Detection of autoimmune antibodies in localized scleroderma by synthetic oligonucleotide antigens
نویسندگان
چکیده
منابع مشابه
Localized scleroderma is an autoimmune disorder.
OBJECTIVES There have been many studies suggesting that localized scleroderma has a strong autoimmune background, although the lesions are usually limited to the skin and subcutaneous tissue. Here we summarize previous data on the autoimmunity of localized scleroderma, mostly published in the last two decades, because there has not been a review paper summarizing autoimmunity in this disorder. ...
متن کاملAnti-phosphatidylserine-prothrombin complex antibodies in patients with localized scleroderma.
OBJECTIVE Although some antiphospholipid antibodies (Abs) are found in patients with localized scleroderma (LSc), Ab against phosphatidylserine-prothrombin complex (PS/PT) has not been examined. We investigated anti-PS/PT Ab levels in patients with LSc. METHODS IgG anti-PS/PT Ab levels in serum samples taken from patients with LSc (n = 42) were measured using ELISA. RESULTS IgG anti-PS/PT A...
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New techniques to detect and quantify antibodies to nucleic acids would provide a significant advance over current methods, which often lack specificity. We investigate the potential of novel antigens containing locked nucleic acids (LNAs) as targets for antibodies. Particularly, employing molecular dynamics we predict optimal nucleotide composition for targeting DNA-binding antibodies. As a pr...
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Morphea (localized scleroderma) is an autoimmune disease characterized by sclerosis of the skin and, in some cases, subcutaneous tissue. It occurs in children and adults. It is distinct from systemic sclerosis, but may nevertheless be associated with significant functional and cosmetic impairment. Morphea has several distinct subtypes, including circumscribed, linear, and generalized, all of wh...
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a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2018
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0195381