In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

Objective To investigate the effect and mechanism of proteasome inhibitor MG132 on memory impairment induced by chronic hypoxia in mice.Methods(1)A hypoxic model of the mouse midbrain dopaminergic neuron cell line MN9D was established using a hypoxia workstation.To observe the effects of hypoxia on the expression of TH,Ub-K48 and Ub-K63,MN9D cells were divided into normoxia group and hypoxia(12 h,24 h and 48 h)groups.To observe the effects of MG132 on the expression of the above-mentioned proteins,MN9D cells were divided into normoxia group,hypoxia group and hypoxia + MG132(25,50,100,200 μmol/L)group.(2)A mouse model of memory impairment was established using a hypobaric chamber.To observe the effects of hypobaric hypoxia on the expression of TH,Ub-K48 and Ub-K63 in the substantia nigra compacta(SNc)of mice,thirty C57BL/6 mice were randomly and equally divided into normoxia group and hypobaric hypoxia(3 d and 21 d)groups,10 in each group.To observe the effects of MG132 on spatial memory impairment induced by hypobaric hypoxia,twenty-four C57BL/6 mice were randomly and equally divided into normoxia group,hypobaric hypoxia 21 d group and hypobaric hypoxia 21 d+MG132 group,8 in each group.(3)The protein expression levels of TH,Ub-K48,and Ub-K63 in MN9D cells which were either subjected to different durations of hypoxia treatment or pre-treated with MG132 prior to hypoxia treatment were detected using Western blotting(WB).The novel object recognition test was used to detect the memory function of mice.Immunofluorescence was used to detect the proportion of positive immunoreactive area of TH response in the SNc region.The expression levels of TH,Ub-K48,and Ub-K63 in the SNc region were detected by WB.Results(1)Compared with normoxia group,MN9D cells in hypoxia 24 h group showed increasing expression of Ub-K48 and Ub-K63(P<0.05),and decreasing expression of TH(P<0.05),and MN9D cells in all hypoxia groups showed increasing expression of Ub-K48/TH and Ub-K63/TH(P<0.05).Compared with hypoxia group,MN9D cells showed decreasing expression of Ub-K48/TH and Ub-K63/TH in hypoxia + MG132 100 umol/L group and hypoxia + MG132 200 umol/L group(P<0.05).(2)Compared with the mice in normoxia group,mice in 3 d and 21 d hypobaric hypoxia groups showed decreasing expression of TH(P<0.001),and increasing expression of Ub-K48/TH and Ub-K63/TH(P<0.05)in the SNc region.Compared with normoxia group,the mice in 21 d hypobaric hypoxia group showed a lower new object recognition index(P<0.01),and the proportion of positive immunoreactive area of TH response in the SNc region(P<0.05).Compared with 21 d hypobaric hypoxia group,the mice in hypobaric hypoxia 21 d+MG132 group showed a higher new object recognition index(P<0.01).Conclusion The proteasome inhibitor MG132 could alleviate the memory impairment induced by chronic hypoxia in mice,and its mechanism may be related to the inhibition of Ub-K63 and Ub-K48,which in turn upregulates expression of TH in dopaminergic neurons.

Objective:To identify the types of fear of progression in patients after percutaneous coronary intervention (PCI) based on latent profile analysis, and to explore the influencing factors of different types.Methods:Cross-sectional survey method was used to select the patients with coronary heart disease and underwent PCI in Anhui Public Health Clinical Center from April to December 2023 as the research object. The general information questionnaire, Fear of Progression Questionnaire-Short Form, Ruminative Response Scale and Brief Illness Perception Questionnaire were used to investigate them. Mplus8.3 software was used to construct the latent profile model.Results:A total of 240 patients with complete data were enrolled, including 176 males and 64 females, aged 28-84 (62.94 ± 11.20) years. The results of latent profile analysis showed that the fear of progression of patients after PCI could be divided into three latent categories: There were 59 cases (24.6%) in the low fear group, 111 cases (46.3%) in the medium fear group, and 70 cases (29.1%) in the high fear-worried family group. The results of multiple logistic regression analysis showed that compared with the low fear group, the probability of having primary school education or below was higher in the medium fear group ( OR=4.054, 95% CI 1.370-11.996) and the high fear-worry family group ( OR=5.996, 95% CI 1.562-23.014), secondary school was more likely in the moderate fear group ( OR=3.096, 95% CI 1.104-8.682, all P<0.05);Living in rural areas were more likely to be in the moderate fear group ( OR=2.587, 95% CI 1.187-5.637) and the high few-worry family group ( OR=6.958, 95% CI 2.567-18.856, all P<0.05); The probability of the first interventional therapy was higher in the moderate fear group ( OR=2.496, 95% CI 1.107-5.630) and the high fear-worry family group ( OR=4.924, 95% CI=1.809-13.402, all P<0.05). In addition, compared with the low fear group, patients with higher rumination were more likely to belong to the high few-worry family working group ( OR=1.130, 95% CI 1.055-1.210, P<0.05);Moderate fear group ( OR=1.181, 95% CI 1.046-1.334) and high fear family working group ( OR=1.349, 95% CI 1.164-1.562, all P<0.05) had a higher level of illness perception. Conclusions:There is significant heterogeneity in the fear of progression among patients after PCI. Medical staff can implement precise intervention according to the potential category characteristics of patients′ fear of progression, so as to reduce the level of fear of disease progression.

