Objective To clone and identify the heat shock factors(HSFs)of Schistosoma japonicum and analyze its molec?ular structure and alternative splicing pattern. Methods The New Zealand rabbits were infected with the cercariae of Schistoso?ma japonicum and were killed and dissected 42 days post?infection,and the adult worms of S. japonicum and the livers of the rabbits were harvested. Then,the total RNA was extracted by using Trizol reagent. The Sj?hsf open reading frame(ORF)and the alternative splicing fragments were amplified by RT?PCR from the female,male and egg samples,then cloned and verified by enzyme digestion and sequencing. DNAMAN 8.0,InterPro,Mega 6 combined with the Internet databases were utilized to clarify the gene structure,functional domains,alternative splicing pattern,and the homology and phylogenetic tree of HSFs. Re?sults Sj?hsf ORF and the alternative splicing fragments were amplified from the female,male and egg samples of S. japonicum by RT?PCR. After cloning,the positive recombinant plasmids pBSjHSFf?F,pBSjHSFf?M,pBSjHSFf?E containing Sj?hsf ORF, pBSjHSFs?F,pBSjHSFs?M,pBSjHSFs?E with Sj?hsf alternative splicing fragments were identified by enzyme digestion and se?quencing. Three alternative splicing Sj?hsf isoforms were observed through sequence analysis:Sj?hsf?isoform1(2 050 bp),Sj?hsf ?isoform2(2 086 bp)and Sj?hsf?isoform3(2 111 bp);the GenBank accession numbers were KU954546,KX119143 and KX119144,respectively. All the three isoforms located in the same Contig SJC_S000780 of S. japonicum genome and all ex?pressed at female,male and egg stages,but Sj?hsf?isoform1 with a high?level expression. Sj?HSF?isoform1(671 aa)and Sj?HSF?isoform2(683 aa)had DBD(DNA binding domain),HR?A/B and HR?C domains,while Sj?HSF?isoform3(282 aa)stopped in advance without HR?C domain. Phylogenetic tree analysis of HSFs illustrated that Sj?HSFs belonged to HSF1 family,with a close phylogenetic relationship to Sm?HSFs. Conclusions There are three alternative splicing isoforms of Sj?HSF existing in the female,male and egg stages of S. japonicum,but Sj?HSF?isoform1 expresses in a high?level. This study lays the foundation for further study on molecular mechanisms of Sj?HSFs in regulating the heat shock response system.

Objective:To analyze the brain functional fluctuation of benign epilepsy in children with central-temporal spikes(BECTS) by using ReHo algorithm based on the resting-state brain functional imaging, and to explore the connection of the brain function and changes of the connection pattern, so as to find the damage of the cognitive function of BECTS children in the early stage.Method:s Perspectiveness and simple random selection of 20 BECTS children and 20 healthy control children admitted to Shenzhen Children′s Hospital from January 2015 to December 2017 were conducted for basic information collection and functional magnetic resonance imaging (fMRI) testing in a resting-state.Result:s Significantly lower ReHo value appeared in the default mode network (DMN) area, and the precuneus (voxel=422, t=-5.085 6), cuneus (voxel=85, t=-4.240 3), angular gyrus (voxel=191, t=-4.681 2), cingulate cortex (voxel=313, t=-5.238 2), anterior central gyrus (voxel=12, t=-3.482 7), and supplementary motor area (voxel=1 356, t-6.596 2). The significantly increased ReHo was found in the bilateral cerebellum (voxel=71, t=5.658 2), right superior temporal gyrus (voxel=24, t= 5.184 0), operculum insulae (voxel=337, t=6.814 9), left parietal lobe (voxel=12, t=4.378 7), and inferior parietal lobule (voxel=11, t=3.433 7). Conclusions:Significant impairment of DMN, Wernicke and angular gyrus functions in BECTS children may be one of the mechanisms of cognitive dysfunction.Enhanced sensorimotor area and cortical brain functions near the operculum insulae and central sulcus lead to seizures with typical clinical symptoms.fMRI has a high specificity and sensitivity for evaluating the brain function of children with BECTS, and it can detect the impairment of cognitive function in children with this type of epilepsy at an early stage.

OBJECTIVETo examine the expression profile and immunofluorescence localization of the major egg antigen p40 of Schistosoma japonicum (Sjp40) during granuloma formation in the liver of infected New Zealand white rabbits.

