| Literature DB >> 35003104 |
Qiu-Yan Xu1,2, Jian-Hang Xue3, Yao Xiao1,4, Zhi-Juan Jia5, Meng-Juan Wu5, Yan-Yun Liu5, Wei-Li Li6, Xian-Ming Liang1, Tian-Ci Yang1,2.
Abstract
Background: A vaccine against coronavirus disease 2019 (COVID-19) with highly effective protection is urgently needed. The anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody response and duration after vaccination are crucial predictive indicators.Entities:
Keywords: COVID-19; CoronaVac; SARS-CoV-2; anti-SARS-CoV-2 antibody; neutralizing antibody
Mesh:
Substances:
Year: 2021 PMID: 35003104 PMCID: PMC8733590 DOI: 10.3389/fimmu.2021.786554
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Anti-SARS-CoV-2 antibody response and duration after vaccination over time. The levels and half-lives of neutralizing antibody (A), anti-RBD total antibody (B), anti-Spike IgG (C), anti-Spike IgM (D), and anti-Spike IgA (E) were determined after vaccination over time. There were significant differences with repeated-measures ANOVA in all of antibodies (P < 0.05). The decay half-lives for individuals were estimated using a linear mixed effects model with censoring of titers below the positive threshold. Receive vaccine .
Level of anti-SARS-CoV-2 antibody over time after vaccination.
| Antibody | D0 | D7 | D14 | D21 | D28 | D35 | D42 | D49 | D56 | D130 | D160 |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| 5.65 (2.15–8.22) | 5.74 (2.15–8.41) | 10.63 (6.92–16.94) | 14.34 (10.80–19.40) | 15.18 (10.46–21.89) | 55.78 (24.51–99.23) | 149.40 (101.00–244.60) | 131.90 (95.04–218.10) | 100.50 (77.89–168.20) | 17.12 (10.18–52.36) | 14.23 (7.62–30.73) | <0.001 |
|
| 0.00 (0.00–0.00) | 0.00 (0.00–0.00) | 1.28 (0.00–11.53) | 2.14 (0.92–12.93) | 1.68 (0.00–11.79) | 40.83 (16.05–130.40) | 131.30 (70.16–229.20) | 106.50 (48.77–168.60) | 72.84 (36.58–122.90) | 18.32 (10.08–32.54) | 11.57 (4.44–20.68) | <0.001 |
|
| 0.02 (0.02–0.03) | 0.02 (0.02–0.04) | 0.05 (0.03–0.13) | 0.21 (0.12–0.55) | 0.44 (0.19–0.98) | 5.00 (1.23–16.98) | 20.25 (11.72–41.02) | 15.92 (9.73–30.87) | 12.17 (7.25–21.94) | 3.21 (1.35–4.83) | 1.02 (0.57–2.25) | <0.001 |
|
| 0.02 (0.01–0.02) | 0.02 (0.01–0.02) | 0.06 (0.03–0.18) | 0.11 (0.04–0.27) | 0.07 (0.03–0.25) | 0.51 (0.14–1.42) | 1.25 (0.38–2.03) | 0.83 (0.25–1.46) | 0.46 (0.13–1.03) | 0.04 (0.02–0.09) | 0.02 (0.01–0.05) | <0.001 |
|
| 0.06 (0.04–0.08) | 0.07 (0.04–0.13) | 0.11 (0.06–0.21) | 0.12 (0.07–0.23) | 0.08 (0.05–0.15) | 0.22 (0.08–0.55) | 0.43 (0.15–1.06) | 0.30 (0.12–0.59) | 0.17 (0.08–0.38) | 0.07 (0.04–0.12) | 0.06 (0.04–0.09) | <0.001 |
The level of antibody was recorded as medians with interquartile ranges (IQRs). Repeated measures ANOVA was constructed to assess the differences.
Factors associated with duration of neutralizing antibody.
| Persistence time M (IQR) (day) |
| Persistence rate at 160 days % (n/N) | Odds ratio (95%CI) |
| |
|---|---|---|---|---|---|
| Sex | 0.971 | ||||
| Female | 95 (88–118) | 23.8% (10/42) | 1.0 | ||
| Male | 95 (88–102) | 12.5% (2/16) | 0.416(0.066–2.609) | 0.349 | |
| Age group | 0.015 | ||||
| >31 | 95 (88–95) | 11.9% (5/42) | 1.0 | ||
| ≤31 | 95 (95–125) | 43.7% (7/16) | 6.179 (1.454–26.266) | 0.014 | |
| Anti-Spike IgA | 0.158 | ||||
| Negative | 95 (88–102) | 12.8% (5/39) | 1.0 | ||
| Positive | 95 (88–125) | 36.8% (7/19) | 4.314(1.020–18.246) | 0.047 | |
| Anti-Spike IgM | 0.662 | ||||
| Negative | 95 (88–118) | 13.0%(3/23) | 1.0 | 0.494 | |
| Positive | 95 (88–95) | 25.7%(9/35) | 1.782(0.340–9.354) |
M, medians. IQR, interquartile range.
1. The Mann-Whitney U test was constructed to assess the differences in the persistence over time.
2. A logistic regression model was used for the predictors of the persistence of neutralizing antibodies.