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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Similarly, no association was detected between SLFN12 mRNA expression and male gender (Kruskal–Wallis test, p = 0.880).
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Finally, we examined whether PDE3A modulators may have efficacy in treating LPS.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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PDE3A and SLFN12 protein expression were first evaluated in eight LPS cell lines (Figure 4A).
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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PDE3A- and SLFN12-coexpression was detected in two of the eight LPS cell lines, SA4 and GOT3, and in the GIST882 control cell line.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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We then measured, with CellTiterGlo, the effect of three PDE3A modulators (anagrelide, BAY 2666605, and DNMDP) and one PDE3A enzyme inhibitor (cilostazol) on cell viability in these cell lines.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Cell viabilities decreased with all PDE3A modulators in all three cell lines (two-tailed unpaired t-test, p < 0.001) (Figure 4B).
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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No response was observed with cilostazol, indicating that PDE3A-and SLFN12-positive LPS cell lines are affected via the PDE3A–SLFN12 complex and not by enzyme inhibition.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Efficacious subtype-specific targeted therapies are currently not available for LPSs.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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In this study, we sought to discover novel genes that are specifically overexpressed in LPS subtypes, via a large-scale transcriptome analysis.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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We identified 381 genes, many of which may have a role in tumorigenesis or cancer biology pathways and, therefore, may serve as therapeutic targets in LPSs.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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As expected, the analysis yielded some known LPS-subtype-specific genes, but also revealed multiple genes that are linked to other cancer types.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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As many of these genes have been described as possibly targetable—for example PAPPA in breast cancer and TROAP in glioma —the discovery of their LPS-subtype-specificity is worth considering for further investigation.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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In addition to identifying individual therapeutic targets, we were interested in examining signaling pathways associated with the overexpressed genes to describe the LPS subtypes and to understand the possible mechanisms of tumorigenesis.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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The emerging hedgehog signaling in the DDLPS-specific pathway analysis is a compelling discovery, as targeting sonic hedgehog signaling and its key factor, GLI1, has been studied in other sarcomas .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Moreover, we identified GLI1 as the most upregulated gene in DDLPS, and previous studies have also shown high expression of two GLI homologs, GLI1 and GLI2, in DDLPS .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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MLPS tumors have frequently been described as having an activated IGF1R/PI3K/Akt signaling pathway that is induced by the FUS-DDIT3 oncoprotein .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Interestingly, a highly homologous pathway, the insulin signaling pathway, was observed as the second-most-upregulated pathway in our analysis, after the phospholipase C-mediated cascade.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Almost all of the upregulated pathways in PLPS were involved in DNA replication and cell proliferation.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Aberrations in cell-division-associated pathways aligns with morphological features of PLPS, which frequently exhibit a high number of mitoses and multinucleated giant cells .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Further studies should be conducted to investigate whether these pathways can be targeted—for example, with cyclin-dependent kinase inhibitors.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Although PDE3A was only ranked 124th on the MLPS DEG list, it caught our attention because it has been recognized in GISTs and described as potentially targetable with drugs, called PDE3A modulators, that are cytotoxic to PDE3A- and SLFN12-coexpressing cell lines .
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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The high PDE3A expression in GISTs and cardiovascular tissue might explain why it ranked relatively low in our analysis.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
In addition to confirming the association between PDE3A expression and the myxoid subtype, via IHC staining, high and frequent PDE3A expression was specifically seen in the high-grade MLPS samples with a round cell phenotype.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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High PDE3A expression, in protein level, was also associated with male gender, but no other connections with clinical factors were observed.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Our pathway analysis identified PDE3A as part of the insulin signaling pathway, which shares significant similarities with the IGF1R/PI3K/Akt pathway, driven by the commonly observed FUS-DDIT3 fusion protein in MLPS .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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However, further research is needed to determine if elevated PDE3A expression is associated with the fusion oncogene-driven pathway alterations.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
The MLPS samples also exhibited higher SLFN12 mRNA expression levels than those of the DDLPS and PLPS samples.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
Interestingly, most of the samples that presented PDE3A and SLFN12 mRNA expression levels that were higher than those of the GIST882 cell line belonged to the myxoid subtype.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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This finding is intriguing and warrants further efficacy studies of PDE3A modulators in LPS in vivo models, as these compounds may lead to an MLPS-specific targeted therapy.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
The study had certain limitations.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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As frozen tissue samples for RNA extraction were not available, we used RNA isolated from FFPE samples, in which RNA is known to be degraded.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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However, in a previous study, we demonstrated that the transcriptomic data derived from FFPE provide profiles that are similar to those of RNA data from fresh-frozen tissue in Merkel cell carcinoma .