METHODSNew Zealand white rabbits were infected with S. japonicum cercariae, and the livers were harvested at 29 and 45 days post-infection (dpi). The total RNA of the liver tissues was extracted for expression profiling of Sjp40 by quantitative reverse transcription-PCR (qRT-PCR) with GAPDH of S. japonicum as the endogenous reference gene. The expression of Sjp40 in the liver were detected by Western blotting using anti-Sjp40 monoclonal antibody (mAb) 9G7 or anti-Toxoplasma gondii tSAG1 mAb Y3A8 (control) as the primary antibody. Paraffin sections of the liver were prepared for observing egg granuloma formation using HE staining and for indirect immunofluorescence assay of Sjp40 location in the trapped eggs and egg granulomas.

RESULTSThe level of Sjp40 mRNA in the eggs trapped in rabbit livers was significantly higher at 45 dpi than that at 29 dpi (P<0.05), and Western blotting confirmed the presence of Sjp40 protein in the rabbit livers at both 29 and 45 dpi. Immunofluorescence assay demonstrated localized expression of Sjp40 in the immature eggs in the rabbit liver at 29 dpi, but at 45 dpi fluorescence was detected in clusters of mature eggs containing miracidium and in the surrounding egg granulomas.

CONCLUSIONSThe transcriptional levels of Sjp40 significantly increased with the maturation of eggs trapped in the rabbit livers. Sjp40 protein spread from the eggs to the surrounding egg granuloma at 45 dpi when acute liver granulomatous lesions occur, suggesting that Sjp40 plays a key role in egg granulomas formation in the livers of infected New Zealand white rabbits.

Animals ; Antibodies, Monoclonal ; Antigens, Helminth ; metabolism ; Fluorescent Antibody Technique ; Gene Expression Profiling ; Granuloma ; parasitology ; Helminth Proteins ; metabolism ; Liver ; parasitology ; RNA, Messenger ; Rabbits ; Schistosoma japonicum ; Schistosomiasis japonica

Charcoal-processed traditional Chinese herbal medicine has various therapeutic effects， including astringing， hemostasis， anti-diarrhea， clearing heat， tonifying， and warming the interior. This paper summarizes the clinical application features， compatible experiences， dosages， and precautions for over 20 types of charcoal-processed herbal medicine in the treatment of gynecological bleeding disorders caused by dysfunctions such as dysfunctional uterine bleeding， endometriosis， uterine incision pseudocavity， and vaginal bleeding resulting from threatened miscarriage. The charcoal-processed herbal medicine include Huangqin （Scutellaria Baicalensis） Charcoal， Dahuang （Rheum Palmatum） Charcoal， Cebai （Platycladus Orientalis） Charcoal， Diyu （Sanguisorba Officinalis） Charcoal， Daji （Cirsium Setosum） Charcoal， Xiaoji （Cirsium Japonicum） Charcoal， Shengdi （Rehmannia Glutinosa） Charcoal， Aiye （Artemisia Argyi） Charcoal， Paojiang （Zingiber Officinale） Charcoal， Xuduan （Dipsacus Asper） Charcoal， Duzhong （Eucommia Ulmoides） Charcoal， Qiancao （Rubia Cordifolia） Charcoal， Puhuang （Typha Angustifolia） Charcoal， Shanzha （Crataegus Pinnatifida） Charcoal， Jingjie （Schizonepeta Tenuifolia） Charcoal， Xueyu （Carthamus Tinctorius） Charcoal， Zonglyu （Areca Catechu） Charcoal， Wumei （Prunus Mume） Charcoal， Shudahuang （Rheum Officinale） Charcoal， Lianfang （Nymphaea Alba） Charcoal， Mianmaguanzhong （Clematis Armandii） Charcoal， and Oujie （Nelumbo Nucifera） Charcoal.

To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retrospectively from 2012 to 2017. Forty one imaging features were extracted from each subjects based on 2-dimension magnetic resonance T1 weighted imaging with contrast-enhancement. An artificial neural network model was created and optimized according to the performance of feature selection. The training dataset was randomly selected half of the whole dataset, and the other half dataset was used to verify the performance of the neural network for glioma grading. The training-verification process was repeated for 100 times and the performance was averaged.
 Results: A total of 5 imaging features were selected as the ultimate input features for the neural network. The mean accuracy of the neural network for glioma grading was 90.32%, with a mean sensitivity at 87.86% and a mean specificity at 92.49%. The area under the curve of receiver operating characteristic curve was 0.9486.
 Conclusion: As a technique of artificial intelligence, neural network can reach a relatively high accuracy for the grading of glioma and provide a non-invasive and promising computer-aided diagnostic process for the pre-operative grading of glioma.
Brain Neoplasms ; diagnostic imaging ; pathology ; Glioma ; diagnostic imaging ; pathology ; Humans ; Magnetic Resonance Imaging ; Neoplasm Grading ; Neural Networks, Computer ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity