BACKGROUND:Red light irradiation and silver ion dressing are mostly used to treat chronic difficult healing wounds clinically,but the optimal irradiation time of red light irradiation and silver ion dressing for chronic non-healing wounds,and the combination of different silver ion dressings have not been determined. OBJECTIVE:To investigate the optimal irradiation time and dressing combination of red light and silver ion dressing in the therapy of chronic non-healing wounds. METHODS:The chronic non-healing wound model was made by applying Staphylococcus aureus on the whole skin defect and subcutaneous hydrocortisone injection in SD rats.72 rat models were randomly divided into 4 groups with 18 rats in each group by random number table method.The rats were treated on the basis of standard dressing change and the following therapy:A1B1 group(red irradiation 20 minutes + lipid hydrocolloidal silver sulfate dressing),A1B2 group(red light irradiation 20 minutes + calcium alginate fiber dressing),A2B1 group(red light irradiation 30 minutes + lipid hydrocolloidal silver sulfate dressing),and A2B2 group(red light irradiation 30 minutes + calcium alginate fiber dressing);change dressing,irradiate once,and change dressing every 24 hours.After 14 days of continuous treatment,wound healing rate,bacterial colony number,inflammatory response,histomorphology and angiogenesis were detected in each group. RESULTS AND CONCLUSION:(1)With the extension of treatment time,the wound healing rate of rats in the four groups was increased,and the wound healing rate of rats in the A2B2 group at 3,7,and 14 days after treatment was higher than that in the other three groups(P<0.05).(2)The wound bacterial culture results on day 7 after treatment demonstrated that the number of bacterial colonies in the A2B2 group was lower than that in the other three groups(P<0.05).Western blot assay exhibited that with the extension of treatment time,the protein expressions of tumor necrosis factor α and interleukin-6 in wound tissue of rats in the four groups were decreased,while the protein expressions of interleukin-10 were increased.The protein expressions of tumor necrosis factor α and interleukin-6 in the A2B2 group were lower than those in the other three groups(P<0.05).The protein expression of interleukin-10 in the A2B2 group was higher than that of the other three groups(P<0.05).(3)The wound hematoxylin-eosin staining on day 14 after treatment demonstrated that a large number of collagen fibers in the A2B2 group were parallel distributed and the most closely connected,which was significantly better than the other three groups.(4)The results of immunofluorescence staining indicated that the fluorescence intensity expression of CD31 in the A2B2 group was higher than that in the A1B1,A1B2 and A2B1 groups(P<0.05).q-PCR detection at 3,7,and 14 days after treatment exhibited that the mRNA expressions of vascular endothelial growth factor a and vascular endothelial growth factor receptor 2 in the A2B2 group were higher than those in the other three groups(P<0.05).Western blot assay at 3,7 and 14 days after treatment revealed that the protein expressions of vascular endothelial growth factor a and vascular endothelial growth factor receptor 2 in the A2B2 group were higher than those in the other three groups(P<0.05).(5)These findings confirm that 30 minutes of red light irradiation combined with silver alginate fiber dressing has better results in treatment of chronic non-healing wounds.

