FluChip-8G Insight: HA and NA subtyping of potentially pandemic influenza A viruses in a single assay.
FluChip-8G Insight: HA and NA subtyping of potentially pandemic influenza A viruses in a single assay.
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FluChip-8G Insight：通过单次检测对潜在大流行的甲型流感病毒进行 HA 和 NA 亚型分析。
DOI：
10.1111/irv.12683
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发表时间：
2020
影响因子：
4.4
通讯作者：
Rowlen,Kathy
中科院分区：
文献类型：
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作者：
Toth,Evan;Dawson,EricaD;Taylor,AmberW;Stoughton,RobertS;Blair,RebeccaH;JohnsonJr,JamesE;Slinskey,Amelia;Fessler,Ryan;Smith,CatherineB;Talbot,Sarah;Rowlen,Kathy
背景对人类和动物的全球流感监测是大流行防范的一个关键组成部分。FluChip‐ 8 G Insight检测试剂盒的开发旨在通过一次检测对季节性和潜在大流行性流感病毒进行分型，并在同一天获得结果。FluChip‐ 8 G Insight使用基于全基因片段RT‐PCR的扩增来提供对遗传漂变的鲁棒性，随后通过基于人工神经网络的数据解释进行微阵列检测。ObjectiveThe objectivesthe study was to verify and validate the performance of FluChip‐ 8 G Insight assay for detection and positive identification of human and animal original non-seasonal influenza A samples.MethodsWe evaluated the ability of FluChip‐ 8 G Insight一个样本集，由来自180种独特的非季节性甲型流感病毒株的297个结果组成结果FluChip ‐ 8 G Insight显示5种靶向HA和5种靶向NA亚型的阳性百分比一致性≥93%，H9除外（88%），和阴性一致率超过95%结论基于FluChip‐ 8 G Insight神经网络的病毒识别算法在297例初治患者的数据集上表现良好。样品结果，并且可以很容易地更新，以提高对新出现的菌株的性能，而不改变基本的测定化学。
BackgroundGlobal influenza surveillance in humans and animals is a critical component of pandemic preparedness. The FluChip‐8G Insight assay was developed to subtype both seasonal and potentially pandemic influenza viruses in a single assay with a same day result. FluChip‐8G Insight uses whole gene segment RT‐PCR‐based amplification to provide robustness against genetic drift and subsequent microarray detection with artificial neural network‐based data interpretation.ObjectivesThe objective of this study was to verify and validate the performance of the FluChip‐8G Insight assay for the detection and positive identification of human and animal origin non‐seasonal influenza A specimens.MethodsWe evaluated the ability of the FluChip‐8G Insight technology to type and HA and NA subtype a sample set consisting of 297 results from 180 unique non‐seasonal influenza A strains (49 unique subtypes).ResultsFluChip‐8G Insight demonstrated a positive percent agreement ≥93% for 5 targeted HA and 5 targeted NA subtypes except for H9 (88%), and negative percent agreement exceeding 95% for all targeted subtypes.ConclusionsThe FluChip‐8G Insight neural network‐based algorithm used for virus identification performed well over a data set of 297 naïve sample results, and can be easily updated to improve performance on emerging strains without changing the underlying assay chemistry.