Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Objective:To analyze the electroencephalogram (EEG) features of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), and to combine the characteristics for classification and prediction.Methods:One hundred and thirty-five patients attending the Department of Neurology at the General Hospital of Tianjin Medical University were enrolled, including 34 patients with AD, 67 patients with MCI, and 34 healthy control (HC). The electroencephalogram signals of these patients in the resting state were collected and preprocessed. Relative power spectral density features and sample entropy features on a multi-band scale were extracted to compare the whole-brain differences in electroencephalogram features among the 3 groups of subjects, and then subdivided into brain regions and individual leads for in-depth analysis. The above two features were fused to classify and predict AD, MCI, and HC by support vector machine (SVM).Results:The frontal regions had higher δ relative power spectral densities than the other regions, and the occipital and temporal regions showed relatively lower distributions. θ-Band relative power spectral densities had a more even distribution of sizes across brain regions. α-Band relative power spectral densities were concentrated in the occipital lobe, while β-band relative power spectral densities were mainly concentrated in the parietal and temporal lobes. Except for the central lobe, the δ-band relative power spectral densities of the AD group were higher than those of the MCI group ( P < 0.05) and HC group ( P < 0.01) in all brain regions and the whole brain. θ-band relative power spectral densities of the AD group were higher than those of the MCI gourp ( P < 0.001) and HC group ( P < 0.001) in the whole brain and in all brain regions. α-Band relative power spectral densities of the AD group were lower than those of the other groups only in the temporal lobe (all P < 0.05). The relative power spectral density of the β-band in the AD group was higher than that of the other groups in the whole brain and in all brain regions ( P < 0.05, 0.01, 0.001). The difference in the relative power spectral density of the δ-band in the C3 lead in the central lobe of the AD and HC groups was statistically significant ( P < 0.05). The relative power spectral density of the γ-band in the temporal lobe was higher than that in the other regions of the AD group, the MCI group, and the HC group. The relative power spectral density of the γ-band in the T3 lead in the AD group was significantly lower than that in the T4 lead. The average entropy of samples in the whole brain and in each brain region was lower than that in the HC group in the AD and MCI groups (all P < 0.05). The entropy of the samples at lead C3 in the AD group was lower than that in the MCI group ( P < 0.05). The differences between the relative power spectral density, sample entropy, and the actual data classification evaluation indexes (accuracy rate, precision rate, recall rate, and F1 score) that fused the two features, and the rearranged data were all statistically significant (all P < 0.001). When the relative power spectral density feature and the sample entropy feature were fused in the classification features, the best classification prediction was achieved, with an accuracy rate of 80%, a precision rate of 78%, a recall rate of 78%, and the F1 score of 79%. Conclusions:Relative power spectral density and sample entropy analysis can reveal the abnormalities of electroencephalogram activities of AD and MCI patients from different perspectives (linear and nonlinear), and the combination of these two features in classification prediction can improve the classification effect.

Objective:To develop an evaluation index system for dynamic adjustment effect of medical service prices in public hospitals, as a set of quantitative evaluation tools for management departments to keep track of the trend in time, implement dynamic monitoring and guide decision-making.Methods:Based on the evaluation system of price adjustment effect, through the importance assessment of expert consultation and multiple index percentile method, the scoring criteria were formulated and the empirical analysis was carried out.Results:The total scores of hospital A and hospital B were 71.31 and 77.94 respectively, classified as " average" . The evaluation could basically reflect the effect of dynamic adjustment of medical service price in public hospitals.Conclusions:The evaluation has the functions of displaying differences, witnessing achievements and tracing causes. It can be used to evaluate the effect of dynamic adjustment of regional prices, to assist the regulators to keep track of trends, monitor dynamically and guide decision-making in time, and be used by hospitals in self-evaluation to find problems, improve their own operation and promote the healthy development of hospitals.

