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X Y Xue

Publications and source records attributed to X Y Xue.

9 recordsLinked to original sources

In vivo study on biocompatibility and bonding strength of hydroxyapatite-20vol%Ti composite with bone tissues in the rabbit.

Biocompatibility and bonding strength of hydroxyapatite-20vol%Ti composite fabricated by hot-pressing technique with bone tissues in the rabbit were investigated by in vivo studies in comparison with those of Ti metal and dense HA ceramic. Although fibrous tissues formed at the interface between the composite and bone tissues at 3 weeks in vivo, bonding strength of the composite increases faster than that of dense HA after 4 weeks. At 3 months in vivo, bonding strength of the composite is higher than that of dense HA and exceeds 6.5 MPa. Moreover, as compared with the visible bonding interfaces between dense HA and new bones, the bonding interfaces for the composite cannot already be distinguished and the composite was osseointegrated fully with bone tissues into one bony body. The shear fracture of bonding strength test for the composite occurred in new bone zones near the interface, which indicates that bonding strength of the composite could even exceed the shear strength of new bones after 3 months in vivo. In conclusion, HA-Ti composite has better osteoconduction and osseointegration abilities than Ti metal and dense HA ceramic after 3 months in vivo and is a promising biomaterial for hard tissue replacement.

Adhesiveness↗

Predicting gas chromatographic retention times of 209 polybrominated diphenyls (PBBs) for different temperature programs.

A method has been developed to predict the retention times of 209 individual polybrominated diphenyl congeners for different temperature programs. The retention equations lnk'=A+B/T of five PBBs in gas chromatography (GC) were used to evaluate the properties of the regression coefficients A and B, which are widely accepted as being highly reliable chromatographic retentions. The quantitative relationships between the A and B values of PCBs and those of PBBs were found. The regression equations derived have coefficients of determination greater than 0.999. The A, B values of any PBB can be predicted by using the A, B values of the PCB according to these relationships. Using these predicted A and B values, the retention times of all PBBs can be predicted. This is an important advance in the identification of PBBs because at present there are only a few PBB standards available.

Chromatography, Gas↗

Quantitative relationships between molecular structures, environmental temperatures and octanol-air partition coefficients of polychlorinated biphenyls.

A quantitative model that incorporates information on both environmental temperatures (T) and molecular structures, for logarithm of octanol-air partition coefficient to base 10 (logK(OA)) of polychlorinated biphenyls (PCBs) was developed. Partial least squares (PLS) analysis together with 16 theoretical molecular structural descriptors was used to develop the Quantitative relationships between structures, environmental temperatures and properties (QRSETP) model. The cross-validated Q(cum)(2) value for the optimal QRSETP model is 0.976, indicating a good predictive ability for logK(OA) of PCBs at different environmental temperatures. T, E(LUMO) (the energy of the lowest unoccupied molecular orbital), molecular size or average molecular polarizability (alpha), and the net atomic charges on chlorine, hydrogen and carbon atoms of PCB molecules, are major factors governing logK(OA). The lower the E(LUMO), the greater the intermolecular interactions between octanol and PCB molecules, and thus the greater the logK(OA) values. Because of intermolecular dispersive forces, the more chlorine atoms in PCB molecules, the greater the molecular size or alpha, the greater the logK(OA). The largest negative net atomic charge on a carbon atom (q(C)(-)) and molecular size or average molecular polarizability (alpha) are major factors governing temperature dependence of logK(OA). PCB molecules with low q(C)(-) values and more chlorines (big size or alpha) tend to have strong temperature dependence, due to intermolecular electrostatic interactions and dispersive forces, respectively.

Journal Article↗

Quantitative relationships between molecular structures, environmental temperatures and octanol-air partition coefficients of PCDD/Fs.

A concise quantitative model that incorporates information on both environmental temperature (T) and molecular structures, for logarithm of octanol-air partition coefficient (K(OA)) to base 10 (logK(OA)) of PCDDs, was developed. Partial least squares (PLS) analysis together with 14 quantum chemical descriptors were used to develop the quantitative relationships between structures, environmental temperatures and properties (QRSETP) model. It has been validated that the obtained QRSETP model can be used to predict logK(OA) of other PCDDs. Molecular size, environmental temperature (T), q+ (the most positive net atomic charge on hydrogen or chlorine atoms in PCDD molecules) and E(LUMO) (the energy of the lowest unoccupied molecular orbital) are main factors governing logK(OA) of PCDD/Fs under study. The intermolecular dispersive interactions and thus the size of the molecules play a leading role in governing logK(OA). The more chlorines in PCDD molecules, the greater the logK(OA) values. Increasing E(LUMO) values of the molecules leads to decreasing logK(OA) values, implying possible intermolecular interactions between the molecules under study and octanol molecules. Greater q+ values results in greater intermolecular electrostatic repulsive interactions between PCDD and octanol molecules and smaller logK(OA) values.

Journal Article↗

Computer-assisted automatic peak recognition and result evaluation for analysis of chlorinated hydrocarbons in environmental samples.

