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预测日本诺如病毒流行季节中的优势基因型

Predicting Dominant Genotypes in Norovirus Seasons in Japan.

作者信息

Suzuki Yoshiyuki

机构信息

Graduate School of Science, Nagoya City University, 1 Yamanohata, Nagoya-shi, Aichi-ken 467-8501, Japan.

出版信息

Life (Basel). 2023 Jul 27;13(8):1634. doi: 10.3390/life13081634.

Abstract

Human noroviruses are an etiological agent of acute gastroenteritis. Since multiple genotypes co-circulate every season changing their proportions, it may be desirable to develop multivalent vaccines by formulating genotype composition of seed strains to match that of dominant strains. Here, performances of the models for predicting dominant genotypes, defined as the two most prevalent genotypes, were evaluated using observed genotype frequencies in Japan and genomic sequences for GI and GII strains. In the null model, genotype proportions in the target season were predicted to be the same as those in the immediately preceding season. In the fitness model, genotype proportions were predicted taking into account the acquisition of novel P-types through recombination and genotype-specific proliferation efficiency, as well as herd immunity to VP1 assuming the duration () of 0-10 years. The null model performed better in GII than in GI, apparently because dominant genotypes were more stable in the former than in the latter. Performance of the fitness model was similar to that of the null model irrespective of the assumed value of . However, performance was improved when dominant genotypes were predicted as the union of those predicted with = 0-10, suggesting that may vary among individuals.

摘要

人诺如病毒是急性胃肠炎的病原体。由于每个季节都有多种基因型共同流行且比例不断变化,因此通过配制种子株的基因型组成以匹配优势株的基因型组成来开发多价疫苗可能是可取的。在此,利用日本观察到的基因型频率以及GI和GII株的基因组序列,评估了预测优势基因型(定义为两种最流行的基因型)的模型的性能。在零模型中,目标季节的基因型比例被预测为与紧接在前的季节相同。在适应度模型中,预测基因型比例时考虑了通过重组获得新的P型、基因型特异性增殖效率以及假设持续时间()为0至10年时对VP1的群体免疫。零模型在GII中的表现优于GI,显然是因为优势基因型在前者中比在后者中更稳定。无论假设的 值如何,适应度模型的性能与零模型相似。然而,当将优势基因型预测为 = 0至10时预测的那些基因型的并集时,性能得到了改善,这表明 可能因人而异。

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Norovirus Vaccine: Priorities for Future Research and Development.诺如病毒疫苗:未来研发的重点。
Front Immunol. 2020 Jul 7;11:1383. doi: 10.3389/fimmu.2020.01383. eCollection 2020.

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