Issue 22, 2023

Investigating influences of intravenous fluids on HUVEC and U937 monocyte cell lines using the magnetic levitation method

Abstract

Intravenous fluids are being widely used in patients of all ages for preventing or treating dehydration in the intensive care units, surgeries in the operation rooms, or administering chemotherapeutic drugs at hospitals. Dextrose, Ringer, and NaCl solutions are widely received as intravenous fluids by hospitalized patients. Despite their widespread administration for over 100 years, studies on their influences on different cell types have been very limited. Increasing evidence suggests that treatment outcomes might be altered by the choice of the administered intravenous fluids. In this study, we investigated the influences of intravenous fluids on human endothelial (HUVEC) and monocyte (U937) cell lines using the magnetic levitation technique. Our magnetic levitation platform provides label-free manipulation of single cells without altering their phenotypic or genetic properties. It allows for monitoring and quantifying behavior of single cells by measuring their levitation heights, deformation indices, and areas. Our results indicate that HUVEC and U937 cell lines respond differently to different intravenous fluids. Dextrose solution decreased the viability of both cell lines while increasing the heterogeneity of areas, deformation, and levitation heights of HUVEC cells. We strongly believe that improved outcomes can be achieved when the influences of intravenous fluids on different cell types are revealed using robust, label-free, and efficient methods.

Graphical abstract: Investigating influences of intravenous fluids on HUVEC and U937 monocyte cell lines using the magnetic levitation method

Supplementary files

Article information

Article type
Paper
Submitted
30 Jul 2023
Accepted
08 Oct 2023
First published
10 Oct 2023

Analyst, 2023,148, 5588-5596

Investigating influences of intravenous fluids on HUVEC and U937 monocyte cell lines using the magnetic levitation method

S. Kecili, S. V. Kaymaz, B. Ozogul, H. C. Tekin and M. Elitas, Analyst, 2023, 148, 5588 DOI: 10.1039/D3AN01304A

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