Objective To investigate the epidemiological characteristics and risk factors of non-alcoholic fatty liver disease in Jincheng between 2015 and 2020. Methods Clinical data of 8,578 medical check-ups at Physical Examination Center of ou hospital from January 2015 to December 2020 were retrospectively selected. The prevalence of non-alcoholic fatty liver disease in the last 5 years was recorded, and Logistic regression was utilized to identify the risk factors for the development of non-alcoholic fatty liver disease. Results The overall prevalence of non-alcoholic fatty liver disease in Jincheng was 14.57% in 2015-2020. The prevalence of non-alcoholic fatty liver disease was higher in men than in women (16.99% vs 10.98%) and highest in the 40-59 age group (18.76%). No statistical difference was reported in blood urea nitrogen (BUN) and serum creatinine (Scr) between groups (P>0.05), while statistical difference was found in diabetes, hypertension, body mass index (BMI), waist circumference, weekly exercise frequency, daily vegetable intake, triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT) and uric acid (UA) between two groups (P<0.05). Multivariate Logistic regression analysis denoted that BMI (OR=2.794, 95% CI: 1.745-4.550), waist circumference (OR=2.586, 95% CI: 1.585-4.299), diabetes (OR=0.644, 95% CI: 1.425-2.781), hypertension (OR=1.479, 95% CI: 1.121-2.290), weekly exercise ≥6h (OR=0.617, 95% CI: 0.519-0.709), daily vegetable intake ≥300g (OR=0.590, 95% CI: 0.467-0.652), TG (OR=1.481, 95% CI: 1.122-1.996), TC (OR=1.562, 95% CI:1.143-2.135), LDL-C (OR=1.440, 95% CI: 1.139-2.048), HDL-C (OR=0.656 , 95% CI: 0.587-0.783) , ALT (OR=1.591, 95% CI: 1.056-2.183), and UA (OR=1.412, 95% CI: 1.009-1.887) were risk factors for non-alcoholic fatty liver disease (P<0.05) . Conclusion The prevalence of non-alcoholic fatty liver disease in Jincheng City from 2015 to 2020 is 14.57%, the prevalence of males is higher than that of females, and the prevalence rate is the highest in the 40-59 age group. Moreover , diabetes mellitus , hypertension , BMI , waist circumference , weekly exercise , daily vegetable intake , serum TG, TC, LDL-C, HDL-C, ALT, and UA are all associated with the risk of the disease.

The Mofeng Ointment Formulation （MOF， 摩风膏方） is recorded in the Dunhuang manuscript Unnamed Treatise on the Pulse （《亡名氏脉经》） and stands as a representative ancient external therapeutic formula in traditional Chinese medicine （TCM）. Known for dispelling wind， activating blood circulation， warming the meridians， and relieving pain， it is particularly effective in treating rheumatic arthralgia. Through literature research， this paper systematically reviews the composition， preparation techniques， and clinical application characteristics of MOF. In recent years， advancements in modern pharmaceutical technology have led to the development of various innovative ointment-based formulations derived from the traditional recipe， such as Dunhuang Xiaoding Ointment （敦煌消定膏）， Dunhuang Xiaozhong and Zhentong Ointment （Patch） （敦煌消肿镇痛膏/贴）， Xiaoding Ointment （消定膏） gel patch， and Xiaoding Ointment （消定膏） cataplasm. These innovations explore pathways for transforming classical prescriptions into modern applications， providing a theoretical basis for the external TCM treatment of pain-related and orthopedic conditions.

The Fragment of Dunhuang Ancient Tibetan Moxibustion Therapy contains rich content on fire moxibustion therapy of Tubo-period Tibetan medicine, characterized by distinctive clinical features of Tibetan acupuncture and strong regional attributes. This paper systematically reviews the relevant materials on moxibustion in the Fragment and summarizes the findings as follows: Tibetan fire moxibustion mainly uses mugwort as the material, and terms like "fine mugwort", "broad bean" and "sheep dung pellet" refer to the size of the moxa cone. The number of moxa cones used is predominantly odd numbers, usually ranging from 5 to 21. The main indications for fire moxibustion cover internal medicine, external medicine, gynecology, pediatrics, and various pain syndromes. The therapy advocates for treating acute conditions and heat syndromes with moxibustion. The manuscript also records detailed contraindications, including time-based and seasonal taboos. Moxibustion is applied to both local and distal acupoints, reflecting the therapeutic concept of treating both proximal and distal regions. Furthermore, it documents simple and practical acupoint localization methods such as surface anatomical markers, proportional bone measurement, finger measurement, and hand-span measurement. Compared with contemporaneous Chinese medical moxibustion techniques, the moxibustion methods recorded in this Fragment are rich in content and present unique Tibetan theoretical characteristics. It provides valuable data and evidence for the excavation, application, and further research of Tibetan acupuncture and moxibustion.
Moxibustion/instrumentation* ; Humans ; History, Ancient ; Medicine, Tibetan Traditional/history* ; Tibet ; Acupuncture Points

