive mol-ecules(1,050),including chemical space coverage,physicochemical properties,and absorption,distri-bution,metabolism,excretion,and toxicity(ADMET)profiles.The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding(t-SNE)high-dimensional data.Further clustering and chemical space networks(CSNs)analyses revealed commonly used scaffolds for c-MET inhibitors,such as M5,M7,and M8.Activity cliffs and structural alerts were used to reveal"dead ends"and"safe bets"for c-MET,as well as dominant structural fragments consisting of pyr-idazinones,triazoles,and pyrazines.Finally,the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules,including at least three aromatic het-erocycles,five aromatic nitrogen atoms,and eight nitrogen-oxygen atoms.Overall,our analyses revealed potential structure-activity relationship(SAR)patterns for c-MET inhibitors,which can inform the screening of new compounds and guide future optimization efforts.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

Background and aims Adeno-associated virus (AAV) is becoming an attractive vector due to its low toxicity and minimal immunogenicity. However, liver-targeted AAV gene therapy still faces challenges, such as low delivery efficiency and safety risks associated with high vector doses. Isolated hepatic perfusion (IHP) has been explored as a localized drug delivery method, yet its full potential in gene therapy remains under investigation. Here, we investigated the efficiency of AAV8 delivery via the IHP route and its preference for hepatic transduction. Methods The IHP route was established through surgery in rats and cynomolgus monkey, and the AAV8-dTomato solution was injected into the entire liver through the inflow tract and maintained for 10 min. One week later, liver tissues were obtained, and the dTomato fluorescence expression area fraction and intensity were analyzed. Results AAV8-dTomato delivery via the IHP resulted in over 60% dTomato-positive areas in rat liver and showed higher efficiency than the portal vein (PV) and inferior vena cava (IVC) routes at equivalent doses. In rats, AAV8-dTomato expression was primarily periportal across IHP, PV, and IVC routes, while in cynomolgus monkey, IHP delivery showed a pericentral pattern. Conclusions In this study, we found that IHP is an effective strategy for AAV8 delivery. In addition, the distribution characteristics of AAV8, when delivered in cynomolgus monkey via IHP, provide candidate vector delivery schemes for gene therapy for different types of genetic liver diseases.

