Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Type 2 diabetes mellitus (T2DM) is a global metabolic disease with potentially life- threatening complications. Liver metabolism plays a vital role in the occurrence and development of diabetes mellitus. It has been reported that the Chinese medicinal Anemarrhenae rhizoma (AR) can relieve insulin resistance and diabetes mellitus. However, the effect on abnormal liver metabolism in diabetes mellitus is still unclear. Therefore, we extracted liver proteins of T2DM rats induced by high-fat diet (HFD) and streptozotocin (STZ), T2DM rats treated with AR extract (ARE), obesity rats (fed with HFD), and normal control rats (fed with normal diet). Then, through tandem mass tag (TMT) labeling combined with mass spectrometry (MS), we obtained the quantitative proteomic data. Bioinformatics software was used for hierarchical cluster analysis and principal component analysis of the data in each group. The volcano map for differentially expressed proteins (P < 0.05, fold change > 1.5) was plotted. It was found that the treatment group was closer to the normal control group, indicating that the quantitative proteomic data of liver tissue can reflect the therapeutic effect of ARE on T2DM rats. Key protein clusters closely related to the treatment of ARE were screened out. The Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the protein clusters were analyzed by David, and the result showed that AR's alleviation of abnormal fatty acid metabolism in livers of T2DM rats may be related to the regulation of the expression of key proteins Ndufa6 and Prkar2b.
Rats ; Animals ; Diabetes Mellitus, Type 2/metabolism* ; Proteomics/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Anemarrhena ; Liver/metabolism*

Objective To evaluate the clinical application of a novel hepatitis B virus YMDD mutation DNA diagnostic kit (magnetic beads method kit).Methods A total of 324 HBV clinical serum samples was tested with the magnetic beads method kit and another kind of fluorescence diagnostic kit (boiling method).Accuracy, specificity, and sensitivity were compared.Results The consistency of positive detection rate of two kits was 100％ (95％ CI : 98.0％ ～ 100％), negative consistency was 97.12％ (95％ CI : 92.8％ ～99.2％) and the total consistency was 98.76％ (95％ CI : 96.9％ ～99.7％).Four cases of discrepant samples were confirmed by sequencing, and statistical analysis performed by Kappa test (Kappa =0.975) shows good consistency between the two methods.Conclusions The magnetic beads method kit has good consistency compared to the regular boiling method kit, and the polymerase chain reaction (PCR) detection system contains an internal positive control (internal control) to avoid a false negative resuit, which is more suitable for clinical diagnosis.