Annual Contractor's Conference of the Artificial Kidney Program of the National Institute of Arthritis, Metabolism, and Digestive Diseases; proceedings

Mode of access: Internet.

Leçons théoriques et cliniques sur la scrofule : considérée en elle-même et dans ses rapports avec la syphilis, la dartre et l'arthritis.

Mode of access: Internet.

A case of erosive osteo-arthritis in a calf.

Reprinted from: Cornell veterinarian, 1915, v. 5, p. 90-96.

Illinois arthritis data report : the burden of arthritis in Illinois in 2002 /

Updates the previous Data report which provided the burden of arthritis in Illinois during 2000. This report represents an analysis of arthritis-related data gathered primarily from the Illinois Dept. of Public Health's Behavioral Risk Factor Surveillance System (BRFSS) for 2002.

Illinois arthritis data report, 2002.

"P.O. #353349"--Colophon.

Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing

Thesis (Ph.D.)--University of Washington, 2016-08

Sleep Patterns and Parents’ Experience in Caring for Young Children Newly Diagnosed with Juvenile Idiopathic Arthritis

Thesis (Ph.D.)--University of Washington, 2016-05

Principles and clinical application of assessing alterations in renal elimination pathways

Drugs and metabolites are eliminated from the body by metabolism and excretion. The kidney makes the major contribution to excretion of unchanged drug and also to excretion of metabolites. Net renal excretion is a combination of three processes - glomerular filtration, tubular secretion and tubular reabsorption. Renal function has traditionally been determined by measuring plasma creatinine and estimating creatinine clearance. However, estimated creatinine clearance measures only glomerular filtration with a small contribution from active secretion. There is accumulating evidence of poor correlation between estimated creatinine clearance and renal drug clearance in different clinical settings, challenging the 'intact nephron hypothesis' and suggesting that renal drug handling pathways may not decline in parallel. Furthermore, it is evident that renal drug handling is altered to a clinically significant extent in a number of disease states, necessitating dosage adjustment not just based on filtration. These observations suggest that a re-evaluation of markers of renal function is required. Methods that measure all renal handling pathways would allow informed dosage individualisation using an understanding of renal excretion pathways and patient characteristics. Methodologies have been described to determine individually each of the renal elimination pathways. However, their simultaneous assessment has only recently been investigated. A cocktail of markers to measure simultaneously the individual renal handling pathways have now been developed, and evaluated in healthy volunteers. This review outlines the different renal elimination pathways and the possible markers that can be used for their measurement. Diseases and other physiological conditions causing altered renal drug elimination are presented, and the potential application of a cocktail of markers for the simultaneous measurement of drug handling is evaluated. Further investigation of the effects of disease processes on renal drug handling should include people with HIV infection, transplant recipients (renal and liver) and people with rheumatoid arthritis. Furthermore, changes in renal function in the elderly, the effect of sex on renal function, assessment of living kidney donors prior to transplantation and the investigation of renal drug interactions would also be potential applications. Once renal drug handling pathways are characterised in a patient population, the implications for accurate dosage individualisation can be assessed. The simultaneous measurement of renal function elimination pathways of drugs and metabolites has the potential to assist in understanding how renal function changes with different disease states or physiological conditions. In addition, it will further our understanding of fundamental aspects of the renal elimination of drugs.

Prevalence of systemic diseases in Brisbane general and periodontal practice patients

Background: Periodontitis has been associated with a number of systemic diseases such as atherosclerosis, coronary heart diseases, and respiratory diseases. This study aimed to determine whether there is a significant difference in the prevalence of systemic diseases (a) in patients referred for periodontal care compared to the general practice population, (b) in patients attending a public hospital and private practices, (c) in patients attending public and private periodontal practices, and (d) among patients with periodontitis of varying severity. Methods: Charts of 1000 adult patients were selected from four clinics (University of Queensland (UQ) School of Dentistry Admissions Clinic, UQ School of Dentistry Periodontics Clinic, Private Periodontal Practice, and Private General Dental Practice). The prevalence of medical conditions was evaluated using validated self-reported health questionnaires. The periodontal condition was assessed from the most recent relevant radiographs in the files. Results: Periodontal patients had a higher prevalence of systemic diseases compared to the general practice population. Public patients had a greater prevalence of systemic diseases compared to patients in private practice for both general practice and periodontal patients. In patients with advanced periodontitis, bronchitis, hepatitis and rheumatoid arthritis were most prevalent. Patients with periodontitis also took more medications and were more likely to suffer from multiple conditions compared to the general dental population. Conclusions: Patients attending public dental facilities have an increased prevalence of systemic disease compared to those attending private practices. Furthermore periodontal patients have a greater prevalence of disease compared to general practice patients. Patients with moderate or advanced periodontitis show an increase in the prevalence of some systemic diseases previously reported to be risk factors for periodontal disease.

