scholarly journals A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells

2019 ◽  
Vol 271 ◽  
pp. 113672 ◽  
Author(s):  
Simon Bystryak ◽  
Rajiv P. Bandwar ◽  
Rasa Santockyte
2021 ◽  
Vol 188 (12) ◽  
Author(s):  
Sang-Hyun Hwang ◽  
John Jeongseok Yang ◽  
Yoon-Hee Oh ◽  
Dae-Hyun Ko ◽  
Heungsup Sung ◽  
...  

Abstract Affordable point-of-care (POC) CD4 + T lymphocyte counting techniques have been developed as alternatives to flow cytometry-based instruments caring for patients with human immunodeficiency virus (HIV)-1. However, POC CD4 enumeration technologies can be inaccurate. Here, we developed a microparticle-based visual detector of CD4 + T lymphocytes (ImmunoSpin) using microparticles conjugated with anti-CD4 antibodies, independent of microfluidic or fluorescence detection systems. Visual enumeration of CD4 + T cells under conventional light microscope was accurate compared to flow cytometry. Microparticle-tagged CD4 + T cells were well-recognized under a light microscope. ImmunoSpin showed very good precision (coefficients of variation of ImmunoSpin were ≤ 10%) and high correlation with clinical-grade flow cytometry for the enumeration of CD4 + T cells (y = 0.4232 + 0.9485 × for the %CD4 + T cell count, R2 = 0.99). At thresholds of 200 and 350 cells/µL, there was no misclassification of the ImmunoSpin system compared to the reference flow cytometry. ImmunoSpin showed clear differential classification of CD4 + T lymphocytes from granulocytes and monocytes. Because non-fluorescence microparticle-tags and cytospin slides are used in ImmunoSpin, they can be applied to an automatic digital image analyzer. Slide preparation allows long-term storage, no analysis time limitations, and image transfer in remote areas. Graphical abstract


2020 ◽  
Author(s):  
Manyun Xie ◽  
Yan Yang

Background: Previous studies have indicated that Sirtuin 1 (Sirt1) plays an important role in suppressing inflammatory responses in many diseases. However, the Sirt1 levels and role of Sirt1 in ocular Behcet’s disease (OBD) have not been fully elucidated. Objective: To investigate the role of Sirt1 in the pathogenesis of OBD. Methods: Sirt1 and cytokine levels were measured using enzyme-linked immunosorbent assay (ELISA). Cell viability was determined using the Cell Counting Kit-8. The frequencies of Th17 and Th22 cells were detected using flow cytometry. Results: We found decreased expression of Sirt1 in CD4+ T cells obtained from patients with active OBD. SRT1720, an agonist of Sirt1, significantly upregulated Sirt1 expression in CD4+ T cells from patients with active OBD. Sirt1 activation by SRT1720 significantly suppressed the production of interleukin (IL)-17 and IL-22 by CD4+ T cells and inhibited the expansion of Th17 and Th22 cells. Conclusion: Our results suggest that decreased Sirt1 expression might be involved in the pathogenesis of OBD and that activation of Sirt1 might be considered a potential target for OBD.


2009 ◽  
Vol 31 (2) ◽  
pp. 169-179 ◽  
Author(s):  
C. BRIGGS ◽  
S. MACHIN ◽  
M. MÜLLER ◽  
W. HAASE ◽  
K. HOFMANN ◽  
...  
Keyword(s):  
T Cells ◽  

2020 ◽  
Vol 14 (1) ◽  
pp. 50-60
Author(s):  
Simon Bystryak ◽  
Chitrangada Acharya ◽  
Kyle Dobiszewski ◽  
Hongying Zhu ◽  
Rajiv P. Bandwar

Background: Despite the emphasis on viral load testing, current HIV testing guidelines consider CD4 T-cell count measurement as an important criterion for assessing disease progression, making decisions about anti-retroviral therapy regime changes, and treating HIV infected individuals with opportunistic infections. The CD4 counting by established methods (e.g., flow cytometry) presents challenges not only in resource-scarce settings due to cost and lack of skilled technicians but also in resource-rich areas where it is limited to centralized facilities. Objective: Current options for Point-Of-Care (POC) CD4 enumeration are few and labor-intensive, prompting the need for newer technological methods that can overcome the aforementioned challenges. Methods: The novel and patented flow-through cell counting assay (FTCA) described previously (Bystryak et al., 2019) was developed further into a point-of-care CD4 testing system using a disposable cartridge device and a portable imaging instrument. A pilot study with ~100 samples using this device was conducted to assess the validity of FTCA as a POC test for the measurement of CD4 count. Results: The FTCA signal was found to be linear over a wide range (17 - 1540 cells/μL) of CD4 T-cell concentration. The FTCA method also exhibits a strong agreement with flow cytometry, with very low bias (− 7 cells/μL) towards CD4 count measurement. Conclusion: The cartridge-based FTCA method has great potential to be a fully quantitative method with low complexity, portability, low-cost, and wide applicability in clinical practice.


2021 ◽  
Vol 11 (21) ◽  
pp. 9786
Author(s):  
Ngoc Duc Vo ◽  
Anh Thi Van Nguyen ◽  
Hoi Thi Le ◽  
Nam Hoang Nguyen ◽  
Huong Thi Thu Pham

Frequent tests for CD4+ T cell counting are important for the treatment of patients with immune deficiency; however, the routinely used fluorescence-activated cell-sorting (FACS) gold standard is costly and the equipment is only available in central hospitals. In this study, we developed an alternative simple approach (shortly named as the MACS-Countess system) for CD4+ T cell counting by coupling magnetic activated cell sorting (MACS) to separate CD4+ T cells from blood, followed by counting the separated cells using CountessTM, an automated cell-counting system. Using the cell counting protocol, 25 µL anti-CD4 conjugated magnetic nanoparticles (NP-CD4, BD Bioscience) were optimized for separating CD4+ T cells from 50 µL of blood in PBS using a DynamagTM-2 magnet, followed by the introduction of 10 µL separated cells into a CountessTM chamber slide for automated counting of CD4+ T cells. To evaluate the reliability of the developed method, 48 blood samples with CD4+ T cell concentrations ranging from 105 to 980 cells/µL were analyzed using both MACS-Countess and FACS. Compared with FACS, MACS-Countess had a mean bias of 3.5% with a limit of agreement (LoA) ranging from −36.4% to 43.3%, which is close to the reliability of the commercial product, PIMA analyzer (Alere), reported previously (mean bias 0.2%; LoA ranging from −42% to 42%, FACS as reference). Further, the MACS-Countess system requires very simple instruments, including only a magnet and an automated cell counter, which are affordable for almost every lab located in a limited resource region.


2001 ◽  
Vol 120 (5) ◽  
pp. A192-A192
Author(s):  
H TAKAISHI ◽  
T DENNING ◽  
K ITO ◽  
R MIFFLIN ◽  
P ERNST

2001 ◽  
Vol 120 (5) ◽  
pp. A321-A321
Author(s):  
A KHORUTS ◽  
K THORSTENSON
Keyword(s):  
T Cells ◽  

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