Purpose:To investigate method of early detection of breast cancer with microcalcification observed by mammograph but without palpable mass clinlcally.Methods:Stereotatic core needle biopsy (SCNB) were performed in 35 patients with calcification observed by mammography,and 29 people received stereotatic needle localized breast biopsies (NLBB).All tissues were routinely processed.Microscopic analysis of calcification and morphologic analysis of calcifica- tion were done,as well as histologic diagnosis.Results:Among the 35 specimens of SCNB,microscopic calcification,in- traductal carcinoma and invasive ductal carcinoma were detected in 24,8,and 4 respectively.Calcification was identified in 25 of the 29 cases of NLBB.Five cases of intraductal carcinoma,six cases of invasive ductal carcinoma as well as one case of invasive lobular carcinoma were diagnosed in these 29 patients.Conclusions:With close cooperation among pathol- ogists,surgeons and radiologists,the application of SCNB and NLBB may benefit the early detection of breast cancer with microcalcification observed by mammograph but without mass being palpable clinically and finaly improve the survival of breast cancer patients.

Objective To investigate self-management status of the DM patients,and to confirm scientifically the importance of emphasising diabetes education in the DM patients.Methods With the questionnaire on self-management status & the possessed degree of DM knowledge and the method of consulting the medical records,697 DM patients were investigated.Results There were about 47.20% of patients who did not take glycemic examination in one year.Awareness rates for the standards of blood lipids and the HbA_1C were 6.5% and 5.5% respectively.And the awareness rates for nutrition treatment principle and scientific mode of physical exercise were 30.3% and 21.8%,respectively.The prevalence of The DM complications was the highest in the cadre(29.52%) and the lowest in the peasants(3.59%).Conclusion The investigation revealed the self-management is imperfect and the DM knowledge in DM patients is insufficient.It should be accentuated for patients to take health education of DM knowledge and improve their level of self-management.

CTB protein possessed mucosal adjuvant immunoactivity. The CTB gene was amplified by PCR method from a strain V. cholerae. The nucleotide sequence of CTB gene was 375 bp and shared 96.0%~99.2% homology with other 6 CTB genes. The recombinant plasmid pTWIN1-CTB transformed E. coli strain BL21(DE3) expressed with 0.8 mmol/L IPTG. The molecular weight of expression products was identical with expectative weight by SDS-PAGE electrophoresis. The CTB fusion proteins mainly assembled inclusion bodies and the outputs of proteins were approximately 20% of the total bacterial proteins. The CTB proteins possessed mucosal immunoactivity by GM1-ELISA assay.

Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis, partial least-square regression and BP neural network. The results showed that the fitting accuracy of the three methods was 92%, 95% and 98%, respectively. And the forecasting accuracy was 60%, 72.5% and 72.5%, respectively. The best forecasting accuracy for thermophilic proteins was 75%, and for mesophilic proteins was 85%. A mathematical model was established and the biological meaning of it was expatiated on, a new method to discriminate the thermophilic and mesophilic proteins based on their sequences was established here.
Amino Acids ; chemistry ; metabolism ; Discriminant Analysis ; Hot Temperature ; Least-Squares Analysis ; Models, Theoretical ; Neural Networks (Computer) ; Pattern Recognition, Automated ; Principal Component Analysis ; Proteins ; chemistry ; genetics

In this paper, a prediction model for amino acid composition and optimum pH of xylanase in G/11 family was established in terms of an artificial neural networks based on uniform design. Results showed that the calculated and predicted pHs fitted the optimum pHs of xylanase very well and the MAPEs (Mean mean Absolute Percent Error) were 3.02% and 4.06%, the MSEs (Mean Square Error) were 0.19 and 0.19 pH unit, the MAE (Mean Absolute Error) were 0.11 and 0.19 pH unit, respectively. It was better in fittings and predictions compared with the reported model based on stepwise regression.
Amino Acids ; chemistry ; Hydrogen-Ion Concentration ; Models, Chemical ; Neural Networks (Computer) ; Xylan Endo-1,3-beta-Xylosidase ; chemistry ; isolation & purification

