Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Low 2012–13 Influenza Vaccine Effectiveness Associated with Mutation in the Egg-Adapted H3N2 Vaccine Strain Not Antigenic Drift in Circulating Viruses

  • Danuta M. Skowronski ,

    danuta.skowronski@bccdc.ca

    Affiliations Communicable Disease Prevention and Control Service, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada

  • Naveed Z. Janjua,

    Affiliations School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada, Clinical Prevention Services, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada

  • Gaston De Serres,

    Affiliations Department of Biological and Occupational Risks, Institut National de Santé Publique du Québec, Québec (Québec), Canada, Department of Social and Preventive Medicine, Laval University, Québec (Québec), Canada

  • Suzana Sabaiduc,

    Affiliation Communicable Disease Prevention and Control Service, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada

  • Alireza Eshaghi,

    Affiliation Department of Molecular Research, Public Health Ontario, Toronto, Ontario, Canada

  • James A. Dickinson,

    Affiliation Family Medicine and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada

  • Kevin Fonseca,

    Affiliations Department of Virology, Provincial Laboratory of Public Health, Calgary, Alberta, Canada, Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada

  • Anne-Luise Winter,

    Affiliation Communicable Disease Prevention and Control, Public Health Ontario, Toronto, Ontario, Canada

  • Jonathan B. Gubbay,

    Affiliations Department of Microbiology, Public Health Ontario, Toronto, Ontario, Canada, Department of Laboratory Medicine and Pathobiology and Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada

  • Mel Krajden,

    Affiliations Communicable Disease Prevention and Control Service, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada, Clinical Prevention Services, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada

  • Martin Petric,

    Affiliations Communicable Disease Prevention and Control Service, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada, Clinical Prevention Services, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada

  • Hugues Charest,

    Affiliations Laboratoire de Santé Publique du Québec, Institut National de Santé Publique du Québec, Sainte-Anne-de-Bellevue, Québec, Canada, Département De Microbiologie, Infectiologie et Immunologie, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada

  • Nathalie Bastien,

    Affiliation Influenza and Respiratory Virus Section, National Microbiology Laboratory, Winnipeg, Manitoba, Canada

  • Trijntje L. Kwindt,

    Affiliation School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada

  • Salaheddin M. Mahmud,

    Affiliation Community Health Sciences and Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada

  • Paul Van Caeseele,

    Affiliations Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Manitoba, Canada, Department of Medical Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada

  •  [ ... ],
  • Yan Li

    Affiliations Influenza and Respiratory Virus Section, National Microbiology Laboratory, Winnipeg, Manitoba, Canada, Department of Medical Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada

  • [ view all ]
  • [ view less ]

Abstract

Background

Influenza vaccine effectiveness (VE) is generally interpreted in the context of vaccine match/mismatch to circulating strains with evolutionary drift in the latter invoked to explain reduced protection. During the 2012–13 season, however, detailed genotypic and phenotypic characterization shows that low VE was instead related to mutations in the egg-adapted H3N2 vaccine strain rather than antigenic drift in circulating viruses.

Methods/Findings

Component-specific VE against medically-attended, PCR-confirmed influenza was estimated in Canada by test-negative case-control design. Influenza A viruses were characterized genotypically by amino acid (AA) sequencing of established haemagglutinin (HA) antigenic sites and phenotypically through haemagglutination inhibition (HI) assay. H3N2 viruses were characterized in relation to the WHO-recommended, cell-passaged vaccine prototype (A/Victoria/361/2011) as well as the egg-adapted strain as per actually used in vaccine production. Among the total of 1501 participants, influenza virus was detected in 652 (43%). Nearly two-thirds of viruses typed/subtyped were A(H3N2) (394/626; 63%); the remainder were A(H1N1)pdm09 (79/626; 13%), B/Yamagata (98/626; 16%) or B/Victoria (54/626; 9%). Suboptimal VE of 50% (95%CI: 33–63%) overall was driven by predominant H3N2 activity for which VE was 41% (95%CI: 17–59%). All H3N2 field isolates were HI-characterized as well-matched to the WHO-recommended A/Victoria/361/2011 prototype whereas all but one were antigenically distinct from the egg-adapted strain as per actually used in vaccine production. The egg-adapted strain was itself antigenically distinct from the WHO-recommended prototype, and bore three AA mutations at antigenic sites B [H156Q, G186V] and D [S219Y]. Conversely, circulating viruses were identical to the WHO-recommended prototype at these positions with other genetic variation that did not affect antigenicity. VE was 59% (95%CI:16–80%) against A(H1N1)pdm09, 67% (95%CI: 30–85%) against B/Yamagata (vaccine-lineage) and 75% (95%CI: 29–91%) against B/Victoria (non-vaccine-lineage) viruses.

Conclusions

These findings underscore the need to monitor vaccine viruses as well as circulating strains to explain vaccine performance. Evolutionary drift in circulating viruses cannot be regulated, but influential mutations introduced as part of egg-based vaccine production may be amenable to improvements.

Introduction

In Canada, as elsewhere in North America, an early and intense epidemic peak distinguished the 2012–13 influenza season [1][5]. Influenza A/H3N2 subtype viruses predominated and were associated with increased outbreak reports from long-term care facilities, exceeding tallies of the prior decade in some regions despite higher immunization coverage among residents and staff in those settings [6], [7]. Consistent with these surveillance observations, mid-season assessment of vaccine performance by the established sentinel monitoring system in Canada showed disappointing vaccine effectiveness (VE) of 45% (95%CI: 13–66%) for the H3N2 component [1], similarly low in the United States [8] and Europe [9]. Although suboptimal vaccine performance has historically been linked to evolutionary drift in circulating viruses, H3N2 viruses in Canada and elsewhere globally were characterized throughout the epidemic as antigenically similar to the prototype virus (A/Victoria/361/2011) recommended as 2012–13 vaccine component by the World Health Organization (WHO) [2][5], [10].

To understand low VE despite reports of vaccine match, we conducted further epidemiologic and laboratory investigations in end-of-season analyses. With additional participants and contributing viruses, we estimated VE against circulating strains belonging to both influenza A subtypes and B lineages accompanied by their in-depth genotypic and phenotypic characterization in relation to vaccine components. Specifically, vaccine-virus relatedness was assessed genotypically by determining the amino acid (AA) sequence of established haemagglutinin (HA) antigenic sites and phenotypically through the haemagglutination inhibition (HI) assay. For H3N2, virus characterization was in relation to the A/Victoria/361/2011 prototype strain recommended by the WHO [10], as well as the egg-adapted high growth reassortant strain as per that actually used by manufacturers in vaccine production (hereafter “IVR-165”) [11]. We show that suboptimal VE for the H3N2 component during the 2012–13 season was related to mutations in the egg-adapted IVR-165 vaccine strain, rather than antigenic drift in circulating viruses.

Methods

Ethics statement

Associated institutional ethics review boards in each contributing province approve this annual evaluation of influenza VE in Canada based on documented oral consent, including the Behavioural Research Ethics Board of the University of British Columbia, the Conjoint Health Research Ethics Board of the Calgary Health Region of Alberta Health and the University of Calgary, the Health Research Ethics Board of the University of Manitoba, the Health Sciences Research Ethics Board of the University of Toronto and the University Health Network (Ontario) and the Comité d'éthique de santé publique, Ministère de la Santé et des Services sociaux du Québec.

