| Literature DB >> 29263866 |
Alexander J McAuley1,2,3, Bevan Sawatsky4, Thomas Ksiazek2,5, Maricela Torres1, Miša Korva6, Stanka Lotrič-Furlan7, Tatjana Avšič-Županc6, Veronika von Messling4, Michael R Holbrook8, Alexander N Freiberg2,5, David W C Beasley1,2,9, Dennis A Bente1,2.
Abstract
The tick-borne encephalitis complex contains a number of flaviviruses that share close genetic homology, and are responsible for significant human morbidity and mortality with widespread geographical range. Although many members of this complex have been recognised for decades, licenced human vaccines with broad availability are only available for tick-borne encephalitis virus. While tick-borne encephalitis virus vaccines have been demonstrated to induce significant protective immunity, as determined by virus-neutralisation titres, vaccine breakthrough (clinical infection following complete vaccination), has been described. The aim of this study was to confirm the cross-neutralisation of tick-borne flaviviruses using mouse immune ascitic fluids, and to determine the magnitude of cross-neutralising antibody titres in sera from donors following tick-borne encephalitis vaccination, infection, and vaccine breakthrough. The results demonstrate that there is significant cross-neutralisation of representative members of the tick-borne encephalitis complex following vaccination and/or infection, and that the magnitude of immune responses varies based upon the exposure type. Donor sera successfully neutralised most of the viruses tested, with 85% of vaccinees neutralising Kyasanur forest disease virus and 73% of vaccinees neutralising Alkhumra virus. By contrast, only 63% of vaccinees neutralised Powassan virus, with none of these neutralisation titres exceeding 1:60. Taken together, the data suggest that tick-borne encephalitis virus vaccination may protect against most of the members of the tick-borne encephalitis complex including Kyasanur forest disease virus and Alkhumra virus, but that the neutralisation of Powassan virus following tick-borne encephalitis vaccination is minimal.Entities:
Year: 2017 PMID: 29263866 PMCID: PMC5627269 DOI: 10.1038/s41541-017-0009-5
Source DB: PubMed Journal: NPJ Vaccines ISSN: 2059-0105 Impact factor: 7.344
Fig. 1Alignment and percent amino-acid identity between tick-borne flavivirus membrane (M) and envelope (E) proteins. Amino-acid sequences for the envelope glycoprotein (E; Fig. 1a) and mature membrane protein (M; Fig. 1b) of seven tick-borne flavivirus strains (listed in Table 1) were aligned using MUSCLE in Geneious R9 (Biomatters, Auckland, New Zealand). Domains of E (EI, EII, EIII and stem-helix) are denoted by red, orange, blue and black bars, respectively, underneath the alignment. The mature M protein sequence is underlined with a green bar. The percent amino-acid identity between the different virus E and M proteins is given in Fig. 1c
Viruses used for cross-neutralisation studies and MIAF production
| Virus | Strain | Accession number | Used w/MIAF | Used w/human sera | MIAF reference number |
|---|---|---|---|---|---|
| TBEV | Hypr | U39292 | Yes | Yes | R181 |
| TBEV | Sofjin | AB062064 | Yes | Yes | R184 |
| OHFV | Guriev | AB507800 | Yes | Yes | — |
| OHFV | Kubrin | AY438626 | — | — | R158 |
| AHFV | Zaki-1 | JF416956 | Yes | Yes | R204 |
| AHFV | 200300001 | JF416954 | Yes | No | R050 |
| KFDV | P9605 | HM055369 | Yes | Yes | R157 |
| POWV | LB | L06436 | Yes | Yes | POWV LB MIAF |
Fig. 2Cross-neutralisation of tick-borne flaviviruses with virus-specific mouse immune ascitic fluids (MIAFs). Seven tick-borne flaviviruses (listed in Table 1) were neutralised by MIAFs raised against homologous and heterologous virus strains, with the neutralisation (NT50) titres presented in a heatmap. Homologous neutralisation is highlighted by blue boxes around the neutralisation titres (the green box for OHFV indicates a heterologous strain). The donor viruses were grouped based upon MrBayes phylogenetic analysis of the M-E amino-acid sequences (analysis performed using Geneious R9), while the MIAF cross-neutralisation responses were grouped based upon hierarchical clustering (performed using Mathematica v10; Wolfram Research, Champaign, IL)
