Four novel β-galactoside prodrugs were designed and synthesized from anthraquinones HAQ-OH and AQ-OH in an attempt to use the prodrugs to selectively release superoxide anion (O2−) in cancer cells and to achieve selected anticancer activity by utilizing the Warburg effect and the elevated level of β-galactosidase in certain cancer cells. Cellular assays showed that the prodrugs Gal-HAQ and Gal-AQ selectively inhibited the proliferation and induced apoptosis of ovarian cancer OVCAR-3 cells overexpressing β-galactosidase. Using O2− fluorescent probe, it was found that in OVCAR-3 cells Gal-HAQ and Gal-AQ could time-dependently release O2−, which was essential for their anticancer activity. Furthermore, it was found that Gal-HAQ and Gal-AQ were effective senolytics toward senescent cells overexpressing β-galactosidase without affecting the viability of corresponding non-senescent cells, further confirming the β-galactosidase-dependent cytotoxicity of the prodrugs. In conclusion, Gal-HAQ and Gal-AQ, which release O2− in response to β-galactosidase, are expected to serve as candidate prodrugs targeting cancer cells.

ObjectiveTo analyze the distribution, drug resistance characteristics, and changing trends of Acinetobacter baumannii (AB) isolated from environmental surfaces and healthcare workers’ hands in a grade Ⅱ level A general hospital in Xuhui District of Shanghai from 2018 to 2023, and to provide reference for infection control in the hospital. MethodsEnvironmental samples were collected quarterly from critical surfaces and healthcare workers’ hands in the intensive care unit (ICU), geriatrics, and respiratory departments from 2018 to 2023. Clinical isolates were obtained from all patients with AB infections in ICU, geriatrics, respiratory department, rehabilitation department, infectious diseases department, emergency department, cardiology department, and orthopedics of the hospital from 2018 to 2023. Retrospective analyses were performed on AB detection rates, strain origins, resistance rates to commonly used antimicrobial agents, and resistance gene features, comparing the antimicrobial resistance between clinically isolated strains and environmentally isolated strains. ResultsFrom 2018 to 2023, a total of 1 416 samples were collected from the hospital and a total of 272 strains of AB were detected, with a positive detection rate of 19.21%. The detection rate gradually decreased year-on-year (χ²_trend=45.290, P<0.001). The majority of samples originated from patient-contacted items (34.56%, 94/272), followed by shared items (26.84%, 73/272) and healthcare worker-contacted items (15.07%, 41/272). From 2018 to 2023, the resistance rate of AB on environmental surfaces and healthcare workers’ hands to commonly tested antibiotics in the hospital ranged from 10% to 40%. The resistance rates to cefotaxime (42.52%) and piperacillin (38.58%) were relative high, while the resistance to polymyxin E (1.57%), polymyxin B (2.36%), and doxycycline (3.94%) maintained low. The annual fluctuations in resistance to cefotaxime, piperacillin, ceftriaxone, tobramycin, doxycycline, minocycline and cotrimoxazole were statistically significant (all P<0.05). There were statistically significant differences in the resistance of clinical and environmental isolates to ampicillin/sulbactam, cefepime, ceftazidime, subamphetamine, meropenem, piperacillin, aztreonam, gentamicin, tobramycin, minocycline, ciprofloxacin, levofloxacin, and cotrimoxazole in the hospital from 2018 to 2023 (all P<0.05). The resistance rate of clinical isolates was generally high, especially to β-lactam and quinolone drugs, which were mostly above 80% [such as cefepime (93.86%), cefotaxime (97.37%), imipenem (98.25%), and ciprofloxacin (99.12%)]. The resistance rate of environmental isolated strains to similar antibiotics was relatively lower, mostly concentrated at 10%‒30%. The whole-genome sequencing of 34 carbapenem-resistant Acinetobacter baumannii (CRAB) strains isolated from the hospital environment in 2023 revealed that the main resistance mechanism was overexpression of efflux pumps (51.97%), followed by changes in target sites (32.46%). Among the 34 CRAB strains, carbapenem resistance genes OXA-23 and OXA-51 were detected in 6 strains (17.65%), while genes such as KPC, IMP, VIM, and SIM were not detected. ConclusionFrom 2018 to 2023, AB in the hospital environment exhibited high resistance rates to certain antimicrobial agents and carried multiple resistance genes, indicating a potential transmission risk. It is necessary to further strengthen bacterial resistance monitoring and hospital infection control, and use antibiotics reasonably.

