Restoration of the inflammatory gene expression by horse oil in DNCB-treated mice skin

The present study evaluated the anti-inflammatory effect of horse oil in 2, 4-dinitrochlorobenzene (DNCB)-treated BALB/c mice. After the application of DNCB, the mice showed atopic dermatitis symptoms, including severe erythema, hemorrhage, and erosion, whereas those symptoms were alleviated by treatment with horse oil. To explain the anti-dermatitis effect of horse oil, the gene expression levels in the healing process in dorsal skin were observed using a cDNA microarray. The cDNA microarray analysis revealed that the expression levels of 30 genes related to the inflammation, including Ccr1, Ccr2, Ccl20, Anxa1, and Hc genes, were up-regulated (higher than 2.0-fold) in the DNCB group compared to the levels in the control group, whereas the levels were restored to the control level in the DNCB + horse oil-treated group. In contrast, the gene expression levels of 28 genes related to inflammation, including chemokine genes Ccl5, Ccl7, Ccl8, Cxcl10, and Cxcl13 genes, were down-regulated (lower than 0.5-fold) in the DNCB group compared to the levels in the control group, whereas the levels were restored to the control level in the DNCB + horse oil-treated group. Overall, the results show that horse oil restores the expression levels of genes related to inflammation that were perturbed by DNCB treatment.

Restoration of the inflammatory gene expression by horse oil in DNCB-treated mice skin

Restoration of the inflammatory gene expression by horse oil in DNCB-treated mice skin

The present study evaluated the anti-inflammatory effect of horse oil in 2, 4-dinitrochlorobenzene (DNCB)-treated BALB/c mice. After the application of DNCB, the mice showed atopic dermatitis symptoms, including severe erythema, hemorrhage, and erosion, whereas those symptoms were alleviated by treatment with horse oil. To explain the anti-dermatitis effect of horse oil, the gene expression levels in the healing process in dorsal skin were observed using a cDNA microarray. The cDNA microarray analysis revealed that the expression levels of 30 genes related to the inflammation, including Ccr1, Ccr2, Ccl20, Anxa1, and Hc genes, were up-regulated (higher than 2.0-fold) in the DNCB group compared to the levels in the control group, whereas the levels were restored to the control level in the DNCB + horse oil-treated group. In contrast, the gene expression levels of 28 genes related to inflammation, including chemokine genes Ccl5, Ccl7, Ccl8, Cxcl10, and Cxcl13 genes, were down-regulated (lower than 0.5-fold) in the DNCB group compared to the levels in the control group, whereas the levels were restored to the control level in the DNCB + horse oil-treated group. Overall, the results show that horse oil restores the expression levels of genes related to inflammation that were perturbed by DNCB treatment.

The Effectiveness of Questionnaire Utilized for Screening Noise Induced Hearing Loss / 대한산업의학회지

OBJECTIVES: This study was performed to investigate the effectiveness of the questionnaire. METHODS: Workers'health examination records, work environment record, and questionnaires of selected industries as samples were analysed using logistic regression analysis and discrimination analysis Results'Cases of bearing impairment (Dl+C) as dependent variables, and age, work duration and level of environmental noise as independent variables were selected for multiple unconditional logistic regression analysis. Odds ratio was 4.04 in hearing difficulty, 2.78 in tlnnitus and 1.08 in age. In the second analysis Noise induced hearing loss is selected as dependent variable. The OR in hearing difficulty was 3.67(95 % C.1. : 1.61 8.61), and was 1.09(95 % C.1. : 1.05-1.14) in age. Conditionnal multlple logistic regression analysis was performed. In hearing impairment as dependent variable, the OR of age was 1.02(95 % C.1. : 1.00-1.04) and other variables were not significant. However, NIHL as dependent, the OR of hearing difficulty was 4.57(95 % C.1. : 1.43-14.67). According to multiple logistic regression adopting each items of questionnaire as dependent variable, the only item of hearing difficulty showed significant difference with hearing ability. The discrimination analysis was performed with the class variable of hearing impairment, and discrimination variables of age, work duration, and environment noise level. The sensitivity of 59 %, and specificity of 88 %, and average error count of 23 % were obtained. When the numbers of items answered in questionnaire were assumed as the parameter of judgement for noise induced hearing loss (NIHL), the highest sensitivity and specificity were 33.5% and 49.0% in cases of more than two items answered. CONCLUSIONS: The development of items that is simple and discriminative mainly consisted of chronic and specific diseases related items is needed. Computerization for newly developed items might be needed to establish effective surveillance system for NIHL in the future.