ObjectiveTo investigate the protective mechanism of Qianyang Yuyin granules （QYYY） on aldosterone-induced podocyte injury. MethodA total of 30 C57BL/6J mice were randomly divided into five groups： control group， model group， QYYY low dose （QYYY-L） group， QYYY high dose （QYYY-H） group， and spironolactone （SPL） group， with six mice in each group. Except for the control group， mice were implanted with osmotic minipumps and injected continuously with aldosterone （300 μg·kg^-1·d^-1） to induce renal injury. The drug administration group was given low and high doses （2.6， 5.2 g·kg^-1·d^-1） of QYYY and SPL （18 mg·kg^-1·d^-1） for 28 days. The renal pathological changes of mice were observed by hematoxylin-eosin （HE） staining and Masson staining. The expression levels of Nephrin， Desmin， B-cell lymphoma-2 （Bcl-2）， Bcl-2-associated X （Bax）， cleaved Caspase-3， nuclear receptor subfamily 3 group C member 2 （NR3C2）， extracellular regulated protein kinases （ERK）， and phospho-ERK （p-ERK） in kidney tissue were detected by Western blot. The apoptosis levels of kidney tissue were detected by TdT-mediated dUTP nick and labeling （TUNEL） staining， and the superoxide dismutase （SOD） levels were detected. In vitro， the mice were divided into five groups： Control group， model group （aldosterone concentration of 200 nmol·L^-1）， QYYY-L group， QYYY medium dose （QYYY-M） group， and QYYY-H group （25， 50， and 100 mg·L^-1）. The effect of different concentrations of QYYY on the relative viability of aldosterone-induced podocytes was detected by cell proliferation and viability assay （CCK-8）. The expressions of Nephrin， Desmin， Bax， Bcl-2， cleaved Caspase-3， NR3C2， and p-ERK/ERK were detected by Western blot. AnnexinV-FITC/PI flow cytometry was used to detect the apoptosis levels of podocytes. Reactive oxygen species （ROS） in podocytes were observed by DCFH-DA. ResultCompared with the control group， the model group showed structural pathological changes and fibrotic conditions in the kidney， increased apoptosis levels （P<0.01）， and decreased SOD levels （P<0.01）. Aldosterone concentration at 200 nmol·L^-1 showed a significant decrease in podocyte activity （P<0.05）. Podocytes in the model group showed structural pathological changes， disordered arrangement of intercellular microfilaments， increased apoptosis levels （P<0.01）， and increased intracellular ROS levels （P<0.01）. The protein expressions of Nephrin， Bcl-2， and p-ERK/ERK in kidney tissue and podocytes were decreased （P<0.05， P<0.01）. The protein expressions of Desmin， Bax， cleaved Caspase-3， and NR3C2 were increased （P<0.05， P<0.01）. Compared with the model group， QYYY alleviated the structural damage and fibrosis of the kidney， decreased the apoptosis levels （P<0.05， P<0.01）， and enhanced the SOD content of the kidney （P<0.05， P<0.01）. QYYY improved the activity of podocytes （P<0.05， P<0.01）， restored the foot process structure of podocytes， and decreased apoptosis levels （P<0.01） and ROS levels of podocytes （P<0.01）. The protein expressions of Nephrin， Bcl-2， and p-ERK/ERK in kidney tissue and podocytes were increased （P<0.05， P<0.01）， and the protein expressions of Desmin， Bax， cleaved Caspase-3， and NR3C2 were down-regulated （P<0.05， P<0.01）. ConclusionQYYY improves aldosterone-induced podocyte injury by regulating the NR3C2/ROS/ERK pathway.

Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Background and Purpose:The early prediction of local tumor progression-free survival(LTPFS)after radiofrequency ablation(RFA)for colorectal cancer(CRC)lung metastases has significant clinical importance.The application of radiomics in the prediction of tumor prognosis has been explored.This study aimed to construct a radiomics-based nomogram for predicting LTPFS after RFA in CRC patients with lung metastases.Methods:This study retrospectively analyzed 172 CRC patients with 401 lung metastases admitted to Department of Interventional Radiology,Fudan University Shanghai Cancer Center from August 2016 to January 2019.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:2402291-24).After augmentation of pre-ablation and immediate post-ablation computed tomography(CT)images,the target metastases and ablation regions were segmented manually to extract the radiomic features.Maximum relevance and minimum redundancy algorithm(MRMRA)and least absolute shrinkage and selection operator(LASSO)regression models were applied for feature selection.The clinical model,the radiomics model,and the fusion model were constructed based on the selected radiomic features and clinical variables screened by the multivariate analysis.The Harrell concordance index(C-index)and area under receiver operating characteristic(ROC)curves(AUC)were calculated to evaluate the prediction performance.Finally,the corresponding nomogram of the best model was drawn.Results:Among all the lung metastases,102(25.4%)had final recurrence,and 299(74.6%)had complete response(CR).The median follow-up time was 21 months(95%CI:19.466-22.534),and the LTPFS rates at 1,2,and 3 years after RFA were 76.5%(95%CI:72.0-80.4),72.1%(95%CI:66.6-76.9)and 69.9%(95%CI:64.0-75.1).In both the training and test dataset,the fusion model based on the final 12 radiomic features through the LASSO regression and 4 clinical variables screened by multivariate analysis achieved the highest AUC values for LTPFS,with C-index values of 0.890(95%CI:0.854-0.927)and 0.843(95%CI:0.768-0.916),respectively.Conclusion:The fusion model based on radiomic features and clinical variables is feasible for predicting LTPFS after RFA of CRC patients with lung metastases,whose performance is superior to the single radiomic and clinical model.At the same time,the nomogram of the fusion model can intuitively predict the prognosis of CRC patients with lung metastases after RFA,thus assisting clinicians in developing individualized follow-up review plans for patients and adjusting treatment strategies flexibly.

