Objective To analyze the medication regularity of TCM famous doctors for diabetes by using improved Apriori algorithm to obtain more efficient data mining methods. Methods This article put forward Apriori vertical data storage, and improved ADPM obtained by difference set method was used to conduct data mining to find out the medication regularity in Guo Jia Ji Ming Lao Zhong Yi Tang Niao Bing Yan An Liang Fang. Results After screening, 402 prescriptions were included, involving 24 kinds of high-frequency medicine, 15 high-frequency medical combinations, and 18 highly-dependent medical combinations, which were mainly tonifying deficiency medicine, clearing heat medicine, blood-activating and stasis-resolving medicine, and damp-draining diuretic medicine. Conclusion ADPM algorithm can be applied in the analysis on medication regularity and find out high-frequency medicine, medical combinations and medical dependent relation, with high efficiency.

OBJECTIVETo study the immunoregulatory effect of hepatitis B virus (HBV) e antigen (HBeAg) on peripheral blood monocytes (PBMCs).

METHODSPBMCs were isolated from patients with chronic hepatitis B (CHB; both HBeAg- and HBeAg+) and healthy controls, and cultured with recombinant HBeAg. The HBeAg-induced changes in expression of PD-1/PD-L1 were measured by flow cytometry of the cells and in secreted cytokines were measured by enzyme-linked immunosorbent assay of the supernatants. Comparisons between two groups were made by the independent-samples t-test; the relationship between PD-1/B7-H1 level and HBV DNA copy number was evaluated by Spearman's correlation analysis.

RESULTSExposure to HBeAg led to a significant decrease in CD3+CD4+ T lymphocyte-specific expression of IFNa for both the CHB patients' and healthy controls' samples (t = 2.382 and -4.190 respectively, P less than 0.01). For the HBeAg- CHB patients' and healthy controls' samples, the HBeAg exposure led to increased levels of secreted cytokines IL-6, IL-10 and TNFa (t = 2.504, 3.583 and 4.324, P less than 0.01 and t = 3.542, 6.246 and 5.273, P less than 0.01 respectively) and of CD14+ PBMC-specific expression of PD-L1 (t = 4.815 and 3.454, P less than 0.05 respectively). Compared to the HBeAg-negative CHB patients' and healthy controls' samples, the HBeAg+ CHB patients' samples had significantly lower CD3+CD4+ T cell-specific expression of IFNa (t = -3.177 and -4.541, P less than 0.01 respectively), but significantly higher levels of secreted IL-4 (t = 3.382 and 4.393, P less than 0.01 respectively), of CD3+ T cells-specific expression of PD-1/PD-L1 (t = 4.755, 2.942 and 4.518, 4.595, P less than 0.01 respectively), and of CD14+ T cells-specific expression of PD-L1 (t = 5.092 and 5.473, P less than 0.01 respectively). The CD3+ T cells-specific expression of PD-L1 was significantly higher in the samples from HBeAg- CHB patients than from the healthy controls (t = 3.214, P less than 0.01).

CONCLUSIONHBeAg was able to down-regulate the production of Th1-type cytokines (IFNgamma), and up-regulate the secretion of Th2-type cytokines (IL-6, IL-10) and the expression of PD-1/PD-L1on monocytes. These changes are conducive to the formation of immune tolerance to HBV. Therefore, HBeAg may play an important role in immune tolerance to chronic HBV infection.

Adult ; Case-Control Studies ; Cells, Cultured ; Female ; Hepatitis B e Antigens ; genetics ; immunology ; Hepatitis B, Chronic ; blood ; immunology ; Humans ; Interferon-gamma ; immunology ; Interleukin-10 ; immunology ; Interleukin-6 ; immunology ; Leukocytes, Mononuclear ; immunology ; metabolism ; Male ; Middle Aged ; Recombinant Proteins ; immunology ; Th1 Cells ; immunology ; Th1-Th2 Balance ; Th2 Cells ; immunology

OBJECTIVETo investigate the human mitochondrial DNA (mtDNA) variations associated with longevity in Bama elderly population from Guangxi.

METHODSMitochondrial genome of 20 individuals over 96 years of age was sequenced, and seven target single nucleotide polymorphism (SNPs) were observed by comparing with the standard rCRS sequence, and two were tested by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method in a larger population including 208 individuals of 90-113 years old, and 586 unrelated control individuals from Guangxi.

RESULTSThe 4824G frequency of the mtDNA4824A/G locus increased with age both in the long-lived elderly and in controls. And it was significantly higher in controls than that in long-lived population (P<0.05).

CONCLUSIONThe mtDNA4824 A/G is not only an age-related locus, its mutation is also negatively correlated with longevity.