Objective To explore the prognostic value of glycolysis-related genes in colorectal cancer (CRC) patients and formulate a novel glycolysis-related prognostic risk model. Methods Single-cell and bulk transcriptomic data of CRC patients, along with clinical information, were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Glycolysis scores for each sample were calculated using single-sample Gene Set Enrichment Analysis (ssGSEA). Kaplan-Meier survival curves were generated to analyze the relationship between glycolysis scores and overall survival. Novel glycolysis-related subgroups were defined among the cell type with the highest glycolysis scores. Gene enrichment analysis, metabolic activity assessment, and univariate Cox regression were performed to explore the biological functions and prognostic impact of these subgroups. A prognostic risk model was built and validated based on genes significantly affecting the prognosis. Gene Set Enrichment Analysis (GSEA) was conducted to explore differences in biological processes between high- and low-risk groups. Differences in immune microenvironment and drug sensitivity between these groups were assessed using R packages. Potential targeted agents for prognostic risk genes were predicted using the Enrichr database. Results Tumor tissues showed significantly higher glycolysis scores than normal tissues, which was associated with a poor prognosis in CRC patients. The highest glycolysis score was observed in epithelial cells, within which we defined eight novel glycolysis-related cell subpopulations. Specifically, the P4HA1⁺ epithelial cell subpopulation was associated with a poor prognosis. Based on signature genes of this subpopulation, a six-gene prognostic risk model was formulated. GSEA revealed significant biological differences between high- and low-risk groups. Immune microenvironment analysis demonstrated that the high-risk group had increased infiltration of macrophages and tumor-associated fibroblasts, along with evident immune exclusion and suppression, while the low-risk group exhibited higher levels of B cell and T cell infiltration. Drug sensitivity analysis indicated that high-risk patients were more sensitive to Abiraterone, while low-risk patients responded to Cisplatin. Additionally, Valproic acid was predicted as a potential targeted agent. Conclusion High glycolytic activity is associated with a poor prognosis in CRC patients. The novel glycolysis-related prognostic risk model formulated in this study offers significant potential for enhancing the diagnosis and treatment of CRC.
Humans ; Colorectal Neoplasms/pathology* ; Glycolysis/genetics* ; Prognosis ; Transcriptome ; Tumor Microenvironment/genetics* ; Gene Expression Profiling ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Kaplan-Meier Estimate

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Objective To analyze the composition patterns and indications of formulas containing the herbal pair of Bupleuri Radix and Scutellariae Radix(abbreviated as herbal pair Chaihu-Huangqin).Methods With Zhong Yi Fang Ji Da Ci Dian(Encyclopedia of Chinese Medicinal Formulas)as the data source,formulas containing herbal pair Chaihu-Huangqin were screened.Excel 2019,SPSS Modeler,and Cytoscape were employed to investigate the composition patterns and indications of the formulas containing the herbal pair.Results A total of 928 formulas containing the herb pair were identified,involving 293 herbs.Beyond Bupleuri Radix and Scutellariae Radix,high-frequency herbs of Glycyrrhizae Radix et Rhizoma,Ginseng Radix et Rhizoma,Angelicae Sinensis Radix,Paeoniae Radix Alba,Pinelliae Rhizoma,Gardeniae Fructus,and Poria are the primary ingredients of formulas containing herbal pair Chaihu-Huangqin.The herbs as the ingredient combinations were predominantly cold in nature and were bitter,pungent,or sweet in flavors,primarily acting on the liver and lung meridians.Association rule analysis revealed that herbal pair Chaihu-Huangqin was frequently use together with herbal groups of"Pinelliae Rhizoma-Ginseng Radix et Rhizoma-Glycyrrhizae Radix et Rhizoma"and"Poria-Ginseng Radix et Rhizoma-Glycyrrhizae Radix et Rhizoma".Formulas containing herbal pair Chaihu-Huangqin were indicated for 184 kinds of diseases,in particular for exogenous febrile diseases,heat syndrome,and ocular disorders.Complex network analysis and dosage analysis indicated that common combined herbs of Pinelliae Rhizoma,Ginseng Radix et Rhizoma,Gardeniae Fructus,and Puerariae Lobatae Radix were indicated for exogenous febrile diseases;common combined herbs of Paeoniae Radix Rubra,Coptidis Rhizoma,and Gardeniae Fructus were indicated for heat syndrome;and common combined herbs of Plantaginis Semen,Cimicifugae Rhizoma,and Cassiae Semen were indicated for ocular disorders.The dosage ratio of Bupleuri Radix-Scutellariae Radix consistently maintained a 1∶1 ratio across all above indications.Conclusion The herbal pair Chaihu-Huangqin functions to harmonize shaoyang meridian and demonstrates broad clinical applicability.The data mining study has revealed its dominant indications and combinatorial patterns,which will provide evidence-based insights for modern clinical practice.

