Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Objective To investigate the current situation of emergency response management during new outbreaks of infectious diseases in central sterile supply department(CSSD)of hospitals in 18 provinces(autonomous regions and municipalities),and to provide a reference basis for the establishment of a sound emergency response management system.Methods A convenience sampling method was used to investigate and study the CSSDs in 447 hospitals from June to December 2023 using a self-developed questionnaire.The questionnaire included 3 aspects,including general information,emergency disposal management situation(including environment management,personnel management,material management,and process management),and satisfaction with emergency disposal management,and the relevant factors affecting the satisfaction with the emergency disposal management of CSSDs responding to new outbreaks of infectious disease devices were analyzed.Results A total of 447 questionnaires were recovered,with 442 valid questionnaires and a valid questionnaire recovery rate of 98.88％.In terms of environmental management,CSSDs in 88(19.91％)hospitals set up independent instrument pre-sterilization rooms for infected device disposal.In terms of material management,CSSDs in 42(9.50％)hospitals conducted daily emergency material management.In terms of personnel management,CSSDs in 236(53.39％)hospitals conducted emergency response knowledge assessments.In terms of process management,CSSDs in 225(50.90％)hospitals conducted information traceability system full-process closed-loop management.The results of multiple linear regression analysis showed that whether or not to carry out pre-treatment,emergency supplies stockpiling and management,emergency disposal knowledge assessment,establishment of standard operating procedures,and full-process closed-loop management of the traceability system were the influencing factors affecting the satisfaction of CSSD's emergency disposal management(P＜0.05).Conclusion The current situation of CSSD's emergency disposal management of new outbreaks of infectious diseases needs to be improved,and the environmental management of the decontamination area should be strengthened to improve the staff's ability of emergency disposal,guarantee the reserve of emergency supplies,and strengthen the informatization of the whole process management,to reduce the risk of hospital infections and safeguard the quality of medical care.

pAPN is a zinc-dependent metalloprotease,mediating the fusion between virus and host cell,and playing a role as the receptor of coronavirus.To explore the effect of pAPN on PEDV rep-lication,the full-length pAPN gene was amplified from the porcine small intestinal by PCR,and was cloned into the lentiviral vector via the homologous site digested with BamH Ⅰ and Not Ⅰ to obtain the recombinant lentiviral vector PLVX-pAPN-mCMV-ZsGreen1-puro.The recombinant lentiviral vector and helper plasmids pLP1,pLP2,pLP-VSVG were co-transfected into 293T cells for lentiviral packaging.Vero cells were infected with the packaged lentivirus and the pAPN gene overexpressing cells were screened by puromycin.The stable expression of Vero-pAPN monoclonal cell line was screened by a limited dilution method,and the effect of the cell line on the replication of PEDV was determined by qPCR for N mRNA transcription level,Western blot for N protein level,and TCID50.The results showed that the packaged lentivirus could infect Vero cells,and the monoclonal cell line Vero-pAPN(2C5)could stably expressed pAPN.The Vero-pAPN cell line can promote the replication of PEDV,the N gene mRNA transcription level was significantly different at 12-48 h(P＜0.05),the N protein expression level increased,and the TCID50 was significantly different at 24 and 48 h(P＜0.05).In conclusion,the Vero-pAPN cell line was constructed in this study and it can significantly promote the replication of PEDV,which provides a candidate cell line for PEDV vaccine production and isolation.

The research on medical image segmentation is of great significance in advancing efficient and accurate automated image processing techniques.To address the problem of inaccurate segmentation results caused by significant variations in organ tissue shapes and blurred boundaries present in medical images,a novel network named MFMANet is proposed.Built upon a"U"-shaped architecture,the network integrates multi-scale information fusion modules and multi-attention modules.Specifically,multi-scale information modules capture multi-scale information in the shallow layers of the network to bridge the semantic gap between encoder and decoder features,thereby enhancing the network's ability to handle large variations in organ sizes.Regarding the issue of blurred boundaries,multi-attention mechanism utilizes Swin Transformer as the deep encoder-decoder network,employing channel and spatial attention instead of traditional skip connections to achieve finer feature extraction.Experimental results on the ACDC and Synapse public datasets show that the proposed method achieves improvements of 1.51%and 1.29%in Dice similarity coefficient as compared with MTUNet,fully demonstrating its effectiveness in enhancing segmentation network accuracy.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

pAPN is a zinc-dependent metalloprotease,mediating the fusion between virus and host cell,and playing a role as the receptor of coronavirus.To explore the effect of pAPN on PEDV rep-lication,the full-length pAPN gene was amplified from the porcine small intestinal by PCR,and was cloned into the lentiviral vector via the homologous site digested with BamH Ⅰ and Not Ⅰ to obtain the recombinant lentiviral vector PLVX-pAPN-mCMV-ZsGreen1-puro.The recombinant lentiviral vector and helper plasmids pLP1,pLP2,pLP-VSVG were co-transfected into 293T cells for lentiviral packaging.Vero cells were infected with the packaged lentivirus and the pAPN gene overexpressing cells were screened by puromycin.The stable expression of Vero-pAPN monoclonal cell line was screened by a limited dilution method,and the effect of the cell line on the replication of PEDV was determined by qPCR for N mRNA transcription level,Western blot for N protein level,and TCID50.The results showed that the packaged lentivirus could infect Vero cells,and the monoclonal cell line Vero-pAPN(2C5)could stably expressed pAPN.The Vero-pAPN cell line can promote the replication of PEDV,the N gene mRNA transcription level was significantly different at 12-48 h(P＜0.05),the N protein expression level increased,and the TCID50 was significantly different at 24 and 48 h(P＜0.05).In conclusion,the Vero-pAPN cell line was constructed in this study and it can significantly promote the replication of PEDV,which provides a candidate cell line for PEDV vaccine production and isolation.

Objective To analyze the effects of the histone deacetylase inhibitor suberoylanilide hydroxamic acid(SAHA)on the secondary metabolites of the entomopathogenic fungus Samsoniella hepiali CDB9-31 using thin-layer chromatography(TLC)and high-performance liquid chromatography(HPLC).Methods The fermentation products of Samsoniella hepiali CDB9-31 treated with epigenetic modifiers were separated and purified using methods such as silica gel column chromatography,Sephadex column chromatography and reversed-phase column chromatography.The structures of the compounds were elucidated using modern spectroscopic analysis methods.The antimicrobial activity of the obtained monomeric compounds was determined using the filter paper disc diffusion method.Results The TLC and HPLC analyses of its fermentation extracts revealed that SAHA could induce the strain to produce more diverse array of secondary metabolites,and 11 monomeric compounds were isolated and identified as follows:N'-phenyloctanediamide(1),5-Phenylcarbamoyl-pentanoic(2),ergosterol(3),5,8-Epidioxy-5α,8α-ergosta-6,22E-diene-3β-ol(4),1-monolinolein(5),(4E,8E)-2-N-(2-Hydro-xypalmitoyl)-1-O-(β-D-glucopyranosyl)-9-methyl-4,8-sphingadienine(6),Ergosterol peroxide 3-O-β-D-glucopyranoside(7),(22E,24R)-7,22-diene-3β,5α,6β-ergostatriol(8),(2S,2'R,3R,4E,8E)-N-2'-Hydroxyhexadecanoyl-2-amion-9-methyl-4,8-octadecadiene-1,3-diol(9),Adenosine(10),D-Glulopyranose(11).Compounds 1 and 2 were derivatives of SAHA,and it was speculated that the special metabolic environment of CDB9-31 caused the biotransformation of SAHA.Except for compound 3,all other compounds were isolated from this genus for the first time.The antibacterial activity results showed that six of these compounds exhibited varying degrees of inhibitory effects against at least one pathogenic bacterium.Conclusion This study has enriched the chemical diversity of secondary metabolites from the entomopathogenic fungus Samsoniella hepiali.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.