OBJECTIVE To assess the correlation between the steady-state minimal concentration （cmin） and 24 h area under the drug concentration-time curve （AUC24）/minimal inhibitory concentration （MIC） ratio （AUC24/MIC） of vancomycin in pediatric patients， and analyze independent risk factors for treatment failure. METHODS Data of hospitalized children treated with vancomycin and receiving therapeutic drug monitoring in our hospital from January 2021 to July 2024 were retrospectively collected and divided into success group and failure group according to whether the treatment was successful or not. Spearman correlation analysis was used to analyze the correlation between cmin and AUC24/MIC of vancomycin， and one-way and multifactorial Logistic regression analyses were used to screen the independent risk factors for vancomycin treatment failure. RESULTS A total of 59 children were included， with 41 in the success group and 18 in the failure group. Compared with the failure group， AUC24/MIC of vancomycin was significantly higher in the success group （P＝0.038）， but there was no statistically significant difference in the cmin of the two groups （P＞0.05）； cmin of vancomycin was significantly positively correlated with AUC24/MIC （r＝0.499， P＜0.001）， but it has a certain efficacy in predicting the achievement of the AUC24/MIC standard （≥400） （area under the receiver operator characteristic curve＝0.696）， with an optimal cutoff value of 6.05 mg/L determined by the Youden index. The efficacy of AUC24/ MIC in predicting treatment failure was superior to cmin （areas under the receiver operator characteristic curve were 0.671 vs. 0.523， P were 0.038 vs. 0.684）， with higher sensitivity （83.3% vs. 66.7%）. Hypoproteinemia and AUC24/MIC≤369.1 were independent risk factors for vancomycin treatment failure （P＜0.05）. The incidence of nephrotoxicity was 3.4%. CONCLUSIONS There is a significant positive correlation between cmin and AUC24/MIC of vancomycin in pediatric patients； hypoproteinemia and AUC24/MIC≤369.1 are independent risk factors for vancomycin treatment failure in children.

Fibrosis, the pathological scarring of vital organs, is a severe and often irreversible condition that leads to progressive organ dysfunction. It is particularly pronounced in organs like the liver, kidneys, lungs, and heart. Despite its clinical significance, the full understanding of its etiology and complex pathogenesis remains incomplete, posing substantial challenges to diagnosing, treating, and preventing the progression of fibrosis. Among the various molecular players involved, platelet-derived growth factor-C (PDGF-C) has emerged as a crucial factor in fibrotic diseases, contributing to the pathological transformation of tissues in several key organs. PDGF-C is a member of the PDGFs family of growth factors and is synthesized and secreted by various cell types, including fibroblasts, smooth muscle cells, and endothelial cells. It acts through both autocrine and paracrine mechanisms, exerting its biological effects by binding to and activating the PDGF receptors (PDGFRs), specifically PDGFRα and PDGFRβ. This binding triggers multiple intracellular signaling pathways, such as JAK/STAT, PI3K/AKT and Ras-MAPK pathways. which are integral to the regulation of cell proliferation, survival, migration, and fibrosis. Notably, PDGF-C has been shown to promote the proliferation and migration of fibroblasts, key effector cells in the fibrotic process, thus accelerating the accumulation of extracellular matrix components and the formation of fibrotic tissue. Numerous studies have documented an upregulation of PDGF-C expression in various fibrotic diseases, suggesting its significant role in the initiation and progression of fibrosis. For instance, in liver fibrosis, PDGF-C stimulates hepatic stellate cell activation, contributing to the excessive deposition of collagen and other extracellular matrix proteins. Similarly, in pulmonary fibrosis, PDGF-C enhances the migration of fibroblasts into the damaged areas of lungs, thereby worsening the pathological process. Such findings highlight the pivotal role of PDGF-C in fibrotic diseases and underscore its potential as a therapeutic target for these conditions. Given its central role in the pathogenesis of fibrosis, PDGF-C has become an attractive target for therapeutic intervention. Several studies have focused on developing inhibitors that block the PDGF-C/PDGFR signaling pathway. These inhibitors aim to reduce fibroblast activation, prevent the excessive accumulation of extracellular matrix components, and halt the progression of fibrosis. Preclinical studies have demonstrated the efficacy of such inhibitors in animal models of liver, kidney, and lung fibrosis, with promising results in reducing fibrotic lesions and improving organ function. Furthermore, several clinical inhibitors, such as Olaratumab and Seralutinib, are ongoing to assess the safety and efficacy of these inhibitors in human patients, offering hope for novel therapeutic options in the treatment of fibrotic diseases. In conclusion, PDGF-C plays a critical role in the development and progression of fibrosis in vital organs. Its ability to regulate fibroblast activity and influence key signaling pathways makes it a promising target for therapeutic strategies aiming at combating fibrosis. Ongoing research into the regulation of PDGF-C expression and the development of PDGF-C/PDGFR inhibitors holds the potential to offer new insights and approaches for the diagnosis, treatment, and prevention of fibrotic diseases. Ultimately, these efforts may lead to the development of more effective and targeted therapies that can mitigate the impact of fibrosis and improve patient outcomes.