Epidemiologic

A test-negative case-control design embedded within the routine sentinel surveillance network has been used each year in Canada since 2004 to estimate effectiveness of the annually-reformulated trivalent influenza vaccine (TIV) [1], [12][19]. Several hundred practitioners from designated community-based sentinel sites in the five most-populous provinces (British Columbia (BC), Alberta, Manitoba, Ontario and Québec) contribute to annual virologic and VE monitoring. Participating sentinel sites can offer nasal or nasopharyngeal swabs for influenza virus testing to all patients presenting within 7 days of influenza-like illness (ILI) onset. ILI is defined as acute fever and cough illness with one or more of sore throat, arthralgia, myalgia or prostration. Fever is not required for elderly patients aged ≥65 years.

At the time of specimen collection, the attending practitioner also obtains epidemiologic information directly from consenting patients/parents/guardians using a standardized questionnaire affixed to the laboratory requisition. Information includes date of symptom onset, current influenza immunization status and month/year of vaccine receipt, as well as prior TIV (2011–12, 2010–11) and 2009 monovalent A(H1N1)pdm09 vaccine receipt [17]. Details related to special pediatric immunization dosing are not sought. Information on comorbidity is recorded on the questionnaire as ‘yes’, ‘no’ or ‘unknown’ to any one or more of the chronic medical conditions defined by Canada's National Advisory Committee on Immunization as increasing the risk of influenza complications, without specifying the condition [20].

Immunization

Immunized participants primarily receive vaccine during the regular autumn immunization campaign. Influenza vaccine is provided free of charge to all citizens ≥6 months old in Alberta, Manitoba and Ontario. In BC and Québec vaccine is provided free of charge to high-risk individuals and their close contacts or caregivers [20]; others are also encouraged to receive vaccine but must purchase it. For the 2012–13 season, 70% of the national contractual volume of publicly-funded non-adjuvanted, inactivated TIV that was administered was split virus formulation and the rest was subunit. Live attenuated influenza vaccine was also available for those 2–59 years old, but publicly funded only in the participating provinces of Alberta and Québec. An adjuvanted subunit TIV formulation was also available for the elderly but used only in the participating provinces of BC and Ontario.

For the northern hemisphere's 2012–13 TIV, two of three components were changed from the prior season [10]. The WHO recommended a strain-level change for the H3N2 component to include A/Victoria/361/2011-like prototype virus and a lineage-level change to include B/Wisconsin/1/2010(Yamagata-lineage)-like virus. The A/California/7/2009(H1N1)-like virus (hereafter A(H1N1)pdm09) was retained unchanged since 2009 [10]. Manufacturers substituted the egg-adapted high growth reassortant strains A/Victoria/361/2011(H3N2)-IVR-165, A/California/7/2009(H1N1)-NYMC-X-179A (or X-181) (hereafter “X-179A” or “X-181”) and B/Hubei-Wujiagang/158/2009-NYMC-BX-39 as considered antigenically-equivalent to the WHO-recommended prototype viruses. Of the publicly supplied TIV in Canada, 70% included A/California/7/2009-like antigen derived from X-179A and 30% from X-181.

Laboratory

Specimens were tested for influenza virus at provincial public health laboratories by real-time reverse-transcription polymerase chain reaction (RT-PCR). All RT-PCR positive specimens were inoculated into mammalian cell culture (Madin Darby canine kidney (MDCK) or rhesus monkey kidney (RMK) (Ontario)) for virus isolation and an aliquot of successfully cultivated virus, generally after single passage, was submitted to the National Microbiology Laboratory (Canada's influenza virus reference laboratory) for characterization by haemagglutination inhibition (HI) assay [21]. Currently, an 8-fold or greater reduction in post-infection ferret HI-antibody titre raised to a given reference strain and tested against a field isolate constitutes meaningful antigenic distinction between reference and test viruses, although previously a threshold of 4-fold or greater titre reduction had been applied [21].

For H3N2 viruses, HI characterization was undertaken not only relative to the A/Victoria/361/2011 virus passaged in MDCK cells with whole HA identical to the WHO-recommended MDCK-passaged vaccine prototype, but also relative to the egg-passaged version with whole HA identical to the IVR-165 reassortant vaccine strain. The former was conducted using turkey erythrocytes and validated with guinea pig erythrocytes; the latter was conducted with guinea pig erythrocytes directly [21].

A subset of sentinel H3N2 HA1 and A(H1N1)pdm09 HA1/HA2 genes from viruses detected across the season and contributing to VE analysis were sequenced for phylogenetic and pair-wise AA identity comparison according to methods described in Text S1. Virus was sequenced from culture isolates (Ontario, per above) or original patient specimens (all provinces including Ontario in the event virus could not be cultivated). Genotypic findings were interpreted in relation to corresponding phenotypic findings based on HI antigenic characterization. For this analysis we referred to established antigenic site maps which for H3 consist of 131 AA residues across antigenic sites A–E as enumerated in Table S1 [18], [19], [22] and for H1 consist of 50 AA residues across antigenic sites Sa, Sb, Ca1, Ca2, and Cb as also enumerated in Table S1 [19], [23].

Influenza B viruses were characterized at the lineage- and/or strain-level by HI, phylogenetic analysis or an influenza B-lineage-specific one-step conventional RT-PCR assay [24]. Because antigenic site maps for influenza B have not yet been established, further gene sequencing and pair-wise identity analysis were not undertaken for influenza B.

VE analysis

A specimen collected between November 1, 2012 (week 44) and April 30, 2013 (week 18) was considered a case if it tested positive for influenza virus and a control if it tested negative for all influenza types/subtypes. Patients for whom the timing of vaccination was unknown or <2 weeks before symptom onset, or for whom comorbidity was unknown were excluded. We estimated the odds ratio (OR) for medically-attended, laboratory-confirmed influenza in vaccinated versus non-vaccinated participants by logistic regression with adjustment for clinically-relevant confounders. Per previous VE analyses from this sentinel system, covariates included age, comorbidity, province, week of specimen collection and the interval between ILI onset and specimen collection [1], [12][19]. VE was calculated as [1-adjustedOR]×100. We also separately assessed VE in patients without comorbidity, by age category and by prior immunization history.

Results

Participant profile

There were 1501 participants included in final 2012–13 VE analysis (Figure 1). Similar to previous participation in our sentinel network, adults 20–49 years of age comprised the greatest proportion (680/1501; 45%) (Table 1) [1], [14][19]. Overall, 16% (107/664) of cases and 30% (263/888) of controls reported receipt of 2012–13 TIV (p<0.01). After applying exclusion criteria related to immunisation timing, 15% of cases and 26% of controls were considered immunized (p<0.01) (Table 1). Only a minority of participants reported receipt of live vaccine overall or among children, or adjuvanted formulation for the elderly (Table 1). The proportion of controls immunised is comparable to that of previous VE analyses [1], [14][16], [18], [19] and to population immunization coverage separately reported by the Canadian Community Health Survey (CCHS) (∼30%) [25]. The proportion with comorbidity (22%) was also comparable to previous seasons and to CCHS estimates (∼15–20%) (Table 1) [1], [14][19], [26].

thumbnail
Figure 1. Specimen exclusion for influenza vaccine effectiveness analysis, Canada, 2012–13 sentinel surveillance system.

