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ObjectiveTo investigate the protective effect of Zhizi prescription （ZZP） on carbon tetrachloride （CCl4）-induced acute and subacute liver injury and its mechanism. MethodAcute and subacute liver injury animal models were induced. C57 mice were randomly divided into a normal group， model group， obeccholic acid group， ZZP high-dose （0.5 g·kg-1） group， and ZZP low-dose （0.25 g·kg-1） group. According to the experiment design， the serum and liver tissue of mice were collected after the last administration. Hematoxylin-eosin （HE） and Sirius staining was used to observe the liver pathological changes. Serum alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bilirubin （TBIL）， liver homogenate hydroxyproline （Hyp）， malondialdehyde （MDA）， and superoxide dismutase （SOD） levels were determined by kit. The levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in the liver tissue were determined by enzyme-linked immunosorbent assay （ELISA）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expressions of collagen 1A1 （Col1a1）， collagen 3A1 （Col3a1）， fibronectin （FN）， transforming growth factor β receptor Ⅱ （Tgfbr2） and α-smooth muscle actin （α-SMA） in the liver tissue. ResultIn terms of the acute liver injury， as compared with the normal group， the levels of ALT， AST， TBIL and MDA in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. Compared with model group， the ZZP high-dose and low-dose groups both significantly reduced the degree of liver cell injury， and protected the acute liver injury induced by CCl4. The ZZP high-dose group had a better effect than the ZZP low-dose group. In terms of the subacute liver injury， the levels of ALT， AST， MDA，TNF-α and IL-6 in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. As compared with the model group， liver Hyp content in the ZZP high-dose and low-dose groups was significantly decreased （P<0.01）， and the collagen deposition in liver of both groups was significantly reduced. The ZZP high-dose group also significantly down-regulated the mRNA expressions of α-SMA， Col1a1， Col3a1， FN， and Tgfbr2 in the liver of mice （P<0.05， P<0.01）. ConclusionZZP effectively protects the acute and subacute liver injury induced by CCl4， and the protective effect is proportional to its concentration. The mechanism may be related to the increase of the activity of antioxidant enzymes in the liver tissue， the decrease of the level of lipid peroxidation， and the inhibition of inflammatory response， thus reducing collagen deposition and improving early liver fibrosis.
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ObjectiveTo investigate the protective effect of Zhizi prescription （ZZP） on carbon tetrachloride （CCl4）-induced acute and subacute liver injury and its mechanism. MethodAcute and subacute liver injury animal models were induced. C57 mice were randomly divided into a normal group， model group， obeccholic acid group， ZZP high-dose （0.5 g·kg-1） group， and ZZP low-dose （0.25 g·kg-1） group. According to the experiment design， the serum and liver tissue of mice were collected after the last administration. Hematoxylin-eosin （HE） and Sirius staining was used to observe the liver pathological changes. Serum alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bilirubin （TBIL）， liver homogenate hydroxyproline （Hyp）， malondialdehyde （MDA）， and superoxide dismutase （SOD） levels were determined by kit. The levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in the liver tissue were determined by enzyme-linked immunosorbent assay （ELISA）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expressions of collagen 1A1 （Col1a1）， collagen 3A1 （Col3a1）， fibronectin （FN）， transforming growth factor β receptor Ⅱ （Tgfbr2） and α-smooth muscle actin （α-SMA） in the liver tissue. ResultIn terms of the acute liver injury， as compared with the normal group， the levels of ALT， AST， TBIL and MDA in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. Compared with model group， the ZZP high-dose and low-dose groups both significantly reduced the degree of liver cell injury， and protected the acute liver injury induced by CCl4. The ZZP high-dose group had a better effect than the ZZP low-dose group. In terms of the subacute liver injury， the levels of ALT， AST， MDA，TNF-α and IL-6 in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. As compared with the model group， liver Hyp content in the ZZP high-dose and low-dose groups was significantly decreased （P<0.01）， and the collagen deposition in liver of both groups was significantly reduced. The ZZP high-dose group also significantly down-regulated the mRNA expressions of α-SMA， Col1a1， Col3a1， FN， and Tgfbr2 in the liver of mice （P<0.05， P<0.01）. ConclusionZZP effectively protects the acute and subacute liver injury induced by CCl4， and the protective effect is proportional to its concentration. The mechanism may be related to the increase of the activity of antioxidant enzymes in the liver tissue， the decrease of the level of lipid peroxidation， and the inhibition of inflammatory response， thus reducing collagen deposition and improving early liver fibrosis.
