Effect of ellagic acid and retinoic acid on collagen and elastin production by human dermal fibroblasts.

BACKGROUND: Elastin is a fibrous protein key to the structure and support of skin as well as other organ tissues. Elastic fibers are located in the skin's dermal layer and make up approximately 2%-4% of the fat-free dry weight of the dermis in the skin of adults. Aging causes the progressive degradation of elastin fibers. Loss of these fibers can cause skin sagging and wrinkling, loss of healthy blood vessels and lung capacity, aneurysms, and Chronic Obstructive Pulmonary Disease (COPD). OBJECTIVE: We hypothesized that ellagic acid, a polyphenol, will increase elastin in human dermal fibroblasts (HDF) due to polyphenols' elastin binding properties. METHOD: We treated HDF's with 2 µg/ml ellagic acid for 28 days to see the elastin deposition in HDF cell cultures. To test this, we treated HDFs with polyphenols ellagic acid for 3, 7, 14 and 21 days. For comparison purposes, we included a group of ellagic acid and retinoic acid since retinoic acid is already in the market for elastin regeneration purposes. RESULTS: When ellagic acid and retinoic acid were introduced together, insoluble elastin and collagen deposition were significantly higher in HDFs compared to other groups. CONCLUSION: Polyphenols and retinoic acid can improve skin extracellular matrix production of elastin and collagen and may improve skin fine wrinkles.

A brain flatmap data visualization tool for mouse, rat, and human.

Here we provide open-access brain data flatmap visualization and analysis tools for the mouse, rat, and human. The present work stems from a previous JCN Toolbox article that introduced a novel flatmap of the mouse brain and substantially enhanced flatmaps of the rat and human brain. These brain flatmap data visualization tools enable computer-generated graphical flatmap representation of tabulated user-entered data. For mouse and rat, they are designed to accommodate data resolved spatially up to the level of gray matter regions, supported by parcellation and nomenclature defined in current brain reference atlases. For human, Brodmann cerebral cortical parcellation is emphasized, and all other major brain divisions are represented. A comprehensive user guide is included along with several use examples. These brain data visualization tools enable the tabulation and automatic graphical flatmap representation of any type of mouse, rat, or human brain data that is spatially localized. The formalized presentation afforded by these graphical tools facilitates comparative analysis between data sets within or between the represented species.