NOTE: exclusions shown here in stepwise fashion to arrive at total case and control tally (i.e. those meeting multiple exclusion criteria are counted on the basis of the first exclusion criterion met in the list shown). Missing collection dates were imputed as the laboratory accession date minus two days, the average time period between collection date and laboratory accession date for records with valid data for both fields.

https://doi.org/10.1371/journal.pone.0092153.g001

thumbnail
Table 1. Profile of participants included in primary influenza VE analysis, 2012–13, Canada.

https://doi.org/10.1371/journal.pone.0092153.t001

The majority of those considered immunized in 2012–13 also reported prior immunization: 83/91 (91%) cases and 180/206 (87%) controls were immunized in 2011–12 (p = 0.34); 74/85 (87%) cases and 162/199 (81%) controls were immunized in both 2011–12 and 2010–11 (p = 0.24); and 67/83 (81%) cases and 149/189 (79%) controls received the 2009 monovalent A(H1N1)pdm09 vaccine (p = 0.72).

Influenza detection

The 2012–13 season showed an early November rise and December/January peak in H3N2 activity followed by greater A(H1N1)pdm09 and influenza B contributions thereafter (Figure 2). Overall, influenza virus was detected in 652/1501 (43%) specimens tested (Table 2). For the 626/652 (95%) influenza detections for which influenza A/subtype and influenza B/lineage could be determined, 394 (63%) were H3N2, 79 (13%) were A(H1N1)pdm09, and one was a dual H3N2 and A(H1N1)pdm09 co-infection; 98 (16%) belonged to the B/Yamagata vaccine-lineage and 54 (9%) belonged to the B/Victoria non-vaccine-lineage (Table 2). The proportion immunized by age and influenza type, subtype and lineage is shown in detail in Table S2.

thumbnail
Figure 2. Influenza specimens by week and subtype, 2012–13 sentinel surveillance period (N = 1682).

NOTE: excludes specimens from patients failing to meet the influenza-like illness case definition or unknown; specimens collected >7 days after influenza-like illness onset or interval unknown; comorbidity unknown; age unknown or <1 year and influenza test results unavailable or inconclusive on typing. Missing collection dates were imputed as the laboratory accession date minus two days, the average time period between collection date and laboratory accession date for records with valid data for both fields. One specimen diagnosed with both A/H3N2 and A(H1N1)pdm09 in week 2 is not presented in the graph. Vaccine effectiveness analysis spans week 44 to week 18.

https://doi.org/10.1371/journal.pone.0092153.g002

VE estimates

Crude and adjusted-VE estimates are provided in Table 3. Overall VE was 50% (95%CI: 33–63%) and against influenza A was 45% (95%CI: 24–60%). Both estimates were driven by the predominant H3N2 activity during the 2012–13 season for which VE was 41% (95%CI: 17–59%). VE was 59% (95%CI: 16–80%) against A(H1N1)pdm09. Against influenza B, VE was higher at 68% (95%CI: 44–82%): 67% (95%CI: 30–85%) for B/Yamagata vaccine-lineage and 75% (95%CI: 29–91%) for B/Victoria non-vaccine lineage viruses.

thumbnail
Table 3. Primary and restricted analysis - influenza vaccine effectiveness based on sentinel system in Canada 2012–13 season.

https://doi.org/10.1371/journal.pone.0092153.t003

VE estimates were generally increased with restriction to those without comorbidity and among children, but reduced with restriction to adults only, notably those 20–49 years of age (Table 3). Repeat immunization had varying effects: those who had received both 2012–13 and 2011–12 TIV had lower VE estimates against H3N2 than those who received 2012–13 TIV alone (Table S3). Conversely, those immunized both seasons showed higher protection against both influenza B/lineages. In each of these sub-analyses, however, confidence intervals were broad and overlapping. We particularly lacked statistical power related to the A(H1N1)pdm09 component, although in separately-grouped indicator analysis there was suggestion of comparable or higher 2012–13 TIV protection in those with prior receipt of the same unchanged A(H1N1)pdm09 vaccine antigen, including the 2009 monovalent formulation (Table S4).

Influenza genetic and antigenic characterization

To assess the impact of genotypic and phenotypic differences on VE estimates, we compared antigenic site sequence analysis and HI characterization of MDCK cell- and egg-passaged influenza A vaccine and circulating viruses.

A(H3N2).

Of 395 H3N2 infections diagnosed by PCR, 152 (38%) viruses contributed to genotypic analysis with specimen collection dates spanning November 10 to April 10 including 56 (37%) with November–December, 92 (60%) with January–February and 4 (3%) with March–April collection. The vast majority of these viruses (143/152; 94%) belonged to the same phylogenetic clade 3C as did both the MDCK-passaged, WHO-recommended A/Victoria/361/2011 prototype virus and the egg-adapted IVR-165 reassortant strain actually used in vaccine production (Figure S1).

However, more detailed sequence analysis revealed three antigenic site AA differences between the IVR-165 and the WHO-recommended A/Victoria/361/2011 prototype. These three mutations in IVR-165, located close to the receptor binding site, include H156Q and G186V substitutions at antigenic site B, and S219Y mutation at antigenic site D. Conversely, the HA1 gene of all 152 circulating viruses, like their 2011–12 vaccine and circulating predecessors [19], shared AA identity with the MDCK-cell-passaged prototype at these three positions (Table 4). In association with the IVR-165 antigenic-site mutations, we observed 16-fold reduction in HI antibody titre raised against the egg-passaged version when tested against the MDCK-cell-passaged prototype. This is consistent with the 32-fold reduction also reported by the WHO in its comparison between IVR-165 and the WHO-recommended prototype [10]. Also similar to the WHO report [10], there was no reduction for antibody raised to the MDCK-cell-passaged virus when tested in reverse against the egg-passaged version in two-way HI comparison.

thumbnail
Table 4. Haemagglutinin antigenic site differences in circulating H3N2 viruses relative to the 2012–13 egg-adapted A/Victoria/361/2011 IVR-165a high growth reassortant vaccine strain.

https://doi.org/10.1371/journal.pone.0092153.t004

There were 132 H3N2 isolates successfully cultured for HI characterization, with collection dates spanning November 20 to April 10, including 61 (46%) with November–December, 68 (52%) with January–February and 3 (2%) with March–April collection. None of these isolates showed ≥8-fold reduction in antibody titre relative to the MDCK-cell-passaged strain, indicating that circulating viruses spanning the H3N2 season were antigenically-equivalent to the WHO-recommended prototype (Table 2). Conversely, all but one H3N2 isolate showed ≥8-fold reduction relative to the egg-passaged strain, including viruses collected from season start and with more than half of the circulating viruses (72/130) showing 16-fold and one-quarter (34/130) showing 32-fold titre reduction. This indicates that circulating viruses spanning the season were antigenically distinct from IVR-165.

