Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

The NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, a high-molecular-weight protein complex in the cytoplasm, is composed of three core components: the sensor protein NLRP3, the adaptor protein apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC) and the effector protein caspase-1. It plays a critical role in regulating host immune and inflammatory responses. Studies have shown that the NLRP3 inflammasome has increasingly become a focal point in tumor molecular biology field. A growing body of evidence indicates that the increased expression and activation of the NLRP3 inflammasome is closely associated with the pathogenesis of head and neck squamous cell carcinoma (HNSCC) and the tumor microenvironment (TME). It may promote tumor proliferation, invasion, migration, and other biological behaviors through various regulatory mechanisms while influencing tumor immune evasion and therapy resistance, which holds promise as a prognostic biomarker for patients. This review explores the current effect and mechanism of the NLRP3 inflammasome and its signaling pathways in head and neck cancer, providing insights into clinical targeted drug development and molecular immunotherapy.
Humans ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Inflammasomes/metabolism* ; Head and Neck Neoplasms/pathology* ; Squamous Cell Carcinoma of Head and Neck/metabolism* ; Tumor Microenvironment ; Signal Transduction ; Animals

Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P＜0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P＜0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P＜0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P＜0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

Objective To investigate the effects of three types of twin-block(TB)appliances on the stress and displacement of anterior teeth,periodontal ligaments,and alveolar bone.Methods A three-dimensional(3D)finite element model was constructed,including maxillofacial bones,articular discs,teeth,and periodontal ligaments.Three types of twin-block appliances were designed:classic twin-block(classic-TB),twin-block with acrylic capping(capping-TB),and clear twin-block aligner(CTBA).All appliances had an inclination angle of 70°,and a masticatory force of 200 N was applied to their inclined planes.The finite element method was used to analyze the stress distribution and displacement differences of anterior teeth.Results All three types of TB appliances induced lingual tilting of maxillary anterior teeth and labial tilting of mandibular anterior teeth.The CTBA group showed the greatest lingual displacement and stress of maxillary anterior teeth,with a maximum stress of 30.6 MPa,while the mandibular anterior teeth in this group exhibited the smallest labial displacement(approximately 0.02 mm)and stress.Additionally,the CTBA group had the lowest compressive stress in mandibular anterior teeth,periodontal ligaments,and alveolar bone,whereas the classic-TB group had the highest.Conclusions In the treatment of Angle Class Ⅱ malocclusion,classic-TB(with or without acrylic capping)causes labial inclination of mandibular anterior teeth.Compared with classic-TB,CTBA effectively reduces the compressive stress and displacement of mandibular anterior teeth,potentially minimizing adverse periodontal risks.However,attention should be paid to the lingual displacement of maxillary anterior teeth.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P＜0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P＜0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P＜0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P＜0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.

Objective To investigate the effects of three types of twin-block(TB)appliances on the stress and displacement of anterior teeth,periodontal ligaments,and alveolar bone.Methods A three-dimensional(3D)finite element model was constructed,including maxillofacial bones,articular discs,teeth,and periodontal ligaments.Three types of twin-block appliances were designed:classic twin-block(classic-TB),twin-block with acrylic capping(capping-TB),and clear twin-block aligner(CTBA).All appliances had an inclination angle of 70°,and a masticatory force of 200 N was applied to their inclined planes.The finite element method was used to analyze the stress distribution and displacement differences of anterior teeth.Results All three types of TB appliances induced lingual tilting of maxillary anterior teeth and labial tilting of mandibular anterior teeth.The CTBA group showed the greatest lingual displacement and stress of maxillary anterior teeth,with a maximum stress of 30.6 MPa,while the mandibular anterior teeth in this group exhibited the smallest labial displacement(approximately 0.02 mm)and stress.Additionally,the CTBA group had the lowest compressive stress in mandibular anterior teeth,periodontal ligaments,and alveolar bone,whereas the classic-TB group had the highest.Conclusions In the treatment of Angle Class Ⅱ malocclusion,classic-TB(with or without acrylic capping)causes labial inclination of mandibular anterior teeth.Compared with classic-TB,CTBA effectively reduces the compressive stress and displacement of mandibular anterior teeth,potentially minimizing adverse periodontal risks.However,attention should be paid to the lingual displacement of maxillary anterior teeth.

ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.