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	<title>human metapneumovirus &#8211; Science</title>
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	<title>human metapneumovirus &#8211; Science</title>
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		<title>Rainy-Season Surveillance in Yangon Reveals Shifting Respiratory Virus Landscape</title>
		<link>https://scienmag.com/rainy-season-surveillance-in-yangon-reveals-shifting-respiratory-virus-landscape/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 09:02:25 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[acute respiratory infections]]></category>
		<category><![CDATA[febrile respiratory illness in children]]></category>
		<category><![CDATA[genetic evolution of respiratory viruses]]></category>
		<category><![CDATA[human metapneumovirus]]></category>
		<category><![CDATA[impact of rainy season on virus circulation]]></category>
		<category><![CDATA[influenza A(H3N2)]]></category>
		<category><![CDATA[laboratory-based respiratory virus monitoring]]></category>
		<category><![CDATA[molecular epidemiology of respiratory pathogens]]></category>
		<category><![CDATA[molecular surveillance]]></category>
		<category><![CDATA[Myanmar]]></category>
		<category><![CDATA[next-generation sequencing]]></category>
		<category><![CDATA[pediatric respiratory illness]]></category>
		<category><![CDATA[phylogenetics]]></category>
		<category><![CDATA[public health implications of respiratory virus dynamics]]></category>
		<category><![CDATA[rainy season]]></category>
		<category><![CDATA[rainy season respiratory infections in Myanmar]]></category>
		<category><![CDATA[respiratory infection epidemiology in tropical regions]]></category>
		<category><![CDATA[respiratory syncytial virus]]></category>
		<category><![CDATA[respiratory virus surveillance in Yangon]]></category>
		<category><![CDATA[rhinovirus]]></category>
		<category><![CDATA[urban respiratory disease burden in Southeast Asia]]></category>
		<category><![CDATA[viral diversity during monsoon season]]></category>
		<category><![CDATA[viral pathogen distribution in Yangon]]></category>
		<category><![CDATA[Yangon]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=221546</guid>

					<description><![CDATA[Molecular surveillance of outpatients in Yangon during the 2024 rainy season found that nearly 85 percent of acute respiratory infections were viral, with influenza A(H3N2), RSV-A, and rhinovirus dominating and genetic analysis revealing active evolution of influenza and human metapneumovirus lineages.]]></description>
										<content:encoded><![CDATA[<p>Acute respiratory infections remain one of the most consequential yet under-characterized public health burdens in tropical Southeast Asia, where dense urban populations, year-round viral circulation, and limited diagnostic infrastructure combine to obscure the true epidemiology of common respiratory pathogens. A new molecular surveillance study conducted in Yangon, Myanmar, during the 2024 rainy season offers one of the most detailed snapshots to date of which respiratory viruses were circulating among outpatients in the country&#8217;s largest city, how their activity was distributed across the monsoon months, and how the viruses themselves were evolving at the genetic level. The findings, published in Virology Journal, underscore both the diversity of pathogens responsible for febrile respiratory illness in the region and the value of sustained, laboratory-based monitoring in settings where such data have historically been sparse.</p>
<p>The research team, led by investigators from the Infectious Diseases Research Center of Niigata University in Myanmar in collaboration with Myanmar&#8217;s National Health Laboratory and Thingangyun General Hospital, enrolled 646 outpatients presenting with acute respiratory infections at two Yangon hospitals between June and November 2024, a period spanning the country&#8217;s rainy season. The enrolled patients had a median age of just 3.7 years, reflecting the heavy toll that respiratory illness takes on young children in the region. Nasopharyngeal swabs collected from each participant were first screened using rapid diagnostic tests targeting three of the most clinically significant respiratory viruses: influenza, respiratory syncytial virus (RSV), and SARS-CoV-2. This two-tiered diagnostic strategy allowed the investigators to combine the speed and accessibility of point-of-care testing with the sensitivity and breadth of modern molecular platforms.</p>
<p>Of the 646 samples collected, at least one respiratory pathogen was detected in 548 cases, an overall detection rate of 84.8 percent. This strikingly high proportion confirms that during the rainy season, acute respiratory infections in Yangon are overwhelmingly viral in origin, with only a minority of cases attributable to non-viral causes or to pathogens outside the panel tested. The rapid diagnostic tests returned positive results for 331 specimens, and these were subsequently confirmed by real-time reverse transcription polymerase chain reaction (RT-PCR), the reference standard for respiratory virus detection. Among the RDT-positive specimens, influenza A(H3N2) dominated, accounting for 40.5 percent of detections, followed by RSV subtype A at 21.5 percent and influenza B/Victoria lineage at 20.2 percent. A single case of influenza A(H1N1)pdm09, the pandemic lineage that has circulated seasonally since 2009, was identified, representing just 0.3 percent of RDT-positive detections.</p>