This antigenic separation between IVR-165 and circulating viruses was primarily associated with mutations in the egg-adapted vaccine. The most prevalent antigenic-site differences between circulating viruses and IVR-165 are illustrated in Figure 3 [27], [28], including the 3 differences from vaccine at positions 156, 186 and 219 resulting from IVR-165 mutation but not evident in relation to the WHO-recommended prototype. The majority of the circulating clade 3C viruses (134/144; 93%) showed a total of 5-7AA antigenic-site differences relative to IVR-165 (95–96% vaccine identity) (Table 4). Fewer showed 4AA (4/144;3%) or 8AA (6/144;4%) total differences relative to IVR-165. Nine other circulating H3N2 viruses belonged to clade 6 and showed 11–12AA antigenic-site differences from IVR-165 (91–92% vaccine identity). However, among the 73 H3N2 viruses spanning November 20 to April 10 for which both genotypic (sequencing) and phenotypic (HI) characterization were undertaken there was a similar distribution of up to 32-fold-reduction in HI titres relative to the egg-passaged strain. This was true regardless of the nature or number of additional AA mutations in circulating clade 3 or clade 6 viruses beyond the three vaccine mutations (Table 5).

thumbnail
Figure 3. Three-dimensional model of antigenic-site differences between circulating H3N2 viruses and the 2012–13 egg-adapted A/Victoria/361/2011 IVR-165 high growth reassortant vaccine strain.

One HA1 monomer is shown with five previously defined antigenic site residues of A–E colored in light green, dark green, light blue, dark blue and purple, respectively, mapped onto a related crystal structure (A/X-31(H3N2), PDB, 1HGG) [27] using PyMOL [28]. The most prevalent antigenic site amino acid differences between circulating clade 3C viruses in Canada relative to the egg-adapted A/Victoria/361/2011 IVR-165 vaccine reassortant strain are shown in red and labelled with coloured font representing their antigenic sites, viewed from the front (A) or side (B). Three amino acid differences (Q156H, V186G and Y219S) are owing to mutation in the egg-adapted IVR-165 vaccine strain rather than circulating viruses which instead share identity with the MDCK-passaged WHO reference prototype at these positions. RBS indicates approximate location of the receptor-binding site.

https://doi.org/10.1371/journal.pone.0092153.g003

thumbnail
Table 5. Distribution of fold-reduction in haemagglutination inhibition (HI) titres relative to the 2012–13 egg-passaged H3N2 strain by nature and location of additional amino acid (AA) mutations present in HA1 antigenic sites of circulating viruses.

https://doi.org/10.1371/journal.pone.0092153.t005

Taken together, these findings suggest that H3N2 viruses were antigenically equivalent to the WHO-recommended prototype but antigenically distinct from the IVR-165 vaccine component and that vaccine mismatch was predominantly related to mutations in the egg-adapted vaccine strain, rather than evolutionary drift in circulating viruses.

A(H1N1)pdm09.

Sequence analysis showed that the egg-adapted X-179A (and X-181) vaccine reassortant strain bore no antigenic-site AA mutations relative to the WHO-recommended prototype, and of the 40 A(H1N1)pdm09 isolates spanning November 19 to March 22 characterized by HI (85% collected in January–February), all were antigenically-similar to the vaccine strain (Table 2). Fifty-seven circulating A(H1N1)pdm09 viruses spanning November 19 to March 8 (85% collected in January–February) were also sequenced, of which 55 (96%) belonged to clade 6 (Figure S2). In September 2013, the European Centre for Disease Prevention and Control (ECDC) further divided clade 6 viruses into three genetic subgroups such that 1/55 (2%), 2/55 (4%) and 52/55 (95%) of our sentinel clade 6 A(H1N1)pdm09 viruses during 2012–13 belong to clade 6A, 6B and 6C, respectively [29]. The majority of the sentinel clade 6 viruses (47/55; 85%) showed 3AA antigenic-site substitutions relative to X-179A/X-181 and 94% vaccine identity with fewer showing 2AA (7/55) or 4AA (1/55) substitutions and two clustered within clade 7 with 3-4AA mutations (Table S5).

The genetic profile of circulating A(H1N1)pdm09 viruses differs from 2011–12 when 90% of sequenced viruses clustered within clade 7, bearing the same 2AA mutations shared by all subsequent 2012–13 clade 6/7 viruses (S185T/P and S203T) [19] but with greater additional genetic diversity observed in 2012–13. Other antigenic site mutations in 2012–13, located close to the receptor-binding site, include 21/57 (37%) viruses with R205K (seen in clade 5 sequences in 2011–12), 17/57 (30%) with A141T, and 8/57 (14%) with A186T (Table S5, Figure S3) [30].

Discussion

The sentinel surveillance system in Canada directly links genotypic and phenotypic characterization of circulating influenza viruses to epidemiologic measurement of VE in order to better understand vaccine protection in the context of vaccine-virus relatedness. For the 2012–13 season, we used this platform to investigate protection provided by the H3N2 vaccine component, for which VE was first reported to be suboptimal (45%) in mid-season publication [1] despite widespread laboratory reporting that circulating viruses remained antigenically well conserved [2][5], [10]. In end-of-season analysis we corroborate mid-season epidemiologic findings of low VE (41%) and reconcile these with laboratory findings. Through detailed gene sequencing and HI comparison we show that reduced vaccine protection during the 2012–13 season was related to mutations in the egg-adapted H3N2 high growth reassortant strain used in vaccine production, not antigenic drift in circulating viruses.

Vaccine match/mismatch to explain variable VE has historically focused on diversity and drift in circulating viruses and their evolving antigenic distance from the corresponding vaccine component. Here, we broaden that perspective to include the potentially serious implications of even a few AA mutations introduced through egg-adaptation of the WHO-recommended cell-passaged prototype virus. The early provision of an egg-adapted high growth reassortant version of the WHO-recommended prototype is a fundamental requirement of influenza vaccine manufacturing, needed for further high-yield growth in embryonated hens' eggs as part of annual mass production [31]. However, in a variety of animal models, mammalian cell-derived H1 and H3 viruses have been shown to induce more cross-reactive antibody response and better protection than corresponding egg-adapted variants bearing as few as 1–2AA mutations [32][35]. Such changes with egg passage, particularly if located near the HA receptor-binding site, have been shown to dramatically alter vaccine antigenicity, immunogenicity and efficacy [32][35]. Located closest to the receptor-binding site, mutations at antigenic sites A, B and D of the H3 globular head are typically considered most consequential [36] and the immuno-dominance of antigenic site B is particularly emphasized among more recent H3N2 strains [37].

In that regard, we highlight mutations present in the 2012–13 egg-adapted high growth reassortant IVR-165 vaccine strain relative to the WHO-recommended H3N2 prototype at positions 156 and 186 of site B, and at position 219 of site D. These mutations were associated with altered vaccine antigenicity and low VE even while antigenic integrity of circulating viruses was maintained. Site B positions 156 and 186 are well-known egg-adaptation sites [38], [39] but QH (i.e. glutamine-histidine) variation at position 156 has additionally been highlighted as one of two HA residues (in addition to position 155) responsible for the significant A/Fujian/411/02 (H3N2) antigenic drift and the suboptimal VE reported during that dramatic 2003–04 influenza epidemic [38]. In more recent publication, substitutions at just seven of the 131 H3N2 A–E antigenic site residues, located exclusively in antigenic sites A (position 145) and B (positions 155, 156, 158, 159, 189 and 193) have been highlighted as responsible for all major H3N2 antigenic cluster transitions since 1968 [40]. Of these, only position 156 distinguishes circulating viruses in 2012–13 from IVR-165 and not from the WHO-recommended cell-passaged prototype. Although our circulating viruses also manifest substitution at position 145 in relation to both IVR-165 and the WHO prototype (Table 4), this difference did not exacerbate fold-reduction in HI titres in relation to the former, and did not alter antigenic equivalence in relation to the latter.

