BACKGROUND:Ligament flavum hypertrophy is the main cause of lumbar spinal stenosis,which is the result of multiple pathological factors working together.Currently,the molecular mechanism and pathway of action of ligament flavum hypertrophy are unclear,and there is a lack of effective non-surgical treatment options. OBJECTIVE:To investigate the molecular mechanisms of ligament flavum hypertrophy using methylation sequencing and transcriptome integration analysis methods. METHODS:Five normal ligament flavum tissue samples and five hypertrophic ligament flavum tissue samples were collected.Abnormal methylation sites and methylation status were recorded by methylation sequencing and abnormally expressed genes were recorded by transcriptome integration analysis.The genes that showed a negative correlation between methylation level and expression level at the intersection of the two were selected.GO and KEGG enrichment analyses were used to study the major functional pathways and molecular functions of differentially expressed genes.Key genes regulating ligamentum flavum hypertrophy were screened using protein-protein interaction analysis. RESULTS AND CONCLUSION:Methylation sequencing of the two groups of the ligament flavum showed 37 173 hypermethylation sites and 10 583 low methylation sites.Transcriptome integration analysis found 720 abnormally expressed genes,of which 463 were upregulated and 257 were down-regulated.There were 383 overlapping genes,of which 192 genes showed a negative correlation between the methylation level and the expression level.GO functional pathway analysis results showed that molecular function was enriched to 10 terms,cellular component was enriched to 15 terms,and biological process(BP)was enriched to 30 terms.The results of KEGG pathway enrichment analysis showed that 192 genes were mainly enriched to 9 pathways,such as PI3K-Akt signaling pathway,Rap1 signaling pathway,and focal adhesion signaling pathway.The protein-protein interaction analysis identified five genes,PPARG,EGFR,CNR1,TNF and COL11A2,which may be the key genes that regulate ligamentum flavum hypertrophy,and they can influence the occurrence and development of ligamentum flavum hypertrophy mainly through the regulation of tissue fibrosis,cell proliferation and differentiation,inflammatory factor levels,and collagen fiber expression.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Objective To investigate the global burden of visceral leishmaniasis (VL) from 1990 to 2021 and predict the trends in the burden of VL from 2022 to 2035, so as to provide insights into global VL prevention and control. Methods The global age-standardized incidence, prevalence, mortality and disability-adjusted life years (DALYs) rates of VL and their 95% uncertainty intervals (UI) were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources. The trends in the global burden of VL were evaluated with average annual percent change (AAPC) and 95% confidence interval (CI) from 1990 to 2021, and gender-, age-, country-, geographical area- and socio-demographic index (SDI)-stratified burdens of VL were analyzed. The trends in the global burden of VL were projected with a Bayesian age-period-cohort (BAPC) model from 2022 to 2035, and the associations of age-standardized incidence, prevalence, mortality, and DALYs rates of VL with SDI levels were examined with a smoothing spline model. Results The global age-standardized incidence [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)], prevalence [AAPC = -0.06%, 95% CI: (-0.06%, -0.06%)], mortality [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)] and DALYs rates of VL [AAPC = -2.38%, 95% CI: (-2.44%, -2.33%)] all appeared a tendency towards a decline from 1990 to 2021, and the highest age-standardized incidence [2.55/10⁵, 95% UI: (1.49/10⁵, 4.07/10⁵)], prevalence [0.64/10⁵, 95% UI: (0.37/10⁵, 1.02/10⁵)], mortality [0.51/10⁵, 95% UI: (0, 1.80/10⁵)] and DALYs rates of VL [33.81/10⁵, 95% UI: (0.06/10⁵, 124.09/10⁵)] were seen in tropical Latin America in 2021. The global age-standardized incidence and prevalence of VL were both higher among men [0.57/10⁵, 95% UI: (0.45/10⁵, 0.72/10⁵); 0.14/10⁵, 95% UI: (0.11/10⁵, 0.18/10⁵)] than among women [0.27/10⁵, 95% UI: (0.21/10⁵, 0.33/10⁵); 0.06/10⁵, 95% UI: (0.05/10⁵, 0.08/10⁵)], and the highest mortality of VL was found among children under 5 years of age [0.24/10⁵, 95% UI: (0.08/10⁵, 0.66/10⁵)]. The age-standardized incidence (r = -0.483, P < 0.001), prevalence (r = -0.483, P < 0.001), mortality (r = -0.511, P < 0.001) and DALYs rates of VL (r = -0.514, P < 0.001) correlated negatively with SDI levels from 1990 to 2021. In addition, the global burden of VL was projected with the BAPC model to appear a tendency towards a decline from 2022 to 2035, and the age-standardized incidence, prevalence, mortality and DALYs rates were projected to be reduced to 0.11/10⁵, 0.03/10⁵, 0.02/10⁵ and 1.44/10⁵ in 2035, respectively. Conclusions Although the global burden of VL appeared an overall tendency towards a decline from 1990 to 2021, the burden of VL showed a tendency towards a rise in Central Asia and western sub-Saharan African areas. The age-standardized incidence and prevalence rates of VL were relatively higher among men, and the age-standardized mortality of VL was relatively higher among children under 5 years of age. The global burden of VL was projected to continue to decline from 2022 to 2035.