<p>The 315 specimens that tested negative by rapid diagnostic tests were subjected to a far broader molecular interrogation using the BioFire FilmArray Respiratory 2.1 Panel, a multiplex PCR platform capable of detecting more than twenty respiratory pathogens simultaneously, including common coronaviruses, parainfluenza viruses, adenovirus, human rhinovirus and enterovirus, and human metapneumovirus (hMPV). Within this RDT-negative group, human rhinovirus/enterovirus emerged as the most prevalent pathogen, detected in 42.5 percent of specimens, while human metapneumovirus ranked second at 15.2 percent. These results highlight a critical limitation of narrow-panel screening: without multiplex molecular testing, a substantial fraction of the viral etiology of acute respiratory infections would have gone entirely unrecognized, particularly the contributions of rhinoviruses, enteroviruses, and hMPV, which are not covered by most rapid point-of-care assays.</p>
<p>Co-infections, in which more than one respiratory pathogen was detected in the same patient, were identified in 35 of the 229 BioFire-positive specimens, representing 15.3 percent of that subgroup. The frequency of co-detection raises important questions about viral interference, disease severity, and diagnostic interpretation, since the presence of multiple viruses in a single nasopharyngeal swab may reflect genuine simultaneous infection, sequential infection, or prolonged shedding from a prior illness. In pediatric populations such as the one studied in Yangon, where the median patient was under four years old, co-infections are a well-recognized feature of respiratory disease, and their documentation contributes to a more complete understanding of the viral ecology of the rainy season.</p>
<p>The temporal patterns observed across the six-month surveillance window were among the study&#8217;s most operationally significant findings. Influenza activity peaked in July and August, early in the rainy season, while RSV transmission followed a distinct trajectory, reaching its maximum in September. This staggered seasonality, with influenza and RSV peaking in separate months rather than coinciding, has direct implications for clinical preparedness, diagnostic capacity planning, and the timing of preventive interventions. For a tropical setting where respiratory virus seasonality does not follow the temperate winter pattern familiar in higher latitudes, defining these local peaks is essential for guiding when hospitals should anticipate surges in pediatric respiratory admissions and when vaccination campaigns, particularly against seasonal influenza, would deliver the greatest benefit.</p>
<p>Beyond pathogen detection, the study pursued viral genetic characterization to place the Yangon isolates within the global evolutionary context of circulating respiratory viruses. Influenza A(H3N2), A(H1N1)pdm09, and B/Victoria viruses with cycle threshold values below 32, indicating sufficiently high viral loads, underwent next-generation sequencing targeting the hemagglutinin gene, the principal surface antigen against which vaccine-induced and natural immunity are directed. Phylogenetic analysis revealed that the A(H3N2) sequences clustered within clades J.2, J.2.1, and J.2.2, the recently emerged subgroups that have dominated A(H3N2) circulation in many parts of the world. The B/Victoria sequences fell within subclade V1A.3a.2, primarily within the C.5.7 subgroup, while the single A(H1N1)pdm09 sequence belonged to clade C.1.9. These assignments demonstrate that the influenza viruses circulating in Yangon were genetically aligned with contemporary global lineages, information that is directly relevant to assessing the match between circulating strains and the composition of seasonal vaccines.</p>
<p>Perhaps the most notable genetic finding concerned human metapneumovirus, a paramyxovirus that has gained increasing attention as a significant cause of respiratory illness in young children and the elderly. Partial sequencing of the fusion (F) gene, the target of most hMPV genotyping efforts and the gene encoding a major surface glycoprotein, revealed a striking genotype shift between consecutive years: while specimens from 2023 showed a mixture of genotypes A2 and B1, the 2024 samples were predominantly genotype B2. Such inter-annual genotype turnover is a recognized feature of hMPV epidemiology, thought to reflect population-level immune pressure driving the successive dominance of antigenically distinct lineages. Documenting this shift in Myanmar provides valuable data for a region where hMPV genotype dynamics have been poorly characterized, and it illustrates how quickly the genetic composition of even lesser-studied respiratory viruses can change from one season to the next.</p>
