Back

Cytomegalovirus serostatus and plasma MCP-1 levels are associated with antibody response to seasonal influenza vaccine across age and sex

Ratishvili, T.; Haralambieva, I.; Goergen, K. M.; Ovsyannikova, I. G.; Pickering, H.; Pellegrini, M.; Cappelletti, M.; Reed, E. F.; Poland, G. A.; Kennedy, R. B.

2026-03-17 infectious diseases
10.64898/2026.03.15.26348451 medRxiv
Show abstract

BackgroundWhile immunologic aging impacts immune responses to vaccination, consistent biomarkers associated with aging of the immune system and suboptimal serologic response to influenza vaccination have not been well-studied. Identification of readily measurable biomarkers of immunosenescence may have predictive clinical utility and inform targeted influenza vaccination strategies and future research into aging of the immune system. MethodsWe quantified multiple serum/plasma and cell-based parameters related to immune aging (CMV serostatus, plasma cytokines/chemokines, TREC, TERT, NK cell functionality, and DNA methylation clock) at baseline in an adult (age range 18-85) cohort of 2019-2020 influenza vaccine recipients (n=337) and evaluated their associations with vaccine-induced HAI response to influenza A/H1N1, A/H3N2 and B/Victoria strains. ResultsCMV IgG titers were significantly positively correlated with vaccine-induced increases in HAI antibody titers to influenza A/H1N1 (p=0.02) and A/H3N2 (p=0.014). CMV IgG titers (p=0.00096) and CMV seropositivity (p=0.003) were also associated with Day 28 HAI seropositivity against influenza A/H3N2 in subjects seronegative at baseline. Conversely, plasma MCP-1 levels were negatively associated with HAI responses to the A/H3N2 (p=0.04) strain. These findings were significant independent of age, sex or vaccine type received (high vs standard-dose seasonal influenza vaccine) ConclusionsOur identification of significant relationships between easily quantifiable immune markers and HAI responses to influenza A vaccine strains across sex and age enhances our knowledge of specific links between immune aging and influenza vaccine-induced immunity. These markers could be leveraged for predicting response to influenza immunization.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Frontiers in Aging
11 papers in training set
Top 0.1%
15.2%
2
Aging Cell
165 papers in training set
Top 0.5%
8.0%
3
Frontiers in Immunology
638 papers in training set
Top 2%
6.3%
4
The Journals of Gerontology: Series A
29 papers in training set
Top 0.1%
4.4%
5
The Journal of Infectious Diseases
202 papers in training set
Top 0.9%
4.1%
6
Nature Communications
5641 papers in training set
Top 32%
4.1%
7
eBioMedicine
183 papers in training set
Top 0.9%
3.3%
8
PLOS ONE
5266 papers in training set
Top 37%
3.3%
9
GeroScience
109 papers in training set
Top 0.8%
3.2%
50% of probability mass above
10
JCI Insight
277 papers in training set
Top 3%
2.8%
11
Communications Medicine
113 papers in training set
Top 2%
2.1%
12
Cell Reports
1498 papers in training set
Top 16%
2.1%
13
The Journal of Immunology
166 papers in training set
Top 1%
1.9%
14
Clinical Infectious Diseases
235 papers in training set
Top 1%
1.9%
15
Scientific Reports
3612 papers in training set
Top 53%
1.7%
16
Nature Medicine
125 papers in training set
Top 1%
1.7%
17
Cell Reports Medicine
153 papers in training set
Top 2%
1.7%
18
Aging
75 papers in training set
Top 0.9%
1.7%
19
Nature Aging
60 papers in training set
Top 0.9%
1.7%
20
Open Forum Infectious Diseases
142 papers in training set
Top 2%
1.5%
21
eClinicalMedicine
77 papers in training set
Top 1%
1.3%
22
mBio
833 papers in training set
Top 9%
1.1%
23
eLife
5828 papers in training set
Top 61%
1.0%
24
npj Vaccines
67 papers in training set
Top 0.7%
1.0%
25
iScience
1154 papers in training set
Top 31%
1.0%
26
Brain, Behavior, and Immunity
116 papers in training set
Top 2%
0.9%
27
BMC Infectious Diseases
133 papers in training set
Top 4%
0.9%
28
American Journal of Epidemiology
67 papers in training set
Top 1%
0.9%
29
BMC Medicine
176 papers in training set
Top 5%
0.9%
30
Clinical Epigenetics
60 papers in training set
Top 0.7%
0.6%