<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>respiratory microbiota &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/respiratory-microbiota/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Fri, 04 Sep 2026 03:35:49 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>respiratory microbiota &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Fragmented gut and airway microbes mark preschool wheeze, driven by Moraxella clustering</title>
		<link>https://scienmag.com/fragmented-gut-and-airway-microbes-mark-preschool-wheeze-driven-by-moraxella-clustering/</link>
		
		<dc:creator><![CDATA[Morgan Morrow]]></dc:creator>
		<pubDate>Fri, 04 Sep 2026 03:35:46 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[bacterial community organization]]></category>
		<category><![CDATA[early childhood asthma prediction]]></category>
		<category><![CDATA[early childhood asthma predictors]]></category>
		<category><![CDATA[early microbial markers of wheezing]]></category>
		<category><![CDATA[gut–airway axis]]></category>
		<category><![CDATA[gut–airway microbial community structure]]></category>
		<category><![CDATA[gut–airway microbiome]]></category>
		<category><![CDATA[microbiome composition in young children]]></category>
		<category><![CDATA[microbiome interactions]]></category>
		<category><![CDATA[microbiome interactions in respiratory health]]></category>
		<category><![CDATA[microbiome organization and respiratory disease]]></category>
		<category><![CDATA[microbiome-based asthma risk factors]]></category>
		<category><![CDATA[microbiota and wheezing]]></category>
		<category><![CDATA[microbiota and wheezing in children]]></category>
		<category><![CDATA[microbiota-driven respiratory conditions]]></category>
		<category><![CDATA[Moraxella bacteria clustering]]></category>
		<category><![CDATA[Moraxella clustering]]></category>
		<category><![CDATA[pediatric respiratory health]]></category>
		<category><![CDATA[pediatric respiratory microbiome research]]></category>
		<category><![CDATA[Preschool wheeze]]></category>
		<category><![CDATA[Preschool wheeze biomarkers]]></category>
		<category><![CDATA[respiratory microbiota]]></category>
		<category><![CDATA[respiratory microbiota development]]></category>
		<guid isPermaLink="false">https://scienmag.com/fragmented-gut-and-airway-microbes-mark-preschool-wheeze-driven-by-moraxella-clustering/</guid>

					<description><![CDATA[Recurrent wheezing in preschool children is one of the most common reasons young children visit respiratory clinics, and it is also one of the strongest early predictors of later childhood asthma. Yet the biological mechanisms that set wheezing toddlers apart from their healthy peers remain only partly understood. A new study from the German Center [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Recurrent wheezing in preschool children is one of the most common reasons young children visit respiratory clinics, and it is also one of the strongest early predictors of later childhood asthma. Yet the biological mechanisms that set wheezing toddlers apart from their healthy peers remain only partly understood. A new study from the German Center for Lung Research (DZL) now offers an unusually detailed look at one suspect that has been difficult to examine directly: the community of bacteria living along the gut–airway axis in the earliest years of life. The work, published in the journal Microbial Ecology by a large multidisciplinary team led by Silvia Gschwendtner of Helmholtz Munich and Michael Schloter, together with pediatric pulmonologists and allergologists from across Germany, suggests that what distinguishes wheezing preschoolers is not so much which bacteria they carry, but how those bacteria are organized and how they interact with one another across body compartments.</p>
<p>The study was designed as a cross-sectional exploratory pilot study within the ALLIANCE cohort of the German Center for Lung Research, an infrastructure-supported clinical platform that spans several German university hospitals and respiratory research centers. The researchers enrolled twenty-five children between one and four years of age, comparing those with recurrent wheezing against healthy controls of comparable age. Because the gut and the airways are the two largest mucosal surfaces that colonize the infant immune system, the team sampled both compartments simultaneously. Nasal swabs were used to characterize the upper airway bacteriome, while stool samples served as a readout of the intestinal bacteriome. To profile the bacterial communities, the researchers used 16S rRNA gene metabarcoding, a sequencing-based technique that amplifies a conserved region of the ribosomal RNA gene present in virtually all bacteria. By sequencing this marker across thousands of organisms at once, the method produces a census of which genera are present in each sample and at what relative abundance, allowing downstream comparisons of diversity, composition and ecological structure between groups of children.</p>