<p>The broader significance of the study lies in what it reveals about the state of respiratory virus surveillance in Myanmar and comparable settings. Comprehensive molecular surveillance data from the country have long been limited, leaving public health authorities with an incomplete picture of pathogen distribution, seasonality, and viral evolution. By combining accessible rapid diagnostics with confirmatory RT-PCR, multiplex panel testing, and next-generation sequencing, the surveillance program established a layered diagnostic architecture that could serve as a model for other resource-constrained settings. The work was conducted under the framework of the Japan Initiative for Global Research Network on Infectious Diseases, funded by the Japan Agency for Medical Research and Development, reflecting the growing recognition that infectious disease threats in any region demand internationally collaborative, locally embedded laboratory capacity.</p>
<p>The study&#8217;s conclusions carry clear forward-looking implications. Multiple respiratory viruses co-circulated throughout the 2024 rainy season in Yangon, each following its own seasonal rhythm, and the genetic lineages detected were actively evolving in step with global trends. The authors emphasize that this ongoing viral genetic evolution, from the J.2 clade dominance in influenza A(H3N2) to the hMPV genotype shift toward B2, makes sustained molecular surveillance not merely desirable but necessary. Continuous monitoring of which viruses are circulating, when they peak, and how their genomes are changing provides the evidentiary foundation for vaccine strain selection, clinical guideline updates, and pandemic preparedness. For Myanmar, a country whose surveillance systems have faced substantial challenges, the demonstration that such integrated molecular monitoring is feasible during a single rainy season represents a meaningful step toward closing a long-standing gap in the global map of respiratory virus epidemiology.</p>
<p><strong>Subject of Research:</strong> Molecular surveillance of respiratory viruses among outpatients with acute respiratory infections in Yangon, Myanmar</p>
<p><strong>Article Title:</strong> Molecular surveillance of respiratory viruses among outpatients with acute respiratory infections in Yangon, Myanmar, during the 2024 rainy season</p>
<p><strong>Article References:</strong> Win, S. M. K., Saito, R., Tamura, T., Ichikawa, Y., Matsuno, N., Kyaw, Y., Setk, S., Aye, M. M., Tin, H. H., Lwin, K. W., Linn, A. P., Oo, K. K., Mon, K. L., Sun, Y., Li, J., &amp; Watanabe, H. (2026). Molecular surveillance of respiratory viruses among outpatients with acute respiratory infections in Yangon, Myanmar, during the 2024 rainy season. <em>Virology Journal</em>. <a href="https://doi.org/10.1186/s12985-026-03304-0" rel="noopener noreferrer">https://doi.org/10.1186/s12985-026-03304-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12985-026-03304-0" rel="noopener noreferrer">10.1186/s12985-026-03304-0</a></p>
<p><strong>Keywords:</strong> acute respiratory infections, molecular surveillance, influenza A(H3N2), respiratory syncytial virus, human metapneumovirus, rhinovirus, Myanmar, Yangon, rainy season, phylogenetics, next-generation sequencing, pediatric respiratory illness</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">221546</post-id>	</item>
		<item>
		<title>Mycoplasma Coinfection Raises Odds of Severe Pneumonia in Children With hMPV</title>
		<link>https://scienmag.com/mycoplasma-coinfection-raises-odds-of-severe-pneumonia-in-children-with-hmpv/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Tue, 22 Sep 2026 22:42:28 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[age-stratified respiratory infections]]></category>
		<category><![CDATA[atelectasis]]></category>
		<category><![CDATA[C-Reactive Protein]]></category>
		<category><![CDATA[childhood respiratory disease epidemiology]]></category>
		<category><![CDATA[Children]]></category>
		<category><![CDATA[clinical features of hMPV in children]]></category>
		<category><![CDATA[human metapneumovirus]]></category>
		<category><![CDATA[human metapneumovirus severity]]></category>
		<category><![CDATA[impact of Mycoplasma coinfection]]></category>
		<category><![CDATA[lower respiratory tract infection]]></category>
		<category><![CDATA[microbiological diagnosis of pneumonia]]></category>
		<category><![CDATA[Mycoplasma pneumoniae]]></category>
		<category><![CDATA[Mycoplasma pneumoniae coinfection]]></category>
		<category><![CDATA[next-generation sequencing]]></category>
		<category><![CDATA[next-generation sequencing in pediatric infections]]></category>
		<category><![CDATA[pathogen co-detection]]></category>
		<category><![CDATA[pediatric intensive care]]></category>
		<category><![CDATA[pediatric lower respiratory tract infection]]></category>
		<category><![CDATA[pediatric pneumonia hospitalization data]]></category>
