Evidence map›Paper›PMID 31088488›Full record

ArticleJournal of translational medicine2019

A microarray-based pathogen chip for simultaneous molecular detection of transfusion-transmitted infectious agents.

Valeria De Giorgi, Huizhi Zhou, Harvey J Alter, Robert D Allison

Abstract read
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Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Valeria De GiorgiInfectious Diseases Section, Department of Transfusion Medicine, National Institutes of Health Clinical Center, Building 10, Room 1C711, 10 Center Drive, Bethesda, MD, 20892, USA. degiorgiv@nih.gov.ORCID 0000-0001-5296-8628
Huizhi ZhouInfectious Diseases Section, Department of Transfusion Medicine, National Institutes of Health Clinical Center, Building 10, Room 1C711, 10 Center Drive, Bethesda, MD, 20892, USA.
Harvey J AlterInfectious Diseases Section, Department of Transfusion Medicine, National Institutes of Health Clinical Center, Building 10, Room 1C711, 10 Center Drive, Bethesda, MD, 20892, USA.
Robert D AllisonInfectious Diseases Section, Department of Transfusion Medicine, National Institutes of Health Clinical Center, Building 10, Room 1C711, 10 Center Drive, Bethesda, MD, 20892, USA.

Funding

Transfusion-related Infections Prospectively Studied (TRIPS)ZIACL002110 · CLC · CLINICAL CENTER · PI DE GIORGI, VALERIA · 2009 to 2025
$0k
6 · The paper itself

Abstract

backgroundNew and emerging transfusion-transmitted infections remain a threat to the blood supply. Blood donors are currently screened for less than half of known agents, primarily by individual tests. A screening platform that could simultaneously detect all known transfusion-transmitted pathogens and allow rapid addition of new targets would significantly increase blood safety and could improve the response to new agents. We describe the early stage development and validation of a microarray-based platform (pathogen chip) for simultaneous molecular detection of transfusion-transmitted RNA viruses.

methodsSixteen RNA viruses that pose a significant risk for transfusion-transmission were selected for inclusion on the pathogen chip. Viruses were targeted for detection by 1769 oligonucleotide probes selected by Agilent eArray software. Differentially concentrated positive plasma samples were used to evaluate performance and limits of detection in the context of individual pathogens or combinations to simulate coinfection. RNA-viruses detection and concentration were validated by RT-qPCR.

resultsHepatitis A, B and C, Chikungunya, dengue 1-4, HIV 1-2, HTLV I-II, West Nile and Zika viruses were all correctly identified by the pathogen chip within the range of 10

conclusionsThis microarray-based multi-pathogen screening platform accurately and reproducibly detected individual and mixed RNA viruses in one test from single samples with limits of detection as low as 10

Indexed as

Blood TransfusionOligonucleotide Array Sequence AnalysisHumansReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA VirusesTransfusion ReactionBlood donor screeningBlood safetyMicroarrayRNA virusTransfusion–transmitted infections

Identifiers

PMID31088488
PMCPMC6518760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.