Divergence at position 156 due to vaccine mutation may have therefore been particularly influential in reducing antibody recognition and neutralization of circulating viruses, compromising VE. Of note, the A/Texas/50/2012 egg-adapted high growth reassortant strain (X-223) selected as replacement for the 2013–14 TIV also manifests substitutions at positions 186 and 219 (Table 4) but no longer at position 156. With that 156 homology, X-223 shows antigenic equivalence (≤4-fold reduction in HI titres) relative to the MDCK cell-passaged A/Victoria/361/2011 strain that is once again the WHO-recommended prototype for the 2013–14 vaccine [10]. It is concerning, however, that 74% (90/122) of our sentinel viruses collected during the 2012–13 season still showed ≥8-fold reduction in HI titres when further tested with anti-sera raised against the egg-passaged A/Texas/50/2012 strain and 24% (29/122) showed ≥16-fold reduction. X-223 manifests additional antigenic site B (T128N, S198P) and D (I226N) mutations relative to A/Victoria/361/2011 and IVR-165, different also from our circulating viruses. Ongoing monitoring of H3N2 vaccine-virus relatedness and impact on VE thus remain critical.

These findings related to mutation in egg-adapted vaccine strains highlight a need for in-depth monitoring not only of circulating viruses but also of annual vaccine constituents. In reporting vaccine match/mismatch, both real time [2][5] and in retrospective reviews [41], the comparator vaccine referent (whether the original MDCK or egg-passaged WHO prototype, egg-adapted high growth reassortant strain or further egg-propagated virus) should be specified. This would enable more accurate understanding of the correlation between antigenic match and VE. Until now, commentaries on VE as it relates to vaccine match have focused on the similarity between circulating virus and the WHO recommended reference—an approach that our study shows can lead to incorrect conclusions about similarity to the actual vaccine component used and the anticipated vaccine protection on that basis. While evolutionary drift in circulating viruses cannot be regulated, mutations that are introduced as part of egg-based vaccine production may be amenable to improvements. To determine the antigenic relationship between two viruses proposed as equivalent vaccine candidates, ferret anti-sera to both viruses (e.g. the egg- and MDCK-passaged) must be used in a “two-way” HI test [21]. In the current study, and in follow-up report by the WHO [10], two-way HI testing revealed ≥8-fold reduction in antibody titre raised to the egg-passaged strain when tested against the MDCK-passaged version, but this titre reduction was not observed when tested in reverse (anti-sera raised to the MDCK-passaged strain tested against the egg-passaged virus). One-way HI testing consisting only of the latter more cross-reactive direction does not show the antigenic difference between IVR-165 and the recommended cell-passaged A/Victoria/361/2011 prototype [11]. Routine display of two-way HI testing for candidate vaccine viruses could reveal this issue in advance of vaccine production and use, and enable public health programs to more broadly respond to its potential implications.

Specific virus-host interactions are also relevant to consider in interpreting VE findings. In sub-analyses, VE was higher for all TIV components in young participants <20 years of age and those without comorbidity, but for H3N2 was further reduced in adults and those with history of prior immunization. Random variation associated with small sample size in subgroup analysis has to be the first consideration in explaining these differences. Beyond that, hypotheses to explain variability of repeat vaccine effects include varying positive or negative interference from pre-existing antibody determined by antigenic distance across successive vaccine and circulating variants as well as differential neutralization efficiency of affected HA epitopes [36], [42]. Ongoing monitoring of genetic variability across vaccines and circulating viruses may improve resolution and refine our measure of antigenic distance relevant to the effects of repeat immunization. The previous season's 2011–12 TIV included the antigenically-distinct H3N2 predecessor strain A/Victoria/210/2009-X-187 bearing 11AA differences from IVR-165 and 91.6% cross-vaccine identity (Table 4). We lacked statistical power to explore the influence of prior immunization stratified by age or comorbidity but among immunized controls, a comparable proportion <20 years versus 20–49 years of age were immunized the prior year (15/18, 83% versus 55/68, 81%; p = 0.19), greater among those with than without comorbidity (79/82, 96% versus 101/124, 82%; p<0.01). However, single cross-season differences in prior immunization do not necessarily reflect the cumulative lifetime effects of vaccine- or virus-induced antibody that may also be influential. Such immunologic interactions are important to explore but most studies, including our own, lack the required power to assess their intricate effects.

Our end-of-season analyses provide other noteworthy insights. Relative to the WHO-recommended prototype, there were no antigenic-site mutations in the 2012–13 egg-adapted A(H1N1)pdm09 X-179A (or X-181) vaccine strain. Circulating viruses were shown by HI to remain antigenically similar to A/California/07/2009, retained as vaccine antigen since 2009. Nevertheless, our point estimate of VE in 2012–13 (59%; 95%CI: 16–80%) was reduced compared to the prior 2011–12 season (80%; 95%CI: 54–92%) [19]. Confidence intervals around each of these estimates are broad and overlapping such that conclusions regarding VE trends across seasons cannot be drawn. However, the genetic profile of circulating A(H1N1)pdm09 viruses in 2012–13 was more diverse than 2011–12, particularly in relation to the receptor binding site. Ongoing monitoring of differences in the contributing mix of genetic variants across seasons and their correlation with variation in VE may be relevant given recent resurgence of A(H1N1)pdm09 activity [43] and retention of the same vaccine antigen for the northern hemisphere's 2013–14 TIV. After including the same B/Victoria-lineage as TIV component across three consecutive seasons (2009–10 to 2011–12), the WHO recommended a lineage-level switch to B/Yamagata-containing vaccine for the 2012–13 TIV. We found comparable VE estimates of about 70% for co-circulating Yamagata- and Victoria-lineages this season. Immunologic recognition across influenza B/lineages might be anticipated given the greater AA similarity across the HA1 of influenza B/lineages (∼90% pairwise identity) than across influenza A H1/H3 subtypes (∼35% pairwise identity) [44]. We have previously demonstrated cross-lineage immunologic interactions and differential vaccine effects based on prior original priming and subsequent boost exposure histories [44][46]. Population heterogeneity in B/lineage exposures with differential recall of immunologic memory (i.e. complex cohort effects) may be evident in cross-lineage protection with varying age-related and prior immunization effects (Table S3). Recent meta-analysis has summarized cross-lineage TIV effectiveness from eight randomized controlled trials, mostly among adults, at 52% (95%CI: 19–72%) [47]. Precise quantification and better understanding of the variability in cross-lineage VE for influenza B will be crucial in assessing the incremental cost-benefit of proposed quadrivalent vaccine formulations to replace TIV.

