Back

Molecular basis for protection and cross-protection by human antibodies targeting the parainfluenza virus hemagglutinin-neuraminidase protein

McCaffrey, K.; Esfahani, B. G.; Elbehairy, M.; McCormick, A.; Mousa, J.

2026-03-04 immunology
10.64898/2026.03.03.709347 bioRxiv
Show abstract

Human parainfluenza viruses (PIVs) are a leading cause of respiratory illness, particularly in vulnerable populations where infection can lead to severe disease. Despite their clinical impact, there are currently no licensed vaccines or effective antiviral treatments available. PIVs have two large surface proteins, the fusion and hemagglutinin-neuraminidase (HN) proteins, both of which are targets of neutralizing antibodies. In this study, we identified and characterized two human monoclonal antibodies (mAbs), 5217-2 and 5217-9, which bind recombinant PIV3 HN protein, bind PIV3-infected cells, and are neutralizing in vitro. We determined the binding epitopes of the PIV3 HN-specific mAbs via biolayer interferometry and found mAb 5217-9 targets a previously defined neutralizing epitope while mAb 5217-2 binds a unique epitope, enabling a more complete understanding of the antigenic landscape. To further understand the newly defined epitope, we determined a cryo-electron microscopy (cryo-EM) structure of mAb 5217-2, which revealed an epitope adjacent to the PIV3 HN protein active site. We also determined the structure of the previously discovered anti-PIV3 HN mAb PIV3HN-09, which was previously shown to be partially protective in vivo. In a hamster challenge model of PIV3, mAb 5217-2 was determined to significantly reduce lung viral titers, demonstrating its protective capacity. Furthermore, as the site 2-directed mAb PIV3HN-05 was previously shown to cross-neutralize PIV1, we evaluated its protective efficacy in an animal challenge model with PIV1, which demonstrated a reduction in lung viral titers. Overall, these findings provide new insights into the antigenic epitopes on the PIV3 HN protein to support structure-based vaccine design efforts and demonstrate new protective mAbs for both PIV3 and PIV1.

Matching journals

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

1
Cell Reports
1338 papers in training set
Top 3%
9.9%
2
Nature Communications
4913 papers in training set
Top 19%
9.9%
3
Cellular & Molecular Immunology
14 papers in training set
Top 0.2%
6.2%
4
Structure
175 papers in training set
Top 0.4%
6.2%
5
Science
429 papers in training set
Top 6%
4.7%
6
Cell
370 papers in training set
Top 5%
3.9%
7
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 21%
3.5%
8
Science Advances
1098 papers in training set
Top 7%
3.5%
9
eLife
5422 papers in training set
Top 27%
3.5%
50% of probability mass above
10
PLOS Pathogens
721 papers in training set
Top 4%
3.2%
11
Cell Reports Medicine
140 papers in training set
Top 2%
3.2%
12
The Lancet Infectious Diseases
71 papers in training set
Top 0.9%
3.0%
13
Cell Host & Microbe
113 papers in training set
Top 2%
2.8%
14
Journal of Virology
456 papers in training set
Top 2%
2.5%
15
Cell Discovery
54 papers in training set
Top 2%
2.0%
16
Molecular Therapy
71 papers in training set
Top 1%
1.7%
17
Advanced Science
249 papers in training set
Top 11%
1.7%
18
Signal Transduction and Targeted Therapy
29 papers in training set
Top 0.7%
1.7%
19
Protein & Cell
25 papers in training set
Top 1%
1.7%
20
Science Translational Medicine
111 papers in training set
Top 3%
1.5%
21
Immunity
58 papers in training set
Top 3%
1.5%
22
The Innovation
12 papers in training set
Top 0.6%
1.2%
23
Frontiers in Immunology
586 papers in training set
Top 6%
1.2%
24
ACS Nano
99 papers in training set
Top 3%
1.2%
25
mBio
750 papers in training set
Top 9%
1.1%
26
Communications Biology
886 papers in training set
Top 17%
0.9%
27
Nature
575 papers in training set
Top 14%
0.9%
28
iScience
1063 papers in training set
Top 27%
0.9%
29
Emerging Microbes & Infections
74 papers in training set
Top 1%
0.9%
30
ACS Infectious Diseases
74 papers in training set
Top 1%
0.8%