Objective:To clone and express the Staphylococcus aureus Efb(extracellular fibrinogen-binding protein) protein in Escherichia coli, to purify the expression product and prepare its functional antibody and to detect the functions of Efb protein for further studies on S.aureus infection.Methods: Efb gene was amplified by PCR using S.aureus NCTC-8325 genome DNA as template and cloned into the recombinant expression vectors pET28a. E.coli BL21(DE3) with the plasmid was induced with IPTG for protein production. The protein was purified by Ni~(2+) affinity chromatography. The function of Efb protein was determined by complement activity assay and inhibition ELISA.The polyclonal antibodies were prepared by immunizing the animals. Results: The purified recombinant Efb was obtained, which could inhibit the CH50 and AH50 effectively. The functional poly-antibodies of Efb were prepared.Conclusion:Efb could inhibit the classical pathway and alternative pathway of complement activation, and the antibodies against to Efb could block the inhibition of the classical pathway of complement activation induced by Efb.

ObjectiveTo investigate the effect of simvastatin on severe complications and prognosis of subarachnoid heamorrhage (SAH).Methods98 cases with SAH were randomly divided into the treatment groups and control group (finally, there were 32 cases in treatment group, 48 cases in control group). Patients in treatment group were given simvastatin 20 mg/day, and those in control group were treated with routine therapy. The incidences of cerebral vasospasm, hydrocephalus, rebleeding and mortality between the two groups were compared.ResultsThe incidence of hydrocephalus of treatment group was 3.13%; that of control group was 18.7%, there was a significantly difference between two groups (P<0.05). There were no significant differences for incidences of cerebral vasospasm, rebleeding and mortality between two groups (P>0.05).ConclusionSimvastatin can reduce the occurrence of hydrocephalus after SAH.

Understanding the research methods for drug protein targets is crucial for the development of new drugs, clinical applications of drugs, drug mechanisms, and the pathogenesis of diseases. Cellular thermal shift assay (CETSA), a target research method without modification, has been widely used since its development. Now, there are various CETSA-based technology combinations, such as mass spectrometry-based cellular thermal shift assay (MS-CETSA), isothermal dose response-cellular thermal shift assay (ITDR-CETSA), amplified luminescent proximity homogeneous assay-cellular thermal shift assay (Alpha-CETSA), etc., which combine their respective advantages and further expand the application scope of CETSA. These technologies are suitable for the entire drug development chain, from drug screening to monitoring the target binding and off-target toxicity of drugs in patients. Based on the author's research experience, this paper reviews the principles of CETSA and related binding technologies, their application in target discovery, and the progress of data processing and analysis in recent years, aiming to provide reference and reference for the further application of CETSA.

In this work, the dipeptide composition of 3216 thermophilic and 4007 mesophilic protein sequences was systematically analyzed. We found that the thermophilic proteins contained more dipeptides such as EE, EK, KE, VE, EI, KI, EV, KK, VK and IE, whereas less dipeptides such as AA, LL, LA, AL, QA, QL, AQ, LT, TL and EQ. Based on this information, a statistical method for discriminating thermophilic and mesophilic proteins was developed. Our approach correctly picked up the thermophilic proteins with the accuracy of 94.0% and 89%, respectively, for the testing sets of 382 and 73 thermophilic proteins. And for the testing 325 and 73 mesophilic proteins, the accuracy was 85.2% and 89%, respectively. The influence of specific dipeptides on discrimination was also discussed.
Amino Acids ; chemistry ; Bacteria ; chemistry ; Bacterial Proteins ; chemistry ; Dipeptides ; chemistry ; Discriminant Analysis ; Hot Temperature ; Sequence Analysis, Protein ; Thermodynamics

In this paper, the Boosting-based decision tree ensemble classifiers were applied to discriminate thermophilic and mesophilic proteins. Three methods, namely, self-consistency test, 5-fold cross-validation and independent testing with other dataset, were used to evaluate the performance and robust of the models. Logitboost, as a novel classifier in Boosting algorithm, performed better than Adaboost. The overall accuracy of the three methods was 100%, 88.4% and 89.5%, respectively. It was demonstrated that LogitBoost performed comparably or even better than that of neural network, a very powerful classifier widely used in biological literatures. The influence of protein size on discrimination was addressed. It is anticipated that the power in predicting many bio-macromolecular attributes will be further strengthened if the Boosting and some other existing algorithms can be effectively complemented with each other.
Algorithms ; Decision Trees ; Molecular Weight ; Neural Networks (Computer) ; Proteins ; chemistry ; classification