Objective] To analyze the medication experience of Zhong Yi-tang for insomnia by using TCM inheritance support system 1.1ver.[Methods] The prescriptions of Zhong Yi-tang for insomnia were collected and input the data into TCM inheritance support system .The frequency and association rules of drugs were calculated by using data mining methods such as apfiofi algorithm,complex system entropy cluster and unsupervised hierarchical cluster,and medication rule of Zhong Yi-tang for epigastric pain was analyzed.[Results] Based on the analysis of 354 prescriptions, the frequency of each herb and association rules among the herbs were computed. Spine date seed, tuber fleeceflower stem, paeony, red sage root, boxthorn and Chinese Date were highly frequently found, 18 pairs of Chinese medicines based on these and 5 core combinations such as ganmai-dazao decoction were mined out . [Conclusion] Zhong Yi-tang usually used ganmai-dazao decoction, spine date seed, tuber fleeceflower stem and red sage root to cure insomnia. The sweet and moistening Chinese medcine were used to strengthen-spleen-stomach, benefiting ying-blood, and nourishing the heart-blood. Data mining method can be used to analyze old TCM doctors’clinical experience.

Objective To evaluate the sensitivity and specificity of different HbA1C cutoff points for diabetes diagnosis in high risk outpatients in Harbin.Methods A total of 2 122 high risk outpatients(male 1 032 and female 1 090)for diabetes screening in the Fourth affiliated Hospital of Harbin Medical University from April 2013 to February 2015 were included in this study, with the average age of(49.26±13.00)year. Oral glucose tolerance tests(OGTT)were conducted and HbA1C levels were examined in these patients. The sensitivity and specificity of different HbA1C cutoff points were calculated and a receiver operator characteristic(ROC)curve was then built.Results The average level of HbA1C in these subjects was(6.45±1.72)%. The prevalence of diabetes was 41.85%. The area under ROC curve(AUC)was 0.89 with the optimal cutoff point of HbA1C 6.0% and 0.68 for the highest Yonden index. The sensitivity and specificity of HbA1C 6.0% were 84.01% and 83.67% respectively. The sensitivity and specificity of HbA1C 6.5% were 62.84% and 95.92%, respectively. The AUC of HbA1C≥6.5% was 0.732. Conclusion HbA1C works well as the diagnostic standard for diabetes in high risk outpatients of Harbin city. The cutoff point of HbA1C 6.0% is suitable for screening diabetes in high risk population, and HbA1C 6.5% is appropriate for diabetes diagnosis, with high sensitivity and specificity.

OBJECTIVETo investigate the effect of peroxisome proliferator-activated receptors γ (PPARγ) on insulin receptor substrate-4 (IRS-4) gene expression in the brain.

METHODSPrimarily cultured cortical neurons from E17-18 Sprague Dawley rats, after 1 week of plating, were exposed to 10 µmol/L PPARγ agonist rosiglitazone for 0, 1, 4 or 24 h. Adult C57BL/6J mice or conditional brain PPARγ knock-out mice (B-PPARγ-KO, BKO) received an intraperitoneal injection of rosiglitazone in 10% DMSO at 12 mg/kg or injection of the same volume of saline containing 10% DMSO. The effect of rosiglitazone on the survival of the neurons was examined by MTT assay. The expression of IRS-4 mRNA was analyzed by real-time quantitative PCR.

RESULTSThe survival of the cortical neurons showed no significant difference between the agonist groups and the control group. The expression of IRS-4 mRNA was significantly up-regulated in the cortical tissues and neurons of the agonist groups compared with the control groups (P<0.05), but in BKO mice without treatment, IRS-4 mRNA expression was significantly down-regulated (P<0.05).

CONCLUSIONPPARγ can enhance the expression of IRS-4 mRNA in the brain.

