<?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>MHC class II &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/mhc-class-ii/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Mon, 19 Oct 2026 17:21:18 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>MHC class II &#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>Antibiotics Can Reshape Host Immunity and Circadian Rhythms Without Any Microbes</title>
		<link>https://scienmag.com/antibiotics-can-reshape-host-immunity-and-circadian-rhythms-without-any-microbes/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 17:21:18 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[antibiotic effects beyond gut microbiota]]></category>
		<category><![CDATA[antibiotics]]></category>
		<category><![CDATA[antibiotics impact on host immunity]]></category>
		<category><![CDATA[circadian rhythm disruption by antibiotics]]></category>
		<category><![CDATA[circadian rhythms]]></category>
		<category><![CDATA[CompoRes]]></category>
		<category><![CDATA[computational tools for microbiome and host interaction]]></category>
		<category><![CDATA[direct host cell rewiring by antibiotics]]></category>
		<category><![CDATA[Disentangling]]></category>
		<category><![CDATA[germ-free mice]]></category>
		<category><![CDATA[germ-free mice microbiome research]]></category>
		<category><![CDATA[gut microbiota]]></category>
		<category><![CDATA[host physiology]]></category>
		<category><![CDATA[metagenomic sequencing in antibiotic studies]]></category>
		<category><![CDATA[MHC class II]]></category>
		<category><![CDATA[microbiome]]></category>
		<category><![CDATA[microbiome-host-drug interaction analysis]]></category>
		<category><![CDATA[microbiota-dependent]]></category>
		<category><![CDATA[microbiota-independent effects of antibiotics]]></category>
		<category><![CDATA[neuromedin U]]></category>
		<category><![CDATA[transcriptomics in host response analysis]]></category>
		<category><![CDATA[vancomycin]]></category>
		<category><![CDATA[vancomycin microbiota-independent effects]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=314004</guid>

					<description><![CDATA[A new study in Nature Microbiology shows that vancomycin directly disrupts gut circadian rhythms and immune gene expression in germ-free mice, revealing a microbiota-independent pathway by which antibiotics reshape host physiology.]]></description>
										<content:encoded><![CDATA[<p>For nearly a century, antibiotics have been understood as weapons aimed squarely at bacteria. Their effects on the body were assumed to flow through one channel: kill or perturb the gut microbiota, and the host responds to whatever the microbes no longer do. A new study published in Nature Microbiology by a team at Bar-Ilan University and the Hebrew University of Jerusalem now shows that this microbiota-only model is incomplete. Using a combination of germ-free mice, metagenomic sequencing, transcriptomics and a purpose-built computational tool called CompoRes, the researchers demonstrate that vancomycin, one of the most widely used antibiotics in clinical practice, directly rewires host physiology in ways that persist even when no microbes are present at all.</p>
<p>The central challenge the team confronted is one that has long frustrated microbiome researchers. When an antibiotic treatment changes both the composition of the gut microbiota and the expression of host genes, it is extraordinarily difficult to determine which host changes are caused by the microbial shifts and which are caused by the drug acting directly on host cells. Germ-free animals can reveal whether a perturbation acts directly on the host, but until now there was no rigorous statistical tool that could predict, from observational data in conventional animals, whether a given host response was microbiota dependent or microbiota independent. The researchers set out to close that gap.</p>
<p>Their experimental design was ambitious. They treated specific pathogen-free mice with four commonly used antibiotics—vancomycin, ampicillin, metronidazole and neomycin—either individually or in combination, and delivered them through three different routes: oral gavage, intraperitoneal injection and intravenous injection. Mice were treated twice daily for three and a half days, mimicking the shorter antibiotic regimens now favoured in clinical practice. Stool samples were collected before and after treatment to profile the microbiota using 16S rRNA amplicon sequencing, while colonic tissue was harvested for RNA sequencing to capture the host transcriptional response.</p>
<p>One of the most surprising findings concerned vancomycin itself. This is a large, hydrophilic molecule that should cross the gut mucosa poorly, which is precisely why it is given orally to treat intestinal infections like Clostridioides difficile. Yet when the researchers administered vancomycin systemically by intraperitoneal injection, mass spectrometry confirmed that detectable amounts of the drug reached the small intestinal and colonic lumen. The consequences for the microbiota were distinct depending on the route: oral administration drove a dramatic increase in Enterobacteriaceae, while systemic treatment increased Tannerellaceae. Both are Gram-negative families, but the fact that systemic vancomycin reshapes the gut community at all overturns a long-standing assumption about the drug&#8217;s pharmacokinetics.</p>
<p>When the team turned to the host transcriptome, the picture became even more interesting. Intraperitoneal vancomycin affected the largest number of colonic transcripts of any antibiotic studied, and gene set enrichment analysis revealed that the affected pathways included antigen presentation via major histocompatibility complex class II molecules—a core immune function of the gut epithelium. A random forest classifier trained on the transcriptional data could distinguish each antibiotic and each administration route with high accuracy, confirming that different antibiotics produce unique host transcriptional signatures. Remarkably, when the four antibiotics were combined, many of the individual effects on core clock genes were suppressed, and even clinically relevant pairs such as vancomycin plus metronidazole produced non-additive effects on the host that could not be predicted from the single-drug responses.</p>
<p>To disentangle microbiota-dependent from microbiota-independent effects, the researchers developed CompoRes, a computational tool that integrates microbial compositional data with host gene expression profiles. The algorithm first infers correlations among microbial taxa using SPARCC, a method designed for compositional data, and hierarchically clusters them into operational compositional units. It then computes log-ratios of all possible pairs of these units and correlates them with gene expression. Because the number of comparisons is vast relative to sample size, the tool generates a null distribution by shuffling the data at least fifty times, yielding a rigorous P value for each gene. The approach was validated on synthetic data and on experimental ground truths: germ-free mice treated with intraperitoneal vancomycin, where the drug can only act directly on the host, and germ-free mice receiving a faecal microbiota transplant from orally treated mice, where the effect can only flow through the microbiota.</p>