		<category><![CDATA[risk factors]]></category>
		<category><![CDATA[severe pneumonia]]></category>
		<category><![CDATA[severe pneumonia risk factors]]></category>
		<category><![CDATA[viral and bacterial coinfection in children]]></category>
		<category><![CDATA[virology]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=208431</guid>

					<description><![CDATA[A large Chinese cohort study finds that Mycoplasma pneumoniae coinfection and radiological findings such as atelectasis sharply raise the odds of severe pneumonia in children hospitalized with human metapneumovirus.]]></description>
										<content:encoded><![CDATA[<p>Human metapneumovirus, a paramyxovirus first identified in 2001, has long been recognized as one of the leading viral causes of lower respiratory tract infection in young children, yet the way the disease presents across different pediatric ages and the factors that push an ordinary infection toward severe pneumonia have remained only partially mapped. A new retrospective study from the Children&#8217;s Hospital Affiliated to Shandong University in Jinan, China, now offers one of the most detailed age-stratified pictures to date of hospitalized children with confirmed human metapneumovirus lower respiratory tract infection, and it identifies a familiar bacterial companion, Mycoplasma pneumoniae, as a significant contributor to severe disease in older children. The research, published in Virology Journal, analyzed 1,611 hospitalized children aged from birth to under 18 years between 2023 and 2025, using targeted next-generation sequencing to detect pathogens with high sensitivity.</p>
<p>The scale of the cohort allowed the investigators to divide patients into five age bands and compare clinical, laboratory, radiological, and microbiological features across the full pediatric spectrum, something earlier studies, which often focused narrowly on infants or preschool children, could not do. Among the 1,611 children, 57.4 percent were male, 301 children, or 18.7 percent, developed severe pneumonia, and 36 children, or 2.2 percent, required admission to the intensive care unit. The overall ICU admission rate appears modest, but the distribution across ages was strikingly uneven: infants aged zero to six months had the highest ICU admission rate at 7.9 percent, underscoring that the youngest airways, with their narrow caliber and immature immune responses, remain the most vulnerable to life-threatening hMPV disease.</p>
<p>At the opposite end of the pediatric age range, the picture changed dramatically. Children older than six years showed the highest proportions of atelectasis, at 22.4 percent, unilateral lung involvement, at 65.7 percent, and severe pneumonia, at 31.0 percent. This inversion of the usual risk pattern, in which severity is typically assumed to concentrate in infancy, suggests that school-aged children with human metapneumovirus infection should not be dismissed as low risk. The authors note that the very large radiological associations with severity may partly reflect overlap between imaging findings and the extent-based criteria used to define severe pneumonia, a methodological caveat that tempers but does not eliminate the clinical signal.</p>
<p>To identify which factors were independently associated with severe pneumonia, the team built a multivariable logistic regression model incorporating prespecified clinical, laboratory, and microbiological covariates, with selected laboratory variables analyzed as continuous measures. The results were internally coherent from an immunological standpoint. Atelectasis carried the strongest association, with an adjusted odds ratio of 47.52, followed by underlying chronic disease at 9.49, radiological consolidation at 6.82, fever at 3.29, and wheezing at 2.50. Mycoplasma pneumoniae co-detection nearly doubled the odds of severe pneumonia, with an adjusted odds ratio of 1.90. Higher absolute neutrophil counts, rising 1.47-fold per 5 × 10⁹ per liter, and higher C-reactive protein levels, rising 1.14-fold per 10 mg per liter, both pointed toward the heightened inflammatory activation that accompanies more severe lower airway disease.</p>
<p>Two findings ran in the opposite direction and are among the most intriguing in the study. Higher absolute monocyte counts were associated with lower odds of severe pneumonia, with an adjusted odds ratio of 0.71 per 1 × 10⁹ per liter, and bacterial co-detection as a broad category was also associated with reduced odds, at 0.60. The authors do not overinterpret these inverse associations, but they raise the possibility that a robust monocytic response reflects effective innate immune recruitment, while the broad bacterial co-detection category may be diluted by organisms of uncertain clinical significance detected by the highly sensitive sequencing platform. Targeted next-generation sequencing can identify low-abundance nucleic acids whose pathogenic role is ambiguous, a well-recognized challenge in molecular diagnostics that distinguishes colonization or contamination from true coinfection.</p>
