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Impact of aging and HIV infection on serologic response to seasonal influenza vaccination
 
 
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"Our findings point to impaired vaccine responses in all ages in HIV-infection with responses in young HIV+ participants approximating those of old HIV-uninfected healthy controls.....Figure 2 shows status of vaccine responsiveness to each strain, as well as absolute responders. Overall, HIV+ had fewer vaccine responders for H1N1 and H3N2 and fewer absolute responders than the HIV- (Fig. 2a) with the young HIV+ showing the greatest differences from young HIV-, with fewer vaccine responders to B and H3N2 and fewer absolute responders (Fig. 2b). The middle-age HIV+ group had fewer vaccine responders to H1N1 and B and less absolute responders compared with HIV- (Fig. 2c). Old HIV+ vaccine responders frequencies were similar to old HIV- for individual antigens and for absolute responders (Fig. 2d)........Centers for Disease Control and Prevention offers a 'high-dose vaccine' that contains four times the amount of antigen as the regular vaccine as an optional choice for people at least 65 years for improving vaccine efficacy in older population [35]. In a clinical trial, this dose resulted in 24% fewer influenza infections in adults at least 65 years compared with the standard dose [36]. Although the high-dose vaccine has been approved in the US since 2009, it is not in regular use. Several novel adjuvants and newer vaccine approaches (reviewed in [37]) utilizing synthetic peptides, virus-like particles and viral vectors are under investigation or in development. A universal conserved vaccine that protects from antigenic drift and antigenic shift and confers lifelong immunity, circumventing the need for yearly seasonal vaccinations, could prove highly beneficial [37-39]. Based on our findings, we recommend that measures that improve influenza vaccine responses should be considered. For example, high-potency vaccine recommendations for the elderly could be extended to include HIV+ of all ages. Alternatively, booster vaccinations for all vulnerable populations may be worth investigating."
 
AIDS June 1 2018 - Pallikkuth, Suresha; De Armas, Lesley, R.a; Pahwa, Rajendraa; Rinaldi, Stefanoa; George, Varghese, K.a; Sanchez, Celeste, M.a; Pan, Lia; Dickinson, Gordonb,d; Rodriguez, Allanb; Fischl, Margaretc; Alcaide, Mariab; Pahwa, Savitaa
 
Objective: To determine influence of age and HIV infection on influenza vaccine responses. Design: Evaluate serologic response to seasonal trivalent influenza vaccine (TIV) as the immunologic outcome in HIV-infected (HIV+) and age-matched HIV negative (HIV-) adults. Methods: During 2013-2016, 151 virologically controlled HIV+ individuals on antiretroviral therapy and 164 HIV- volunteers grouped by age as young (<40 years), middle aged (40-59 years) and old (≥60 years) were administered TIV and investigated for serum antibody response to vaccine antigens.
 
Results: At prevaccination (T0) titers were in seroprotective range in more than 90% of participants. Antibody titers increased in all participants postvaccination but frequency of classified vaccine responders to individual or all three vaccine antigens at 3-4 weeks was higher in HIV- than HIV+ adults with the greatest differences manifesting in the young age group. Of the three vaccine strains in TIV, antibody responses at T2 were weakest against H3N2 with those to H1N1 and B antigens dominating. Among the age groups, the titers for H1N1 and B were lowest in old age, with evidence of an age-associated interaction in HIV+ persons with antibody to B antigen.
 
Conclusion: Greater frequencies of vaccine nonresponders are seen in HIV+ young compared with HIV- adults and the observed age-associated interaction for B antigen in HIV+ persons are supportive of the concept of premature immune senescence in controlled HIV infection. High-potency influenza vaccination recommended for healthy aging could be considered for HIV+ adults of all ages.
 