<p>Applying CompoRes to the clock genes Ciart, Nfil3, Per3 and Dbp revealed a striking route-dependent dichotomy. In mice treated orally with vancomycin, the expression of these core circadian regulators correlated strongly with changes in microbiota composition, consistent with previous work showing that the gut microbiota oscillates in a circadian pattern and programs host transcriptome oscillations. But in mice receiving the same drug systemically, the same genes showed no correlation with the microbiota whatsoever. The tool had predicted, purely from data in conventional animals, that systemic vancomycin disrupts circadian gene expression in the gut through a direct, non-microbial pathway. Subsequent experiments in germ-free mice confirmed this prediction: intraperitoneal vancomycin altered core clock gene expression across a 24-hour cycle in animals that had no microbes at all.</p>
<p>The physiological consequences of this microbiota-independent disruption proved to be behavioural. In germ-free mice, vancomycin reversed the normal diurnal expression pattern of metabolic genes such as Ppara, Cd36, Lpl and Fabp4, which typically peak during the light phase when nocturnal mice are fasting. The team found that vancomycin reduced food intake in both germ-free and conventional mice, with feeding normalising after treatment ceased. Transcriptional analysis showed that the drug uniquely altered enteric nervous system transcripts, and immunofluorescence imaging revealed that fluorescein-labelled vancomycin was internalised into myenteric plexus neurons following systemic injection but not oral administration. The drug induced expression of the neuropeptide neuromedin U and its receptor NMUR2, and mice lacking neuromedin U were resistant to vancomycin-induced hypophagia, pinpointing the molecular mechanism by which the antibiotic suppresses appetite.</p>
<p>The downstream immune consequences were equally profound. Expression of the MHC class II genes H2-Aa and H2-Ab1 in the colonic epithelium normally peaks at a specific circadian time point, and the researchers discovered that this oscillation persists in germ-free mice—unlike in the small intestine, where microbial presence is required. They further showed that glucose directly induces H2-Ab1 expression in fasting germ-free mice and in intestinal epithelial cells in vitro, indicating that colonic MHC class II expression follows a diurnal, glucose-responsive pattern dictated by feeding. Vancomycin-induced hypophagia suppressed this peak entirely, meaning the antibiotic disrupts a key antigen-presentation rhythm in the gut through a direct behavioural pathway rather than through any change to the microbiota.</p>
<p>Perhaps most remarkably, the molecular response to vancomycin proved to be evolutionarily conserved. When the researchers reared Drosophila melanogaster on vancomycin-laced food and sequenced adult fly brain RNA, they found that the fly homologues of the mammalian Clock gene and its downstream target timeless were altered, as was klumpfuss, a gene controlling feeding behaviour in flies. The fly orthologue of the NMU receptor was induced in response to the drug, mirroring what the team had observed in mice. This preservation of the vancomycin response across evolutionarily distant organisms suggests that the antibiotic taps into an ancient cellular stress pathway, one that links metabolism, circadian biology and immunity through mechanisms that operate independently of any microbe. The work challenges the microbiota-only model of antibiotic action and provides a framework for identifying direct effects of environmental perturbations on host physiology, with implications for understanding how antibiotics shape immunity, metabolism and circadian health in clinical practice and beyond.</p>
<p><strong>Subject of Research:</strong> Microbiology</p>
<p><strong>Article Title:</strong> Disentangling microbiota-dependent and -independent impacts of antibiotics on host physiology</p>
<p><strong>Article References:</strong> Zelik, L., Levin, Y., Sawaed, J., Telpaz, S., Zigdon, M., Nuriel-Ohayon, M., Rubin, E., Gordon, A., Mogilevski, Z., Yehuda, A., Awad, A., Shaalan, H., Ben-Simon, S., Modilevsky, S., Naama, M., Dalvi, J., Moadi, L., Kurtz, M., Perez, S., &#8230; Bel, S. (2026). Disentangling microbiota-dependent and -independent impacts of antibiotics on host physiology. <em>Nature Microbiology</em>. <a href="https://doi.org/10.1038/s41564-026-02453-w" rel="noopener noreferrer">https://doi.org/10.1038/s41564-026-02453-w</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41564-026-02453-w" rel="noopener noreferrer">10.1038/s41564-026-02453-w</a></p>
<p><strong>Keywords:</strong> antibiotics, gut microbiota, circadian rhythms, vancomycin, MHC class II, neuromedin U, germ-free mice, CompoRes, host physiology, microbiome, Disentangling, microbiota-dependent</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">314004</post-id>	</item>
		<item>
		<title>Mass Spectrometry Uncovers Hidden Bacterial Targets of Tularemia Immunity</title>
		<link>https://scienmag.com/mass-spectrometry-uncovers-hidden-bacterial-targets-of-tularemia-immunity/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Fri, 09 Oct 2026 02:27:12 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Medicine]]></category>
		<category><![CDATA[adaptive immunity in bacterial infections]]></category>
		<category><![CDATA[advanced proteomics in infectious diseases]]></category>
		<category><![CDATA[bacterial protein recognition]]></category>
		<category><![CDATA[bacterial vaccine development]]></category>
		<category><![CDATA[biodefense]]></category>
		<category><![CDATA[biodefense vaccine research]]></category>
		<category><![CDATA[CD4 T cell targets]]></category>
		<category><![CDATA[CD4+ T cells]]></category>
		<category><![CDATA[dendritic cells]]></category>
		<category><![CDATA[epitopes]]></category>
		<category><![CDATA[Francisella tularensis]]></category>
		<category><![CDATA[Francisella tularensis immune response]]></category>
		<category><![CDATA[host-pathogen interactions]]></category>
		<category><![CDATA[immunopeptidomics]]></category>
		<category><![CDATA[interferon-gamma]]></category>
		<category><![CDATA[intracellular bacteria]]></category>
		<category><![CDATA[intracellular pathogen antigen discovery]]></category>
		<category><![CDATA[mass spectrometry]]></category>
		<category><![CDATA[Mass spectrometry-based immunopeptidomics]]></category>
		<category><![CDATA[MHC class II]]></category>
		<category><![CDATA[molecular targets of bacterial immunity]]></category>
		<category><![CDATA[tularemia]]></category>
		<category><![CDATA[Tularemia immunity]]></category>
		<category><![CDATA[Vaccine development]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=251293</guid>

					<description><![CDATA[Using mass spectrometry-based immunopeptidomics, researchers identified 57 MHC-II peptides from 23 Francisella tularensis proteins and pinpointed ten immunogenic CD4 T cell epitopes, five of which dominated responses and formed a peptide vaccine that aided early control of virulent challenge in mice.]]></description>