Rapid determination of the active leflunomide metabolite A77 1726 in human plasma by high-performance liquid chromatography

A simple method for the measurement of the active leflunomide metabolite A77 1726 in human plasma by HPLC is presented. The sample workup was simple, using acetonitrile for protein precipitation. Chromatographic separation of A77 1726 and the internal standard, alpha-phenylcinnamic acid, was achieved using a C-18 column with UV detection at 305 nm. The assay displayed reproducible linearity for A77 1726 with determination coefficients (r(2)) > 0.997 over the concentration range 0.5-60.0 mug/ml. The reproducibility (%CV) for intra- and inter-day assays of spiked controls was

T cells signaled by NF-kappa B- dendritic cells are sensitized not anergic to subsequent activation

Paradoxically, while peripheral self-tolerance exists for constitutively presented somatic self Ag, self-peptide recognized in the context of MHC class II has been shown to sensitize T cells for subsequent activation. We have shown that MHC class II(+)CD86(+)CD40(-) DC, which can be generated from bone marrow in the presence of an NF-kappaB inhibitor, and which constitutively populate peripheral tissues and lymphoid organs in naive animals, can induce Ag-specific tolerance. In this study, we show that CD40(-) human monocyte-derived dendritic cells (DC), generated in the presence of an NF-kappaB inhibitor, signal phosphorylation of TCRzeta, but little proliferation or IFN-gamma in vitro. Proliferation is arrested in the G(1)/G(0) phase of the cell cycle. Surprisingly, responding T cells are neither anergic nor regulatory, but are sensitized for subsequent IFN-gamma production. The data indicate that signaling through NF-kappaB determines the capacity of DC to stimulate T cell proliferation. Functionally, NF-kappaB(-)CD40(-)class II+ DC may either tolerize or sensitize T cells. Thus, while CD40(-) DC appear to prime or prepare T cells, the data imply that signals derived from other cells drive the generation either of Ag-specific regulatory or effector cells in vivo.

Detection of differentially expressed genes in synovial fibroblasts by restriction fragment differential display

Objective. To identify differentially expressed genes in synovial fibroblasts and examine the effect on gene expression of exposure to TNF-alpha and IL-1beta. Methods. Restriction fragment differential display was used to isolate genes using degenerate primers complementary to the lysophosphatidic acid acyl transferase gene family. Differential gene expression was confirmed by reverse transcription-polymerase chain reaction and immunohistochemistry using a variety of synovial fibroblasts, including cells from patients with osteoarthritis and self-limiting parvovirus arthritis. Results. Irrespective of disease process, synovial fibroblasts constitutively produced higher levels of IL-6 and monocyte chemoattractant protein 1 (MCP-1) (CCL2) than skin fibroblasts. Seven genes were differentially expressed in synovial fibroblasts compared with skin fibroblasts. Of these genes, four [tissue factor pathway inhibitor 2 (TFPI2), growth regulatory oncogene beta (GRObeta), manganese superoxide dismutase (MnSOD) and granulocyte chemotactic protein 2 (GCP-2)] were all found to be constitutively overexpressed in synoviocytes derived from patients with osteoarthritis. These four genes were only weakly expressed in other synovial fibroblasts (rheumatoid and self-limiting parvovirus infection). However, expression in all types of fibroblasts was increased after stimulation with TNF-alpha and IL-1beta. Three other genes (aggrecan, biglycan and caldesmon) were expressed at higher levels in all types of synovial fibroblasts compared with skin fibroblasts even after stimulation with TNF-alpha and IL-1. Conclusions. Seven genes have been identified with differential expression patterns in terms of disease process (osteoarthritis vs rheumatoid arthritis), state of activation (resting vs cytokine activation) and anatomical location (synovium vs skin). Four of these genes, TFPI2, GRObeta (CXCL2), MnSOD and GCP-2 (CXCL6), were selectively overexpressed in osteoarthritis fibroblasts rather than rheumatoid fibroblasts. While these differences may represent differential behaviour of synovial fibroblasts in in vitro culture, these observations suggest that TFPI2, GRObeta (CXCL2), MnSOD and GCP-2 (CXCL6) may represent new targets for treatments specifically tailored to osteoarthritis.

The effectiveness of hylan G-F 20 in patients with knee osteoarthritis: an application of two sets of response criteria developed by the OARSI and one set developed by OMERACT-OARSI

Objective: Secondary analyses of a previously conducted 1-year randomized controlled trial were performed to assess the application of responder criteria in patients with knee osteoarthritis (OA) using different sets of responder criteria developed by the Osteoarthritis Research Society International (OARSI) (Propositions A and B) for intra-articular drugs and Outcome Measures in Arthritis Clinical Trials (OMERACT)-OARSI (Proposition D). Methods: Two hundred fifty-five patients with knee OA were randomized to appropriate care with hylan G-F 20 (AC + H) or appropriate care without hylan G-F 20 (AC). A patient was defined as a responder at month 12 based on change in Western Ontario and McMaster Universities Osteoarthritis Index pain and function (0-100 normalized scale) and patient global assessment of OA in the study knee (at least one-category improvement in very poor, poor, fair, good and very good). All propositions incorporate both minimum relative and absolute changes. Results: Results demonstrated that statistically significant differences in responders between treatment groups, in favor of hylan G-F 20, were detected for Proposition A (AC + H = 53.5%, AC = 25.2%), Proposition B (AC + H = 56.7%, AC = 32.3%) and Proposition D (AC + H = 66.9%, AC = 42.5%). The highest effectiveness in both treatment groups was observed with Proposition D, whereas Proposition A resulted in the lowest effectiveness in both treatment groups. The treatment group differences always exceeded the required 20% minimum clinically important difference between groups established a priori, and were 28.3%, 24.4% and 24.4% for Propositions A, B and D, respectively. Conclusion: This analysis provides evidence for the capacity of OARSI and OMERACT-OARSI responder criteria to detect clinically important statistically detectable differences between treatment groups. (C) 2004 OsteoArthritis Research Society International. Published by Elsevier Ltd. All rights reserved.