PURPOSE: Deep vein thrombosis (DVT) of the left and right lower extremities was treated in the same way, but the left and right extremities received different levels of attention. This study aimed to investigate the differences between the right and left lower extremity deep vein thrombosis (LEDVT). METHODS: Clinical characteristics of LEDVT patients from July 2020 to June 2022 were retrospectively analyzed to compare the incidence of LEDVT on different limbs, demographics, predisposing factors, and anatomical characteristics. The exclusion criteria were bilateral LEDVT and recurrent thrombosis. Measured data was analyzed using independent samples t-test or Mann-Whitney test. Count data were analyzed by Chi-square test. A p < 0.05 was considered a statistically significant difference. RESULTS: There were 478 patients included in this study and the ratio of left to right LEDVT on the left and right limbs was 3.16:1 (363:115). Left LEDVT predominantly affected female, with the major aged > 50 years (50 - 60 years: 16.80%; > 60 years: 57.30%). The primary predisposing factor was iliac vein compression syndrome, with iliofemoral thrombosis being the main type. Male patients with LEDVT on the right limb were predominant and the age of onset was usually ≤ 60 years (52.17%). The main predisposing factor was recent surgery or trauma (< 30 days) and femoropopliteal thrombosis was the main type. In more detail, the left iliac vein was compressed mainly in the proximal segment, and the right iliac vein was compressed mainly in the intermediate and distal segments. Recent surgery or trauma to the locomotor system and genitourinary system often induced LEDVT. CONCLUSION The incidence of LEDVT on the left is significantly higher than that on the right. LEDVT on different sides has different characteristics, which is crucial for prevention and diagnosis in the relevant population so there are also differences in treatment of the affected limbs.
Humans ; Venous Thrombosis/etiology* ; Male ; Female ; Middle Aged ; Lower Extremity/blood supply* ; Retrospective Studies ; Adult ; Aged ; Age Factors ; Sex Factors ; Risk Factors ; Acute Disease ; Incidence ; Aged, 80 and over ; Young Adult ; Adolescent

OBJECTIVE: To explore the potential effects and mechanisms of Liang-Ge-San (LGS) for the treatment of acute respiratory distress syndrome (ARDS) through network pharmacology analysis and to verify LGS activity through biological experiments. METHODS: The key ingredients of LGS and related targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. ARDS-related targets were selected from GeneCards and DisGeNET databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed using the Metascape Database. Molecular docking analysis was used to confirm the binding affinity of the core compounds with key therapeutic targets. Finally, the effects of LGS on key signaling pathways and biological processes were determined by in vitro and in vivo experiments. RESULTS: A total of LGS-related targets and 496 ARDS-related targets were obtained from the databases. Network pharmacological analysis suggested that LGS could treat ARDS based on the following information: LGS ingredients luteolin, wogonin, and baicalein may be potential candidate agents. Mitogen-activated protein kinase 14 (MAPK14), recombinant V-Rel reticuloendotheliosis viral oncogene homolog A (RELA), and tumor necrosis factor alpha (TNF-α) may be potential therapeutic targets. Reactive oxygen species metabolic process and the apoptotic signaling pathway were the main biological processes. The p38MAPK/NF-κ B signaling pathway might be the key signaling pathway activated by LGS against ARDS. Moreover, molecular docking demonstrated that luteolin, wogonin, and baicalein had a good binding affinity with MAPK14, RELA, and TNF α. In vitro experiments, LGS inhibited the expression and entry of p38 and p65 into the nucleation in human bronchial epithelial cells (HBE) cells induced by LPS, inhibited the inflammatory response and oxidative stress response, and inhibited HBE cell apoptosis (P<0.05 or P<0.01). In vivo experiments, LGS improved lung injury caused by ligation and puncture, reduced inflammatory responses, and inhibited the activation of p38MAPK and p65 (P<0.05 or P<0.01). CONCLUSION LGS could reduce reactive oxygen species and inflammatory cytokine production by inhibiting p38MAPK/NF-κ B signaling pathway, thus reducing apoptosis and attenuating ARDS.
Drugs, Chinese Herbal/pharmacology* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; NF-kappa B/metabolism* ; Animals ; Signal Transduction/drug effects* ; Molecular Docking Simulation ; Humans ; Male ; Network Pharmacology ; Apoptosis/drug effects* ; Mice

OBJECTIVE: To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS). METHODS: In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro. RESULTS: Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01). CONCLUSION Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals ; Sepsis/drug therapy* ; Quercetin/therapeutic use* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; Mice, Inbred C57BL ; Reactive Oxygen Species/metabolism* ; Apoptosis/drug effects* ; Male ; Oxidative Stress/drug effects* ; MAP Kinase Signaling System/drug effects* ; Lung/drug effects* ; Mice ; Lipopolysaccharides ; Macrophages, Alveolar/pathology* ; Inflammation/pathology* ; Protective Agents/therapeutic use*

