Back

Distinct age-specific SARS-CoV-2 IgG decay kinetics following natural infection

Sjaarda, C. P.; Moslinger, E.; Tozer, K.; Colautti, R. I.; Kheitan, S.; Meurant, R.; Van Cleaf, S.; Ardakani, A.; Bosnjak, O.; Ghaffari, A.; Sheth, P. M.

2021-08-07 infectious diseases
10.1101/2021.08.05.21259465
Show abstract

BackgroundAntibody responses to SARS-CoV-2 can be observed as early as 14 days post-infection, but little is known about the stability of antibody levels over time. Here we evaluate the long-term stability of anti-SARS-CoV-2 IgG antibodies following infection with SARS-CoV-2 in 402 adult donors. MethodsWe performed a multi-center study carried out at Plasma Donor Centers in the city of Heidelberg (Plasmazentrum Heidelberg, Germany) and Munich (Plasmazentrum Munchen, Germany). We present anti-S/N and anti-N IgG antibody levels in prospective serum samples collected up to 403 days post recovery from SARS-CoV-2 infected individuals. ResultsThe cohort includes 402 adult donors (185 female, 217 male; 17 - 68 years of age) where anti-SARS-CoV-2 IgG levels were measured in plasma samples collected between 18- and 403-days post SARS-CoV-2 infection. A linear mixed effects model demonstrated IgG decay rates that decrease over time ({chi}2=176.8, p<0.00001) and an interaction of time*age {chi} ({chi}2=10.0, p<0.005)), with those over 60+ years showing the highest baseline IgG levels and the fastest rate of IgG decay. Baseline viral neutralization assays demonstrated that serum IgG levels correlated with in vitro neutralization capacity in 91% of our cohort. ConclusionLong-term antibody levels and age-specific antibody decay rates suggest the potential need for age-specific vaccine booster guidelines to ensure long term vaccine protection against SARS-CoV-2 infection.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Nature Communications
based on 483 papers
Top 8%
10.2%
2
Journal of Clinical Investigation
based on 50 papers
Top 0.2%
6.4%
3
The Journal of Infectious Diseases
based on 137 papers
Top 1.0%
5.8%
4
JCI Insight
based on 63 papers
Top 1%
4.7%
5
Clinical Infectious Diseases
based on 219 papers
Top 6%
4.7%
6
PLOS ONE
based on 1737 papers
Top 73%
4.5%
7
Frontiers in Immunology
based on 140 papers
Top 2%
3.0%
8
Clinical & Translational Immunology
based on 14 papers
Top 0.1%
2.8%
9
Eurosurveillance
based on 77 papers
Top 2%
2.8%
10
Transfusion
based on 14 papers
Top 0.2%
2.8%
11
Scientific Reports
based on 701 papers
Top 65%
2.3%
50% of probability mass above
12
Viruses
based on 79 papers
Top 2%
1.8%
13
Science Translational Medicine
based on 40 papers
Top 3%
1.6%
14
The Journal of Immunology
based on 19 papers
Top 1%
1.6%
15
BMC Medicine
based on 155 papers
Top 13%
1.6%
16
International Journal of Infectious Diseases
based on 115 papers
Top 12%
1.3%
17
PLOS Pathogens
based on 35 papers
Top 1%
1.3%
18
Nature Medicine
based on 88 papers
Top 10%
1.3%
19
Cell Reports Medicine
based on 49 papers
Top 4%
1.3%
20
Journal of Medical Virology
based on 95 papers
Top 7%
1.3%
21
eBioMedicine
based on 82 papers
Top 4%
1.2%
22
Science Immunology
based on 15 papers
Top 1%
1.2%
23
Emerging Infectious Diseases
based on 84 papers
Top 9%
1.2%
24
mBio
based on 34 papers
Top 3%
0.8%
25
Nature
based on 58 papers
Top 9%
0.8%
26
Journal of Infection
based on 64 papers
Top 7%
0.8%
27
Infectious Diseases and Therapy
based on 18 papers
Top 1%
0.8%
28
Frontiers in Medicine
based on 99 papers
Top 18%
0.8%
29
BMJ Open
based on 553 papers
Top 50%
0.8%
30
PLOS Medicine
based on 95 papers
Top 15%
0.8%