Evidence map›Paper›PMID 41524405›Full record

ArticlemBio2026

Emergence and epidemiology of dominant variants of human metapneumovirus in the United States between 2016 and 2021.

Lora Lee Pless, Lambodar Damodaran, Ray Pomponio, Rose Patrick, Marissa Pacey Griffith, Sara Walters, Kady D Waggle, Atalia Pleskovitch, Vatsala Rangachar Srinivasa, Cole A Varela and 6 more

Abstract read
In one paragraph

Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Lora Lee PlessMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0163-3689
Lambodar DamodaranDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ray PomponioDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Rose PatrickMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Marissa Pacey GriffithMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sara WaltersDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Kady D WaggleMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Atalia PleskovitchDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Vatsala Rangachar SrinivasaMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7376-8764
Cole A VarelaDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Lee H HarrisonMicrobial Genomics Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3787-2705
John P BartonDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Louise H MonclaDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Marian G MichaelsDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
John V WilliamsDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Anna F Wang-EricksonDivision of Infectious Diseases, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-9142-7947

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
Host Determinants of Human Metapneumovirus Immunity and PathogenesisR01AI085062 · NIAID · VANDERBILT UNIVERSITY · PI John V. Williams · 2010 to 2026
$5.6M
Quantifying the genetic and environmental factors driving avian influenza spilloverR00AI147029 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MONCLA, LOUISE HILLIER · 2022 to 2023
$498k
NCATS NIH HHS KL2 TR001856NIAID NIH HHS R00 AI147029NIAID NIH HHS R01 AI085062
6 · The paper itself

Abstract

Human metapneumovirus (HMPV) causes acute respiratory disease worldwide and is the second leading cause of lower respiratory infection and hospitalization in young children in the USA. There is no licensed vaccine or therapeutic. HMPV mutates rapidly; however, the specific genomic features that explain strain dominance remain undefined because there is limited routine genomic surveillance of HMPV. We analyzed prospectively collected nasal specimens and medical data from 8,000 pediatric acute respiratory infection cases and sequenced 219 HMPV whole genomes from Pittsburgh, PA, between 2016 and 2021. Only A2, B1, and B2 subgroups were detected. The dominant subgroup varied between seasons. Variants with an in-frame 111- or 180-nucleotide (nt) insertion that nearly duplicates the preceding flanking region in the 660-nt G gene (encodes the attachment protein) were the predominant A2 viruses detected by 2016-2017. Among B2 viruses, variants with smaller in-frame insertions in the same location of the G gene became dominant by 2017-2018. Each insertion length formed a distinct phylogenetic clade. The insertions are in the ectodomain and contain positively charged residues or predicted O-glycosylation sites. Epidemiological analysis revealed that HMPV infection was independently associated with age, insurance type, and comorbidities. Elevated disease severity was independently associated with age and comorbidities, although not with HMPV subgroup. To our knowledge, in the USA, this is the earliest detection of the A2 insertion variants and the first report of the B2 insertion variants. It is the largest population-based genomic HMPV study that provides a detailed phylodynamics and epidemiological analysis of prospectively collected clinical specimens.IMPORTANCEHuman metapneumovirus (HMPV) is a leading cause of lung infection and pediatric hospitalizations worldwide for which there is no licensed vaccine or therapeutic. Because HMPV mutates rapidly, understanding which mutations enhance its ability to multiply and spread is important for the development of interventions and treatments. We prospectively collected patient data and nasal specimens from children with symptoms of acute respiratory illness. The predominant A2 and B2 HMPV variants circulating in the population contained insertions in the attachment protein, which suggests that these insertions may be advantageous to the virus. Furthermore, our analysis suggests that age, insurance type, and underlying health conditions were associated with HMPV infection. Age and underlying health conditions were associated with elevated HMPV disease severity, whereas HMPV subgroup was not. This large HMPV genomic epidemiological study provides insight into patient factors associated with disease and the emergence of the dominant variants in the USA.

Indexed as

Genetic VariationMetapneumovirusParamyxoviridae InfectionsRespiratory Tract InfectionsChildChild, PreschoolFemaleGenome, ViralHumansInfantMalePhylogenyProspective StudiesUnited Statesepidemiologyhuman metapneumoviruspediatric infectious diseasephylogenetic analysiswhole genome sequencing

Identifiers

PMID41524405
PMCPMC12892982

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.