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Biology subjects

Clavijo, C.

Publications and source records attributed to Clavijo, C..

2 recordsLinked to original sources

Scalable microvascular networks-on-chip enable 8-week unidirectional perfusion for long-term vascular toxicity screening

Cardiovascular toxicity is a leading cause of late-stage drug attrition, yet current in vitro vascular models lack the longevity and scalability needed to capture clinically relevant responses in mature vasculature. We developed a vascular microphysiological system comprising 32 parallel, self-assembled microvascular networks from primary human endothelial cells and stromal fibroblasts. Networks were unidirectionally perfused by gravity-driven, pump-free flow. They remained functionally perfusable for at least 57 days, the longest duration reported for self-assembled microvascular networks, and underwent progressive maturation characterised by perivascular fibroblast organisation, basement membrane deposition, and matrix remodelling. Variance decomposition confirmed high reproducibility, with intra-plate variability of 3-7% and no operator-dependent effects on network morphometry. Exploiting this extended culture window, we reveal maturation-dependent shifts in endothelial inflammatory responsiveness and cytotoxic susceptibility. Distinct acute and chronic toxicity profiles of clinically used tyrosine kinase inhibitors are resolved, and a concentration- and time-dependent spectrum of sorafenib-induced microvascular responses is produced. These results show that vascular longevity and progressive maturation are key requirements for assessing vascular toxicity, and provide a scalable platform for evaluating acute and chronic drug responses in mature human microvascular tissues.

cell biology↗

An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

In vitro scratch wound healing assay, a simple and low-cost technique that works along with other image analysis tools, is one of the most widely used 2D methods to determine the cellular migration and proliferation in processes such as regeneration and disease. There are open-source programs such as imageJ to analyze images of in vitro scratch wound healing assays, but these tools require manual tuning of various parameters, which is time-consuming and limits image throughput. For that reason, we developed an optimized plugin for imageJ to automatically recognize the wound healing size, correct the average wound width by considering its inclination, and quantify other important parameters such as: area, wound area fraction, average wound width, and width deviation of the wound images obtained from a scratch/ wound healing assay. Our plugin is easy to install and can be used with different operating systems. It can be adapted to analyze both individual images and stacks. Additionally, it allows the analysis of images obtained from bright field, phase contrast, and fluorescence microscopes. In conclusion, this new imageJ plugin is a robust tool to automatically standardize and facilitate quantification of different in vitro wound parameters with high accuracy compared with other tools and manual identification.

bioengineering↗