Targeting drug delivery systems mediated by nanoparticles has shown great potential in the diagnosis and treatment of cancer. However, influences of different tumor progressions on the accumulation of nanoparticles, especially the ligand-modified active targeting nanoparticles are seldom exploited. In this work, the accumulation and penetration of RGD-modified gold nanoparticles (active AuNPs) with different sizes were investigated in orthotopic breast cancer with different tumor progressions. The results showed that the smallest active AuNPs had better accumulation and permeation effects in early tumor tissues with the relatively looser extracellular matrix, larger gaps, lower interstitial fluid pressure, and less receptor expression, which was due to size effects. However, the larger active AuNPs had better accumulation and penetration effects in late tumor tissues with highly expressed target receptors integrin α _v β ₃ because of the multivalent interactions between larger active nanoparticles and integrin α _v β ₃. In the midterm, tumor accumulation of active AuNPs was equally influenced by size effects and multivalent interactions. Therefore, RGD-modified nanoparticles with sizes of 7 and 90 nm accumulated more in tumors. This study will guide a rational design of active targeting nanoparticles for enhancing the diagnosis and treatment of tumors based on their progressions.

Objective:To explore the impact and predictive value of subclinical hypothyroidism on metabolic associated fatty liver disease (MAFLD).Methods:The study adopted a cross-sectional design. A total of 6 597 adults with subclinical hypothyroidism who received health check-ups in the Health Examination Center of Hebei General Hospital from 2018 to 2022 were selected as subjects. The participants were randomly divided into a modeling group (4 617) and a validation group (1 980) in a 7∶3 ratio. The basic information and serological indicators were collected in those subjects. The general clinical characteristics of the MAFLD and non-MAFLD participants were compared in the modeling group. Multivariate logistic regression analysis was used to explore the impact of thyroid hormone on MAFLD. The R language was applied to construct a nomogram prediction model, and internal validation and external validation of the model were performed to evaluate the prediction performance of the model.Results:Of the 6 597 study subjects, the prevalence of MAFLD was 31.14% (2 054/6 597). After preliminary comparison of baseline data from the modeling group, multivariate analysis showed that free triiodothyronine/free thyroxine (FT3/FT4) ( OR=20.945,95% CI: 5.862-74.838), male ( OR=1.394,95% CI: 1.109-1.752), age ( OR=1.017,95% CI: 1.009-1.025), diastolic blood pressure ( OR=1.017,95% CI: 1.004-1.021), waist circumference ( OR=1.049,95% CI:1.031-1.067), body mass index ( OR=1.236,95% CI:1.175-1.299), triglyceride ( OR=1.525,95% CI: 1.379-1.687), low density lipoprotein cholesterol ( OR=1.493,95% CI: 1.313-1.698), fasting glucose ( OR=1.173,95% CI:1.101-1.249) were risk factors for MAFLD, and high density lipoprotein cholesterol ( OR=0.243,95% CI: 0.163-0.363), aspartate aminotransferase/alanine aminotransferase ( OR=0.242,95% CI: 0.183-0.320) were protective factors for MAFLD (all P<0.05). The results showed that the two groups of calibration curves showed the consistency between MAFLD occurrence risk and actual occurrence risk. The AUCs of internal and external validation was 0.897 and 0.907, respectively. This nomogram model had a high predictive value. Conclusion:FT3/FT4 is an independent risk factor for MAFLD in the population with subclinical hypothyroidism. The prediction model incorporating thyroid function and metabolic parameters may provide clinical value for early identification of MAFLD.

OBJECTIVES: Digitally collect data on the preparation space of the molar occlusal surface for full crown restoration and analyze the minimum preparation spaces and areas prone to insufficient preparation. METHODS: A total of 846 molars (excluding third molars) designated for repair with zirconium dioxide crowns were selected. All molars were prepared by using the fixed-depth groove method under visual guidance. A digital impression was collected, and the occlusal surface of the preparation was divided into regions: mesiobuccal area, mesiolingual area, distobuccal area, distolingual area, mesial marginal ridge, and distal marginal ridge. Image measurement software (3Shape Unite) was employed to record the smallest preparation space on the molar occlusal surface, and a space of <1 mm was defined as insufficient preparation. The chi-square test was utilized for the statistical analysis of data. RESULTS: Significant differences were observed in the areas with the smallest preparation space on the occlusal surface of molars across different quadrants (P<0.05). Notably, the area with the smallest preparation space on the occlusal surface of the maxillary first molar was most frequently found in the mesiobuccal area, whereas the smallest preparation spaces on other molars were predominantly located in the distolingual area. The insufficient preparation of the occlusal surface occurred in 41.0% (347 cases) of teeth. The distribution of prone areas corresponded with the distribution of the smallest spatial areas. CONCLUSIONS Although the fixed-depth groove method is employed, the preparation space on the molar surface unavoidably remains uneven under visual guidance. The identification of the areas prone to minimum preparation spaces can serve as a valuable guide for clinicians to prevent insufficient preparation.
Humans ; Molar/anatomy & histology* ; Crowns ; Zirconium

