During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Objective : To analyze the epidemiological characteristics and spatial clustering of brucellosis in Shanxi Province from 2019 to 2023, so as to provide a reference for formulating prevention and control measures of brucellosis. Methods: The case data of brucellosis in Shanxi Province from 2019 to 2023 were collected through the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System. The seasonal distribution, population distribution, and region distribution of brucellosis cases were described. Spatial autocorrelation analysis was applied to explore the spatial clustering characteristics of brucellosis. Results: A total of 21 241 human brucellosis cases were reported in Shanxi Province from 2019 to 2023, with an average annual reported incidence of 11.87/100 000, showing an upward trend (P<0.05). The peak incidence period was from March to August, with 14 163 cases reported cumulatively, accounting for 66.68% of the total. There were 16 336 male cases and 4 905 female cases, with a male-to-female ratio of 3.33:1. The high-incidence age group was 40-<70 years, with 15 675 cases accounting for 73.80%. The majority of patients were farmers, with 17 926 cases accounting for 84.39%. Spatial autocorrelation analysis showed that there was spatial clustering in the incidence of brucellosis from 2019 to 2023 (all Moran's I>0, P<0.05). The high-high clustering areas were mainly Datong City, and Shuozhou City in northern Shanxi, and Linfen City in the southern Shanxi. The low-low clustering areas were mainly Taiyuan City and Yangquan City in central Shanxi, and Changzhi City and Jincheng City in southeastern Shanxi. Conclusions From 2019 to 2023, the reported incidence of brucellosis in Shanxi Province showed an upward trend. The incidence peaked from March to August, and males, middle-aged and elderly people and farmers were the high-risk groups. There was spatial clustering and the high-high clustering areas gradually expanded from northern Shanxi to southern Shanxi.

OBJECTIVE To evaluate the global cancer-associated thromboembolism risk assessment tools based on evidence- based methods， and to provide methodological reference and evidence-based basis for constructing a specific tool in China. METHODS A comprehensive search was conducted on 6 databases， including CNKI， Wanfang data， VIP， CBM， PubMed， and Embase， as well as on the websites of NCCN， ASCO， ESMO and so on with a deadline of June 30， 2022. Furthermore， a supplementary search was conducted in January 2023. The essential characteristics and methodological quality of included risk assessment tools were described and analyzed qualitatively， focusing on comparing each assessment stratification ability. RESULTS Totally 14 risk assessment tools were included in the study， with a sample size of 208-18 956 cases and an average age distribution of 53.1-74.0 years. The applicable population included outpatient cancer student@sina.com patients， lymphoma patients， and multiple myeloma patients，etc. The common predictive factors were body mass index， venous thromboembolism history， and tumor site. All tools had undergone methodological validation， with 9 presented in a weighted scoring format. Only seven tools were used simultaneously for specificity， sensitivity， negative predictive value （NPV）， positive predictive value （PPV） and area under the curve （AUC） or C statistical analysis. CONCLUSIONS The risk of bias in constructing existing tools is high， and the heterogeneity of tool validation results is significant. The overall methodological quality must be improved， and its risk stratification ability must also be investigated. There are still certain limitations in clinical practice in China.

Objective To explore the prognostic value and immune infiltration landscape of anoikis-related long noncoding RNAs (arlncRNAs) in lung adenocarcinoma. Methods RNA-seq and clinical data of lung adenocarcinoma were downloaded from the TCGA database, and anoikis-related genes were obtained from the GeneCards and Harmonizome databases. Coexpression, differential, and WGCNA analyses were performed to screen differentially expressed arlncRNAs closely related to the occurrence of lung adenocarcinoma. A prognostic risk model was then constructed based on the arlncRNAs, and its predictive efficacy was further validated. Finally, consensus clustering was used to identify the molecular subtypes associated with anoikis in lung adenocarcinoma. Results Seven prognostic arlncRNAs were identified, and the prognostic risk models established based on them had AUC values of ROC curves greater than 0.7. Survival and immune infiltration analyses revealed that low-risk patients had high overall survival and immune infiltration, implying that they experienced good immune treatment effects. Drug sensitivity analysis showed that the high-risk patients were more sensitive to commonly used chemotherapeutic agents than the low-risk patients. According to the expression of model genes, subtypes C1 and C2 were identified through consensus clustering, and C1 showed a good prognosis. Conclusion The prognostic risk model based on the seven arlncRNAs can effectively predict the prognosis of lung adenocarcinoma patients. The results of immune-related and drug sensitivity analyses provide a reference for the precise individualized treatment of patients with lung adenocarcinoma.

