Serum amyloid A receptor blockade and incorporation into high-density lipoprotein modulates its pro-inflammatory and pro-thrombotic activities on vascular endothelial cells.

The acute phase protein serum amyloid A (SAA), a marker of inflammation, induces expression of pro-inflammatory and pro-thrombotic mediators including ICAM-1, VCAM-1, IL-6, IL-8, MCP-1 and tissue factor (TF) in both monocytes/macrophages and endothelial cells, and induces endothelial dysfunction-a precursor to atherosclerosis. In this study, we determined the effect of pharmacological inhibition of known SAA receptors on pro-inflammatory and pro-thrombotic activities of SAA in human carotid artery endothelial cells (HCtAEC). HCtAEC were pre-treated with inhibitors of formyl peptide receptor-like-1 (FPRL-1), WRW4; receptor for advanced glycation-endproducts (RAGE), (endogenous secretory RAGE; esRAGE) and toll-like receptors-2/4 (TLR2/4) (OxPapC), before stimulation by added SAA. Inhibitor activity was also compared to high-density lipoprotein (HDL), a known inhibitor of SAA-induced effects on endothelial cells. SAA significantly increased gene expression of TF, NFκB and TNF and protein levels of TF and VEGF in HCtAEC. These effects were inhibited to variable extents by WRW4, esRAGE and OxPapC either alone or in combination, suggesting involvement of endothelial cell SAA receptors in pro-atherogenic gene expression. In contrast, HDL consistently showed the greatest inhibitory action, and often abrogated SAA-mediated responses. Increasing HDL levels relative to circulating free SAA may prevent SAA-mediated endothelial dysfunction and ameliorate atherogenesis.

Automatic data extraction from 24 hour blood pressure measurement reports of a large multicenter clinical trial.

BACKGROUND AND OBJECTIVES: Ambulatory blood pressure monitoring (ABPM) is usually reported in descriptive values such as circadian averages and standard deviations. Making use of the original, individual blood pressure measurements may be advantageous, particularly for research purposes, as this increases the flexibility of the analytical process, enables alternative statistical analyses and provide novel insights. Here we describe the development of a new multistep, hierarchical data extraction algorithm to collect raw data from .pdf reports and text files as part of a large multi-center clinical study. METHODS: Original reports were saved in a nested file system, from which they were automatically extracted, read and saved into databases with custom made programs written in Python 3. Data were further processed, cleaned and relevant descriptive statistics such as averages and standard deviations calculated according to a variety of definitions of day- and night-time. Additionally, data control mechanisms for manual review of the data and programmatic auto-detection of extraction errors was implemented as part of the project. RESULTS: The developed algorithm extracted 97% of the data automatically, the missing data consisted mostly of reports that were saved incorrectly or not formatted in the specified way. Manual checks comparing samples of the extracted data to original reports indicated a high level of accuracy of the extracted data, no errors introduced due to flaws in the extraction software were detected in the extracted dataset. CONCLUSIONS: The developed multistep, hierarchical data extraction algorithm facilitated collection from different file formats and paired with database cleaning and data processing steps led to an effective and accurate assembly of raw ABPM data for further and adjustable analyses. Manual work was minimized while data quality was ensured with standardized, reproducible procedures.

The endocannabinoid system in pain and inflammation: Its relevance to rheumatic disease.

Pain is the most common manifestation of both acute and chronic inflammation that often challenges patients with rheumatic disease. Simply, we attribute this to local joint changes of pH in joints, the formation of radicals, enhanced joint pressure, or cytokine release acting on local nerves to produce pain. However, there is a more complex interplay of interactions between cytokines, mediators of inflammation, and ion channels that influence the final immune response and our perception of pain. Endocannabinoids, a group of less well-known endogenous bioactive lipids, have such manifold immunomodulatory effects able to influence both inflammation and pain. In this review, we overview the endocannabinoid system, its role in pain, inflammation, and immune regulation, and highlight the emerging challenges and therapeutic hopes.

Endocannabinoids in arthritis: current views and perspective.

Preclinical and clinical studies using cannabis-based therapy have been shown to provide both analgesia and anti-inflammatory effects, with an overall alleviation of clinical symptoms in animal models of arthritis, highlighting its promising therapeutic application for humans. Despite this, the development of cannabis-based therapeutics remains in its infancy, with further investigation into its efficacy and safety profile in patients still required. This synopsis reviews the various components of the endocannabinoid system in health and disease and their potential as therapeutic targets.