Objective:To analyze the characteristics of gamma oscillation in chronic insomnia patients with anxiety and depression, and to investigate its underlying neural mechanism.Methods:According to the anxiety and depression scores, the subjects with chronic insomnia who met the diagnostic criteria were divided into chronic insomnia with anxiety and depression group ( n=19) and chronic insomnia group ( n=13). Healthy subjects matched with age, gender, and educational background were selected as the normal control group ( n=16). The EEGs from the three groups under resting state and cognitive load state were collected.The relative gamma power was then calculated by fast Fourier transform.The spatial distribution pattern of the gamma oscillation in the three groups was analyzed.Spearman correlation analysis was employed to quantify the correlation between relative gamma powers and sleep scale, anxiety and depression scale scores. Results:In the resting state, the relative gamma power in the chronic insomnia with anxiety and depression, chronic insomnia and normal control group was 0.192 1±0.008 0, 0.210 3±0.009 6, 0.237 3±0.006 4, respectively.In the cognitive load state, the relative gamma power in the three groups increased compared with those in the resting state (0.220 7±0.008 1, 0.249 5±0.009 8, 0.267 7±0.007 2, respectively) (all P<0.05). In the resting state, the relative gamma power (F3, F4, C3, C4, P3, P4, O2, F8, T4) in the chronic insomnia with anxiety and depression group (0.179 9±0.009 7) and the chronic insomnia group (0.194 4±0.010 4) was lower than that in control (0.236 0±0.012 0, P<0.05). In the cognitive load state, the relative gamma power (F3, C3, C4, P3, P4, T4) in the chronic insomnia with anxiety and depression group (0.207 3±0.009 7) was lower than that in control (0.259 1±0.009 4)( P<0.05). There was a significant negative correlation between the relative gamma power in the nodes(F3, C3, P3)and the insomnia, anxiety and depression in the three groups(correlation coefficient r=-0.467--0.274, P<0.05). Conclusion:Chronic insomnia patients with anxiety and depression are often accompanied by cognitive dysfunction.The loss of gamma oscillation in left posterior, left central and left apex may be one of the potential neural mechanisms of cognitive dysfunction in chronic insomnia patients with anxiety and depression.

Objective: To construct an index system for evaluating the effectiveness of dynamic pricing adjustment of medical services, for the purpose of providing a set of evaluation tools for price regulatory authorities to evaluate the effectiveness of pricing adjustment of medical services, to keep track of pricing trends, to implement dynamic monitoring and to guide decision-making. Methods: Oriented to public hospitals in Guangdong province, literature analysis and Delphi method were used to construct the index system for evaluating the effectiveness of dynamic adjustment of medical service price. Descriptive analysis, consistency test and index importance evaluation were applied to statistical analysis. Results: Thirty-two experts evaluated the importance of 41 alternative indicators. The index system for evaluating the effectiveness of dynamic adjustment of medical service price was finally constructed, including six structural indicators, six process indicators and six result indicators. Conclusions Experts are representative, authoritative and well-coordinated. The consultation results are reliable. The evaluation index system has high reliability and validity, and can be used to objectively evaluate the dynamic adjustment effect of medical service price.

Objective To study the characteristics of brain electrical signals in mild cognitive impairment (MCI) patients and healthy elderly volunteers in rest and task loading state.Methods Twenty MCI patients served as a MIC group and 22 sex-,age-and education-matched healthy volunteers served as a control group in this study.The patients were scored according to the MoCA,HADS,MMSE and CMS,their brain electrical signals in a different state were recorded with a digital EEG recording device,and their Lemple-Zie complexity (LZC) was computed on the MATLAB 7.04 platform and comparatively analyzed.Results The MQ value and MoCA,HADS,MMSE,CMS scores were significantly higher in control group than in MCI group (P＜0.01).The LZC value in left frontal region and left temporal region was significantly higher in control group than in MCI group in rest state (0.577±0.059 vs 0.545±0.067,0.576±0.061 vs 0.548±0.059,P＜0.05).The LZC value in right frontal region and right hemisphere was significantly lower in MCI group than in control group in brain electrical activity state (0.535±0.065 vs 0.559±0.033,0.541±0.064 vs 0.551±0.047,P＜0.05).The LZC value in left frontal region,left temporal region,left hemisphere was lower in control group than in MCI group (0.523±0.040 vs 0.547±0.070,0.547±0.048 vs 0.561±0.092,0.542±0.044 vs 0.557±0.067,P＜0.05).Conclusion The LZC value is lost in the left hemisphere but its functional compensation is present in the right and Left parietal lobe,left frontal lobe and right brain areas in MCI patients in a non-linear manner.