										<content:encoded><![CDATA[<p>Tularemia, the disease caused by the intracellular bacterium Francisella tularensis, has long occupied an uneasy place in infectious disease research. Although naturally acquired infections are relatively uncommon, the bacterium&#8217;s capacity to cause a severe, sometimes fatal pneumonic illness after inhalation of very few organisms has kept it firmly on lists of biodefense concerns for decades. Efforts to develop a vaccine against it have stretched back nearly a century, yet no licensed human vaccine exists today. A central obstacle has been a stubborn gap in basic knowledge: while researchers know that CD4 T cells, a key arm of adaptive immunity, contribute substantially to protection in experimental models, they have not known precisely which bacterial proteins those cells actually recognize. A new study published in PLOS Pathogens by Pavlina Laskova, Marek Link and colleagues now closes part of that gap, using an unbiased, mass spectrometry-driven approach to identify, for the first time at this scale, the molecular targets that infected immune cells display to the immune system.</p>
<p>The technique at the heart of the study is called immunopeptidomics, and it represents a fundamentally different way of hunting for vaccine antigens. Traditional approaches have typically started with the genome or the proteome of a pathogen and then tested candidate proteins one by one to see whether T cells respond to them. Immunopeptidomics inverts that logic. Instead of asking what a pathogen might theoretically present, it asks what infected cells actually present. When a cell is infected by an intracellular bacterium such as F. tularensis, bacterial proteins are degraded inside the cell into short peptide fragments. A subset of those fragments is loaded onto major histocompatibility complex class II, or MHC-II, molecules and shuttled to the cell surface, where they can be surveyed by CD4 T cells. By isolating these MHC-II molecules from infected cells and sequencing the peptides bound to them with high-resolution mass spectrometry, researchers obtain a direct molecular snapshot of the antigen display process itself.</p>
<p>In the new work, the team infected dendritic cells, the professional antigen-presenting cells of the immune system, with the live vaccine strain of F. tularensis, known as LVS. This attenuated strain has been used for decades and provides partial protection against fully virulent strains in animal models, making it a useful system for dissecting the immune response it induces. After allowing time for antigen processing and presentation, the researchers purified MHC-II peptide complexes from the infected cells and analyzed them by liquid chromatography-tandem mass spectrometry. The screen yielded 57 distinct MHC-II peptides derived from 23 different F. tularensis proteins. This is a technically demanding achievement. Bacterial peptides are vastly outnumbered on the cell surface by peptides derived from the host cell&#8217;s own proteins, so detecting dozens of pathogen-derived sequences requires careful enrichment, sensitive instrumentation, and rigorous validation to distinguish genuine bacterial ligands from background contamination.</p>
<p>One of the most striking findings to emerge from the peptide catalog was its composition. When the authors cross-referenced the 23 source proteins against existing proteomic data for F. tularensis, they found that most of them belong to the highly expressed fraction of the bacterial proteome. This observation carries real biological weight. Antigen presentation is not a random sampling of everything a pathogen makes; it is shaped by how much of each protein the bacterium produces, how quickly the protein is degraded inside the host cell, and how efficiently the resulting fragments fit into MHC-II binding grooves. The predominance of abundant proteins among the presented peptides suggests that the antigen display machinery preferentially samples the proteins that the bacterium relies on most heavily during infection, which is precisely the subset of molecules a vaccine would ideally target.</p>
<p>Identifying presented peptides, however, is only the first step. A peptide displayed on an infected cell is a candidate antigen, but whether the immune system actually mounts a measurable T cell response against it is a separate question. To address this, the researchers immunized mice with the LVS strain and then tested whether CD4 T cells from the immunized animals responded to each of the identified peptides. The readout they used was the production of interferon-gamma, a signature inflammatory cytokine released by activated CD4 T cells of the Th1 type, which is the helper subset considered most relevant for controlling intracellular bacteria. Out of the full panel of peptides, ten emerged as bona fide immunogenic epitopes, meaning they reliably triggered interferon-gamma responses in T cells from vaccinated mice. The breadth of this response was itself informative, revealing that the immune system&#8217;s attention after tularemia vaccination is spread across multiple bacterial proteins rather than concentrated on a single dominant target.</p>
<p>Within that set of ten epitopes, a clear hierarchy became apparent. Five peptides, derived from the antigens FTL_1678, DacD, DnaK, FTL_1498, and MinD, stood out as dominant epitopes, each eliciting a response in at least 80 percent of the immunized animals. The identities of these proteins are intriguing. DnaK is a well-characterized molecular chaperone, a highly conserved protein that helps other bacterial proteins fold correctly, and its abundance inside the bacterium likely explains both its prominence in the MHC-II peptide pool and its immunogenicity. DacD is an enzyme involved in bacterial cell wall metabolism, MinD participates in the machinery that positions the cell division plane, and FTL_1678 and FTL_1498 are proteins of less certain function annotated by their gene numbers in the F. tularensis genome. The fact that two of the five dominant targets are proteins of unknown function underscores how much of the protective immune response to this pathogen has remained invisible to researchers until now.</p>
<p>The logical next question was whether these newly discovered epitopes could be assembled into something therapeutically useful. The team constructed a peptide vaccine containing the dominant epitopes and tested it in mice. The results were encouraging but nuanced. The peptide formulation proved immunogenic, successfully priming CD4 T cell responses against the included epitopes. When vaccinated mice were subsequently challenged with the fully virulent F. tularensis FSC200 strain, the vaccine contributed to the early control of bacterial replication, reducing the bacterial burden during the initial phase of infection. However, the epitope cocktail alone was not sufficient to confer complete protection against the virulent challenge. This outcome is consistent with a growing recognition in the tularemia field that effective immunity against this organism likely requires the coordinated action of multiple immune mechanisms, including CD4 T cells, CD8 T cells, antibodies, and innate effector programs, and that a peptide vaccine targeting a handful of CD4 epitopes represents one component of a more complex protective recipe rather than a standalone solution.</p>