OBJECTIVE To investigate the effect and mechanism of bumetanide on lung injury in chronic obstructive pulmonary disease （COPD） model rats. METHODS COPD rat model was induced by lipopolysaccharide， and they were randomly divided into model group （COPD group）， bumetanide low-dose and high-dose groups （Bumetanide-L group， Bumetanide-H group）， bumetanide high-dose+Yes-associated protein/transcriptional coactivator containing PDZ-binding motif （YAP/TAZ） signaling pathway activator group （Bumetanide-H+PY-60 group）， with 12 rats in each group. Another 12 normal rats were selected as normal control group （Control group）. Thirty minutes before modeling， bumetanide/normal saline was inhaled or/and PY-60/ normal saline was injected into the tail vein. On the next day after the completion of modeling and drug administration， the pulmonary function index of the rats in each group was measured [forced expiratory volume in 0.3 seconds （FEV0.3）， forced vital capacity （FVC）， peak expiratory flow （PEF）， FEV0.3/FVC]. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-1β in bronchoalveolar lavage fluid （BALF） were determined； the pathological morphology of lung tissue and degree of pulmonary fibrosis were observed. The expression levels of transforming growth factor- β （TGF- β）， α -smooth muscle actin （α-SMA） and TAZ protein as well as the phosphorylation of YAP protein in lung tissues were detected. RESULTS Compared with COPD group， the pathological injury of lung tissue in Bumetanide-L and Bumetanide-H groups was alleviated； the exfoliation of lung epithelial cells， tube wall thickening and the degree of pulmonary fibrosis were alleviated； inflammatory cell infiltration was reduced， and blue collagen deposition was reduced； FEV0.3， FVC， FEV0.3/FVC and PEF were significantly increased， while the lung injury score， levels of TNF-α， IL-6， IL-1β， expression levels of TGF-β， α-SMA and TAZ protein and the phosphorylation of YAP protein were significantly decreased （P＜0.05）. PY-60 could significantly reverse the improvement effects of bumetanide on above indexes （P＜0.05）. CONCLUSIONS Bumetanide can alleviate lung injury， inflammatory response and pulmonary fibrosis in COPD rats， and its mechanism is related to inhibiting YAP/TAZ signaling pathway.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

OBJECTIVE To establish a pharmaceutical management model for infusion safety in hospitalized inpatients and ensure the safety of drug use. METHODS Our hospital established the standardized management process for infusion scheme， formulated rules for compatibility contraindications in drug combinations. In the form of embedded hospital official account, the infusion scheme and medication guidance WeChat developed by pharmacists are pushed to the mobile phone of inpatients, providing electronic medication guidance services for patients, and forming a pharmaceutical management model for infusion safety of inpatients. RESULTS Our hospital provided a total of 45 291 inpatients with pharmaceutical services including the formulation of individualized infusion scheme and WeChat push infusion scheme and medication guidance as of December 2023. After the implementation of the management model， the intervention rate of pharmacists on the compatibility contraindications in drug combination of long-term medical orders for inpatients increased from 18.25% before implementation to 90.58% （P＜0.01）， and the satisfaction rate of inpatients increased from 87.50% to 94.50% （P＜0.05）. CONCLUSIONS The pharmaceutical management model for infusion safety of hospitalized patients integrates pharmaceutical services throughout the entire process of intravenous medication treatment. Pharmacists can participate in the management of infusion usage while providing qualified finished infusion products, achieving closed-loop management of pharmaceutical services, improving the hospital’s pharmaceutical service capabilities and patient satisfaction, and providing guarantees for the safety and effectiveness of patient medication.