BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.

Objective: To investigate the association between screen time (ST) during leisure time and anxiety-depression symptoms among middle school students, so as to provide a basis for formulating relevant intervention measures. Methods: From November to December 2023, a stratified cluster random sampling method was used to select 2 542 students from junior and senior high school in Taiyuan City. A self designed questionnaire, the Generalized Anxiety Disorder Scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were used to investigate ST and anxiety/depression symptoms among middle school students. The Logistic regression model was used to explore the association of ST with symptoms of anxiety and depression, as well as with anxiety and depression comorbiditles (CAD). Results: The detection rates of anxiety symptoms, depression symptoms, and CAD were 13.69%, 15.77%, and 10.11%, respectively. The median ST was 2.00 h/d [interquartile range ( IQR =2.38) for weekly averages], with 0.33 h/d ( IQR =1.67) on work days and 5.00 h/d ( IQR=5.50) on rest days. Logistic regression analysis indicated that the total ST of mobile phones during rest days ( OR =1.07, 1.10, 1.11) and the averages ST of mobile phones over a week ( OR = 1.20 , 1.22, 1.29), as well as the total ST of all screen types during rest days ( OR =1.04, 1.04, 1.05) and the averages ST of all screen types over a week ( OR =1.08, 1.09, 1.21) were positively correlated with anxiety symptoms, depression symptoms, and CAD (all P <0.01). Conclusions Among middle school students in Taiyuan City, screen time is positively correlated with symptoms of anxiety or depression and the comorbidity of anxiety and depression, especially smartphone screen time and weekend screen use. Therefore, measures should be implemented to reduce unnecessary screen time among middle school students, especially the use of mobile phones, in order to mitigate the occurrence of anxiety and depression.

Objective:To investigate the application value of nasolabial flaps in addressing tissue defects after resection of benign and malignant nasal vestibular lesions. Methods:The clinical data of patients with benign and malignant nasal vestibular lesions were analyzed retrospectively. There were 4 cases of squamous cell carcinoma, 2 cases of black hairy nevus and 1 case of chronic proliferative inflammatory lesions, all of which were repaired by adjacent nasolabial flap. Results:After 6 months of follow-up, none of the patients developed nasal vestibular contracture or nostril stenosis, and postoperative nasal ventilation function was good. Conclusion:The preoperative design of individual nasolabial flaps is very important for maintaining maxillofacial aesthetics, protectingthe nasolabial framework, and preserving postoperative nasal ventilation function.
Humans ; Retrospective Studies ; Middle Aged ; Nose Neoplasms/surgery* ; Surgical Flaps ; Male ; Female ; Adult ; Nose/surgery* ; Plastic Surgery Procedures/methods* ; Carcinoma, Squamous Cell/surgery* ; Aged ; Skin Transplantation

OBJECTIVES: To explore the mechanism of Pingchuanning Formula (PCN) for inhibiting airway inflammation in rats with asthmatic cold syndrome. METHODS: A total of 105 SD rats were randomized equally into 7 groups, including a control group, an asthmatic cold syndrome model group, 3 PCN treatment groups at high, medium and low doses, a Guilong Kechuanning (GLCKN) treatment group, and a dexamethasone (DEX) treatment group. In all but the control rats, asthma cold syndrome models were established and daily gavage of saline, PCN, GLCKN or DEX was administered 29 days after the start of modeling. The changes in general condition, lung function and lung histopathology of the rats were observed, and inflammatory factors in the alveolar lavage fluid (BALF), oxidative stress, lung tissue ultrastructure, cytokine levels, and expressions of the genes related to the HMGB1/Beclin-1 axis and autophagy were analyzed. RESULTS: The rat models had obvious manifestations of asthmatic cold syndrome with significantly decreased body mass, food intake, and water intake, reduced FEV_0.3, FVC, and FEV_0.3/FVC, obvious inflammatory cell infiltration in the lung tissue, and increased alveolar inflammation score and counts of neutrophils, eosinophils, lymphocytes, macrophages, and leukocytes in the BALF. The rat models also had significantly increased MDA level and decreased SOD level and exhibited obvious ultrastructural changes in the lung tissues, where the expressions of HMGB1, Beclin-1, ATG5, TNF-α, IL-6,IL-1β, and IL-13 and the LC3II/I ratio were increased, while the levels of Bcl-2 and IFN-γ were decreased. PCN treatment significantly improved these pathological changes in the rat models, and its therapeutic effect was better than that of GLKCN and similar to that of DEX. CONCLUSIONS PCN can effectively alleviate airway inflammation in rat models of asthmatic cold syndrome possibly by modulating the HMGB1/Beclin-1 signaling axis to suppress cell autophagy, thereby attenuating airway inflammatory damages.
Animals ; Rats ; Autophagy/drug effects* ; Rats, Sprague-Dawley ; Asthma/pathology* ; Beclin-1 ; HMGB1 Protein/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Disease Models, Animal ; Male ; Lung/pathology* ; Inflammation

