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Record W4281567913 · doi:10.1111/petr.14319

The challenge of evaluating of <scp>SARS‐CoV</scp>‐2 antibody responses among vaccinated transplant patients

2022· letter· en· W4281567913 on OpenAlexafffundabout
Taito Kitano, Aaron Campigotto, Upton Allen

Bibliographic record

VenuePediatric Transplantation · 2022
Typeletter
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersHospital for Sick Children
KeywordsMedicineImmunogenicityVaccinationSerologyAntibodyImmunologyPopulationImmune systemVirology

Abstract

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Data on the immunogenicity of the COVID-19 vaccines among SOT recipients are required to formalize COVID-19 vaccine recommendations for this immunocompromised population. Feingold et al. reported SARS-CoV-2 antibody responses following the use of COVID-19 mRNA vaccines among pediatric and young adult heart-transplant recipients.1 In their study, among 28 recipients who had received COVID-19 vaccination, 17 (61%) had SARS-CoV-2 spike protein antibody responses after a 2-dose vaccination series. A subset received a third dose of an mRNA vaccine. They reported that four of seven (57%) patients who were seronegative after the second dose of vaccine developed antibody responses after the third dose. The findings may support recommendations from different jurisdictions that suggest a 3-dose primary mRNA COVID-19 vaccine series for moderately or severely immunocompromised persons 5 years of age and older, followed by a booster dose for those 12 years of age and older.2 The Feingold study provides an opportunity to highlight the importance of several key issues relating to the utility of antibody testing to assess vaccine responses among COVID-19 patients, as highlighted in this commentary. The full spectrum of immune correlates that define protection against SARS-CoV-2 infection and disease are yet to be determined. While many serologic tests that measure antibodies to spike protein are being used in different centres internationally, neutralizing antibody detection is still considered as the gold standard to evaluate immune protection, since neutralization tests more accurately correlate with the functional ability of the antibodies.3 That said, studies have shown strong correlations between antibodies (both neutralizing and IgG binding) and protection in clinical efficacy trials. Given that up to 90% of the variability in efficacy of different vaccines could be explained by their antibody levels, it is reasonable to assume that post-immunization antibody levels can serve as a valid measure of short-term protection.4, 5 The presence of detectable antibody is not the sole indicator of protection from SARS-CoV-2 infection. Other immune correlates, including mucosal immunity, cell-mediated adaptive immunity, and innate immunity, are believed to play important roles in immunity to SARS-CoV-2. The contributions of these components, singly or in combination, are unestablished as this relates to protection from SARS-CoV-2 infection and disease of varying severity. If antibody results correlate with protection, what antibody level is protective? Currently, longitudinal studies measuring antibody levels before and after the vaccination are ongoing to evaluate whether there is a certain threshold of antibody level for protection from SARS-CoV-2 infection. Most assays that have been approved for use under Emergency Use Authorization are typically not reported as quantitative. Results may be reported on a scale (e.g., as a signal to cut-off ratio, S/CO) but are not standardized to a reference value as a quantitative assay with a standardized clinical interpretation. The utility of WHO standard Binding Antibody Units has been proposed, and data are emerging on what antibody levels likely correlate with protection against different variants of SARS-CoV-2.6 Are different serologic assays interchangeable? With three different assays being used in the study by Feingold et al., variations in sensitivity, particularly over time, may lead to differences in results. Ideally, studies of this nature should involve the use of a single assay. If multiple assays are used, some form of cross-validation should be considered, where feasible. While the study by Feingold et al. reported no presumed cases of SARS-CoV-2 infection among their study participants, asymptomatic or mildly symptomatic patients are potentially more likely to have negative antibody responses.7 This is accentuated by the immunocompromised state of participants.8 Even if nucleocapsid antibody testing had been undertaken to determine the occurrence of antibodies to the virus as opposed to the vaccine (as discussed below), it has been reported that there is the potential for a muted antibody response leading to the false assumption that no infection occurred. This is because when compared with adults, children may not develop a robust nucleocapsid antibody responses to infection.9 The waning of antibody responses is another consideration. A study of kidney-transplant recipients revealed reduced titers of spike protein antibody after 6 months compared with 1 month after the third dose of mRNA vaccination.10 In the above context, the performance characteristics of different assays relating to the above variables is worthy of consideration. As the authors have noted, differentiating SARS-CoV-2 infection from antibody response after vaccination is difficult among those who have positive spike protein antibodies. Nucleocapsid antibody testing is recommended to evaluate the evidence of prior infection among vaccinated populations.7 Current vaccines only produce spike protein antibody responses, while both spike protein and nucleocapsid antibody responses are seen during SARS-CoV-2 infection. Because antibodies may cross-react, it has not been fully established whether antigens used by the antibody tests specifically detect only antibodies against those antigens but not other antigens, including those of seasonal coronaviruses.7 In summary, the study by Feingold et al. highlights to spike protein antibody responses among heart transplant recipients who received two or three doses of COVID-19 vaccination, adding serological evidence for the current recommendation of booster doses of COVID-19 vaccination for SOT recipients. The study also highlights the need for research on specific areas among SOT recipients, including but not limited to the degree of correlation of spike protein antibody levels with protection as well as the correlation between different antibody assays. Further study is required on the role of different components of the immune system on the prevention from infection and severe outcomes of COVID-19. TK wrote the draft manuscript. AC and UA critically reviewed and revised the manuscript. All authors read and approved the final manuscript. Taito Kitano received a fellowship award from Transplant & Regenerative Medicine Centre at the Hospital for Sick Children, Toronto, Canada, and scholarships from Rotary International and Nakayama Foundation for Human Science, Japan. The fund providers had no role in study design, data collection and interpretation, or the decision to submit the work for publication. All authors declare that they have no conflicts of interest related to this study. Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.355
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes3
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