<p>The age gradient of Mycoplasma pneumoniae co-detection was one of the clearest patterns in the entire dataset. Among infants aged zero to six months, only 6.0 percent of hMPV-positive children also tested positive for Mycoplasma pneumoniae, but this proportion climbed steadily with age, reaching 50.0 percent in children older than six years. This trajectory mirrors the known epidemiology of Mycoplasma pneumoniae, which is uncommon in early infancy and peaks in school-aged children and adolescents, likely reflecting cumulative exposure to this slow-growing, cell-wall-deficient bacterium in school and community settings. When human metapneumovirus damages the respiratory epithelium, it may facilitate Mycoplasma adherence and invasion of the lower airway, creating a viral-bacterial synergy that manifests as the higher odds of severe pneumonia observed after multivariable adjustment.</p>
<p>Importantly, the overall age-group term in the primary regression model did not reach statistical significance, meaning that age category per se was not an independent predictor of severity once other clinical and laboratory variables were accounted for. What differed across ages was the constellation of manifestations: young infants presented with the physiological fragility that drives ICU admission, while older children presented with the lobar consolidation, atelectasis, and mycoplasmal coinfection that drive classification as severe pneumonia. This distinction between age as a risk marker and age as a modifier of disease phenotype is a subtle but clinically meaningful contribution of the study, because it implies that clinicians should look for different warning signs at different ages rather than applying a single severity rubric uniformly.</p>
<p>Technically, the study relied on targeted next-generation sequencing of respiratory samples, including nasopharyngeal specimens and bronchoalveolar lavage fluid, to characterize the virome and bacteriome of each patient. Compared with conventional polymerase chain reaction panels, this approach captures a broader range of pathogens without requiring prior suspicion of a specific organism, which is precisely what enabled the systematic assessment of pathogen co-detection that formed a central aim of the work. The retrospective design, single-center setting, and reliance on clinically ordered testing all impose limitations, and the authors appropriately flag the potential circularity between radiological extent findings and the severity definition itself. Nevertheless, the internal consistency of the laboratory markers, with neutrophilia and elevated C-reactive protein tracking severity while monocyte counts inversely associated, lends biological plausibility to the model.</p>
<p>The practical implications for pediatric practice are concrete. For infants under six months with human metapneumovirus lower respiratory tract infection, the high ICU admission rate argues for close monitoring of respiratory status, including work of breathing, oxygen saturation trends, and feeding tolerance, even when the child appears initially stable. For school-aged children, the study suggests peri-admission chest imaging when clinically indicated, given the high frequency of atelectasis and unilateral involvement in this group, and prompt further clinical and microbiological evaluation when Mycoplasma pneumoniae is co-detected, since this combination roughly doubles the odds of severe pneumonia. As surveillance of human metapneumovirus intensifies worldwide, following its recognition as an increasingly appreciated cause of pediatric respiratory hospitalization, studies of this kind provide the age-specific evidence base that clinicians need to triage, investigate, and treat children with this common but heterogeneous infection.</p>
<p><strong>Subject of Research:</strong> Age-stratified clinical features and risk factors for severe pneumonia in children hospitalized with human metapneumovirus lower respiratory tract infection</p>
<p><strong>Article Title:</strong> Age-stratified clinical features and factors associated with severe pneumonia in hospitalized children with human metapneumovirus–associated lower respiratory tract infection</p>
<p><strong>Article References:</strong> Zhang, J., Jiang, Q., Lei, M., Sun, Y., &amp; Ma, X. (2026). Age-stratified clinical features and factors associated with severe pneumonia in hospitalized children with human metapneumovirus–associated lower respiratory tract infection. <em>Virology Journal</em>. <a href="https://doi.org/10.1186/s12985-026-03306-y" rel="noopener noreferrer">https://doi.org/10.1186/s12985-026-03306-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12985-026-03306-y" rel="noopener noreferrer">10.1186/s12985-026-03306-y</a></p>
<p><strong>Keywords:</strong> human metapneumovirus, lower respiratory tract infection, severe pneumonia, Mycoplasma pneumoniae, pathogen co-detection, children, next-generation sequencing, atelectasis, C-reactive protein, pediatric intensive care, risk factors, virology</p>
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