Background
Highly effective, novel mRNA vaccines were developed precipitously for prevention of 2019 Coronavirus disease (COVID-19), resulting in significantly decreased morbidity, mortality [
1‐
3].
Key determinants of vaccine efficacy emerged following global COVID-19 vaccine rollout [
4], including host factors (i.e. age, immunocompromised status), viral factors (i.e. variants of concern (VOC)/sub-variants exhibiting varying immune evasion levels), and vaccine-related factors (i.e. waning immune responses). These factors interact to cause increased susceptibility to SARS-CoV-2 infection/reinfection and have led to additional vaccine doses (boosters). However, key factors that should inform booster vaccine frequency are robustness, breadth, durability of immune responses to vaccination over time, correlated with clinical outcomes.
Incomplete information on COVID-19 vaccination durability in those with underlying immune dysregulation remains—particularly in people living with HIV (PWH). Therefore, we sought to assess level, breadth, durability of immune responses 6 months post-primary COVID-19 vaccination among older PWH.
Methods
A cohort of PWH (≥ 55 years) who received BNT162b2 COVID-19 vaccination primary series at Yale New Haven Health System (YNHHS) vaccination sites were followed over 6 months. Individuals with prior laboratory-confirmed or breakthrough COVID-19 were excluded.
Subjects were recruited from a prepopulated schedule prior to visit/on-site for 3 visits: Visit 1 [3 weeks post-first vaccination (published previously [
5])]; Visit 2 [2 weeks (+ 1 week window) post-second vaccination]; Visit 3 [6 months (± 2 week window) post-first vaccination].
SARS-CoV-2 semi-quantitative Anti-Spike 1-RBD IgG was performed (Roche Elecsys, under US FDA Emergency Use Authorization [99.5% sensitivity, 99.8% specificity]) on cryopreserved sera (Visit 2), and fresh sera (Visit 3) to determine Visit 2/3 antibody levels. Positive SARS-CoV-2 qualitative anti-nucleocapsid antibody (Roche Elecsys) led to exclusion of subjects with COVID-19 history from analyses.
SARS-CoV-2 vaccine T-cell immunogenicity testing
Cryopreserved PBMCs were thawed, rested, and cultured (6-h) in SARS-CoV-2 peptide pool (1 μg/ml, Miltenyi Biotec), then stained for intracellular cytokine stating (ICS) assay, and co-stimulated with anti-CD28/anti-CD49d for activation induced marker (AIM) assay. Antibodies (Biolegend): anti-CD3 (UCHT1), anti-CD4 (SK3), anti-TNF-α (MAb11), anti-OX40 (Ber-ACT35), anti-CD137 (4B4-1), anti-CD69 (FN50, Biolegend); Antibodies (BD Biosciences): anti-CD8 (SK1), anti-IFN-γ (B27). Flow cytometry data was acquired on LSRFortessa and analyzed by FlowJo v.10.8.0.
Data collection
Electronic medical record review yielded subject demographics, body mass index (BMI), co-morbidities including immunosuppressed status, HIV history (duration, antiretroviral therapy (ART), recent CD4, viral load).
Statistical analysis
Data distribution was non-Gaussian; thus, non-parametric paired analysis (Wilcoxon signed-rank test) using Stata (v16.1) compared Visit 2/3 antibody levels. Statistical significance was determined at p-value < 0.05.
Ethical approval
This study received Yale Human Investigations Committee and Institutional Review Board approval (HIC # 200030266) and written informed consent from subjects was obtained.
Results
Thirty-one met inclusion criteria (5 excluded [COVID-19 history (n = 3), pre-Visit 3 booster recipients (n = 2)]). Twenty-six were included in primary analysis (Demographics, Co-morbidities, SARS-CoV-2 antibody results in Table
1). All took ART, majority (n = 24, 92%) had CD4 > 200 cells/µL, and 20/26 were virologically suppressed; 6 had detectable viremia (< 100 copies/mL). All 26 participants (100%) had detectable Visit 3 Anti-Spike-1-RBD IgG [reference < 0.8 U/mL] (Fig.
1/Table
1). In a subset participating in both Visits 2 and 3 (n = 12) median SARS-CoV-2 Anti-Spike 1-RBD was 2087 U/mL (n = 12) at Visit 2, which fell to 581.5 U/mL (n = 12) at Visit 3 (p = 0.0923), reflecting a 6-month median 3.305-fold decrease (Fig.
1a) though not statistically significant. Median SARS-CoV-2 Anti-Spike 1-RBD for all Visit 3 subjects (n = 26) was 492 U/mL (Fig.