Introduction
 
Influenza virus infections occur in 5-20% of the US population annually with more than 200 000 hospitalizations and approximately 36 000 deaths; the greatest risk manifesting in individuals of at least 65 years of age [1-3] attributed to waning immunity in old age [1-3]. A patient group that is increasingly joining the ranks of the aged is the HIV infected, resulting from improved survival due to effectiveness of combination antiretroviral therapy (ART) [4,5]. In 2014, 45% of people living with HIV infection (HIV+) in the United States were 50 years or older, and this age group is expected to exceed 70% by 2020 [6]. Importantly, features of inflammation (reviewed in [7,8]) can persist in HIV+ despite virologic control on ART [9-12]. Based on epigenetic modeling, HIV+ were found to age faster than HIV uninfected by an average of 4.9 years with a 19% increased risk of mortality [13], but whether their immune function decline is also accelerated is not well understood.
 
Due to the increased risk for influenza in the elderly, current recommendations are that people aged at least 65 be given yearly seasonal influenza vaccine [3]. Influenza vaccines currently in use in the United States of America are unadjuvanted and typically consist of a mixture of influenza A and B from three or four viral strains predicted to circulate in the upcoming season [3,14]. However, the effectiveness of this vaccine for clinical protection is variable [15] in HIV uninfected and in HIV infected. The aim of this study was to investigate the impact of age and HIV infection on serologic response to seasonal influenza vaccination. A total of 315 adults ranging in age from 18 to 83 years participated in FLORAH (FLu Responses Of people in relation to Age and HIV) and 257 out of them were reanalyzed in FIND (FInding Novel Determinants of Flu responses) to exclude participants in the upper quartile (>320) of baseline H1N1 titers. Our findings point to impaired vaccine responses in all ages in HIV-infection with responses in young HIV+ participants approximating those of old HIV-uninfected healthy controls.
 
Results
 
Serology and vaccine responsiveness in relation to age and HIV status
 
Geometric mean antibody titers for HIV+ and HIV- participants in different age groups at all time points are detailed in Fig. 1 for antigens H1N1 (Fig. 1a); B (Fig. 1b) and H3N2 (Fig. 1c); statistical analysis of antibody responses at different time points in different study groups and differences among the groups are depicted in Tables S1 and S2, http://links.lww.com/QAD/B231, respectively. Prevaccination titers for all antigens ranged from 10 to 5120 with levels at least 1 : 40 in 90-98% of study participants and were equal or greater in the young compared with other age groups. Titers at T0 were similar across the three test seasons in all age groups in HIV+ (Fig. S1A, C, E, http://links.lww.com/QAD/B231) and HIV- (Fig. S1B, D, F, http://links.lww.com/QAD/B231). Figure 1 and Table S1, http://links.lww.com/QAD/B231 show responses at different time points with a variable but significant increase in titers from T0 to T1 and from T0 to T2 for all antigens in all participant groups, but an increase from T1 and T2 occurred only in the HIV-, evident for all antigens in the young and for H1N1 and B antigens in the middle age. Antibody decay based on decrease in titers from T2 to T3 was noted for H1N1 and H3N2 antigen in all the HIV- age groups and only in young HIV+ (Fig. 1a, c and Table S1, http://links.lww.com/QAD/B231). Antibody titers at T0 for H1N1, B and H3N2 correlated inversely with respective fold change in antibody titers at T2 over T0 (T2/T0) in both HIV- and HIV+ groups (Fig. S2, http://links.lww.com/QAD/B231).

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Comparison between HIV+ vs. HIV- in different age groups at each time point (Table S2, http://links.lww.com/QAD/B231) showed that young HIV- compared with young HIV+ had higher titers to B and H3N2 at T2 and for B and H1N1 at T3. In old age, H3N2 titers were higher in HIV- than HIV+ at T1 and T2, but titers for H1N1 and B were not different at any time point. Comparing ages within the HIV+ and HIV- (Table S2, http://links.lww.com/QAD/B231), the HIV- old had lower titers for H1N1 at T0-T3, and for B at T1-T3 compared with young, whereas H3N2 titer was similar to young at all the time points. HIV+ old had lower titers for H1N1 than young at T0-T2, whereas H3N2 and B titers were equivalent at T2 and T3.
 
