The integrated microfluidic obesity-on-a-chip model from Creative Biolabs supports high-throughput multiplexed cytokine secretion analysis conducted directly in a simulated adipose tissue environment for accelerated metabolic disease drug discovery.
The existing animal and in vitro models do not fully replicate human adipose tissue complexity, which creates inefficiencies in drug discovery. The Obesity-on-a-Chip model functions as an advanced device to combat metabolic diseases. The approach tackles the deficiencies of animal and in vitro models by producing microphysiological systems that simulate adipose tissue's three-dimensional microenvironment. Creative Biolabs' Obesity-on-a-Chip model represents a major advancement in building human-relevant platforms for metabolic disease research.
Creative Biolabs offers a comprehensive suite of endpoint services to complement our Obesity-on-a-Chip model platform, including:
In an era of dynamic technological progress, the significance of disease-on-a-chip models is increased, especially in the aspect of preclinical drug discovery and screening. Depending on our extensive research experience and a group of recognized experts, we are keen to offer trustworthy disease-on-a-chip models and correlated supporting services listed below to support your durg discovery research. Feel free to connect with us for superior technical support.
Our integrated obesity-on-a-chip model consists of two components: a central adipose tissue culture chamber and a peripheral nanoplasmonic localized surface plasmon resonance sensing array. A polydimethylsiloxane (PDMS) layer with an incubation chamber (4-mm central diameter) is fabricated and bound to cover glass for Obesity-on-a-chip culture. We use the predominant cells that are present in the crown-like structure and mediate inflammation in obese adipose tissue to form a biomimetic adipose tissue microenvironment.
Fig.1 BODIPY-Stained Lipid Droplets (Green) in Obesity-on-a-Chip model (Confocal Microscopy).
Obesity leads to the enlargement of fat cells known as adipocyte hypertrophy, which results in metabolic dysfunction. Researchers utilize the Obesity-on-a-Chip model to recreate adipocyte enlargement in vitro, thus creating experimental conditions for studying enlargement mechanisms. Scientific investigations can explore how hypertrophy develops through influences like nutrient overload, as well as inflammation and hormonal imbalances. Precise control over chip microenvironments enables researchers to conduct detailed examinations of cell responses to various stimuli. The model serves as a screening tool for new therapeutic solutions to stop or reverse fat cell enlargement, which could help develop treatments for obesity and its associated conditions.
The persistent low-grade inflammation within fat cells plays a crucial role in causing insulin resistance and type 2 diabetes among obese people. The Obesity-on-a-Chip model can be utilized to investigate inflammatory states and analyze how adipocytes interact with immune cells. Scientists can add immune cells (such as macrophages) to the model to study their interactions with adipocytes within an inflammatory setting. This method provides researchers with the ability to discover new treatment targets that can lower inflammation in fat tissue and enhance metabolic health. The model serves as a testing ground to evaluate anti-inflammatory medications within a controlled setting that mirrors human physiology.
Our biomimetic obesity-on-chip model permits a real-time, chronological observation of the dynamic stages of adipocyte differentiation, as well as facilitates the future development of new prognostic tools useful for personalized treatment strategies that address problems in obesity and its complications. Creative Biolabs provides you with obesity-on-a-chip as an advanced discovery tool for metabolic and obesity research. Our chips will enhance the drug discovery pipeline for obesity, diabetes, and metabolic diseases by improving predictive accuracy.
Apart from obesity-on-a-chip model, you can also find other disease models such as: