Biology subjects

Khademhosseini, A.

Publications and source records attributed to Khademhosseini, A..

5 recordsLinked to original sources

bioRxiv2025

Modeling Immunosenescence on-a-chip: a platform for cancer vaccine efficacy assessment

Immunosenescence dramatically reduces cancer vaccine efficacy in elderly patients, who represent the majority of cancer cases. Despite this clinical reality, age-related immune decline is rarely considered in preclinical testing. Therefore, novel in vitro models to test cancer vaccine efficacy, considering immunosenescence, are needed. Our novel lymph node paracortex on-a-chip (LNPoC) platform addresses this gap by recapitulating age-dependent immune responses against cancer vaccines, specifically antigen presentation, antigen-specific T cell activation, and antitumoral responses. Using this platform, we demonstrated that bone marrow-derived antigen-presenting cells (APCs) from young mice (6-7 weeks) displayed significantly enhanced ovalbumin (OVA) peptide presentation compared to APCs from older mice (35-36 weeks). This age-dependent difference translated to significantly greater OVA-specific CD8+ T cell activation and increased cytotoxicity against B16-OVA cancer cells. These age-dependent differences are unique to our LNPoC and undetectable in traditional 2D cultures, confirming that our LNPoC was more effective than 2D cultures at recapitulating immunosenescence-mediated immune responses against cancer vaccines in vitro. The in vivo validation confirms these findings, as young mice demonstrated higher OVA-specific CD8+ T cell responses and smaller tumors than older mice. Our LNPoC is a valuable tool for assessing immunosenescences impact on cancer vaccines, potentially guiding more effective therapies for older adults.

bioengineering↗

bioRxiv2025

Embolization-on-a-chip: Novel Vascularized Liver Tumor Model for Evaluation of Cellular and Cytokine Response to Embolic Agents

BackgroundEmbolization is a well-established treatment modality for liver cancer. However, traditional embolization agents are limited by inefficient delivery and aggregation in blood vessels. Novel shear-thinning hydrogels (STH) have been developed to address the need for safer and more effective local delivery of embolic agents and therapeutics. ObjectiveWe aim to evaluate the efficacy of novel embolic agents such as STH using a human-relevant in vitro model that recapitulates human hepatocellular carcinoma capillary networks. MethodsA vascularized human liver-tumor-on-a-chip model was developed to assess embolic agent performance. The effects of drug-eluting STH (DESTH) on tumor cell viability, surface marker expression, vasculature morphology, and cytokine responses were evaluated. To study the effects of embolization on microvasculature morphology independent of the chemotherapy compound, we assessed the effect of different drug-free embolic agents on the vascular tumor microenvironment under flow conditions. ResultsDESTH treatment induced tumor cell death, downregulated the expression of Epithelial Cell Adhesion Molecules (EpCAM) in HepG2, increased levels of cytokines such as Interleukin-4 (IL-4), Granulocyte-macrophage colony-stimulating factor (GM-CSF), and Vascular Endothelial Growth Factor (VEGF), and decreased albumin secretion. Furthermore, different embolic agents exert distinct effects on microvascular morphology, with STH causing complete regression of the microvascular networks. ConclusionThis vascularized liver tumor-on-a-chip model enables human-relevant, real-time assessment of embolic agent efficacy and vascular response, paving the way for the development of innovative and effective embolization therapies for liver cancer.

bioengineering↗

bioRxiv2024

Microphysiological system modeling pericyte-induced temozolomide resistance in glioblastoma