Aged ; China ; ethnology ; DNA, Mitochondrial ; analysis ; genetics ; Genome, Mitochondrial ; genetics ; Haplotypes ; Humans ; Longevity ; genetics ; Mutation ; Myanmar ; ethnology ; Polymorphism, Genetic ; Polymorphism, Restriction Fragment Length ; Polymorphism, Single Nucleotide ; genetics ; Population Groups

Adult ; Aged ; Aged, 80 and over ; China ; epidemiology ; Female ; Hemorrhagic Fevers, Viral ; epidemiology ; Hospitalization ; Humans ; Male ; Middle Aged

Objective To observe the clinical efficacy of acupoint injection at Fenglong (ST 40) with Promethazine in treating posterior circulation ischemic vertigo (PCIV) due to turbid phlegm obstructing the middle.Method Sixty-two patients with PCIV due to turbid phlegm obstructing the middle were randomized into a treatment group and a control group, 31 cases each. The two groups both received intravenous infusion of Vinpocetine injection, based on which, the treatment group was intervened by injection at Fenglong (ST 40) with Promethazine, while the control group was given gluteal intramuscular injection of Promethazine. The traditional Chinese medicine (TCM) syndrome score and Dizziness Handicap Inventory (DHI) were observed for the two groups before and after the treatment, and the clinical efficacies were also compared.Result The TCM syndrome and DHI scores were significant changed after the intervention in both groups (P<0.05). After the treatment, the TCM syndrome and DHI scores in the treatment group were significantly different from those in the control group (P<0.05). The total effective rate was 93.5％ in the treatment group versus 80.6％ in the control group, and the between-group difference was statistically significant (P<0.05).Conclusion Injection at Fenglong (ST 40) with Promethazine is an effective method in treating PCIV due to turbid phlegm obstructing the middle.

With the advances in medicine, people have deeply understood the complex pathogenesis of diseases. Revealing the mechanism of action and therapeutic effect of drugs from an overall perspective has become the top priority of drug design. However, the traditional drug design methods cannot meet the current needs. In recent years, with the rapid development of systems biology, a variety of new technologies including metabolomics, genomics, and proteomics have been used in drug research and development. As a bridge between traditional pharmaceutical theory and modern science, computer-aided drug design(CADD) can shorten the drug development cycle and improve the success rate of drug design. The application of systems biology and CADD provides a methodological basis and direction for revealing the mechanism and action of drugs from an overall perspective. This paper introduces the research and application of systems biology in CADD from different perspectives and proposes the development direction, providing reference for promoting the application.
Humans ; Systems Biology ; Drug Design ; Drug Development ; Genomics ; Medicine

Chinese medicine (CM) diagnosis intellectualization is one of the hotspots in the research of CM modernization. The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues, however, it is difficult to solve the problems such as excessive or similar categories. With the development of natural language processing techniques, text generation technique has become increasingly mature. In this study, we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues. The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory (BILSTM) with Transformer as the backbone network. Meanwhile, the CM diagnosis generation model Knowledge Graph Enhanced Transformer (KGET) was established by introducing the knowledge in medical field to enhance the inferential capability. The KGET model was established based on 566 CM case texts, and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence (LSTM-seq2seq), Bidirectional and Auto-Regression Transformer (BART), and Chinese Pre-trained Unbalanced Transformer (CPT), so as to analyze the model manifestations. Finally, the ablation experiments were performed to explore the influence of the optimized part on the KGET model. The results of Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation 1 (ROUGE1), ROUGE2 and Edit distance of KGET model were 45.85, 73.93, 54.59 and 7.12, respectively in this study. Compared with LSTM-seq2seq, BART and CPT models, the KGET model was higher in BLEU, ROUGE1 and ROUGE2 by 6.00-17.09, 1.65-9.39 and 0.51-17.62, respectively, and lower in Edit distance by 0.47-3.21. The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance. Additionally, the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results. In conclusion, text generation technology can be effectively applied to CM diagnostic modeling. It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models. CM diagnostic text generation technology has broad application prospects in the future.
Humans ; Medicine, Chinese Traditional ; Pattern Recognition, Automated ; Asian People ; Language ; Learning

The pharmacological effects of Angelicae Sinensis Radix from different producing areas are uneven. Accurate identification of its producing areas by computer vision and machine learning(CVML) is conducive to evaluating the quality of Angelicae Sinensis Radix. This paper collected the high-definition images of Angelicae Sinensis Radix from different producing areas using a digital camera to construct an image database, followed by the extraction of texture features based on the grayscale relationship of adjacent pixels in the image. Then a support vector machine(SVM)-based prediction model for predicting the producing areas of Angelicae Sinensis Radix was built. The experimental results showed that the prediction accuracy reached up to 98.49% under the conditions of the model training set occupying 80%, the test set occupying 20%, and the sampling radius(r) of adjacent pixels being 2. When the training set was set to 10%, the prediction accuracy was still over 93%. Among the three producing areas of Angelicae Sinensis Radix, Huzhu county, Qinghai province exhibited the highest error rate, while Heqing county, Yunnan province the lowest error rate. Angelicae Sinensis Radix from Minxian county, Gansu province and Huzhu county, Qinghai province were both wrongly attributed to Heqing county, Yunnan province, while most of those from Huzhu county, Qinghai province were misjudged as the samples produced in Minxian county, Gansu province. The method designed in this paper enabled the rapid and non-destructive prediction of the producing areas of Angelicae Sinensis Radix, boasting high accuracy and strong stability. There were definite morphological differences between Angelicae Sinensis Radix samples from Minxian county, Gansu province and those from Huzhu county, Qinghai province. The wrongly predicted samples from Minxian county, Gansu province and Huzhu city, Qinghai province shared similar morphological characteristics with those from Heqing county, Yunnan province. Most wrongly predicted samples from Heqing county, Yunnan province were similar to the ones from Minxian county, Gansu province in morphological characteristics.
Angelica sinensis ; China ; Databases, Factual ; Drugs, Chinese Herbal/analysis* ; Plant Roots/chemistry*