3.Relationship between polarity variation of epithelium and breast cancer.
Jin XIE ; Yi-ling YANG ; Ya-qing LI ; Li FU
Chinese Journal of Pathology 2013;42(3):212-214
Breast Neoplasms
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metabolism
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pathology
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Cell Polarity
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Epithelial Cells
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metabolism
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pathology
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Epithelial-Mesenchymal Transition
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Eye Proteins
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metabolism
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Female
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Humans
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Membrane Proteins
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metabolism
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Nerve Tissue Proteins
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metabolism
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Receptors, Proteinase-Activated
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metabolism
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Tumor Suppressor Proteins
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metabolism
4.Development,Reliability and Validity of Child-Neglect Scale
shi-chang, YANG ; ya-lin, ZHANG ; ai-ling, DU
Journal of Applied Clinical Pediatrics 2006;0(16):-
Objective To develop a child neglect scale with Chinese culture background to assess the status of the neglected children in China,and examine the reliability and validity of the child-neglect scale(CNS).Methods Considering the cultural background of China,an item pool was established by revising items in correlative literatures and scales.Then,the first draft of the CNS was improved by reserving the effective items well graded by professional experts.A total of 871 students from 2 junior high schools and a vocational and technical college were involved in the study.Those students were surveyed with Parental Rearing Patterns scale and child neglect scale.Exploratory and confirmatory factor analysis were applied to the development and evaluation of the structure of the scale.Results The findings were as follows:the general Cronbach′s Alpha reliability was 0.85,the split-half reliability was 0.81,the test-retest reliability was 0.90. The CNS was made of the 4 sub-scales which was safe neglect scale,physical neglect scale,communion neglect scale and affection neglect scale.the general Cronbach′s Alpha reliability of the child neglect scale was 0.79-0.85,the split-half reliability was 0.64-0.81,and the test-retest reliability was 0.82-0.90.The item loadings of the neglect scale were over 0.30.The confirmatory factor analysis indicated that the ratio of Chi-square to degrees of freedom were 1.766,the goodness of fit index was 0.917,the Tucker-Lewis index was 0.916,and the root mean square error of approximation was 0.047.Criterion-related validity studies indicated that the scores of the CNS were significantly correlated with the rearing patterns as well(r=0.049,-0.465 P
5.Development, Reliability and Validity of Child-Neglect Scale
Shi-chang, YANG ; Ya-lin, ZHANG ; Ai-ling, DU
Journal of Applied Clinical Pediatrics 2009;24(16):1293-1296
reliability, content validity, construct validity, and criterion - related validity of the CNS are entirely in accordance with the psychometric demands.
6.Effects of erythropoietin on neural cells in rats after ischemia/reperfusion injury.
Yan-ling YANG ; Wen-xia ZHU ; Ya-hui CHEN ; Mei-ni CHEN
Chinese Journal of Applied Physiology 2010;26(2):152-153
Animals
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Brain Edema
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prevention & control
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Brain Ischemia
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physiopathology
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Erythropoietin
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pharmacology
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Female
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Hippocampus
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metabolism
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pathology
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Male
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Nitric Oxide
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metabolism
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Protective Agents
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pharmacology
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Rats
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Rats, Sprague-Dawley
