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000274431 037__ $$aDKFZ-2023-00595
000274431 041__ $$aEnglish
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000274431 1001_ $$aLou, Dan$$b0
000274431 245__ $$aScalable RT-LAMP-based SARS-CoV-2 testing for infection surveillance with applications in pandemic preparedness.
000274431 260__ $$aHoboken, NJ [u.a.]$$bWiley$$c2023
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000274431 500__ $$a#LA:A260# / 2023 May 4;24(5):e57162
000274431 520__ $$aThroughout the SARS-CoV-2 pandemic, limited diagnostic capacities prevented sentinel testing, demonstrating the need for novel testing infrastructures. Here, we describe the setup of a cost-effective platform that can be employed in a high-throughput manner, which allows surveillance testing as an acute pandemic control and preparedness tool, exemplified by SARS-CoV-2 diagnostics in an academic environment. The strategy involves self-sampling based on gargling saline, pseudonymized sample handling, automated RNA extraction, and viral RNA detection using a semiquantitative multiplexed colorimetric reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay with an analytical sensitivity comparable with RT-qPCR. We provide standard operating procedures and an integrated software solution for all workflows, including sample logistics, analysis by colorimetry or sequencing, and communication of results. We evaluated factors affecting the viral load and the stability of gargling samples as well as the diagnostic sensitivity of the RT-LAMP assay. In parallel, we estimated the economic costs of setting up and running the test station. We performed > 35,000 tests, with an average turnover time of < 6 h from sample arrival to result announcement. Altogether, our work provides a blueprint for fast, sensitive, scalable, cost- and labor-efficient RT-LAMP diagnostics, which is independent of potentially limiting clinical diagnostics supply chains.
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000274431 650_7 $$2Other$$aCOVID-19 tests
000274431 650_7 $$2Other$$aRT-LAMP
000274431 650_7 $$2Other$$acorona tests
000274431 650_7 $$2Other$$apandemic preparedness
000274431 650_7 $$2Other$$asurveillance testing
000274431 7001_ $$aMeurer, Matthias$$b1
000274431 7001_ $$aOvchinnikova, Svetlana$$b2
000274431 7001_ $$aBurk, Robin$$b3
000274431 7001_ $$aDenzler, Anna$$b4
000274431 7001_ $$aHerbst, Konrad$$b5
000274431 7001_ $$00000-0002-8055-4024$$aPapaioannou, Ioannis A$$b6
000274431 7001_ $$00000-0002-4644-9706$$aDuan, Yuanqiang$$b7
000274431 7001_ $$aJacobs, Max L$$b8
000274431 7001_ $$00000-0002-0372-6005$$aWitte, Victoria$$b9
000274431 7001_ $$aÜrge, Daniel$$b10
000274431 7001_ $$0P:(DE-He78)64436015382a1ba9cb1a84ebdba44850$$aKirrmaier, Daniel$$b11$$udkfz
000274431 7001_ $$aKrogemann, Michelle$$b12
000274431 7001_ $$0P:(DE-He78)8edd070d4a53d61b6042b99a38d69435$$aGubicza, Krisztina$$b13$$udkfz
000274431 7001_ $$00000-0001-7705-9375$$aBoerner, Kathleen$$b14
000274431 7001_ $$aBundschuh, Christian$$b15
000274431 7001_ $$aWeidner, Niklas M$$b16
000274431 7001_ $$aMerle, Uta$$b17
000274431 7001_ $$aKnorr, Britta$$b18
000274431 7001_ $$aWelker, Andreas$$b19
000274431 7001_ $$00000-0002-7216-7067$$aDenkinger, Claudia M$$b20
000274431 7001_ $$aSchnitzler, Paul$$b21
000274431 7001_ $$aKräusslich, Hans-Georg$$b22
000274431 7001_ $$00000-0003-2293-3592$$aDao Thi, Viet Loan$$b23
000274431 7001_ $$00000-0002-8677-1337$$aDe Allegri, Manuela$$b24
000274431 7001_ $$00000-0001-9626-2934$$aNguyen, Hoa Thi$$b25
000274431 7001_ $$00000-0003-0526-6249$$aDeckert, Andreas$$b26
000274431 7001_ $$00000-0003-4868-1805$$aAnders, Simon$$b27
000274431 7001_ $$0P:(DE-He78)03ae15a30a7fa7191475148bf4e7f581$$aKnop, Michael$$b28$$eLast author$$udkfz
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