Glioblastoma (GBM) is a malignancy with poor survival and high rates of chemoresistance. Temozolomide (TMZ), the standard-of-care chemotherapy for GBM patients, but GBM cells can be resistant to TMZ, resulting in limited clinical efficacy. Elucidating the complex mechanisms of TMZ chemoresistance in GBM requires novel in vitro models replicating the complex tumor microenvironment (TME). We present an multicellular 3D GBM model recapitulating the biomechanical characteristics of brain tissues and pericyte-mediated TMZ resistance. The composite hydrogel used to encapsulate GBM spheroids (U87, LN229, and PDM140), pericytes, or GBM spheroids with pericytes, mimics the rheological properties of brain tissues (G[~]800Pa and G"[~]100Pa). When untreated, the GBM models remain viable and proliferative for 14 days. PDM140 spheroids were most sensitive to TMZ (IC50=73M), followed by LN229 (IC50=278M) and U87 (IC50=446M). With pericytes, the viability of TMZ-treated GBM spheroids significantly increases by 22.7% for PDM140, 32.5% for LN229, and 22.1% for U87, confirming pericyte-induced GBM chemoresistance responses. The upregulation (380-fold) of C-C motif chemokine ligand 5 (CCL5) in pericytes upon TMZ treatment could explain the chemoresistance responses. This innovative brain-mimicking 3D GBM model represents a novel in vitro platform for testing the efficacy of TMZ and novel drugs targeting CCL5-mediated chemoresistance pathways in GBM.

bioengineering↗

bioRxiv2023

Engineering Programmable Material-To-Cell Pathways Via Synthetic Notch Receptors To Spatially Control Cellular Phenotypes In Multi-Cellular Constructs

Synthetic Notch (synNotch) receptors are modular synthetic components that are genetically engineered into mammalian cells to detect signals presented by neighboring cells and respond by activating prescribed transcriptional programs. To date, synNotch has been used to program therapeutic cells and pattern morphogenesis in multicellular systems. However, cell-presented ligands have limited versatility for applications that require spatial precision, such as tissue engineering. To address this, we developed a suite of materials to activate synNotch receptors and serve as generalizable platforms for generating user-defined material-to-cell signaling pathways. First, we demonstrate that synNotch ligands, such as GFP, can be conjugated to cell- generated ECM proteins via genetic engineering of fibronectin produced by fibroblasts. We then used enzymatic or click chemistry to covalently link synNotch ligands to gelatin polymers to activate synNotch receptors in cells grown on or within a hydrogel. To achieve microscale control over synNotch activation in cell monolayers, we microcontact printed synNotch ligands onto a surface. We also patterned tissues comprising cells with up to three distinct phenotypes by engineering cells with two distinct synthetic pathways and culturing them on surfaces microfluidically patterned with two synNotch ligands. We showcase this technology by co-transdifferentiating fibroblasts into skeletal muscle or endothelial cell precursors in user-defined spatial patterns towards the engineering of muscle tissue with prescribed vascular networks. Collectively, this suite of approaches extends the synNotch toolkit and provides novel avenues for spatially controlling cellular phenotypes in mammalian multicellular systems, with many broad applications in developmental biology, synthetic morphogenesis, human tissue modeling, and regenerative medicine.

synthetic biology↗

bioRxiv2019

Using Chaos for Facile High-throughput Fabrication of Ordered Multilayer Micro- and Nanostructures

This paper introduces the concept of continuous chaotic printing, i.e., the use of chaotic flows for deterministic and continuous fabrication of fibers with internal multilayered micro-or nanostructures. Two free-flowing materials are coextruded through a printhead containing a miniaturized Kenics static mixer (KSM) composed of multiple helicoidal elements. This produces a fiber with a well-defined internal multilayer microarchitecture at high speeds (>1.0 m min-1). The number of mixing elements and the printhead diameter determine the number and thickness of the internal lamellae, which are generated according to successive bifurcations that yield a vast amount of inter-material surface area (~102 cm2 cm3) and high resolution features (~10 m). In an exciting further development, we demonstrate a scale-down of the microstructure by 3 orders of magnitude, to the nanoscale level (~10 nm), by feeding the output of a continuous chaotic 3D printhead into an electrospinner. Comparison of experimental and computational results demonstrates the robust and predictable output and performance of continuous chaotic 3D printing. The simplicity and high resolution of continuous chaotic printing strongly supports its potential use in novel applications, including--but not limited to--bioprinting of multi-scale tissue-like structures, modeling of bacterial communities, and fabrication of smart multi-material and multilayered constructs.

bioengineering↗