Targeting pathways mediating bone disease.

Curr Pharm Biotechnol

Hematology and BMT Center, Department of Internal Medicine and Biomedical Science, University of Parma, Italy.

Published: December 2006

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Elastic fibers of the internal and external elastic laminae maintain blood vessel shapes. Impairment of smooth muscle cell function leads to vascular disease development. F-box and WD-40 domain-containing protein 2 (FBXW2) is associated with elastic fibers and osteocalcin expression for bone regeneration in the periosteum.

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Purpose Of Review: The canonical pathogenesis of spondyloarthritis (SpA) involves inflammation driven by HLA-B27, type 3 immunity, and gut microbial dysregulation. This review based on information presented at the SPARTAN meeting highlights studies on the pathogenesis of SpA from the past year, focusing on emerging mechanisms such as the roles of microbe-derived metabolites, microRNAs (miRNAs) and cytokines in plasma exosomes, specific T cell subsets, and neutrophils.

Recent Findings: The induction of arthritis in a preclinical model through microbiota-driven alterations in tryptophan catabolism provides new insights as to how intestinal dysbiosis may activate disease via the gut-joint axis.

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Osteoarthritis: An integrative overview from pathogenesis to management.

Malays J Pathol

December 2024

Universiti Kebangsaan Malaysia, 43600 Bangi, Faculty of Medicine, Department of Pharmacology, 56000 Cheras, Kuala Lumpur, Malaysia.

Osteoarthritis (OA) is a prevalent degenerative joint disease characterised by cartilage and subchondral bone breakdown, impacting millions worldwide. This review provides an overview of the complex aetiology of OA, integrating biochemical, mechanical, and genetic factors. It also emphasises a multifaceted management approach, combining non-pharmacological, pharmacological, and surgical treatments.

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Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.

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