To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

To investigate the mutations of NF1 and clinical phenotypes in patients with sporadic neurofibromatosis type 1 (NF1). This is aimed to evaluate the efficacy of high-throughput sequencing in diagnosing atypical cases, to expand the mutational spectrum of NF1, and to provide early diagnosis of NF1. Clinical data from 11 sporadic NF1 patients without family history treated at the Fifth Affiliated Hospital of Sun Yat-sen University (2019-2023) were collected. The mutations of NF1 gene were detected using whole-exome sequencing or chip-capture high-throughput sequencing, followed by bioinformatics analysis. Novel mutations were screened against normal population databases to exclude benign polymorphisms, and pathogenicity of the mutations was classified according to ACMG guidelines. The results showed that two novel frameshift mutations were identified: c.7904del (p.Asp2635Valfs*9) and c.5122_5123del (p.Phe1708Hisfs*9). The patient carrying c.7904del exhibited an undocumented phenotype of posterior medullary ischemic degeneration. Among the 11 NF1 patients, the types of mutations included frameshift (4/11), nonsense (3/11), intronic (2/11), splicing (1/11), and start codon variants (1/11). Common phenotypes were cafe-au-lait macules (8/11) and neurofibromas (6/11), yet significant phenotypic heterogeneity existed among patients sharing identical mutations. In conclusion, this study discovered two novel NF1 mutations and an unreported phenotype, expanding both the NF1 mutational spectra and highlights the need for attention to cerebrovascular status in patients carrying NF1 mutations. High-throughput sequencing significantly enhances molecular diagnostic efficacy for atypical NF1, providing a critical basis for clinical NF1 diagnosis.

Objective To compare the short-term outcomes and postoperative complications of endoscopic submucosal dissection(ESD)and endoscopic mucosal resection(EMR)in the treatment of early colorectal cancer.Methods A total of 110 patients with early colorectal cancer who were admitted to Suining Central Hospital from June 2020 to June 2022 were prospectively enrolled and randomly assigned to two groups by random number table.Of them,58 patients underwent ESD and 52 patients underwent EMR.Operation related indexes,inflammatory factors(interleukin-6[IL-6],tumor necrosis factor-α[TNF-α],and C-reactive protein[CRP])before operation and 3 days after operation,and postoperative quality of life index(QL-Index)were compared between the two groups.The complications of the two groups were observed.Results The operation time,hospital stay,postoperative exhaust time,defecation time,and intraoperative blood loss in ESD group were lower than those in EMR group,and the rates of complete resection and en bloc resection in ESD group were higher than those in EMR group(P<0.05).The levels of IL-6,TNF-α and CRP were increased 3 d after operation in both groups,but the levels of IL-6,TNF-α and CRP in ESD group were lower than those in EMR group(P<0.05).The total score of QL-Index and the scores of activity,daily activities,health,and overall situation in ESD group were significantly higher than those in EMR group(P<0.05).The incidence of complications in ESD group was higher than that in EMR group,without significant difference(P>0.05).Conclusion The pocket ESD can effectively promote postoperative rehabilitation,increase resection rate,reduce postoperative inflammation,and improve the quality of life of patients with early colorectal cancer,and there is no obvious complication.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

To investigate the mutations of NF1 and clinical phenotypes in patients with sporadic neurofibromatosis type 1 (NF1). This is aimed to evaluate the efficacy of high-throughput sequencing in diagnosing atypical cases, to expand the mutational spectrum of NF1, and to provide early diagnosis of NF1. Clinical data from 11 sporadic NF1 patients without family history treated at the Fifth Affiliated Hospital of Sun Yat-sen University (2019-2023) were collected. The mutations of NF1 gene were detected using whole-exome sequencing or chip-capture high-throughput sequencing, followed by bioinformatics analysis. Novel mutations were screened against normal population databases to exclude benign polymorphisms, and pathogenicity of the mutations was classified according to ACMG guidelines. The results showed that two novel frameshift mutations were identified: c.7904del (p.Asp2635Valfs*9) and c.5122_5123del (p.Phe1708Hisfs*9). The patient carrying c.7904del exhibited an undocumented phenotype of posterior medullary ischemic degeneration. Among the 11 NF1 patients, the types of mutations included frameshift (4/11), nonsense (3/11), intronic (2/11), splicing (1/11), and start codon variants (1/11). Common phenotypes were cafe-au-lait macules (8/11) and neurofibromas (6/11), yet significant phenotypic heterogeneity existed among patients sharing identical mutations. In conclusion, this study discovered two novel NF1 mutations and an unreported phenotype, expanding both the NF1 mutational spectra and highlights the need for attention to cerebrovascular status in patients carrying NF1 mutations. High-throughput sequencing significantly enhances molecular diagnostic efficacy for atypical NF1, providing a critical basis for clinical NF1 diagnosis.