Objective To evaluate the pharmacokinetics characteristics of single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects.Methods This was a single-center,randomized,double-blind,placebo-controlled study.Twelve healthy adult Chinese subjects were randomized to receive single-dose of Etripamil nasal spray 70 mg(n=10)or placebo nasal spray(n=2).Blood and urine samples were collected prior and post dose.Etripamil in plasma and urine were analyzed by liquid chromatography-tandem mass spectrometry.The pharmacokinetic parameters were calculated by WinNonlin non-compartmental model.Results Following the single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects,the peak concentration of Etripamil in plasma was quickly attained,with a Cmax of(66.76±56.61)ng·mL-1 and a median(range)tmax of 4.00(3.00-5.00)min.The plasma concentrations of Etripamil had fallen approximately 65％from peak value at 25 min after dosing,and close to 80％within 50 min.The AUC0-last and AUC0-∞ were(3 104.16±2 654.46)and(4 048.77±2 682.38)ng·min·mL-1,respectively.The urine excretion percentage of Etripamil during 24 h was(0.01±0.01)％.Among the 12 subjects who were treated with Etripamil or placebo,10 subjects reported a total of 29 treatment-emergent adverse events(TEAEs).All of the TEAEs were mild in severity.The most common TEAEs were rhinorrhoea and lacrimation increased.Conclusion Etripamil was quickly absorbed after intranasal administration,followed by rapid distribution and elimination(not primarily excreted by renal);Etripamil 70 mg was safe and well tolerated by the healthy Chinese adult subjects.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

Hypertension and its associated cardiovascular diseases such as stroke and ischemic heart disease result in a high burden of disease and health losses, making it the most burdensome disease in the world and one of the important public health issues in China. Currently Chinese scholars have carried out a large number of studies on the prevalence of hypertension, including regional and national prevalence studies. However, long-term follow-up studies on incidence of hypertension are relatively few and mostly limited to specific ages and regions. This paper summarizes the prevalence, incidence and epidemiological trend of hypertension in Chinese adults. The hypertension prevalence increased from 5.1% in 1959 to 27.5% in 2018, and presents an overall trend of high in the north and low in the south. The hypertension incidence is at a high level (the cumulative incidence was 33.4% after 22 years-follow-up), but there are few researches on the trend of hypertension incidence in huge region.

ObjectiveRapid and accurate identification of body fluid traces at crime scenes is crucial for case investigation. Leveraging the speed and sensitivity of nucleic acid detection technology based on SHERLOCK, our research focuses on developing a peripheral blood SHERLOCK-HBA detection system to detect mRNA in forensic practice. MethodsShort crRNA fragments targeting the blood-specific mRNA gene HBA were designed and screened, alongside RPA primers. Optimal RPA primers were selected based on specificity and amplification efficiency, leading to the establishment of the RPA system. The most efficient crRNA was chosen based on relative fluorescence units (RFU) generated by the Cas protein reaction, and the Cas protein reaction system was constructed to establish the SHERLOCK-HBA detection method. The RPA and Cas protein reaction systems in the SHERLOCK detection system were then individually optimized. A total of 79 samples of five body fluids were tested to evaluate the method’s ability to identify blood, with further verification through species-specific tests, sensitivity tests, mixed spots detection, aged samples, UV-irradiated samples, and actual casework samples. ResultsThe SHERLOCK reaction system for the peripheral blood-specific marker HBA was successfully established and optimized, enabling detection within 30 min. The method demonstrated a detection limit of 0.001 ng total RNA, better than FOB strip method and comparable to RT-PCR capillary electrophoresis. The system could detect target body fluids in mixed samples and identify blood in samples stored at room temperature for three years and exposed to UV radiation for 32 h. Detection of 11 casework samples showed performance comparable to RT-PCR capillary electrophoresis. ConclusionThis study presents a CRISPR/Cas-based SHERLOCK-HBA detection system capable of accurately, sensitively, and rapidly identifying blood samples. Introducing CRISPR/Cas technology to forensic body fluid identification represents a significant advancement in applying cutting-edge molecular biology techniques to forensic science.The method’s simplicity, shorter detection time, and independence from specialized equipment make it promising for rapid blood sample identification in forensic cases.

