scholarly journals Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206686 ◽  
Author(s):  
Zhijie Jiang ◽  
Caterina Cinti ◽  
Monia Taranta ◽  
Elisabetta Mattioli ◽  
Elisa Schena ◽  
...  
Keyword(s):  
2000 ◽  
Vol 7 (4) ◽  
pp. 662-668 ◽  
Author(s):  
K. M. Samanich ◽  
M. A. Keen ◽  
V. D. Vissa ◽  
J. D. Harder ◽  
J. S. Spencer ◽  
...  

ABSTRACT Our studies of the humoral responses of tuberculosis (TB) patients have defined the repertoire of culture filtrate antigens ofMycobacterium tuberculosis that are recognized by antibodies from cavitary and noncavitary TB patients and demonstrated that the profile of antigens recognized changes with disease progression (K. Samanich et al., J. Infect. Dis. 178:1534–1538, 1998). We have identified several antigens with strong serodiagnostic potential. In the present study we have evaluated the reactivity of cohorts of human immunodeficiency virus (HIV)-negative, smear-positive; HIV-negative, smear-negative; and HIV-infected TB patients, with three of the candidate antigens, an 88-kDa protein, antigen (Ag) 85C, and MPT32, and compared the reactivity of the same patient cohort with the 38-kDa antigen and Ag 85A. We have also compared the reactivity of native Ag 85C and MPT32 with their recombinant counterparts. The evaluation of the reactivity was done by a modified enzyme-linked immunosorbent assay described earlier (S. Laal et al., Clin. Diag. Lab. Immunol. 4:49–56, 1997), in which all sera are preadsorbed againstEscherichia coli lysates to reduce the levels of cross-reactive antibodies. Our results demonstrate that (i) antigens identified on the basis of their reactivity with TB patients' sera provide high sensitivities for serodiagnosis, (ii) recombinant Ag 85C and MPT32, expressed in E. coli, show reduced reactivity with human TB sera, and (iii) of the panel of antigens tested, the 88-kDa protein is the most promising candidate for serodiagnosis of TB in HIV-infected individuals. Moreover, these results reaffirm that both the extent of the disease and the bacterial load may play a role in determining the antigen profile recognized by antibodies.


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

2009 ◽  
Vol 53 (9) ◽  
pp. 512-523 ◽  
Author(s):  
Xia Huang ◽  
Hua Ling ◽  
Liangui Feng ◽  
Xianbin Ding ◽  
Quanhua Zhou ◽  
...  

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.


2008 ◽  
Vol 21 (5) ◽  
pp. 380-384 ◽  
Author(s):  
S. P. N. Singh ◽  
N. K. Mehra ◽  
H. B. Dingley ◽  
J. N. Pande ◽  
M. C. Vaidya

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.


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