2021
DOI: 10.1002/cti2.1355
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Serological and cellular inflammatory signatures in end‐stage kidney disease and latent tuberculosis

Abstract: ObjectivesTuberculosis comorbidity with chronic diseases including diabetes, HIV and chronic kidney disease is of rising concern. In particular, latent tuberculosis infection (LTBI) comorbidity with end‐stage kidney disease (ESKD) is associated with up to 52.5‐fold increased risk of TB reactivation to active tuberculosis infection (ATBI). The immunological mechanisms driving this significant rise in TB reactivation are poorly understood. To contribute to this understanding, we performed a comprehensive assessm… Show more

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Cited by 8 publications
(8 citation statements)
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“…Much attention has also been paid to the characterization of pathogen-specific cytokine profiles in both human and veterinary medicine ( 12 , 48 , 49 ). Differences in pathogen-related cytokine profiles can be revealed by simple pairwise comparisons of absolute cytokine concentration across different diseases or stimulation conditions, but multidimensional data analysis often provides a more in-depth view ( 12 , 28 , 50 52 ). Among various statistical approaches, non-supervised Principal Component Analysis (PCA) has been the most extensively applied, while supervised approaches, namely, PLS-DA, Random Forest, and Support Vector Machine data analysis, have been less widely explored as a means to interpret cytokine profiling ( 45 , 53 56 ).…”
Section: Discussionmentioning
confidence: 99%
“…Much attention has also been paid to the characterization of pathogen-specific cytokine profiles in both human and veterinary medicine ( 12 , 48 , 49 ). Differences in pathogen-related cytokine profiles can be revealed by simple pairwise comparisons of absolute cytokine concentration across different diseases or stimulation conditions, but multidimensional data analysis often provides a more in-depth view ( 12 , 28 , 50 52 ). Among various statistical approaches, non-supervised Principal Component Analysis (PCA) has been the most extensively applied, while supervised approaches, namely, PLS-DA, Random Forest, and Support Vector Machine data analysis, have been less widely explored as a means to interpret cytokine profiling ( 45 , 53 56 ).…”
Section: Discussionmentioning
confidence: 99%
“…A Least Absolute Shrinkage and Selection Operator (LASSO) penalized logistic regression model was used to identify the minimal set of features that differentiated between COVID-19 recovered and COVID-19 vaccinated only vaccinees [20]. The feature selection stability was defined as the proportion of times that a feature was selected when the model was repeatedly fitted to 1000 resampled subsets of data as previously described [21]. Principal Component analysis (PCA) was then performed.…”
Section: Multivariable Methods For Identification Of Key Antibody Fea...mentioning
confidence: 99%
“…Both are enhanced with IgG purified from latent compared to active TB patients, implicating roles in potential protection for TB ( 16 ). If and how antibody glycosylation contributes to immune mediated outcomes in the context of HIV, diabetes and renal disease, the most significant risk factors for TB, remain uncharacterized ( 44 ). As biomarkers, direct comparison between Mtb reactive-IgG glycans and titers in a small cohort of individuals show that the former has enhanced ability to distinguish between latent and active TB ( 17 ).…”
Section: Functional Diversity In Antibodies and B Cellsmentioning
confidence: 99%