Glioblastoma multiforme (GBM), a highly malignant and heterogeneous brain tumor, contains various types of tumor and non-tumor cells. Whether GBM cells can trans-differentiate into non-neural cell types, including mural cells or endothelial cells (ECs), to support tumor growth and invasion remains controversial. Here we generated two genetic GBM models de novo in immunocompetent mouse brains, mimicking essential pathological and molecular features of human GBMs. Lineage-tracing and transplantation studies demonstrated that, although blood vessels in GBM brains underwent drastic remodeling, evidence of trans-differentiation of GBM cells into vascular cells was barely detected. Intriguingly, GBM cells could promiscuously express markers for mural cells during gliomagenesis. Furthermore, single-cell RNA sequencing showed that patterns of copy number variations (CNVs) of mural cells and ECs were distinct from those of GBM cells, indicating discrete origins of GBM cells and vascular components. Importantly, single-cell CNV analysis of human GBM specimens also suggested that GBM cells and vascular cells are likely separate lineages. Rather than expansion owing to trans-differentiation, vascular cell expanded by proliferation during tumorigenesis. Therefore, cross-lineage trans-differentiation of GBM cells is very unlikely to occur during gliomagenesis. Our findings advance understanding of cell lineage dynamics during gliomagenesis, and have implications for targeted treatment of GBMs.
Mice ; Animals ; Humans ; Glioblastoma/pathology* ; Endothelial Cells/pathology* ; DNA Copy Number Variations ; Brain/metabolism* ; Brain Neoplasms/pathology*

High-frequency steady-state asymmetric visual evoked potential (SSaVEP) provides a new paradigm for designing comfortable and practical brain-computer interface (BCI) systems. However, due to the weak amplitude and strong noise of high-frequency signals, it is of great significance to study how to enhance their signal features. In this study, a 30 Hz high-frequency visual stimulus was used, and the peripheral visual field was equally divided into eight annular sectors. Eight kinds of annular sector pairs were selected based on the mapping relationship of visual space onto the primary visual cortex (V1), and three phases (in-phase[0º, 0º], anti-phase [0º, 180º], and anti-phase [180º, 0º]) were designed for each annular sector pair to explore response intensity and signal-to-noise ratio under phase modulation. A total of 8 healthy subjects were recruited in the experiment. The results showed that three annular sector pairs exhibited significant differences in SSaVEP features under phase modulation at 30 Hz high-frequency stimulation. And the spatial feature analysis showed that the two types of features of the annular sector pair in the lower visual field were significantly higher than those in the upper visual field. This study further used the filter bank and ensemble task-related component analysis to calculate the classification accuracy of annular sector pairs under three-phase modulations, and the average accuracy was up to 91.5%, which proved that the phase-modulated SSaVEP features could be used to encode high- frequency SSaVEP. In summary, the results of this study provide new ideas for enhancing the features of high-frequency SSaVEP signals and expanding the instruction set of the traditional steady state visual evoked potential paradigm.
Humans ; Evoked Potentials, Visual ; Brain-Computer Interfaces ; Healthy Volunteers ; Signal-To-Noise Ratio

