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 study the preventive effect of Timosaponin BⅡ (T-BⅡ) -loaded temperature/ion-sensitive nasal in situ hydrogels (ISGs) on Alzheimer's disease (AD), its preparation technology, characteristics and in vivo effects were evaluated.Methods: The morphological and rheological properties were evaluated. The preventive effects of T-BⅡ ISG on scopolamine-induced AD in mice were determined with the index of muscarinicreceptor 1 (M1) expression and pathological changes. Results: Results revealed that T-BⅡ ISG significantly increased the content of M1 choline receptors in the hippocampus of mice and ameliorated the damage incurred to the hippocampal cornu ammonis 1 (CA1) area. Conclusion: T-BⅡ ISGs is a reasonable and convenient method of exerting an obvious preventive effect on mice with AD induced by scopolamine. This, thereby, lays forth a new treatment option for preventing AD.

Objective To develop a method for the determination of five furostanol saponins(timosaponin N,timosaponin L, timosaponin BⅡ,25R-timosaponin BⅡ,and 25S-officinalisnin-Ⅰ)in rhizome and fibrous root of Anemarrhena asphodeloides Bge. by HPLC with the charged aerosol detector(CAD). Methods The analysis was performed on TechMate C18-ST-II(250 mm×4.6 mm,5μm)with acetonitrile:water(22:78,V/V),the flow rate of 1.0 ml/min and column temperature at 30℃. The Corona parameters were as follows:sampling rate 10 Hz,filter 5 s,and the nebulizer temperature 55℃. Results The approach showed good linearity for five saponins. The correlation coefficients(r2)for calibration curves varied from 0.9992 to 0.9998. The limits of detection(LOD)were 0.28,0.92,0.92,0.92 and 0.92 ng for five steroidal saponins,respectively. The limits of quantitation(LOQ)were found to be 0.92, 2.77,2.77,2.77 and 2.76 ng,respectively. RSD calculated from peak area of precision,repeatability and stability in 48 h were all less than 3.0%. The average recoveries of timosaponin N,timosaponin L,timosaponin BⅡ,25R-timosaponinBⅡ,and 25S-officinalis-nin-Ⅰwere 98.17%,101.37%,98.53%,97.63%,and 98.17%,respectively. Conclusion The developed method is accurate,reli-able,which could be applied to the quality control of multiple components in A. asphodeloides Bge.

Objective To explore the classification system and outcomes of surgical treatment for terrible triad of the elbow.Methods Data of 42 patients with terrible triad elbow injuries who were surgically treated between 2009 and 2015 were retrospectively analyzed.There were 29 males and 13 females with a mean age of 47 years at the time of injury.42 patients of terrible triad injuries were classified into four types:type ⅠA,ⅠB,Ⅱ,Ⅲ,and Ⅳ injuries.Type ⅠA and Ⅱ injuries were treated through an isolated lateral approach,while type ⅠB,Ⅲ and Ⅳ injuries were treated by a combined lateral and anteromedial approach.Operative treatment consisted of repair or replacement of the radial head,repair of the lateral collateral ligament (LCL) and coronoid fracture fixation.Type ⅠA injuries were treated with radial head and LCL repair without coronoid fixation.Type Ⅳ elbow injuries were treated with medial collateral ligament (MCL) repair.Elbow functional status was evaluated using the Mayo elbow performance score (MEPS).Results There were three patients with type ⅠA injuries,7 patients type ⅠB injuries,15 type Ⅱ injuries,10 type Ⅲ injuries,and 7 type Ⅳ injuries.The average follow-up period was 30 months (range,24-56 months).All fractures of coronoid got union at average 11.5 months except for type ⅠA injuries.40 patients with fractures of radial head got union at average 12.4 months and two patients underwent radial head replacement without loosening.The mean flexion-extension arc was 107°±22°,the mean flexion contracture was 20°±10° and the mean flexion was 127°±14°.The average forearm rotation arc was 145°±14°,which included an average pronation of 73°±8° and an average supination of 71°±9°.The mean MEPS was 89±9 points (range,55-100 points),with excellent results in 24 elbows,good result in 17 and poor result in one;the excellence rate was 97％ (41/42).Thirteen patients had radiographic signs of arthrosis according to the Broberg-Morrey system (9 elbows were grade 1 and 4 were grade 2).5 patients had evidence of heterotopic ossification,of which four had minimal periarticular ossification and did not require additional surgery.The remaining patient showed significant heterotopic ossification and required an elbow release.1 patient with type Ⅲ injury developed transient median nerve paralysis and got full recovery after conservative treatment for 8 weeks.1 patient with type Ⅲ injury developed ulnar neuropathy and required an anterior ulnar nerve transposition.2 patients,who had shifting hardware but still achieved union,required a second surgery to remove the implant:one patient had a Kirschner wire shift from the radial head at 6 months after surgery,and the other had a loose screw in the coronoid process at one year after surgery.Conclusion Our classification system of terrible triad of the elbow may provide a guide for the selection of an ideal surgical approach and treatment modality.

Gut microbiota(GM)consists of a complex community of microorganism species that live in the digestive tracts of animals including humans. Dysbiosis is believed to involve in the development of some diseases. Recently dysbiosis in the patients with Alzheimer′s disease(AD)and AD rat models was reported. GM may influence the pathogenesis and development of AD in several ways. Some neurotoxic substances produced by GM can invade into the brain via circulation and impair the neural functions. These sub?stances include ammonia,cyanobacteria-producedβ-N-methylamino-L-alanine,saxitoxin,anatoxin-αand amyloid. The decrease in brain-derived neurotrophic factor(BDNF)in hippocampus and cerebral cortex induced by dysbiosis contributes to the cognitive dys?function. Dysbiosis related endotoxin can induce inflammation,which is one important risk factor for obesity,insulin resistance(IR) and type 2 diabetes mellitus(TIDM). AD and diabetes have good correlation and similarity. Probiotics,prebiotics and Chinese herbal medicines can rebuild GM and have been reported to ameliorate the memory loss of AD patients or model rats. However ,whether and how their preventative and therapeutic effects on AD mediated by GM are worthy of further investigation.

The chemic al composition of traditional Chinese medicine (TCM) is the material base for its prevention and treatment of disease. Characterization, analysis and isolation of chemical constituents, important fields of modern research on TCM, however, are still a great challenge due to the complexity. In recent years, considerable progress has been made in these fields with the application of new chromatographic packing materials and methods, analysis technologies represented by LC-MS and the associated databases and softwares. Here, the advancement of methods and strategies used in the research on the chemical constituents of TCM is briefly reviewed.