Objective By using the computational fluid mechanic(CFD)method the tandem carotid artery stenosis(TCAS)was simulated on the model,and to compare the postoperative hemodynamic changes of different surgical procedures.Methods One patient with tandem stenosis of internal carotid artery(ICA)and common carotid artery(CCA)was selected.CFD technique was used to establish four three-dimensional(3-D)models of the carotid bifurcations,including one model of a real patient and three models of presumptive surgery.The hemodynamic analysis was performed with these models so as to explore the development mechanism of TCAS and to discuss the selection of suitable surgical plan.Results In tandem stenosis,the stenosis was preferentially formed in CCA and subsequently led to ICA stenosis.The local hemodynamic situation in TCAS was more complex and more risky than in single carotid artery stenosis.In tandem stenosis,the treatment of one stenosis site would affect the blood flow at the next stenosis site and cause restenosis or plaque rupture.Conclusion In treating patients with TCAS,CFD simulation examination should be performed when the surgical plan is formulated,which can help clinicians to predict the postoperative changes in blood flow and to choose the appropriate surgical plan.

Objective To investigate the clinical efficacy and safety of long-term intermittent oral ad-ministration of fosfomycin trometamol(FMT)in the control of urinary tract infection and the reduction of stone recurrence rate after removal of upper urinary infection stones.Methods A total of 171 patients who met the inclusion criteria were enrolled and divided into the FMT group(using FMT),cephalosporin group(using cefixime),and blank group(not using antibiotics)according to the random number method,with 57 cases in each group.Finally,55 cases in the FMT group,47 cases in the cephalosporin group and 48 cases in the blank group were included in the statistical analysis,and the urinary tract infection and stone recurrence of the three groups were followed up regularly after the stone removal operation.Results There was no statisti-cal significance in the baseline data of the three groups(P>0.05).There were significant differences in the recurrence rate of urinary tract infection at the 3rd and 6th month among the 3 groups(P=0.010,P<0.001).Further pair-wise comparison showed that the recurrence rate of urinary tract infection at the 3rd month in the FMT group was lower than that in the blank group(P<0.05),but there was no statistical difference compared with the cephalosporin group(P>0.05).The recurrence rate of urinary tract infection at the 6th month in the FMT group was lower than that in the cephalosporin group and blank group(P<0.05).The recurrence rate of stones in the 1st and 3rd year of the three groups were statistically different(P= 0.028,0.015).Further pair-wise comparison showed that the 1st year stone recurrence rate of the FMT group was lower than that of the cephalosporin group and blank group(P<0.05).The 3rd year stone recurrence rate of the FMT group was lower than that of the blank group(P<0.05),but there was no statistical difference compared with the cephalosporin group(P>0.05).There was no significant difference in the total incidence of adverse drug re-action between the FMT group and cephalosporin group(P=0.131).Conclusion FMT is superior to cephalospo-rin in the control of urinary tract infection after lithotripsy for upper urinary tract infection.

Objective:To investigate the efficacy and related influencing factors of autologous hematopoietic stem cell transplantation(auto-HSCT)as first-line consolidation therapy for newly diagnosed elderly patients with diffuse large B cell lymphoma(DLBCL).Methods:Retrospective study of clinical characteristics, therapeutic effect, and prognostic factors of newly diagnosed DLBCL elderly patients with an International Prognostic Index(IPI)score≥3 who underwent auto-HSCT in the Affiliated People's Hospital of Ningbo University from January 2015 to August 2020.Results:Among the 31 patients, 18 were males and 13 were females, with a median age of 65(60-75)years.The 13 cases(41.9%)were involved in 2 sites outside lymph nodes, and 13 cases(41.9%)were involved in bone marrow.IPI medium and high risk(IPI=3 points)was found in 21 cases(67.7%), high risk(≥4 points)in 10 cases(32.2%). Before transplantation, 21(67.7%)patients achieved complete remission(CR), and the other 10(32.3%)patients were in the partial remission(PR). All patients after transplantation achieved hematopoietic reconstitution.The median time for neutrophil and platelet engraftment were 10(9-16)days and 12(8-58)days respectively.During a median follow-up of 20.9(3.1 to 73.0)months after transplantation, transplant-related mortality within 100 days was 3.2%(1/31). The 2-year overall survival(OS)and progression-free survival(PFS)were(77.2±8.4)% and(72.7±8.3)%, respectively.Multivariate Cox analysis showed that the achieved partial remission status before auto-hematopoietic stem cell transplantation[OS( HR=30.064, 95% CI: 2.231-405.209, P=0.010), PFS( HR=9.165, 95% CI: 1.926-43.606, P=0.005)], and CD34 + cell count in graft <3×10 6/kg[OS( HR=12.004, 95% CI: 1.234-116.807, P=0.032), PFS( HR=6.115, 95% CI: 1.325-28.221, P=0.020)]were the independent poor prognostic factor affecting both OS and PFS in elderly lymphoma patients. Conclusions:Auto-HSCT may improve the survival rate of carefully selected elderly patients with DLBCL.Pretransplant disease status and the number of CD34 + cells in the graft are important factors to predict the efficiency of auto-HSCT of the patients.