1b). Using a clinical correlate of Anti-Spike-1-RBD antibody ≥ 100 U/mL as a disease protection threshold [
6], 22/26 (84.6%) met positivity criterion. Four subjects were sub-threshold: One had chronic kidney disease (CKD); 3 had multiple co-morbidities, including heart transplant on tacrolimus (1), CKD (1), and morbid obesity (1) (Table
1).
Table 1
Participant demographics, co-morbidities, and SARS-CoV-2 antibody results
1 | | 430 | | 68 | Male | White | Non-Hispanic | 553 | 0 | 22.38 | Heart Disease, Substance Use Disorder |
2 | 2500 | 1309 | | 56 | Male | White | Non-Hispanic | 1123 | 0 | 29.09 | History of Cancer, Heart Disease, Lung Disease, Overweight |
3 | 180 | 2500 | | 50 | Male | White | Non-Hispanic | 407 | 0 | 25.04 | History of Cancer, Stroke, Advanced Lung Disease, Smoking history |
4 | 2008 | 426 | T-Cell Subset | 63 | Male | Black | Non-Hispanic | 176 | 0 | 29.68 | |
5 | 2500 | 554 | | 55 | Male | White | Hispanic | 1242 | 0 | 27.17 | Lung Disease, Substance Use Disorder |
6 | | 152 | | 63 | Female | Black | Non-Hispanic | 374 | 0 | 20.66 | Smoking History |
7 | 1101 | 168 | | 64 | Male | White | Non-Hispanic | 900 | 0 | 27.2 | Substance Use Disorder |
8 | | 48 | | 61 | Male | White | Non-Hispanic | 801 | 0 | 28.86 | Chronic Kidney Disease |
9 | 879 | 349 | | 61 | Female | Black | Non-Hispanic | 984 | 0 | 24.2 | |
10 | | 577 | | 80 | Male | Black | Non-Hispanic | 718 | 0 | 27.25 | |
11 | 2500 | 1299 | | 55 | Female | White | Non-Hispanic | 359 | 0 | 26.63 | |
12* | | 29.3 | | 66 | Male | Black | Non-Hispanic | 339 | 32.9 | 26.8 | Chronic Kidney Disease, Diabetes Mellitus, Heart Disease, Lung Disease |
13 | 2.14 | 20.6 | | 66 | Female | Black | Non-Hispanic | 103 | 27.5 | 25.16 | Heart transplant recipient (on tacrolimus), Diabetes Mellitus, Heart Disease, Stroke |
14 | | 763 | | 57 | Male | Black | Non-Hispanic | 1078 | 0 | 31.67 | Lung Disease |
15 | 2500 | 1295 | | 63 | Female | Black | Non-Hispanic | 616 | 38 | 24.08 | |
16 | | 1201 | | 56 | Male | White | Non-Hispanic | 518 | 0 | 33.47 | Lung Disease |
17 | 250 | 1363 | | 61 | Male | White | Non-Hispanic | 729 | 36.7 | 33.73 | Other Cardiovascular Disease, Alcohol use, Substance Use Disorder |
18 | 2500 | 609 | | 58 | Male | White | Non-Hispanic | 720 | 0 | 35.89 | Other Cardiovascular Disease, Alcohol use |
19 | | 47.6 | | 60 | Male | Black | Non-Hispanic | 786 | 99.7 | 47.9 | Advanced Liver Disease, Diabetes Mellitus, Heart Disease, Other Cardiovascular Disease, Lung Disease |
20 | | 1020 | T-Cell Subset | 65 | Female | Black | Non-Hispanic | 539 | 0 | 27.44 | Advanced Liver Disease, History of Cancer, Smoking History, Substance Use Disorder |
21 | | 823 | | 61 | Male | Black | Non-Hispanic | 746 | 0 | 29.42 | History of Cancer, Heart Disease, Substance Use Disorder |
22 | | 343 | T-Cell Subset | 62 | Female | White | Hispanic | 706 | 50.6 | 30.21 | History of Cancer, Lung Disease, Smoking History |
23 | | 196 | T-Cell Subset | 58 | Female | White | Non-Hispanic | 1413 | 0 | 42.91 | Smoking History |
24 | | 1626 | | 64 | Male | Black | Non-Hispanic | 612 | 0 | 38.72 | Advanced Liver Disease, History of Cancer, Active Cancer, Diabetes Mellitus |
25 | 2166 | 315 | T-Cell Subset | 60 | Female | Black | Non-Hispanic | 225 | 0 | 39.49 | Advanced Liver Disease, History of Cancer, Other Cardiovascular Disease, Alcohol Use |
26 | | 159 | | 56 | Female | Black | Non-Hispanic | 898 | 0 | 24.26 | Smoking history |
Median value | 2087 | 492 | | | | | | | | | |
Eighteen Visit 3 subjects receiving BNT162b2 booster had reactogenicity evaluated 1-week post-booster. All subjects (100%) reported ≥ 1 mild-moderate symptom (Fig.
3): Injection site pain 61% (n = 11); fatigue 17% (n = 3); chills, headaches, or myalgias 11% (n = 2); nausea or malaise 6% (n = 1). Among these subjects, a cohort (n = 5) had T-cell immunologic responses analyzed (Fig.
2). All (n = 5) had detectable cytokine-secreting anti-spike CD4 responses; 3 had detectable CD4 + AIM + cells. Two had detectable cytokine-secreting CD8 responses, but all (n = 5) had positive CD8 + AIM + cells.
Discussion
Our study results demonstrate there are detectable circulating anti-spike RBD antibodies 6-months post-primary COVID-19 BNT162b2 vaccination series in older PWH. Guidelines for PWH have described older PWH as people who are 50 years of age or older [
7]. Using a threshold of Anti-Spike-1-RBD antibody ≥ 100 U/mL as a correlate of COVID-19 protection [
6], it is remarkable that 84.6% of subjects met 6-month threshold criterion. Of note, there is limited data regarding the clinical applicability of using this Elecsys Anti-SARS-CoV-2 S RBD assay and the implications of its semi-quantitative antibody levels as it relates to the degree of immunity or protection against COVID-19 in vaccinated individuals [
8]. Our cohort had significant variability and rather broad range of Anti-Spike-1-RBD levels, which may reflect participant characteristics, co-morbidities influencing vaccine responses. Four subjects below the clinical correlate of protection had multiple co-morbidities, including CKD in the majority, and 1 heart transplant recipient on tacrolimus. Our cohort, though older, were virologically suppressed, most with CD4 > 200 cells/µL. Thus, underlying HIV may not have negatively influenced vaccine responses, unlike those with lower CD4 counts, as observed in other studies.
We found significant circulating antibody waning over time, as observed in other cohorts. Waning immunity has been associated with clinical endpoints of increased vulnerability to SARS-CoV-2 infection/reinfection, particularly where circulating VOC demonstrate significant immune evasion. Thresholds at which these events occur must be well-defined. Thus, it is important to correlate immune responses (including qualitative/quantitative) with clinical outcomes, among different populations/hosts, to inform immunologic assessment, clinical significance—and importantly—vaccine booster frequency.
Much attention has been given to assessing cell-mediated immune responses post-COVID-19 vaccination. While circulating neutralizing antibodies emerged as primary correlate of protection against infection, memory B- and T-cells—which modulate adaptive immune responses, acting as effector cells—serve as secondary lines of defense against disease progression and severity following SARS-CoV-2 infection and may exhibit greater durability [
9]. Though T-cell responses were assessed in a small cohort, the robust persistence of SARS-CoV-2 Spike-specific and functional T-cells 6-months post-primary mRNA vaccination among older PWH is encouraging, warranting exploration. Spike-specific T-cells generated by BNT162b2 exhibit wide breadth and retain activity against emerging VOC [
10], although their immunoprotective role is not well-defined.
Regarding reactogenicity, booster vaccine was well-tolerated. Most experienced local injection site pain with limited systemic reactogenicity, on par with other booster dose studies [
11].
Our study has important limitations. Our single academic center cohort comprised PWH ≥ 55 years with well-controlled HIV, robust CD4 counts, which may not represent HIV-infected cohorts with dissimilarities and a younger cohort of people living with HIV [
12]. However, it does provide important insight about older PWH, a demographic increasing annually as majority of US PWH are ≥ 50 years [
7]. We evaluated response to a specific mRNA vaccine, so findings may not extrapolate to other (mRNA) vaccines/platforms. Although we lacked an HIV-uninfected control group, immune responses published among other cohorts provide context for interpreting our data. Notwithstanding, the absence of standardized antibody assays remains challenging for direct study result comparison. Thus, a more standardized method of assessing SARS-CoV-2 humoral immunity and correlates of immune protection is needed; ongoing research is being conducted to establish international standards to interpret humoral immunity results using different testing platforms and units of measurement [
8]. We excluded participants with prior or breakthrough COVID-19, so as not to bias immunologic assessments, which may inadvertently select for more optimal vaccine responses.
Acknowledgements
We would like to acknowledge these individuals for their contributions: Study procedures and data collection: All authors. Immunologic testing: Syim Salahuddin, Omkar Chaudhary, Brinda Emu. Research coordination: Laurie Andrews (Yale AIDS Program, Yale University School of Medicine), Linda Ryall (Yale Center for Clinical Investigation, Yale University School of Medicine), and Anousheh Behnegar (Yale AIDS Program, Yale University School of Medicine).
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