<p>The first and somewhat sobering finding was one of absence: when the researchers compared overall bacterial richness, evenness and community composition between wheezers and healthy children, they found no statistically significant differences in either the nose or the gut. Across participants, the nasal and stool bacteriomes were highly individualized, meaning each child carried a microbial fingerprint that was distinctive enough to swamp any simple group-level signal. This is a common feature of human microbiome research, particularly in small cohorts, and it underscores why the authors emphasize that this is an exploratory pilot rather than a definitive epidemiological test. But the lack of clear group differences in alpha and beta diversity did not mean the two groups of children looked the same at every level. When the team examined variability within each group, a striking pattern emerged: the wheezing children showed markedly higher within-group variability in their nasal bacterial communities than the healthy children did. In other words, the healthy preschoolers clustered around a shared nasal microbiome profile, while the wheezers were scattered across a much wider range of community states.</p>
<p>To make sense of that scatter, the researchers stratified children according to how similar their microbiomes were to those of the healthy controls, identifying a subset of wheezers whose nasal communities diverged substantially from the healthy pattern. This stratification proved informative. In the divergent nasal samples, the genus Moraxella was markedly increased, while commensal genera that typically contribute to a balanced airway ecosystem—including Prevotella species and Veillonella—were reduced. Richness and evenness were also significantly lower in these divergent samples, with all of these differences reaching a high level of statistical significance. Moraxella catarrhalis is a familiar name in pediatric respiratory medicine; it is a common colonizer of the infant nasopharynx and a frequent culprit in otitis media and respiratory exacerbations, and previous studies have associated Moraxella-dominated airway profiles with increased susceptibility to viral infections and more severe wheezing illnesses. The new findings are consistent with that picture, but they add an important nuance: the association appears within a specific subset of wheezing children rather than across the entire wheezing group, suggesting that &#8220;preschool wheeze&#8221; may encompass microbiologically distinct subphenotypes.</p>
<p>The gut showed changes too, though they were subtler. In wheezers whose stool communities diverged most from the healthy controls, the researchers observed trends toward reduced relative abundance of Bacteroides, Faecalibacterium and Alistipes. All three are genera generally regarded as markers of a mature, functionally healthy gut community in early childhood. Faecalibacterium in particular is a well-studied producer of short-chain fatty acids, metabolites with documented anti-inflammatory effects on the immune system, and several prior cohort studies have linked low early-life abundance of such butyrate-producing bacteria with an elevated risk of allergic disease and asthma. The fact that these changes were trends rather than strongly significant differences in this small sample is worth noting, but the direction of the effect aligns with a growing body of literature implicating gut microbial maturation in immune development during the first years of life.</p>
<p>Where the study becomes genuinely distinctive is in its ecological analysis of how bacterial communities are assembled and how they interact. Microbial ecologists distinguish between deterministic assembly, in which environmental conditions and interspecies interactions select which organisms thrive, and stochastic assembly, in which random dispersal and drift dominate. Applying this framework, the researchers found that community assembly in both the nose and the gut was largely governed by stochastic processes in all children, wheezing and healthy alike. However, when they constructed bacterial interaction networks—graphs in which nodes represent taxa and edges represent statistically inferred correlations between their abundances—a clear structural difference appeared. The wheezing children&#8217;s networks were less complex and more fragmented than those of the healthy controls. A fragmented network is one broken into smaller, poorly connected islands of interacting species, and in microbial ecology such fragmentation is often interpreted as a sign of reduced functional redundancy and diminished community resilience. A less interconnected bacteriome may be more vulnerable to perturbation by viral infections, antibiotics or environmental exposures, and less capable of buffering the host against inflammatory triggers.</p>
<p>The cross-compartment analysis added a further layer. The gut and the airways are physically connected along the respiratory and digestive tracts, and microbial or immunological signals can travel between them, a phenomenon summarized in the concept of the gut–airway axis. When the researchers computed correlations between stool taxa and nasal taxa, the healthy children and the wheezers again parted ways. The most prominent difference involved Lactococcus, a lactic acid bacterium found in the stool samples: in wheezing children, stool Lactococcus showed stronger and more numerous correlations with nasal taxa than in healthy controls. Cross-compartment correlation patterns that differ in strength and topology between health and disease may reflect altered communication along the axis, whether through microbial metabolites, immune cell trafficking between mucosal sites or systemic inflammatory signaling. The divergent wheezers also exhibited a distinct modular network structure, meaning their bacterial communities organized themselves into separate modules with dense internal connections and sparse links between modules, consistent with a qualitatively different microbial organization rather than a simple quantitative shift.</p>