Objective To analyze the influencing factors of oral frailty in elderly patients with type 2 diabetes and construct a nomogram prediction model. Methods A total of 370 elderly patients with type 2 diabetes were selected as the research subjects, including 284 patients in the modeling group and 86 patients in the validation group. The Oral Frailty Index-8 (OF-8) Scale was used for oral frailty screening, and a score of ≥4 was considered positive for oral frailty. General information of the two groups was collected through a self-made questionnaire. Multivariate Logistic regression analysis was used to analyze the influencing factors of oral frailty in patients with type 2 diabetes, and nomogram model was constructed. The goodness-of-fit and predictive performance of the model were verified using the Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic curve (ROC). Results The incidence of oral frailty among elderly patients with type 2 diabetes was 45.4% (129/284). Age, body mass index (BMI), appendicular skeletal muscle mass index (ASMI), smoking, monthly income and subjective chewing difficulty were identified as influencing factors for oral frailty in elderly diabetic patients (P < 0.05). The areas under the ROC for internal and external validation were 0.887 (95%CI, 0.847 to 0.925) and 0.839 (95%CI, 0.755 to 0.923), respectively. The Hosmer-Lemeshow test showed that χ²=4.852, P=0.773, indicating good goodness-of-fit for the nomogram model. Conclusion Age, ASMI, BMI, smoking, monthly income and subjective chewing difficulty are influencing factors for oral frailty in elderly diabetic patients. The nomogram prediction model constructed based on these influencing factors demonstrates good performance.

Objective To investigate the correlations of the expression levels of microRNA (miR)-206 and miR-186 in the serum with the disease severity and prognosis of elderly patients with vascular dementia (VD). Methods A total of 104 elderly patients with VD treated in Dalian Municipal Central Hospital from October 2020 to May 2023 were selected into the VD group and 104 healthy volunteers who underwent physical examinations were enrolled in the control group.Baseline data of both groups were collected,and fluorescence quantitative PCR was used to measure the expression levels of miR-206 and miR-186 in the serum.According to the severity of VD,the patients were assigned into mild,moderate,and severe VD groups.The elderly patients with VD were followed up for 6 months after discharge.According to the prognosis,the patients were assigned into good/moderate and poor prognosis groups.The baseline data and the serum levels of miR-206 and miR-186 were compared between the control and VD groups as well as between the good/moderate and poor prognosis groups.The serum levels of miR-206 and miR-186 were compared between the mild,moderate,and severe VD groups.The correlations of serum miR-206 and miR-186 levels with mini-mental state examination (MMSE) score in elderly patients with VD were analyzed,on the basis of which the factors affecting the poor prognosis of elderly patients with VD were predicated.Furthermore,the predictive values of serum levels of miR-206 and miR-186 on the poor prognosis of elderly patients with VD were evaluated. Results The VD group had higher proportions of diabetes history (P=0.021),hypertension history (P<0.001),and hyperlipidemia history (P<0.001),higher serum levels of miR-206 (P<0.001) and miR-186 (P<0.001),and lower score of activity of daily living (P<0.001) than the control group.The serum miR-206 and miR-186 levels varied between the mild,moderate,and severe VD groups (all P<0.001).The trend test results showed that serum miR-206 and miR-186 levels presented a rising trend in mild,moderate,and severe VD groups (all P<0.001).The serum miR-206 and miR-186 levels in elderly VD patients were negatively correlated with the MMSE score (all P<0.001).The poor prognosis group had lower MMSE score and higher serum levels of miR-206 and miR-186 than the good/moderate prognosis group (all P<0.001).The MMSE score was a protective factor and miR-206 and miR-186 were risk factors for poor prognosis in elderly patients with VD (P=0.005,P=0.001,P=0.007).The area under curve of combined serum miR-206 and miR-186 levels in predicting poor prognosis in the elderly patients with VD was 0.963,which was higher than those (0.866 and 0.878) of serum miR-206 and miR-186 levels separately (P=0.010,P=0.020). Conclusions The serum levels of miR-206 and miR-186 in elderly patients of VD are high and closely related to the severity and prognosis of VD.The combination of the two demonstrates high performance in predicting the prognosis of elderly patients with VD.
Humans ; MicroRNAs/genetics* ; Aged ; Prognosis ; Male ; Female ; Dementia, Vascular/genetics* ; Severity of Illness Index ; Case-Control Studies ; Aged, 80 and over

