Back

Wound healing and angiogenic profiling of dermal endothelial cells isolated from people with type 2 diabetes.

Shadiow, J.; Mazo, C.; Varshney, P.; Kim, J. J.; Ahn, A.; Holmes, C.; Munson, M.; Schmidt, B.; Goonewardena, S.; Minshall, R. D.; Solomon, T.; Haus, J.

2025-07-23 physiology
10.1101/2025.07.18.665569 bioRxiv
Show abstract

Impaired wound healing in type 2 diabetes (T2D) is associated with microvascular dysfunction and remains a significant clinical challenge. We aimed to determine whether primary human dermal microvascular endothelial cells (HDMVECs) from individuals with T2D exhibit abnormal cellular functions, and whether exposure to T2D serum impacts healthy endothelial function. In Experiment 1, T2D-HDMVECs displayed paradoxically higher migratory and angiogenic capacities than their healthy counterparts, despite markedly reduced eNOS expression and disrupted endothelial-identity gene expression. In Experiments 2 and 3, healthy HDMVECs showed decreased tube formation, nitric oxide production, and Notch/angiogenesis-related gene expression after exposure to both healthy and T2D serum, suggesting the presence of serum-derived factors that inhibit these pathways. However, T2D-HDMVECs remained largely unresponsive to these serum-driven effects, reinforcing an "intrinsic" reprogramming of T2D endothelial cells. Overall, our data reveal a complex interplay between cell-autonomous alterations and extrinsic signals in diabetic endothelial dysfunction. Therapeutic strategies targeting both intrinsic cellular programs (e.g., eNOS, Notch signaling) and the circulating milieu may represent promising avenues for enhancing wound repair in patients with T2D.

Published in The FASEB Journal (predicted rank #18) · training set

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.