Label-free neutrophil enrichment from patient-derived airway secretion using closed-loop inertial microfluidics

Hyunryul Ryu, Kyungyong Choi, Yanyan Qu, Taehong Kwon, Janet S. Lee, Jongyoon Han

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Airway secretions contain a large number of immune-related cells, e.g., neutrophils, macrophages, and lymphocytes, which can be used as a major resource to evaluate a variety of pulmonary diseases, both for research and clinical purposes. However, due to the heterogeneous and viscous nature of patient mucus, there is currently no reliable dissociation method that does not damage the host immune cells in the patient airway secretion. In this research, we introduce a sample preparation method that uses inertial microfluidics for the patient's immune assessment. Regardless of the heterogeneous fluidic properties of the clinical samples, the proposed method recovers more than 95% of neutrophils from airway secretion samples that are diluted 1,000-fold with milliliters of clean saline. By recirculating the concentrated output stream to the initial sample reservoir, a high concentration, recovery, and purity of the immune cells are provided; recirculation is considered a trade-off to the single-run syringe-based operation of inertial microfluidics. The closed-loop operation of spiral microfluidics provides leukocytes without physical or chemical disturbance, as demonstrated by the phorbol 12-myristate 13-acetate (PMA)-induced elastase release of sorted neutrophils.

Original languageEnglish
Article numbere57673
JournalJournal of Visualized Experiments
Volume2018
Issue number136
DOIs
StatePublished - Jun 7 2018

Keywords

  • Airway secretion
  • Heterogeneous biofluid
  • Immunology and Infection
  • Inertial microfluidics
  • Issue 136
  • Label-free cell sorting
  • Neutrophil enrichment
  • Patient sample preparation

Fingerprint

Dive into the research topics of 'Label-free neutrophil enrichment from patient-derived airway secretion using closed-loop inertial microfluidics'. Together they form a unique fingerprint.

Cite this