An artificial neural network method for quality estimation of traditional Chinese medicine was suggested, and quality of Hou-Po was estimated by the proposed method in comparison with the analytical results of gas-liquid chromatography. The successful rate reached 100%. The results showed that the neural network method is reliable, and therefore may be referred to as an effective technique for the quality estimation of traditional Chinese medicine.

Atrial Fibrillation ; therapy ; Coronary Vessels ; Humans ; Percutaneous Coronary Intervention

Kawasaki disease is an acute, systemic vasculitis that easily injures coronary arteries and is the leading cause of acquired heart disease in children.Although the cause of Kawasaki disease remains unknown, it is widely believed that the pathogenesis of Kawasaki disease is an inflammatory cascade caused by a combination of infection and genetic predisposition.Regulatory T cells, which express Foxp3 + , CD4 + and CD25 + , are a T-cell subpopulation specialized in immune suppression.There are some correlations between regulatory T cells and Kawasaki disease in pathophysiology, treatment and prognosis.The dysfunction of regulatory T cells may be involved with the pathogenesis of Kawasaki disease, but there are few researches on it.This article reviews the progress of regulatory T cells in Kawasaki disease in recent years and summarizes the mechanism of regulatory T cells in the occurrence and repair of Kawasaki disease, prospecting the research future of targeted regulatory T cells therapy in the prevention of coronary artery lesions in Kawasaki disease.

Objective:To analyze risk factors for unfavorable outcomes after recanalization of large vessel occlusion (LVO) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS-LVO who underwent recanalization treatment (including intravenous thrombolysis and endovascular intervention) at the Stroke Unit of Beijing Hospital from August 2018 to January 2022 were consecutively enrolled. According to the modified Rankin Scale (mRS) at 90-day follow-up after recanalization treatment, participants were classified as unfavorable outcomes (mRS>2) and favorable outcomes (mRS≤2). Baseline clinical data of enrolled patients was collected, and step-wise multivariate logistic regression analysis was used to identify independent risk factors for unfavorable outcomes after recanalization in AIS-LVO patients.Results:A total of 212 AIS-LVO patients were enrolled, including 86 females (41.35%), with an average age of 72.9 years. There were 75 patients in the favorable outcome group and 137 patients in the unfavorable outcome group. Compared with the favorable outcome group, the unfavorable outcome group had a higher average age, a higher proportion of females and patients with atrial fibrillation, higher baseline NIHSS, higher systolic blood pressure, and higher blood creatinine and D-dimer levels (all P<0.05). After adjusting for age and atrial fibrillation as confounding factors, multivariate logistic regression analysis showed that female ( OR=2.859, 95% CI: 1.202-6.799, P=0.018), higher baseline NIHSS ( OR=14.417, 95% CI: 6.269-33.158, P<0.001), higher pre-treatment systolic blood pressure ( OR=1.034, 95% CI: 1.015-1.054, P=0.001), higher emergency blood creatinine level ( OR=1.378, 95% CI: 1.105-1.719, P=0.005), and higher D-dimer level ( OR=3.594, 95% CI: 1.290-10.014, P=0.014) were independent risk factors for unfavorable outcomes after recanalization treatment in patients with AIS-LVO. Conclusion:Female, higher NIHSS, higher systolic blood pressure, higher blood creatinine level and D-dimer level are independent risk factors for unfavorable functional outcomes at 90 days after recanalization treatment of large vessel occlusion in patients with acute ischemic stroke.

