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TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry

Primary immunodeficiency diseases (PID) is a heterogeneous group of disorders caused by genetic defects of the immune system, which manifests clinically as recurrent infections, autoimmune diseases, or malignancies. Early detection of other PID remains a challenge, particularly in older children due...

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Autores principales: Korsunskiy, Ilya, Blyuss, Oleg, Gordukova, Maria, Davydova, Nataliia, Gordleeva, Susanna, Molchanov, Robert, Asmanov, Alan, Peshko, Dmitrii, Zinovieva, Nataliia, Zimin, Sergey, Lazarev, Vladimir, Salpagarova, Aminat, Filipenko, Maxim, Kozlov, Ivan, Prodeus, Andrey, Korsunskiy, Anatoliy, Hsu, Peter, Munblit, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348265/
https://www.ncbi.nlm.nih.gov/pubmed/30719006
http://dx.doi.org/10.3389/fphys.2018.01877
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author Korsunskiy, Ilya
Blyuss, Oleg
Gordukova, Maria
Davydova, Nataliia
Gordleeva, Susanna
Molchanov, Robert
Asmanov, Alan
Peshko, Dmitrii
Zinovieva, Nataliia
Zimin, Sergey
Lazarev, Vladimir
Salpagarova, Aminat
Filipenko, Maxim
Kozlov, Ivan
Prodeus, Andrey
Korsunskiy, Anatoliy
Hsu, Peter
Munblit, Daniel
author_facet Korsunskiy, Ilya
Blyuss, Oleg
Gordukova, Maria
Davydova, Nataliia
Gordleeva, Susanna
Molchanov, Robert
Asmanov, Alan
Peshko, Dmitrii
Zinovieva, Nataliia
Zimin, Sergey
Lazarev, Vladimir
Salpagarova, Aminat
Filipenko, Maxim
Kozlov, Ivan
Prodeus, Andrey
Korsunskiy, Anatoliy
Hsu, Peter
Munblit, Daniel
author_sort Korsunskiy, Ilya
collection PubMed
description Primary immunodeficiency diseases (PID) is a heterogeneous group of disorders caused by genetic defects of the immune system, which manifests clinically as recurrent infections, autoimmune diseases, or malignancies. Early detection of other PID remains a challenge, particularly in older children due to milder and less specific symptoms, a low level of clinician PID awareness and poor provision of hospital laboratories with appropriate devices. T-cell recombination excision circles (TREC) and kappa-deleting element recombination circle (KREC) in a dried blood spot and in peripheral blood using real-time polymerase chain reaction (PCR) are used as a tool for severe combined immune deficiency but not in PID. They represent an attractive and cheap target for a more extensive use in clinical practice. This study aimed to assess TREC/KREC correspondence with lymphocyte subpopulations, measured by flow cytometry and evaluate correlations between TREC/KREC, lymphocyte subpopulations and immunoglobulins. We carried out analysis of data from children assessed by clinical immunologists at Speransky Children’s Hospital, Moscow, Russia with suspected immunodeficiencies between May 2013 and August 2016. Peripheral blood samples were sent for TREC/KREC, flow cytometry (CD3, CD4, CD8, and CD19), IgA, IgM, and IgG analysis. A total of 839 samples were analyzed for using TREC assay and flow cytometry and 931 KREC/flow cytometry. TREC demonstrated an AUC of 0.73 (95% CI 0.70–0.76) for CD3, 0.74 (95% CI 0.71–0.77) for CD4 and 0.67 (95% CI 0.63–0.70) for CD8, respectively, while KREC demonstrated an AUC of 0.72 (95% CI 0.69–0.76) for CD19. Moderate correlation was found between the levels of TREC and CD4 (r = 0.55, p < 0.01) and KREC with CD19 (r = 0.56, p < 0.01). In this study, promising prediction models were tested. We found that TREC and KREC are able to moderately detect abnormal levels of individual lymphocyte subpopulations. Future research should assess associations between TREC/KREC and other lymphocyte subpopulations and approach TREC/KREC use in PID diagnosis.
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spelling pubmed-63482652019-02-04 TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry Korsunskiy, Ilya Blyuss, Oleg Gordukova, Maria Davydova, Nataliia Gordleeva, Susanna Molchanov, Robert Asmanov, Alan Peshko, Dmitrii Zinovieva, Nataliia Zimin, Sergey Lazarev, Vladimir Salpagarova, Aminat Filipenko, Maxim Kozlov, Ivan Prodeus, Andrey Korsunskiy, Anatoliy Hsu, Peter Munblit, Daniel Front Physiol Physiology Primary immunodeficiency diseases (PID) is a heterogeneous group of disorders caused by genetic defects of the immune system, which manifests clinically as recurrent infections, autoimmune diseases, or malignancies. Early detection of other PID remains a challenge, particularly in older children due to milder and less specific symptoms, a low level of clinician PID awareness and poor provision of hospital laboratories with appropriate devices. T-cell recombination excision circles (TREC) and kappa-deleting element recombination circle (KREC) in a dried blood spot and in peripheral blood using real-time polymerase chain reaction (PCR) are used as a tool for severe combined immune deficiency but not in PID. They represent an attractive and cheap target for a more extensive use in clinical practice. This study aimed to assess TREC/KREC correspondence with lymphocyte subpopulations, measured by flow cytometry and evaluate correlations between TREC/KREC, lymphocyte subpopulations and immunoglobulins. We carried out analysis of data from children assessed by clinical immunologists at Speransky Children’s Hospital, Moscow, Russia with suspected immunodeficiencies between May 2013 and August 2016. Peripheral blood samples were sent for TREC/KREC, flow cytometry (CD3, CD4, CD8, and CD19), IgA, IgM, and IgG analysis. A total of 839 samples were analyzed for using TREC assay and flow cytometry and 931 KREC/flow cytometry. TREC demonstrated an AUC of 0.73 (95% CI 0.70–0.76) for CD3, 0.74 (95% CI 0.71–0.77) for CD4 and 0.67 (95% CI 0.63–0.70) for CD8, respectively, while KREC demonstrated an AUC of 0.72 (95% CI 0.69–0.76) for CD19. Moderate correlation was found between the levels of TREC and CD4 (r = 0.55, p < 0.01) and KREC with CD19 (r = 0.56, p < 0.01). In this study, promising prediction models were tested. We found that TREC and KREC are able to moderately detect abnormal levels of individual lymphocyte subpopulations. Future research should assess associations between TREC/KREC and other lymphocyte subpopulations and approach TREC/KREC use in PID diagnosis. Frontiers Media S.A. 2019-01-21 /pmc/articles/PMC6348265/ /pubmed/30719006 http://dx.doi.org/10.3389/fphys.2018.01877 Text en Copyright © 2019 Korsunskiy, Blyuss, Gordukova, Davydova, Gordleeva, Molchanov, Asmanov, Peshko, Zinovieva, Zimin, Lazarev, Salpagarova, Filipenko, Kozlov, Prodeus, Korsunskiy, Hsu and Munblit. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Korsunskiy, Ilya
Blyuss, Oleg
Gordukova, Maria
Davydova, Nataliia
Gordleeva, Susanna
Molchanov, Robert
Asmanov, Alan
Peshko, Dmitrii
Zinovieva, Nataliia
Zimin, Sergey
Lazarev, Vladimir
Salpagarova, Aminat
Filipenko, Maxim
Kozlov, Ivan
Prodeus, Andrey
Korsunskiy, Anatoliy
Hsu, Peter
Munblit, Daniel
TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title_full TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title_fullStr TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title_full_unstemmed TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title_short TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry
title_sort trec and krec levels as a predictors of lymphocyte subpopulations measured by flow cytometry
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348265/
https://www.ncbi.nlm.nih.gov/pubmed/30719006
http://dx.doi.org/10.3389/fphys.2018.01877
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