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Objective:Applying bibliometrics to analyze the research history, hotspots and trends of Traditional Chinese Medicine (TCM) interventions in edema-related diseases, and to provide reference for the revision of diagnostic and therapeutic criteria for edema in TCM.Methods:The literature about edema treated with TCM was retrieved from CNKI, Wanfang, VIP, CBM from 1 st. Jan 1995 to 25 th. May 2022. CiteSpace and VOSviewer softwares were used to draw the knowledge map, and analyze the co-occurrence relationship and clustering characteristics of the institution, author, keywords and mechanism hotspots. Results:Totally 3 198 articles were included. The annual number of documents issued generally shows a spiral rise trend. Liaoning University of Chinese Medicine published the most articles. Core authors published the most articles were Sun Wei (13 articles); the team with the highest cooperation intensity was Yang Hongtao's team; keywords formed 7 clusters. Hotspot mechanisms included metabolic disorders, immune balance, anti-inflammation, calcium and phosphorus metabolism. Keywords in the past 7 years were membranous nephropathy, chronic heart failure, diabetes, lymphedema etc.Conclusions:The attention paid to the intervention of TCM in the field of edema is generally on the rise, and has decreased in the past two years. The research categories focus on the experience of famous doctors, clinical trials, and mechanistic studies, and nephropathy-related edema has been the focus of research; diabetic nephropathy, chronic heart failure, metabolomics, and immunotherapy are expected to be the focus of attention in the next stage.
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Objective:To analyze the efficacy evaluation criteria of the existing TCM treatment for edema RCT research, and to provide reference for the construction of unified standards.Methods:The batabases CNKI, WanFang Data, VIP, CBM, Pubmed and Web of Science were retrieved. The randomized controlled trials for the treatment of edema of TCM research, from September 1, 1993 to July 31, 2022, were screened and included. The content of efficacy evaluation, performed statistics on evaluation standard, the curative effect evaluation indexes, as well as standard composition, usage were extracted. We analyzed the characteristics, application and problems of the existing efficacy evaluation criterion.Results:A total of 123 Chinese articles were included. The included literature involved nephrogenic edema, cardiogenic edema, idiopathic edema, apoplexy limb edema and other edema. In recent years, randomized controlled trials on the treatment of edema by TCM have mainly used four efficacy evaluation criteria. Of which the Guidelines for Clinical Research on New Chinese Medicines (Trial) in 2002 had the highest utilization rate of 29.27%. Secondly, the utilization rate of Standard for Diagnosis and Curative Effect of TCM Diseases and Syndromes was 21.14%. The rest of the criteria were used by less than 6%. While 39.02% of the literature did not use the standards or used self-designed standards. Among the composition of efficacy evaluation indices, the application rate of TCM syndrome or symptom efficacy index was the highest (91.87%), the utilization rate of the Minnesota Living with Heart Failure Questionnaire Indicators was only 4.88%; biochemical tests accounted for a large proportion of Western medical indicators, while the measurement of edema severity was rarely applied. Conclusions:At present, the evaluation criteria of edema curative effect are diversified and insufficiently popularized, which need to be further screened and improved. It is suggested to construct a TCM edema efficacy evaluation model based on the characteristics of edema syndrome, comprehensively evaluate the efficacy from multiple dimensions such as TCM syndromes, western medicine indicators, and quality of life, and improve the scientific indicators.
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A target prediction approach to inhibit SARS-CoV-2 replication through metabolic difference analysis is presented.The approach is based on gene expression data from lung host cells,reconstructs a network model of the parts of the host cell metabolic system that are reprogrammed after viral invasion,and identifies candidate targets using single-gene knockout and cytotoxicity test.The robustness of antiviral targets against multiple currently known variants of SARS-CoV-2 is also analyzed.The results indicate that D-alanine is a key metabolite affecting SARS-CoV-2 replication and is applicable to all current SARS-CoV-2 variants.The gene regulating D-alanine(PLPBP)is the main gene target.The proposed approach is applicable to the existing viruses and host cells,providing new ideas for viral disease management.
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Clostridioides difficile infection (CDI) is an infectious disease with fever, abdominal pain and diarrhea as the main clinical manifestations. At present, CDI is mainly treated with antibiotics and faecal microbiota transplantation. As recurrent and refractory CDI continues to increase, it is important to seek a more effective alternative therapy. However, many of the studies on the prevention and control of CDI by probiotics are still in the early stage. This paper summarized the research on the types, mechanisms and technical means of probiotics in the treatment of CDI.