OBJECTIVE To explore the efficacy of Sour Jujube Seed Decoction combined with Huanglian Wendan Decoction on adult chronic insomnia and its effect on hypnotic withdrawal.METHODS 187 patients with chronic insomnia were included for anal-ysis,including 102 in the traditional Chinese medicine(TCM)group and 85 in the western medicine group.The TCM group was trea-ted with Sour Jujube Seed Decoction combined with Huanglian Wendan Decoction,while the western medicine group was treated with benzodiazepine under the consideration of doctor.The intervention period was 1 month,with assessments using the Pittsburgh Sleep Quality Index(PSQI)conducted before and after the intervention.Follow-up evaluations were performed at 3 months and 6 months re-spectively after the intervention.RESULTS There was no significant difference between the two groups at baseline.After the inter-vention,the PSQI scores of patients in both groups were significantly improved(P<0.01).Among them,the TCM group was better than the western medicine group in the improvement of sleep quality and sleeping pills,total PSQI score reduction(P<0.01).The re-sults of linear regression analysis showed that after controlling for confounding factors,the regression coefficients of the TCM group in two different models were1.821 and 1.922 respectively,and the former was statistically significant(P<0.05).By screening patients who took hypnotics at baseline in the TCM group and comparing them with those in the western medicine group,the influencing factors of hypnotic withdrawal were analyzed.During the 3-month follow-up,25 out of 39 patients in the TCM group and 17 out of 80 patients in the western medicine group had hypnotic withdrawal(χ2= 19.25,P<0.001);during the 6-month follow-up,23 of the 39 patients in the TCM group and 18 of the 79 patients in the western medicine group had hypnotic withdrawal(χ2= 13.53,P<0.001),the with-drawal rate of patients in the TCM group was significantly higher than that in the western medicine group.Further regression analysis showed that after adjusting for confounding factors,the results showed that the western medicine group had a significantly higher rate of not withdrawal than the TCM group at 3 months(OR=5.50,95%CI:2.30～13.72)and 6 months(OR=6.43,95%CI:2.54～17.77),and the results were statistically different(P<0.05).CONCLUSION Sour Jujube Seed Decoction combined with Huangli-an Wendan Decoction is effective in treating adult chronic insomnia and assisting in hypnotic withdrawal.

Aim To examine the effect of peptide P3 on lipid accumulation in RAW264.7 cells and the underlying molecular mechanism. Methods MTT method was used to screen the concentration of peptide P3 and oxidized low density lipoprotein(ox-LDL),and RAW.264.7 cells were induced to form foam cells by ox-LDL with 80 mg·L

