Objective To examine the effect of rational emotive therapy on negative emotions among advanced schistosomiasis patients with repeated hospitalizations. Methods A total of 97 advanced schistosomiasis patients with anxiety and depressive emotions that were hospitalized in Xiangyue Hospital of Hunan Institute of Schistosomiasis Control for three times or more were enrolled, and given rational emotive therapy for 4 weeks in addition to routine nursing care. The scores for anxiety, depression and quality of life were estimated in patients before and after the rational emotive therapy using the Self-Rating Anxiety Scale (SRS), the Self-Rating Depression Scale (SDS) and WHOQOL-BREF Form. Results The SAS and SDS scores were significantly lower 4 weeks following rational emotive therapy than before the intervention (SAS score, 45.40 ± 7.77 vs. 59.25 ± 9.29, t = 14.021, P < 0.01; 51.48 ± 8.01 vs. 63.93 ± 9.59, t = 12.991, P < 0.01). The percentages of patients with moderate and severe anxiety and depression were significantly lower 4 weeks following rational emotive therapy than before the intervention (P < 0.01), and the scores for each item in the quality of life were all significantly greater 4 weeks following rational emotive therapy than before the intervention (P < 0.01). Conclusion Rational emotive therapy may improve the negative emotions and the quality of life of advanced schistosomiasis patients with repeated hospitalizations.

BACKGROUND: Youzhi artificial intelligence (AI) software is the AI-assisted decision-making system for diagnosing skin tumors. The high diagnostic accuracy of Youzhi AI software was previously validated in specific datasets. The objective of this study was to compare the performance of diagnostic capacity between Youzhi AI software and dermatologists in real-world clinical settings. METHODS: A total of 106 patients who underwent skin tumor resection in the Dermatology Department of China-Japan Friendship Hospital from July 2017 to June 2019 and were confirmed as skin tumors by pathological biopsy were selected. Dermoscopy and clinical images of 106 patients were diagnosed by Youzhi AI software and dermatologists at different dermoscopy diagnostic levels. The primary outcome was to compare the diagnostic accuracy of the Youzhi AI software with that of dermatologists and that measured in the laboratory using specific data sets. The secondary results included the sensitivity, specificity, positive predictive value, negative predictive value, F-measure, and Matthews correlation coefficient of Youzhi AI software in the real-world. RESULTS: The diagnostic accuracy of Youzhi AI software in real-world clinical settings was lower than that of the laboratory data (P < 0.001). The output result of Youzhi AI software has good stability after several tests. Youzhi AI software diagnosed benign and malignant diseases by recognizing dermoscopic images and diagnosed disease types with higher diagnostic accuracy than by recognizing clinical images (P = 0.008, P = 0.016, respectively). Compared with dermatologists, Youzhi AI software was more accurate in the diagnosis of skin tumor types through the recognition of dermoscopic images (P = 0.01). By evaluating the diagnostic performance of dermatologists under different modes, the diagnostic accuracy of dermatologists in diagnosing disease types by matching dermoscopic and clinical images was significantly higher than that by identifying dermoscopic and clinical images in random sequence (P = 0.022). The diagnostic accuracy of dermatologists in the diagnosis of benign and malignant diseases by recognizing dermoscopic images was significantly higher than that by recognizing clinical images (P = 0.010). CONCLUSION The diagnostic accuracy of Youzhi AI software for skin tumors in real-world clinical settings was not as high as that of using special data sets in the laboratory. However, there was no significant difference between the diagnostic capacity of Youzhi AI software and the average diagnostic capacity of dermatologists. It can provide assistant diagnostic decisions for dermatologists in the current state.

BACKGROUND: TOSO, also named Fas inhibitory molecule 3 (FAIM3), has recently been identified as an immunoglobulin M (IgM) Fc receptor (FcμR). Previous studies have shown that TOSO is specifically over-expressed in chronic lymphocytic leukemia (CLL). However, the functions of TOSO in CLL remain unknown. The B-cell receptor (BCR) signaling pathway has been reported to be constitutively activated in CLL. Here, we aimed to investigate the functions of TOSO in the BCR signaling pathway and the pathogenesis of CLL. METHODS: We over-expressed TOSO in B-cell lymphoma cell lines (Granta-519 and Z138) by lentiviral transduction and knocked down TOSO by siRNA in primary CLL cells. The over-expression and knockdown of TOSO were confirmed at the RNA level by polymerase chain reaction and protein level by Western blotting. Co-immunoprecipitation with TOSO antibody followed by liquid chromatography coupled with tandem mass spectrometry (IP/LCMS) was used to identify TOSO interacting proteins. Western blotting was performed to detect the activation status of BCR signaling pathways as well as B-cell lymphoma 2 (BCL-2). Flow cytometry was used to examine the apoptosis of TOSO-over-expressing B lymphoma cell lines and TOSO-down-regulated CLL cells via the staining of Annexin V and 7-AAD. One-way analyses of variance were used for intergroup comparisons, while independent samples t tests were used for two-sample comparisons. RESULTS: From IP/LCMS, we identified spleen tyrosine kinase (SYK) as a crucial candidate of TOSO-interacting protein and confirmed it by co-immunoprecipitation. After stimulation with anti-IgM, TOSO over-expression increased the phosphorylation of SYK, and subsequently activated the BCR signaling pathway, which could be reversed by a SYK inhibitor. TOSO knockdown in primary CLL cells resulted in reduced SYK phosphorylation as well as attenuated BCR signaling pathway. The apoptosis rates of the Granta-519 and Z138 cells expressing TOSO were (8.46 ± 2.90)% and (4.20 ± 1.21)%, respectively, significantly lower than the rates of the control groups, which were (25.20 ± 4.60)% and (19.72 ± 1.10)%, respectively (P < 0.05 for both). The apoptosis rate was reduced after knocking down TOSO in the primary CLL cells. In addition, we also found that TOSO down-regulation in primary cells from CLL patients led to decreased expression of BCL-2 as well as lower apoptosis, and vice versa in the cell line. CONCLUSIONS TOSO might be involved in the pathogenesis of CLL by interacting with SYK, enhancing the BCR signaling pathway, and inducing apoptosis resistance.

