Data Collection ; methods ; Metabolomics ; methods

OBJECTIVETo analyze medication laws of Chinese medicine (CM) treatment in hypertension patients with yin deficiency yang hyperactivity syndrome.

METHODSChina National Knowledge Infrastructure (CNKI, Jan. 1979-Dec 2014), Chinese Scientific Journals Database (VIP, Jan 1989-Dec2014), Chinese Biomedical Literature Database (CBM, Jan.1978-Dec.2014), Wanfang Database (Jan 1990-Dec 2014) were retrieved by using "hypertension", "CM", "Chinese herbs", "syndrome" as keywords. Totally 149 literatures concerning CM treatment for hypertension patients with yin deficiency yanghyperactivity syndrome were included in this study. The herbs database was established by SPSS20.0,and correlation laws were analyzed by SAS9.3. With the Pajek3.1, results were presented visually withcomplex networks.

RESULTSThere were 149 literatures including 131 kinds of herbs with 1,598 frequencies. The conventional compatibility program of herbs for asthenic yin and predominant yang syndrome of hypertension were two toothed achyranthes root, tall gastrodia rhizome, Cassia obtusifolia L., eucommiabark, baikal skullcap root, and so on, about 29 kinds. Of them, core herbs were two toothed achyranthes root, tall gastrodia rhizome, Cassia obtusifolia L., poria, prepared rhizome of rehmannia, oriental water-plantain tuber, asiatic cornelian cherry fruit, Uncariae Rhynchophylla, common yam rhizome, the rootbark of the peony tree, and so on.

CONCLUSIONMedication laws of CM treatment in hypertension patientswith yin deficiency yang hyperactivity syndrome obtained by analysis of complex networks reflected thetherapeutics of nourishing yin to suppress yang, which could further provide reference for clinical studies.

Asian Continental Ancestry Group ; China ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Hypertension ; therapy ; Medicine, Chinese Traditional ; Yin Deficiency ; therapy ; Yin-Yang

OBJECTIVETo evaluate the reliability, validity, and responsiveness of traditional Chinese medicine (TCM) clinical outcomes rating scale for heart failure (HF) based on patients' report.

METHODSTCM clinical outcomes rating scale for HF (TCM-HF-PRO) were evaluated based on 340 HF patients' report from multiple centers. The completion of the investigation was recorded. Cronbach's α coefficient and split-half reliability were used for reliability analysis, and factor analysis was used to assess the construct validity of the rating scale. Pearson correlation analysis was then used for criterion validity analysis. Discriminant analysis was used to assess the responsiveness of the scale. All 340 HF patients having complete TCM-HF-PRO data were assigned to the treatment group and the control group by central randomization. The total TCM-HF-PRO scores of the two groups were compared using paired t-test to reflect the longitude responsiveness of the scale before treatment and at week 2 after treatment.

RESULTS(1) The recycling rate of the scale was 100.0%. One of them was not filled completely, which was rejected thereby. So the completion rate was 99.7%. The completion time for TCM-HF-PRO scale ranged 15 to 25 min. (2) The Cronbach's α coefficient of rating scale was 0.903, split-half reliability was 0.844 and 0.849. (3) Confirmatory factor analysis showed that 7 factors and items formed according to maximum load factor basically coincided with the construct of the rating scale, 7 factors accumulated contribution rate was 43.8%. TCM clinical outcomes rating scale for HF based on patients' report was relatively better correlated with the Minnesota living with HF questionnaire (r = 0.726, P < 0.01). (4) Discriminant analysis showed that the rating scale correctly classified more than 78.8% of case studies having confirmed initial differential diagnosis by experts. The total scale of the rating scale decreased more in the two group after treatment, with significant difference as compared with before treatment (P < 0.01.

CONCLUSIONTCM clinical outcomes rating scale for HF based on patients' report had good reliability, validity and responsiveness, hence it could be used to assess clinical efficacy for HF patients.

