In vitro micro-physiological model of the inflamed human adipose tissue for immune-metabolic analysis in type II diabetes.

Journal: Scientific Reports
Published:
Abstract

Chronic inflammation mediated by the interaction of immune cells and adipocytes is a key underlying factor in obesity-associated type 2 diabetes mellitus (T2DM). Therefore, methods to investigate adipocyte-immune cells interaction and their immuno-metabolic status in obese/T2DM subjects not only serve as an early indicator of disease development but also provide an insight into disease mechanism. A microfluidic-based in vitro model of the human adipose that is interfaced with a co-culture of immune cell has been developed for in vitro immune-metabolic analysis. This miniaturized system integrates a biologically active in vitro cellular system within a perfusion-based microfluidic device for mimicking the major processes that characterize the interaction of adipose tissue with immune cells. A viable immune competent model of the adipocytes/PBMCs co-culture has been demonstrated and characterized. Our testing results showed that the inflammatory cytokine profile obtained from the on-chip culture agrees with those from static transwell based co-culture with more intense responses observed in the chip-based system. The microfluidic chip also allows time-resolved measurement of cytokines that provide reliable data and detailed mechanisms of inflammation. In addition, glucose uptake by the adipocytes from the chip-based cultures showed correlated insulin responsivity/resistivity to the expression of the cytokine profile in different dynamic culture conditions. Testing of the known diabetic drug, metformin, and neutraceutical compound, omega-3, on-chip show agreeable results as compared to the previously reported data. This organotypic culture system offers a physiologically relevant model that exhibits a key characteristic of type 2 diabetic adipose tissues and can be used to study the T2DM mechanisms and diabetic drug screening.

Authors
Patthara Kongsuphol, Shilpi Gupta, Yunxiao Liu, Sajay Bhuvanendran Nair Gourikutty, Subhra Biswas, Qasem Ramadan
Relevant Conditions

Type 2 Diabetes (T2D)