Objective To evaluate the diagnostic accuracy of diffusion tensor imaging (DTI) of corticospinal tract in amyotrophic lateral sclerosis (ALS) and find optimal testing strategies and optimal cutoff values of DTI indices for individual patient discrimination.Methods Thirty-three ALS patients and 34 healthy controls,collected at Peking Union Medical College Hospital from June 2004 through July 2005,undergoing brain DTI studies and fractional anisotropy (FA) examinations along the corticospinal tract,were analyzed by receiver operating characteristic (ROC) curves.Results Compared with the controls,ALS group had significantly decreased FA values in subcortical white matter of the precentral gyrus,the posterior limb of the internal capsule and the cerebral peduncle.In ROC analysis,the average FA value of the former two positions showed the best performance with an area under the curve of 0.917,an optimal cut-off value of 0.604,a sensitivity of 0.759 and a specificity of 0.912.The corresponding data for the average FA of all the three positions and each single position were listed as follows:average of three 0.914,0.648,0.759,0.912; precentral gyrus 0.875,0.509,0.733,0.824; internal capsule 0.845,0.692,0.656,0.941 ; and cerebral peduncle 0.752,0.742,0.656,0.735.Conclusions FA values of the corticospinal tract have a good accuracy in detecting upper motor neuron involvement in ALS.Precentral gyrus and posterior limb of the internal capsule and the average FA values of these two positions were suggested as the preferred testing places and DTI indices for clinical use.

Objective To investigate the diffusion tensor imaging(DTI)and magnetic resonance spectroscopy(MRS)changes in amyotrophic lateral sclerosis(ALS)and to study on the physiopathology of ALS.Methods Thirty-eight AIS patients,8 patients with pure lower motor neuron involvement and 5 patients with mixed-type cervical spondylosis and 34 healthy controls were enrolled and examined with the conventional brain MRI,DTI and 1H-MRS.Results T2-weighted and T2 FLAIR images revealed abnormal high signals in bilateral pyramidal tract positions in 21%(8/38)of ALS patients,which was higher than that in the coaex When compared with the control group,the values of FA in the precentral gyms(0.492±0.059 vs 0.552±0.045,F=17.150,P<0.01),the posterior limb of the internal capsule(0.679±0.048 vs 0.727 4-0.031.F=19.481.P<0.01)and the cerebral peduncle(1eft:0.740 4-0.038 vs 0.761 4±0.024.F=4.290;right:0.720 ±0.044 vs 0.746 ±0.034,F=3.264,both P<0.01)of the ALS group were decreased significantly.so were the values of NAA/Cr.And the FA reduction rate was 10.9%,6.6% and 2.8%-3.5% respectively.There was also a significant decrease in FA in the anterior limb of the internal capsule and the occipital lobe in the ALS group.Conclusion Not only does the application of DTI and MRS help to demonstrate upper motor neuron involvement in the brain and facilitate the diagnosis and differential diagnosis of ALS,but also increases the understanding of the lesion distribution and physiopathology in ALS.

Adult ; Bone Marrow Transplantation ; Fractures, Ununited ; therapy ; Humans ; Male ; Transplantation, Autologous

In order to improve the efficiency of drug screening on serotonin transporter (SERT) inhibitors, a high-throughput screening (HTS) model is established in RBL-2H3 cells. The RBL-2H3 cells are very similar to the serotonin genetic neuro, in modulation of post-receptor mechanisms and transduction pathway of SERT reactivated. Depending on a fluorescence substrate ASP+ used in detection method of inhibitor rates, it's convenient, quick, accurate and effective, not making the environmental biohazard compared with radioactive experiments. Furthermore, biological screening model combined with computer aided virtual screening technique describing high-throughput virtual screening (HTVS). Bayesian classification method and molecular fingerprint similarity were applied to virtual screening technique, for screening compounds in compound library. Some compounds have been found, and then validated further by biological screening model. Combination of HTS and HTVS improves the efficiency of screening SERT inhibitors.
Animals ; Bayes Theorem ; Cell Line ; Drug Evaluation, Preclinical ; High-Throughput Screening Assays ; Models, Biological ; Rats ; Serotonin Plasma Membrane Transport Proteins ; metabolism ; Serotonin Uptake Inhibitors ; pharmacology

By means of comparing biomasses of biodegradation fungi,Fusarium sp.HG-P-01 for ?-cypermethrin,a synthetic pyrethroid insecticide used widely in China,in five different media,the Czapek-Dox medium was selected as the best medium for mycelia growth.Furthermore,an experiment of central composite rotatable design(CCRD) was used to optimize the content of nutrient components.The optimal composition of C,N and P in media for HG-P-01 were 20.94 g/L,1.82 g/L and 1.66 g/L,respec-tively,in which an expectant or real rate of ?-cypermethrin-degradation got to 96.34% or 93.78% by HPLC for a concentration of 50 mg/L after 24 h treatment.The predicted value in degradation rate model was con-sistent with that from HPLC method.

