Paper-based 3D cell culture platform for cholesterol efflux capacity assay

Elevated high-density lipoprotein (HDL) levels do not correlate with reduced cardiovascular disease risk, suggesting that measuring HDL levels is an inadequate biomarker. Consequently, cholesterol efflux capacity (CEC), also referred to as HDL function, has emerged as a more relevant indicator of atherosclerosis risk. Most conventional assays utilize two-dimensional (2D) cell culture, which does not accurately represent the in vivo microenvironment. In this study, a paper membrane scaffold was developed to form foam cells by culturing THP-1 cells on Whatman No. 1 paper. Differentiation of monocytes into macrophages, which serve as cholesterol donors, was achieved by treating the cells with 100 nM phorbol 12-myristate 13-acetate (PMA). The macrophages were treated with 50 mM BODIPY-cholesterol to induce foam cell formation. Cell adhesion between the cells and the fibrous paper was examined using environmental scanning electron microscopy (ESEM). CD marker expression in monocytes and macrophages was analyzed using fluorescence imaging. CEC was calculated as the percentage of BODIPY-cholesterol released relative to total cholesterol, based on fluorescence intensity (Ex 482 nm, Em 522 nm). The CEC values from 38 volunteers did not differ significantly from those obtained with the commercial cell-based method ( p < 0.0001). This paper-based THP-1-derived macrophage platform enables foam cell formation and CEC measurement.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-10-13
DOI
https://doi.org/10.1038/s41598-026-75215-7
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Paper-based 3D cell culture platform for cholesterol efflux capacity assay

Wanida Laiwattanapaisal, Akira Yoshimoto, Chengman Sun, Parichut Thummarati et al.
Scientific Reports
Biosensors and Analytical Detection
article

Paper-based 3D cell culture platform for cholesterol efflux capacity assay

Wanida Laiwattanapaisal, Akira Yoshimoto, Chengman Sun, Parichut Thummarati, Ryunosuke Ohkawa, Hanae Akiyama, Pitaksit Supjaroen, Pimploy Kanitsap
article en

Abstract

Elevated high-density lipoprotein (HDL) levels do not correlate with reduced cardiovascular disease risk, suggesting that measuring HDL levels is an inadequate biomarker. Consequently, cholesterol efflux capacity (CEC), also referred to as HDL function, has emerged as a more relevant indicator of atherosclerosis risk. Most conventional assays utilize two-dimensional (2D) cell culture, which does not accurately represent the in vivo microenvironment. In this study, a paper membrane scaffold was developed to form foam cells by culturing THP-1 cells on Whatman No. 1 paper. Differentiation of monocytes into macrophages, which serve as cholesterol donors, was achieved by treating the cells with 100 nM phorbol 12-myristate 13-acetate (PMA). The macrophages were treated with 50 mM BODIPY-cholesterol to induce foam cell formation. Cell adhesion between the cells and the fibrous paper was examined using environmental scanning electron microscopy (ESEM). CD marker expression in monocytes and macrophages was analyzed using fluorescence imaging. CEC was calculated as the percentage of BODIPY-cholesterol released relative to total cholesterol, based on fluorescence intensity (Ex 482 nm, Em 522 nm). The CEC values from 38 volunteers did not differ significantly from those obtained with the commercial cell-based method ( p < 0.0001). This paper-based THP-1-derived macrophage platform enables foam cell formation and CEC measurement.

Scientific Reports
Tokyo Medical and Dental University (JP), Chulalongkorn University (TH)
Graduate School, Chulalongkorn University, Chulalongkorn University, Thailand Science Research and Innovation, Faculty of Allied Health Sciences, Chulalongkorn University
Openalex Percentile: Top 24%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.