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Horai, R.

Publications and source records attributed to Horai, R..

7 recordsLinked to original sources

Gut microbial interaction networks control autoimmunity to neuroretina

The gut microbiome influences the development of immune-mediated inflammatory diseases, including autoimmune uveitis, a sight-threatening ocular inflammation driven by retina-specific T cells1. Using a model of spontaneous autoimmune uveitis (sEAU) we showed that gut commensals provide immune stimuli that trigger disease2. Here we report that uveitis-promoting microbes are present in human gut flora and that colonization of germ-free (GF) mice with commensals from healthy human donors was sufficient to provoke disease. Severity of sEAU correlated with expansion of Akkermansia and contraction of short-chain fatty acid (SCFA)-producing Firmicutes, followed by decreased SCFA levels and a dominant gut Th1 effector response. Mechanistic gain-of-function experiments, enriching GF sEAU mice with Akkermansia, reproduced these microbiome, metabolite and immune phenotype shifts, and exacerbated disease, suggesting that Akkermansia promotes autoimmunity by outcompeting SCFA-producers and enhancing Th1-type responses. An inverse correlation between Akkermansia (Verrucomicrobia) and Firmicutes was also present in patients with uveitis, multiple sclerosis and Crohns disease. These findings reveal a stereotypic gut microbial interaction network that regulates systemic immune balance, and may represent an ecologically conserved mechanism through which the gut microbiome modulates autoimmune and inflammatory diseases.

immunology↗

Laquinimod treatment attenuates EAU by inhibiting both the inductive and effector phases in an APC-dependent manner

PurposeTo evaluate the immunomodulatory effects on experimental autoimmune uveitis (EAU) of the aryl hydrocarbon receptor (AhR) agonist Laquinimod (LAQ), and its active metabolite DELAQ, with a focus on dendritic cell- and T cell-mediated mechanisms. MethodsEAU was induced in mice by active immunization or by adoptive transfer of activated T cells. Mice were treated with LAQ either from the time of immunization or from 7 days after. Effects of LAQ were examined in wild-type, global AhR-knockout, or dendritic cell-conditional AhR knockout mice. Direct vs. indirect effects of AhR agonism on dendritic cells and T cells were studied in vitro using DELAQ, a major active metabolite of LAQ. ResultsLAQ treatment from Day 0 fully suppressed EAU, while delayed treatment (Day 7) provided only partial protection. In the adoptive transfer model, LAQ-treated recipients showed reduced pathology. Global AhR-deficient mice developed severe EAU comparable to that of wild-type mice, with an elevated Th17 response. LAQ-treated mice displayed increased frequencies of cDC1 and FoxP3 regulatory T cells. In vitro, DELAQ activated AhR signaling and induced Ido1 and Ido2 expression in dendritic cells. DELAQ inhibited the activation of naive and memory mouse T cells in an APC-dependent manner, as the response to anti-CD3/CD28 stimulation was unaffected. Importantly, DELAQ suppressed recall responses of human PBMC to tetanus toxoid. ConclusionsLAQ protects against EAU by acting on AhR-expressing antigen-presenting cells to impair both priming and reactivation of pathogenic T cells. Its active metabolite DELAQ does not suppress T cells directly, but re-programs dendritic cells toward a tolerogenic, IDO-expressing phenotype that promotes immune regulation.

immunology↗

Vitamin A is necessary for acquisition, but not for expression or progression, of CNS autoimmunity

Vitamin A (VitA) and its derivative retinoic acid (RA) are essential for immunological responses. In VitA deficient (VAD) mice, acquisition of effector responses is impeded, but little is known about maintenance and expression of previously acquired effector function under the VAD conditions. We examined the impact of VAD on progression of autoimmune diseases using two models of uveitis, experimental autoimmune uveitis (EAU) induced by active immunization and spontaneous uveitis in retina-specific T cell receptor transgenic (R161H) mice, and in the model of experimental autoimmune encephalomyelitis (EAE). VAD was induced by dietary lack of VitA from before birth, or by daily injections of a pan-RA receptor inhibitor BMS493 in adult mice fed with the standard diet. VAD mice were essentially resistant to induction of EAU or EAE and displayed impaired effector T cell responses. Defective priming/acquisition of effector function by VAD T cells was also evident. By contrast, spontaneously uveitic R161H mice fed with VAD diet, in which priming of pathogenic T cells occurs before onset of full VAD, only moderately attenuated uveitis compared to VitA sufficient R161H mice. To reconcile somewhat different results between induced model and spontaneous model of uveitis, we examined EAU in partial VAD mice or adoptive transfer into VAD hosts. The results supported that effector T cells primed in VitA-sufficient environment were able to function in VAD environment and induced EAU. We conclude that although priming of naive T cells in the VAD environment is defective, effector function acquired under VitA sufficient conditions is maintained and can be expressed under VAD conditions. Because dietary lack of VitA is rarely profound and may be seasonal, our findings may shed light on immunity and autoimmunity in geographical regions where dietary VitA is limiting.

immunology↗

Chromosome-scale genome assembly of B10.RIII, an autoimmune susceptible mouse strain