<p>Even with that caveat, the practical implications of the study extend well beyond the immediate vaccine result. The identified epitopes provide researchers with precise molecular reagents for the first time. With known peptide sequences and the knowledge that they are both naturally presented and immunogenic, investigators can now build tetramer or other staining tools to directly count and characterize antigen-specific CD4 T cells in blood and tissues during vaccination studies. Such tools have transformed the study of T cell biology in viral systems, where epitopes are well mapped, but have been largely unavailable for F. tularensis. The epitopes could also serve as benchmarks for comparing vaccine candidates, allowing researchers to measure whether a new formulation actually expands responses to the same protective targets that the live vaccine strain induces. In this sense, the study delivers a toolkit as much as a vaccine lead.</p>
<p>Methodologically, the work also offers a template that can be applied to other intracellular pathogens where the antigenic targets of protective T cells remain obscure. Immunopeptidomics sidesteps the biases of prediction algorithms, which rely on inferred binding motifs and often miss real ligands, and instead reports the actual peptide repertoire as processed by living cells. As mass spectrometry sensitivity continues to improve, the approach is likely to reveal progressively deeper layers of the pathogen-derived peptidome, including peptides from low-abundance proteins and noncanonical sources. For F. tularensis specifically, the identification of conserved and abundant proteins as dominant CD4 T cell targets raises the possibility that immune recognition focuses on functions the bacterium cannot easily alter without fitness costs, a property that would make these antigens comparatively stable vaccine components.</p>
<p>The study leaves open questions that will shape the next phase of research. Whether the same epitopes are presented and recognized in the context of infection with fully virulent strains, rather than the attenuated LVS used for screening, remains to be confirmed, as does their relevance to human immune responses, since the current work was conducted in mice with mouse MHC-II molecules. It also remains to be determined which combinations of epitopes, delivery formats, and adjuvants can convert the early control of bacterial replication observed here into durable, complete protection. What the study establishes, however, is a concrete starting point: a validated list of the bacterial proteins that infected cells actually display, and a demonstration that several of them drive reproducible CD4 T cell immunity. For a pathogen that has resisted vaccine development for generations, that list may prove to be the most valuable map produced in the field in years.</p>
<p><strong>Subject of Research:</strong> Identification of immunogenic CD4 T cell epitopes of Francisella tularensis by MHC-II immunopeptidomics in mice</p>
<p><strong>Article Title:</strong> Immunopeptidomics reveals conserved and abundant Francisella tularensis proteins as immunogenic CD4 T cell antigens in mice</p>
<p><strong>Article References:</strong> Laskova, P., Porkertova, S., Ballek, O., Balonova, L., Pavloskova, J., Neuwirth, A., Pavkova, I., Fabrik, I., Lukac, P., Vannucci, L., Filipp, D., Stulik, J., &amp; Link, M. (2026). Immunopeptidomics reveals conserved and abundant Francisella tularensis proteins as immunogenic CD4 T cell antigens in mice. <em>PLOS Pathogens, 22</em>(9), e1014597. <a href="https://doi.org/10.1371/journal.ppat.1014597" rel="noopener noreferrer">https://doi.org/10.1371/journal.ppat.1014597</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1371/journal.ppat.1014597" rel="noopener noreferrer">10.1371/journal.ppat.1014597</a></p>
<p><strong>Keywords:</strong> Francisella tularensis, tularemia, immunopeptidomics, CD4 T cells, MHC class II, epitopes, vaccine development, mass spectrometry, dendritic cells, interferon-gamma, biodefense, intracellular bacteria</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">251293</post-id>	</item>
		<item>
		<title>Injected Bacterial Antigens Program Gut Immune Memory Through Epithelial Cell Presentation</title>
		<link>https://scienmag.com/injected-bacterial-antigens-program-gut-immune-memory-through-epithelial-cell-presentation/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Thu, 08 Oct 2026 20:26:44 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[antigen presentation]]></category>
		<category><![CDATA[bacterial antigen presentation]]></category>
		<category><![CDATA[bacterial effector proteins]]></category>
		<category><![CDATA[barrier immunity]]></category>
		<category><![CDATA[CD4 T cell fate]]></category>
		<category><![CDATA[CD4+ T cells]]></category>
		<category><![CDATA[Citrobacter rodentium]]></category>
		<category><![CDATA[epithelial cell antigen processing]]></category>
		<category><![CDATA[Gut immune memory]]></category>
		<category><![CDATA[immune memory]]></category>
		<category><![CDATA[intestinal epithelial cells]]></category>
		<category><![CDATA[long-lived immune responses]]></category>
		<category><![CDATA[MHC class II]]></category>
		<category><![CDATA[microbial-host interactions]]></category>
		<category><![CDATA[mucosal immunity]]></category>
		<category><![CDATA[mucosal immunology]]></category>
		<category><![CDATA[mucosal vaccine design]]></category>
		<category><![CDATA[Single-Cell RNA Sequencing]]></category>
		<category><![CDATA[tissue-resident memory]]></category>
		<category><![CDATA[type III secretion system]]></category>
		<category><![CDATA[vaccine design]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=249101</guid>

					<description><![CDATA[New research shows that bacterial proteins injected into gut epithelial cells, rather than those left on the bacterial surface, program long-lived tissue-resident memory CD4 T cells that protect the intestinal barrier.]]></description>
										<content:encoded><![CDATA[<p>The intestinal epithelium is far more than a passive physical barrier against the microbial world. A new study published in Nature Immunology reveals that the cells lining the colon act as decisive architects of long-lived immune memory, determining not only how strongly the immune system responds to a bacterial invader but also where the resulting memory cells take up residence. The research, led by C. Garrett Wilson, M. Pragun Acharya, Carlene L. Zindl and Casey T. Weaver at the University of Alabama at Birmingham, demonstrates that the subcellular destination of bacterial antigens inside host cells fundamentally shapes the fate of CD4 T cells, with profound implications for mucosal vaccine design.</p>
<p>The team used Citrobacter rodentium, a mouse pathogen closely related to the human diarrheal bacteria enteropathogenic and enterohemorrhagic Escherichia coli. These attaching and effacing pathogens colonize the apical surface of intestinal epithelial cells and deploy a type III secretion system, a molecular syringe that injects bacterial effector proteins directly into the host cell cytosol. Crucially, the bacteria never enter the cell as intact organisms; only the injected proteins breach the epithelial barrier. The researchers asked whether this distinction matters immunologically, and the answer proved to be dramatic.</p>