Intravascular large B-cell lymphoma(IVLBCL)is an aggressive extranodal large B-cell lymphoma,cocurrence in the same organ with other malignancies is very rare,especially in the lung.Here,we report a rare case of lung adenocarcinoma with IVLBCL.The patient was admitted to the hospital due to diarrhea associated with fever and cough.A computed tomography(CT)scan of the chest showed an irregular patchy high-density shadow in the upper lobe of the right lung with ground-glass opacity at the margin.After admission,the patient was given anti-infection treatment,but still had inter-mittent low fever(up to 37.5 oC).The pathological diagnosis of percutaneous lung biopsy(PLB)was lepidic-predominant ad-enocarcinoma with local infiltration,which was proved to be invasive nonmucinous adenocarcinoma of the lung with IVLBCL after surgery.This paper analyzed the clinicopathological characteristics and reviewed the relevant literature to improve the knowledge of clinicians and pathologists and avoid missed diagnosis or misdiagnosis.

Objective To study the effects of vision on human postural control and the connection mechanisms of the brain's functional network.Methods 15 healthy male adults were required to perform 30 s of balanced standing on both legs with eyes open and eyes closed.The center of pressure(COP)and electroencephalograph(EEG)were recorded during balance.The sample entropy(sample En)of the COP was calculated.The phase lag index(PLI)in θ-,α-,β-band of EEG was calculated to construct the brain functional networks,and the clustering coefficient(C),characteristic path length(L),and the criteria(σ)of the small-world network were calculated based on graph theory.Results During balanced standing on both legs,the SampleEn of the COPY with eyes closed was significantly higher than that with eyes open(P＜0.05).The mean value of PLI in the α-band under the eyes closed state was significantly higher than that under the eyes open state(P＜0.05).The C and σ values in the α-band under the eyes closed state were significantly higher than those under the eyes open state,and the L value was significantly lower than that under the eyes open state(P＜0.05).The frontal-central-parietal connectivity and the central-parietal connectivity strength in the α-band under the eyes closed state were significantly higher than those under the eyes open state(P＜0.05).The average PLI and C values in the α-band were moderately negatively correlated with the SampleEn of COPY (P＜0.05).The average PLI of the left prefrontal area,left parietal area,and left occipital area in the α-band under the eyes closed state had a moderate negative correlation with the SampleEn of COPY.The average PLI of the left central region and the right occipital area in the eyes-closed state was moderately negatively correlated with the SampleEn of COPY.Conclusions During the standing balance,when there is no visual input,the stability of body balance decreases,accompanied by enhanced brain network connectivity in α-band and the requirement for efficiency enhancement in information processing in the brain.The brain adopts different neural strategies when performing postural control under various visual conditions.

