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Copyright (c) 2023 Yingzhen Zhou, Hao Zhang, Poonam Verma, Dipan Samanta, Manish Kumar Verma, Krishan Kumar
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Validation of secretory Immunoglobulin A (IgA) for early and efficient diagnosis of Pseudomonas aeruginosa lung infection
Corresponding Author(s) : Poonam Verma
Cellular and Molecular Biology,
Vol. 69 No. 7: Issue 7
Abstract
Pseudomonas aeruginosa is a gram-negative bacterium that is considered to be a major causal organism of nosocomial infection. This study brought data-specific evidence to reveal the efficacy of secretory Immunoglobulin A (IgA) measurement in diagnosing pulmonary P. aeruginosa infection and claims its validation as a diagnostic marker. This study has included controls and patients of Pseudomonas and grouped them into four, namely, controls, chronic cases, intermittent cases, and negative group. The last group, that is, the “Negative” group, is the ones who had a history of infection but currently showed negative blood culture. The level of sIgA was quantified in all the patients and the controls and then their status of pulmonary infection was determined by their blood culture. ANOVA and Pearson Chi-Square were employed for showing the association between sIgA and pulmonary infection. The mean value of salivary sIgA has been found the highest in chronic cases followed by Intermittent cases and Negative Infections. The boxplot diagram showed several parameters of sIgA quantification in each group and control. ANOVA and Pearson Chi-square (P<0.005) tests showed a significant association between sIgA level in saliva and pulmonary infection of P. aeruginosa. The ROC curve was plotted to determine the cut-off value of sIgA (sIgA≧13.09 U/ml) for efficient clinical diagnosis of pulmonary P. aeruginosa infection. The study has validated statistically that quantification of salivary sIgA can be used in clinical practice for early diagnosis of pulmonary infection of P. aeruginosa.
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