Objective:To screen genetic and epigenetic expression differences associated with pulmonary embolism through integrated bioinformatics analysis.Methods:Four patients with pulmonary embolism and healthy physical examination in the Third Affiliated Hospital of Xinjiang Medical University in 2019 were selected as the research objects, using high-throughput sequencing technologies and methylation chip technology to detect, screening and integrated peripheral blood difference genomes and the epigenome data to identify the pathogenesis of pulmonary embolism caused by methylation of drive and differentially expressed genes, GO and KEGG enrichment analysis were performed.Results:Coexpression analysis of DNA methylation and gene expression data between the pulmonary embolism group and the healthy control group showed that differential methylation in the upstream region of genes was negatively correlated with gene expression. Among them, 8 significantly methylated genes in the upstream region of genes were screened out, and independent sample t-test and Pearson correlation analysis were done. In the pulmonary embolism group, there were 6 significant methylated genes of TSS1500, namely TSPO2, C1QA, AQP1, TNFSF9, MIA and STAB1, and the differential expression multiple log2FC of corresponding genes was 1.298, 1.629, 1.024, 2.746, 2.539, 1.060, respectively. The correlation between gene expression and gene methylation were -0.908, -0.900, -0.824, -0.784, -0.783, -0.779, respectively, and the methylation differences between the two groups were -0.049, -0.053, -0.048, -0.057, -0.050, respectively. -0.053 ( P < 0.05). There were three significantly methylated genes in the TSS200 region, namely TSPO2, SLC9A, and SIGLEC1. The gene expression differential multiple log2FC was 1.298, -2.252, and 1.866, respectively. The correlation between gene expression and gene methylation was -0.860, -0.774, and -0.739, respectively. The methylation difference between the two groups was -0.051, 0.027, -0.048 ( P < 0.05). In the pulmonary embolism group, 7 genes, including TSPO2, C1QA, AQP1, TNFSF9, MIA, STAB1 and SIGLEC1, showed hypomethylation and high expression in the TSS region. SLC9A3 gene showed high methylation and low expression. In the analysis of GO function, significant enrichment was obtained in complement activation, immune response and activation protein cascade. In the KEGG signaling pathway, the immune system, bacterial infection, and signaling molecules and interactions are significantly enriched, thereby regulating the occurrence of pulmonary embolism. Conclusions:Based on the combined analysis of DNA methylation and gene expression, a new idea of the occurrence and development of pulmonary embolism has been found, which can be further studied in the future.

Objective To predict the core targets and action pathways of Hedysari Radix based on UPLC-MS/MS and network pharmacology methods,and to verify the results of network pharmacology by molecular docking and molecular dynamics techniques.This article aims to investigate immune regulation mechanism of effective components absorbed into blood from Hedysari Radix.Methods Qualitative quantification of effective components absorbed into blood from Hedysari Radix were operated by using UPLC-MS/MS technique.The corresponding targets of effective components absorbed into blood from Hedysari Radix were screened by TCMSP and HERB databases.Targets of immune-related disease were obtained through DisGeNET,OMIM,TTD,and MalaCards databases.The network of"components absorbed into blood from Hedysari Radix-immune-related diseases"was then constructed.GO and KEGG enrichment analysis and mapped the PPI network were performed.Molecular docking and molecular dynamics techniques were applied for validation.Results A total of 8 prototype components absorbed into blood,synergistically acting on 101 targets,were identified by UPLC-MS/MS.They mediated 538 biological processes including immune response,positive regulation of gene expression,receptor binding,and cytokine activity.Meanuhile,116 signaling pathways,such as HIF-1,Toll-like receptor,JAK-STAT,T cell receptor,PI3K-Akt,and FoxO etc.were involved.The core targets were MAPK14,PTGS2,MMP9,PPARG,CCND1,etc..The results of molecular docking showed that formononetin and calycosin had strong docking binding activity with MAPK14.And molecular dynamics simulations further demonstrated that the binding between MAPK14 and formononetin or calycosin had good structural stability and binding affinity.Conclusion The results of serum pharmacochemistry,network pharmacology and molecular dynamics were verified to reveal the material basis and mechanism of Hedysari Radix in regulating immunity.The aim of this study is to provide scientific basis for its immunomodulatory mechanism.