BackgroundA vast majority of potential drug candidates are initially tested in mice before human trials, resulting in life-saving treatments and preventive measures. Hundreds of autoimmune disorders, including arthritis, lupus etc., affect millions of people all over the world. Studying those disorders using mouse models is crucial for understanding the disease mechanisms. Knowing the genome sequence of these mouse models would help with those vital studies. B10.RIII is one of the most susceptible mouse strains used as a model to understand autoimmune diseases but did not have its genome sequenced until now. FindingsIn this study, we generated the first, high-quality chromosome level genome sequence of B10.RIII, using a combination of long read, short read and optical mapping techniques. The B10.RIII genome sequence scored higher than the reference mouse genome both in assembly completeness and assembly quality. The B10.RIII genome annotation based on the reference genome identified about 98% of the known reference genes. ConclusionsWe believe the availability of B10.RIII genome sequence will help advance the understanding of autoimmune diseases, giving the researchers a better idea on its unique genetic makeup. Comparative studies of B10.RIII with other mouse models could also significantly enhance the power of these models towards their clinical applications.

immunology↗

IAN: An Intelligent System for Omics Data Analysis and Discovery

IAN is an R package that addresses the challenge of integrating, analyzing and interpreting high-throughput "omics" data, using a multi-agent artificial intelligence (AI) system. IAN leverages popular pathway and regulatory datasets (KEGG, WikiPathways, Reactome, GO, ChEA) and the STRING database for protein-protein interactions to perform standard enrichment analysis. The individual enrichment results are then used to generate insightful summaries, for each of the datasets, using a large language model (LLM) through a multi-agent architecture. These summaries are then contextually integrated and interpreted by the LLM, guided by carefully engineered prompts and grounding instructions, to provide insightful explanations, system overview, key regulators, novel observations etc. We demonstrate IANs potential to facilitate biological discovery from complex omics data, by reanalyzing two already published data and evaluating the results. We also show remarkable performance of IAN, in terms of avoiding hallucination. IAN package, along with installation instructions and example usage, is available on https://github.com/NIH-NEI/IAN.

bioinformatics↗

Ocular immune privilege in action: the living eye imposes unique regulatory and anergic gene signatures on uveitogenic T cells

Despite ocular immune privilege, circulating retina-specific T cells can trigger autoimmune uveitis, yet intraocular bleeding--a relatively common event--rarely leads to disease. Using an in vivo immune privilege model, we previously reported that all naive retina-specific T cells entering the eye become primed in situ; about Ob% become FoxpO+ T-regulatory cells (Tregs), while the rest fail to induce pathology. Here, single-cell transcriptomics and functional validation revealed distinct phenotypes in both populations: ocular Tregs were highly suppressive, whereas non-Tregs expressed suppression- and anergy-associated genes and lacked regulatory function. Trajectory analyses suggested that Tregs and anergic cells arise from a common proliferative precursor in parallel, rather than sequentially. Our data indicate a key checkpoint governing the divergence of anergic and regulatory fates. These findings provide molecular-level insights into ocular immune privilege and may inform strategies to silence autoimmune effector cells or reverse T cell unresponsiveness in cancer, vaccination, or chronic infection. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/640701v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1e13f5org.highwire.dtl.DTLVardef@b065feorg.highwire.dtl.DTLVardef@f83014org.highwire.dtl.DTLVardef@1ca8f0_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIEye-primed retina-specific T cells develop distinct tolerance-associated phenotypes. C_LIO_LIEye-induced anergic T cells remain hyporesponsive to antigen re-stimulation. C_LIO_LIRegulatory and anergic T cells differentiate in parallel from a common precursor. C_LIO_LIInduction of T cell anergy is a novel feature of ocular immune privilege. C_LI

immunology↗

TLR2 Supports γδ T cell IL-17A Response to ocular surface commensals by Metabolic Reprogramming

The ocular surface is a mucosal barrier tissue colonized by commensal microbes, which tune local immunity by eliciting IL-17 from conjunctival {gamma}{delta} T cells to prevent pathogenic infection. The commensal Corynebacterium mastitidis (C. mast) elicits protective IL-17 responses from conjunctival V{gamma}4 T cells through a combination of {gamma}{delta} TCR ligation and IL-1 signaling. Here, we identify V{gamma}6 T cells as a major C. mast-responsive subset in the conjunctiva and uncover its unique activation requirements. We demonstrate that V{gamma}6 cells require not only extrinsic (via dendritic cells) but also intrinsic TLR2 stimulation for optimal IL-17A response. Mechanistically, intrinsic TLR2 signaling was associated with epigenetic changes and enhanced expression of genes responsible for metabolic shift to fatty acid oxidation to support Il17a transcription. We identify one key transcription factor, I{kappa}B{zeta}, which is upregulated by TLR2 stimulation and is essential for this program. Our study highlights the importance of intrinsic TLR2 signaling in driving metabolic reprogramming and production of IL-17A in microbiome-specific mucosal {gamma}{delta} T cells. SummaryOcular commensal Corynebacterium mastitidis (C. mast) induces IL-17 responses from {gamma}{delta} T cells by activating TLR2 signaling. {gamma}{delta} T cell-intrinsic TLR2 stimulation can increase Il17a transcription and promote fatty acid oxidation, favoring {gamma}{delta} T cell IL-17A responses. Highlights(1) V{gamma}6 T cells are a major C. mast-responsive subset in the conjunctiva (2) TLR2-deficient mice exhibit reduced {gamma}{delta} T cell responses to ocular commensal bacteria. (3) {gamma}{delta} T cell-intrinsic TLR2 deficiency causes defects of fatty acid oxidation and IL-17A production in a {gamma}{delta} subset-specific manner. (4) The transcription factor, I{kappa}B{zeta} is upregulated by TLR2 stimulation and supports {gamma}{delta} IL-17A production through fatty acid oxidation. O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/587519v2_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@1d1ba87org.highwire.dtl.DTLVardef@2d17d9org.highwire.dtl.DTLVardef@78e846org.highwire.dtl.DTLVardef@1d96dc2_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