Back

Emergence of an Antigenically Drifted and Reassorted Influenza B Virus at the end of the 2024-25 Influenza Season

Akin, E.; Villafuerte, D. A.; Werner, A. P.; Pinsley, M.; Fall, A.; Abdullah, O.; Norton, J. M.; Rothman, R. E.; Fenstermacher, K.; Gong, Y.-N.; Klein, E.; Mostafa, H. H.; Pekosz, A.

2025-07-24 microbiology
10.1101/2025.07.24.666632 bioRxiv
Show abstract

BACKGROUNDInfluenza B virus is a significant contributor to annual total and severe cases of influenza, particularly in the young and elderly. Coupling whole virus genome sequencing with the monitoring of influenza cases allows for the identification of increased disease burden and the emergence of novel virus variants. METHODSInfluenza B virus infected individuals were identified in the Johns Hopkins Health Systems network and whole IBV genome sequencing was performed. Phylogenetic analysis and sequence alignments were used to identify the IBV clades and novel virus mutations. The amount of neutralizing antibody activity specific to different IBV clades was measured. RESULTSLate in the 2024-25 Northern Hemisphere influenza season, a surge of IBV cases were identified. The IBV responsible for the surge, C.3re, was a clade C.3 virus that had reassorted with clade C.5.1 viruses and acquired a mutation predicted to mask a key neutralizing antibody epitope on the hemagglutinin protein. The neuramindase gene contained mutations predicted to reduce neutralizing antibody binding and potentially alter oseltamivir sensitivity. The C.3re viruses preferentially infected children but showed no significant increase in disease severity. The C.3re viruses were poorly neutralized by pre and post influenza vaccination serum. CONCLUSIONSThe C.3re IBV genotype that emerged in late in the 2024-25 influenza season is antigenically mismatched with current circulating IBVs and the IBV vaccine strains chosen for the 2025 Southern Hemisphere and 2024-25 Northern Hemisphere season. This may result in lower vaccine efficacy increases in IBV cases in upcoming influenza seasons.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Influenza and Other Respiratory Viruses
44 papers in training set
Top 0.1%
22.5%
2
Journal of Virology
456 papers in training set
Top 0.6%
10.1%
3
Clinical Infectious Diseases
231 papers in training set
Top 0.5%
8.4%
4
The Journal of Infectious Diseases
182 papers in training set
Top 0.6%
4.9%
5
PLOS ONE
4510 papers in training set
Top 36%
4.0%
6
The Lancet Infectious Diseases
71 papers in training set
Top 0.7%
3.7%
50% of probability mass above
7
New England Journal of Medicine
50 papers in training set
Top 0.3%
3.6%
8
Journal of Clinical Microbiology
120 papers in training set
Top 0.6%
3.6%
9
Vaccine
189 papers in training set
Top 0.9%
2.4%
10
Emerging Microbes & Infections
74 papers in training set
Top 0.6%
2.1%
11
mBio
750 papers in training set
Top 6%
2.1%
12
Microbiology Spectrum
435 papers in training set
Top 2%
2.1%
13
Journal of Infection
71 papers in training set
Top 1%
1.9%
14
Journal of Clinical Virology
62 papers in training set
Top 0.3%
1.8%
15
mSphere
281 papers in training set
Top 3%
1.7%
16
Journal of Travel Medicine
18 papers in training set
Top 0.1%
1.7%
17
Open Forum Infectious Diseases
134 papers in training set
Top 1%
1.5%
18
Viruses
318 papers in training set
Top 3%
1.3%
19
Journal of General Virology
46 papers in training set
Top 0.5%
1.3%
20
Virus Evolution
140 papers in training set
Top 0.9%
1.3%
21
Scientific Reports
3102 papers in training set
Top 66%
1.2%
22
BMC Infectious Diseases
118 papers in training set
Top 4%
1.2%
23
Nature Communications
4913 papers in training set
Top 57%
1.1%
24
Journal of Medical Virology
137 papers in training set
Top 3%
0.9%
25
Emerging Infectious Diseases
103 papers in training set
Top 2%
0.9%
26
eBioMedicine
130 papers in training set
Top 4%
0.7%
27
Frontiers in Microbiology
375 papers in training set
Top 9%
0.7%
28
Diagnostic Microbiology and Infectious Disease
21 papers in training set
Top 0.3%
0.6%