<p>Taken together, the authors&#8217; take-home message is that preschool wheezers display fragmented gut–airway microbial networks and a Moraxella-associated stratification of their airway communities, despite limited differences in overall diversity. This reframing matters for the field because much microbiome research has focused on simple case-control comparisons of mean abundances or diversity indices, approaches that can miss subtle but functionally meaningful differences in network architecture. The current findings suggest that the interaction structure of the microbiome, and its coordination across body compartments, may be a more sensitive indicator of disease-associated microbial states than taxonomic composition alone. They also lend support to the idea that recurrent wheezing in early childhood is not a single entity but a collection of conditions, some of which carry a characteristic microbial signature detectable in the nose and, more faintly, in the gut.</p>
<p>The investigators and outside observers alike will be quick to point out the study&#8217;s limits. Twenty-five children is a small sample, the design is cross-sectional rather than longitudinal, and 16S sequencing resolves bacteria only to the genus level without providing functional information about what the organisms are actually doing. Correlations in network analyses are statistical inferences, not demonstrations of causation, and the direction of causality between microbial fragmentation and wheezing cannot be established from a single snapshot. A child&#8217;s current wheeze could conceivably influence the microbiome, for instance through inflammation or medication use, just as plausibly as the microbiome could shape susceptibility to wheeze. Disentangling these possibilities will require longitudinal cohorts that follow children from birth, ideally combining amplicon sequencing with shotgun metagenomics, metabolomics and detailed clinical phenotyping including lung function measurements.</p>
<p>Even with those caveats, the study provides a template for how the next generation of pediatric microbiome research might proceed. Because it was conducted within the ALLIANCE cohort of the German Center for Lung Research, with clinical sites in Munich, Hannover, Lübeck, Grosshansdorf, Borstel, Marburg and Cologne, it demonstrates the feasibility of simultaneously sampling and analyzing both ends of the gut–airway axis in young children across multiple centers. If larger studies confirm that fragmented microbial networks and Moraxella-driven airway clustering precede or accompany recurrent wheeze, they could eventually inform early risk stratification, helping clinicians identify which wheezing toddlers are most likely to progress to asthma. They might also point toward interventions, whether probiotic, dietary or otherwise, aimed at restoring the connectivity and stability of the developing microbial community. For now, the message is one of cautious excitement: in the microbial ecology of early childhood, how bacteria relate to one another may matter as much as which bacteria are present, and the gut–airway axis is proving to be a communication line worth watching closely in the origins of asthma.</p>
<div class="scienmag-article-metadata"><strong>Subject of Research:</strong> Nasal and gut bacterial communities, their diversity and interaction networks, in preschool children with recurrent wheezing compared with healthy controls along the gut–airway axis.</p>
<p><strong>Article Title:</strong> Fragmented Microbial Networks and Moraxella-Driven Airway Clustering Characterize Preschool Wheezers Across the Gut – Airways Axis</p>
<p><strong>Article References:</strong> Gschwendtner, S., Maison, N., Illi, S., von Mutius, E., Rosenboom, I., Tümmler, B., Dittrich, A.-M., Weckmann, M., Abdo, M., Waschki, B., Kopp, M. V., Hansen, G., Brinkmann, F., Rabe, K., Schaub, B., Schloter, M., the ALLIANCE Study Group, Bürk, M., Contento, S., &#8230; Thomassen, J.-C. (2026). Fragmented Microbial Networks and Moraxella-Driven Airway Clustering Characterize Preschool Wheezers Across the Gut – Airways Axis. <em>Microbial Ecology</em>. <a href="https://doi.org/10.1007/s00248-026-02867-3" target="_blank" rel="noopener noreferrer">https://doi.org/10.1007/s00248-026-02867-3</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00248-026-02867-3" target="_blank" rel="noopener noreferrer">10.1007/s00248-026-02867-3</a></p>
<p><strong>Keywords:</strong> gut–airways axis, microbiome, preschool wheezing, asthma, Moraxella, 16S rRNA gene metabarcoding, microbial networks, ALLIANCE cohort, nasal microbiome, gut microbiome, community assembly, cross-compartment correlations</p>
</div>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">186966</post-id>	</item>
	</channel>
</rss>
