Conference Paper: Host genetic factors as determinants of immunologic and adverse responses on influenza vaccination in humans

TitleHost genetic factors as determinants of immunologic and adverse responses on influenza vaccination in humans
Authors
Issue Date2013
PublisherInternational Society for Influenza and other Respiratory Virus Diseases (ISIRV). The Abstracts of the Conference is located at: http://optionsviii.controlinfluenza.com/optionsviii/assets/File/Options_VIII_Abstracts_2013.pdf
Citation
The 8th Options for the Control of Influenza Conference, Cape Town, South Africa, 5-10 September 2013. In Conference Abstract, 2013, p. 391-392, abstract no. P2-536 How to Cite?
AbstractBackground: Seasonal influenza epidemics cause a great burden of illnesses, hospitalizations, and deaths worldwide. Although influenza vaccination has generally been regarded as safe and effective in preventing influenza infection, some people do develop poor immune responses or occasional serious adverse events on receiving the vaccination. Little is known about how host genetic determinants are affecting responses to influenza vaccination in humans. Materials and Methods: We used a genetic association study with a candidate gene approach based on a randomized placebocontrolled trial on influenza vaccination to examine the role of host genetic variation on immune years were randomized to receive either an inactivated trivalent seasonal influenza vaccine (TIV) (Vaxigrip, Sanofi Pasteur) or placebo in phases from 2009 to 2010. Vaccine response was defined by a post-vaccination antibody titer of 1:40 or ≥ 4-fold rise in all TIV components. An adverse vaccine responder was defined by an aggregated symptom score ≥ 2 on day 1 post-vaccination, based on 10 symptoms each on a scale of 0 (absent), 1 (mild), 2 (moderate, or 3 (severe), thus having at least 2 mild or 1 moderate symptoms. All participants kept a daily symptom dairy. Whole blood samples from 535 participants receiving TIV were collected for genetic analysis in this study. DNA was extracted and genotyped for single nucleotide polymorphisms for IL-1B-511G>A (rs16944), IL-6-5843A/G (rs1818879), IL-8-251T/A (rs4073), IL-10-082A/G (rs1800896), -819T/C (rs1800871), -592A/C (rs1800872), MBL-2-5232G>A (rs1800451), 221C/G (rs7096206), -34C>T (rs5030737), -550G>C (rs11003125), MxA-88G/T (rs2071430), OSA1-347A/G (rs2660), RIG1 G/C (rs9695310), TLR3- 1377T/G (rs3755290), -7G/T (rs3775296), TLR4 G/A (rs5030718), Asp299Gly (rs4986790), TLR7 Gln11Leu (rs179008), 1817G/T (rs5741880), TLR8-129G/C (rs3764879), Met1Val (rs3764880), and (rs11003131)G/T. Logistic regression models were used to evaluate the relationship of polymorphisms with various outcomes and to compute the ORs and 95% confidence interval (CIs) in relation to vaccination response and adverse vaccination reaction. The heterozygous and homozygous variant genotypes were analyzed both as a nominal and an ordinal variable as consisting, respectively, of one and two variant alleles and compared with the wild-type homozygous genotype. The heterozygous genotype was also grouped with either of the two homozygous genotypes to analyze in a dominant or recessive model. Two-sided P values are reported and P ≤ .05 was considered to indicate statistical significance. Results: Among 535 subjects receiving TIV, 295 were classified as vaccine responders. Polymorphisms IL-6 rs1818879 G mutation in an ordinal model (OR = 1.56, CI = 1.054-2.31), AG (OR = 1.667, CI = 1.109-2.504), and combined AG/GG (OR = 1.637, CI = 1.093-2.454) in a dominant model were associated with increased odds of response. TLR7 rs5741880 GT (OR = 0.161, CI = 0.046-0.566), combined GT/TT (OR = 0.371, CI = 0.159- 0.866) in a dominant model, and TLR3 rs3755290 GG (OR = 0.572, CI = 0.335-0.976) in a recessive model compared with GT/TT were associated with lower odds of response. No serious vaccine response, including anaphylaxis or shock, was reported by any recipient. With a symptom score ≥ 2, 26.1% were classified as adverse responders for TIV. IL-6 rs1818879 AG (OR = 1.833, CI = 1.14- 2.945) and combined AG/GG (OR = 1.778, CI = 1.108-2.854) were associated with a higher risk, while CCL1 rs2282691 AT (OR = 0.578, CI = 0.347-0.963) was associated with a lower risk of adverse response. All these effects of polymorphisms in relation to vaccination response are compatible with the current understanding regarding the role played by those genes in either the pathogenesis or immunological response to influenza infection. Conclusions: Our findings suggest the potential role of host genetic variation and identified genetic determinants that affect the immunological and adverse responses to seasonal influenza vaccination in humans. These findings may help to explain the great variability in protection achieved by influenza vaccination.
DescriptionPoster Session: Vaccines
Persistent Identifierhttp://hdl.handle.net/10722/202065

 

