Do lung epithelia in copd undergo transition to behave more like fibroblasts ?

Mickey D.

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Do lung epithelia in copd undergo transition to behave more like fibroblasts ?

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Lung epithelia, COPD undergo transition, fibroblasts, epithelial mesenchymal transition, EMT

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Abstract

Various respiratory conditions like chronic obstructive pulmonary disease (COPD), asthma and pulmonary fibrosis are known to cause the degeneration of respiratory tissues such as the epithelial tissue. In regard to this issue, this study tries to establish whether lung epithelia in COPD undergo transition to behave more like fibroblasts. The study was mainly contacted to evaluate whether epithelial mesenchymal transition (EMT) occurs in lung tissues of patients with respiratory diseases as well as finding out and eveluating whether the epithelial cells are converted into fibroblasts possess full fibroblast-like activity. With these evaluation,

Methods
Results
1. Association between the mean percentage collagen depositions, mean FEV1, and mean percentage expression of S100A4 fibrosis marker regard the smoking status (healthy ex-smokers and the current smokers and COPD current smokers)
2. Relationship between the pack year histories against the smoking status, the percentage collagen depositions, mean FEV1, and mean percentage expression of S100A4 fibrosis marker
3. Relationship between the age against the smoking status, the percentage collagen depositions, mean FEV1, and mean percentage expression of S100A4 fibrosis marker
Discussions
1. Association between incidences of COPD and mean expression marker S100A4 Fibrosis markers
2. The relationship between pack year history, smoking history, and the mean expression marker S100A4 Fibrosis markers
3. The association between smoking category (healthy ex-smokers, healthy current smokers, and the COPD- current smokers) and the mean expression marker S100A4 Fibrosis markers
4. 5.4 The association between collagen deposition and fibrosis

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[...] It is also observed that the F calculated is greater than the F critical and this as well indicate that the null hypothesis can't be rejected. Table 1. Single factor ANOVA- Age group The table 4 above represents the results of a single factor ANOVA test undertaken to test the null hypothesis that there is no statistically significant difference in the mean ages between the healthy ex smokers, current smokers and COPD smokers. The results indicate that the p value is greater than 0.05 and this means that the null hypothesis can't be rejected. [...]

[...] It is observed that the p value is less than 0.05 and this means that the null hypothesis is to be rejected. In this case, it can be concluded that there is statistically significant difference in the mean smoking history between the groups. It is also observed that the F calculated is less than the F critical and this as well indicate that the null hypothesis is to be rejected Regression Analysis: Collagen_1 versus AGE_1, Pack Year History, Smoking histroy_1 The Regression Equation from the regression analysis coefficient results is as follows: Collagen = 8.36 + 0.318 Age + 14.368 FEV1 + 0.212 Park Year History - 0.012 Age + 0.440 Smoking History The above regression analysis represents the collagen vs. [...]

[...] The same case can be depicted through a correlation analysis between the two variables. From the correlation analysis, the Pearson correlation is positive at depicting a positive relationship between collagen deposition and FEV Relationship between the pack year histories against the smoking status, the percentage collagen depositions, mean FEV1, and mean percentage expression of S100A4 fibrosis marker Figure The interval showing the relationship between the smoking status and the mean pack year history From the above results, the healthy ex-smokers exhibited higher pack year history as compared to both the current smokers and COPD smokers. [...]

[...] Also the F calculated is greater than F critical and this means that the null hypothesis can't be rejected as well Table 19: Single factor ANOVA- FEV1 The above table represents the results of a single factor ANOVA test undertaken to test the null hypothesis that there is no statistically significant difference in the mean FEV1 between the healthy ex smokers, current smokers and COPD smokers. Basing on the results, it is observed that the p value is greater than 0.05 and this means that the null hypothesis can't be rejected and it can be concluded that there is no statistically significant difference in the mean FEV1 level between the groups. It is also observed that the F calculated is greater than the F critical and this as well indicate that the null hypothesis can't be rejected. [...]

[...] Chapter Two Chapter Three 3.0 Methods The method used in this case involved immunohistochemical (IHC) techniques. Such techniques focused on finding evidence of EMT as well as fibroblast activity with the use of available antibodies and in paraffin embedded lung tissue reactions among patients known to have respiratory health problems. This was then correlated against morphological lung resections appearances and the demographics of patients. In the study subjects were included with n=12 in each of the three categories. Both correlation and regression analysis were conducted. IBM SPSS 20 was sussed to run these analyses. [...]

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