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.

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.

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.

With the deepening of the modernization of traditional Chinese medicine(TCM),the analysis of mineralogical features of mineralogical TCM,as an important part of TCM,has received more and more attention.At present,the research of mineral-based traditional Chinese medicine is faced with problems such as confusion of medicinal resources,unclear material basis,and low exclusivity of quality standards,while common analytical techniques have certain limitations in quantitative analysis,sensitivity and comprehensive characterization,which restrict the modernization research of mineral-based medicines and its clinical applications.The advanced mineral identification and characterization system integrates energy spectrum and spectral analysis techniques,combined with efficient data processing algorithms,which can rapidly and accurately analyze mineral components qualitatively and quantitatively,but its application in mineral medicine research is still in its infancy.This article reviews the common analytical techniques for mineral medicine and the potential application of advanced mineral identification and characterization system in the identification of mineral Chinese medicine matrix and quality control.The advanced mineral identification and characterization system can not only accurately distinguish the mineralogical characteristics of mineral medicines,such as the mineral composition,elemental state and embedded characteristics,and provide data support for the research of mineral medicine resources,but also provide scientific basis for the establishment of systematic quality standards,the analysis of the preparation mechanism,the revelation of its potential medicinal effect of the material basis and the control of the risk of heavy metals.

Objective On the basis of systematically summarizing and organizing the existing standards of mineral drugs in traditional Chinese medicine,this study aims to construct the top-level framework of the mineral drug standard system and promote the standardization process of the mineral drug industry.Methods A comprehensive search and analysis of the standards for 87 kinds of mineral drugs were conducted on authoritative platforms such as the National Standard Information Public Service Platform,China Standard Service Network,and Traditional Chinese Medicine Standard and Guideline Information Service.By delving into the theoretical foundation and scientific methods,combined with practical research,this study uses analogy reference,systematic decomposition,and process analysis to design the top-level framework of the mineral drug standard system.Results Through comprehensive analysis and scientific design,this study summarizes the construction process and methods of the mineral drug standard system,clarifies the hierarchical structure and classification principles of the system,proposes the compilation path,and forms a standard system covering the entire industry chain of mineral drugs,including raw minerals,product categories,and circulation categories.Conclusion This study constructs a full industry chain process framework for the standard system of mineral drugs,providing a clear perspective for the research of mineral drugs.It can more comprehensively display the current state of development of mineral drug standards in our country,laying a foundation for the research on the standardization of mineral drugs.

With the deepening of the modernization of traditional Chinese medicine(TCM),the analysis of mineralogical features of mineralogical TCM,as an important part of TCM,has received more and more attention.At present,the research of mineral-based traditional Chinese medicine is faced with problems such as confusion of medicinal resources,unclear material basis,and low exclusivity of quality standards,while common analytical techniques have certain limitations in quantitative analysis,sensitivity and comprehensive characterization,which restrict the modernization research of mineral-based medicines and its clinical applications.The advanced mineral identification and characterization system integrates energy spectrum and spectral analysis techniques,combined with efficient data processing algorithms,which can rapidly and accurately analyze mineral components qualitatively and quantitatively,but its application in mineral medicine research is still in its infancy.This article reviews the common analytical techniques for mineral medicine and the potential application of advanced mineral identification and characterization system in the identification of mineral Chinese medicine matrix and quality control.The advanced mineral identification and characterization system can not only accurately distinguish the mineralogical characteristics of mineral medicines,such as the mineral composition,elemental state and embedded characteristics,and provide data support for the research of mineral medicine resources,but also provide scientific basis for the establishment of systematic quality standards,the analysis of the preparation mechanism,the revelation of its potential medicinal effect of the material basis and the control of the risk of heavy metals.

Objective On the basis of systematically summarizing and organizing the existing standards of mineral drugs in traditional Chinese medicine,this study aims to construct the top-level framework of the mineral drug standard system and promote the standardization process of the mineral drug industry.Methods A comprehensive search and analysis of the standards for 87 kinds of mineral drugs were conducted on authoritative platforms such as the National Standard Information Public Service Platform,China Standard Service Network,and Traditional Chinese Medicine Standard and Guideline Information Service.By delving into the theoretical foundation and scientific methods,combined with practical research,this study uses analogy reference,systematic decomposition,and process analysis to design the top-level framework of the mineral drug standard system.Results Through comprehensive analysis and scientific design,this study summarizes the construction process and methods of the mineral drug standard system,clarifies the hierarchical structure and classification principles of the system,proposes the compilation path,and forms a standard system covering the entire industry chain of mineral drugs,including raw minerals,product categories,and circulation categories.Conclusion This study constructs a full industry chain process framework for the standard system of mineral drugs,providing a clear perspective for the research of mineral drugs.It can more comprehensively display the current state of development of mineral drug standards in our country,laying a foundation for the research on the standardization of mineral drugs.

NLRP3(NLR family pyrin domain containing 3)is the core of the inflammatory response,and its excessive activation involves the development of various diseases,including neurodegenerative diseases,autoimmune diseases and metabolic disorders,etc.In recent years,it has been found that natural flavonoids can extensively inhibit the diseases caused by NLRP3 inflammation overactivation via various mechanisms,including resistance to oxidative stress,promotion of autophagy,stabilization of mitochondrial function,adjustment ion channels and inhibition of NLRP3 inflammation composition.In this paper,we reviewed the relevant latest research reports,compiled the types and pathogenesis of diseases caused by excessive activation of NLRP3 inflammation,and summarized the mechanisms on the prevention and treatment of various diseases by inhibiting NLRP3 inflammation with natural flavonoids.This review provides new ideas for the development of new drugs using flavonoid components in the prevention and treatment of NLRP3 inflammatory-related diseases.