Objective To investigate the diagnostic value of texture analysis derived from conventional MR imaging in differentiating benign and malignant breast lesions. Methods Thirty-six patients with malignant breast lesion and 33 patients with benign breast lesion were retrospectively analyzed in our study. All patients underwent conventional MR imaging including axial T1WI, T2WI, and contrast-enhanced T1WI before surgery. Texture features were calculated from manually drawn ROIs by using MaZda software. The feature selection methods included mutual information (MI), Fishers coefficient, classification error probability combined with average correlation coefficients (POE + ACC) and the combination of the above three methods(FPM). These methods were used to identify the most significant texture features in discriminating benign breast lesion from malignant breast lesion. The statistical methods including raw data analysis (RDA), principal component analysis (PCA), linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA) were used to distinguish malignant breast lesion from benign breast lesion. The results were shown by misclassification rate. Results In the three kinds of sequences, the texture features for differentiating malignant breast lesion and benign breast lesion were mainly from T2WI which had the lowest misclassification rate 4.35%(3/69). The misclassification rates of the feature selection methods were similar in MI, Fisher coefficient and POE+ACC (15.94%to 56.52%for MI;17.39%to 56.52%for Fisher coefficient and 17.39%to 56.52%for POE+ACC). However, the misclassification rate of the combination of the three methods (4.35%to 53.62%for FPM) was lower than that of any other kind of method. In the statistical methods, NDA (4.35% to 27.54%) had lower misclassification rate than RDA (33.33% to 56.52%), PCA (33.33% to 53.62%) and LDA (15.94% to 44.93%). Conclusion Texture analysis of conventional MR imaging can provide reliably objective basis for differentiating benign from malignant breast lesions.

OBJECTIVETo study the therapeutic effects of posterolateral depression fractures of the tibial plateau through a modified anterolateral approach.

METHODSFrom February 2011 to January 2012,13 patients with posterolateral depression fractures of the tibial plateau were treated through a modified anterolateral approach. There were 8 males and 5 females, ranging in age from 28 to 59 years old (49.2 years old on average). Data from patients were collected retrospectively as follows: X-ray, time of fracture healing and the complications of fracture healing. The patients were evaluated both clinically and radiologically according to the Rasmussen score system.

RESULTSAll the patients were followed up, and the duration ranged from 6 to 18 months (mean 13.7 months). All the patients got bony union. The average radiographic bony union time was 15.1 weeks (ranged, 11 to 17 weeks). No case of secondary articular depression was found. No complications such as malunion or joint stiffness were found. But 1 patient had superficial infection and 1 patient had common peroneal nerve injury. According to the Rasmussen score system,the mean radiological score was 16.50 ± 0.67 (ranged, 13 to 18), and the mean functional score was 25.20 ± 2.21 (ranged, 13 to 30). The mean range of knee motion was (125.3 ± 9.3)° (ranged, 0° to 135°).

CONCLUSIONTreatment of depression fractures of posterolateral tibial plateau with a modified anterolateral approach is a safe method with effective exposure, due to its stable fixation and relatively good outcome with minimal soft-tissue complications. It is regarded as an ideal procedure for depression fractures of posterolateral tibial plateau.

Adult ; Female ; Fracture Fixation, Internal ; methods ; Fracture Healing ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Tibial Fractures ; surgery

The emerging of network pharmacology and polypharmacology forces the scientists to recognize and explore new mechanisms of existing drugs. The drug target prediction can play a key significance on the elucidation of the molecular mechanism of drugs and drug reposition. In this paper, we systematically review the existing approaches to the prediction of biological targets of small molecule based on chemoinformatics, including ligand-based prediction, receptor-based prediction and data mining-based prediction. We also depict the strength of these methods as well as their applications, and put forward their developing direction.
Computational Biology ; Data Mining ; Drug Delivery Systems ; Drug Design ; Ligands

OBJECTIVETo study the influence of Jiangzhining decoction on the genetic expression of Liver LDLR of the rats suffered from hyperlipemia.

METHODLaboratory animals were male wister rats with hyperlipemia resulting from high fat feeding. Prescription was the douche of stomach with Jiangzhining decoction (200%) with a dosage of 1.4 g.kg-1, for 15 successive days. Total RNA was extracted from the liver tissue of treated rats and LDLRmRNA was detected by Dot blot hybridization. Expression levels of LDLRmRNA was estimated by a ratio of LDLRmRNA and beta-actin mRNA.

RESULTThe difference between expression levels of LDLRmRNA for normal group and those for hyperlipemia group (100% +/- 19% vs 39% +/- 14%) was significant (P < 0.05); and the difference between decoction group (108 +/- 8%) and hyperlipimia group was also highly significant (P < 0.01).

CONCLUSIONHigh fat feeding reduces the expression of liver LDLRmRNA while the decoction can greatly increase it. The study and development of Jiangzhining are significant in preventing and curing cadiocerebral diseases.

Actins ; biosynthesis ; genetics ; Animals ; Drug Combinations ; Drugs, Chinese Herbal ; administration & dosage ; pharmacology ; Hyperglycemia ; metabolism ; Hypoglycemic Agents ; administration & dosage ; pharmacology ; Liver ; metabolism ; Male ; RNA, Messenger ; genetics ; Rats ; Rats, Wistar ; Receptors, LDL ; biosynthesis ; genetics

Influenza caused by influenza virus,seriously threaten human life and health.Drug treatment is one of the effective measurement. However, there are only two classes of drugs, one class is M2 blockers and another is neuraminidase (NA)inhibitors. The recent antiviral surveillance studies reported a global significant increase in M2 blocker resistance among influenza viruses, and the resistant virus strains against NA inhibitor are also reported in clinical treatment.Therefore thediscovery of new medicines with low resistance has become very urgent.As all known,traditional medicines with multi-target features and network mechanism often possess low resistance. Compound Yizhihao, which consists of radix isatidis,folium isatidis,Artemisia rupestris,is one of the famous traditional medicine for influenza treatment in China, however its mechanism of action against influenza is unclear. In this study, the multiple targets related with influenza disease and the known chemical constituents from Compound Yizhihao were collected, and multi-target QSAR (mt-QSAR) classification models were developed by Na?ve Bayesian algorithm and verified by various datasets. Then the classification models were applied to predict the effective constituents and their drug targets.Finally,the constituent-target-pathway network was constructed,which revealed the effective constituents and their network mechanism in Compound Yizhihao. This study will lay important basis for the clinical uses for influenza treatment and for the further research and development of the effective constituents.