There are limitations to this study. We routinely assess vaccine-relatedness through gene sequencing and HI characterization of contributing viruses from across the season, but this represents only a proportion of all influenza virus detections. Systematic differences in viruses available for characterization or sequencing cannot be ruled out—an issue for all laboratory-based surveillance. We did not directly access IVR-165 but instead, MDCK- and egg-passaged viruses used in HI assays were derived from reference strains provided by the United States Centers for Disease Control and Prevention, confirmed through sequence analysis to be identical in their HA to the A/Victoria/361/2011 WHO prototype and to the IVR-165 reassortant strains, respectively. Two-way HI comparison of these viruses was consistent with WHO report [10]. Working-age adults and repeat vaccine recipients typically comprise the majority of our sample; virologic and VE findings may not be generalizable to other populations. In Canada, universal health care coverage addresses barriers to access that may exist in other countries. We include only participants meeting a specified ILI definition presenting within 7 days of ILI onset helping to standardize for health-care seeking behaviour and illness severity. However, patient and clinician discretion is still incorporated into the decision to test. Because no national immunization registry documenting influenza vaccine receipt exists in Canada, self-report of vaccine status cannot be further validated but has been shown elsewhere to be reliable [48] and was comparable here to separate survey estimates of coverage for seasonal TIV (∼30%) [25] and 2009 monovalent pandemic H1N1 (∼40%) [49] vaccine. We do not collect information on manufacturer's brand of vaccine administered, but most of the seasonal vaccine publicly funded in Canada is non-adjuvanted inactivated split virion product; other formulations are available such as live attenuated vaccine preferentially recommended for children or adjuvanted subunit vaccine approved for the elderly [20], but as shown in Table 1, these products contributed little to our overall or age-stratified 2012–13 VE analyses. Although we conducted subset analyses of VE, the reduced sample size and wide confidence intervals in sub-analyses preclude definitive conclusions. Validity of VE estimates derived by the test-negative approach has been demonstrated previously through modelling [50] and more recently empirically through direct comparison to gold-standard per-protocol analysis of the same randomized-controlled trial datasets [51]. Our participant profiles are comparable to previous estimates from the sentinel system and community surveys in Canada. Although we observed no obvious flags for concern, as with any observational design, we cannot rule out residual bias and confounding.

In summary, our findings underscore the need to monitor vaccine viruses as well as circulating strains to explain vaccine performance. Evolutionary drift in circulating viruses cannot be regulated, but virus changes introduced as part of egg-based vaccine production may be amenable to improvements. In that regard a better understanding of specific mutations related to egg-adaptation and most influential upon vaccine protection is needed. We highlight the immuno-epidemiologic complexity that may further influence VE, including agent-host interactions and prior antigenic exposures. This complexity is daunting to consider but critical to confront in improving influenza prevention and control. Finally, we show that sentinel surveillance structures can efficiently and reliably link detailed virologic and epidemiologic observations at the molecular, individual and population levels in support of programmatic and scientific insights and should be considered a core requirement for ongoing influenza vaccine monitoring and evaluation.

Supporting Information

Figure S1.

Phylogenetic tree of influenza A/H3N2 viruses, sentinel system 2012–13. A maximum-likelihood phylogeny of the 152 sentinel viruses in the context of globally isolated 2012–2013 H3N2 viruses and recent vaccine components (n = 93) based on nucleotide alignment of the haemagglutinin HA1 domain is shown. Vaccine components and previously reported clades are labelled; sentinel viruses are coloured by province of origin.

https://doi.org/10.1371/journal.pone.0092153.s001

(PDF)

Figure S2.

Phylogenetic tree of influenza A(H1N1)pdm09 viruses, sentinel system 2012–2013. A maximum-likelihood phylogeny of the 57 sentinel viruses in the context of globally isolated 2012–2013 A(H1N1)pdm09 viruses and recent vaccine components (n = 77) based on nucleotide alignment of the haemagglutinin HA1/HA2 domains is shown. Vaccine components and previously reported clades are labelled; sentinel viruses are coloured by province of origin. In September 2013, the European Centre for Disease Prevention and Control (ECDC) further divided clade 6 viruses into three genetic subgroups such that 1/55 (2%), 2/55 (4%) and 52/55 (95%) of the sentinel clade 6 A(H1N1)pdm09 viruses displayed belong to clade 6A, 6B and 6C. Subclade details are displayed in Table S5 [29].

https://doi.org/10.1371/journal.pone.0092153.s002

(PDF)

Figure S3.

Three-dimensional model of antigenic-site mutations in circulating A(H1N1)pdm09 viruses relative to the 2012–13 egg-adapted A/California/04/2009 X-179A high growth reassortant vaccine strain. Three-dimensional structures of the trimeric haemagglutinin (HA) protein were constructed using the crystal structure of the A/California/04/2009(H1N1) HA (PDB, 3LZG) [30] Amino acid residues of the Sa, Sb, Ca1, Ca2 and Cb antigenic regions on the molecular surface (A: front view; B: top view) are colour-coded purple, green, yellow, pink and blue respectively and amino acid substitutions in circulating viruses relative to X-179A are labelled with coloured text representing their antigenic site positions. The three most prevalent mutations found in this study are coloured red (R205K site Ca1, A141T site Ca2, and A186T site Sb). Clade characteristic mutations S185T (representative for S185T/P) in antigenic site Sb and S203T (not visible in the figure) in antigenic site Ca are coloured cyan. RBS indicates approximate location of the receptor-binding site.

https://doi.org/10.1371/journal.pone.0092153.s003

(TIFF)

Table S1.

Influenza A H3 and H1 antigenic site maps.

https://doi.org/10.1371/journal.pone.0092153.s004

(PDF)

Table S2.

Proportion of participants who received 2012–13 TIV by age and influenza type, subtype and lineage.

https://doi.org/10.1371/journal.pone.0092153.s005

(PDF)

Table S3.

Prior 2011–12 trivalent influenza vaccine (TIV) effects on current 2012–13 TIV effectiveness.

https://doi.org/10.1371/journal.pone.0092153.s006

(PDF)

Table S4.

Prior 2011–12 trivalent influenza vaccine (TIV) and/or 2009 monovalent pandemic vaccine effects on 2012–13 TIV effectiveness vs. A(H1N1)pdm09.

https://doi.org/10.1371/journal.pone.0092153.s007

(PDF)

Table S5.

Haemagglutinin antigenic site mutations in circulating A(H1N1)pdm09 viruses relative to the 2012–13 egg-adapted A/California/07/2009 X-179A high growth reassortant vaccine strain.

https://doi.org/10.1371/journal.pone.0092153.s008

(PDF)

Text S1.

Methods for haemagglutinin sequencing, phylogenetic and percent identity analysis.

https://doi.org/10.1371/journal.pone.0092153.s009

(PDF)

Acknowledgments

Authors recognize the invaluable contribution of sentinel sites and the coordination and technical support provided by epidemiologic and laboratory staff in all participating provinces. We wish especially to acknowledge the provincial coordination provided by Quynh Le Ba and Elaine Douglas for TARRANT in Alberta; Hazel Rona of the Winnipeg Regional Health Authority, Manitoba; Romy Olsha and Elizabeth Balogun for Public Health Ontario; and Monique Douville-Fradet, Sophie Auger and Rachid Amini for the Institut national de santé publique du Québec. We also recognize Kanti Pabbaraju, Sallene Wong and Danielle Zarra of the Alberta Provincial Laboratory; Roy Cole of the National Microbiology Laboratory and Cadham Provincial Laboratory, and Kerry Dust of the Cadham Provincial Laboratory in Manitoba; Paul Rosenfeld and Aimin Li of Public Health Ontario; and Joel Ménard and Lyne Désautels of the Québec Provincial Laboratory for their contributions to virus detection and sequencing. We thank Catharine Chambers of the BC Centre for Disease Control for supporting literature review and summary. Finally, we gratefully acknowledge the authors, originating and submitting laboratories of the sequences obtained from GISAID's EpiFlu Database used in the phylogenetic analysis.