Figure 2 shows status of vaccine responsiveness to each strain, as well as absolute responders. Overall, HIV+ had fewer vaccine responders for H1N1 and H3N2 and fewer absolute responders than the HIV- (Fig. 2a) with the young HIV+ showing the greatest differences from young HIV-, with fewer vaccine responders to B and H3N2 and fewer absolute responders (Fig. 2b). The middle-age HIV+ group had fewer vaccine responders to H1N1 and B and less absolute responders compared with HIV- (Fig. 2c). Old HIV+ vaccine responders frequencies were similar to old HIV- for individual antigens and for absolute responders (Fig. 2d). Comparing age groups within HIV+ and HIV-, young and old HIV- showed fewer vaccine responders to H1N1 compared with middle age HIV- group, whereas young and old HIV+ showed fewer vaccine responders to H3N2 compared with middle-age HIV+. As the T0 titers were high with a negative association to T2/T0 fold change for all the antigens in both HIV+ and HIV-, we also investigated the FIND subgroup which excluded participants with a baseline H1N1 titer of more than 320. As shown in Fig. 2e-h, the result concurred with, and reinforced the findings of the entire cohort. Overall, FIND participants showed higher frequencies of vaccine responders mainly in HIV- groups and the differences in frequencies of vaccine responders and VNR between HIV+ and HIV- were more significant.

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Individual vaccine antigens contribute disproportionately to whole vaccine response in different groups
 
We adopted a statistical approach in which products from a linear regression analysis for H1N1, H3N2 and B responses were used as explanatory variables to predict the antibody response to whole vaccine at each time point. Contribution of antibody response against each vaccine antigen in relation to the observed whole vaccine response in young, middle-age and old groups are shown in Fig. 3 at T0 (Fig. 3a), T1 (Fig. 3b), T2 (Fig. 3c) and T3 (Fig. 3d). The data are summarized in Supplementary Table S3, http://links.lww.com/QAD/B231 for HIV+ and Table S4, http://links.lww.com/QAD/B231 for HIV-groups. Overall, antibody to B and H1N1 antigens predominated in the whole vaccine response, whereas H3N2 elicited a weak response at all the time points. In young HIV-, antibody to H1N1 and B antigen were nearly equivalent to each other from T0 to T2 with persistence mainly of antibody to B antigen at T3. In young HIV+, H1N1 antibody was greater than HIV-, whereas antibody to B antigen was similar to HIV- at T0, but antibody to B antigen predominated at T1 and T2 constituting 80 and 60%, respectively, of the whole vaccine response; at T3, antibody to B antigen was lower and was similar to T0 levels. In the middle age HIV-, the major contribution of whole vaccine response at T0, T1 and T2 was from antibody to B antigen, whereas H1N1 antibody remained low at 20% at all time points and H3N2 surpassed other antibody at T3. In contrast, in middle-age HIV+, antibody to H1N1 was the major contributor at all time points, followed by antibody to B antigen except at T3 in which they were equivalent. In old HIV-, antibody to all strains were lower at T0, but thereafter, antibody to H1N1 dominated at all time points, whereas in old HIV+, antibody to B antigen dominated at T0 through T2 with lower levels of H1N1 and H3N2 antibody at T1 and T2 and equivalent H1N1 and B antibody at T3.
 
Interaction of HIV infection with age on serum titers against trivalent influenza vaccine
 
Correlation analyses were performed to determine how antibody responses to individual vaccine antigens associated with age in HIV+ and HIV- (Fig. 4). H1N1 antibody titers at T0 (Fig. 4a), T1 (Fig. 4b) and T2 (Fig. 4c) inversely correlated with age in both HIV+ and HIV-. However, B titers at T1 (Fig. 4d), T2 (Fig. 4e) and T3 (Fig. 4f) and T3/T0 fold change (Fig. 4g) inversely correlated with age in HIV-. Antibody titers against H3N2 or fold change in antibody titer to H1N1 or H3N2 did not correlate with age in either group. Linear regression analysis revealed interaction between titer and T3/T0 fold change for B Ag at T3. Multiple univariate linear regression analysis (Table S5, http://links.lww.com/QAD/B231) revealed influences of age, CD4+ cell counts and CD4+/CD8+ ratio in HIV- on H1N1 response at T0, T1, T2, T3 and on B response at T2, T3, and in HIV+ on H1N1 response at T1 and T2 and on B response at T2. However, absolute CD4+ cell count and CD4+/CD8+ ratio did not interact with each other or with age in predicting H1N1 or B response in HIV+ or HIV-. Further investigation of age and HIV effects on titers to B Ag showed no influence of HIV in any of eight age subgroups at T0 (Fig. 4h), but starting at an age range of 36-45 years, HIV+ and HIV- were significantly different at T1, T2 and T3 and continued in older age subgroups at T2 and T3 (Fig. 4i-k). Time under ART in HIV+ did not influence the antibody response in this model (not shown).
 