ObjectiveTo construct an intelligent model for literature screening， retrieval， and data extraction with a systematic review of coronary heart disease syndromes as an example， so as to improve the efficiency of evidence-based Chinese medicine research. MethodsBased on China National Knowledge Infrastructure （CNKI）， VIP and Wanfang Data Resource System， the articles related to coronary heart disease syndrome research published from January 1， 2000 to December 31， 2023 were retrieved. Automated tools were used to batch retrieve paper metadata. Using text similarity algorithms， papers were merged， deduplicated， and subjected to preliminary screening based on titles and abstracts. Further screening was performed using object detection and image processing technologies on the full texts and statistical tables. Natural language processing （NLP） techniques and pre-trained models were applied to extract information. ResultsThe initial search retrieved 56 255 coronary heart disease syndrome-related articles. By artificial intelligence-assisted preliminary and secondary screening， the manual verification scope was narrowed to 1075 articles. Ultimately， 646 coronary heart disease syndrome related studies were included manually. With accuracy verification showing over 90% consistency in semantic recognition and element decomposition processes， we achieved data extraction and standardization processing for both basic literature information and 38 syndrome element statistics. ConclusionBy incorporating natural language processing， pre-trained models， artificial intelligence image processing and other technologies， this study enabled efficient retrieval， screening and standardized data extraction of Chinese medicine research literature.

This study aims to evaluate the therapeutic effect of Alpiniae Oxyphyllae Fructus-Saposhnikoviae Radix(AOF-SR) in a diabetic kidney disease(DKD) mouse model, explore its potential mechanism in regulating the NOD-like receptor protein 3(NLRP3) inflammasome via phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR) signaling pathway, and provide new theoretical support for traditional Chinese medicine(TCM) intervention in DKD. Using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), the active ingredients and potential targets of AOF-SR were screened and its molecular mechanisms were investigated through molecular docking, molecular dynamics simulations, and experimental validation. The db/db mice were randomly divided into four groups: model group, low-dose AOF-SR group, high-dose AOF-SR group, and canagliflozin group. The db/m mice served as normal group. After one week of acclimatization, the mice underwent drug intervention. Starting from one week after treatment, body weight, blood glucose levels, and 24-hour urinary protein(24hUP) were measured every two weeks. After 13 weeks of administration, tissue collection and indicator detection were performed. Blood glucose, 24hUP, urinary microalbumin(mAlb), serum creatinine(Scr), and blood urea nitrogen(BUN) levels were determined. Pathological changes in kidney tissue were observed using hematoxylin-eosin(HE) staining. Enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of serum IL-1β, IL-18, and caspase-1, while RT-qPCR was employed to measure the mRNA expression levels of IL-1β, IL-18, caspase-1, and NLRP3. Western blot was used to assess the protein expression levels of NLRP3, PI3K, p-Akt, Akt, p-mTOR, and mTOR. Network pharmacology analysis indicated that wogonin, pinocembrin, hancinol, and kaempferol were the core compounds for drug treatment of the disease. Molecular docking and molecular dynamics simulations showed that core compounds, particularly wogonin, could specifically bind to PIK3R1, thereby regulating the PI3K/Akt/mTOR pathway. The experimental results indicated that both low and high doses of AOF-SR and canagliflozin significantly reduced blood glucose, 24hUP, mAlb, Scr, and BUN levels in db/db mice, while improving kidney pathological damage and inflammatory cell infiltration. Moreover, the treatments reduced the mRNA expression levels of caspase-1, IL-1β, and IL-18 in the kidneys of db/db mice, as well as the secretion of these factors in the serum. The drugs also inhibited the mRNA and protein expression levels of NLRP3 in the kidneys of db/db mice and decreased the protein levels of PI3K, p-Akt/Akt, and p-mTOR/mTOR. In conclusion, AOF-SR may improve kidney inflammation in DKD mice by regulating the PI3K/Akt/mTOR signaling pathway and inhibiting NLRP3 inflammasome activation.
Animals ; Mice ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Signal Transduction/drug effects* ; Phosphatidylinositol 3-Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; TOR Serine-Threonine Kinases/metabolism* ; Diabetic Nephropathies/metabolism* ; Inflammasomes/drug effects* ; Male ; Drugs, Chinese Herbal/chemistry* ; Humans ; Mice, Inbred C57BL