Objective:To investigate the predictive value of preoperative D-dimer level for futile recanalization (FR) after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS).Methods:It was a nested case-control study. A total of 116 patients with large vessel occlusion (LVO) stroke, who underwent successful recanalization (modified Thrombolysis in Cerebral Infarction, mTICI≥2b) after MT at the Stroke Unit of Beijing Hospital from August 2018 to January 2022,were consecutively enrolled, including 72 males (62.1%) with the age of (72.8±13.1) years. According to the 3-month modified Rankin Scale (mRS) score after MT, patients were divided into the meaningful recanalization group (mRS 0-2, n=41) and the futile recanalization group (mRS 3-6, n=75). The baseline clinical data of enrolled patients was collected. Logistic regression analysis was used to identify the independent risk factors for FR after MT in patients with AIS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of D-dimer for FR. Results:Multivariate logistic regression analysis showed that high baseline systolic blood pressure (SBP) ( OR=1.038, 95% CI: 1.012-1.065, P=0.004), baseline National Institutes of Health Stroke Scale (NIHSS) score≥12 ( OR=10.157, 95% CI: 3.624-28.470, P<0.001) and high preoperative D-dimer level ( OR=4.536, 95% CI: 1.379-14.922, P=0.013) were independent predictors of FR after MT in AIS patients with LVO. ROC curve analysis indicated a good predictive value of preoperative D-dimer for the occurrence of FR ( AUC=0.733, 95% CI: 0.638-0.829, P<0.05), the optimal cut-off value of D-dimer was 2.65 μg/L(Lg), with the Youden index, sensitivity, specificity and accuracy of 0.435, 53.3%, 90.2% and 66.4%, respectively. Conclusion:High preoperative D-dimer level is an independent predictor of futile recanalization after MT in AIS patients with LVO, which shows good predictive ability for futile recanalization.

ObjectiveTo analyze the differences in color， odor and volatile components of Citri Reticulatae Pericarpium（CRP） before and after being stir-fried with Halloysitum Rubrum， and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the volatile components were analyzed by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. According to the principle of variable importance in the projection（VIP） value>1.5， volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose， the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum， of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected， including α-pinene， β-myrcene， linalool， sabinene， ocimene isomer mixture， A-ocimene， and δ-elemene. After being processed with Halloysitum Rubrum， the brightness value（L^*）， yellow-blue value（b^*） and total chromatic value（E^*_ab） of CRP were decreased（P<0.01）， and red-green value（a^*） was increased（P<0.01）， the response values of S4， S5， S10 and S13 sensors were significantly increased（P<0.05）， and the response values of S3 and S8 sensors were significantly decreased（P<0.05）. Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L^* and E^*_ab， but positively correlated with a^*. Sabinene was positively correlated with L^* and E^*_ab. Linalool was positively correlated with L^* and E^*_ab， and negatively correlated with a^*. The ocimene isomer mixture was positively correlated with the L^*. ConclusionAfter being processed with Halloysitum Rubrum， the appearance color， odor and volatile components of CRP change significantly， and α-pinene， β-myrcene， sabinene， linalool and A-ocimene are the characteristic volatile components before and after processing， which can provide references for the quality evaluation and clinical application of CRP and its processed products.

ObjectiveTo analyze the differences in color， odor and volatile components of Citri Reticulatae Pericarpium（CRP） before and after being stir-fried with Halloysitum Rubrum， and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the volatile components were analyzed by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. According to the principle of variable importance in the projection（VIP） value>1.5， volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose， the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum， of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected， including α-pinene， β-myrcene， linalool， sabinene， ocimene isomer mixture， A-ocimene， and δ-elemene. After being processed with Halloysitum Rubrum， the brightness value（L^*）， yellow-blue value（b^*） and total chromatic value（E^*_ab） of CRP were decreased（P<0.01）， and red-green value（a^*） was increased（P<0.01）， the response values of S4， S5， S10 and S13 sensors were significantly increased（P<0.05）， and the response values of S3 and S8 sensors were significantly decreased（P<0.05）. Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L^* and E^*_ab， but positively correlated with a^*. Sabinene was positively correlated with L^* and E^*_ab. Linalool was positively correlated with L^* and E^*_ab， and negatively correlated with a^*. The ocimene isomer mixture was positively correlated with the L^*. ConclusionAfter being processed with Halloysitum Rubrum， the appearance color， odor and volatile components of CRP change significantly， and α-pinene， β-myrcene， sabinene， linalool and A-ocimene are the characteristic volatile components before and after processing， which can provide references for the quality evaluation and clinical application of CRP and its processed products.