Animals ; Cell Survival ; drug effects ; Cells, Cultured ; Cerebral Cortex ; cytology ; metabolism ; Female ; Gene Transfer Techniques ; Insulin Receptor Substrate Proteins ; genetics ; metabolism ; Male ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Neurons ; cytology ; metabolism ; PPAR gamma ; agonists ; genetics ; metabolism ; Pregnancy ; RNA, Messenger ; metabolism ; Rats ; Rats, Sprague-Dawley ; Thiazolidinediones ; pharmacology ; Up-Regulation

Objective:To compare the predictive value of the HEART, TIMI and GRACE scores for major adversecardiovascular events (MACEs) at 7 and 28 days in patients with actue non-ST-segment elevation myocardial infarction (NSTEMI).Methods:More than 12 000 patients with chest pain from the Emergency Department of Zhongshan Hospital Affiliated to Fudan University from October 2017 to October 2018 were studied, including 566 patients with cardiogenic chest pain, 105 patients with ST-segment elevation myocardial infarction (STEMI) excluded and 15 patients lost to follow-up. Finally, 109 patients with NSTEMI and 337 non-myocardial patients with cardiogenic chest pain were enrolled. NSTEMI patients were divided into subgroups according to whether MACEs occurred. LSD t-test, Mann-Whitney U test or χ2 test were used to analyze and compare the differences between the two subgroups about the baseline data, clinical data, HEART, TIMI and GRACE scores at the time of visit. Multivariate logistic regression analysis was used to explore the independent factors of MACEs at 7 and 28 days. And the predictive values of different scores for 7-day MACEs and 28-day MACEs were compared in NSTEMI patients through the receiver operating characteristic (ROC) curve. Results:Compared NSTEMI patients with non-myocardial patients with cardiogenic chest pain, we found a statistically significant differences in sex, past history of coronary heart disease,≥3 risk factors for atherosclerosis, electrocardiogram, high-sensitivity troponin T (hs-cTnT), creatinine value, past history of myocardial infarction, HEART score, TIMI score and GRACE score. In further subgroup analysis of NSTEMI patients who were divided according to whether MACEs occurred, we found previous history of stroke and increased hs-cTnT were statistically different in 7 days after the onset of the disease. The multivariate analysis showed that the previous history of stroke and increased hs-cTnT were independent factors for the occurrence of MACEs at 7 days after the onset of NSTEMI; The previous history of stroke and increased hs-cTnT, electrocardiogram ST segment depression and TIMI score were statistically different at 28 days after the onset of NSTEMI. The multivariate analysis showed that the previous history of stroke and TIMI score were independent factors for the occurrence of MACEs at 28 days after the onset of NSTEMI patients. ROC curve indicated that the predictive value of TIMI score (AUC=0.715, 95% CI: 0.482-0.948) was better than HEART (AUC=0.659, 95% CI: 0.414-0.904) and GRACE scores (AUC=0.587, 95% CI: 0.341-0.833)in predicting MACEs in NSTEMI patients. Conclusions:HEART score, TIMI score and GRACE score can be used to evaluate NSTEMI patients. There is an independent predictive value on TIMI score for the occurrence of 28-day MACEs in NSTEMI patients.