GenBank Accession Numbers

KC526204-KC526214 (excepting 208, 209 and 213); KC535019-KC35064 (excepting 026, 030, 045, 047, 050, 058); KC539119-KC539136 (excepting 121); KF761446-KF761513; KF850641-KF850683; KF886348-KF886381.

Author Contributions

Conceived and designed the experiments: DMS GDS JAD MP. Performed the experiments: SS AE KF JBG HC NB PVC MK MP YL. Analyzed the data: NZJ DMS GDS SS AE KF JBG HC NB PVC MK MP YL. Wrote the paper: DMS NZJ GDS SS AE JAD KF ALW JBG MK MP HC NB TLK SMM PVC YL. Data collection: DMS NZJ GDS JAD ALW SMM TLK. Literature search: TLK.

References

  1. 1. Skowronski DM, Janjua NZ, De Serres G, Dickinson JA, Winter AL, et al. (2013) Interim estimates of influenza vaccine effectiveness in 2012/13 from Canada's sentinel surveillance network, January 2013. Euro Surveill 18 ((5)) 7–16 Available: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20394. Accessed 2013 Dec 7.
  2. 2. Public Health Agency of Canada. FluWatch. Available: http://www.phac-aspc.gc.ca/fluwatch/12-13/index-eng.php. Accessed 2013 Dec 7.
  3. 3. National Advisory Committee on Immunization (NACI) (2013) Statement on seasonal influenza vaccine for 2013–2014. Can Commun Dis Rep 39: 1–37 Available: http://www.phac-aspc.gc.ca/publicat/ccdr-rmtc/13vol39/acs-dcc-4/index-eng.php. Accessed 2013 Dec 7.
  4. 4. Bresee J, Hayden FG (2013) Epidemic influenza—responding to the expected but unpredictable. N Engl J Med 368: 589–592 published online February 14. Available: http://www.nejm.org/doi/full/10.1056/NEJMp1300375. Accessed 2013 Dec 7.
  5. 5. Centers for Disease Control and Prevention (CDC). FluView. Atlanta, GA: CDC. Available: http://www.cdc.gov/flu/weekly/pastreports.htm. Accessed 2013 Dec 7.
  6. 6. BC Centre for Disease Control (2013) British Columbia Annual Summary of Reportable Diseases 2012. Available: http://www.bccdc.ca/util/about/annreport/default.htm. Accessed 2013 Dec 7.
  7. 7. BC Centre for Disease Control (2013) Influenza immunization coverage in BC health care facilities. Available: http://www.bccdc.ca/imm-vac/BCImmunizationCov/flucoverage/default.htm. Accessed 2013 Dec 7.
  8. 8. Centers for Disease Control and Prevention (CDC) (2013) Interim adjusted estimates of seasonal influenza vaccine effectiveness – United States, February 2013. MMWR Morb Mortal Wkly Rep 62: 119–123 Available: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6207a2.htm?s_cid=mm6207a2_w. Accessed 2013 Dec 7.
  9. 9. Valenciano M, Kissling E (2013) Early estimates of seasonal influenza vaccine effectiveness in Europe: results from the I-MOVE multicentre case-control study, 2012/13. Euro Surveill 18: 3 Available: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20400. Accessed 2013 Dec 7.
  10. 10. World Health Organization. WHO recommendations on the composition of influenza virus vaccines. Available: http://www.who.int/influenza/vaccines/virus/recommendations/en/index.html. Accessed 2013 Dec 7.
  11. 11. National Institute for Biological Standards and Control (2012) Influenza Reagent – Influenza virus infectious IVR-165. Available: http://www.nibsc.org/documents/ifu/11-220.pdf. Accessed 2013 Dec 7.
  12. 12. Skowronski DM, Gilbert M, Tweed SA, Petric M, Li Y, et al. (2005) Effectiveness of vaccine against medical consultation due to laboratory-confirmed influenza: results from a sentinel physician pilot project in British Columbia, 2004–2005. Can Commun Dis Rep 31: 181–191 Available: http://www.phac-aspc.gc.ca/publicat/ccdr-rmtc/05vol31/dr3118a-eng.php. Accessed 2013 Dec 7.
  13. 13. Skowronski DM, Masaro C, Kwindt TL, Mak A, Petric M, et al. (2007) Estimating vaccine effectiveness against laboratory-confirmed influenza using a sentinel physician network: results from the 2005–2006 season of dual A and B vaccine mismatch in Canada. Vaccine 25: 2842–2851.
  14. 14. Skowronski DM, De Serres G, Dickinson J, Petric M, Mak A, et al. (2009) Component-specific effectiveness of trivalent influenza vaccine as monitored through a sentinel surveillance network in Canada, 2006–2007. J Infect Dis 199: 168–179.
  15. 15. Janjua NZ, Skowronski DM, De Serres G, Dickinson J, Crowcroft NS, et al. (2012) Estimates of influenza vaccine effectiveness for 2007–08 from Canada's sentinel surveillance system: Cross-protection against major and minor variants. J Infect Dis 205: 1858–1868.
  16. 16. Skowronski DM, De Serres G, Crowcroft NS, Janjua NZ, Boulianne N, et al. (2010) Association between the 2008–09 seasonal influenza vaccine and pandemic H1N1 illness during Spring-Summer 2009: four observational studies from Canada. PLoS Med 7 ((4)) e1000258.
  17. 17. Skowronski DM, Janjua NZ, De Serres G, Hottes TS, Dickinson JA, et al. (2011) Effectiveness of AS03-adjuvanted pandemic H1N1 vaccine: case-control evaluation based on sentinel surveillance system in Canada, autumn 2009. BMJ 342: c7297
  18. 18. Skowronski DM, Janjua NZ, De Serres G, Winter AL, Dickinson JA, et al. (2012) A sentinel platform to evaluate influenza vaccine effectiveness and new variant circulation, Canada 2010–11 season. Clin Infect Dis 55: 332–342.
  19. 19. Skowronski DM, Janjua NZ, Sabaiduc S, De Serres G, Winter AL, et al. (2014) Influenza A/subtype and B/lineage effectiveness estimates for the 2011–12 trivalent vaccine: cross-season and cross-lineage protection with unchanged vaccine. J Infect Dis
  20. 20. National Advisory Committee on Immunization (NACI) (2012) Statement on seasonal influenza vaccine for 2012–2013. Can Commun Dis Rep 38: 1–36 Available: http://www.phac-aspc.gc.ca/publicat/ccdr-rmtc/12vol38/acs-dcc-2/index-eng.php. Accessed 2013 Dec 7.
  21. 21. Katz JM, Hancock K, Xu X (2011) Serologic assays for influenza surveillance, diagnosis and vaccine evaluation. Expert Rev Anti Infect Ther 9: 669–683.
  22. 22. Bush RM, Bender CA, Subbarao K, Cox NJ, Fitch WM (1999) Predicting the evolution of human influenza A. Science 286: 1921–1925.
  23. 23. Brownlee GG, Fodor E (2001) The predicted antigenicity of the haemagglutinin of the 1918 Spanish influenza pandemic suggests an avian origin. Phil Trans R Soc Lond 356: 1871–1876.