A data manipulation method has been developed for automatic peak recognition and result evaluation in the analysis of organic chlorinated hydrocarbons with dual-column gas chromatography. Based on the retention times of two internal standards, pentachlorotoluene and decachlorobiphenyl, the retention times of chlorinated hydrocarbons can be calibrated automatically and accurately. It is very convenient to identify the peaks by comparing the retention times of samples with the calibrated retention times calculated from the relative retention indices of standards. Meanwhile, with a suggested two-step evaluation method the evaluation coefficients and the suitable quantitative results of each component can be automatically achieved for practical samples in an analytical system using two columns with different polarities and two internal standards.

Automation↗

[Recognition and quantitative contrast characteristic components for root of Chinese angelica].

A method of multi-component quantitative analysis in root of Chinese Angelica has been developed. The analytical mode was reversed-phase HPLC with photodiode array detector. Based on comparison of UV spectra, a software of UV spectra database to assist recognition has been established. The solvent system, a gradient program of mobile phase with 2-propanol/acetonitrile/water can separate a lot of liposoluble components in root of Chinese Angelica. UV detection wavelength was set at 202 nm and the flow rate was 1 mL/min on a Hypersil ODS column. Twenty-three components in two roots of Chinese Angelica were recognized using characteristic parameters of chromatography and UV spectroscopy. It is the base of quantitative contrast to recognize many characteristic components without standard components in root of Chinese Angelica. For two samples of root of Chinese Angelica both have 23 characteristic components and the concentrations of some components were similar and those of others were different. The method is convenient and reproducible. It can be used for the quality control of the root of Chinese Angelica without the use of standards.

Angelica sinensis↗

[Application of the quantitation with curve-fitting method on chiral separation by high performance liquid chromatography].

We propose for the first time that curve-fitting method should be applied to the quantitation of overlapping peaks in chiral separation by high performance liquid chromatography (HPLC). We have examined the separation of eight isomers of cyfluthrin on a chiral stationary phase (CSP), and found that in comparing with the perpendicular-drop method, the accuracy of quantitation of overlapping peaks with curve-fitting was much higher. Generally, errors in peak area measurement using the perpendicular-drop method become larger as the degree of peak overlap increases. Meanwhile, by using curve-fitting method errors have no apparent difference for different degrees of peak overlap. Generally, for the same chiral compounds, although the resolutions are different with different mobile phase strength, the results of peak areas are the same by using curve-fitting method.

Chromatography, High Pressure Liquid↗

Cyclin-dependent kinase inhibitors block proliferation of human gastric cancer cells.

BACKGROUND: Olomoucine and roscovitine are novel compounds that are designed to inhibit cyclin-dependent kinases (e.g., Cdk2 and cdc2). Cdks regulate progression through key checkpoints of the cell cycle. The purpose of this study was to determine (1) whether olomoucine and roscovitine inhibit Cdk2 and cdc2 kinase activities of the human gastric cancer cell line SIIA and (2) whether olomoucine and roscovitine block cell proliferation and cell cycle progression. METHODS: SIIA cells were treated with olomoucine or roscovitine and examined for Cdk2 and cdc2 activities by using histone H1 as the substrate. Cell numbers were counted with a Coulter counter. Cell cycle distribution was analyzed by DNA flow cytometry. RESULTS: Olomoucine and roscovitine completely blocked Cdk2 and cdc2 activities in SIIA cells. Both compounds were also able to inhibit proliferation of SIIA cells, as well as three other human gastric cancer cell lines (AGS, MKN45-630, and SNU-1). Cell cycle analysis showed that treatment with olomoucine or roscovitine for 24 hours led to a decrease in the S phase population and an increase in the G2/M population. CONCLUSIONS: We have shown that Cdk inhibitors, olomoucine and roscovitine, are a new class of antineoplastic molecules with potential therapeutic benefits for gastric cancers.

Antineoplastic Agents↗

A novel strategy for inhibiting growth of human pancreatic cancer cells by blocking cyclin-dependent kinase activity.

Pancreatic cancers frequently carry mutations in the K-ras, p53, and p16 genes, which regulate cell proliferation. Transition from G1 to S phase of the cell cycle requires activation of cyclin-dependent kinase 2 (Cdk2) which is inhibited by olomoucine and roscovitine. The purpose of this study was to determine whether olomoucine and roscovitine can block Cdk2 kinase activity and inhibit proliferation of four human pancreatic cancer cell lines with various genetic alterations. Human pancreatic carcinoma cell lines BxPC-3, PANC-1 Capan-2, and CAV were treated with olomoucine or roscovitine. Cdk2 kinase activity was determined using histone H1 as the substrate. Cell cycle distribution was analyzed by DNA flow cytometry. Cell numbers were quantitated by Coulter counter. Olomoucine and roscovitine blocked Cdk2 activity in all four pancreatic cancer cell lines. Both compounds also inhibited cell proliferation in a dose-dependent fashion. Roscovitine was at least threefold more potent than olomoucine for both Cdk2 activity and cell proliferation. We have shown that Cdk inhibitors, olomoucine and roscovitine, block proliferation of human pancreatic cancer cells regardless of their mutations in K-ras p53, or p16 genes. These compounds represent a novel therapeutic strategy with potential therapeutic benefits for pancreatic cancers.

Adenocarcinoma↗