Objective:To explore the risk stratification value of HEART score combined with cardiac troponin (cTn) in emergency patients with chest pain.Methods:A total of 11 583 patients with chest pain who visited the Emergency Department of Zhongshan Hospital Affiliated to Fudan University from January to December 2019 were retrospectively collected. Patients who unfinished 0 h high-sensitivity cardiac troponin T (hs-cTnT) or electrocardiogram diagnosed ST-segment elevation myocardial infarction (STEMI) or lost to follow-up were excluded, and 7 057 patients were finally included. The final diagnosis of chest pain and the occurrence of major adverse cardiovascular events within 6 mon (6 m MACEs) were followed up by telephone and medical history. The HEART score of each patient was calculated by two attending physicians, and the patients were divided into the low-risk group (0-3 points), intermediate-risk group (4-6 points) and high-risk group (7-10 points) according to the final score. The risk stratification performance and safety of HEART score were observed and analyzed. A total of 1 884 patients who completed serial hs-cTnT tests were divided into groups according to HEART score (≤3 as low-risk group) and HEART score combined with serial hs-cTnT pathway (HEART score ≤3 and two hs-cTnT measurements <0.03 ng/mL as the low-risk group). The sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) of each diagnostic method were calculated to compare the diagnostic performance of the two predictive values.Results:The patients were divided into 3 groups by HEART score : 2 765 (39.2%) patients in the low-risk group, 3 438 (48.7%) in the intermediate-risk group, and 854 (12.1%) in the high-risk group. The incidence of 6 m MACEs in each group was 1.2%, 18% and 55.3%, respectively. When the low-risk threshold was 2, 23.1% of patients entered the low-risk group and the incidence of 6 m MACEs was 0.9%. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive performance of the HEART score for 6 m MACEs, and the final AUC was 0.831 ( P=0.006, 95% CI: 0.819-0.843). Regarding the occurrence of NSTEMI at the time of this visit, 4 (0.8%) patients were misdiagnosed by using the HEART score alone. Combined with serial troponin detection, the diagnostic SE and NPV were both 100%; at the same time, the diagnostic SE and NPV of 6 m MACEs in patients increased from 98.1% (95% CI: 96.9%-99.1%), 97.9% (95% CI: 96.2%-99%) to 99.1% (95% CI: 97.9%-99.7%) and 98.9% (95% CI: 97.4%-99.6%), the diagnosis SE and NPV of 6 m myocardial infarction and cardiac death in patients increased from 98% (95% CI: 96%-99.2%), 98.6% (95% CI: 97%-99.4%) to 99.2% (95% CI: 97.6%-99.8%) and 99.3% (95% CI: 98.1%-99.9%). Conclusions:The HEART score can be used for risk assessment in emergency patients with chest pain, and a threshold of 2 is recommended for the low-risk group. The diagnostic performance of HEART score combined with serial cTn is better than that of HEART score alone.

Objective:To investigate the clinical characteristics of patients with acute aortic dissection (AAD) through a retrospective and observational study, and to construct an early warning model of AAD that could be used in the emergency room.Methods:The data of 11 583 patients in the Emergency Chest Pain Center from January to December 2019 were retrospectively collected from the Chest Pain Database of Zhongshan Hospital Affiliated to Fudan University. Inclusion criteria: patients with chest pain who attended the Emergency Chest Pain Center between January and December 2019. Exclusion criteria were 1) younger than 18 years, 2) no chest/back pain, 3) patients with incomplete clinical information, and 4) patients with a previous definite diagnosis of aortic dissection who had or had not undergone surgery. The clinical data of 9668 patients with acute chest/back pain were finally collected, excluding 53 patients with previous definite diagnosis of AAD and/or without surgical aortic dissection. A total of 9 615 patients were enrolled as the modeling cohort for early diagnosis of AAD. The patients were divided into the AAD group and non-AAD group according to whether AAD was diagnosed. Risk factors were screened by univariate and multivariate logistic regression, the best fitting model was selected for inclusion in the study, and the early warning model was constructed and visualized based on the nomogram function in R software. The model performance was evaluated by accuracy, specificity, sensitivity, positive likelihood ratio and negative likelihood ratio. The model was validated by a validation cohort of 4808 patients who met the inclusion/exclusion criteria from January 2020 to June 2020 in the Emergency Chest Pain Center of the hospital. The effect of early diagnosis and early warning model was evaluated by calibration curve.Results:After multivariate analysis, the risk factors for AAD were male sex ( OR=0.241, P<0.001), cutting/tear-like pain ( OR=38.309, P<0.001), hypertension ( OR=1.943, P=0.007), high-risk medical history ( OR=12.773, P<0.001), high-risk signs ( OR=7.383, P=0.007), and the first D-dimer value ( OR=1.165, P<0.001), Protective factors include diabetes( OR=0.329, P=0.027) and coronary heart disease ( OR=0.121, P<0.001). The area under the ROC curve (AUC) of the early diagnosis and warning model constructed by combining the risk factors was 0.939(95 CI:0.909-0.969). Preliminary validation results showed that the AUC of the early diagnosis and warning model was 0.910(95 CI:0.870-0.949). Conclusions:Sex, cutting/tear-like pain, hypertension, high-risk medical history, high-risk signs, and first D-dimer value are independent risk factors for early diagnosis of AAD. The model constructed by these risk factors has a good effect on the early diagnosis and warning of AAD, which is helpful for the early clinical identification of AAD patients.