Objective To study the correlation between carotid bifurcation geometry and atherosclerotic plaque vulnerability using high-resolution magnetic resonance vessel wall imaging(HRMR-VWI),and to seek the potential predictor for vulnerable plaque for-mation.Methods The clinical information and imaging data of 104 patients with carotid bifurcation plaque detected by HRMR-VWI were analyzed retrospectively.Carotid bifurcation geometric parameters was measured to determine whether the carotid bifurcation plaque was vulnerable plaque,and they were divided into vulnerable plaque group(69 cases)and stable plaque group(35 cases).The difference of carotid bifurcation geometry of various groups was investigated,and the influence of common traditional risk factors to obtain independent risk factors was adjusted.Receiver operating characteristic(ROC)curve was drawn.Results Among 104 carotid artery,vulnerable plaque group had larger bifurcation angle(54.00 vs 48.80,P＜0.001),less luminal expansion(1.76 vs 1.94,P=0.002)and less outflow/inflow area ratio(0.79 vs 0.88,P＜0.001)compared with stable plaque group.After adjusting,binary logistic regres-sion indicated that bifurcation angle[odds ratio(OR)1.132 per 10° increase;95％confidence interval(CI)1.044-1.225],luminal expan-sion(OR 0.084 per 1 increase;95％CI 0.014-0.492)and outflow/inflow area ratio(OR 0.357 per 0.01 increase;95％CI 0.177-0.723)were independent risk factors of vulnerable plaque formation.Bringing them into the final model,the area under the curve(AUC)was 0.878 above the basic model(AUC=0.664).Conclusion Bifur-cation angle,luminal expansion and outflow/inflow area ratio are independently associated with vulnerable plaque formation.Carotid bifurcation geometry have the certain predictive efficiency of vulnerable plaque formation and have the incremental diagnostic value to traditional risk factors,which are expected to be effective imaging makers for the formation of vulnerable plaque.

Objective To evaluate the diagnostic efficacy of magnetic resonance defecography(MRD)in moderate or severe pelvic organ prolapse(POP)complicated with stress urinary incontinence(SUI).Methods Patients with grade Ⅱ or above POP were prospectively selected,and divided into POP combined with SUI group and isolated POP group.The MRD parameters of pelvic dysfunction between groups were analyzed to clarify the clinical diagnostic value and to evaluate the diagnostic efficacy of MRD in POP combined with SUI.Results This study enrolled 99 POP patients,42 patients in isolated POP group,and 57 patients in POP combined with SUI group.The comparison between groups showed there were significant differences in the function of the urethra and bladder,including the position of the urethro-vesical junction(1.61 cm±1.03 cm vs 2.13 cm±0.71 cm),the position of the posterior bladder wall(4.13 cm±2.46 cm vs 5.23 cm±2.21 cm),the urethra angle(94.22°±35.62°vs 114.28°±35.55°),the length of the closed urethra(2.28 cm±0.90 cm vs 2.15 cm±0.65 cm),and bladder funneling(23.81％vs 45.61％),all the differences were statistically significant(P＜0.05).The area under the curve(AUC)of multiple parameters MRD in the diagnosis of SUI was 0.73.The AUC in diagnosis of SUI by MRD combined with clinical history was 0.95.Conclusion POP combined with SUI has characteristic MRD signs.MRD technology can assist clinicians and improve the preoperative diagnosis rate of moderate and severe POP combined with SUI.