Objective To analyze differentially expressed genes and potential microRNA (miRNAs) with diagnostic and therapeutic potential in ulcerative colitis (UC) based on bioinformatics. Methods The chip raw data in GEO database was screened by weighted gene coexpression network analysis. UC related differentially expressed genes were obtained for enrichment analysis. Potential miRNAs associated with differentially expressed genes were predicted based on key genes, and gene-miRNA regulatory networks were constructed. Results A total of 277 differentially expressed genes were screened, of which 200 genes were up-regulated and 77 genes were down-regulated. Gene set enrichment analysis (GSEA) showed that the main enrichment pathways were neuroactive ligand-receptor interaction, leishmania infection, prion disease and electrocardiogram receptor interaction. The results of gene ontology (GO) analysis showed that it was mainly involved in chemokine activity, heparin binding as well as chemokine receptor binding and other items. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the main enrichment pathways were cytokine receptor interaction pathway, phosphatidylinositol-3 kinase/protein kinase B(PI3K-AKT) signaling pathway, chemokine signaling pathway as well as nuclear transcription factor kappa B(NF-κB) signaling pathway and other pathway. A total of 10 hub genes were screened: C-X-C chemokine ligand 8 (CXCL8), Toll-like receptor 2 (TLR2), intercellular adhesion molecule-1 (ICAM-1), selectin L (SELL), C-X-C chemokine receptor type 4 (CXCR4), cytotoxic T lymphocyte associated antigen 4 (CTLA4), cluster of differentiation 69 (CD69), and Biglycan (BGN), C-X-C chemokine ligand 13 (CXCL13), tissue inhibitor of metalloproteinases 1(TIMP1). A total of 12 potentially key miRNAs were identified, they were respectively hsa-mir-335-5p, hsa-mir-146a-5p, hsa-mir-92a-3p, hsa-mir-155-5p, hsa-mir-26b-5p, hsa-mir-4426, hsa-mir-4462b, hsa-mir-4647, hsa-mir-32-5p, hsa-mir-92b-3p, hsa-mir-98-5p and hsa-mir-93-5p, respectively. Conclusion In this study, a total of 277 differentially expressed genes are screened for possible involvement in the development of UC, and 10 hub genes and 12 miRNAs are identified as possible biomarkers for UC.

Objective To propose a new method for mining compatibility rules of traditional Chinese medicine (TCM) formulation from the perspective of weighted projection of bipartite networks, and to predict the combination of new drugs to provide a basis for guiding the clinical treatment of acute nasopharyngitis. Methods Using the acute nasopharyngitis prescription data in the Traditional Chinese Medicine Integrated Database (TCMID) as the data source, a bipartite network is constructed by extracting the prescription and drug nodes.A drug network projection map was then obtained using weighted projection.Social network analysis was performed combined with weighted projection of bipartite networks, and compatibility rules of "Jun-Chen-Zuo-Shi" in TCM via hierachical cluster analysis based on Pearson correlation.Besides, link prediction was used for core drug prediction. Results The combination of bipartite network weighted projection and Pearson correlation for systematic clustering analysis played a significant role in the study of the compatibility rules of TCM prescriptions.In link prediction, 11 link prediction indicators were selected, and weighted and unweighted algorithms were distinguished.The final calculation showed that the area under the curve (AUC) of the weighted indicators were generally higher than that of the unweighted network.Among the weighted indicators, the indicator with the highest AUC index was the network resource allocation Index.A total of 7 groups of drug combinations were predicted, including Baitouweng-Maokezi, Anxixiang-Shijiaocao, Baihuacha-Fuzi, etc. Conclusion The bipartite network weighted projection method is practical and effective in revealing the compatibility rules of TCM and predicting drug combination.

Objective To explore the value of shear wave elastography(SWE)in the early assessment of hepatic and renal fibrosis in patients with metabolic associated fatty liver disease(MAFLD).Methods A total of 52 MAFLD patients admitted to the Second Affiliated Hospital of Wenzhou Medical University from July 2023 to May 2024 were selected as MAFLD group,and 40 non-MAFLD patients treated during the same period were served as control group.General information,laboratory data and ultrasound data were collected and compared between two groups.The differences as well as the correlation of the indicators between two groups were compared.The value of SWE in hepatic fibrosis and renal fibrosis in MAFLD patients was assessed.Results Liver function indicators,uric acid and aspartate aminotransferase-to-platelet ratio index(APRI)in MAFLD group were higher than those in control group(P＜0.01);There were no statistically significant differences between two groups in fibrosis 4 index,estimated glomerular filtration rate,serum creatinine and blood urea nitrogen(P＞0.05).The brightness of the liver,liver-kidney ratio,and liver elasticity value were higher in MAFLD group than those in control group(P＜0.05);There was no significant difference in the elasticity value of the right renal cortex between two groups(P＞0.05).Liver elasticity values was positively correlated with alanine aminotransferase(ALT);The liver-kidney ratio was positively correlated with body mass index(BMI),ALT,aspartate aminotransferase,alkaline phosphatase,y-glutamyl transferase and APRI.No significant correlation was found between the right renal cortex elasticity and BMI,estimated glomerular filtration rate,serum creatinine,blood urea nitrogen,or serum uric acid.Conclusion SWE helps in early identification of liver hardness in the MAFLD patients.But the application of SWE in early renal fibrosis in the MAFLD patients needs further evaluation.