A molecularly imprinted electrochemical sensor for rapid detection of tenuazonic acid(TeA)was developed based on the Au-MoS2/MOF(Fe2+/Fe3+)high-efficiency catalytic cycle amplification strategy,using p-aminobenzoic acid(PABA)as the functional monomer,and TeA as the template molecule.The molecularly imprinted polymer(MIP)was prepared on the surface of Au-MoS2/MOF(Fe2+/Fe3+)modified electrode through electropolymerization.By introducing flower-like MoS2 nanoflakes(MoS2 NFs)as a co-catalyst into a mixed-valence structured Fe-MOF(Fe2+/Fe3+),the H2O2 electrochemical signal of the MIP/Au-MoS2/MOF(Fe2+/Fe3+)/GCE was significantly enhanced.Under optimal conditions,the sensor exhibited good selectivity and high sensitivity toward TeA.A linear relationship(R2=0.992)was observed between the electrochemical response and TeA concentration in the range of 0.001-10 μg/kg,with a detection limit of 0.3 ng/kg.The developed method was successfully applied to determination of TeA in fruit samples,with recoveries ranging from 90.8%to 110.8%,and relative standard deviations from 1.9%to 8.4%.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective:To study the current status of transitional readiness from adolescence to adulthood of patients with inflammatory bowel disease（IBD）in China,analyze the factors affecting transitional readiness,and provide a basis for developing scientific and targeted transitional preparedness programmes.Methods:The IBD patients aged 12-24 years who were admitted to the Department of Gastroenterology,Beijing Children's Hospital Affiliated to Capital Medical University from January 1,2016 to January 15,2025 were enrolled.From November 1,2024 to January 15,2025,the survey was conducted through online distribution of the transition readiness assessment questionnaire (TRAQ)6.0 Chinese version scale to IBD patients by using the convenient sampling method.The scores of each dimension of TRAQ scale were calculated,and multiple linear regression analysis was used to analyze the factors influencing the scores of TRAQ during the transitional period.Results:A total of 184 patients were included and 184 questionnaires were collected.Male patients were slightly more than female(109:75),with an average age of (14.94±2.35) years.70.11% of patients had a disease duration of 1 to 5 years,with Crohn's disease accounting for the highest proportion(54.89%),and the severity of the disease was mostly mild to moderate.Family support was generally higher(84.24%).Parents were highly involved in patient disease management(94.02%).There were 52.72% of the patients received social support.The mean score of the TRAQ was 4.14 ± 0.89,and the mean scores of the four dimensions from high to low were following health problems(4.28±0.97),insisting on making an appointment and seeing a doctor on time(4.20±1.10),talking with medical staff(4.17±1.05) and drug management(4.14±0.99).Multiple linear regression analysis showed that family status,the encourage,supports and help from the family members,and the supports from the society were the independent influencing factors of IBD patients' readiness score for transition from adolescence to adulthood( P<0.05).Among them,family status had a positive effect on transition readiness score,and the degree of readiness score increased with the increase of harmony( P<0.05).Social support also had a positive effect on transition readiness score( P<0.05).Compared with no encouragement,support and help from family members,the situation of little encouragement had a certain improvement on the readiness score( P<0.05). Conclusion:Children with IBD have better overall performance during the transition from adolescence to adulthood.Family status,the encourage,supports and help from the family members,and the supports from the society are the important factors influencing transitional preparedness.

Objective:By using cognitive interviews,the interviewees' cognition and understanding of the inflammatory bowel disease(IBD) self-efficacy scale for adolescents and young adults (IBDSES-A) were evaluated,and the semantic content of IBDSES-A,which was initially translated into Chinese,was tested and revised.Methods:Using purposive sampling,15 IBD patients aged 12-18 were selected from Beijing Children's Hospital,Capital Medical University,between January and February 2025,stratified by age group and disease type.Two rounds of cognitive interviews were conducted.Feedback and suggestions from interviewees were analyzed using a question appraisal system for coding and integration.Based on expert panel discussions,ambiguous items were revised to finalize the Chinese version of the IBDSES-A.Results:In the first round,10 interviewees were interviewed,followed by 5 interviewees in the second round.There were no statistically significant differences ( P>0.05) between the interviewees of two rounds in terms of age,gender,and education level.During the first round of interview,interviewees expressed comprehension difficulties with 76.9% (10/13) of the items.Coding analysis revealed that the primary issue was "clarification",as unclear wording made it difficult for interviewees to fully grasp the intended meaning of certain items.Based on these findings,the expert panel revised 10 of the 13 items in the IBDSES-A.The second round of cognitive interview showed that the interviewees generally understood the revised items，achieving linguistic and semantic consistency with the original scale. Conclusion:The application of cognitive interviews in the translation process of the IBDSES-A helps reduce comprehension biases caused by inappropriate wording，ensuring that the localized version of the scale is more accessible and understandable to the target population.