<p>To track a defined immune response, the investigators engineered isogenic C. rodentium strains carrying the same model CD4 T cell epitope, the lymphocytic choriomeningitis virus gp66-80 peptide recognized by SMARTA T cells, fused to different bacterial carrier proteins. Intimin, an outer membrane adhesin, kept the epitope on the bacterial surface. Tir, a translocated receptor, placed it in the epithelial apical membrane. NleA distributed it diffusely through the host cytosol, and EspZ concentrated it in cytosolic clusters beneath attached bacteria. All strains retained wild-type virulence, ensuring that epitope insertion did not compromise bacterial fitness.</p>
<p>When naive SMARTA T cells were transferred into infected mice, the results were striking. Antigens confined to the bacterial surface or the epithelial membrane failed to drive responses beyond background levels, whereas cytosolically delivered antigens triggered robust clonal expansion. NleA-gp66 and EspZ-gp66 induced 28-fold and 47-fold greater accumulation of antigen-specific T cells in the colon, respectively, compared with intimin-gp66. Antigen abundance could not explain the disparity: Tir was the most abundantly secreted protein yet elicited a minimal response, while the poorly expressed EspZ drove the strongest reaction. Compartmentalization, not dose, emerged as the critical determinant of immunogenicity.</p>
<p>The investigators then isolated translocation as the sole variable by comparing full-length EspZ with a truncated variant lacking its type III secretion signal, so that the identical protein and epitope differed only in access to the host cytosol. The bifurcation was even more pronounced: full-length EspZ generated more than a 100-fold increase in mucosal antigen-specific T cells at the peak of the response. This difference held across all infected tissues and time points, establishing that cytosolic delivery alone accounts for the greatest divergence in the clonal CD4 T cell response to bacterial antigen.</p>
<p>Mapping the geography of the response revealed that immunity to C. rodentium is initiated in the cecum, where the bacterium first colonizes a highly focal region near the cecal patch, a gut-associated lymphoid structure. Fluorescence in situ hybridization showed bacteria clustered at the cecal apex, and T cell priming occurred predominantly in the cecum-draining distal mesenteric lymph node before effector cells spread to the distal colon. The weak response to bacterially associated antigen was evident at every site, ruling out differences in priming location as an explanation for the muted reaction to noncytosolic antigens.</p>
<p>The most consequential finding concerned memory. Weeks after bacterial clearance, cytosolic antigens had driven the majority of antigen-specific CD4 T cells into a tissue-resident memory phenotype, marked by CD69 and CD103 expression, whereas noncytosolic antigens left memory cells largely confined to gut-associated lymphoid tissue. Light-sheet fluorescence microscopy of intact, optically cleared colons showed that nearly 69 percent of memory T cells responding to injected antigen occupied the epithelial compartment, a density roughly threefold higher than in lymphoid structures and ninefold higher than the lamina propria. In mice lacking epithelial MHC class II, mucosal memory cells were reduced more than 20-fold, and intraepithelial residency was virtually abolished.</p>
<p>Single-cell RNA sequencing of more than half a million cells exposed the bidirectional dialogue underlying this programming. Epithelial MHC class II expression peaked during infection and persisted long after pathogen clearance, sustaining MHC-class-II-dependent contacts with resident memory T cells, a finding confirmed by LIPSTIC intercellular labeling, which marked about 79 percent of intraepithelial CD4 memory cells as actively engaged with epithelial cells. Interferon-gamma signaling dominated the transcriptional response of epithelial cells receiving T cell help, while ligand-receptor analysis identified MHC class II-CD4 interactions as the dominant epithelial-T cell axis, supplemented by CXCL16-CXCR6 and IL-7 and IL-15 pathways that support tissue residency and survival. Without epithelial antigen presentation, memory differentiation defaulted toward a central memory-like transcriptional program, with reduced expression of residency and effector genes such as Itgae, Ifng and Gzma and increased activity of plasticity-associated factors including Tcf7 and Bach2.</p>
<p>The functional payoff was demonstrated in a heterologous rechallenge experiment. Mice primed with cytosolic antigen-expressing C. rodentium were later challenged with Salmonella Typhimurium engineered to inject the same epitope into epithelial cells via its own secretion system. Primed mice showed significantly lower cecal bacterial burdens, complete survival through the observation window compared with 50 percent mortality in controls, and more than tenfold greater recovery of interferon-gamma-producing memory T cells. The authors conclude that nonprofessional antigen-presenting epithelial cells are central regulators of CD4 T cell memory fate, deploying protective residents precisely where reinfection will be encountered. The findings suggest that vaccines targeting antigens to the cytosol of intestinal epithelial cells could markedly enhance barrier-protective mucosal immunity, while offering new angles for modulating pathological memory in chronic inflammatory disease.</p>
<p><strong>Subject of Research:</strong> How intestinal epithelial cell presentation of cytosol-delivered bacterial antigens programs mucosal CD4 tissue-resident memory T cell formation</p>
<p><strong>Article Title:</strong> Barrier immune memory is programmed by intestinal epithelial cell presentation of cytosol-delivered bacterial antigens</p>
<p><strong>Article References:</strong> Wilson, C. G., Acharya, M. P., Karsch, L., Duck, L. W., Twumasi-Ankrah, N., Wang, Y., Shen, H., Frey, B. F., McKee, A. R., Oza, V. H., Harbour, S. N., Nagaoka-Kamata, Y., Singer, J. R., Hatton, R. D., Moffitt, J., Gunzer, M., Zindl, C. L., &amp; Weaver, C. T. (2026). Barrier immune memory is programmed by intestinal epithelial cell presentation of cytosol-delivered bacterial antigens. <em>Nature Immunology, 27</em>(10), 2117-2133. <a href="https://doi.org/10.1038/s41590-026-02656-7" rel="noopener noreferrer">https://doi.org/10.1038/s41590-026-02656-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41590-026-02656-7" rel="noopener noreferrer">10.1038/s41590-026-02656-7</a></p>
<p><strong>Keywords:</strong> intestinal epithelial cells, antigen presentation, CD4 T cells, tissue-resident memory, Citrobacter rodentium, type III secretion system, MHC class II, mucosal immunology, immune memory, barrier immunity, vaccine design, single-cell RNA sequencing</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">249101</post-id>	</item>
		<item>
		<title>Organoid Platform Uncovers mITGB2 as a Promising CD4-Targeting Neoantigen in Liver Cancer</title>
		<link>https://scienmag.com/organoid-platform-uncovers-mitgb2-as-a-promising-cd4-targeting-neoantigen-in-liver-cancer/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 06:38:06 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[cancer immunotherapy]]></category>
		<category><![CDATA[CD4 T cell-targeting neoantigens]]></category>
		<category><![CDATA[CD4+ T cells]]></category>
		<category><![CDATA[dendritic cells]]></category>
		<category><![CDATA[hepatocellular carcinoma]]></category>
		<category><![CDATA[HLA-DRB1]]></category>
		<category><![CDATA[humanized mouse models]]></category>