BACKGROUND: Periodontitis is characterized by alveolar bone resorption, aggravated by osteoblast dysfunction, and associated with intracellular oxidative stress linked to the nuclear factor erythroid 2-related factor 2 (NRF2) level. We evaluated the molecular mechanism of periodontitis onset and development and the role of NRF2 in osteogenic differentiation. METHODS: Primary murine mandibular osteoblasts were extracted and exposed to Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) or other stimuli. Reactive oxygen species (ROS) and 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethylbenzimidazolylcarbocyanine iodide (JC-1) staining were used to detect intracellular oxidative stress. Alkaline phosphatase staining and alizarin red S staining were used to detect the osteogenic differentiation of osteoblasts. Immunofluorescence and western blotting were used to determine the changes in the mitogen-activated protein kinase (MAPK) pathway and related molecule activities. Immunofluorescence colocalization and co-immunoprecipitation were performed to examine the nuclear translocation of NRF2 and its interaction with dual-specific phosphatase 1 (DUSP1) in cells. RESULTS: Ligated tissue samples showed higher alveolar bone resorption rate and lower NRF2 level than healthy periodontal tissue samples. Pg-LPS increased intracellular oxidative stress levels and inhibited osteogenic differentiation, whereas changes in NRF2 expression were correlated with changes in the oxidative stress and osteogenesis rate. NRF2 promoted the dephosphorylation of the MAPK pathway by nuclear translocation and the upregulation of DUSP1 expression, thus enhancing the osteogenic differentiation capacity of mandibular osteoblasts. The interaction between NRF2 and DUSP1 was observed. CONCLUSIONS: NRF2 and its nuclear translocation can regulate the osteogenic differentiation of mandibular osteoblasts under Pg-LPS conditions by interacting with DUSP1 in a process linked to the MAPK pathway. These findings form the basis of periodontitis treatment.
Animals ; NF-E2-Related Factor 2/physiology* ; Lipopolysaccharides/pharmacology* ; Osteoblasts/drug effects* ; Mice ; Porphyromonas gingivalis/chemistry* ; Cell Differentiation ; Osteogenesis ; Dual Specificity Phosphatase 1/metabolism* ; Mandible/cytology* ; Reactive Oxygen Species/metabolism* ; Oxidative Stress ; Periodontitis/metabolism* ; Cells, Cultured ; Male ; Cell Nucleus/metabolism*

Sustained inflammatory responses are closely related to various severe diseases, and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment. Natural products have garnered considerable concern for the treatment of inflammation. Huanglian-Wumei decoction (HLWMD) is a classic prescription used for treating inflammatory diseases, but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated. Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory, we successfully obtained berberine (BBR)-chlorogenic acid (CGA) supramolecular (BCS), which is an herbal pair from HLWMD. Using a series of characterization methods, we confirmed the self-assembly mechanism of BCS. BBR and CGA were self-assembled and stacked into amphiphilic spherical supramolecules in a 2:1 molar ratio, driven by electrostatic interactions, hydrophobic interactions, and π-π stacking; the hydrophilic fragments of CGA were outside, and the hydrophobic fragments of BBR were inside. This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules. Compared with free molecules, BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide (LPS)-induced pyroptosis. Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB (NF-κB) p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

In recent years， the research data on the combination model of insomnia of liver depression and qi stagnation syndrome in traditional Chinese medicine （TCM） were sorted out and summarized in terms of the selection of experimental animals， modelling methods， and model evaluation， with a view to providing references for the standardized preparation of the experimental model of insomnia of liver depression and qi stagnation syndrome and the study of the intervention mechanism. As for the selection of experimental animals， rats and mice are commonly used for the study of sleep patterns in the insomnia model of liver depression and qi stagnation syndrome because their sleep patterns are similar to those of human beings； zebrafish is suitable for the study of sleep patterns in early development because of its high genetic homology； and rhesus macaques， common marmosets， and crab-eating monkeys are used for the study of highly complex sleep disorders because their physiological and behavioural characteristics are closer to those of human beings. In terms of modelling methods， electrical stimulation， chronic restraint， chronic emotional stress and impact psychological stress each have their own characteristics and application scenarios， while chronic tail-clamping stimulation combined with intraperitoneal injection of p-chlorophenylalanine （PCPA） combines physical and chemical stimuli， in order to simulate the complex mechanism of insomnia in human beings， and to more comprehensively simulate the pathology of insomnia with liver depression and qi stagnation syndrome. In terms of evaluation indexes， electroencephalography （EEG） and electromyography （EMG） monitoring and barbiturate synergistic sleep test are the most commonly used and scientific methods for evaluating insomnia animal models with liver depression and qi stagnation syndrome， which can provide intuitive and continuous sleep state monitoring； barbiturate synergistic sleep test can reflect the sensitivity and responsiveness of the model animals to the sleep-regulating medications； and the introduction of the method of using formulas to measure syndromes for the evaluating the model can combine the treatment and diagnostic principles of TCM with modern scientific research.

Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Objective To investigate the protective effect of PF-562271,a FAK inhibitor,against aging platelet-induced injury in human umbilical vein endothelial cells(HUVECs).Methods Cultured HUVECs were treated with vehicle,lipopolysaccharide(LPS),LPS+aging platelets,or LPS+aging platelets+PF-562271.The changes in protein expressions of FAK,pFAK and PECAM-1 in the treated cells were detected using Western blotting and immunofluorescence assay,and the level of reactive oxygen species(ROS)was detected with flow cytometry.The changes of barrier function of the cells were assessed with cell permeability test and transendothelial cell resistance test.RT-qPCR was used to analyze mRNA expressions of inflammatory factors,and pro-inflammatory cytokine levels in the culture supernatants was determined with enzyme-linked immunosorbent assay.Immunofluorescence assay was used to examine the effect of the ROS inhibitor vitamin C on PECAM-1 expression in the cells with different treatments.Results Treatment of HUVECs with LPS and aging platelets significantly increased cellular protein expressions of FAK,pFAK and PECAM-1,which were effectively lowered by addition of PF-562271(P<0.05).LPS and aged platelets obviously enhanced ROS production in the cells,which was inhibited by the addition of PF-562271(P<0.001).PF-562271 significantly alleviated the damage of endothelial cell barrier function of the cells caused by LPS and aging platelets(P<0.01).The expressions of TNF-α,IL-6 and IL-8 in HUVECs increased significantly after exposure to LPS and aging platelets,and were obviously lowered after treatment with PF-562271(P<0.05).Treatment with vitamin C significantly decreased the expression of PECAM-1 protein in the cells(P<0.01).Conclusion The FAK inhibitor PF-562271 alleviates endothelial cell damage induced by LPS and aging platelets by lowering cellular oxidative stress levels and reducing inflammatory responses.

BACKGROUND:A pathophysiological feature of septic organ failure is endothelial dysfunction in sepsis(EDS).The physiological and pathological mechanism of sepsis is considered to be vascular leakage caused by endothelial dysfunction.These pathological changes lead to systemic organ injury.However,an analysis using bibliometric methods has not yet been conducted in the field of EDS.This study was conducted to provide an overview of knowledge structure and research trends in the field of EDS. METHODS:Based on previous research,a literature search was performed in the Web of Science Core Collection(WoSCC)for publications associated with EDS published between the year 2003 and 2023.Various types of data from the publications,such as citation frequency,authorship,keywords and highly cited articles,were extracted.The"Create Citation Report"feature in the WoSCC was employed to calculate the Hirsch index(h-index)and average citations per item(ACI)of authors,institutions,and countries.To conduct bibliometric and visualization analyses,three bibliometric tools were used,including R-bibliometrix,CiteSpace(co-citation analysis of references),and VOSviewer(co-authorship analysis of institutions,co-authorship analysis of authors,co-occurrence analysis of keywords). RESULTS:After excluding invalid records,the study finaly included 4,536 publications with 135,386 citations.Most of these publications originated in the USA,China,Germany,Canada,and Japan.Harvard University emerged as the most prolific institution,while professor Jong-Sup Bae and his research team at Kyungpook National University emerged as authors with the greatest influence.The"protein C","tissue factor","thrombin","glycocalyx","acute kidney injury","syndecan-1"and"biomarker"were identified as prominent areas of research.Future research may focus on molecular mechanisms(such as as vascular endothelial[VE]-cadherin regulation)and therapeutic interventions to enhance endothelial repair and function. CONCLUSION:Our findings show a growing interest in EDS research.Key areas for future research include signaling pathways,molecular mechanisms,endothelial repair,and interactions between endothelial cells and other cell types in sepsis.