CMV serostatus did not influence antibody response
 
CMV seropositivity was higher in the HIV+ compared with HIV- for young, middle age and old age groups (Fig. S3A-C, http://links.lww.com/QAD/B231), although age itself did not affect CMV status. No association was found between CMV serostatus and antibody response to H1N1, H3N2 and B at any time point (not shown).
 
Discussion
 
Aging and HIV infection have each been considered to be immune deficient states, but the effect of aging in virologically suppressed HIV+ is not well understood. Influenza vaccination is recommended in old age and in HIV infection but clinical protection is not guaranteed. In the current study, we investigated the serologic response to TIV in relation to aging and HIV. Our observations identified issues that are relevant for understanding the influenza vaccine response in the current period. Almost universally, prevaccination antibody titers of more than 1 : 40 (considered to be seroprotective) were present for all vaccine antigens in TIV in both HIV+ and HIV- of all ages, most likely due to past immunizations [20,21] and infectious episodes. Significant increases in antibody titer from baseline to 1 week and 3-4 weeks postvaccination occurred in all study participant groups but frequency of classified vaccine responders to individual Ag or absolute responders to all three antigens was relatively low, based on response criteria of four-fold increase from baseline titer. Following exclusion of participants with baseline titers of more than 320, absolute responders increased by 6 and 10% in HIV+ and HIV-, respectively. Overall vaccine responders were higher in HIV- than HIV+; significantly, frequencies of VNR in HIV+ compared with HIV- were maximal in young rather than old age groups suggestive of immunosenescence, the effect of which dominates in younger age and is overshadowed by universal immune deficiencies associated with biologic aging.
 
The high-baseline titers to influenza antigens posed a challenge for designating participants as vaccine responders or VNR based on the current guidelines that require a four-fold increase in titer postvaccination. In the current study, although all participant groups developed a significant increase in their antibody titers to all antigens from T0 to T2, only some were able to achieve a designation of vaccine responders (e.g. vaccine responders to H1N1 were 53% in HIV- and 30% in HIV+). More stringent criteria using absolute responders showed fewer vaccine responders, although the HIV- at 32% were greater than HIV+ at 14%. The frequencies of vaccine responders were increased by 10% in HIV- and 6% in HIV+ in the FIND cohort with 320 or less T0 titer, without altering the landscape of fewer absolute responders in HIV+ (HIV- 42% and HIV+ 18%). We chose an arbitrary cutoff of 320 in the study population that excluded the upper quartile of participants who had the highest baseline titers. For defining vaccine responders, we suggest an alternative or additional definition based on absolute vaccine responders status to incorporate responsiveness to all vaccine antigens. Exclusion of higher prevaccination titers may also assist in defining vaccine responsiveness.
 
Recent studies raise doubts about clinical protection from influenza infection in vaccinated people despite a HAI titer of 1 : 40 and suggest that current seasonal vaccines are underperforming. The seroprotection threshold of 1 : 40 was based on clinical protection data derived from nearly 24 clinical challenge and field studies performed in the 1970s and 1980s conducted mostly in healthy children and young adults [22,23]. In limited controlled virus challenge studies in adults, this titer was associated with only 50% reduction of infection [24]. The overall seasonal vaccine effectiveness over the past 10 years has ranged from 10 to 50% with a mean of 41% in adults [2,25], not considering populations with greater risk of severe disease from influenza like HIV+ and older individuals [26]. Furthermore, almost every year one or more of the three strains in seasonal influenza vaccines have to be changed as a result of antigenic drift, with an unknown effect on the clinical protection. In practice, the threshold for antibody titers required for clinical protection is unknown [23]. Regardless of uncertainties about the seroprotection threshold, seasonal vaccination has protected vulnerable populations and saved lives and should be continued, whereas research is pursued to improve vaccine efficacy.
 
