Laboratory criteria of the obstetrical antiphospholipid syndrome

2009 ◽  
Vol 102 (07) ◽  
pp. 25-28 ◽  
Author(s):  
Catherine Boinot ◽  
Sara De Carolis ◽  
Patrizia Rovere-Querini ◽  
Marie-Hélène Aurousseau ◽  
Flavio Allegri ◽  
...  
Keyword(s):  
Autoimmune Diseases ◽  
Pregnant Women ◽  
Antiphospholipid Syndrome ◽  
Prospective Studies ◽  
Anticardiolipin Antibodies ◽  
Low Level ◽  
Obstetrical Complications ◽  
Diagnosis And Classification

SummaryA debate on updating the laboratory criteria of antiphospholipid syndrome (APS) was recently opened in view to lower the risk of over diagnosis of the syndrome. Based on data related to thrombotic APS, it proposes the exclusion of anticardiolipin antibodies (aCL) and anti-beta2-glycoprotein 1 (a-β2-GPI) IgM detection. Here, we examine this possibility in a study which focuses on obstetrical APS (OAPS).We report new data on a prospective multicenter European cohort of 109 pregnant women having APS.Among them, 73 had purely obstetrical APS, not associated to autoimmune diseases or thrombosis. Isolated antibodies and isolated aCL positivity were present in 50/109 (46%) and in 34/109 (31%) of the women, respectively. An isolated a-β2-GPI IgM was present in three women.These results suggest that aCL and a-β2-GPI IgM cannot be dropped for the diagnosis and classification of OAPS.The low level of some antibodies associated with severe obstetrical complications raise the issue of keeping or not the same laboratory criteria for OAPS and for thrombotic APS and whether additional criteria after large prospective studies could further improve diagnosis.

Some Patients with Antiphospholipid Syndrome Express hitherto Undescribed Antibodies to Cardiolipin-binding Proteins

2001 ◽  
Vol 85 (01) ◽  
pp. 57-62 ◽  
Author(s):  
P. Rampazzo ◽  
A. Biasiolo ◽  
J. Garin ◽  
A. Rosato ◽  
C. Betterle ◽  
...  
Keyword(s):  
Autoimmune Diseases ◽  
Antiphospholipid Syndrome ◽  
Lupus Erythematosus ◽  
Binding Proteins ◽  
Anticardiolipin Antibodies ◽  
Factor H ◽  
Complement Factor H ◽  
Macromolecular Complex ◽  
Complement Factor ◽  
Close Relationship

SummaryContrary to infective anticardiolipin (aCL) antibodies, autoimmune aCL antibodies react with phospholipids (PL) mainly via binding to the plasma glycoprotein cofactor β2-Glycoprotein I (β2GPI). While there is a well-documented link between the risk of thrombosis and the presence of β2GPI-dependent anticardiolipin antibodies, the pathological impact of other antiphospholipid antibodies is less clear. By means of cardiolipin affinity-chromatography, we isolated and identified 3 CL-binding proteins, complement component C4, complement factor H and a kallikrein-sensitive glycoprotein, and tested for the presence of autoantibodies against these proteins in patients with antiphospholipid syndrome (APS), systemic lupus erythematosus (SLE) and other autoimmune diseases. High titers of autoantibodies to C4 as compared to age- and sex-matched healthy controls were present in 3 of 26 patients with APS, and weak titers were found in 2 of 26 patients with SLE and in none of 26 patients with other autoimmune diseases. Autoantibodies to complement factor H were found in 4 APS, 3 SLE and none of the other autoimmune patients. Autoantibodies to kallikrein-sensitive glycoprotein were detected in 6 APS patients, 1 SLE patient, and 1 patient with another autoimmune disease. A close relationship between these antibodies was found, suggesting their origin from a common macromolecular complex. However, no relationship with anti-β2GPI antibodies was found, with the three patients with higher levels of autoantibodies having a low titer of anti-β2GPI antibodies. In conclusion, some patients with APS harbor circulating antibodies to other CL-binding proteins which might be useful to further characterize these patients.

scholarly journals Clinical and Pathological Roles of Ro/SSA Autoantibody System

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Ryusuke Yoshimi ◽  
Atsuhisa Ueda ◽  
Keiko Ozato ◽  
Yoshiaki Ishigatsubo
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Autoimmune Diseases ◽  
Lupus Erythematosus ◽  
Clinical Importance ◽  
Systemic Lupus ◽  
Systemic Autoimmune Diseases ◽  
Nuclear Antigens ◽  
Diagnosis And Classification

