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

被引:0
|
作者
Urrutia Iturritza, Miren [1 ,2 ]
Mlotshwa, Phuthumani [1 ]
Gantelius, Jesper [1 ,2 ]
Alfven, Tobias [1 ]
Loh, Edmund [3 ]
Karlsson, Jens [3 ]
Hadjineophytou, Chris [3 ]
Langer, Krzysztof [2 ]
Mitsakakis, Konstantinos [4 ,5 ]
Russom, Aman [2 ]
Joensson, Hakan N. [2 ]
Gaudenzi, Giulia [1 ,2 ]
机构
[1] Karolinska Inst, Dept Global Publ Hlth, S-17177 Stockholm, Sweden
[2] KTH Royal Inst Technol, Dept Prot Sci, Div Nanobiotechnol, Sci Life Lab, S-17165 Stockholm, Sweden
[3] Karolinska Inst, Dept Microbiol Tumor & Cell Biol, S-17165 Stockholm, Sweden
[4] Hahn Schickard, Georges Koehler Allee 103, D-79110 Freiburg, Germany
[5] Univ Freiburg, IMTEK Dept Microsyst Engn, Lab MEMS Applicat, Georges Koehler Allee 103, D-79108 Freiburg, Germany
基金
瑞典研究理事会;
关键词
modular automation; open-source; recombinase polymerase amplification; microarray; signal enhancement; infectious diseases; MICROBIOLOGY;
D O I
10.3390/mi15060708
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
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页数:14
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