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Objective:To investigate the association between skin advanced glycation end products (AGEs) and carotid atherosclerosis (AS) in subjects with normal glucose regulation (NGR).Methods:This was a cross-sectional study. Data from the Health Management Center of the First Affiliated Hospital of University of Science and Technology between January 2019 to June 2019 were collected. A total of 902 NGR subjects aged 40-79 were enrolled and categorized into control group (530 cases), carotid intima-media thickness (IMT) thickening group (150 cases), and carotid atherosclerosis plaque group (222 cases) based on the carotid ultrasound results. Data as follows were collected, gender, age, blood pressure, body mass index (BMI), triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), fasting blood glucose (FPG), glycosylated hemoglobin (HbA 1c) and skin AGEs. Comparison via ANOVA analysis were carried out among the 3 groups. Logistic regression analysis was used to screen the independent influencing factors of carotid atherosclerosis plaque. Spearman correlation analysis was used to evaluate the correlation between AGEs and other parameters, and receiver operating characteristic (ROC) curve was used to evaluate the efficiency of skin AGEs in predicting carotid atherosclerosis plaque in NGR subjects. Results:Among the control group, IMT thickening group and carotid atherosclerosis plaque group, gender, age, systolic blood pressure (SBP), diastolic blood pressure (DBP), TC, LDL-C, FPG, HbA 1c, AGEs were significantly different (all P<0.05). Compared with IMT thickening group, the age, SBP and AGEs of carotid atherosclerotic plaque group were higher [55 (50, 60) vs 53 (49, 56) year; 132 (122, 141) vs 126 (115, 142) mmHg(1 mmHg=0.133 kPa); 74 (67, 81) vs 72 (67, 78) AU] (all P<0.001); compared with the control group, age, LDL-C, HbA 1c and AGEs of IMT thickening group were higher [53 (49, 56) vs 48 (45, 52) year; (2.8±0.7) vs (2.7±0.7) mmol/L; 5.4% (5.2, 5.6)% vs 5.4% (5.1, 5.6)%; 72 (67, 78) vs 70 (66, 76)] (all P<0.05). Age ( OR=1.179, 95% CI: 1.107-1.255), SBP ( OR=1.045, 95% CI: 1.013-1.077), LDL-C ( OR=2.028, 95% CI: 1.036-3.969), AGEs ( OR=1.049, 95% CI: 1.000-1.100) were independent influencing factors of carotid atherosclerotic plaque in population with normal glucose regulated (all P<0.05). AGEs was positively correlated with age, HbA 1c and carotid atherosclerosis plaque ( r=0.407, 0.092, 0.172) (all P<0.01). The area under the ROC curve of skin AGEs for identifying carotid atherosclerotic plaque in NGR population was 0.650 (95% CI 0.601-0.698), the best cutoff value was 70.5, the sensitivity was 65.8%, and the specificity was 56.9%. Conclusion:Skin AGEs level is closely associated with the occurrence of carotid atherosclerosis in NGR subjects.
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【Objective】 To analyze the data of non-small cell lung cancer (NSCLC) gene chip using the bioinformatics method, screen differential expression genes (DEGs), and explore the biomarkers related to the prognosis of NSCLC so as to provide a new target for the treatment of NSCLC. 【Methods】 The NSCLC gene chip data were downloaded from the GEO database and the common DEGs in the two datasets were screened by GEO2R tool and FunRich3.1.3 software. The DAVID database was used in GO analysis and KEGG analysis of the DEGs. The protein-protein interaction (PPI) network was constructed using the STRING database; Cytoscape 3.8.0 software was used to select the top 20 hub genes. Then Kaplan-Meier plotter was used to analyze the prognosis of the identified hub genes, and multiple external databases were used to verify the expressions of the hub genes and their relationship with prognosis. 【Results】 A total of 159 intersect DEGs were screened from the two datasets. A total of 20 hub genes were identified via PPI network. Survival analysis and validation results from multiple external databases showed that SPP1 was highly expressed in NSCLC tumor tissues and was significantly correlated with the patients’ poor prognosis (P<0.05). The subgroup analysis showed that SPP1 might cause the poor prognosis by affecting lymph node metastasis. 【Conclusion】 SPP1 may be a biomarker for evaluating the prognosis of NSCLC patients, providing a new idea for the targeted therapy of NSCLC.