Back

Genomic surveillance of human metapneumovirus in the United States, 2010-2025

Bendall, E. E.; Fitzsimmons, W. J.; Valvano, W. D.; Truscon, R.; Self, W. H.; Halasa, N.; Chappell, J. D.; Zhu, Y.; Safdar, B.; Ginde, A. A.; Peltan, I. D.; Gaglani, M.; Columbus, C.; Shapiro, N. I.; Gibbs, K.; Hager, D. N.; Prekker, M. E.; Mohamed, A.; Johnson, N. J.; Steingrub, J.; Khan, A.; Duggal, A.; Wilson, J. G.; Qadir, N.; Busse, L. W.; Kwon, J. H.; Exline, M. C.; Vaughn, I. A.; Mosier, J. M.; Harris, E. S.; Dawood, F. S.; Ma, K.; Surie, D.; Monto, A.; Martin, E. T.; Lauring, A. S.

2026-01-21 infectious diseases
10.64898/2026.01.18.26344359 medRxiv
Show abstract

Human metapneumovirus (HMPV) is a significant cause of acute respiratory illness in both children and adults, yet its genomic epidemiology remains understudied compared to other respiratory viruses. Here, we report an expanded genomic surveillance of HMPV in the United States, utilizing 325 newly sequenced samples from two cohorts: the household-based HIVE study (2010-2022) in Michigan and the multicenter IVY network (2022-2025) of hospitalized adults. Our analyses revealed the continued predominance of the A2.2.2 clade and little geographic structure in the US. Genomic diversity is highest in the glycoprotein (G); we identified a shift from variants bearing the 180nt duplication to ones with a 111nt duplication. Phylogenetic analyses supported the duplication-deletion model for the origin of the duplications. The conserved fusion (F) protein shows limited antigenic variation and low rates of nonsynonymous substitutions, suggesting stability in epitopes targeted by vaccine candidates. These findings underscore the utility of enhanced genomic surveillance for understanding HMPV evolution and informing vaccine development. SummaryGenomic surveillance of HMPV in the United States over a 15 year period reveals extensive genetic diversity and more rapid evolution in the G protein compared to the F protein, which is targeted by vaccines under development.

Published in The Journal of Infectious Diseases (predicted rank #4) · training set

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.