Background Aedes albopictus is the dominant mosquito species in residential areas in Shanghai. There are many types of small containers with accumulated water in residential areas, providing a large number of breeding environments for Aedes alpopicuts and leading to an increasing transmission risk of mosquito-borne diseases. Objective To use random forest to predict breeding of Aedes mosquitoes in small aquatic container habitat in two concentrated reconstruction communities of rural areas in Shanghai, and to understand associated influence of environmental factors on the breeding of Aedes mosquitoes in the process of urbanization.Methods Small-scale habitat surveys of Aedes mosquitoes were carried out in two suburb concentrated reconstruction communities (Community A and B) in Shanghai, and the environment where the habitat was located was recorded and analyzed in both communities. The habitat where eggs, larvae, or pupae were found was recorded as positive. Spatial weight matrix was applied on a household basis, and global Moran's I index was used to carry out spatial autocorrelation analysis on the small-scale habitat and positive habitat in the environment of the two communities. When Moran's I is greater than 0, it means that the data present a positive spatial correlation; when Moran's I is less than 0, it means that the data are spatially negatively correlated; when Moran's I is 0, the spatial distribution is random. Combining the results of P and Z values, we explored the spatial distribution characteristics of small-scale habitat and positive habitat in the community environment. Random forest algorithm in machine learning was used to classify and sort environmental-related factors, and predict the breeding of Aedes mosquitoes in small aquatic habitat; receiver operating characteristic (ROC) curve was used to carry out model fitting evaluation. Results The environmental factors including building location (χ²=23.35, P<0.001), open space (χ²=8.83, P=0.003), and having trees (χ²=11.02, P=0.001) had a significant impact on the positive rate of small-scale habitat. The results of spatial characteristics analysis showed that the global Moran's I index of small-scale habitat was −0.092 (Z=−1.09, P=0.274) in Community A and 0.034 (Z=0.52, P=0.602) in Community B, and the global Moran's I index of positive habitat was −0.092 (Z=−1.14, P=0.255) in Community A and 0.070 (Z=0.95, P=0.342) in Community B. Since the P values of Community A and B were greater than 0.1 and the Z values were between −1.65 and 1.65, for both small-scale habitat and positive habitat the spatial characteristics were randomly distributed and no significant spatial aggregation was found. In the fitted random forest algorithm classification prediction model with the top 10 characteristic factors of importance, the area under curve (AUC) value was 0.95, and the prediction fitting effect was satisfactory. The results of classification and sorting indicated that counts of household small-scale habitat and positive habitat were the most important factors for breeding. Conclusion The random forest model constructed by environmental factor indicators can be used to predict the breeding situation of Aedes mosquitoes in small-scale aquatic habitat, and provide a basis for scientific prevention and control of mosquito breeding for the target area.

Objective:To evaluate the acute effects of different foot-strike patterns of running on knee cartilage in amateur marathon runners using the T 2* mapping technique. Methods:From November 2021 to February 2022, 29 amateur marathon runners were recruited in Hangzhou. The gait analysis was performed to determine their landing patterns, then the runners were divided into the fore-foot strike (FFS) group (11 cases) and the rear-foot strike (RFS) group (18 cases). The MRI of the knee joint of the dominant leg was performed before and 30 min after running, and the volume, thickness, and T 2* value of each division of knee cartilage were measured. Independent samples t-tests were used to compare the differences in baseline data before running between the groups, and paired samples t-tests were used to compare the differences before and after running within the groups. Results:The difference in knee cartilage volume and thickness between the FFS and RFS groups before running was not statistically significant ( P>0.05), and the T 2* value of the femur medial posterior in the RFS group was higher than that of the FFS group ( t=-2.47, P=0.020). Compared with pre-running, cartilage thickness of the tibia lateral posterior decreased in the FFS group after running ( t=-2.96, P=0.016), and cartilage thickness of the tibia lateral posterior and patella lateral central decreased in the RFS group ( t=-3.25, -3.02, P=0.004, 0.007). Cartilage volume of the tibia lateral posterior decreased in the FFS group after running ( t=-2.58, P=0.030), and the cartilage volume of the patella lateral central decreased in the RFS group ( t=-2.74, P=0.013). The differences in T 2* values of cartilage in each region before and after running were not statistically significant in the FFS group ( P>0.05), whereas in the RFS group, the cartilage T 2* values in the femur medial posterior, femoral trochanter central, femoral trochanter lateral, femur lateral central, tibia lateral anterior, tibia medial posterior, tibia medial central, and tibia medial anterior decreased ( P<0.05). Conclusions:After running, FFS showed changes in morphology and biochemical composition only in some subregions of tibial cartilage, whereas most of the femoral cartilage, patellar cartilage, and tibial cartilage regions were altered by RFS. The RFS pattern introduces greater acute changes in cartilage in the knee joint.