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

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  1. Methods
  2. 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
  3. 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

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,

[...] 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 is depicted through an histogram as shown below. Figure 14: The interval plot showing the relationship between the mean smoking history and the incidences of either COPD or the absence of COPD From the above results, it is can be seen that, the smokers with positive COPD reported higher mean smoking history than those without incidences of COPD. Figure 15: The interval plot showing the relationship between the mean percentage of collagen deposition and the incidences of COPD From the above results, the smokers with positive COPD reported higher mean percentage collagen deposition than those without incidences of COPD as shown in the above analysis results. [...]


[...] 110Smoking histroy The above regression analysis represents the S100A4 vs. age, Pack Year History and Smoking history. Basing on the results, it is clearly evident that the p value is greater than 0.05 for all the variables. This implies that they are not statistically significant to the model, hence making it irrelevant Regression Analysis: FEV1 versus AGE_1, Pack Year History, Smoking histroy_1 Based on the regression analysis results, the regression equation is as follows: FEV1 = 4.181 - 0.022 AGE - 0.016 Pack Year History The above regression analysis represents the FEV1 vs age, Pack Year History and Smoking history. [...]


[...] 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, the study aimed to find a new target for the COPD treatment. In the course of arriving at these objectives, the study utilized 12 smokers having varying smoking conditions. [...]

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