Objective·To investigate the effect of neferine(Nef)on renal tissues of diabetic nephropathy(DN)rats and its related mechanism.Methods·DN model rats were constructed by feeding high-fat diet combined with intraperitoneal injection of streptozotocin,and the successfully constructed rats were randomly divided into DN group,Nef(low,medium and high)dose groups and Nef high-dose+pathway antagonist(AMD3100)group,with 10 rats in each group.At the same time,10 common rats were selected as the normal group.The levels of fasting blood glucose(FBG),24 h urinary protein,serum glycosylated hemoglobin(HbA1c),serum creatinine(Scr),blood urea nitrogen(BUN)and renal index of rats in the six groups were measured.Hematoxylin-eosin(H-E)and Masson staining were used to observe the pathological changes of renal tissues.The content of malondialdehyde(MDA)in renal tissues was determined by thiobarbituric acid(TBA)method,and the activities of superoxide dismutase(SOD)and catalase(CAT)in renal tissues were determined by water soluble tetrazolium(WST-1)method and ammonium molybdate method,respectively.The mRNA and protein expressions of stromal cell-derived factor-1(SDF-1)and CXC chemokine receptor 4(CXCR4)in renal tissues were detected by quantitative real-time PCR(qPCR)and Western blotting,respectively.Rat renal tubular epithelium cells NRK-52E were induced by high glucose(30 mmol/L glucose)to establish DN cell model.The cells were divided into control group,high glucose(HG)group,HG+Nef(low,medium and high)dose(i.e.HG+Nef-L,M and H)group,and HG+Nef-H +AMD3100 group.SOD and CAT activities were detected by WST-1 method and ammonium molybdate method,respectively.MDA content was detected by TBA method.The mRNA and protein expressions of SDF-1 and CXCR4 were detected by qPCR and Western blotting,respectively.CCK-8 method and flow cytometry were used to detect cell viability and apoptosis rate,respecti-vely.Results·Compared with the DN group,the levels of FBG,24 h urinary protein,HbA1c,Scr,BUN,renal index and MDA content in Nef(low,medium and high)dose groups and Nef high-dose+AMD3100 group were decreased,the mRNA and protein expressions of SDF-1 and CXCR4 were increased,and the activities of SOD and CAT were increased(all P<0.05).The degree of pathological damage and fibrosis of renal tissues was reduced;all of the above changes were dose-dependent.AMD3100 could weaken the renal protective effect of high-dose Nef on DN rats.Compared with the HG group,NRK-52E cell viability,SOD and CAT activities,and the mRNA and protein expressions of SDF-1 and CXCR4 were increased in HG+Nef-L,M and H groups,while apoptosis rate and MDA content were decreased(all P<0.05).AMD3100 could reverse the protective effect of Nef-H on NRK-52E cell damage.Conclusion·Nef may control blood glucose levels on DN rats and improve antioxidant capacity by activating the SDF-1/CXCR4 signal pathway,playing a renal protective role.

Objective:To construct a predictive model of radiomics based on laparoscopic grayscale ultrasound features and investigate its value in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) during laparoscopic liver resection.Methods:A total of 74 patients (74 lesions)with HCC confirmed by postoperative pathology, who underwent a laparoscopic ultrasonography during laparoscopic hepatectomy were prospectively enrolled in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2022 to August 2023. The general clinical information of the patients was recorded, and the features were extracted and screened from tumor regions in gray-scale ultrasound images, and eventually the radiomics prediction models were constructed, respectively. Pathological results were used as gold standard to compare the effectiveness of different models in predicting MVI.Results:In the 74 HCC lesions, 12 lesions were MVI positive.The MVI imaging prediction model of HCC lesions was constructed from the screened clinical features, laparoscopic gray scale ultrasound image features, as well as combined screened clinical features, respectively. The obtained data sets were randomly divided into 5 parts (4 parts with 15 lesions, 1 part with 14 lesions), and the effectiveness of the model was trained and tested by the method of 5 folds interaction validation. The performance of support vector machine(SVM) radiomics model based on the characteristics of laparoscopic gray scale ultrasound in predicting the MVI of HCC was the best. Compared with clinical model and combined Adaboost model, the SVM, radiomics model had higher area under ROC curve (0.836 vs 0.696, 0.804), accuracy (0.852 vs 0.687, 0.838), sensitivity (0.900 vs 0.900, 0.833) and specificity (0.837 vs 0.644, 0.838). Conclusions:The radiomics model based on the characteristics of laparoscopic gray-scale ultrasound is an innovative potential approach to predict the MVI status of HCC lesions during laparoscopic hepatectomy.