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Trapecar, M.

Publications and source records attributed to Trapecar, M..

5 recordsLinked to original sources

Inter-organ communication shapes human metabolic tissue states and resolves anti-diabetic drug response modes in a six-tissue microphysiological system

Systemic glucose regulation depends on coordinated signaling among metabolically specialized tissues, yet most human in vitro models capture only limited portions of this network. Here, we developed and benchmarked a perfused human six-tissue MPS by combining AnthroHive, a recirculating perfusion platform, with MOTIVE-6, a six-compartment Multiorgan Tissue Interaction Vessel, to culture human gut epithelium, pancreatic islets, liver organoids, adipocytes, skeletal muscle, and midbrain-patterned brain organoids in a microphysiological system. Shared perfusion redirected engineered tissue states toward tissue-aligned metabolic, endocrine, absorptive, contractile, and neural-associated programs while reducing selected isolation-associated stress and remodeling signatures. Under High nutrient conditions, however, multi-tissue interaction shifted liver and islet responses toward inflammatory and nutrient-stress-associated gene expression, indicating context-dependent effects of cross-compartment signaling. Graded nutrient exposure resolved a staged circuit trajectory: Low nutrient conditions supported maintenance-associated programs, Mid nutrient exposure induced compensatory endocrine and anabolic remodeling with declining net glucose depletion, and High nutrient exposure shifted the system toward stress-associated metabolic dysfunction. Under High conditions, metformin and semaglutide produced distinct response modes. Metformin preserved circuit-level glucose handling without increasing insulin or C-peptide accumulation, while semaglutide remodeled gut, brain organoid, islet, and liver organoid transcriptional programs linked to nutrient sensing, epithelial maintenance, endocrine signaling, and neurometabolic state. Together, this study establishes a benchmarked human six-tissue MPS resource, paired with tissue-resolved transcriptomic, shared-media metabolomic, functional, endocrine, and inflammatory datasets, for investigating how tissue interaction, nutrient availability, and metabolic therapies reshape glucose-regulatory networks. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/726943v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@181cdfforg.highwire.dtl.DTLVardef@fb211eorg.highwire.dtl.DTLVardef@13b7284org.highwire.dtl.DTLVardef@1db7543_HPS_FORMAT_FIGEXP M_FIG C_FIG Created in BioRender. Trapecar, M. (2026) https://BioRender.com/a4tl7nv

bioengineering↗

Personalized Gut-Liver Microphysiological System Maps Donor-Specific Tissue Resident Immunity and Reveals a Conserved Metabolic Crosstalk

Tissue-resident immune (TRI) niches are unique to tissues and greatly vary between individuals. We built a personalized gut-liver microphysiological system (MPS) to recapitulate these profiles, combining primary colon epithelium, hepatocytes, and autologous CD45 TRI cells of two donors. Single-cell RNA-seq of colon and liver revealed distinct TRI profiles and predicted responses distinct between donors. Co-culture established organ and donor-specific immune programs: colonic epithelium induced Th1/Th17 polarization in Donor 1 but B cell differentiation in Donor 2. Gut-liver crosstalk in all donors converged on a retinoid-bile acid metabolic axis with a muted inflammatory set-point, indicating that circulating metabolites can override baseline immune differences. Microbial agonist challenges of gut compartments revealed distinct liver responses: Poly(I:C) induced a uniform type-I/III interferon burst, LPS triggered a stronger response in Donor 1, and 5-OP-RU selectively activated Donor 2. Our personalized, immune-competent gut-liver MPS demonstrates that a conserved metabolic dialogue coexists with and is modulated by TRI profiles. This work provides a blueprint for exploring immunometabolic diseases and precision therapeutics in multi-organ models reflecting human immune diversity.

bioengineering↗

Single-Cell Analysis Reveals Tissue-Specific T Cell Adaptation and Clonal Distribution Across the Human Gut-Liver-Blood Axis

Understanding T cell clonal relationships and tissue-specific adaptations is crucial for deciphering human immune responses, particularly within the gut-liver axis. We performed paired single-cell RNA and T cell receptor sequencing on matched colon (epithelium, lamina propria), liver, and blood T cells from the same human donors. This approach tracked clones across sites and assessed microenvironmental impacts on T cell phenotype. While some clones were shared between blood and tissues, colonic intraepithelial lymphocytes (IELs) exhibited limited overlap with lamina propria T cells, suggesting a largely resident population. Furthermore, tissue-resident memory T cells (TRM) in the colon and liver displayed distinct transcriptional profiles. Notably, our analysis suggested that factors enriched in the liver microenvironment may influence the phenotype of colon lamina propria TRM. This integrated single-cell analysis maps T cell clonal distribution and adaptation across the gut-liver-blood axis, highlighting a potential liver role in shaping colonic immunity.

immunology↗

Systematic Analysis of Human Colorectal Cancer scRNA-seq Revealed Limited Pro-tumoral IL-17 Production Potential in Gamma Delta T Cells

Gamma delta ({gamma}{delta}) T cells play a crucial role in anti-tumor immunity due to their cytotoxic properties. However, the role and extent of {gamma}{delta} T cells in production of pro-tumorigenic interleukin-17 (IL-17) within the tumor microenvironment (TME) of colorectal cancer (CRC) remains controversial. In this study, we re-analyzed nine published human CRC whole-tissue single-cell RNA sequencing (scRNA-seq) datasets, identifying 18,483 {gamma}{delta} T cells out of 951,785 total cells, in the neoplastic or adjacent normal tissue of 165 human CRC patients. Our results confirm that tumor-infiltrating {gamma}{delta} T cells exhibit high cytotoxicity-related transcription in both tumor and adjacent normal tissues, but critically, none of the {gamma}{delta} T cell clusters showed IL-17 production potential. We also identified various {gamma}{delta} T cell subsets, including Teff, TRM, Tpex, and Tex, and noted an increased expression of cytotoxic molecules in tumor-infiltrating {gamma}{delta} T cells compared to their normal area counterparts. Our work demonstrates that {gamma}{delta} T cells in CRC primarily function as cytotoxic effector cells rather than IL-17 producers, mitigating the concerns about their potential pro-tumorigenic roles in CRC, highlighting the importance of accurately characterizing these cells for cancer immunotherapy research and the unneglectable cross-species discrepancy between the mouse and human immune system in the study of cancer immunology.

immunology↗

Gut-Liver physiomimetics reveal paradoxical modulation of IBD-related inflammation by short-chain fatty acids

Association between the microbiome, IBD and liver diseases are known, yet cause and effect remain elusive. By connecting human microphysiological systems of the gut, liver and circulating Treg/Th17 cells, we modeled progression of ulcerative colitis (UC) ex vivo. We show that microbiome-derived short-chain fatty acids (SCFA) may either improve or worsen disease severity, depending on the activation state of CD4 T cells. Employing multiomics, we found SCFA increased production of ketone bodies, glycolysis and lipogenesis, while markedly reducing innate immune activation of the UC gut. However, during acute T cell-mediated inflammation, SCFA exacerbated CD4+ T cell effector function, partially through metabolic reprograming, leading to gut barrier disruption and hepatic injury. These paradoxical findings underscore the emerging utility of human physiomimetic technology in combination with systems immunology to study causality and the fundamental entanglement of immunity, metabolism and tissue homeostasis.\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=87 SRC=\"FIGDIR/small/706812v2_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (31K):\norg.highwire.dtl.DTLVardef@10006b0org.highwire.dtl.DTLVardef@b7344eorg.highwire.dtl.DTLVardef@1cb0c06org.highwire.dtl.DTLVardef@1826e38_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