17 research outputs found

    Cartilage oligomeric matrix protein (COMP)-induced arthritis in rats

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    In rheumatoid arthritis peripheral cartilaginous joints are inflamed and eroded. One driving factor may be an immune response towards proteins in the cartilage. Here it is shown that cartilage oligomeric matrix protein (COMP), expressed specifically in cartilage, is arthritogenic in the rat. Both native and denatured rat COMP induced severe arthritis in selected rat strains. The arthritis occurred only in peripheral joints which were attacked by an erosive inflammatory process similar to that seen in the human disease. The disease was self-limited and no permanent destruction of joints was seen macroscopically. Disease development appeared to be dependent on an immune response to autologous (rat) COMP and not on cross-reactivity to other cartilage rat collagens (types II, IX and XI). The disease and the immune response to COMP were genetically controlled by the MHC; the RT1u and RT1l haplotypes were more susceptible than the a, c, d, f and n haplotypes. Both LEW and E3 gene backgrounds were highly permissive for disease induction. These findings suggest that the induction of arthritis with rat COMP represents a unique pathogenesis which is controlled by different genes compared with collagen-induced arthritis or adjuvant-induced arthritis

    Accuracy of Fine Needle Cytology in Histological Prediction of Papillary Thyroid Carcinoma Variants: a Prospective Study

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    Fine needle cytology (FNC) is a crucial procedure in the preoperative diagnosis of thyroid tumors. Papillary thyroid carcinoma (PTC), in its classic variant (cPTC), is the most common malignant neoplasm of the thyroid. Several histological variants of PTC have been described, each one with its own characteristics and prognosis. The ability of FNC to identify the variants represents a challenge even for a skilled pathologist. The aim of this study was to evaluate the diagnostic cytological accuracy of FNC in PTC and to look for specific features that could predict the different variants. This was a single center prospective study on 128 patients who received a diagnosis of PTC on FNC. The smears were blindly reviewed by two cytopathologists to create a frequency score (0, 1, 2, 3) of the features for each variant. The cytological parameters were divided into three groups: architectural, nucleo-cytoplasmic, and background features. Univariate analysis was performed by chi-square test with Yates correction and Fisher exact test as appropriate. Multiple regression analysis was performed among the variables correlated at the linear correlation. The correlation study between cytology and histology showed an accuracy of FNC in classic, follicular, and oncocytic PTC variants of 63.5, 87.5, and 87% respectively. Familiarity with cytological features may allow an early diagnosis of a given PTC variant on FNC samples. This is fundamental in a preoperative evaluation for the best surgical approach and subsequent treatment
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