		<category><![CDATA[immunotherapy resistance in hepatocellular carcinoma]]></category>
		<category><![CDATA[ITGB2]]></category>
		<category><![CDATA[liver cancer immuno-oncology]]></category>
		<category><![CDATA[liver cancer neoantigen discovery]]></category>
		<category><![CDATA[MHC class II]]></category>
		<category><![CDATA[MHC class II restricted neoantigens]]></category>
		<category><![CDATA[mITGB2 neoantigen in hepatocellular carcinoma]]></category>
		<category><![CDATA[neoantigen]]></category>
		<category><![CDATA[neoantigen identification in liver cancer]]></category>
		<category><![CDATA[neoantigen-driven T helper 1 response]]></category>
		<category><![CDATA[organoid-based tumor screening platform]]></category>
		<category><![CDATA[organoids]]></category>
		<category><![CDATA[peptide-based cancer vaccines]]></category>
		<category><![CDATA[splice variant]]></category>
		<category><![CDATA[T cell exhaustion in liver tumors]]></category>
		<category><![CDATA[Th1 polarization]]></category>
		<category><![CDATA[tumor microenvironment immunosuppression]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=226186</guid>

					<description><![CDATA[Using patient-derived hepatocellular carcinoma organoids, researchers identified mITGB2, a splice-variant-derived peptide presented by MHC class II, as a functionally immunogenic neoantigen that drives Th1 responses and suppresses tumor growth in humanized mice.]]></description>
										<content:encoded><![CDATA[<p>Hepatocellular carcinoma, the most common form of primary liver cancer, remains one of the most immunologically stubborn tumors in clinical oncology. Its tumor microenvironment is densely immunosuppressive, and even the most advanced checkpoint inhibitors deliver durable benefit to only a fraction of patients. Two intertwined problems lie at the heart of this resistance: tumor cells present antigens poorly, and the T cells that do infiltrate the tumor are often exhausted or dysfunctional. A research team based at Sichuan Cancer Hospital and collaborating institutions in Chengdu, China, has now reported a strategy that attacks both problems at once. Writing in Cancer Immunology, Immunotherapy, the group describes a tumor organoid-based screening platform that allowed them to identify a previously overlooked neoantigen, a peptide they call mITGB2, which is restricted by MHC class II molecules and capable of driving a CD4-positive T helper 1 response against liver cancer cells.</p>
<p>The logic of neoantigen-based immunotherapy rests on a simple biological distinction. Tumors accumulate mutations and aberrant RNA processing as they evolve, and some of these alterations generate peptide sequences that are absent from every healthy cell in the body. If those abnormal peptides are displayed on human leukocyte antigen molecules at the cell surface, the immune system can in principle recognize them as foreign. Most neoantigen vaccine efforts to date have focused on peptides presented by MHC class I molecules, which are seen by CD8-positive cytotoxic T cells. The Chinese-led team instead turned their attention to MHC class II presentation, the pathway that engages CD4-positive helper T cells. Helper T cells have historically been treated as supporting players in antitumor immunity, but a growing body of evidence suggests they can orchestrate potent, durable killing, particularly in tumors where class I presentation is weak.</p>
<p>Central to the study is the organoid technology that made the screening possible. Organoids are miniature, self-organizing three-dimensional tissue cultures grown from patient tumor cells, and they preserve much of the cellular and molecular architecture of the original malignancy far better than conventional two-dimensional cell lines. The researchers established hepatocellular carcinoma organoids alongside matched organoids derived from adjacent peritumoral tissue, giving them a paired system in which tumor-specific biology could be distinguished from background liver biology. They then built an organoid-immune cell co-culture model designed to test whether candidate antigens could provoke genuine cytotoxic activity against the tumor organoids themselves, rather than against simplified cell lines that may not reflect the antigen landscape of real tumors.</p>
<p>The discovery pipeline began with proteomic profiling. By comparing the peptide and protein content of tumor organoids with their matched peritumoral counterparts, the team catalogued peptides that were differentially expressed between malignant and healthy tissue. These candidates were then run through computational prediction tools, NetMHCIIpan and the Immune Epitope Database resource, to estimate how strongly each peptide would bind to HLA-DRB1, a common MHC class II molecule. From this ranked list, one candidate stood out: mITGB2, a peptide encoded by a splice variant of the ITGB2 gene. Splice variants arise when RNA is stitched together in an abnormal pattern, a process that is frequently deranged in cancer. The mITGB2 peptide combined high predicted HLA-DRB1 binding affinity with consistent overexpression in the tumor organoids, making it a prime immunogenic suspect.</p>
<p>Before committing to functional experiments, the investigators interrogated the clinical relevance of ITGB2 using data from The Cancer Genome Atlas and samples from their own patient cohort. The pattern that emerged was striking. High ITGB2 expression in hepatocellular carcinoma correlated with increased infiltration of CD4-positive T cells into the tumor and with a more favorable prognosis. This epidemiological signal suggested that ITGB2 is not merely a molecular curiosity but a biologically meaningful target, one that the immune system of at least some patients already notices and responds to. In tumors where antigen presentation is typically a bottleneck, a target that naturally attracts helper T cell traffic is an attractive candidate for therapeutic amplification.</p>
<p>The functional validation proceeded in two stages, in vitro and in vivo. In the laboratory phase, the team loaded dendritic cells, the professional antigen-presenting cells of the immune system, with lysates prepared from the tumor organoids. When these loaded dendritic cells were co-cultured with peripheral blood mononuclear cells, they activated the PBMCs and induced cytotoxicity that was specifically directed against the HCC organoids. Proteomic analysis of this process revealed upregulation of HLA-DRB1, indicating that the co-culture system enhanced antigen presentation capacity, exactly the bottleneck the researchers had set out to relieve. When dendritic cells were instead loaded with the mITGB2 peptide itself, they promoted the polarization of CD4-positive T cells toward the Th1 lineage, the helper subset characterized by inflammatory signaling and strong antitumor activity.</p>
<p>The in vivo stage brought the work into humanized mouse models of hepatocellular carcinoma, animals engineered to carry a functional human immune system so that human-specific immune interactions could be studied. In these models, treatment with mITGB2-loaded dendritic cells suppressed tumor growth. This result is the critical proof of concept for the entire pipeline: a neoantigen discovered through organoid-based proteomics and computational prediction could be formulated into a cellular therapy and elicit measurable tumor control in a living system that approximates human immunology. The authors report that mITGB2 behaved as a functionally immunogenic, MHC class II-restricted neoantigen, a designation that few candidate antigens earn after passing through such a demanding gauntlet of validation.</p>