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Reperfusion Injury
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prevention & control
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Superoxide Dismutase
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metabolism
9.Screening for potential biomarkers of traditional Chinese medicinechest impediment syndromesbased on plasma metabonomics
Li-Yun XU ; Xiao-Ya LUO ; Xiao-Ling SHEN ; Yu-Yang YOU ; Zhi-Hong YANG
Chinese Journal of Pharmacology and Toxicology 2018;32(4):319-319
OBJECTIVE To have a systematic pathomechanism view of three chest impediment-syndromes of Qi Deficiency and Blood Stasis syndrome(QDBS),Qi Stagnation and Blood Stasis syn-drome (QSBS), Cold Obstruction and Qi Stagnation syndrome(COQS) and further investigate the changed metabolome and related pathways for screening potential biomarkers in rat plasma. METHODS According to clinical pathogeny, three kinds of syndrome models were established to simulate the disease of chest impediment. Plasma metabonomics based on UPLC-Q-TOF/MS was applied in this research to detected small molecule metabolites for identifyingthe special potential biomarkers of three chest impediment syndromes, respectively. RESULTS Significant metabolic differences were observed between thecontrol group and three syndrome groups. Furthermore, three syndrome groups were distinguished clearly by pattern recognition method.The particular metabolites contributing most to the classification of three chest impediment syndromes were identified. In the QSBS group, the potential biomarkers could include 2-keto-glutaramic acid, L-methionine, L-homocysteic acid, octadecanamide, stearoylglycine,behenic acid,linoleylcarnitine,lysoPC(14:1(9Z)),indoxyl sulfate and cholic acid.In the COQS group, they could be aminoadipic acid, palmitic amide, oleamide, lysoPC(P-16:0), lysoPC(P-18:0), lysoPC(20:2(11Z,14Z)), 9-HETE and tauroursodeoxycholic acid. Moreover, 4-pyridoxic acid, L-palmi-toylcarnitine, lysoPC(20:0), lysoPC (22:5 (4Z,7Z,10Z,13Z,16Z)), 3- hydroxyhexadecanoic acid and arachidonic acid could be the potential biomarkers for the QDBS group. CONCLUSION Three chest impediment syndromes have their own potential biomarkers.Each special metabolite has its owndifferent metabolic pathway.Both metabolismof cysteine and methionine,and metabolism of alanine,aspartate and glutamate are the main pathways in regulation of metabolic disorders in QSBS syndrome. Lysine biosynthesis and degradation,fatty acid metabolism,and glycerophospholipid metabolism are the main pathways in regulation of metabolic disorders in COQS syndrome.Arachidonic acid metabolism, fatty acid metabolism,fatty acid elongation in mitochondria,and vitamin B6 metabolism are the main pathways in regulation of metabolic disorders in QDBS syndrome.These endogenous substances were indicated as the special potential biomarkers for three chest impediment syndromes and worth studying in depth.
10.Comparison of color and translucency between resin and try-in paste with same number.
Ming-ming XU ; Feng ZHANG ; Feng LIU ; Ya-dong YANG ; Ling-ya GU
Chinese Journal of Stomatology 2010;45(12):759-762
OBJECTIVETo test and compare the color and translucency between the mono-component light-cure adhesive resin and try-in paste with same number for porcelain veneer restorations, and evaluate the consistency of the materials.
METHODSVariolink Veneer and Relyx Veneer were involved in the study. The adhesive resins and try-in pastes were added into a model of diameter of 10 mm and thick of 2 mm with white background and covered with filtered cover glass, and then the resins was cured with light. The color (L(*), a(*), b(*)) of these samples was test and ΔE was also calculated to evaluate the color consistency of samples. The resins and try-in pastes were made into a thin layer of 0.15 mm, and their translucency was tested under the light from 380 µm to 780 µm. Average translucency was calculated. Tukey t-test for multiple comparisons was used to analysis the differences of ΔE. Paired t-test was used to analysis the differences of translucency of them.
RESULTSTukey's t-test shows that the evaluation of ΔE of TR (1.11 ± 0.18) was a; those of LV-1 (6.38 ± 0.45), LV-2 (5.94 ± 0.19), A1 (7.54 ± 0.20), WO (4.24 ± 1.14) were b; those of HV + 2 (10.90 ± 0.41), HV + 1 (11.48 ± 0.17), LV-3 (10.69 ± 0.13), B0.5 (13.26 ± 0.21) were c; and those of HV + 3 (21.94 ± 0.21), MV0 (29.78 ± 0.14), A3 (32.67 ± 0.19) were d (a, b, c, d meaned that the consistency of resin and try-in paste became lower and lower). There were significant differences between resin and tray-in paste in 7 colors (A1, TR, HV + 3, HV + 2, HV + 1, LV-2, LV-3) of 12 colors (P < 0.01).
CONCLUSIONSThe consistency of color and translucency between most adhesive resin and try-in paste with same number is low. This kind of materials should be used with caution in demanding cases.
Color ; Composite Resins ; Dental Materials ; Light ; Ointments ; Resin Cements