DC FieldValueLanguage
dc.contributor.authorIp, DKMen_US
dc.contributor.authorCherny, SSen_US
dc.contributor.authorLeung, GMen_US
dc.contributor.authorCowling, BJen_US
dc.date.accessioned2014-08-21T08:01:23Z-
dc.date.available2014-08-21T08:01:23Z-
dc.date.issued2013en_US
dc.identifier.citationThe 8th Options for the Control of Influenza Conference, Cape Town, South Africa, 5-10 September 2013. In Conference Abstract, 2013, p. 391-392, abstract no. P2-536en_US
dc.identifier.urihttp://hdl.handle.net/10722/202065-
dc.descriptionPoster Session: Vaccines-
dc.description.abstractBackground: Seasonal influenza epidemics cause a great burden of illnesses, hospitalizations, and deaths worldwide. Although influenza vaccination has generally been regarded as safe and effective in preventing influenza infection, some people do develop poor immune responses or occasional serious adverse events on receiving the vaccination. Little is known about how host genetic determinants are affecting responses to influenza vaccination in humans. Materials and Methods: We used a genetic association study with a candidate gene approach based on a randomized placebocontrolled trial on influenza vaccination to examine the role of host genetic variation on immune years were randomized to receive either an inactivated trivalent seasonal influenza vaccine (TIV) (Vaxigrip, Sanofi Pasteur) or placebo in phases from 2009 to 2010. Vaccine response was defined by a post-vaccination antibody titer of 1:40 or ≥ 4-fold rise in all TIV components. An adverse vaccine responder was defined by an aggregated symptom score ≥ 2 on day 1 post-vaccination, based on 10 symptoms each on a scale of 0 (absent), 1 (mild), 2 (moderate, or 3 (severe), thus having at least 2 mild or 1 moderate symptoms. All participants kept a daily symptom dairy. Whole blood samples from 535 participants receiving TIV were collected for genetic analysis in this study. DNA was extracted and genotyped for single nucleotide polymorphisms for IL-1B-511G>A (rs16944), IL-6-5843A/G (rs1818879), IL-8-251T/A (rs4073), IL-10-082A/G (rs1800896), -819T/C (rs1800871), -592A/C (rs1800872), MBL-2-5232G>A (rs1800451), 221C/G (rs7096206), -34C>T (rs5030737), -550G>C (rs11003125), MxA-88G/T (rs2071430), OSA1-347A/G (rs2660), RIG1 G/C (rs9695310), TLR3- 1377T/G (rs3755290), -7G/T (rs3775296), TLR4 G/A (rs5030718), Asp299Gly (rs4986790), TLR7 Gln11Leu (rs179008), 1817G/T (rs5741880), TLR8-129G/C (rs3764879), Met1Val (rs3764880), and (rs11003131)G/T. Logistic regression models were used to evaluate the relationship of polymorphisms with various outcomes and to compute the ORs and 95% confidence interval (CIs) in relation to vaccination response and adverse vaccination reaction. The heterozygous and homozygous variant genotypes were analyzed both as a nominal and an ordinal variable as consisting, respectively, of one and two variant alleles and compared with the wild-type homozygous genotype. The heterozygous genotype was also grouped with either of the two homozygous genotypes to analyze in a dominant or recessive model. Two-sided P values are reported and P ≤ .05 was considered to indicate statistical significance. Results: Among 535 subjects receiving TIV, 295 were classified as vaccine responders. Polymorphisms IL-6 rs1818879 G mutation in an ordinal model (OR = 1.56, CI = 1.054-2.31), AG (OR = 1.667, CI = 1.109-2.504), and combined AG/GG (OR = 1.637, CI = 1.093-2.454) in a dominant model were associated with increased odds of response. TLR7 rs5741880 GT (OR = 0.161, CI = 0.046-0.566), combined GT/TT (OR = 0.371, CI = 0.159- 0.866) in a dominant model, and TLR3 rs3755290 GG (OR = 0.572, CI = 0.335-0.976) in a recessive model compared with GT/TT were associated with lower odds of response. No serious vaccine response, including anaphylaxis or shock, was reported by any recipient. With a symptom score ≥ 2, 26.1% were classified as adverse responders for TIV. IL-6 rs1818879 AG (OR = 1.833, CI = 1.14- 2.945) and combined AG/GG (OR = 1.778, CI = 1.108-2.854) were associated with a higher risk, while CCL1 rs2282691 AT (OR = 0.578, CI = 0.347-0.963) was associated with a lower risk of adverse response. All these effects of polymorphisms in relation to vaccination response are compatible with the current understanding regarding the role played by those genes in either the pathogenesis or immunological response to influenza infection. Conclusions: Our findings suggest the potential role of host genetic variation and identified genetic determinants that affect the immunological and adverse responses to seasonal influenza vaccination in humans. These findings may help to explain the great variability in protection achieved by influenza vaccination.-
dc.languageengen_US
dc.publisherInternational Society for Influenza and other Respiratory Virus Diseases (ISIRV). The Abstracts of the Conference is located at: http://optionsviii.controlinfluenza.com/optionsviii/assets/File/Options_VIII_Abstracts_2013.pdfen_US
dc.relation.ispartofISIRV Options-8 Conferenceen_US
dc.titleHost genetic factors as determinants of immunologic and adverse responses on influenza vaccination in humansen_US
dc.typeConference_Paperen_US
dc.identifier.emailIp, DKM: dkmip@hku.hken_US
dc.identifier.emailCherny, SS: cherny@hku.hken_US
dc.identifier.emailLeung, GM: gmleung@hku.hken_US
dc.identifier.emailCowling, BJ: bcowling@hku.hken_US
dc.identifier.authorityIp, DKM=rp00256en_US
dc.identifier.authorityCherny, SS=rp00232en_US
dc.identifier.authorityLeung, GM=rp00460en_US
dc.identifier.authorityCowling, BJ=rp01326en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros233352en_US
dc.identifier.spage391, abstract no. P2-536-
dc.identifier.epage392, abstract no. P2-536-
dc.publisher.placeUnited Kingdom-

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