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Tevonian, E. N.

Publications and source records attributed to Tevonian, E. N..

2 recordsLinked to original sources

A Vascularized Liver Microphysiological System Captures Key Features of Hepatic Insulin Resistance and Monocyte Infiltration

Three-dimensional in vitro liver models are a promising means to recapitulate key aspects of human liver disease pathologies, thereby aiding therapeutic development. Spheroidal aggregates of hepatocytes, sometimes including non-parenchymal cells, are an established approach for modeling facets of metabolism and drug responses, yet these models often lack dynamic interactions with vascular and immune cells that also contribute to disease development and progression. To address this, we developed a microphysiological system (MPS) that integrates multicellular human hepatic spheroids with self-organized microvascular networks. We show extensive interaction between primary human spheroids and functional vasculature while maintaining key hepatic functions. We demonstrate the utility of this MPS by modeling an insulin resistance state through chronic exposure to disease-mimetic media conditions. This disease model displays altered hepatocyte metabolism, dysregulated vascular features, and increased inflammation state. Enabled by the functional vasculature, we further extend this disease model to capture changes in immune cell recruitment. When culturing CD14+ monocytes in our liver MPS, a subset of monocytes extravasate, localize to hepatic spheroids, and begin differentiating into CD163+ macrophages. These cells infiltrate with greater frequency in insulin resistant samples, consistent with known clinical findings. All together, this vascularized MPS model captures disease-relevant liver biology including inflammatory features.

bioengineering↗

Monitoring Reactivation of Latent HIV by Label-Free Gradient Light Interference Microscopy

Latent human immunodeficiency virus (HIV) reservoirs in infected individuals present the largest barrier to a cure. The first step towards overcoming this challenge is to understand the science behind latency-reactivation interplay. Fluorescence imaging of GFP-tagged HIV has been the main method for studying reactivation of latent HIV in individually infected cells. In this paper, we report insights provided by label-free, gradient light interference microscopy (GLIM) about the changes in measures including dry mass, diameter, and dry mass density associated with infected cells that occur upon reactivation. We discovered that mean cell dry mass and mean diameter of latently infected cells treated with reactivating drug, TNF-, are higher for cells with reactivated HIV as compared to those with latent disease. Results also indicate that cells with mean dry mass and diameter less than 10pg and 8{micro}m, respectively, remain exclusively in the latent state. Also, cells with mean dry mass greater than 23pg and mean diameter greater than 11{micro}m have a higher probability of reactivating. This study is significant as it presents a new label-free approach to quantify latent reactivation of a virus in single cells based on changes in cell morphology.

bioengineering↗