<p>The broader significance of the study lies in its platform design as much as in the specific target it uncovered. Neoantigen discovery has often depended on genomic sequencing and prediction algorithms alone, an approach that generates long lists of candidates with uncertain immunogenicity and high failure rates in the clinic. By anchoring the search in patient-derived organoids, the Sichuan team ensured that every candidate was drawn from the actual proteomic output of living tumor tissue, and by testing candidates in organoid-immune co-cultures, they filtered for peptides that could genuinely provoke cytotoxic responses rather than merely binding predictions on a computer screen. This workflow, from paired organoid proteomics through HLA binding prediction to functional co-culture and finally humanized animal testing, offers a template that could in principle be applied to other tumor types where antigen presentation and T cell dysfunction limit immunotherapy.</p>
<p>There are, of course, substantial distances between a preclinical result and a licensed medicine. The study was conducted under ethical approval from Sichuan Cancer Hospital with written informed consent from all participants, and the authors declare no conflicts of interest, but the findings remain at the stage of laboratory and animal models. Questions about manufacturing consistency, patient selection, HLA-DRB1 coverage across diverse populations, and the durability of the Th1 response in humans will all need to be answered in future translational work. Nevertheless, the identification of mITGB2 gives the field something concrete: a validated MHC class II-restricted target in a cancer that badly needs new immunotherapeutic options, and a screening platform that produced it. As neoantigen vaccine development matures, approaches that honor the full complexity of the tumor microenvironment, as organoids do, may prove to be the difference between candidates that look promising on paper and therapies that actually work in patients.</p>
<p><strong>Subject of Research:</strong> Identification of the MHC class II neoantigen mITGB2 in hepatocellular carcinoma using an organoid-based screening platform</p>
<p><strong>Article Title:</strong> Identification of mITGB2 as an MHC-II neoantigen using hepatocellular carcinoma organoids</p>
<p><strong>Article References:</strong> Zhong, D., Chen, Y., Ren, Y., Zou, H., Huang, Y., Shi, Y., Yan, H., Huang, X., Yang, Q., &amp; Shang, J. (2026). Identification of mITGB2 as an MHC-II neoantigen using hepatocellular carcinoma organoids. <em>Cancer Immunology, Immunotherapy</em>. <a href="https://doi.org/10.1007/s00262-026-04542-5" rel="noopener noreferrer">https://doi.org/10.1007/s00262-026-04542-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00262-026-04542-5" rel="noopener noreferrer">10.1007/s00262-026-04542-5</a></p>
<p><strong>Keywords:</strong> neoantigen, hepatocellular carcinoma, organoids, MHC class II, ITGB2, CD4 T cells, Th1 polarization, dendritic cells, cancer immunotherapy, HLA-DRB1, splice variant, humanized mouse models</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">226186</post-id>	</item>
		<item>
		<title>Rare IL-15-Driven NK Cell Subset Supercharges T Cell Attack on Melanoma</title>
		<link>https://scienmag.com/rare-il-15-driven-nk-cell-subset-supercharges-t-cell-attack-on-melanoma/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 04:10:10 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[adaptive immune response in cancer]]></category>
		<category><![CDATA[Adoptive cell therapy]]></category>
		<category><![CDATA[antigen-specific CD4+ T cell enhancement]]></category>
		<category><![CDATA[bone marrow-derived NK cells]]></category>
		<category><![CDATA[cancer immunotherapy]]></category>
		<category><![CDATA[CD4-positive T cells]]></category>
		<category><![CDATA[CD86]]></category>
		<category><![CDATA[CXCR3]]></category>
		<category><![CDATA[cytokine-activated immune cells]]></category>
		<category><![CDATA[heterogeneity of natural killer cells]]></category>
		<category><![CDATA[IL-15]]></category>
		<category><![CDATA[IL-15 cytokine-driven natural killer cells]]></category>
		<category><![CDATA[immune microenvironment reshaping in melanoma]]></category>
		<category><![CDATA[immunotherapy targeting NK cells]]></category>
		<category><![CDATA[interferon-gamma]]></category>
		<category><![CDATA[melanoma]]></category>
		<category><![CDATA[MHC class II]]></category>
		<category><![CDATA[NK cell role in melanoma immunity]]></category>
		<category><![CDATA[NK cell subset]]></category>
		<category><![CDATA[NK Cells]]></category>
		<category><![CDATA[regulatory T cells]]></category>
		<category><![CDATA[T cell activation in melanoma]]></category>
		<category><![CDATA[tumor microenvironment]]></category>
		<category><![CDATA[tumor microenvironment modulation]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=225562</guid>

					<description><![CDATA[Researchers have identified a bone marrow-derived CD11c-positive B220-positive NK cell subset selectively expanded by IL-15 that outperforms conventional NK cells against melanoma by reshaping the tumor microenvironment and amplifying antigen-specific CD4-positive T cell immunity.]]></description>
										<content:encoded><![CDATA[<p>Natural killer cells have long been celebrated as the blunt instruments of the immune system—rapid responders that destroy tumor cells on contact without the elaborate antigen-specific training that defines T and B lymphocytes. A new study published in Cancer Immunology, Immunotherapy suggests that this reputation sells them short. Researchers report the identification of a distinctive bone marrow-derived NK cell subset, expanded selectively by the cytokine interleukin-15, that does far more than kill melanoma cells directly. These cells, the authors show, orchestrate the adaptive immune response against tumors, reshaping the microenvironment inside melanomas and amplifying antigen-specific CD4-positive T cell immunity in ways that conventional NK cells cannot match.</p>
<p>The team, led by Chun-Yu Shen of Tungs&#8217; Taichung MetroHarbor Hospital and Gilbert Aaron Lee of Taipei Medical University, together with colleagues at Taipei Medical University and Duke University Medical Center, began with a simple observation that belies a complex biology: NK cells are not a uniform population. They comprise heterogeneous subsets with distinct developmental trajectories and effector functions. What remained unclear—and what the study set out to resolve—was whether any particular NK subset could selectively coordinate adaptive antitumor immunity rather than simply participating in innate killing. The answer, according to the new work, is yes, and the subset in question carries an unusual immunophenotypic signature.</p>
