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Immunophenotyping of cerebrospinal fluid cells by Chipcytometry
BACKGROUND: The gold standard in cerebrospinal fluid (CSF) cell immunophenotyping is flow cytometry. Nevertheless, the small amount of CSF cells and the invasive character of lumbar puncture limit the spectrum of possible investigation. Chipcytometry, a modified approach to slide-based cytometry, mi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968609/ https://www.ncbi.nlm.nih.gov/pubmed/29801453 http://dx.doi.org/10.1186/s12974-018-1176-7 |
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author | Hümmert, Martin W. Alvermann, Sascha Gingele, Stefan Gross, Catharina C. Wiendl, Heinz Mirenska, Anja Hennig, Christian Stangel, Martin |
author_facet | Hümmert, Martin W. Alvermann, Sascha Gingele, Stefan Gross, Catharina C. Wiendl, Heinz Mirenska, Anja Hennig, Christian Stangel, Martin |
author_sort | Hümmert, Martin W. |
collection | PubMed |
description | BACKGROUND: The gold standard in cerebrospinal fluid (CSF) cell immunophenotyping is flow cytometry. Nevertheless, the small amount of CSF cells and the invasive character of lumbar puncture limit the spectrum of possible investigation. Chipcytometry, a modified approach to slide-based cytometry, might be a useful tool for CSF analysis due to the possibility of iterative staining, imaging, and bleaching cycles. The aim of this study was to compare flow cytometric leukocyte subset analysis with Chipcytometry comparing the percentage distribution of distinct cell populations and the T-cell CD4:CD8 ratio. Moreover, this study investigated the interpretability of chips loaded with CSF cells and examined the applicability of Chipcytometry in clinical practice. METHODS: 375 CSF samples from 364 patients were analyzed by Chipcytometry using an automated upright microscope. Cell surface molecules were stained using fluorescence-labeled monoclonal antibodies. For cross-validation experiments, flow cytometry data of six patients were analyzed and matched with Chipcytometry data. RESULTS: Our experiments showed a better agreement examined by Bland-Altman analysis for samples with CSF pleocytosis than for normocellular CSF samples. Data were more consistent for B cells and CD4:CD8 ratio than for T cells and monocytes. Advantages of Chipcytometry compared to flow cytometry are that cells once fixated can be analyzed for up to 20 months with additional markers at any time. The clinical application of Chipcytometry is demonstrated by two illustrative case reports. However, the low amount of CSF cells limits the analysis of normocellular CSF samples, as in our cohort only 11.7% of respectively loaded chips had sufficient cell density for further investigation compared to 59.8% of all chips loaded with samples with elevated cell counts (≥ 5/μl). Varying centrifuge settings, tube materials and resuspension technique were not able to increase the cell yield. CONCLUSION: In summary, the results demonstrate the great potential of Chipcytometry of CSF cells for both scientific questions and routine diagnostic. A new chip design optimized to meet the requirements of CSF would greatly enhance the value of this method. Cross-validation results need to be confirmed in a larger cohort. |
format | Online Article Text |
id | pubmed-5968609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59686092018-05-30 Immunophenotyping of cerebrospinal fluid cells by Chipcytometry Hümmert, Martin W. Alvermann, Sascha Gingele, Stefan Gross, Catharina C. Wiendl, Heinz Mirenska, Anja Hennig, Christian Stangel, Martin J Neuroinflammation Research BACKGROUND: The gold standard in cerebrospinal fluid (CSF) cell immunophenotyping is flow cytometry. Nevertheless, the small amount of CSF cells and the invasive character of lumbar puncture limit the spectrum of possible investigation. Chipcytometry, a modified approach to slide-based cytometry, might be a useful tool for CSF analysis due to the possibility of iterative staining, imaging, and bleaching cycles. The aim of this study was to compare flow cytometric leukocyte subset analysis with Chipcytometry comparing the percentage distribution of distinct cell populations and the T-cell CD4:CD8 ratio. Moreover, this study investigated the interpretability of chips loaded with CSF cells and examined the applicability of Chipcytometry in clinical practice. METHODS: 375 CSF samples from 364 patients were analyzed by Chipcytometry using an automated upright microscope. Cell surface molecules were stained using fluorescence-labeled monoclonal antibodies. For cross-validation experiments, flow cytometry data of six patients were analyzed and matched with Chipcytometry data. RESULTS: Our experiments showed a better agreement examined by Bland-Altman analysis for samples with CSF pleocytosis than for normocellular CSF samples. Data were more consistent for B cells and CD4:CD8 ratio than for T cells and monocytes. Advantages of Chipcytometry compared to flow cytometry are that cells once fixated can be analyzed for up to 20 months with additional markers at any time. The clinical application of Chipcytometry is demonstrated by two illustrative case reports. However, the low amount of CSF cells limits the analysis of normocellular CSF samples, as in our cohort only 11.7% of respectively loaded chips had sufficient cell density for further investigation compared to 59.8% of all chips loaded with samples with elevated cell counts (≥ 5/μl). Varying centrifuge settings, tube materials and resuspension technique were not able to increase the cell yield. CONCLUSION: In summary, the results demonstrate the great potential of Chipcytometry of CSF cells for both scientific questions and routine diagnostic. A new chip design optimized to meet the requirements of CSF would greatly enhance the value of this method. Cross-validation results need to be confirmed in a larger cohort. BioMed Central 2018-05-25 /pmc/articles/PMC5968609/ /pubmed/29801453 http://dx.doi.org/10.1186/s12974-018-1176-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hümmert, Martin W. Alvermann, Sascha Gingele, Stefan Gross, Catharina C. Wiendl, Heinz Mirenska, Anja Hennig, Christian Stangel, Martin Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title | Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title_full | Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title_fullStr | Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title_full_unstemmed | Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title_short | Immunophenotyping of cerebrospinal fluid cells by Chipcytometry |
title_sort | immunophenotyping of cerebrospinal fluid cells by chipcytometry |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968609/ https://www.ncbi.nlm.nih.gov/pubmed/29801453 http://dx.doi.org/10.1186/s12974-018-1176-7 |
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