Objective To study the clinical manifestation,diagnosis and treatment of the renal myxofibromata.Methods Combined with reviewing the relevant literature,we retrospectively analyzed the clinical data of a case of renal myxofibromata.A 47-year-old female patient was found left renal cystic lesion by ultrasound 8 months before admission.CT showed a 4 cm cystic and solid lesions in the lower pole of left kidney,which was similar to the results of ultrasound.The enhanced abdominal CT and dynamic contrast-enhanced ultrasound showed that the lesions could be enhanced slowly with uneven density.The patient underwent left kidney exploration under the general anaesthesia.During operation,a round solid mass about 5 cm in diameter can been seen in the low part of renal sinus,which was a bit hard.The mass was close with surrounding tissue.Then,the left kidney was excised.Results The surface of the mass was full and smooth with pale yellow luster.In the HE section,the tumor was composed with fibroma like cell,which demonstrated the inhomogeneous size,shape and irregular organization.The nucleus showed the spindle shape,with rare mitosis phase.Large quantity of mucus and vascular tissue could be observed in the tumor.Few fibroblast cells could also be found in the section.The pathological result was myxofibromata (immature) with malignant tendency.No special treatment was given after surgery.Recurrence was not recorded within 6 months following-up.Conclusions Commonly,the myxofibromata is a kind of benign tumor.Only a few can result in the malignant transformation and distant metastasis.Primary renal myxofibromata is extremely rare.The preoperative imagine manifestation is difficult to provide the accurate diagnosis.Pathologic result is the gold standard in diagnosing this disease.Actively surgical treatment and regular following-up after surgery should be considered.

We purified a novel mannose binding lectin form Musca domestica pupae by affinity chromatography on Con A-Sepharose 4B and DEAE weak anion-exchange chromatography. By SDS-PAGE, MBL-1 yielded a single band with the molecular weight of 24 kDa. It was a glycoprotein detected by periodic acid-schiffs staining reaction, with 97.36% protein and 2.1% oligosaccharide. Meanwhile, the results of beta-elimination reaction, infrared spectroscopy, atomic force microscopy and protein sequencing instrument show that MBL-1 was an ellipsoidal-shaped monomer with 60-100 nm in diameter. N-glycoside bond linked oligosaccharide chain and the N-terminal blocked peptide chain. Further study suggested that MBL-1 promote the proliferation of macrophage in a concentration-dependent manner. The scanning electron microscope analysis shows that MBL-1 promoted the activation of macrophages. These results show that MBL-1 purified from Musca domestica pupae possesses immune regulation effect, serving a reference basis to develop natural immune-modulator.
Animals ; Glycoproteins ; analysis ; Houseflies ; chemistry ; Immunomodulation ; immunology ; physiology ; Macrophages ; immunology ; Mannose-Binding Lectin ; chemistry ; physiology ; Oligosaccharides ; analysis ; Pupa ; chemistry

Diagnosis of Parkinson's disease (PD) based on speech data has been proved to be an effective way in recent years. However, current researches just care about the feature extraction and classifier design, and do not consider the instance selection. Former research by authors showed that the instance selection can lead to improvement on classification accuracy. However, no attention is paid on the relationship between speech sample and feature until now. Therefore, a new diagnosis algorithm of PD is proposed in this paper by simultaneously selecting speech sample and feature based on relevant feature weighting algorithm and multiple kernel method, so as to find their synergy effects, thereby improving classification accuracy. Experimental results showed that this proposed algorithm obtained apparent improvement on classification accuracy. It can obtain mean classification accuracy of 82.5%, which was 30.5% higher than the relevant algorithm. Besides, the proposed algorithm detected the synergy effects of speech sample and feature, which is valuable for speech marker extraction.