Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation

Du, Xiangjun; Dong, Libo; Lan, Yu; Peng, Yousong; Wu, Aiping; Zhang, Ye; Huang, Weijuan; Wang, Dayang; Wang, Min; Guo, Yuan‐ji; Shu, Yuelong; Jiang, Taijiao

doi:10.1038/ncomms1710

Cited by 105 publications

(133 citation statements)

References 47 publications

Supporting

Mentioning

117

Contrasting

Unclassified

Order By: Relevance

“…Moreover, we find that the inhibitory binding is mainly mediated by the hydrophobic interactions between the PB1c and PB1 731-757 . This is different from the inhibitory mechanism of the interfacial peptides PB1 1-25 and PB2 [1][2][3][4][5][6][7][8][9][10][11][12] , which inhibit complex assembly by binding to its interaction partner PAc or PB1c, respectively [15,17,[23][24][25][26]34]. Similar to the findings of the present study, an inhibitory mechanism has been reported for Ro26-4550 with respect to interfering with the interaction between interleukin-2 (IL-2) and its receptor (IL-2Ra).…”

Section: Discussioncontrasting

confidence: 49%

A peptide derived from the C‐terminus of PB1 inhibits influenza virus replication by interfering with viral polymerase assembly

et al. 2013

The FEBS Journal

Self Cite

View full text Add to dashboard Cite

Efficient assembly of the influenza virus RNA-dependent RNA polymerase, a heterotrimeric complex formed by three subunits (PA, PB1 and PB2) is critical for virus replication and pathogenicity. Therefore, interfering with the assembly of the RNA-dependent RNA polymerase complex could offer novel and effective anti-influenza therapeutics. In the present study, we show that a short peptide derived from amino acids 731-757 of PB1 (PB1 ) can disrupt the interaction between the C-terminal part of PB1 (denoted as PB1c corresponding to PB1 ) and the N-terminal part of PB2 (denoted as PB2n corresponding to PB2 1-40 ). We further show that PB1 731-757 is capable of inhibiting viral polymerase activity and viral replication. Interestingly, we find that PB1 731-757 interacts with PB1c rather than PB2n. Furthermore, mutational analyses show that the hydrophobic sites of PB1c play an essential role in the PB1c-PB1 731-757 interaction. The characterization of the inhibitory effect of PB1 731-757 on viral polymerase activity and viral replication could offer a potential target for anti-influenza drug development. Structured digital abstract

show abstract

Section: Discussioncontrasting

confidence: 49%

A peptide derived from the C‐terminus of PB1 inhibits influenza virus replication by interfering with viral polymerase assembly

et al. 2013

The FEBS Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since the vaccine also contains antigens for influenza A viruses, the optimal vaccine strategy also depends on the timing of influenza A virus activity. While we do not have any information on the seasonality of influenza A virus circulation in Guangzhou, other Southern Chinese cities experience influenza A virus activity in late spring, which would justify the suggested vaccine strategy (20,47,48). Although the emergence of the A/H1N1 pandemic virus in 2009 could have affected the seasonality of influenza B virus circulation in our Guangzhou study, past laboratory surveillance data suggest that seasonal influenza virus typically circulates in warmer months in this region (20,47,48).…”

Section: Discussionmentioning

confidence: 82%

“…While we do not have any information on the seasonality of influenza A virus circulation in Guangzhou, other Southern Chinese cities experience influenza A virus activity in late spring, which would justify the suggested vaccine strategy (20,47,48). Although the emergence of the A/H1N1 pandemic virus in 2009 could have affected the seasonality of influenza B virus circulation in our Guangzhou study, past laboratory surveillance data suggest that seasonal influenza virus typically circulates in warmer months in this region (20,47,48). It is well known that influenza B virus predominantly infects children and young teenagers, in contrast to influenza A virus (especially A/H3N2) (28,49,50).…”

Section: Discussionmentioning

confidence: 98%

Differing Epidemiological Dynamics of Influenza B Virus Lineages in Guangzhou, Southern China, 2009-2010