Objective To explore the value of multiple non-gaussian distribution models DWI in evaluating hepatic ischemia reperfusion injury (HIRI) model in rats.Methods Forty-two SD rats were divided into 7 groups by random numeric table method.Each group had 6 rats.The 7 groups were 6 h,12 h,1 d,3 d,7 d,14 d group after HIRI and control group,respectively.The experimental groups underwent right hepatic portal vein and hepatic artery ligation,and received reperfusion 3 h after operation.MRI scanning (T1WI,T2WI,single b-values DWI and 15 b-values DWI) was performed at 6 h,12 h,1 d,3 d,7 d and 14 d after reperfusion.The control group underwent sham operation and MRI scanning.According to monoexponential model,biexponential model,threxponential model,stretched-exponential model DWI and diffusion kurtosis imaging,many parametres were obtained and their dynamic changes at each time point were observed.The parameters included standard apparent diffusion coefficient (ADCs),pure diffusion coefficients (D),pseudodiffusion coefficients (D*),perfusion fraction (f),ultra-high apparent diffusion coefficient (ADCu),distributed diffusion coefficient (DDC),water diffusion heterogeneity index (or),mean diffusion coefficient (MD) and mean diffusion kurtosis (MK).One way ANOVA was used to compare the differences of parameters among different groups.Results MRI examination and pathological examination were successfully completed in all rats.The right hepatic lobe in the experimental groups appeared hypointense on T1WI and hyperintense on T2WI relative to control group from 6 h after operation.The infarcted liver lobe in the experimental groups became significantly smaller at 1 week after HIRI and almost disappeared at 2 weeks after HIRI.The findings of DWI at different b-values were consistent with those at T2WI.There were significant differences in parameters among 6 h,12 h,1 d,3 d,7 d,14 d groups after HIRI and control group (P＜0.05).There were significant differences among 12 h after HIRI,1 d after HIRI,3 d after HIRI and 6 h after HIRI,7 d after HIRI,14 d after HIRI,control group concerning ADCs values respectively (P＜0.05).There were significant differences among 6 h after HIRI,12 h after HIRI,1 d after HIRI,3 d after HIRI,7 d after HIRI and 14 d after HIRI,control group concerning D,D*,f,ADCu,α,DDC,MK values respectively (P＜0.05).In addition,there were significant differences among 1 d after HIRI,3 d after HIRI and 6 h after HIRI,12 h after HIRI,7 d after HIRI and 14 d after HIRI,control group concerning D values respectively (P＜0.05).There were significant differences among 6 h after HIRI,12 h after HIRI,1 d after HIRI,3 d after HIRI and 7 d after HIRI,14 d after HIRI,control group concerning f values respectively (P＜0.05).There were significant differences among 12 h after HIRI and 14 d after HIRI,control group concerning MD values respectively (P＜0.05).There were significant differences between 1 d after HIRI and 14 d after HIRI concerning MD values (P＜0.05).Conclusion Multiple non-gaussian distribution models DWI is superior to conventional DWI in evaluating HIRI model in rats.