Objective: To predict the possible quality markers of ginseng in the treatment of heart failure. Methods: The ginseng chemical information was used to predict its putative targets related to heart failure by TCMIP V2.0 and the protein-protein interaction (PPI) network was constructed. The key targets of drug intervention on heart failure were enriched. The interaction network of chemical components-key targets-pathways was constructed to obtain the main components acting on these key targets, which are related to drug efficacy. According to the five principles of quality markers identification, we analyzed the quality markers of ginseng in the treatment of heart failure. Results: A total of 63 key targets were obtained for ginseng in the treatment of heart failure, including 63 putative drug targets and two targets related to disease. ATP1A1 and ADCY2 are the common targets associated with the drug and disease. The common targets of ATP1A1 and ADCY2 may be the key targets of drug acting on disease. The main components of ginseng acting on these common targets were screened out, and then we have determined the possible quality markers of ginseng for the treatment of heart failure based on the five principles of quality markers. Conclusion: We obtained the possible quality markers of ginseng in the treatment of heart failure, including ginsenoside Rg1, ginsenoside Re, ginsenoside Rf, and ginsenoside Rb2, which provided the basis for our deeper research of ginseng in the treatment of heart failure.

Objective: To screen the differentially expressed proteins of saponins in Pulsatillae Radix inhibiting the proliferation and induce apoptosis on NCI-H460 tumor cells based on proteome technology using nano LC-LTQ-Orbitrap-MS/MS, and preliminarily speculate the potential mechanism. Method: NCI-H460, SK-OV-3 and SGC-7901 tumor cells were cultured in vitro. Methylthiazoletetrazolium (MTT) assay was used to detect the inhibitory rate of saponins in Pulsatillae Radix on three tumor cell lines. Effect of saponins in Pulsatillae Radix on apoptosis was analyzed by Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI) staining flow cytometry and 4',6-diamidino-2-phenylindole (DAPI) staining. Apoptosis was analyzed using flow cytometry and DAPI stain. Nano LC-LTQ-Orbitrap-MS/MS was used to investigate the changes in the protein profiles on NCI-H460 cells treated with saponins in Pulsatillae Radix. Proteins exhibiting differential expression were analyzed by DAVID Bioinformatics Resources 6.8 and Kyoto encyclopedia of genes and genomes (KEGG) database. The differentially expressed proteins were verified by Western blot. Result: Saponins in Pulsatillae Radix could inhibit the proliferation of NCI-H460, SK-OV-3 and SGC-7901 tumor cells and induce apoptosis of NCI-H460 tumor cells. Effect of Saponins in Pulsatillae Radix on the proliferation and apoptosis of NCI-H460 tumor cells was mainly related to the regulation of biological function of ribosome, glycolysis/gluconeogenesis and other biological processes. It was possible to induce apoptosis of NCI-H460 tumor cells by interfering mitogen-activated protein kinase (MAPK) signaling pathway and regulating the Caspase pathway. Conclusion: Saponins in Pulsatillae Radix can inhibit the proliferation and induce the apoptosis of NCI-H460 tumor cells, the mechanism may be related to the intervention of MAPK signaling pathway and the regulation of Caspase pathway. These findings are helpful to elucidate the molecular mechanism of the anti-tumor effect of saponins in Pulsatillae Radix.

Objective: Dermoscopy is a useful technique for improving the diagnostic accuracy of various types of skin disorders. In China, dermoscopy has been widely accepted, and domestic researchers have made tremendous progress in the field of dermoscopy. The main purpose of this review is to summarize the current status of dermoscopy in China and identify its future directions. Data sources: Articles included in this review were obtained by searching the following databases: Wanfang, China National Knowledge Infrastructure, PubMed, and the Web of Science. We focused on research published before 2019 with keywords including dermoscopy, dermoscopic, dermoscope and trichoscopy. Study selection: A total of 50 studies were selected. Of these studies, 20 studies were in Chinese and 30 in English, research samples of all the studies were collected from Chinese populations. Results: Since 2000, more than 380 articles about dermoscopy have been published in domestic or foreign journals. Dermoscopy can improve the diagnostic accuracy of neoplastic diseases, evaluating the therapeutic effect of treatment, and determining the treatment endpoint, and it can also assist in the differential diagnosis of inflammatory diseases and in the assessment of the severity of the disease. In addition, researches about the applications of dermoscopy during surgical treatment have been published. Training courses aiming to improve the diagnostic ability of dermatologists, either face-to-face or online, have been offered. The Chinese Skin Image Database, launched in 2017 as a work platform for dermatologists, has promoted the development of dermoscopy in China. Computer-aided diagnostic systems based on the Chinese population are ready for use. In the future, cooperation, resource sharing, talent development, image management, and computer-aided diagnosis will be important directions for the development of dermoscopy in China. Conclusion Dermoscopy has been widely used and developed in China, however, it still needs to address more challenges in the future.