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Objective To study distribution rules of TCM syndrome characteristics of menopausal syndrome; To provide references for clinical treatment and further study.Methods The articles related to menopausal syndrome in CNKI, VIP, Wanfang Data, CBM and TCMDS during Jun. 1983 to Jun. 2013 were retrieved and analyzed. The original data were input into computer and established the menopausal syndrome literature database. Methods of cluster analysis, factor analysis, and frequency analysis were combined to conduct statistical analysis.Results A total of 270 articles and 730 patients were included in the analysis, including 42 syndromes and 73 symptoms. The four diagnostic information of top 9 syndromes was analyzed by clustering and 5 kinds of basic syndrome types were obtained, including liver and kidney yin deficiency, liver depression, heart-kidney disharmony, heart and spleen deficiency, and spleen and kidney yang deficiency; the core symptoms of each syndrome were extracted by factor analysis and frequency dominance method, and the main points of syndrome differentiations were initially established. Conclusion Three methods combined with relevant expert advice were used to initially establish the syndrome diagnosis of menopause syndrome, which can lay a solid foundation for further study.
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Objective To establish the optimum syndrome classification method by using the technology of modern TCM diagnosis and artificial intelligence analysis method for menopausal syndrome differentiation of TCM. Methods Diagnostic information of menopausal syndrome patients was collected and syndromes were classified according to TCM syndrome differentiation standard. Three kinds of common data mining classification algorithm, Bayesian network, K-nearest neighbors and support vector machine, were used for analysis on information data of the four methods of diagnosis of menopausal syndrome.Results The time, classification accuracy, coverage rate and margin curve of establishing TCM syndrome model by the three kinds of algorithm methods under the circumstances of same training and data. The influence of the number of training samples of 3 kinds of algorithm methods was analyzed, and the model established by the three kinds of algorithms was evaluated.Conclusion Bayesian network algorithm is better than the other two methods in the menopausal syndrome classification effect.
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This paper is aimed to observe the difference of facial color of people with different health status by spectral photometric color measuring technique according to the theory of facial color diagnosis in Internal Classic. We gathered the facial color information about the health status of persons in healthy group (183), sub-healthy group (287) and disease group (370) respectively. The information included L, a, b, C values and reflection of different wavelengths in 400-700nm with CM-2600D spectral photometric color measuring instrument on 8 points. The results indicated that overall complexion color values of the people in the three groups were significantly different. The persons in the disease group looked deep dark in features. The people in the sub-healthy group looked pale in features. The loci L, a, b, C values were with varying degrees of significant differences (P < 0.05) at 6 points among the groups, and the central position of the face in all the groups was the position with most significant differences. Comparing the facial color information at the same point of the people in the three groups, we obtained each group's diagnostic special point. There existed diagnostic values in distinguishing disease status and various status of health in some degree by spectral photometric color measuring technique. The present method provides a prosperous quantitative basis for Chinese medical inspection of the complexion diagnosis.
Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult , Color , Face , Health Status , Medicine, Chinese Traditional , Methods , Photography , Spectrophotometry , Spectrum AnalysisABSTRACT
To study the pulse diagram parameters of subjects with subhealth state and to find the pulse parameters for subhealth state evaluation.
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To observe the facial spectrum and color of different points, the positions of heart, liver, spleen, lung and kidney of traditional Chinese medicine reflecting on the face, in healthy participants and those with a sub-health status, so as to provide an objective basis for health evaluation.
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This paper presents a medical image acquisition and analysis method-TRM (Topology Resolve-Map) Model-under natural light condition indoors. Firstly, in accordance to medical image color characteristics, a colorful and grayscale color control patch was made for use as supervised color. "Topology Resolve-Map-Restoration" was carried on in LAB color space of the one-dimensional L* space and the two-dimensional a* b* space. Then, L* value was regulated by subsection regulation and a* b* value was regulated by triangulation topological cutting--close in on center of gravity method. After correction of the 198 color blocks in 22 pictures, the results showed that, by comparison with the standard value, the deltaL*, deltaC* and deltaE decreased significantly (P < 0.01) after correction by TRM. After correction, the difference in image's color is reduced, the color saturation is improved and the value is closer to true value. TRM model can significantly reduce the color difference of the medical image under natural light condition; it has a good effect on color correction.
Subject(s)
Humans , Artificial Intelligence , Calibration , Color , Reference Standards , Image Processing, Computer-Assisted , Methods , Pattern Recognition, Automated , Methods , Photography , MethodsABSTRACT
Inspection of the complexion is one of the characteristics of traditional Chinese medical diagnosis. Traditional Chinese medicine puts high emphasis on inspection of the complexion and there exists detailed discussion on inspection of facial expression in Neijing. The so-called inspection of facial expression is a method to diagnose diseases according to the theory of five Zang-organs matching five elements and five colors by distinguishing various changes of facial color, such as green, red, yellow, white and black based on yin and yang doctrine and five elements theory. Nowadays, more and more experts have introduced color optical theory and modern devices into the modern research field of traditional Chinese medical diagnosis with the development of color optical theory and the renewal of determining devices, such as digital camera, color differentiation meter and spectrophotometer, to make the research more scientific and objective and avoid the deviations caused by human factors. The modern study of traditional Chinese medicine diagnosis has made fare progress, consequently enriching the contents of its facial color observation and giving a more scientific explanation of it. However, the devices being used now are still disunited; the data may be unilateral and cannot contain the whole information. So the most important task is to invent and use scientific devices conforming better with the theory of five colors observation in traditional Chinese medicine.
