Oral squamous cell carcinoma(OSCC),a common malignancy of the head and neck,ranks sixth worldwide in terms of cancers with the most negative impact,owing to tumor relapse rates,cervical lymphnode metastasis,and the la...Oral squamous cell carcinoma(OSCC),a common malignancy of the head and neck,ranks sixth worldwide in terms of cancers with the most negative impact,owing to tumor relapse rates,cervical lymphnode metastasis,and the lack of an efficacious systemic therapy.Its prognosis is poor,and its mortality rate is high.Octamer-binding transcription factor 4(OCT4)is a member of the Pit-Oct-Unc(POU)family and is a key reprogramming factor that produces a marked effect in preserving the pluripotency and self-renewal state of embryonic stem cells(ESCs).According to recent studies,OCT4 participates in retaining the survival of OSCC cancer stem cells(CSCs),which has far-reaching implications for the occurrence,recurrence,metastasis,and prognosis of oral carcinogenesis.Therefore,we summarize the structure,subtypes,and function of OCT4 as well as its role in the occurrence,progression,and prognosis of OSCC.展开更多
Background Recent studies have found that there is a certain correlation between gut microbiota(GM)and oral cavity cancer(OCC).Materials and methods In this Two-Sample Mendelian Randomization Study,GWAS of the microbi...Background Recent studies have found that there is a certain correlation between gut microbiota(GM)and oral cavity cancer(OCC).Materials and methods In this Two-Sample Mendelian Randomization Study,GWAS of the microbiome from the MiBioGen consortium(18,340 samples from 24 population-based cohorts)were used as exposure data.In addition,outcome data(357 OCC cases and 372,016 controls)were extracted from the IEU Open GWAS project.To examine the characteristics of potentially pathogenic bacteria in OCC,we performed two-sample Mendelian randomization(MR)analyses-based genome-wide association study(GWAS)summary statistics with the use of inversevariance-weighting or Wald ratio.Subsequently,sensitivity analyses were performed to explore the robustness of the primary results.Finally,we performed reverse MR analysis to mitigate reverse causality.Result A total of 2,699 single nucleotide polymorphisms(SNPs)associated with 196 bacterial genera were screened as instrumental variables(IVs),and the results suggested that 11 of them could increase the risk of OCC,while 5 of them exhibited a protective effect against OCC.Conclusion Bacillus orders,Bacillus phylums and Proteobacteria are associated with an increased risk of OCC,while Genus Butyrivibrio,genus Eggerthella,and genus Clostridium reduce the risk of OCC development.展开更多
Fast flow simulation is imperative in the design of pulsating ventilation,which is potentially efficient in indoor air contaminant removal.The execution of the conventional CFD method requires considerable amount of c...Fast flow simulation is imperative in the design of pulsating ventilation,which is potentially efficient in indoor air contaminant removal.The execution of the conventional CFD method requires considerable amount of computational resources.In this study,five different numerical schemes were proposed based on fast fluid dynamics(FFD)and fractional step(FS)methods,and were evaluated to achieve quick simulation of airflow/contaminant dispersion.One of these numerical schemes was identified with the best overall computing efficiency for investigating the performance of pulsating ventilation.With this numerical scheme at hand,the air contaminant removal effectiveness of different ventilation types was evaluated.Two kinds of pulsating ventilation and one kind of steady ventilation were tested upon a benchmark isothermal mixing chamber.The effect of adjusting supply velocity parameters on the ventilation performance was also investigated.CO_(2)concentration,airflow pattern,and vortex structure of different ventilation types were illustrated and analyzed.The results reveal that the FS method is more suitable for transient simulation of wall-bounded indoor airflow than the FFD method,and 34%–51%of computing time could be saved compared to the conventional CFD method.Regarding the choice of ventilation type,steady ventilation might result in short-circuit airflow and stagnant zones;alternatively,pulsating ventilation has greater potential in air contaminant removal due to its ever-changing vortex structure.展开更多
This study monitors the open/closed states of the windows in 16 residential apartments in representative cities of the hot summer and cold winter zone of China,along with outdoor air temperature,outdoor relative humid...This study monitors the open/closed states of the windows in 16 residential apartments in representative cities of the hot summer and cold winter zone of China,along with outdoor air temperature,outdoor relative humidity and outdoor PM2.5 concentration in 2017,to investigate the window opening/closing behavior.Three window opening models are developed.All the models are validated by modeling a typical residential apartment to compare the predicted indoor CO_(2)concentration with monitored data.It is found that the window opening probability is negatively correlated to both outdoor PM2.5 concentration and outdoor relative humidity,and the probability of window opening reaches the peak value when the outdoor air temperature is 23.7℃.In terms of season,the shortest window opening duration occurs in winter due to the cold outdoor air temperature and high outdoor PM2.5 concentration.Finally,by comparing the correlation between the measured date and simulation results of indoor CO_(2)concentration,this study provides an appropriate window opening model for reference.展开更多
基金supported by the Health Commission of Zhejiang Province(No.2022RC027),China。
文摘Oral squamous cell carcinoma(OSCC),a common malignancy of the head and neck,ranks sixth worldwide in terms of cancers with the most negative impact,owing to tumor relapse rates,cervical lymphnode metastasis,and the lack of an efficacious systemic therapy.Its prognosis is poor,and its mortality rate is high.Octamer-binding transcription factor 4(OCT4)is a member of the Pit-Oct-Unc(POU)family and is a key reprogramming factor that produces a marked effect in preserving the pluripotency and self-renewal state of embryonic stem cells(ESCs).According to recent studies,OCT4 participates in retaining the survival of OSCC cancer stem cells(CSCs),which has far-reaching implications for the occurrence,recurrence,metastasis,and prognosis of oral carcinogenesis.Therefore,we summarize the structure,subtypes,and function of OCT4 as well as its role in the occurrence,progression,and prognosis of OSCC.
