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甲型流感病毒基因组中人 TLR7/8 刺激三聚体组成的比较研究。

A comparative study of human TLR 7/8 stimulatory trimer compositions in influenza A viral genomes.

机构信息

Department of Microbiology, Soochow University, Shih-Lin, Taipei, Taiwan, Republic of China.

出版信息

PLoS One. 2012;7(2):e30751. doi: 10.1371/journal.pone.0030751. Epub 2012 Feb 17.

Abstract

BACKGROUND

Variation in the genomes of single-stranded RNA viruses affects their infectivity and pathogenicity in two ways. First, viral genome sequence variations lead to changes in viral protein sequences and activities. Second, viral genome sequence variation produces diversity at the level of nucleotide composition and diversity in the interactions between viral RNAs and host toll-like receptors (TLRs). A viral genome-typing method based on this type of diversity has not yet been established.

METHODOLOGY/PRINCIPAL FINDINGS: In this study, we propose a novel genomic trait called the "TLR stimulatory trimer composition" (TSTC) and two quantitative indicators, Score S and Score N, named "TLR stimulatory scores" (TSS). Using the complete genome sequences of 10,994 influenza A viruses (IAV) and 251 influenza B viruses, we show that TSTC analysis reveals the diversity of Score S and Score N among the IAVs isolated from various hosts. In addition, we show that low values of Score S are correlated with high pathogenicity and pandemic potential in IAVs. Finally, we use Score S and Score N to construct a logistic regression model to recognize IAV strains that are highly pathogenic or have high pandemic potential.

CONCLUSIONS/SIGNIFICANCE: Results from the TSTC analysis indicate that there are large differences between human and avian IAV genomes (except for segment 3), as illustrated by Score S. Moreover, segments 1, 2, 3 and 4 may be major determinants of the stimulatory activity exerted on human TLRs 7 and 8. We also find that a low Score S value is associated with high pathogenicity and pandemic potential in IAV. The π value from the TSS-derived logistic regression model is useful for recognizing emerging IAVs that have high pathogenicity and pandemic potential.

摘要

背景

单链 RNA 病毒基因组的变异以两种方式影响其感染力和致病性。首先,病毒基因组序列的变异导致病毒蛋白序列和活性的变化。其次,病毒基因组序列的变异产生核苷酸组成水平的多样性和病毒 RNA 与宿主 Toll 样受体 (TLR) 之间相互作用的多样性。基于这种多样性的病毒基因组分型方法尚未建立。

方法/主要发现:在这项研究中,我们提出了一种新的基因组特征,称为“TLR 刺激三聚体组成”(TSTC),以及两个定量指标,称为“TLR 刺激评分”(TSS)的“TLR 刺激评分”(Score S 和 Score N)。利用 10994 株甲型流感病毒(IAV)和 251 株乙型流感病毒的全基因组序列,我们表明 TSTC 分析揭示了来自不同宿主的 IAV 之间 Score S 和 Score N 的多样性。此外,我们表明低 Score S 值与 IAV 的高致病性和大流行潜力相关。最后,我们使用 Score S 和 Score N 构建逻辑回归模型来识别高致病性或高大流行潜力的 IAV 株。

结论/意义:TSTC 分析的结果表明,人源和禽源 IAV 基因组之间存在很大差异(除了节 3),如 Score S 所示。此外,节 1、2、3 和 4 可能是对人 TLR7 和 8 产生刺激活性的主要决定因素。我们还发现低 Score S 值与 IAV 的高致病性和大流行潜力相关。TSS 衍生的逻辑回归模型的π值有助于识别具有高致病性和大流行潜力的新型 IAV。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/3281872/9ca7cefa75ea/pone.0030751.g001.jpg

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