Objective:To explore the protective mechanism of Xuebijing injection (referred to as Xuebijing) on sepsis-associated acute respiratory distress syndrome (ARDS).Methods:① Animal experiments: 100 mice were randomly(random number) divided into 4 groups, including sham operation (Sham) group, cecal ligation and puncture (CLP) group, CLP+low-dose Xuebijing (L-XBJ) group, and CLP+high-dose Xuebijing (H-XBJ) group. The survival rate, lung histological changes, lung wet/dry (W/D) ratio, cell count and protein concentration in bronchoalveolar lavage fluids (BALF), inflammatory factors levels in serum, oxidative stress indicators, cell apoptosis, and key proteins of HIF-1α/p38 MAPK/NF-κB signaling pathway were measured. ② Cell experiments: Mouse alveolar macrophages (MH-S) were cultured in vitro and divided into 6 groups, including control (Con) group, lipopolysaccharide (LPS) group, LPS+L-XBJ group, and LPS+H-XBJ group, LPS+H-XBJ+ dimethyloxallyl glycine (DMOG, HIF-1α activator) group, LPS+H-XBJ+ 2-methoxyestradiol (2ME2, HIF-1α inhibitor) group. The effects of Xuebijing on inflammatory factors, oxidative stress, and cell apoptosis and their relationship with HIF-1α/p38 MAPK/NF-κB signaling pathway were detected.Results:Xuebijing increased the survival rate of mice with sepsis-associated ARDS, relieved lung tissue damage [lung injury score: CLP group (8.778±0.588), CLP+L-XBJ group (5.833±0.310), and CLP+H-XBJ group (4.750±0.246)], alleviated lung W/D ratio, and decreased pneumonia cell infiltration and protein exudation (all P<0.05). Additionally, Xuebijing treatment also diminished the expression of inflammatory factors (TNF-α, IL-1β, and IL-6), intracellular reactive oxygen species (ROS) accumulation, malondialdehyde (MDA) formation, superoxide dismutase (SOD) depletion, and cell apoptosis in LPS-induced MH-S cells and CLP-induced sepsis-associated ARDS mice (all P<0.05). Furthermore, mechanistic investigation further clarified the effects of Xuebijing on inflammation, oxidative stress, and cell apoptosis through the HIF-1α/p38 MAPK/NF-κB signaling pathway. Conclusions:Xuebijing can exert anti-inflammatory, anti-oxidative, and anti-apoptotic effects by suppressing the HIF-1α/p38 MAPK/NF-κB signaling pathway, thereby conferring protection against sepsis-associated ARDS.

Screening and evaluating the diseases responding specifically to traditional Chinese medicine （TCM） will help to highlight the advantages of TCM treatment， and the evaluation method should be standardized with consideration to the unique characteristics of the diseases. The incidence of Sjögren's Syndrome （SS） is increasing year by year， while the pathogenesis of this disease remains unclear. Modern therapies for this disease include biological agents and immunosuppressants， which generally have unsatisfactory efficacy. The TCM treatment of SS focuses on the harmony of the physical and mental health. The Rheumatology Branch of the China Association of Chinese Medicine organizes experts in TCM， Western medicine， and evidence-based medicine to form working groups. Delphi method and bibliometric method were used for analysis， and SS was selected as a disease responding specifically to TCM. Furthermore， the evaluation system was established for this disease， and the consensus regarding this disease was reached after seminar discussion. This paper summarized the whole process of the evaluation of the advantages of TCM treatment of SS. First， because TCM atomization is widely used in clinical practice and enriches TCM administration methods， this therapy is included after other non-drug therapies were taken as characteristic therapies. Second， the evaluation indicators of therapeutic effect should be determined with consideration to international acceptance and the current research status. Third， the expression method should be accurate， standardized， and objective， highlight the natural advantages of TCM， and avoid arbitrary extension. This paper provides a reference for clinicians to explore other diseases responding specifically to TCM.