Effects of sodium hyaluronate and triamcinolone acetonide on proteoglycan metabolism in equine articular chondrocytes treated with interleukin-1

The objective of this study is to determine if the effects of a high molecular weight sodium hyaluronate (HA) alone or in combination with triamcinolone acetate (TA) can mitigate chondrocyte proteoglycan catabolism caused by interleukin-1 (IL-1) administration. Chondrocytes were collected from fetlock joints of ten horses euthanized for reasons unrelated to joint disease. Chondrocyte pellets were treated with media (negative control); media containing IL-1 only (positive control); or media containing IL-1 with HA only (0.5 or 2.0 mg/mL), TA only (0.06 or 0.6 mg/mL), or HA (0.5 or 2.0 mg/mL) and TA (0.06 or 0.6 mg/mL) in combination. Chondrocyte pellets were assayed for newly synthesized GAG, total GAG content, total DNA content, and mRNA levels of collagen type II, aggrecan, and COX-2. The high concentration of HA (2.0 mg/mL) increased GAG synthesis while the high concentration of TA (0.6 mg/mL) decreased loss of GAG into the media. Both the high concentration of HA and TA increased the total GAG content within the pellet. There was no change in pellet DNA content with either treatment. TA reduced COX-2 mRNA levels as well as aggrecan and collagen type II expression. Treatment with HA had no effect on mRNA levels of COX-2, aggrecan or collagen type II. These results indicate that the high concentration of HA or TA alone or in combination will mitigate effects of IL-1 administration on proteoglycan catabolism of equine articular chondrocytes.

Characterizing neural tissues with mass spectrometry imaging via enhanced computational approaches

Neuropeptides affect the activity of the myriad of neuronal circuits in the brain. They are under tight spatial and chemical control and the dynamics of their release and catabolism directly modify neuronal network activity. Understanding neuropeptide functioning requires approaches to determine their chemical and spatial heterogeneity within neural tissue, but most imaging techniques do not provide the complete information desired. To provide chemical information, most imaging techniques used to study the nervous system require preselection and labeling of the peptides of interest; however, mass spectrometry imaging (MSI) detects analytes across a broad mass range without the need to target a specific analyte. When used with matrix-assisted laser desorption/ionization (MALDI), MSI detects analytes in the mass range of neuropeptides. MALDI MSI simultaneously provides spatial and chemical information resulting in images that plot the spatial distributions of neuropeptides over the surface of a thin slice of neural tissue. Here a variety of approaches for neuropeptide characterization are developed. Specifically, several computational approaches are combined with MALDI MSI to create improved approaches that provide spatial distributions and neuropeptide characterizations. After successfully validating these MALDI MSI protocols, the methods are applied to characterize both known and unidentified neuropeptides from neural tissues. The methods are further adapted from tissue analysis to be able to perform tandem MS (MS/MS) imaging on neuronal cultures to enable the study of network formation. In addition, MALDI MSI has been carried out over the timecourse of nervous system regeneration in planarian flatworms resulting in the discovery of two novel neuropeptides that may be involved in planarian regeneration. In addition, several bioinformatic tools are developed to predict final neuropeptide structures and associated masses that can be compared to experimental MSI data in order to make assignments of neuropeptide identities. The integration of computational approaches into the experimental design of MALDI MSI has allowed improved instrument automation and enhanced data acquisition and analysis. These tools also make the methods versatile and adaptable to new sample types.