<p>Writing in the open-access journal, the researchers describe isolating a population of murine bone marrow-derived NK cells that co-expresses CD11c and B220, markers more commonly associated with dendritic cells and B lymphocytes. They dubbed these cells DPNKs, for double-positive NK cells, and found that interleukin-15, a cytokine well known for its role in NK cell development and survival, selectively expands this population during ex vivo culture. When the team sorted IL-15-expanded bone marrow cells into DPNKs and conventional NK cells, or cNKs, and transferred them into mice bearing B16 melanoma tumors, the DPNKs demonstrated clearly superior antitumor efficacy. The result pointed to something qualitatively different about these cells, not merely a quantitative boost in cytotoxicity.</p>
<p>That qualitative difference, the study reveals, lies in how DPNKs remodel the tumor microenvironment. Rather than acting solely as killers, the transferred DPNKs shifted the immunological balance inside melanomas toward a stimulatory state. The researchers documented an increase in the intratumoral ratio of effector T cells to regulatory T cells—a critical metric in tumor immunology, since regulatory T cells suppress antitumor responses and their abundance often correlates with poor outcomes. More strikingly, DPNK treatment enhanced tumor antigen-specific CD4-positive T cell responses, suggesting that these NK cells function as facilitators of adaptive immunity, priming and supporting helper T cells that recognize tumor antigens.</p>
<p>To dissect the mechanisms underpinning this effect, the investigators systematically tested the involvement of key immune mediators. Tumor control mediated by DPNKs depended on host-derived interferon-gamma, the signature cytokine of both NK cells and Th1-type T cells, but did not require interleukin-4, indicating a polarized, cell-mediated immune response rather than an antibody-oriented one. The team also examined the role of major histocompatibility complex class II molecules, which allow professional antigen-presenting cells to display captured antigens to CD4-positive T cells. DPNKs upregulated MHC-II and the co-stimulatory molecule CD86 after interacting with melanoma cells, hinting at antigen-presenting capacity. Yet, in a twist that complicates the straightforward interpretation, the promotion of CD4-positive T cell responses occurred independently of the DPNKs&#8217; own intrinsic MHC-II expression, implying that the subset stimulates helper T cells through indirect routes—perhaps by licensing other antigen-presenting cells or by altering cytokine milieus within the tumor.</p>
<p>The functional importance of CD4-positive T cells to the therapy&#8217;s success was confirmed through depletion experiments. When the researchers depleted either CD4-positive or CD8-positive T cells in mice receiving DPNK treatment, the tumor-regressive effect was significantly attenuated compared with DPNK treatment alone. This finding establishes that the therapeutic benefit of the subset is not a cell-autonomous killing effect but a genuinely cooperative phenomenon requiring both major T cell compartments. In effect, the DPNKs act as conductors, and the T cells perform the symphony—a division of labor that challenges the conventional view of adoptive NK cell therapy as a stand-alone cytotoxic intervention.</p>
<p>Another mechanistic pillar of the study concerns trafficking. The researchers found that elevated expression of CXCR3, a chemokine receptor that guides cells toward inflammatory chemokines such as CXCL9 and CXCL10 commonly produced in tumors, was essential for DPNK-mediated tumor control. Without adequate CXCR3 expression, the subset&#8217;s antitumor effect waned, underscoring that a cell&#8217;s ability to reach and infiltrate the tumor bed is as decisive as its effector repertoire. This detail carries practical weight for translational work: any protocol aiming to generate therapeutic DPNK-like cells must preserve or enhance their homing capacity, not just their cytotoxic or immunostimulatory functions.</p>
<p>Crucially, the team extended the findings beyond the mouse. When human NK cells were expanded with interleukin-15 in vitro, the culture enriched a CD56-positive, HLA-DR-positive NK cell population—the human counterpart, in functional terms, of the murine DPNKs. These IL-15-expanded human NK cells displayed enhanced cytotoxicity against targets, increased CD86 expression, and, importantly, a demonstrated capacity to stimulate T cells. The parallel suggests that the subset-guided strategy is not a rodent-specific curiosity but a principle that can be harnessed in human cell manufacturing, a prerequisite for any credible clinical translation.</p>
<p>The implications for cancer immunotherapy are considerable. Adoptive cell therapies have transformed the treatment landscape for certain hematological malignancies, most notably through chimeric antigen receptor T cells, but solid tumors such as melanoma remain stubbornly resistant, in part because of immunosuppressive microenvironments dominated by regulatory T cells and exhausted effector populations. A cell product that simultaneously kills tumor cells, tips the effector-to-regulatory T cell balance, and amplifies antigen-specific CD4-positive helper responses addresses several of these barriers at once. The study&#8217;s authors position DPNKs as a therapeutically relevant NK subset that reprograms CD4-positive T cell responses in melanoma, and they argue that their work supports IL-15-based generation of immunostimulatory human NK cells for translational cancer immunotherapy.</p>
<p>Cautions remain, as they always do in preclinical immunology. The findings derive from murine B16 melanoma models and from ex vivo human cell cultures; whether DPNK-based approaches will prove safe, durable, and effective in patients is a question only controlled trials can answer. The independence of the CD4-positive T cell effect from intrinsic MHC-II expression leaves open the precise cellular intermediaries through which the subset exerts its influence, and the requirement for host interferon-gamma means that patients with impaired interferon signaling might respond poorly. Nevertheless, the study adds a compelling new entry to the growing catalog of NK cell heterogeneity and offers a concrete manufacturing logic: guide IL-15 expansion toward the right subset, and the innate immune system may be persuaded to do more than kill—it may be persuaded to teach.</p>
<p><strong>Subject of Research:</strong> IL-15-expanded CD11c-positive B220-positive NK cell subsets and their amplification of antigen-specific CD4-positive T cell immunity in melanoma</p>
<p><strong>Article Title:</strong> Subset-guided IL-15 expansion of NK cells amplifies antigen-specific CD4+ T cell immunity in melanoma</p>
<p><strong>Article References:</strong> Shen, C.-Y., Chang, Y.-W., Tseng, L.-W., Pan, B.-S., &amp; Lee, G. A. (2026). Subset-guided IL-15 expansion of NK cells amplifies antigen-specific CD4+ T cell immunity in melanoma. <em>Cancer Immunology, Immunotherapy</em>. <a href="https://doi.org/10.1007/s00262-026-04559-w" rel="noopener noreferrer">https://doi.org/10.1007/s00262-026-04559-w</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00262-026-04559-w" rel="noopener noreferrer">10.1007/s00262-026-04559-w</a></p>
<p><strong>Keywords:</strong> NK cells, IL-15, melanoma, CD4-positive T cells, cancer immunotherapy, adoptive cell therapy, tumor microenvironment, interferon-gamma, CXCR3, MHC class II, CD86, regulatory T cells</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">225562</post-id>	</item>
	</channel>
</rss>