Objective To investigate the effect of peroxisome proliferator-activated receptors γ (PPARγ) on insulin receptor substrate-4 (IRS-4) gene expression in the brain. Methods Primarily cultured cortical neurons from E17-18 Sprague Dawley rats, after 1 week of plating, were exposed to 10μmol/L PPARγagonist rosiglitazone for 0, 1, 4 or 24 h. Adult C57BL/6J mice or conditional brain PPARγ knock-out mice (B-PPARγ-KO, BKO) received an intraperitoneal injection of rosiglitazone in 10%DMSO at 12 mg/kg or injection of the same volume of saline containing 10%DMSO. The effect of rosiglitazone on the survival of the neurons was examined by MTT assay. The expression of IRS-4 mRNA was analyzed by real-time quantitative PCR. Results The survival of the cortical neurons showed no significant difference between the agonist groups and the control group. The expression of IRS-4 mRNA was significantly up-regulated in the cortical tissues and neurons of the agonist groups compared with the control groups (P<0.05), but in BKO mice without treatment, IRS-4 mRNA expression was significantly down-regulated (P<0.05). Conclusion PPARγcan enhance the expression of IRS-4 mRNA in the brain.

Objective To investigate the effect of peroxisome proliferator-activated receptors γ (PPARγ) on insulin receptor substrate-4 (IRS-4) gene expression in the brain. Methods Primarily cultured cortical neurons from E17-18 Sprague Dawley rats, after 1 week of plating, were exposed to 10μmol/L PPARγagonist rosiglitazone for 0, 1, 4 or 24 h. Adult C57BL/6J mice or conditional brain PPARγ knock-out mice (B-PPARγ-KO, BKO) received an intraperitoneal injection of rosiglitazone in 10%DMSO at 12 mg/kg or injection of the same volume of saline containing 10%DMSO. The effect of rosiglitazone on the survival of the neurons was examined by MTT assay. The expression of IRS-4 mRNA was analyzed by real-time quantitative PCR. Results The survival of the cortical neurons showed no significant difference between the agonist groups and the control group. The expression of IRS-4 mRNA was significantly up-regulated in the cortical tissues and neurons of the agonist groups compared with the control groups (P<0.05), but in BKO mice without treatment, IRS-4 mRNA expression was significantly down-regulated (P<0.05). Conclusion PPARγcan enhance the expression of IRS-4 mRNA in the brain.

Objective Based on the theory of"gut-brain",this study explored the effect of acupuncture on the gut microbiota and central inflammation in migraine model rats,in order to explore the mechanism of acupuncture in the treatment of migraine from the perspective of"gut-brain".Methods The migraine rat model was established by subcutaneous injection of nitroglycerin.They were randomly divided into a model group and an acupuncture group,with 6 rats in each group,and a control group with 6 rats for conventional binding and fixation.Before modeling and on the 1st,5th,and 9th days after modeling,each group used electronic VonFrey to measure the plantar mechanical pain threshold of rats.After the experiment,Elisa was used to detect the expression levels of inflammatory factors IL-6 and TNF-α in the central trigeminal spinal nucleus of the rats in each group.Three-generation Pacbio full-length microbial diversity sequencing was used to perform 16S full-length rDNA sequencing on each group of fecal samples to detect the operational taxonomic unit(OTU)clustering and its abundance,Alpha diversity index,Beta diversity index,species among the samples in each group.differences in abundance.Results In migraine model rats,plantar mechanical pain threshold was significantly decreased(P<0.01),central IL-6 and TNF-α contents were significantly increased(P<0.01),and the structure and abundance of gut microbiota were abnormal.change(P<0.01).Continuous acupuncture treatment can significantly increase the plantar mechanical pain threshold in migraine rats(P<0.01),regulate the diversity of gut microbiota in migraine rats,increase Lactobacillus murine,and reduce the abundance of Lactobacillus enterobacteriaceae.degree(P<0.05),and decreased the levels of IL-6 and TNF-α in the central nervous system of migraine model rats(P<0.01).Conclusion Acupuncture can exert the"gut-brain"anti-inflammatory and analgesic effect of acupuncture in the treatment of migraine by regulating the gut microbiota structure and the expression of central IL-6 and TNF-α inflammatory factors in migraine model rats.