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Objective: To explore the impacts of coal mine dust on lung function in rats, so as to provide the basis for the early prevention and treatment of coal worker's pneumoconiosis. Methods: Seventy-two SPF-grade 8-week-old male Sprague-Dawley rats were randomly divided into the coal dust group, the coal-silica dust group, the silica dust group and the control group. The rats in the first three groups of rats were administered 1 mL corresponding dust suspension into the lungs using non-exposure tracheal instillation, while the rats in the control group were administered 1 mL normal saline. Respiratory rate (f), forced vital capacity (FVC), peak expiratory flow (PEF) and dynamic pulmonary compliance (Cdyn) were measured at 1, 3 and 6 months after dust exposure. Lung tissues were collected to measure reactive oxygen species (ROS) and adenosine triphosphate (ATP) levels using corresponding ELISA kits and ATP assay kits, respectively. The relative mRNA expressions of peroxisome proliferators-activated receptor gamma coactivator 1-alpha (PGC-1α) and mitochondrial transcription factor A (TFAM) were detected using real-time fluorescent quantitative polymerase chain reaction assay. The relative protein expressions of PGC-1α and TFAM were detected using Western blotting. Results: There was no interaction between dust type and exposure duration on f (P>0.05), but there were interactions on FVC, PEF and Cdyn (all P<0.05). Compared with the control group at 6 months after dust exposure, the f of the rats in the silica dust group were increased, while the FVC and PEF of the rats in the coal-silica dust and silica dust groups were decreased, and Cdyn of the rats in the coal dust, coal-silica dust and silica dust groups were decreased (all P<0.05). There were interactions between dust type and exposure duration on ROS and ATP levels, the relative mRNA and protein expressions of PGC-1α and TFAM (all P<0.05). Compared with the control group at 3 and 6 months after dust exposure, the ROS levels in the rats in the coal dust, coal-silica dust and silica dust groups were increased, while the ATP levels, the relative mRNA and protein expressions of PGC-1α and TFAM were decreased (all P<0.05). Conclusion The lung function impairment in rats caused by different types of coal mine dust is related to PGC-1α-mediated mitochondrial biogenesis dysfunction, which leads to increased ROS levels, decreased ATP and TFAM levels.

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.

Diabetic kidney disease （DKD） is a kidney disease caused by hyperglycemia，which is one of the most common microvascular complications of diabetes. Due to the high incidence of diabetes，the incidence of DKD has also increased year by year，and DKD has become a global public health problem. The pathogenesis of DKD is related to mechanisms such as oxidative stress，inflammation，renal fibrosis，and decreased mitophagy activity，which are developed under a variety of complex mechanisms. In traditional Chinese medicine，it is believed that the incidence of DKD is closely related to damp heat. Therefore，it is necessary to grasp the treatment method of clearing heat and removing dampness in clinical medication. Huangkui Capsules （HKC） have the effect of clearing damp heat，detoxifying， and detumescence. Because of its unique curative effect on DKD，HKC is often used in the treatment of DKD. HKC plays a role in the treatment of DKD with a variety of pharmacokinetic and pharmacodynamic processes. In many laboratory studies，it has been found that the specific mechanisms of HKC in the treatment of DKD include increasing mitophagy，reducing mitochondrial damage，reducing renal fibrosis，controlling inflammatory response，and inhibiting oxidative stress，which can achieve the purpose of reducing renal damage and promoting renal function. Some clinical studies have also verified that the application of HKC alone can exert renal protective function through anti-inflammatory，anti-oxidative stress，anti-renal fibrosis effects，as well as reduction of urinary protein. Since DKD is not a single injury of renal function，it is often accompanied by problems in blood pressure，blood lipids，blood circulation，body immunity， and other aspects. Therefore，the combination of HKC with other drugs can often achieve more comprehensive results，improve the advantages of various drugs，and improve the therapeutic effect. The combination of drugs such as antihypertensive，lipid-lowering， vascular circulation improvement，immunity inhibition，and anti-oxidative stress with HKC has achieved good results. In addition，HKC is often used in combination with other Chinese patent medicines in clinics. The application of HKC in the treatment of DKD has made some progress，but there are still many places worthy of further study，and the research on the mechanism of HKC is not comprehensive enough. The research on its long-term effect and safety in clinical application is relatively lacking，and the drug variety is relatively single when combined with certain drugs. These problems deserve further attention. Finally，it is necessary to pay attention to the promotion and application of HKC in clinical practice so that HKC can be better applied in clinical practice and better solve practical problems for patients.