MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information.

MicroRNAs (miRNAs) are significant regulators in various biological processes. They may become promising biomarkers or therapeutic targets, which provide a new perspective in diagnosis and treatment of multiple diseases. Since the experimental methods are always costly and resource-consuming, prediction of disease-related miRNAs using computational methods is in great need. In this study, we developed MDA-CF to identify underlying miRNA-disease associations based on a cascade forest model. In this method, multi-source information was integrated to represent miRNAs and diseases comprehensively, and the autoencoder was utilized for dimension reduction to obtain the optimal feature space. The cascade forest model was then employed for miRNA-disease association prediction. As a result, the average AUC of MDA-CF was 0.9464 on HMDD v3.2 in five-fold cross-validation. Compared with previous computational methods, MDA-CF performed better on HMDD v2.0 with an average AUC of 0.9258. Moreover, MDA-CF was implemented to investigate colon neoplasm, breast neoplasm, and gastric neoplasm, and 100%, 86%, 88% of the top 50 potential miRNAs were validated by authoritative databases. In conclusion, MDA-CF appears to be a reliable method to uncover disease-associated miRNAs. The source code of MDA-CF is available at https://github.com/a1622108/MDA-CF.

[A discussion on the concentration assay for hemihydrate gypsum in plaster of paris bandage-viscose form].

This essay is to present an improvement on the concentration assay for hemihydrate gypsum in plaster of Paris bandage-Viscose form.

[Study on abnormality and regulation of T-lymphocyte subsets in peripheral blood of rheumatoid arthritis patients].

OBJECTIVE: To investigate the change of T-lymphocyte subsets in peripheral blood of rheumatoid arthritis (RA) patients and analyze the effects of Fuzheng Qubi Decoction (FZQBD) on T-cell subsets. METHODS: Thirty RA patients were randomly divided into two groups, and treated with FZQBD or western medicine combination therapy respectively for one month, the percentage of peripheral CD3+, CD4+, CD8+ as well as the serum IgG and IgA levels were determined. RESULTS: The percentage of peripheral CD4+, CD4+/CD8+ ratio, IgG and IgA levels increased significantly (P < 0.001) in RA patients before treatment. After 1 month of FZQBD treatment, the CD4+/CD8+ ratio decreased obviously (P < 0.05). CONCLUSION: Abnormal cellular immunity exists in RA patients, FZQBD could adjust the abnormal T-lymphocyte subsets to normalize it.