Tan

Guan

Lam

et al. 2013

J Virol

View full text Add to dashboard Cite

The epidemiological and evolutionary dynamics of the two cocirculating lineages of influenza B virus, Victoria and Yamagata, are poorly understood, especially in tropical or subtropical areas of Southeast Asia. We performed a phylogenetic analysis of the hemagglutinin (HA) and neuraminidase (NA) sequences of influenza B viruses isolated in Guangzhou, a southern Chinese city, during 2009 to 2010 and compared the demographic and clinical features of infected patients. We identified multiple viral introductions of Victoria strains from both Chinese and international sources, which formed two phylogenetically and antigenically distinct clades (Victoria 1 and 2), some of which persisted between seasons. We identified one dominant Yamagata introduction from outside China during 2009. Our phylogenetic analysis reveals the occurrence of reassortment events among the Victoria and Yamagata lineages and also within the Victoria lineage. We found no significant difference in clinical severity by influenza B lineage, with the exceptions that (i) the Yamagata lineage infected older people than either Victoria lineage and (ii) fewer upper respiratory tract infections were caused by the Victoria 2 than the Victoria 1 clade. Overall, our study reveals the complex epidemiological dynamics of different influenza B lineages within a single geographic locality and has implications for vaccination policy in southern China.

show abstract

“…Du et al (55) used HI assay data to learn parameters for a sequence property-derived assessment of antigenic similarity of viral strains, showing that this allows determination of antigenically similar strains; however, they did not show a validation of their method in a realistic setting for determining suitable vaccine strains as we have done here, where strains available up to a year X are used to make predictions for the year X ϩ 1. Instead, they based their predictions for season 2002-2003 to season 2008-2009 on strain abundances in their data set for the same period, which seems unrealistic, as strains that have become predominant are more abundant in this data set than in the time before they were predominant and when the decision by the WHO is required.…”

Section: Discussionmentioning

confidence: 74%

Computational Prediction of Vaccine Strains for Human Influenza A (H3N2) Viruses

Steinbrück

Klingen

McHardy

2014

J Virol

View full text Add to dashboard Cite

Human influenza A viruses are rapidly evolving pathogens that cause substantial morbidity and mortality in seasonal epidemics around the globe. To ensure continued protection, the strains used for the production of the seasonal influenza vaccine have to be regularly updated, which involves data collection and analysis by numerous experts worldwide. Computer-guided analysis is becoming increasingly important in this problem due to the vast amounts of generated data. We here describe a computational method for selecting a suitable strain for production of the human influenza A virus vaccine. It interprets available antigenic and genomic sequence data based on measures of antigenic novelty and rate of propagation of the viral strains throughout the population. For viral isolates sampled between 2002 and 2007, we used this method to predict the antigenic evolution of the H3N2 viruses in retrospective testing scenarios. When seasons were scored as true or false predictions, our method returned six true positives, three false negatives, eight true negatives, and one false positive, or 78% accuracy overall. In comparison to the recommendations by the WHO, we identified the correct antigenic variant once at the same time and twice one season ahead. Even though it cannot be ruled out that practical reasons such as lack of a sufficiently well-growing candidate strain may in some cases have prevented recommendation of the best-matching strain by the WHO, our computational decision procedure allows quantitative interpretation of the growing amounts of data and may help to match the vaccine better to predominating strains in seasonal influenza epidemics. IMPORTANCEHuman influenza A viruses continuously change antigenically to circumvent the immune protection evoked by vaccination or previously circulating viral strains. To maintain vaccine protection and thereby reduce the mortality and morbidity caused by infections, regular updates of the vaccine strains are required. We have developed a data-driven framework for vaccine strain prediction which facilitates the computational analysis of genetic and antigenic data and does not rely on explicit evolutionary models. Our computational decision procedure generated good matches of the vaccine strain to the circulating predominant strain for most seasons and could be used to support the expert-guided prediction made by the WHO; it thus may allow an increase in vaccine efficacy.

show abstract

Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation

Cited by 105 publications

References 47 publications

A peptide derived from the C‐terminus of PB1 inhibits influenza virus replication by interfering with viral polymerase assembly

A peptide derived from the C‐terminus of PB1 inhibits influenza virus replication by interfering with viral polymerase assembly

Differing Epidemiological Dynamics of Influenza B Virus Lineages in Guangzhou, Southern China, 2009-2010

Computational Prediction of Vaccine Strains for Human Influenza A (H3N2) Viruses

Contact Info

Product

Resources

About