Objective. Osteoarthritis (OA) is characterized by progressive degeneration of articular cartilage and remodeling of the subchondral bone plate, comprising calcified cartilage and underlying subchondral bone. Calcified cartilage remodeling due to upward invasion by vascular canals or to calcified cartilage erosion may contribute to biomechanical alteration of the osteochondral tissue and its subchondral bone plate component. The study hypothesis was that hydraulic conductance of osteochondral tissue and subchondral bone plate increases with structural changes indicative of increasing stages of OA.Methods. Osteochondral cores were harvested from the knees of cadaveric tissue donors and from discarded fragments from patients with OA undergoing knee surgery. The osteochondral cores from tissue donors were macroscopically normal, and the cores from patients with OA had partial-thickness or full-thickness erosion to bone. The cores were perfusion-tested to determine the hydraulic conductance, or ease of fluid flow, in their native state and after enzymatic removal of cartilage. Adjacent portions were analyzed by 3-dimensional histology for calcified cartilage, subchondral bone, and subchondral bone plate thickness and vascular canal density.Results.

No abstract

Bacteria contain multiple sigma factors, each targeting diverse, but often overlapping sets of promoters, thereby forming a complex network. The layout and deployment of such a sigma factor network directly impacts global transcriptional regulation and ultimately dictates the phenotype. Here we integrate multi-omic data sets to determine the topology, the operational, and functional states of the sigma factor network in Geobacter sulfurreducens, revealing a unique network topology of interacting sigma factors. Analysis of the operational state of the sigma factor network shows a highly modular structure with s N being the major regulator of energy metabolism. Surprisingly, the functional state of the network during the two most divergent growth conditions is nearly static, with sigma factor binding profiles almost invariant to environmental stimuli. This first comprehensive elucidation of the interplay between different levels of the sigma factor network organization is fundamental to characterize transcriptional regulatory mechanisms in bacteria.