Objective:Distribution and antibiotic resistance of pathogen isolated from children with intra-abdominal infection (IAI) associated sepsis in the intensive care unit (ICU) were analyzed to provide a reference for the empirical anti-infective treatment of IAI in children.Methods:We retrospectively analyzed the data of 116 children with culture-positive IAI-associated sepsis admitted to Children's Hospital of Zhejiang University School of Medicine from January 2019 to December 2021. Clinical isolation and drug resistance analysis were conducted based on different years of onset, locations of onset, and primary diseases.Results:A total of 186 strains of pathogens causing children with IAI-associated sepsis in ICU were collected. The distribution and antibiotic resistance of pathogen were as follows: the percentages of gram-positive bacteria, gram-negative bacteria, and fungi were 53.2%, 40.9%, and 5.9%, respectively; the top four strains were Enterococcus faecium, Escherichia coli, Klebsiella pneumoniae, and Enterococcus faecalis, accounting for 57.0% of all isolates; Enterococcus faecium(19.9%) and Enterococcus faecalis (10.2%) were the dominating gram-positive bacteria; Escherichia coli (13.4%) and Klebsiella pneumoniae (13.4%) were more common gram-negative bacteria; Fungi were dominated by Candida albicans (3.8%).Fifty-seven strains of gram-positive bacteria were detected in 61 children with infectious diseases, mainly Enterococcus faecium (28 strains). There were 53 gram-negative strains, mainly Klebsiella pneumoniae (21 strains). Thirty-two strains of gram-positive bacteria were detected in 40 children with digestive tract malformation, and Enterococcus faecalis (six strains) were the most common. There were 14 gram-negative strains, mainly Escherichia coli (six strains). In 13 children with malignant tumors of digestive system, nine strains of gram-positive bacteria were cultured, and Enterococcus faecium (four strains) was the most common. There were eight gram-negative strains, mainly Escherichia coli (four strains).In the 46 community-acquired IAI patients,30 gram-positive isolates were cultured,mainly including Enterococcus faecium (12 strains), Staphylococcus epidermidis (seven strains), and Viridans streptococci (six strains); Forty gram-negative isolates mainly contained Escherichia coli (16 strains), Klebsiella pneumoniae (14 strains), and Enterobacter cloacae (five strains). In the 70 hospital-associated IAI patients, 69 gram-positive isolates such as Enterococcus faecium (25 strains), Enterococcus faecalis (17 strains), Enterococcus gallinarum (eight strains), and Staphylococcus aureus (seven strains) were cultured;Tirty-six gram-negative isolates were dominated by Klebsiella pneumoniae (11 strains), Escherichia coli (nine strains), Pseudomonas aeruginosa (four strains), and Acinetobacter baumannii (four strains). The mixed infection rate of clinical pathogens was up to 46.6%, and the overall resistance rate was 43.4%, in which gram-negative bacteria had high sensitivity to piperacillin/tazobactam, cefoperazone/sulbactam, imipenem, and tigecycline.The detection rates of Klebsiella pneumoniae and Escherichia coli producing extended-spectrum β-lactamases were 36.0% and 24.6%, respectively, with 100% sensitivity to tigecycline. Gram-positive bacteria showed 100% sensitivity to vancomycin, linezolid, and tigecycline. Conclusion:Pathogen isolated from children with IAI-associated sepsis in ICU were dominated by Enterococcus faecium, Escherichia coli, Klebsiella pneumoniae, and Enterococcus faecalis,respectively. Before confirmation of pathogenic bacteria, antibacterial agents can be selected according to the infection type. It is important to note that a single broad-spectrum antibacterial agent or combination medication can be considered the initial empirical choice due to the large variety of pathogens, high rates of mixed infections, and high overall resistance.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

School-age children are in a specific development stage corresponding to juvenility, when the white matter of the brain experiences ongoing maturation. Diffusion-weighted magnetic resonance imaging (DWI), especially diffusion tensor imaging (DTI), is extensively used to characterize the maturation by assessing white matter properties in vivo. In the analysis of DWI data, spatial normalization is crucial for conducting inter-subject analyses or linking the individual space with the reference space. Using tensor-based registration with an appropriate diffusion tensor template presents high accuracy regarding spatial normalization. However, there is a lack of a standardized diffusion tensor template dedicated to school-age children with ongoing brain development. Here, we established the school-age children diffusion tensor (SACT) template by optimizing tensor reorientation on high-quality DTI data from a large sample of cognitively normal participants aged 6-12 years. With an age-balanced design, the SACT template represented the entire age range well by showing high similarity to the age-specific templates. Compared with the tensor template of adults, the SACT template revealed significantly higher spatial normalization accuracy and inter-subject coherence upon evaluation of subjects in two different datasets of school-age children. A practical application regarding the age associations with the normalized DTI-derived data was conducted to further compare the SACT template and the adult template. Although similar spatial patterns were found, the SACT template showed significant effects on the distributions of the statistical results, which may be related to the performance of spatial normalization. Looking forward, the SACT template could contribute to future studies of white matter development in both healthy and clinical populations. The SACT template is publicly available now ( https://figshare.com/articles/dataset/SACT_template/14071283 ).

The construction of high-quality public hospitals is the key to the construction of high-quality and efficient medical service system. The authors introduced the implementation of " 1+ 5″ engine-driven high-quality transformation development strategy in Zhejiang Provincial People′s Hospital, that is, adhering to the party building to lead the development of the hospital, and formulating measures to build a high-quality hospital from the five aspects of quality and safety, operational efficiency, brand influence, innovation driven and sustainable development, so as to provide some reference for other hospitals′ high-quality development.