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To establish an analytical method for tongue image acquisition under natural daylight based on L*a*b* error correction, and to observe the classification rules of tongue color using color error correction.
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OBJECTIVE: To establish a supplementary diagnostic indicator (infrared radiant intensity) in tongue diagnosis of traditional Chinese medicine (TCM) in patients with hyperplasia of mammary glands through correlation analysis of infrared radiant intensity between hyperplastic breast tissue and tongue surface. METHODS: Infrared radiant intensity of the hyperplastic breast tissue and different points on tongue surface in 20 cases of hyperplasia of mammary glands with liver-energy stagnation and phlegm retention syndrome and 16 cases of hyperplasia of mammary glands with irregular thoroughfare and conception vessels syndrome were measured with external infrared spectrometer PHE-201 made by Shanghai Institute of Technical Physics. Correlation of infrared radiant intensity between the hyperplastic breast tissue and the different points on tongue surface was assessed by using bivariate correlation analysis. RESULTS: The results showed that the numbers of positive correlated wave bands of infrared radiant intensity between the hyperplastic breast tissue and different detected points on tongue surface in the patients with liver-energy stagnation and phlegm retention syndrome and irregular thoroughfare and conception vessels syndrome were 127 (83.55%) and 71 (46.71%), respectively. Infrared radiant intensity between the hyperplastic breast tissue and the tongue surface had a positive correlation. CONCLUSION: Infrared radiant intensity can be used as one of supplementary diagnostic indicators in TCM tongue diagnosis of hyperplasia of mammary glands.
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OBJECTIVE: To evaluate the therapeutic effects of Chinese materia medica in treating patients with different syndromes by tongue image analysis software 1.0 based on tongue colors, and to discuss the feasibility of applying this computer science-based techniques into drug evaluation. METHODS: The tongue colors and the areas of tongue fur were examined and analyzed by the tongue image analysis software 1.0 in healthy persons and the patients with different syndromes before and after treatment. The parameters of tongue colors consisted of the followings: the hue (H), the lightness (L), the saturation (S), and the values of red (R), green (G) and blue (B). RESULTS: Obvious differences could be revealed in tongue color index between the healthy persons and the patients in five groups of different syndromes. There also existed some significant differences in those index between patients before and after treatment. CONCLUSION: The tongue image analysis software 1.0 based on tongue colors is helpful to evaluate the therapeutic effects of Chinese materia medica.
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Glossoscopy is one of the essential part of four diagnostic methods of TCM, and objectification of tongue inspection is an important component of the TCM modernization, image collecting and analyzing technology is its major means. In the research of tongue image, extraction of the body of tongue, the segmentation of body and fur of tongue are important procedure in the recognition of tongue image. In recent years, the information study of tongue inspection has been profound gradually with the development of technology of image analysis. This paper discusses research status of extraction of the body of tongue, the segmentation of body and fur of tongue.
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Objective To extract the specific symptoms of TCM syndromes of chronic fatigue (CF). Methods Epidemiological cluster sampling method was used in this trial. Totally 782 cases of CF patients were selected from universities,secondary schools,primary schools and hospitals of southern Fujian province. The subjects filled in "Scale of Clinical Symptoms of Chronic Fatigue" to record the clinical data of symptoms,tongue,and pulse for the diagnosis of specific TCM symptoms. The random forest (RF) method was adopted to encode the 95 symptoms extracted from the above-mentioned scale to select the main symptoms of common syndromes of CF and to measure the contribution of symptoms to the syndromes. Results Symptom groups of 4 syndromes of CF were achieved. Spleen deficiency syndrome:abdominal distention after eating or in afternoon,loss of appetite,sallow completion,loose stools,and emaciation; Heart deficiency syndrome:palpitation,chest fullness,thready pulse,insomnia or dream-disturbed sleep,and forgetfulness; Liver stagnation syndrome:hot temper or depression,sighing,bitter taste,dry throat,and string-taut pulse; Qi deficiency syndrome:swollen tongue with toothprints,shortness of breath,abrupt breathing,inactive talking,and spontaneous sweating. When the symptoms were inputted to the models,the model prediction accuracy was 96.13%,94.75%,95.89%,and 94.26% respectively. Conclusion The RF method has a good classification function on the syndromes of CF. Spleen deficiency syndrome,heart deficiency syndrome,liver stagnation syndrome,and qi deficiency syndrome are commonly appeared syndromes,each of them is provided with its own specific symptoms.