antigen profile
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Stroke ◽  
2021 ◽  
Author(s):  
Jacopo Burrello ◽  
Giovanni Bianco ◽  
Alessio Burrello ◽  
Concetta Manno ◽  
Francesco Maulucci ◽  
...  

Background and Purpose: Extracellular vesicles (EVs) are promising biomarkers for cerebral ischemic diseases, but not systematically tested in patients with transient ischemic attacks (TIAs). We aimed at (1) investigating the profile of EV-surface antigens in patients with symptoms suspicious for TIA; (2) developing and validating a predictive model for TIA diagnosis based on a specific EV-surface antigen profile. Methods: We analyzed 40 subjects with symptoms suspicious for TIA and 20 healthy controls from a training cohort. An independent cohort of 28 subjects served as external validation. Patients were stratified according to likelihood of having a real ischemic event using the Precise Diagnostic Score, defined as: unlikely (score 0–1), possible-probable (score 2–3), or very likely (score 4–8). Serum vesicles were quantified by nanoparticle tracking analysis and EV-surface antigen profile characterized by multiplex flow cytometry. Results: EV concentration increased in patients with very likely or possible-probable TIA ( P <0.05) compared with controls. Nanoparticle concentration was directly correlated with the Precise Diagnostic score ( R =0.712; P <0.001). After EV immuno-capturing, CD8, CD2, CD62P, melanoma-associated chondroitin sulfate proteoglycan, CD42a, CD44, CD326, CD142, CD31, and CD14 were identified as discriminants between groups. Receiver operating characteristic curve analysis confirmed a reliable diagnostic performance for each of these markers taken individually and for a compound marker derived from their linear combinations (area under the curve, 0.851). Finally, a random forest model combining the expression levels of selected markers achieved an accuracy of 96% and 78.9% for discriminating patients with a very likely TIA, in the training and external validation cohort, respectively. Conclusions: The EV-surface antigen profile appears to be different in patients with transient symptoms adjudicated to be very likely caused by brain ischemia compared with patients whose symptoms were less likely to due to brain ischemia. We propose an algorithm based on an EV-surface-antigen specific signature that might aid in the recognition of TIA.


Rheumatology ◽  
2020 ◽  
Vol 59 (8) ◽  
pp. 2109-2114 ◽  
Author(s):  
Sarah L Tansley ◽  
Danyang Li ◽  
Zoe E Betteridge ◽  
Neil J McHugh

Abstract Objectives In order to address the reliability of commercial assays to identify myositis-specific and -associated autoantibodies, we aimed to compare the results of two commercial immunoassays with the results obtained by protein immunoprecipitation. Methods Autoantibody status was determined using radio-labelled protein immunoprecipitation for patients referred to our laboratory for myositis autoantibody characterization. For each autoantibody of interest, the sera from 25 different patients were analysed by line blot (Euroline Myositis Antigen Profile 4, EuroImmun, Lübeck, Germany) and dot blot (D-Tek BlueDiver, Diagnostic Technology, Belrose, NSW, Australia). Sera from 134 adult healthy controls were analysed. Results Overall commercial assays performed reasonably well, with high agreement (Cohen’s κ &gt;0.8). Notable exceptions were the detection of rarer anti-synthetases with κ &lt; 0.2 and detection of anti-TIF1γ, where κ was 0.70 for the line blot and 0.31 for dot blot. Further analysis suggested that the proportion of patients with anti-TIF1γ may recognize a conformational epitope, limiting the ability of blotting-based assays that utilize denatured antigen to detect this clinically important autoantibody. A false-positive result occurred in 13.7% of samples analysed by line blot and 12.1% analysed by dot blot. Conclusion The assays analysed do not perform well for all myositis-specific and -associated autoantibodies and overall false positives are relatively common. It is crucial that clinicians are aware of the limitations of the methods used by their local laboratory. Results must be interpreted within the clinical context and immunoprecipitation should still be considered in selected cases, such as apparently autoantibody-negative patients where anti-synthetase syndrome is suspected.


2020 ◽  
Vol 18 (3) ◽  
pp. 59-64
Author(s):  
Fernando Manuel Ferreira Araújo ◽  
Christiana Pereira ◽  
Fátima Monteiro ◽  
Isabel Henriques ◽  
Elsa Meireles ◽  
...  

Transfusion ◽  
2018 ◽  
Vol 59 (2) ◽  
pp. 768-778 ◽  
Author(s):  
Elizna M. Schoeman ◽  
Eileen V. Roulis ◽  
Maree A. Perry ◽  
Robert L. Flower ◽  
Catherine A. Hyland

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206686 ◽  
Author(s):  
Zhijie Jiang ◽  
Caterina Cinti ◽  
Monia Taranta ◽  
Elisabetta Mattioli ◽  
Elisa Schena ◽  
...  
Keyword(s):  

2015 ◽  
Vol 35 (1) ◽  
pp. 14-19
Author(s):  
Nivaldo Vieira de Souza ◽  
Eduardo Soares Maia Vieira de Souza ◽  
Neifi Hassam Saloum Deghaide ◽  
Eduardo Antonio Donadi ◽  
Maria de Lourdes Veronese Rodrigues

2013 ◽  
Vol 94 (5) ◽  
pp. 764-765
Author(s):  
R G Turaev ◽  
E E Bel’skaya

A case of a patient with А 2В (IV) Rh 0(D) + blood group, CcDEeK - phenotype, in whom anti-erythrocyte antibodies (+) were found and specified as anti-D antibodies, is presented. The Rh compatibility tests were positive with 28% Rh 0(D) +-donors (incompatibility) and negative with all Rh 0(D) --donors (compatibility) as well as with own erythrocytes (compatibility). The case indicates that a timely extensive examination of a patient’s blood (antigen profile examination with anti-erythrocyte antibodies detection) before blood transfusion guarantees the blood transfusion safety and reduces the rate of negative consequences of erythrocyte-containing blood components, including hemolytic reactions.


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