Donor information for TBEV human serum samples
| Vaccinee samples | Infectee samples | Vaccine breakthrough samples | |
|---|---|---|---|
| Sex | 5M, 10F, 4Unk (67% female) | 8M, 5F (38% female) | 3M, 2F (40% female) |
| Median age at vaccination | 36.5 years (15–48)a | — | 63 years (60–71) |
| Median age at infection | — | 52 years (7–72) | 67 years (64–72) |
| Median time between vaccination and infection | — | — | 3 years (0.5–4) |
| Median age at sample draw (first sample) | 38 years (24–55) | 52 years (7–72) | 69 years (64–73) |
| Median time between vaccination and sample draw (first sample) | 23 months (3–204) | — | 48 months (12–72) |
| Median time between infection and sample draw (first sample) | — | 6 months (1.5–120) | 12 months (6–24) |
| Full TBEV vaccination course? | Yes: 15, No: 0a | — | Yes: 5 |
| TBEV vaccine boosters? | Yes: 3, No: 12a | — | Unknown: 5 |
| Previous YFV vaccination? | Yes: 11, No: 4a | — | — |
| Previous JEV vaccination? | Yes: 4, No: 11a | — | — |
a Information not available for four donors
Fig. 3Cross-neutralisation of tick-borne flaviviruses with TBEV vaccinee, infectee and vaccine breakthrough human sera. Six tick-borne flaviviruses (listed in Table 1) were neutralised using human serum samples from TBEV vaccinees, infectees and vaccine breakthroughs, with the NT50 neutralisation titres presented in a heatmap (Fig. 3a). Letters a, b, c and d next to donor numbers indicate multiple samples taken at different timepoints. For vaccinees who had also received the YFV vaccine, anti-YFV 17D PRNT50 titres were also determined. Percentage of donors with neutralising titres are stated for each exposure type. Test viruses were grouped based upon MrBayes phylogenetic analysis of the M-E amino-acid sequences. The geometric mean neutralisation titre (GMT) and standard error for each virus and exposure type were calculated and plotted both equally spaced (Fig. 3b) and arranged based upon the percent M-E identity with TBEV Hypr (Fig. 3c). Each individual neutralisation profile (Fig. 3d; faint lines) and GMT (bold lines) were plotted for each exposure type. Test viruses were hierarchically clustered based upon cross-neutralisation by the donor sera. Since the data for some groups violated the equal variance assumption, comparison of neutralising titres between groups was performed using one-way Welch’s analysis of variance with Games-Howell post hoc analysis:*Denotes p < 0.05, **Denotes p < 0.01 and ***Denotes p < 0.001. Red stars represent comparison between the vaccinee and infectee donors, yellow stars represent comparison between the vaccinee and vaccine-breakthrough donors, while blue represents comparison of infectee and vaccine-breakthrough donors
Fig. 4Correlation between exposure types, effect of time on neutralisation titre, and comparison of TBEV and YFV vaccination titres. The geometric mean neutralisation titres for each virus were correlated based upon exposure type (Fig. 4a), with correlation analysis performed using a Log-Log non-linear curve fit in GraphPad Prism 7 (GraphPad, La Jolla, CA). Infectee and vaccine breakthrough donors who had multiple samples from different timepoints were analysed in a temporal manner (Fig. 4b) to determine whether neutralisation titres waned with time. Comparison of TBEV Hypr and YFV 17 vaccine-to-blood draw interval, as well as NT50 and PRNT50 values, were performed using a Log-Log non-linear curve fit (Fig. 4c). In addition, comparison of TBEV Hypr NT50 and YFV 17D PRNT50 neutralisation titres with the vaccine-to-blood draw interval was performed (Fig. 4d)