Objective To investigate the effects of dilute concentration and acting time of pronase on quality of gastroscopy.Methods A total of 448 patients were randomly divided into two groups : sodium bicarbonate group and pronase with sodium bicarbonate group.Pronase was diluted into 50 ml (400 U/ml)and 100 ml (200 U/ml) using sodium bicarbonate.The patients were pretreated by pronase of different concentrations 10 min, 20 min, 30 min, 60 min and 120 min before gastroscopy.Diluent of same quantity were taken by the control group.Visibility of gastroscopy, procedure times and positive rates of lesions were compared.Results Pretreatment of pronase significantly improved visibility of gastroscopy, raised positive rates of lesions, and reduced procedure times of gastroscopy, compared with the control group (each P ＜ 0.05).The visibility of gastroscopy were over 80％ 20,30, and 60 minutes before the examination with no significant difference(P ＞ 0.05).The visibility of gastroscopy decreased sharply 30 minutes after taking pronase, especially after 60 minutes.There was no significant difference in the quality of gastroscopy between the 200 U/ml and 400 U/ml group 20-60 minutes before gastroscopy (P =0.640).Conclusion Pronase (200 U/ml-400 U/ml) significantly improves visibility of gastroscopy, raises positive detection rates of lesions, and reduces procedure time of gastroscopy 20-60 minutes before pretreatment.

Objective To investigate instant messenger management on moderate asthma control in young and middle-aged patients.Methods Sixty young and middle-aged asthma patients enrolled were divided into 2 groups by random number table,traditional management group (group A) and messenger management group (group B),and received the asthma treatment with traditional management or messenger management for 1 year.The compliance,control condition,pulmonary function and Saint George respiratory questionnaire(SGRQ) were compared between two groups.Results After one year management,there were 20 patients in proceeding of the standard treatment,15 total control,10 partial control and 5 uncontrolled in group A,while there were 26 patients in proceeding of the standard treatment,21 total control,7 partial control and 2 uncontrolled in group B.Compared with group A,the treatment adherence(x2 =6.331,P ＜ 0.05),satisfaction degree (t =6.051,P ＜ 0.01),asthma control rate (x2 =6.490,P ＜ 0.05),efficacy satisfaction (t =6.051,P ＜ 0.01) were all increased in group B.Forced expiratory volume in 1 second was elevated more significantly in group B than that in group A [(0.132 ± 0.175) L vs.(0.326 ± 0.125) L] (t =5.099,P＜ 0.01).SGRQ scores were decreased more obviously in group B than that in group A (t =4.316,P ＜ 0.01).Conclusions The asthma control,respiratory and pulmonary function can be improved by messenger management in young and middle-aged patients.So promoting the messenger management model actively is advantageous to improve the level of prevention and treatment of asthma in China.

Objective To explore the characteristics of EEG frequency in recruits and veterans and their relationship with depression scale scores.Methods Fifty-five newly enlisted soldiers formed the recruits group and 68 demobilized soldiers the veterans group.A general information survey,EEGs and the Hamilton depression scale (HAMD) were administered to all of the subjects.According to the HAMD scores,35 of the 123 were designated as the abnormal group,while 88 formed the normal one.Eighteen of the 35 with EEG abnormalities served as a doubleabnormal group to be compared with the remaining 17 cases with abnormal HAMD scores and normal EEGs (the single-abnormal group),and 9 of the 18 with higher HAMD scores as the higher group,and the other 9 cases as the lower group.The EEG frequency spectrum and the power percentages from the δ to γ frequency bands were calculated as δ:0.5-4 Hz,(o):4-8 Hz,α:8-13 Hz,β:13-25 Hz,γ:25-40 Hz.Results Forty-six of the subjects (37.4％) had abnormal EEG results,35 had abnormal HAMD scores,and 18 (51.4％ of the soldiers with abnormal HAMD scores) had both abnormalities.The veterans had lower δ band power percentage in all channels than the recruits,but in the (0) band it was the reverse.In the left channels the veterans had lower α and γ band power percentages than the recruits.Compared with the normal,all channels in the EEGs of subjects with abnormal HAMD scores had significantly higher δ band power percentages.The higher the δ band power percentage a subject had,the higher his HAMD score.Conclusion There is some correlation between changes in EEG power percentages and the possibility and severity of depression.Objective and subjective EEG evaluation can help improve the positive rate of diagnosis,and thus the management of the army.