Motor imagery (MI), motion intention of the specific body without actual movements, has attracted wide attention in fields as neuroscience. Classification algorithms for motor imagery electroencephalogram (MI-EEG) signals are able to distinguish different MI tasks based on the physiological information contained by the EEG signals, especially the features extracted from them. In recent years, there have been some new advances in classification algorithms for MI-EEG signals in terms of classifiers versus machine learning strategies. In terms of classifiers, traditional machine learning classifiers have been improved by some researchers, deep learning and Riemannian geometry classifiers have been widely applied as well. In terms of machine learning strategies, ensemble learning, adaptive learning, and transfer learning strategies have been utilized to improve classification accuracies or reach other targets. This paper reviewed the progress of classification algorithms for MI-EEG signals, summarized and evaluated the existing classifiers and machine learning strategies, to provide new ideas for developing classification algorithms with higher performance.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Imagery, Psychotherapy ; Imagination ; Machine Learning

Objective:To investigate the effects of propofol and sevoflurane on post-traumatic stress disorder (PTSD) after emergency surgery in trauma patients.Methods:A total of 160 trauma patients undergoing emergency surgery under general anesthesia were randomly divided into the propofol group and the sevoflurane group. The perioperative clinical data of the two groups were collected. The incidence of PTSD was evaluated by PCL-5 score one month after the operation in the two groups. The relevance of the injury time and PCL-5 score was assessed by Spearman correlation analysis. Logistic regression analysis was used to analyze the risk factors of PTSD.Results:The incidence of PTSD in the propofol group was significantly higher than that in the sevoflurane group at postoperative 1 month (24.0% vs 10.8%, P=0.034). The injury time was negatively correlated with PCL-5 score in the propofol group ( r=0.229, P<0.01). There was no correlation between the injury time and the PCL-5 score in the sevoflurane group ( r=0.001, P=0.804). Logistic regression analysis showed that the use of propofol was an independent risk factor for PTSD ( P=0.004). Conclusions:Sevoflurane anesthesia is more effective than propofol anesthesia in reducing the occurrence of PTSD in emergency surgery for trauma patients.

Objective:To establish a multilocus sequence typing (MLST) assay for Corynebacterium ( C.) striatum, explore the population structure and evolution relationship of clinical isolates of C. striatum. Methods:Seven housekeeping genes ( gyrA, gyrB, hsp65, sodA, secA1, rpoB, 16S rRNA) were amplified with PCR by using self-designed specific primers and sequenced. Then, the sequences were assembled with software SeqMan. The gene diversity and gene recombination characteristics were evaluated by using software DnaSP 5.10.01 and Splits tree 4.14.2. The phylogenetic tree and the minimum spanning tree were constructed based on the sequence types (ST) characteristics by using software MEGA 7.0.14 and BioNumerics, respectively. In addition, the genetic evolutionary relationship among STs were analyzed by using software eBURST 3.0. Results:The expected amplification products of seven sites selected in all the test strains were obtained. Splits tree showed that the clustering of all C. striatum strains was consistent, suggesting that gene recombination is the potential driving force for the evolution of C. striatum. All of the 344 C.striatum strains were divided into 72 STs by MLST and 85.7% of the strains formed clonal complexes. CC19 was the predominant clonal complex, whereas ST16 in the clonal complex was detected in the most strains. ST had a certain geographic clustering and a certain correlation with the isolation time. Conclusions:C. striatum showed high genetic diversity in China and CC19 was the predominant clonal complex. The MLST assay established in this study can be used for the typing of C. striatum, but further improvement is needed.

Objective To improve the quality for authorized distribution of traditional Chinese medicine pieces, reduce patient complaints and increase patient satisfaction. Methods Patient’s complaints against different drug dispensing modes were analyzed. PDCA cycle was used for quality improvements. Results The new quality control mode includes pre monitoring measures, such as pharmacist resident in pharmaceutical factories and unannounced factory inspections, the fast-track handing measures for the problems occurred in patients, pharmacies, pharmaceutical factories and express delivery companies, and retrospective measures, such as evaluation of pharmaceutical factories and quarterly pharmaceutical factory communication meetings. Conclusion Three years after the new quality control mode, patient’s complaints were significantly reduced. The authorized distribution quality for traditional Chinese medicine pieces was greatly improved.