Literature DB >> 29144515

Detection of sepsis in patient blood samples using CD64 expression in a microfluidic cell separation device.

Ye Zhang1, Wenjie Li, Yun Zhou, Amanda Johnson, Amanda Venable, Ahmed Hassan, John Griswold, Dimitri Pappas.   

Abstract

A microfluidic affinity separation device was developed for the detection of sepsis in critical care patients. An affinity capture method was developed to capture cells based on changes in CD64 expression in a single, simple microfluidic chip for sepsis detection. Both sepsis patient samples and a laboratory CD64+ expression model were used to validate the microfluidic assay. Flow cytometry analysis showed that the chip cell capture had a linear relationship with CD64 expression in laboratory models. The Sepsis Chip detected an increase in upregulated neutrophil-like cells when the upregulated cell population is as low as 10% of total cells spiked into commercially available aseptic blood samples. In a proof of concept study, blood samples obtained from sepsis patients within 24 hours of diagnosis were tested on the chip to further validate its performance. On-chip CD64+ cell capture from 10 patient samples (619 ± 340 cells per chip) was significantly different from control samples (32 ± 11 cells per chip) and healthy volunteer samples (228 ± 95 cells per chip). In addition, the on-chip cell capture has a linear relationship with CD64 expression indicating our approach can be used to measure CD64 expression based on total cell capture on Sepsis Chip. Our method has proven to be sensitive, accurate, rapid, and cost-effective. Therefore, this device is a promising detection platform for neutrophil activation and sepsis diagnosis.

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Year:  2017        PMID: 29144515     DOI: 10.1039/c7an01471f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  4 in total

Review 1.  Point of care technologies for sepsis diagnosis and treatment.

Authors:  Taylor Oeschger; Duncan McCloskey; Varun Kopparthy; Ankur Singh; David Erickson
Journal:  Lab Chip       Date:  2019-02-26       Impact factor: 6.799

Review 2.  Biomarkers for Point-of-Care Diagnosis of Sepsis.

Authors:  Andrew Teggert; Harish Datta; Zulfiqur Ali
Journal:  Micromachines (Basel)       Date:  2020-03-10       Impact factor: 2.891

3.  Leukocyte function assessed via serial microlitre sampling of peripheral blood from sepsis patients correlates with disease severity.

Authors:  Bakr Jundi; Hyunryul Ryu; Do-Hyun Lee; Raja-Elie E Abdulnour; Braden D Engstrom; Melody G Duvall; Angelica Higuera; Mayra Pinilla-Vera; Maura E Benson; Jaemyon Lee; Nandini Krishnamoorthy; Rebecca M Baron; Jongyoon Han; Joel Voldman; Bruce D Levy
Journal:  Nat Biomed Eng       Date:  2019-11-11       Impact factor: 25.671

4.  Assessment of continuous neutrophil CD64 index measurement for diagnosing sepsis and predicting outcome in a Chinese pediatric intensive care unit: a prospective study.

Authors:  Wei Cui; Yuanyuan Xu; Hui Fang; Wenjia Tong; Liran Zhu; Danqun Jin; Haipeng Liu
Journal:  Transl Pediatr       Date:  2021-06
  4 in total

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