基金supported by the National Outstanding Youth Science Fund Project of National Natural Science Foundation of China(No.82202780).
文摘Background Recent studies have found that there is a certain correlation between gut microbiota(GM)and oral cavity cancer(OCC).Materials and methods In this Two-Sample Mendelian Randomization Study,GWAS of the microbiome from the MiBioGen consortium(18,340 samples from 24 population-based cohorts)were used as exposure data.In addition,outcome data(357 OCC cases and 372,016 controls)were extracted from the IEU Open GWAS project.To examine the characteristics of potentially pathogenic bacteria in OCC,we performed two-sample Mendelian randomization(MR)analyses-based genome-wide association study(GWAS)summary statistics with the use of inversevariance-weighting or Wald ratio.Subsequently,sensitivity analyses were performed to explore the robustness of the primary results.Finally,we performed reverse MR analysis to mitigate reverse causality.Result A total of 2,699 single nucleotide polymorphisms(SNPs)associated with 196 bacterial genera were screened as instrumental variables(IVs),and the results suggested that 11 of them could increase the risk of OCC,while 5 of them exhibited a protective effect against OCC.Conclusion Bacillus orders,Bacillus phylums and Proteobacteria are associated with an increased risk of OCC,while Genus Butyrivibrio,genus Eggerthella,and genus Clostridium reduce the risk of OCC development.
基金supported by the National Natural Science Foundation of China under the grant number of 52278116.
文摘Fast flow simulation is imperative in the design of pulsating ventilation,which is potentially efficient in indoor air contaminant removal.The execution of the conventional CFD method requires considerable amount of computational resources.In this study,five different numerical schemes were proposed based on fast fluid dynamics(FFD)and fractional step(FS)methods,and were evaluated to achieve quick simulation of airflow/contaminant dispersion.One of these numerical schemes was identified with the best overall computing efficiency for investigating the performance of pulsating ventilation.With this numerical scheme at hand,the air contaminant removal effectiveness of different ventilation types was evaluated.Two kinds of pulsating ventilation and one kind of steady ventilation were tested upon a benchmark isothermal mixing chamber.The effect of adjusting supply velocity parameters on the ventilation performance was also investigated.CO_(2)concentration,airflow pattern,and vortex structure of different ventilation types were illustrated and analyzed.The results reveal that the FS method is more suitable for transient simulation of wall-bounded indoor airflow than the FFD method,and 34%–51%of computing time could be saved compared to the conventional CFD method.Regarding the choice of ventilation type,steady ventilation might result in short-circuit airflow and stagnant zones;alternatively,pulsating ventilation has greater potential in air contaminant removal due to its ever-changing vortex structure.
基金Part of the work is supported by National Science Foundation of China(51878408,51508326)the Key laboratory of healthy en-vironment and energy conservation for industrial large space building(2019SA-10-07)This work is supported by the national key project of the Ministry of Science and Technology,China,on“Green Buildings and Building Industrialization”through Grant No.2016YFC0700500.
文摘This study monitors the open/closed states of the windows in 16 residential apartments in representative cities of the hot summer and cold winter zone of China,along with outdoor air temperature,outdoor relative humidity and outdoor PM2.5 concentration in 2017,to investigate the window opening/closing behavior.Three window opening models are developed.All the models are validated by modeling a typical residential apartment to compare the predicted indoor CO_(2)concentration with monitored data.It is found that the window opening probability is negatively correlated to both outdoor PM2.5 concentration and outdoor relative humidity,and the probability of window opening reaches the peak value when the outdoor air temperature is 23.7℃.In terms of season,the shortest window opening duration occurs in winter due to the cold outdoor air temperature and high outdoor PM2.5 concentration.Finally,by comparing the correlation between the measured date and simulation results of indoor CO_(2)concentration,this study provides an appropriate window opening model for reference.