ObjectiveTo explore the guidance value of “treatment of disease in accordance with three conditions” theory in the prevention and treatment of corona virus disease 2019（COVID-19） based on the differences of syndromes and traditional Chinese medicine（TCM） treatments in COVID-19 patients from Xingtai Hospital of Chinese Medicine of Hebei province and Ruili Hospital of Chinese Medicine and Dai Medicine of Yunnan province and discuss its significance in the prevention and treatment of the unexpected acute infectious diseases. MethodDemographics data and clinical characteristics of COVID-19 patients from the two hospitals were collected retrospectively and analyzed by SPSS 18.0. The information on formulas was obtained from the hospital information system （HIS） of the two hospitals and analyzed by the big data intelligent processing and knowledge service system of Guangdong Hospital of Chinese Medicine for frequency statistics and association rules analysis. Heat map-hierarchical clustering analysis was used to explore the correlation between clinical characteristics and formulas. ResultA total of 175 patients with COVID-19 were included in this study. The 70 patients in Xingtai，dominated by young and middle-aged males，had clinical symptoms of fever， abnormal sweating，and fatigue. The main pathogenesis is stagnant cold-dampness in the exterior and impaired yin by depressed heat， with manifest cold， dampness， and deficiency syndromes. The therapeutic methods highlight relieving exterior syndrome and resolving dampness， accompanied by draining depressed heat. The core Chinese medicines used are Poria，Armeniacae Semen Amarum，Gypsum Fibrosum，Citri Reticulatae Pericarpium，and Pogostemonis Herba. By contrast，the 105 patients in Ruili， dominated by young females， had atypical clinical symptoms， and most of them were asymptomatic patients or mild cases. The main pathogenesis is dampness obstructing the lung and the stomach， with obvious dampness and heat syndromes. The therapeutic methods are mainly invigorating the spleen， resolving dampness， and dispersing Qi with light drugs. The core Chinese medicines used are Poria，Atractylodis Macrocephalae Rhizoma，Glycyrrhizae Radix et Rhizoma，Coicis Semen，Platycodonis Radix，Lonicerae Japonicae Flos， and Pogostemonis Herba. ConclusionThe differences in clinical characteristics， TCM syndromes， and medication of COVID-19 patients from the two places may result from different regions，population characteristics， and the time point of the COVID-19 outbreak. The “treatment of disease in accordance with three conditions” theory can help to understand the internal correlation and guide the treatments.

Objective - To analyze the prevalence and influencing factors of work related musculoskeletal disorders (WMSDs) Methods among painters in the manufacturing industry. A total of 639 painters from one shipbuilding enterprise, one automobile manufacturing enterprise and three wooden furniture manufacturing enterprises in Guangdong Province were selected as the research subjects using typical sampling method. The Chinese version of Musculoskeletal Disorders Questionnaire was Results used to investigate the prevalence of WMSDs in the past one year, and the influencing factors were analyzed. The total prevalence rate of WMSDs among painters in the manufacturing industry was 37.4%. The prevalence of WMSDs in different vs vs P industries from high to low was shipbuilding, automobile and furniture manufacturing (50.0% 38.7% 29.0%, <0.01). The prevalence of WMSDs in different parts of the body from high to low was neck, ankle/foot, shoulder, low back, upper back, knee, vs vs vs vs vs vs vs vs P hand/wrist, hip/leg and elbow (20.7% 19.2% 17.4% 15.8% 14.1% 13.8% 13.5% 9.5% 6.6%, <0.01). Multivariate logistic regression analysis results showed that working in uncomfortable postures was a risk factor for neck, ankle/ P P foot and shoulder WMSDs (all <0.01); long time head turning was a risk factor for neck and shoulder WMSDs (both <0.05); P overweight and obesity, and bending and turning frequently at the same time were risk factors for ankle/foot WMSDs (all <0.05); P adequate rest time was a protective factor for neck and ankle/foot WMSDs (both <0.01); participated in physical exercise more P than once a week was a protective factor of neck and shoulder WMSDs in painters (all <0.05), after excluding the influence of Conclusion confounding factors. The prevalence of WMSDs in manufacturing painters was high, and the main body parts E mail 4813545@qq.com E mail wangzhongxu2003@163.com· · 中国职业医学 年 月第 卷第 期 ， ， ， 482 2022 10 49 5 Chin Occup Med October 2022 Vol.49 No.5 involved were neck, ankle/foot and shoulder. The influencing factors include individual factors, poor ergonomics factors and unreasonable work organization.

Objective - - To analyze the prevalence and influencing factors of multi site work related musculoskeletal disorders （ ） Methods WMSDs in surgeons. A total of 102 surgeons from four hospitals were selected as study subjects by convenient sampling method. The Chinese version of Musculoskeletal Disorders Questionnaire was used to investigate the prevalence of ， Results WMSDs in the past one year the related individuals and occupational factors. The total prevalence of WMSDs among （ ）， （ ） （ ） surgeons was 54.9%. The top three sites were neck 48.0% lower back 35.3% and shoulder 32.4% . The prevalence of （ vs ，P ） WMSDs in multiple sites was higher than that in a single site 43.1% 11.8% <0.01 . Multivariate logistic regression ， ， analysis showed that surgeons who smoked were tired at work and had a bent back had a higher risk of developing WMSDs ［ （ - ）， （ - ）， （ - ）， P ］ odds ratios and 95% confidence intervals were 3.66 1.41 9.46 8.33 2.15 32.20 and 18.74 2.14 166.77 all <0.01 Conclusion - after excluding the influence of confounding factors. The prevalence rate of multi site WMSDs among surgeons is ， high and the influencing factors include bad living habits and occupational factors such as working load and working posture.