Comparative Diagnosis Test Accuracy of Five Weighting Methods for Type 2 Diabetes Mellitus with Dampness-heat Syndrome / 中医杂志

ObjectiveTo compare the diagnostic accuracy of five different weighting methods of Chinese medicine syndrome and then analyze their diagnostic efficacy and characteristics， by taking Diagnostic Standard for Type 2 Diabetes Mellitus （T2DM） with Dampeness-heat Syndrome （abbreviated as diagnostic standard） as an example. MethodsData from expert questionnaire on the diagnostic standard and a cross-sectional survey of 1021 patients were collected. The comparative diagnostic test accuracy （CDTA） method was used to calculate the area under the ROC curve （AUC）， area under the PR curve （AUPR）， accuracy （ACC）， sensitivity， and specificity of five commonly used weighting methods in two categories， including knowledge-driven weighting methods （expert scoring synthesis method， analytic hierarchy process， and precedence chart method） and data-driven weighting methods （logistic regression contribution method and entropy weighting method）. ResultsAmong 1021 patients with T2DM， 389 cases were diagnosed as dampness-heat syndrome. The expert scoring synthesis method， analytic hierarchy process method， and precedence chart method were basically consistent in the weight scores of each item. The expert scoring comprehensive method， analytic hierarchy process method， and entropy weighting method have a smaller difference in the weight scores of each item， while there was larger difference in the weight scores of each item of the precedence chart method and the logistic regression contribution method. The AUC （95% CI）， AUPR， ACC， sensitivity， and specifi-city of the expert scoring synthesis method were 0.913 （0.893， 0.932）， 0.851， 0.870， 0.868 and 0.875， respectively； while those of the analytic hierarchy process method were 0.910 （0.890， 0.930）， 0.838， 0.879， 0.848 and 0.896； of the precedence chart method were 0.919 （0.900， 0.937）， 0.858， 0.875， 0.871 and 0.875； of the logistic regression contribution method were 0.867 （0.842， 0.891）， 0.792， 0.853， 0.769 and 0.898； and of the entropy weighting method were 0.895 （0.873， 0.916）， 0.820， 0.869， 0.802 and 0.908. ConclusionThe knowledge-driven weighting methods are better than the data-driven weighting methods in terms of diagnostic efficacy and reflecting expert experience.

An integrated fecal microbiome and metabolome in the aged mice reveal anti-aging effects from the intestines and biochemical mechanism of FuFang zhenshu TiaoZhi(FTZ).

BACKGROUND/AIMS: Fufang Zhenzhu Tiao Zhi (FTZ) capsule is a Chinese herbal preparation under the guidance of professor Guo Jiao's new theory of "Tiaogan Qishu Huazhuo" for disorders of glucose and lipid metabolism for more than twenty yares, which has been demonstrated to exhibit potential anti-aging effects such as regulation of glucose and lipid metabolisms and antiinflammatory and antioxidative effects. This study attempts to reveal the anti-intestinal aging effect and possible mechanism of FTZ. METHODS: The mice were divided into three groups: the control group, model group and treatment group. The treatment group was given 1.0 g/kg body weight of FTZ extract administered by oral gavage once a day for 12 consecutive weeks. Age-related alterations such as HE staining of intestinal tissue morphology, mRNA levels of intestinal telomerase and inflammatory cytokines were observed Fecal samples were used for ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing analyses to reveal age-related metabolic perturbations and gut flora disorders to demonstrate the effects of FTZ. RESULTS: Emerged pathological morphology of intestinal tissues, upregulated relative expression level of gut inflammatory factors and decreased relative expression level of telomerase mRNA in aging mice illustrated characteristic senescent phenotypes in model group. FTZ treatment significantly lowered intestinal inflammation levels, enhanced telomerase activity, partially reversed the fecal metabolites abnormalities and restored the disorders of intestinal flora. Multiple potential metabolites were associated with linoleic acid, glycerophospholipid, α-linolenic acid, biosynthesis of unsaturated fatty acids and glycerolipid metabolisms. Several decreased beneficial butyrate-producing bacteria like S24-7, possible Alkaliphilus belonging to the Clostridia class and increased harmful bacteria such as potentially toxic metabolite hydrogen sulfide-producer Bilophila and Desulfovibrio, inflammation-mediator Mucispirillum were determined in present aging mice. These age-related poor alterations could be partially attenuated by FTZ treatment. CONCLUSION: The pathologic changes of intestinal senescence and the decrease of telomerase mRNA in elderly mice was observed. FTZ may sever as a novel delaying intestinal aging strategy via three pathways for anti-inflammatory, improving gut metabolites and gut flora. This study not only provided biological basis for the theory of treating different diseases with the same treatment in TCM, but also provided objective evidence for incorporating aging into the system of"glucose-lipid metabolism disease".

UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia.

Hyperlipidemia is a common disease caused by abnormal plasma lipid metabolism. Lipidomics is a powerful and efficient technology to study the integration of disease and syndrome of Chinese medicine. This study investigated specific changes in lipid metabolites from hyperlipidemia patients with syndrome of liver qi-stagnation and spleen-deficiency (SLQSD). Lipid profiles in plasma samples from 29 hyperlipidemia patients including 10 SLQSD and 19 non-SLQSD and 26 healthy volunteers (NC) were tested by UPLC-QTOF/MS. PLS-DA analysis and database searching were performed to discover differentiating metabolites. Differences in lipid metabolites between hyperlipidemia and healthy people mainly include phosphatidylcholines, phosphatidylethanolamines, phosphatidylglycerols, and ceramides. Hyperlipidemia patients with SLQSD and non-SLQSD could be differentiated by using identified lipid metabolites including phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, triglycerides, diacylglycerols, lysophosphatidylethanolamines, sphingomyelins, lysophosphatidylcholines, and lactosylceramides. There were significant differences of lipid metabolism between between different syndromes of the same disease such as hyperlipidemia which showed significant differences between SLQSD and non-SLQSD.

Study on HPLC Fingerprint and Pattern Recognition Method of Citri Sarcodactylis Fructus from Different Origins / 世界科学技术-中医药现代化

This study was aimed to establish fingerprints of Citri Sarcodactylis Fructus from different geographical origins,and to use the method of pattern recognition to compare the differences of Citri Sarcodactylis Fructus from different habitats.In this study,high performance liquid chromatography (HPLC) was used to establish fingerprints for 25 batches of Citri Sarcodactylis Fructus from 4 habitats.Furthermore,similarity evaluation,cluster analysis (CA) and principal component analysis (PCA) were performed.The results from established fingerprints showed that a total of 26 common peaks were pointed out and 4 peaks were identified as the common peaks.The CA and PCA can be used to compare Citri Sarcodactylis Fructus from different habitats.It was concluded that Cirri Sarcodactylis Fructus in near geographic origins had a higher similarity,while the different geographic origins had a higher difference.

Study of Traditional Chinese Medicine Diagnostic Aid Platform for Hyperlipemia Based on Adaptive Clustering Algorithm / 世界科学技术-中医药现代化

Hyperlipidemia is one of the main basic lesions of blood vessels and organ diseases. Traditional Chinese medicine (TCM) has been used in the prevention and treatment of hyperlipidemia with advantages such as little drug side effects and obvious efficacy. The establishment of hyperlipidemia diagnostic aid platform helped to improve treatment efficiency, and provide a platform for data acquisition, storage and analysis for research on hyperlipidemia syndrome standardization. At first, a collection system was implemented, which was consisted of tongue image and the text information of the other three diagnostic methods, for doctor's accurate mastering of patient's clinical manifesta-tions and improvement of therapeutic effect. Through this platform, a clustering algorithm was applied to analyze clin-ical information of four diagnostic methods among 897 hyperlipemia cases, which had been classified into 5 cate-gories. Compare disease characteristics of samples in every category with syndromes category and find out the rela-tionships between them, by which the foundation of hyperlipemia syndrome differentiation standardization will be es-tablish. It provided suggestions on TCM syndrome differentiation and diagnosis.