Sample-Sparing Multiplexed Antibody Fc Biomarker Discovery Using a Reconfigurable Integrated Microfluidic Platform

Abstract

Control of endemic infectious diseases is often impeded by the lack of sensitive and specific yet easy-to-obtain biomarkers. Antibody fragment crystallizable (Fc) region, such as Fc glycosylation, which are modulated in a pathogen-specific and disease-state specific manner have emerged as potential such biomarkers. However current methods to perform large scale antigen-specific antibody Fc feature screening for biomarker discovery often require too much sample volume, cost and expertise to be realistically doable in many disease contexts. Here we present a simple, flexible and reconfigurable, microfluidic device, made using rapid prototyping techniques, that can perform highly multiplexed and high-throughput biomarker discovery targeting both antibody fragment antigen-binding (Fab) and Fc features including antigen-specificity, antibody isotypes, subclasses, N-glycosylation and Fc receptor binding. Using integration of an antigen microarray and reconfigurable microfluidics for sample and probe distribution, the device can perform a total of 1400 assays measuring 100 antibody Fab and Fc features per sample from a low sample volume (15µl). The device demonstrates cleanroom-free simple fabrication and ease of use comparable to standard immunoassay platforms. Performance comparable to existing methods was validated and a biomarker screening for schistosomiasis, a helminth-mediated infection, was performed using clinical samples where antibody subclass-based biomarkers were successfully identified distinguishing current infection from former infection and endemic controls.

Supplementary files

Article information

Article type
Paper
Submitted
13 Jan 2025
Accepted
28 Mar 2025
First published
01 Apr 2025
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2025, Accepted Manuscript

Sample-Sparing Multiplexed Antibody Fc Biomarker Discovery Using a Reconfigurable Integrated Microfluidic Platform

H. Zhang, D. Bhakta, A. Saha, S. P. Peddireddy, S. Bao, L. Li, S. Handali, W. E. Secor, L. Fraga, J. Fairley and A. Sarkar, Lab Chip, 2025, Accepted Manuscript , DOI: 10.1039/D5LC00042D

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