  24. 24. World Health Organization (2011) WHO information for molecular diagnosis of influenza virus in humans – update. Available: http://www.who.int/influenza/resources/documents/molecular_diagnosis_influenza_virus_humans_update_201108.pdf. Accessed 2013 Dec 7.
  25. 25. Statistics Canada. Table 105-0502 – Health indicator profile, two year period estimates, by age group and sex, Canada, provinces, territories, health regions (2012 boundaries) and peer groups, occasional, CANSIM [database]. Available: http://www.statcan.gc.ca/tables-tableaux/sum-som/l01/cst01/health102b-eng.htm. Accessed 2013 Dec 7.
  26. 26. Broemeling AM, Watson DE, Prebtani F (2008) Population patterns of chronic health conditions, comorbidity and healthcare use in Canada: implications for policy and practice. Healthc Q 11 ((3)) 70–76.
  27. 27. Sauter NK, Hanson JE, Glick GD, Brown JH, Crowther RL, et al. (1992) Binding of influenza virus hemagglutinin to analogs of its cell-surface receptor, sialic acid: analysis by proton nuclear magnetic resonance spectroscopy and X-ray crystallography. Biochemistry 31: 9609–9621.
  28. 28. The PyMOL Molecular Graphics System, Version 1.6 Schrödinger, LLC.
  29. 29. European Centre for Disease Prevention and Control (ECDC) (2014) Influenza virus characterisation. Summary Europe, September 2013. Surveillance report. Stockholm: ECDC. Available: http://ecdc.europa.eu/en/publications/Publications/influenza-virus-characterisation-sep-2013.pdf. Accessed 2014 Feb 4.
  30. 30. Xu R, Ekiert DC, Krause JC, Hai R, Crowe JE Jr, et al. (2010) Structural basis of pre-existing immunity to the 2009 H1N1 pandemic influenza virus. Science 328: 357–360.
  31. 31. Treanor J (2004) Weathering the influenza vaccine crisis. N Engl J Med 351: 2037–2040.
  32. 32. Robertson JS (1993) Clinical influenza virus and the embryonated hen's egg. Rev Med Virol 3: 97–106.
  33. 33. Robertson JS, Nicolson C, Major D, Robertson EW, Wood JM (1993) The role of amniotic passage in the egg-adaptation of human influenza virus is revealed by haemagglutinin sequence analyses. J Gen Virol 74: 2047–2051.
  34. 34. Katz JM, Webster RG (1989) Efficacy of inactivated influenza A virus (H3N2) vaccines grown in mammalian cells or embryonated eggs. J Infect Dis 160: 191–198.
  35. 35. Rocha EP, Xu X, Hall HE, Allen JR, Regnery HL, et al. (1993) Comparison of 10 influenza A (H1N1 and H3N2) haemagglutinin sequences obtained directly from clinical specimens to those of MDCK cell- and egg-grown viruses. J Gen Virol 74: 2513–2518.
  36. 36. Ndifon W, Wingreen NS, Levin SA (2009) Differential neutralization efficiency of hemagglutinin epitopes, antibody interference, and the design of influenza vaccines. Proc Natl Acad Sci U S A 106: 8701–8706.
  37. 37. Popova L, Smith K, West AH, Wilson PC, James JA, et al. (2012) Immunodominance of antigenic site B over site A of hemagglutinin of recent H3N2 influenza viruses. PLoS One 7: e41895 DOI:https://doi.org/10.1371/journal.pone.0041895.
  38. 38. Jin H, Zhou H, Liu H, Chan W, Adhikary L, et al. (2005) Two residues in the hemagglutinin of A/Fujian/411/02-like influenza viruses are responsible for antigenic drift from A/Panama/2007/99. Virology 336: 113–119.
  39. 39. Chen Z, Zhou H, Jin H (2010) The impact of key amino acid substitutions in the hemagglutinin of influenza A (H3N2) viruses on vaccine production and antibody response. Vaccine 28: 4079–4085.
  40. 40. Koel BF, Burke DF, Bestebroer TM, van der Vliet S, Zondag GCM, et al. (2013) Substitutions near the receptor binding site determine major antigenic change during influenza virus evolution. Science 342: 976–979 Doi: 10.1126/science.1244730.
  41. 41. Osterholm MT, Kelley NS, Sommer A, Belongia EA (2012) Efficacy and effectiveness of influenza vaccines: a systematic review and metaanalysis. Lancet Infect Dis 12: 36–44.
  42. 42. Smith DJ, Forrest S, Ackley DH, Perelson AS (1999) Variable efficacy of repeated annual influenza vaccination. Proc Natl Acad Sci U S A 96: 14001–14006.
  43. 43. World Health Organization. Influenza updates. Available: http://www.who.int/influenza/surveillance_monitoring/updates/en/. Accessed 2014 Jan 29.
  44. 44. Skowronski DM, Hamelin ME, Janjua NZ, De Serres G, Gardy JL, et al. (2012) Cross-lineage influenza B and heterologous influenza A antibody responses in vaccinated mice: immunologic interactions and B/Yamagata dominance. PLoS One 7 ((6)) e38929
  45. 45. Skowronski DM, Hottes TS, De Serres G, Ward BJ, Janjua NZ, et al. (2011) Influenza B/Victoria antigen induces strong recall of B/Yamagata but lower B/Victoria response in children primed with two doses of B/Yamagata. Pediatr Infect Dis J 30: 833–839.
  46. 46. Gilca V, De Serres G, Hamelin ME, Boivin G, Quakki M, et al. (2011) Antibody persistence and response to 2010–11 trivalent influenza vaccine one year after a single dose of 2009 AS03-adjuvanted pandemic H1N1 vaccine in children. Vaccine 30: 35–41 Epub 2011 Nov 7.
  47. 47. Tricco AC, Chit A, Soobiah C, Hallett D, Meier G, et al. (2013) Comparing influenza vaccine efficacy against mismatched and matched strains: a systematic review and meta-analysis. BMC Med 11: 153 Available: http://www.biomedcentral.com/1741-7015/11/153. Accessed 2013 Dec 7.
  48. 48. Irving SA, Donahue JG, Shay DK, Ellis-Coyle TL, Belongia EA (2009) Evaluation of self-reported and registry-based influenza vaccination status in a Wisconsin cohort. Vaccine 27: 6546–6549.
  49. 49. Orenstein EW, De Serres G, Haber MJ, Shay DK, Bridges CB, et al. (2007) Methodologic issues regarding the use of three observational study designs to assess influenza vaccine effectiveness. Int J Epidemiol 36: 623–631.
  50. 50. Gilmour H, Hofmann N (2010) H1N1 vaccination. Health Reports 21(4). Statistics Canada, Catalogue no. 82-003-XPE. Available: http://www.statcan.gc.ca/pub/82-003-x/2010004/article/11348-eng.pdf. Accessed 2013 Dec 7.
  51. 51. De Serres G, Skowronski DM, Wu XW, Ambrose CS (2013) The test-negative design: validity, accuracy and precision of vaccine efficacy estimates compared to the gold standard of randomized double-blind placebo-controlled trials. Euro Surveill 18 ((37)) pii:20585 Available: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20585. Accessed 2013 Dec 7.