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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We were unable to find any PDE3A-positive MLPS cell lines for the study.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
Instead, we used two PDE3A- and SLFN12-positive LPS cell lines, GOT3 classified as a WDLPS, and SA4 with unspecified histology, which showed responses to PDE3A modulators.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
|
Therefore, an association of frequent and high PDE3A expression and the efficacy of PDE3A modulators in MLPS was not confirmed in vitro.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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However, other studies have shown that PDE3A- and SLFN12-expressing cell lines and xenografts of various cancer types are sensitive to PDE3A modulators, suggesting that the mechanism behind the cytotoxic effect is universal and not cell-type dependent .
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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In conclusion, our findings suggest that LPSs, specifically MLPS tumors that coexpress PDE3A and SLFN12, may be candidates for PDE3A modulator treatment.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Further in vivo experiments and optimization of PDE3A and SLFN12 diagnostics should be conducted to identify suitable patients for therapy, ultimately enabling efficient patient stratification and precision medicine in the future.
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PMC10669966
|
PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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In summary, we identified LPS-subtype-specific highly expressed genes, which could potentially be targeted with precision medicine.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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These genes are associated with the hedgehog signaling pathway in DDLPS, phospholipase C, and insulin signaling pathways in MLPS and cell proliferation pathways in PLPS.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Through in vitro experiments, we observed elevated PDE3A expression correlating with high-grade myxoid samples and discovered that two LPS cell lines were responsive to PDE3A modulators.
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PMC10669966
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PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma
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Further research is required to determine whether PDE3A modulators could potentially be used as precision medicine in treating MLPS—specifically, in high-grade tumors.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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The immune–epithelial–stromal interactions underpinning intestinal damage in celiac disease (CD) are incompletely understood.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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To address this, we performed single-cell transcriptomics (RNA sequencing; 86,442 immune, parenchymal and epithelial cells; 35 participants) and spatial transcriptomics (20 participants) on CD intestinal biopsy samples.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Here we show that in CD, epithelial populations shifted toward a progenitor state, with interferon-driven transcriptional responses, and perturbation of secretory and enteroendocrine populations.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Mucosal T cells showed numeric and functional changes in regulatory and follicular helper-like CD4 T cells, intraepithelial lymphocytes, CD8 and γδ T cell subsets, with skewed T cell antigen receptor repertoires.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Mucosal changes remained detectable despite treatment, representing a persistent immune–epithelial ‘scar’.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Spatial transcriptomics defined transcriptional niches beyond those captured in conventional histological scores, including CD-specific lymphoid aggregates containing T cell–B cell interactions.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Receptor–ligand spatial analyses integrated with disease susceptibility gene expression defined networks of altered chemokine and morphogen signaling, and provide potential therapeutic targets for CD prevention and treatment.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Celiac disease (CD) is a common gastrointestinal disorder affecting 1–2% of European and North American populations, in which small intestinal inflammation and damage are driven by aberrant adaptive immune responses to gluten.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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The only treatment is a lifelong gluten-free diet (GFD).
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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There is an unmet therapeutic need for those living with CD, including refractory CD, where ongoing tissue damage occurs despite a GFD.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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A strong genetic component drives CD, dominated by HLA-DQ2 and HLA-DQ8 (ref. ),
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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with association studies identifying over 40 non-HLA genomic loci, implicating over 100 candidate genes and a role for immunoregulatory mechanisms.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Murine models implicate viral infection as a trigger of loss of tolerance driving CD pathogenesis, a hypothesis supported by epidemiological studies.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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CD pathophysiology is multifactorial with several cell types implicated.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Dietary gluten is deamidated by tissue transglutaminase 2, and deamidated gluten peptides presented via HLA-DQ2/HLA-DQ8 to CD4 T cells.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Gluten-specific CD4 T cells possess a distinct type 1 helper T (TH1)/follicular helper T (TFH) cell phenotype, emphasizing the importance of T cell–B cell interactions.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Tissue plasma and B cells may present gluten peptides via HLA-DQ.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Subsequent stimulation of disease-specific plasma cells drives anti-tissue transglutaminase and anti-deamidated gliadin peptide antibody production.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Gluten-specific T cells are necessary but not sufficient to generate mucosal damage.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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The mechanisms by which this response leads to tissue architectural change are incompletely understood.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Intraepithelial lymphocytes (IELs), mainly CD8 T IELs, are highly enriched in CD, likely driven by epithelial and myeloid-derived interleukin (IL)-15, in combination with CD4 T cell-derived IL-2, IL-21 and interferon gamma (IFNγ).