Diagnosis, Differential ; Discriminant Analysis ; Factor Analysis, Statistical ; Heart Failure ; diagnosis ; Humans ; Medicine, Chinese Traditional ; methods ; standards ; Reproducibility of Results ; Surveys and Questionnaires

Objective To evaluate the b value of diffusion-weighted(DW)MRI in distinguishing between benign and malignant breast lesions.Methods Three diffusion-weighted sequences were implemented with 500,1000 and 2000 s/mm~2 b values respectively on 95 breast lesions in 83 patients.All lesions were confirmed by pathology.The apparent diffusion coefficient(ADC)values and signal intensity (SI)were recorded and compared in different lesions(breast cancer,benign lesion,cyst and normal beast tissue)with the same b value and the same lesions with the different b values.Results(1)The mean ADC value and SI of breast cancer were 1.375?0.378 and 839.713?360.493 respectively with b= 500 s/mm~2,1.176?0.311 and 459.314?229.609 with b=1000 s/mm~2,0.824?0.198 and 243.825? 110.616 with b=2000 s/mm~2.The differences in the mean ADC value were significant between two type lesions(cancer and benign lesion,cancer and cyst,cancer and normal breast tissue)with b values of 500 s/mm~2 and 1000 s/mm~2.But the significant differenee was only seen between cancer and benign lesions when b value was 2000 s/mm~2.(2)The one-side upper limits of 95% confidence interval of mean ADCs were adopted as the point to separate the malignant from the benign lesions,the sensitivity was 70.92%, 70.73% and 69.77%,the specificity was 77.19%,75.70% and 54.76%,the accuracy was 77.12%, 74.32% and 62.35% respectively with b values of 500 s/mm~2,1000 s/mm~2 and 2000 s/mm~2.The areas under ROC eurves were Az_(500)=0.775?0.046(P0.05).Conclusion DWI MRI is useful for the differential diagnosis of breast lesions with b values of 500 s/mm~2 and 1000 s/mm~2.

Objective To investigate the feasibility of determining the breast cancer extension with diffusion-weighted imaging(DWI)and the apparent diffusion coefficient(ADC).Methods Fifty-nine lesions(57 patients)were studied by using DWI and ADC measurement before surgical excision.The cancer extension was investigated on ADC maps with different b values(b=500 and 1000 s?mm~(-2))according to the threshold values discussed before.The lesion extension on dynamic enhanced images and on DWI was used for comparison.The tumor extension was determined by calculating two lines.Line one:the maximum diameter of lesion.Line two:perpendicular line crossing the midpoint of line one.All measurement was compared with the pathologic specimen.Results(1)There were 48 invasive ductal carcinomas,6 ductal carcinomas in situ with small invasive foci,3 mucinous carcinomas,and 2 medullary carcinomas.(2)The low ADC value on ADC maps at b=500 and 1000 s?mm~(-2)was described as cancer extension.The measurement results were compared to pathologic figures and the pattern of correlation was categorized into 3 groups:Group 1,the area of low ADC values was almost the same as the pathological tumor extension; Group 2(overdiagnosis),the area of low ADC values was wider and more than 20% larger than the area of tumor extension;Group 3(false negative),no area of low ADC value was observed.There were no significant difference between DWI with b of 500 and b of 1000 s?mm~(-2)(X~2=0.160,P=0.689;X~2= 0.172,P=0.679)in Groups 1 and Group 3.There were 2 lesions in Group 2,which were consistent in DWI with b of 500 and b of 1000 s?mm~(-2).There were 14 misdiagnosed lesions,including overdiagnosis in 2 lesions and false negative in 12 lesions.Eight lesions measured at DWI with b of 500 and b of 1000 s? mm~(-2)were not consistent.Five lesions were diagnosed correctly at DWI with b of 500 s?mm~(-2),three of them were duetal carcinomas in situ with small invasive foci.(3)The extension of lesion on dynamic enhanced imaging was measured at 4 minutes after enhancement,and was compared with the extension measured at the same slice on DWI map.Pathologic figures were regarded as the gold standard.The extension of 47 lesions(80%)on enhanced images accorded with DWI.The abnormal area on DWI,which was consistent with pathologic figures,was wider than the area on enhanced images in 8 lesions.Of them,3 lesions were mucinous carcinomas and 5 lesions were grade 3 invasive ductal carcinomas.Conclusion DWI and ADC value have the potential in evaluating the cancer extension.The accuracy of extension measured on DWI map was better than that on dynamic enhanced images for some kinds of breast cancers.

