| Literature DB >> 36016129 |
Beatrice Albanesi1, Alessandro Godono1, Rosanna Irene Comoretto1, Elena Casabona1, Giuliano Curoso1, Massimiliano Victor Leone1, Nicolò Milanesio1, Ilenia Mirra1, Giulia Montrucchio1, Fabrizia Pittaluga2, Rossana Cavallo1, Marco Clari1, Catalina Ciocan1.
Abstract
Heterologous vaccination regimens could contribute to broadening vaccination coverage. To date, there is little evidence on the effectiveness of a combination of adenoviral COVID-19 vaccines with a second dose of mRNA vaccines. This study aims to evaluate the antibody response to the SARS-CoV-2 spike protein 25 weeks after vaccination with mRNA-1273 after a first dose of ChAdOx1. A cross-sectional study was conducted collecting sociodemographic data, clinical characteristics, and serological data from among the general population. Antibody levels were expressed as binding antibody units (BAU) per mL (cutoff = 33.8 BAU/mL). Linear regression models were used to assess the relationship between the subjects' characteristics and anti-SARS-CoV-2 antibody levels. A total of 229 participants were followed up after a median time of 173 days. The overall anti-SARS-CoV-2 IgG antibody titer was 729.0 BAU/mL. The multivariable analysis showed that the only factor associated with anti-SARS-CoV-2 IgG levels was the BMI (p = 0.007), with decreases within the healthy range weight and increases in under- or overweight people. Our results support the use of heterologous COVID-19 vaccination regimens, as they can guarantee a sustained immune antibody response. More studies are needed to understand the link between BMI and body composition and the immune response to COVID-19 vaccinations.Entities:
Keywords: COVID-19; antibody response; cross-sectional study; heterologous; spike protein; vaccines
Year: 2022 PMID: 36016129 PMCID: PMC9416710 DOI: 10.3390/vaccines10081241
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Baseline characteristics based on sex.
| Characteristics | ||||
|---|---|---|---|---|
| Males (n = 161) | Females (n = 138) | All (n = 299) | ||
| Age (years; median, IQR) | 36.0 (30.0–47.0) | 35.0 (29.2–47.0) | 35.0 (30.0–47.0) | 0.712 |
| BMI (kg/m2; median, IQR) | 21.5 (19.5–24.0) | 23.9 (22.2–25.7) | 22.7 (20.7–25.1) | <0.001 |
| <25 (n, %) | 130 (81) | 93 (67) | 223 (75) | 0.009 |
| ≥25 (n, %) | 31 (19) | 45 (33) | 76 (25) | |
| Allergies (yes; n, %) | 41 (25) | 40 (29) | 81 (27) | 0.513 |
| Days from 2nd dose (median, IQR) | 173 (171–176) | 173 (171–178) | 173 (171–177) | 0.962 |
| Anti-SARS-CoV-2 IgG(BAU/mL; median, IQR) | 773.0 (508.0–1190.0) | 683.5 (411.0–1207.5) | 729.0 (455.0–1205.0) | 0.318 |
Abbreviations: BMI, body mass index; IQR, interquartile range.
Univariable analysis of the association between anti-SARS-CoV-2 titers and sample characteristics (all participants).
| Factors | β (SE) | 95% CI | |
|---|---|---|---|
| Sex | −44.5 (64.1) | −170.6–81.7 | 0.488 |
| Age * | −112.7 (88.5) | −287.0–61.5 | 0.649 |
| BMI * | 137.6 (87.0) | −33.5–308.7 | 0.007 |
| Allergies | 97.2 (71.7) | −44.0–238.3 | 0.176 |
| Days from 2nd dose | 11.8 (45.9) | −78.5–102.1 | 0.798 |
* Nonlinear analysis. Abbreviations: SE, standard error; CI, confidence interval; BMI, body mass index.
Multivariable analysis of the association between anti-SARS-CoV-2 titers and sample characteristics (all participants).
| Factors | β (SE) | 95% CI | |
|---|---|---|---|
| Sex | −29.3 (69.2) | −165.5–106.8 | 0.672 |
| Age * | −93.4 (88.0) | −266.5–79.7 | 0.789 |
| BMI * | 172.3 (86.0) | 2.9–341.6 | 0.007 |
| Allergies | 93.3 (71.7) | −47.9–234.5 | 0.194 |
* Nonlinear analysis. Abbreviations: SE, standard error; CI, confidence interval; BMI, body mass index.
Figure 1Multivariable linear regression between BAU titers (BAU/mL) and sample characteristics: The four plots report the predicted values of BAU titer for each model’s covariates, adjusted for the other variables. Abbreviations: BAU, binding antibody units; BMI, body mass index.
Multivariable analysis of the association between anti-SARS-CoV-2 IgG and sample characteristics by sex.
| Factors | Males | Females | ||||
|---|---|---|---|---|---|---|
| β (SE) | 95% CI | β (SE) | 95% CI | |||
| Age * | −84.1 (116.6) | −314.5–146.3 | 0.630 | −97.9 (129.4) | −353.9–158.1 | 0.671 |
| BMI * | 33.9 (114.4) | −192.1–259.9 | 0.079 | 277.0 (121.2) | 37.3–516.7 | 0.045 |
| Allergies | 130.6 (100.4) | −67.8–339.0 | 0.196 | 48.1 (106.3) | −162.1–254.4 | 0.651 |
* Nonlinear analysis. Abbreviations: SE, standard error; CI, confidence interval; BMI, body mass index.