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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IELs may be directly involved in EC killing in a T cell antigen receptor (TCR)-independent manner, via NKG2C and NKG2D and their epithelial ligands MICA and HLA-E. However, the transcriptional state and involvement of TCR signaling in these CD8 T cell populations remains unclear.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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While novel treatments are under development, recent therapeutic trials targeting gluten degradation, gluten-specific CD4 T cell tolerance and IL-15 have been unsuccessful.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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However, therapies including tissue transglutaminase inhibitors and inducers of immune tolerance have shown promise.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Single-cell transcriptomics have redefined cellular landscapes in the gastrointestinal tract, offering insights into CD immunopathology.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Recent studies have sought to understand the cellular basis of CD using mass cytometry, including studies of refractory CD, gluten-specific T cells, and mucosal and circulating T cells.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Single-cell RNA sequencing (scRNA-seq) has been used to study mucosal immune cells, T cells, circulating immune cells and mucosal plasma cells.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Here, we combined single-cell and spatial transcriptomics to define the network of intestinal immune, epithelial and parenchymal cell populations in adults and children with CD.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Our description of spatially localized immune–parenchymal interactions driving inflammation and remodeling of the mucosa, and with specific disease-associated T cell subsets occupying distinct mucosal niches, will facilitate identification of therapeutic targets.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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We generated scRNA-seq profiles of duodenal epithelial, immune and parenchymal populations from 35 participants: 21 with CD (16 children, 5 adults) and 14 controls (5 children, 9 adults; Fig. 1 and Supplementary Table 1).
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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We used complementary single-cell techniques for adult and pediatric datasets, with 86,442 cells sequenced.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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In adults (datasets 1 and 3), we performed scRNA-seq (10x Genomics) on epithelial, immune (Supplementary Fig. 1a,b), stromal and endothelial cells.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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In children (dataset 2), we performed targeted scRNA-seq (BD Rhapsody; 504 targeted gene primer pairs) and surface protein expression (79 oligonucleotide-conjugated antibodies) on intestinal immune cells (Supplementary Fig. 1c,d and Supplementary Tables 2 and 3).Fig.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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1Study schematic.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Schematic of scRNA-seq, RNA-seq, TCR-seq, spatial transcriptomics, and flow cytometry experiments and datasets.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Dataset 1: ECs and total mucosal CD45 cells were isolated from intestinal biopsy samples before scRNA-seq library preparation using the 10x Genomics platform.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 2: total mucosal CD45 cells were isolated from intestinal biopsy samples before combined targeted scRNA-seq and multiplex surface antibody characterization using the BD Rhapsody platform.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 3: scRNA-seq (10x Genomics) was performed on intestinal stromal and endothelial cells.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Datasets 4 and 5: OCT-embedded frozen duodenal biopsy samples were sectioned and used for spatial transcriptomics (10x Visium).
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Datasets 6 and 7: mucosal CD8 T cells were isolated before bulk RNA-seq and TCR-seq.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 8: mucosal CD8 and γδ T cells were isolated before scRNA-seq library preparation using the 10x Genomics platform.
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PMC12133578
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Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
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Dataset 9: flow cytometry of circulating CD8 T cells.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Study participant numbers and disease characteristics, as well as cell numbers after the quality-control pipeline, are indicated.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
ILC, innate lymphoid cell; HC, healthy controls; ACD, active celiac disease; TCD, treated celiac disease.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Schematic of scRNA-seq, RNA-seq, TCR-seq, spatial transcriptomics, and flow cytometry experiments and datasets.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 1: ECs and total mucosal CD45 cells were isolated from intestinal biopsy samples before scRNA-seq library preparation using the 10x Genomics platform.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 2: total mucosal CD45 cells were isolated from intestinal biopsy samples before combined targeted scRNA-seq and multiplex surface antibody characterization using the BD Rhapsody platform.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 3: scRNA-seq (10x Genomics) was performed on intestinal stromal and endothelial cells.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Datasets 4 and 5: OCT-embedded frozen duodenal biopsy samples were sectioned and used for spatial transcriptomics (10x Visium).
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Datasets 6 and 7: mucosal CD8 T cells were isolated before bulk RNA-seq and TCR-seq.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 8: mucosal CD8 and γδ T cells were isolated before scRNA-seq library preparation using the 10x Genomics platform.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Dataset 9: flow cytometry of circulating CD8 T cells.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Study participant numbers and disease characteristics, as well as cell numbers after the quality-control pipeline, are indicated.
|
PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
ILC, innate lymphoid cell; HC, healthy controls; ACD, active celiac disease; TCD, treated celiac disease.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
We analyzed EPCAM epithelial populations from dataset 1.
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Nine transcriptionally distinct epithelial cell (EC) clusters were identified, representing progenitor, secretory and absorptive lineages along the developmental progression of the crypt–villus axis (Fig. 2a,b, Extended Data Fig. 1a and Supplementary Table 4).
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
BEST4 enterocytes (BEST4CA7CPA2), first identified in the colon, were seen, expressing CFTR and showing chloride channel activity (Fig. 2b and Extended Data Fig. 1a).
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PMC12133578
|
Immune-epithelial-stromal networks define the cellular ecosystem of the small intestine in celiac disease.
|
Goblet cells (ITLN1MUC2SPINK4) and tuft cells (PLCG2TRPM5IRAG2) were also identified.
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