An Automated Versatile Diagnostic Workflow for Infectious Disease Detection in Low-Resource Settings

Author:

Urrutia Iturritza Miren12,Mlotshwa Phuthumani1ORCID,Gantelius Jesper12,Alfvén Tobias1ORCID,Loh Edmund3ORCID,Karlsson Jens3ORCID,Hadjineophytou Chris3,Langer Krzysztof2,Mitsakakis Konstantinos45ORCID,Russom Aman2,Jönsson Håkan N.2,Gaudenzi Giulia12ORCID

Affiliation:

1. Department of Global Public Health, Karolinska Institutet, 17177 Stockholm, Sweden

2. Science for Life Laboratory, Division of Nanobiotechnology, Department of Protein Science, KTH Royal Institute of Technology, 17165 Stockholm, Sweden

3. Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden

4. Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany

5. Laboratory for MEMS Applications, IMTEK–Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79108 Freiburg, Germany

Abstract

Laboratory automation effectively increases the throughput in sample analysis, reduces human errors in sample processing, as well as simplifies and accelerates the overall logistics. Automating diagnostic testing workflows in peripheral laboratories and also in near-patient settings -like hospitals, clinics and epidemic control checkpoints- is advantageous for the simultaneous processing of multiple samples to provide rapid results to patients, minimize the possibility of contamination or error during sample handling or transport, and increase efficiency. However, most automation platforms are expensive and are not easily adaptable to new protocols. Here, we address the need for a versatile, easy-to-use, rapid and reliable diagnostic testing workflow by combining open-source modular automation (Opentrons) and automation-compatible molecular biology protocols, easily adaptable to a workflow for infectious diseases diagnosis by detection on paper-based diagnostics. We demonstrated the feasibility of automation of the method with a low-cost Neisseria meningitidis diagnostic test that utilizes magnetic beads for pathogen DNA isolation, isothermal amplification, and detection on a paper-based microarray. In summary, we integrated open-source modular automation with adaptable molecular biology protocols, which was also faster and cheaper to perform in an automated than in a manual way. This enables a versatile diagnostic workflow for infectious diseases and we demonstrated this through a low-cost N. meningitidis test on paper-based microarrays.

Funder

Swedish Research Council (Vetenskapsrådet) Development Research Network

International post-doc

European Commission Horizon Europe Research and Innovation Program

SLS project

Publisher

MDPI AG

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