MiR-218 promotes apoptosis of U2OS osteosarcoma cells through targeting BIRC5.

Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "MiR-218 promotes apoptosis of U2OS osteosarcoma cells through targeting BIRC5, by D.-Z. Wang, S.-F. Jing, S.-B. Hao, X.-Y. Huang, Q.-T. Miao, J.-F. Gao, published in Eur Rev Med Pharmacol Sci 2018; 22(20): 6650-6657-DOI: 10.26355/eurrev_201810_16140-PMID: 30402837" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/16140.

MiR-218 promotes apoptosis of U2OS osteosarcoma cells through targeting BIRC5.

OBJECTIVE: Baculoviral inhibitor of apoptosis repeat-containing 5 (BIRC5) is a member of apoptosis inhibition family which suppresses caspase activity. Osteosarcoma tissues have significantly higher BIRC5 and lower microRNA-218 (miR-218) level than adjacent tissues, indicating tumor suppressor role of miR-218 in osteosarcoma. Bioinformatics analysis showed satisfactory targeting correlation between miR-218 and 3'-UTR of BIRC5 mRNA. This study, thus, investigated if dysregulation of miR-218 and BIRC5 affected apoptosis of osteosarcoma cells U2OS. PATIENTS AND METHODS: A total of 42 osteosarcoma patients were collected for tumor and adjacent tissues to compare miR-218 and BIRC5 expressions. Dual-luciferase reporter gene assay examined targeted regulation between miR-218 and BIRC5. In vitro cultured U2OS cells were treated with miR-218 mimic and/or si-BIRC5. Caspase-3 activity was measured by spectrometry while flow cytometry was used to test cell apoptosis, plus protein expression assay by Western blot assay. RESULTS: Compared to adjacent tissues, osteosarcoma tissues had significantly depressed miR-218 expression and elevated BIRC5 expression (p<0.05). miR-21 targeted 3'-UTR of BIRC5 to suppress its expression. The elevation of miR-218 and/or silencing BIRC5 significantly depressed BRIC5-induced inhibition on caspase-5, and facilitated U2OS cell apoptosis (p<0.05). CONCLUSIONS: We observed that miR-218 was significantly down-regulated in osteosarcoma tissues, which had elevated BIRC5 expression. MiR-218 targeted and inhibited BIRC5 expression, weakened caspase-5 inhibition by BIRC5, and facilitated U2OS osteosarcoma cell apoptosis.

[Application of occupational hazard risk index model in occupational health risk assessment in a decorative coating manufacturing enterprises].

Objective: To evaluate the occupational health risk of decorative coating manufacturing enterprises and to explore the applicability of occupational hazard risk index model in the health risk assessment, so as to provide basis for the health management of enterprises. Methods: A decorative coating manufacturing enterprise in Hebei Province was chosen as research object, following the types of occupational hazards and contact patterns, the occupational hazard risk index model was used to evaluate occupational health risk factors of occupational hazards in the key positions of the decorative coating manufacturing enterprise, and measured with workplace test results and occupational health examination. Results: The positions of oily painters, water-borne painters, filling workers and packers who contacted noise were moderate harm. And positions of color workers who contacted chromic acid salts, oily painters who contacted butyl acetate were mild harm. Other positions were harmless. The abnormal rate of contacting noise in physical examination results was 6.25%, and the abnormality was not checked by other risk factors. Conclusion: The occupational hazard risk index model can be used in the occupational health risk assessment of decorative coating manufacturing enterprises, and noise was the key harzard among occupational harzards in this enterprise.

[Application of means of surfaces with nonhomogeneity in estimating the incidence of pneumoconiosis].

Objective: To investigate the value of means of surfaces with nonhomogeneity (MSN) in esti-mating the incidence of pneumoconiosis. Methods: Based on the principal component analysis, all counties (districts) of Hebei Province, China, were divided into three categories according to the degree of pneumoconiosis hazards and the MSN model was used to estimate the incidence rate of pneumoconiosis and the number of pneu-moconiosis cases using the data of the incidence of pneumoconiosis in 2010. Results: With reference to the appli-cation requirements of the MSN model, results of the principal component analysis, and expert experience, the 172 counties (districts) in Hebei Province were divided into three categories with mild, moderate, and severe pneumoconiosis hazards. There were 74, 61, and 49 counties in the above categories, respectively, and 12, 12, and 25 counties were selected from them, respectively. The estimated number of pneumoconiosis cases in Hebei Province was 2105, and the incidence rate was 261.5 per hundred thousand, with a standard error of esti-mation of 389.9 per hundred thousand. Conclusion: The MSN model provides a new thought and method for es-timating the number of pneumoconiosis cases.

[Application of principal component analysis in comprehensive indicator screening for pneumoconiosis in different regions].

Objective: To investigate the application of principal component analysis in comprehensive indicator screening for pneumoconiosis in different regions. Methods: A principal component analysis was performed for the data of 11 factors associated with the prediction of pneumoconiosis hazard and collected in the investigation on occupational health status conducted in 172 counties (districts) in Hebei, China. The degree of pneumoconiosis hazard in different regions was obtained and intuitively presented by GIS. Results: The eigenvalues of 5 principal components of pneumoconiosis were 4.103, 2.341, 0.981, 0.943, and 0.726, respectively, and the contribution values were 37.299%, 21.286%, 8.919%, 8.572%, and 6.596%, respectively. According to the comprehensive value of principal components, GIS Natural Breaks was used to divide the degree of pneumoconiosis hazard in 172 counties (districts) in Hebei into mild, moderate, and severe grades. Of all the counties, 46 had severe pneumoconiosis hazard, 69 had moderate pneumoconiosis hazard, and 57 had mild pneumoconiosis hazard, and the ranges of the score of principal components were 0.30-1.15, -0.24 to 0.27, and -0.69 to -0.25, respectively. Conclusion: Principal component analysis can optimize the comprehensive indicators for the evaluation of regional pneumoconiosis. The comprehensive score of principal components can quantify and intuitively show the degree of pneumoconiosis hazard in different regions. Tangshan, Chengde, Shijiazhuang, and Handan have the most severe pneumoconiosis hazard.