This paper makes a systematic study on disambiguating sentiment ambiguous adjectives within context in real text, which is an interaction between word sense disambiguation and sentiment analysis. We firstly address the issue of inter-annotator agreement on assigning semantic orientations to word occurrences in real text. Secondly we demonstrate that co-occurring sentiment monosemous adjectives can not effectively disambiguate sentiment ambiguous adjectives. Then collocation-based disambiguation and support vector machine (SVM) algorithm are exploited on the task of disambiguation. We present a new approach of combining collocation information and SVM to disambiguate sentiment ambiguous words. The experimental results show that the combining approach of Coll+SVM outperforms both collocation-based method and SVM algorithm.
Autoantibody against glomerular basement membrane (GBM) plays a direct role in the initiation and development of Goodpasture’s (GP) disease. The principal autoantigen is the non-collagenous domain 1 (NC1) of α3 chain of collagen IV, with two immunodominant epitopes, EA-α3 and EB-α3. We recently demonstrated that antibodies targeting α5NC1 are bound to kidneys in GP patients, suggesting their pathogenic relevance. In the present study, we sought to assess the pathogenicity of the α5 autoantibody with clinical and animal studies. Herein, we present a special case of GP disease with circulating autoantibody reactive exclusively to the α5NC1 domain. This autoantibody reacted with conformational epitopes within GBM collagen IV hexamer and produced a linear IgG staining on frozen sections of human kidney. The antibody binds to the two regions within α5NC1 domain, EA and EB, and inhibition ELISA indicates that they are targeted by distinct sub-populations of autoantibodies. Sequence analysis highlights five residues that determine specificity of antibody targeting EA and EB epitopes of α5NC1 over homologous regions in α3NC1. Furthermore, immunization with recombinant α5NC1 domain induced crescentic glomerulonephritis and alveolar hemorrhage in Wistar-Kyoto rats. Thus, patient data and animal studies together reveal the pathogenicity of α5 antibodies. Given previously documented cases of GP disease with antibodies selectively targeting α3NC1 domain, our data presents a conundrum of why α3-specific antibodies developing in majority of GP patients, with α5-specific antibodies emerged in isolated cases, the answer for which is critical for understanding of etiology and progression of the GP disease.
Background: Anti-phospholipase A2 receptor (PLA2R) antibodies are specific to the diagnosis of primary membranous nephropathy (pMN). The prevalence of positive antibodies varies among different cohorts. Still there is discrepancy in regard to the association between antibody levels and clinical courses, and the prognostic value of antibodies to treatment responses and kidney outcomes. Methods: Three hundred fifty-nine consecutive kidney biopsy-proven pMN patients were enrolled. Anti-PLA2R antibodies were detected by immunofluorescence assay (IFA) and enzyme-linked immunosorbent assay (ELISA). Results: The positive rate of anti-PLA2R antibodies in pMN was 65.2% (234/359) by IFA and 56.3% (202/359) by ELISA. The antibody level presented positive correlation with urinary protein excretion (r = 0.164, p = 0.002). Detectable antibodies and a higher level of proteinuria were independent risk factors to no-remission after treatments (OR 3.15, p = 0.004; OR 1.11, p = 0.006) and were independent risk factors to no-spontaneous remission (OR 2.20, p = 0.011; OR 1.36, p < 0.001). A higher level of antibodies (hazard ratio 1.002, p = 0.019) was the independent risk factor to kidney dysfunction during follow-up. The antibodies turned negative in 42 out of 52 (80.8%) patients who achieved clinical remission, while they remained positive in all patients of the no-response category (p < 0.001). Conclusion: We documented correlations between anti-PLA2R antibody levels and clinical severity in this large Chinese pMN cohort. Antibody positivity and higher antibody level might predict treatment responses and kidney outcomes of pMN.
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