MIDAS: rapid, multiplexed molecular profiling for integrated host–pathogen analysis

Addressing the need for integrated molecular analysis in complex infectious conditions requires technologies that rapidly quantify both pathogens and host responses. This is particularly relevant in sepsis research, where existing tools typically measure either microbial or host biomarkers. Here, we present MIDAS (Multiplexed Intelligent Diffraction Analysis System), a proof-of-concept platform that integrates shape-encoded hydrogel particles with lens-free diffraction imaging and deep learning-based analysis to enable simultaneous quantification of bacterial RNA and inflammatory proteins in a single system optimized for potential point-of-care use. The assay completes multiplexed measurements in under 4 h, significantly faster than standard culture workflows ( ~ 20-40 h). Beyond spiked studies, MIDAS is evaluated using specimens from a clinically relevant porcine sepsis model, showing high concordance with culture, qPCR and ELISA. Although further clinical validation is required, this flexible platform may support the development of accessible host-pathogen profiling tools with broad applications in healthcare, agriculture, food safety, and beyond.

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Publication Details

Journal
Nature Communications
Published
2025-12-19
DOI
https://doi.org/10.1038/s41467-025-67391-3
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

MIDAS: rapid, multiplexed molecular profiling for integrated host–pathogen analysis

Cameron Gruich, Nicole R. Falkowski, Kathleen A. Stringer, Jouha Min et al.
Nature Communications
Orthopedic Infections and Treatments
article

MIDAS: rapid, multiplexed molecular profiling for integrated host–pathogen analysis

Cameron Gruich, Nicole R. Falkowski, Kathleen A. Stringer, Jouha Min, Bryan R. Goldsmith, Changheon Kim, Robert P. Dickson, Yong Jun Lim, Ki Wan Bong, Mohammad Asadi Tokmedash, Matthew J. Allen, Jun Hee Choi
article en

Abstract

Addressing the need for integrated molecular analysis in complex infectious conditions requires technologies that rapidly quantify both pathogens and host responses. This is particularly relevant in sepsis research, where existing tools typically measure either microbial or host biomarkers. Here, we present MIDAS (Multiplexed Intelligent Diffraction Analysis System), a proof-of-concept platform that integrates shape-encoded hydrogel particles with lens-free diffraction imaging and deep learning-based analysis to enable simultaneous quantification of bacterial RNA and inflammatory proteins in a single system optimized for potential point-of-care use. The assay completes multiplexed measurements in under 4 h, significantly faster than standard culture workflows ( ~ 20-40 h). Beyond spiked studies, MIDAS is evaluated using specimens from a clinically relevant porcine sepsis model, showing high concordance with culture, qPCR and ELISA. Although further clinical validation is required, this flexible platform may support the development of accessible host-pathogen profiling tools with broad applications in healthcare, agriculture, food safety, and beyond.

Nature CommunicationsVol. 17(1)
Korea University (KR), University of Michigan (US), Massachusetts General Hospital (US), Ann Arbor Center for Independent Living (US), Center for Systems Biology (US), Korea University (JP)
Lefkofsky Family Foundation, National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, National Institutes of Health
Openalex Percentile: Top 39%
Orthopedic Infections and Treatments
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