Medium- and long-chain triglyceride (MCT/LCT) propofol is widely used as an intravenous anesthetic, especially in the intensive care unit. The present study aimed to assess whether MCT/LCT propofol is safe in the hyperlipidemic population for long-term use. Free fatty acids (FFAs) were used to establish high-fat stimulation of HepG2 and Huh7 cells. Subsequently, these cells were treated with propofol at the concentration of 0, 4, or 8 µg/ml for 24 and 48 h. The results indicated that the cell viability was notably decreased when the cells were stimulated with 2 mmol/L FFAs and treated with 12 µg/ml MCT/LCT propofol. Accordingly, we chose 2 mmol/L FFAs along with 4 and 8 µg/ml MCT/LCT propofol for the subsequent experiments. Four and 8 µg/ml MCT/LCT propofol inhibited FFA-induced lipid accumulation in the cells and significantly reversed acetyl coenzyme A carboxylase (ACC) activity. In addition, MCT/LCT propofol not only significantly promoted the phosphorylation of AMPK and ACC, but also reversed the FFA-induced decreased phosphorylation of AMPK and ACC. In conclusion, MCT/LCT propofol reverses the negative effects caused by FFAs in HepG2 and Huh7 cells, indicating that MCT/LCT propofol might positively regulate lipid metabolism.
Acetyl-CoA Carboxylase ; AMP-Activated Protein Kinases ; Cell Survival ; Fatty Acids, Nonesterified ; Hepatocytes ; Intensive Care Units ; Lipid Metabolism ; Liver ; Metabolism ; Phosphorylation ; Propofol ; Triglycerides

OBJECTIVETo carry out expert survey for traditional Chinese medicine (TCM) syndrome characteristics of different clinical types of coronary artery disease (CAD).

METHODSBy using Delphi method, we carried out two rounds of nationwide expert surveys for modern TCM characteristics of syndrome elements and syndrome types of CAD.

RESULTSBased on expert consensus, qi deficiency, blood stasis, phlegm turbidity, qi deficiency blood stasis, and intermingled phlegm and blood stasis are common TCM syndromes for different clinical types of CAD. Of them, qi stagnation, blood stasis, phlegm turbidity, heat accumulation, cold coagulation, yang deficiency, deficiency of both qi and yang were more often seen in patients with unstable angina than in those with stable angina. Qi deficiency, yin deficiency, and deficiency of both qi and yin were less seen. We could see more excess syndrome and less deficiency syndrome (such as qi deficiency, yin deficiency, etc.) in acute ST-segment elevation myocardial infarction (STEMI) than acute non-ST-segment elevation myocardial infarction (NSTEMI). Qi deficiency, blood stasis, water retention, yang deficiency, phlegm turbidity, yin deficiency, Xin-qi deficiency, and qi deficiency blood stasis induced water retention are the most common TCM syndrome types of CAD heart failure (HF). Blood deficiency, yin deficiency, heat accumulation, deficiency of both Xin and Pi, deficiency of both qi and blood, deficiency of both qi and yin, yin deficiency and fire hyperactivity were more often seen in CAD arrhythmias.

CONCLUSIONSTCM syndrome distributions of different clinical types of CAD have common laws and individual characteristics. Results based on the expert consensus supplied evidence and support for clinical diagnosis and treatment of CAD.