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

OBJECTIVES: To investigate the effect of ecliptasaponin A (ESA) for alleviating dextran sulfate sodium (DSS)-induced inflammatory bowel disease (IBD) in mice and the underlying mechanism. METHODS: Twenty-four male C57BL/6 mice (8-10 weeks old) were equally randomized into control group, DSS-induced IBD model group, and DSS+ESA (50 mg/kg) treatment group. Disease activity index (DAI), colon length and spleen index of the mice were measured, and intestinal pathology was examined with HE staining. The expressions of inflammatory mediators (TNF-α, IL-6, and iNOS) in the colon mucosa were detected using ELISA and RT-qPCR, and intestinal barrier integrity was assessed using AB-PAS staining and by detecting ZO-1 and claudin-1 expressions using immunofluorescence staining and Western blotting. In cultured RAW264.7 macrophages, the effects of treatment with 50 μmol/L ESA, alone or in combination with 20 μmol/L RO8191 (a JAK2/STAT3 pathway activator), on M1 polarization of the cells induced by LPS and IFN-γ stimulation and expressions of JAK2/STAT3 pathway proteins were analyzed using flow cytometry and Western blotting. RESULTS: In the mouse models of DSS-induced IBD, ESA treatment significantly alleviated body weight loss and colon shortening, reduced DAI, spleen index and histological scores, and ameliorated inflammatory cell infiltration in the colon tissue. ESA treatment also suppressed TNF‑α, IL-6 and iNOS expressions, protected the goblet cells and the integrity of the mucus and mechanical barriers, and upregulated the expressions of ZO-1 and claudin-1. ESA treatment obviously decreased CD86⁺ M1 polarization in the mesenteric lymph nodes of IBD mice and in LPS and IFN-γ-induced RAW264.7 cells, and significantly reduced p-JAK2 and p-STAT3 expressions in both the mouse models and RAW264.7 cells. Treatment with RO8191 caused reactivation of JAK2/STAT3 and strongly attenuated the inhibitory effect of ESA on CD86⁺ polarization in RAW264.7 cells. CONCLUSIONS ESA alleviates DSS-induced colitis in mice by suppressing JAK2/STAT3-mediated M1 macrophage polarization and mitigating inflammation-driven intestinal barrier damage.
Animals ; Mice ; Janus Kinase 2/metabolism* ; STAT3 Transcription Factor/metabolism* ; Mice, Inbred C57BL ; Male ; Dextran Sulfate ; Macrophages/cytology* ; Colitis/metabolism* ; Saponins/pharmacology* ; Signal Transduction/drug effects* ; RAW 264.7 Cells ; Triterpenes/pharmacology* ; Interleukin-6/metabolism*

Protrusive facial deformities, characterized by the forward displacement of the teeth and/or jaws beyond the normal range, affect a considerable portion of the population. The manifestations and morphological mechanisms of protrusive facial deformities are complex and diverse, requiring orthodontists to possess a high level of theoretical knowledge and practical experience in the relevant orthodontic field. To further optimize the correction of protrusive facial deformities, this consensus proposes that the morphological mechanisms and diagnosis of protrusive facial deformities should be analyzed and judged from multiple dimensions and factors to accurately formulate treatment plans. It emphasizes the use of orthodontic strategies, including jaw growth modification, tooth extraction or non-extraction for anterior teeth retraction, and maxillofacial vertical control. These strategies aim to reduce anterior teeth and lip protrusion, increase chin prominence, harmonize nasolabial and chin-lip relationships, and improve the facial profile of patients with protrusive facial deformities. For severe skeletal protrusive facial deformities, orthodontic-orthognathic combined treatment may be suggested. This consensus summarizes the theoretical knowledge and clinical experience of numerous renowned oral experts nationwide, offering reference strategies for the correction of protrusive facial deformities.
Humans ; Orthodontics, Corrective/methods* ; Consensus ; Malocclusion/therapy* ; Patient Care Planning ; Cephalometry

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To design an assisted patient conveying and vibration damping system to solve the problems of operator fatigue and patient bump during casualty evacuation.Methods The assisted patient conveying and vibration damping system was composed of several conveying straps and a vibration damping mechanism.The conveying straps were made up of a waist strap,two shoulder straps,a chest strap,adhesive straps and joint components,and the joint components included adjusting buckles,big buckles,small buckles,connecting buckles and hook mechanisms;the vibration damping mechanism adopted the technical form of extension handle combined with vibration absorber,in which the extension handle was made of rigid material and the vibration absorber was equipped with a scissor guiding mechanism.Tests were carried out on the system to record the operating time of the operators and to analyze the system's vibration damping characteristics.Results The system developed extended the operating time of the stretcher conveyers while reduced the vibration during casualty transport,with a maximum vibration reduction of 71.73％.Conclusion The system developed gains advantages in low vibration and low workload,and can be used for casualty conveying in poor road conditions.[Chinese Medical Equipment Journal,2024,45(1):15-24]