A major objective of our study was to ascertain the effect of aging and HIV infection on flu vaccine responses, prompted by our earlier study in a small group of postmenopausal HIV+ women that revealed a lower antibody response to H1N1 antigen compared with HIV- postmenopausal women [16], suggesting an additive deleterious effect of HIV infection on aging. Analysis of the interactions between age and vaccine responses showed that the antibody titer and T3/T0 fold change for the B strain interacted with age in HV+ participants. The main factor driving this interaction was the muted response in young HIV+ compared with HIV-, the difference becoming evident in the 36-45 years age group starting at T1 and becoming more evident at T2 and T3. Absolute CD4+ cell counts and CD4+/CD8+ ratio at baseline [27,28] as well as nadir CD4+ [29] are also known to influence vaccine response in HIV+ virally suppressed patients on ART. We found an independent association of age and absolute CD4+ cell count and CD4+/CD8+ ratio without interactions between them in predicting the H1N1 and B Ag response. We were unable to evaluate the role of nadir CD4+ T cells as we did not have access to this information. Nevertheless, our findings support the concept of premature immunosenescence in HIV infection as corroborated by the interaction of age with B antigen responses, along with lower frequency of absolute responders in the HIV+ compared with HIV- in the young and middle age groups [4,30].
 
Analysis of antibody responses to individual vaccine antigens revealed an increase post vaccination to all antigens as shown in Fig. 1 and Table S1, http://links.lww.com/QAD/B231. In an attempt to understand how different antigens in the vaccine contribute to the magnitude of the overall whole vaccine response, we found that antibody to B and H1N1 predominated over H3N2, implying that immunodominance of individual antigens in a combination vaccine may differ. TIV contains equal amounts of HA (15 μg) for all antigens, and yet the majority of the influenza infections in the elderly and HIV+ have been caused by H3N2 virus in recent years [31]. During the 2012/13 influenza season, most infections were caused by H3N2 A/Victoria/361/2011, and the seasonal TIV provided protection in only an estimated 9% of elderly (age >60 years) vaccine recipients [32,33]. Low vaccine efficacy to H3N2 in that study was believed to be related to mutations in the egg-adapted H3N2 strain rather than antigenic drift in circulating viruses and underscores the need to monitor vaccine viruses as well as circulating strains to explain vaccine performance [26]. The latest report on the influenza activity in the United States during 2016-2017 indicates vaccine effectiveness in HIV- adults of 34% for H3N2 and 56% for B strain [34]. Adjusting proportions of antigens in combination vaccines could potentially improve responses to less immunogenic strains like H3N2.
 
The falloff in response observed at T3 might be remarked as germane to the waning efficacy in seasonal influenza vaccination, and it is possible that delaying the time of vaccination to October or November instead of August or September in older adults could offer protection later in the season. As influenza vaccine in the United States does not contain adjuvants, increasing vaccine dose is another strategy for better engagement of immune system for improving the vaccine response. Centers for Disease Control and Prevention offers a 'high-dose vaccine' that contains four times the amount of antigen as the regular vaccine as an optional choice for people at least 65 years for improving vaccine efficacy in older population [35]. In a clinical trial, this dose resulted in 24% fewer influenza infections in adults at least 65 years compared with the standard dose [36]. Although the high-dose vaccine has been approved in the US since 2009, it is not in regular use. Several novel adjuvants and newer vaccine approaches (reviewed in [37]) utilizing synthetic peptides, virus-like particles and viral vectors are under investigation or in development. A universal conserved vaccine that protects from antigenic drift and antigenic shift and confers lifelong immunity, circumventing the need for yearly seasonal vaccinations, could prove highly beneficial [37-39]. Based on our findings, we recommend that measures that improve influenza vaccine responses should be considered. For example, high-potency vaccine recommendations for the elderly could be extended to include HIV+ of all ages. Alternatively, booster vaccinations for all vulnerable populations may be worth investigating.

 
 
 
 
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