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An at-home blood collection device for remote immune monitoring by high-parameter flow cytometry
Andrew J. Konecny, Fang Yun Lim, Eva Domenjo-Vila, Erika Lovas, Rachel L. Blazevic, Louise E. Kimball, Michael Boeckh, Alpana Waghmare, Martin Prlic
Andrew J. Konecny, Fang Yun Lim, Eva Domenjo-Vila, Erika Lovas, Rachel L. Blazevic, Louise E. Kimball, Michael Boeckh, Alpana Waghmare, Martin Prlic
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Research Article Cell biology Clinical Research Immunology

An at-home blood collection device for remote immune monitoring by high-parameter flow cytometry

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Abstract

At-home blood collection devices (ABCDs) can facilitate study participation for remote and rural cohorts. Previous studies used ABCDs to interrogate samples by proteomics and sequencing approaches. We wanted to address the question of whether this approach could be used to assess live immune cells with high-parameter flow cytometry to enable remote immune monitoring. We first compared blood from standard venipuncture with ABCD blood draws, followed by assessment of the impact of sample shipping on immune cell viability and phenotyping. We found that capillary blood collected with a Tasso+ device and concurrently drawn venipuncture blood samples had highly congruent immune cell composition and phenotype. Shipment of Tasso+ samples via the United States Postal Service altered the myeloid compartment, but T cell numbers, subsets, and phenotypes remained remarkably stable compared with non-shipped samples. Finally, we describe a flow cytometry analysis framework that allowed for direct sample comparison even when samples were stained and analyzed over a time period of 1.5 years. Overall, our data highlight the feasibility of using ABCDs combined with subsequent flow cytometry analysis for remote immune monitoring. Additionally, our study also identifies areas that could be improved to further promote the use of ABCDs for immune monitoring.

Authors

Andrew J. Konecny, Fang Yun Lim, Eva Domenjo-Vila, Erika Lovas, Rachel L. Blazevic, Louise E. Kimball, Michael Boeckh, Alpana Waghmare, Martin Prlic

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Figure 5

Phenotypic states of T cells are largely congruent with and without shipment.

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Phenotypic states of T cells are largely congruent with and without ship...
(A–E) High-quality samples were used for phenotyping analysis: samples with greater than 70% viability, samples where the transit time of the shipped Tasso+ sample was less than 48 hours, and T cell subsets where there were 20 or more cells. Memory conventional CD4+ T cells (n = 12), memory conventional CD8+ T cells (n = 12), TCRgd T cells (n = 12), MAIT cells (n = 11), and Treg cells (n = 12). (A) Heatmap reporting the medians of phenotyping markers for T cell subsets from ACK-lysed whole blood drawn at the center with Tasso+ and processed immediately (Tasso) and ACK-lysed whole blood drawn at home with Tasso+ and shipped to the center (Tasso S). (B) Quantification and representative plots of CD103 for memory conventional CD4+ T cells and memory conventional CD8+ T cells, Granzyme B for TCRgd T cells and MAIT cells, and CD27 for Treg cells and TCRgd T cells. (C) Quantification of CD127 for MAIT cells and memory conventional CD4+ T cells and representative plots of Treg gating utilizing CD127. (D) Quantification and representative plots of ICOS for Treg cells and memory conventional CD4+ T cells. (E) Quantification and representative plot of CD69 for MAIT cells, memory conventional CD8+ T cells, and memory conventional CD4+ T cells. Data shown are from 2 independent experiments. Statistical analyses were performed using Wilcoxon’s signed-rank test.

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