Frontiers in immunology

How immune problems affect protection from COVID-19 infection, Pfizer vaccine, and both in children and young adults

Updated

Abstract

Essence

In children and young adults with immunodeficiencies, BNT162b2 vaccination and especially were linked to stronger SARS-CoV-2 antibody responses than infection alone, while most also mounted Spike-specific CD4 T-cell responses.

Evidence

This cross-sectional immune profiling study analyzed blood from 102 immunocompromised patients aged 5-25 years and 30 healthy individuals aged 9-26 years after infection, vaccination, or both using antibody, neutralization, and CD4 T-cell assays.

Caveat

Because this was a cross-sectional study of heterogeneous immunodeficiencies measuring immune markers rather than infection outcomes, it cannot establish clinical protection.

Simplified

Key numbers

205023
After Vaccination
() after vaccination.
3323
After Infection
() after infection.
93%
CD4 T-cell Response Rate
Percentage of immunocompromised patients with detectable CD4 T-cell responses.

Key figures

Figure 2
subclass proportions in immunocompromised versus healthy controls after infection, vaccination, and
Highlights distinct IgG subclass distributions and higher IgG4 in healthy controls after hybrid immunity compared to immunocompromised patients
fimmu-16-1661282-g002
  • Panels Infection IC and HC
    Percentages of IgG1, IgG2, IgG3, and IgG4 subclasses after infection; IgG1 appears highest in both (65.51%) and (87.55%) groups
  • Panels Vaccine IC and HC
    IgG subclass percentages after vaccination; IgG1 is dominant in both IC (70.55%) and HC (72.97%) groups, with visible presence of IgG4 in IC (18.20%) and HC (17.13%)
  • Panels Hybrid IC and HC
    IgG subclass percentages after hybrid immunity; IgG1 remains highest in IC (87.08%) and HC (68.75%), with IgG4 notably higher in HC (25.07%) than IC (6.85%)
Figure 3
Inhibitory antibody levels in immunocompromised and healthy participants after infection, vaccination, or both.
Highlights higher inhibitory antibody levels in healthy controls compared to immunocompromised groups after vaccination and .
fimmu-16-1661282-g003
  • Panel Infection
    Violin plots show of in , , , , , and groups after infection; geometric means marked by red lines.
  • Panel Vaccine
    Violin plots display inhibitory antibody titres in the same groups after vaccination; HC group appears to have higher titres with significant differences marked.
  • Panel Hybrid
    Violin plots present inhibitory antibody titres after combined infection and vaccination; HC group shows visibly higher titres with statistical significance indicated.
Figure 4
antibody levels and inhibitory antibody levels in immunocompromised and healthy control groups
Highlights stronger antibody inhibition correlation in vaccinated and groups compared to infection alone
fimmu-16-1661282-g004
  • Panel Infection
    Correlation between and inhibitory antibody with a positive association ( = 0.617, p = 0.00008) shown by a and confidence band
  • Panel Vaccine
    Stronger positive correlation between S-specific IgG titres and inhibitory antibody titres (rS = 0.864, p < 0.00001) with a steeper regression line and tighter confidence band
  • Panel Hybrid
    Strong positive correlation between S-specific IgG titres and inhibitory antibody titres (rS = 0.863, p < 0.00001) similar to vaccine panel with dense clustering of points
Figure 5
activation after infection, vaccination, and in immunocompromised and healthy groups
Highlights comparable CD4 T-cell activation levels across immunocompromised and healthy groups after vaccination and hybrid exposure
fimmu-16-1661282-g005
  • Panel Infection
    Fold changes in CD4 T-cell activation after infection shown for , , , , , and groups with geometric means indicated
  • Panel Vaccine
    Fold changes in CD4 T-cell activation after vaccination shown for IC, PID, BA-AR, RD, HSCT, and HC groups with geometric means indicated
  • Panel Hybrid
    Fold changes in CD4 T-cell activation after hybrid exposure shown for IC, PID, BA-AR, RD, HSCT, and HC groups with geometric means indicated
1 / 4

Full Text

What this is

  • This cross-sectional study evaluates immune responses in 102 immunocompromised children and young adults after SARS-CoV-2 infection, mRNA vaccination, or both.
  • Participants were categorized into groups based on different immunodeficiencies, including primary immunodeficiencies and those undergoing hematopoietic stem cell transplantation.
  • The study measures antibody levels and CD4 T-cell responses to understand the effectiveness of immune responses in this underrepresented population.

Essence

  • Immunocompromised children and young adults can generate protective antibody and T-cell responses against SARS-CoV-2 through vaccination, infection, or a combination of both. Vaccination and result in significantly higher IgG titres compared to infection alone.

Key takeaways

  • Vaccination induced the highest IgG titres in immunocompromised participants, with a () of 205023, compared to 3323 after infection (P = .006).
  • , resulting from both vaccination and infection, produced IgG titres of 172819, also significantly higher than infection alone (P = .001).
  • The majority of immunocompromised patients developed detectable CD4 T-cell responses, comparable to healthy controls, indicating functional immune capabilities despite their conditions.

Caveats

  • The study's cross-sectional design limits the ability to assess the temporal dynamics of immune responses over time.
  • The heterogeneous nature of the immunocompromised cohort may introduce variability in immune responses, influenced by different diagnoses and therapies.
  • Small sample sizes in individual immunodeficiency groups hinder definitive conclusions about specific immune responses.

Definitions

  • Hybrid immunity: The immune response generated from both vaccination and previous infection, leading to enhanced antibody production.
  • Geometric mean titre (GMT): A statistical measure used to summarize antibody levels, particularly useful for skewed data distributions.

Simplified

Funding

Competing interests

5 of 13
authors report competing interests
8 report none
PubMed

What Lands in Your Inbox Each Week:

  • 📚7 fresh studies
  • 📝plain-language summaries
  • direct links to original studies
  • 🏅top journal indicators
  • 📅weekly delivery
  • 🧘‍♂️always free