Angina Pectoris ; Angina, Unstable ; China ; Coronary Artery Disease ; diagnosis ; therapy ; Coronary Disease ; diagnosis ; Data Collection ; Heart Failure ; diagnosis ; Humans ; Medicine, Chinese Traditional ; methods ; Qi ; Syndrome ; Yang Deficiency ; diagnosis ; Yin Deficiency ; diagnosis

The clinical effect evaluation of Chinese medicine (CM) has been the bottleneck restricting its development. Based on the current situation, in this study, we integrated and combined previous results of clinical effect evaluation of CM, and proposed the clinical effect evaluation method of CM based on combination of disease and syndrome, systematic staging, and multi-dimension index. We also made a specific exposition on the connotation, establishment methods and practice of the clinical effect evaluation methods of CM based on combination of disease and syndrome, systematic staging, and multi-dimension index.
Humans ; Medicine, Chinese Traditional ; methods ; Outcome Assessment (Health Care) ; methods

Objective To retrospectively assess diagnostic accuracy of magnetic resonance imaging (MRI)in preoperative assessment of local extent of breast ductal carcinoma in situ(DCIS)and DCIS with small invasive foci,compared with the mammography and ultrasonography(US)imagings.Methods Results of MRI,mammography,and US imaging from 17 consecutive women with known breast DCIS and DCIS with invasive foci were analyzed,and then compared with pathologic examination.Results(1) Fourteen lesions showed enhancement on dynamic breast MRI,of which 11 lesions were no-mass-like enhancement.Six of 11 lesions appeared segmental enhancement,and 2 were regional enhancement.Ductal and multiple focal areas enhancement were 1 case respectively.Symmetric diffuse enhancement in bilateral breast was showed in 1 patient.Ductal dilation was visible in ipsilateral breast on pre-contrast MRI in 2 cases,which manifested bloody nipple discharge in clinical examination,and duct enhanced on post- contrast imaging in one of them.Two lesions appeared mass enhancement with irregular shape and homogeneous signal.Linear enhancement surrounding the oval homogeneous mass with smooth margin found in 1 case.(2)Thirteen of 17 patients underwent bilateral mammography.There were various findings in mammograms,including microcalcifications(6 cases),normal mammograms(2 cases),calcifications with other appearance(2 cases),and non-calcification abnormity(3 cases).In 8 lesions with calcifications, 5 were noted higher probability of malignancy calcifications and 3 intermediate concern calcifications. Calcifications distributed clustered(5 cases),regional(2 cases)and diffuse(1 case)shape.(3)Sixteen of 17 patients were performed breast US examination.Eleven lesions,which were correct diagnosed, appeared higher echo spots within irregular lower echo area.One lesion diagnosed benign and 4 were negative on US examination.(4)Regarded the size measured on pathologic examination as golden standard, accordance of lesion extent was 13 of 17 case in MRI,7 of 13 in mammography,and 7 of 16 in US.There were 2 lesions overestimation of extent in MRI,3 in mammography,and 2 in US.Underestimation of extent showed 1 case and 3 cases in mammography and US imaging respectively.The difference was not significant (P = 0.161).Conclusion The MR imaging features of DCIS and DCIS with small invasive loci were characteristic.The combination of MRI and mammography could improve diagnostic accuracy.

Objective:To construct and verify a prognostic model based on Necroptosis genes(NEGs)in liver cancer.Methods:Through unsupervised clustering analysis in liver cancer patients from TCGA and ICGC databases,67 NEGs were grouped into two clusters.The differ-ences in prognosis between clusters were explored.Prognosis-related genes were selected through single-factor Cox regression analysis.A prognostic model was built using clustering analy-sis and multi-factor Cox regression,and the model's accuracy and predictive ability were validated.Results:The 67 NEGs were divided into two subtypes,namely NEGclusterA and NEGclusterB.Survival analysis indicated a better prognosis for patients in B compared to A(P＜0.05).Single-factor Cox analysis identified 133 prognosis-related genes,further classified into genecluster A and genecluster B,the prognosis of A was better than B(P＜0.001).Three genes(SLC1A5,MYBL2,and CFHR3)were determined to construct the prognostic risk scoring model.In both TCGA training and validation cohorts,patients in the high-risk group exhibited poorer prognosis(P＜0.05).Conclu-sion:This predictive model can independently forecast the prognosis of liver cancer and provides initial insights into the differences in immune cell infiltration among different liver cancer clusters.