Anti-Ro/SSA antibodies are among the most frequently detected autoantibodies against extractable nuclear antigens and have been associated with systemic lupus erythematosus (SLE) and Sjögren's syndrome (SS). Although the presence of these autoantibodies is one of the criteria for the diagnosis and classification of SS, they are also sometimes seen in other systemic autoimmune diseases. In the last few decades, the knowledge of the prevalence of anti-Ro/SSA antibodies in various autoimmune diseases and symptoms has been expanded, and the clinical importance of these antibodies is increasing. Nonetheless, the pathological role of the antibodies is still poorly understood. In this paper, we summarize the milestones of the anti-Ro/SSA autoantibody system and provide new insights into the association between the autoantibodies and the pathogenesis of autoimmune diseases.

scholarly journals AUTOIMMUNOLOGY: NEW BRANCH OF MEDICINE

2017 ◽  
Vol 19 (3) ◽  
pp. 3-14
Author(s):  
Leonid Pavlovich Churilov ◽  
Yehuda Shoenfeld
Keyword(s):  
Autoimmune Diseases ◽  
Current Data ◽  
State University ◽  
Serological Tests ◽  
Treatment And Prevention ◽  
Large Databases ◽  
Diagnosis And Classification ◽  
Predictive Role

The article written by the co-chairmen of the First St. Petersburg Congress on Autoimmunity "Bridge between East and West", held in St. Petersburg State University June 30-July 2, 2017 describes this event and gives an overview of the main lectures and discussions during the Congress. The latest data on the role of diet, adjuvants, vaccines, viruses and microbiome, on genetic factors, stress, smoking, lifestyle, drugs - in etiology, as well as the role of lymphocytes, macrophages, various autoantibodies, complement and cytokines - in the pathogenesis and diagnosis of autoimmune diseases were discussed. The congress discussed their comorbidity, ways of treatment and prevention, markers, methodology and contribution of serological tests in the diagnosis and classification of autoimmune diseases. Current data on physiological autoimmunity, as well as the early predictive role of autoantibodies were described. The participants performed philosophical discussions about immunological concepts, and organizational discussions of the standardization of diagnostics and the principles of working with large databases, as applied to this field. The programme included Clinical Pathophysiology все of various autoimmune rheumatologic, psycho-neurological, endocrine, cardiovascular, obstetric-gynecological and many other diseases. The authors conclude that the rapid formation of Autoimmunology as a new integral medical branch happens nowadays (9 figs, bibliography: 69 refs).

Diagnosis and classification of the antiphospholipid syndrome

2014 ◽  
Vol 48-49 ◽  
pp. 20-25 ◽  
Author(s):  
Jose A. Gómez-Puerta ◽  
Ricard Cervera
Keyword(s):  
Antiphospholipid Syndrome ◽  
Diagnosis And Classification

Antiprothrombin antibody: why do we need more assays?

Lupus ◽  
2010 ◽  
Vol 19 (4) ◽  
pp. 436-439 ◽  
Author(s):  
T. Atsumi ◽  
T. Koike
Keyword(s):  
Sensitivity And Specificity ◽  
Antiphospholipid Syndrome ◽  
Lupus Anticoagulant ◽  
Laboratory Tests ◽  
Diagnostic Value ◽  
Anticardiolipin Antibodies ◽  
Confirmatory Test ◽  
Enzyme Linked Immunosorbent Assay ◽  
Glycoprotein I

Anticardiolipin antibodies (aCL), anti-β2-glycoprotein I (β2GPI) antibodies and lupus anticoagulant (LA) are the only laboratory tests considered within the revised criteria for the classification of the antiphospholipid syndrome (APS). Recently, the significance to assay the antibodies against phosphatidylserine—prothrombin complex (aPS/PT) has been discussed, and these antibodies, rather than antibodies against prothrombin alone, are closely associated with APS and LA. The sensitivity and specificity of aPS/PT for the diagnosis of APS were assessed in a population of patients with a variety of autoimmune disorders. The aCL and aPS/PT have similar diagnostic value for APS, and most of APS patients with aPS/PT had positive LA. Therefore, aPS/PT should be further explored, not only for research purposes, but also as a candidate for one of the enzyme-linked immunosorbent assay (ELISA)-based confirmatory test for APS associated LA.

Classification of Low Level Jobs: A Research Scale

1969 ◽  
Author(s):  
Paul Ries ◽  
Edward Pomeroy
Keyword(s):  
Low Level

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

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