Objective To evaluate the diagnostic value of anti-nucleosome antibody (AnuA) in patients with systemic lupus erythematosus (SLE). Methods We searched MEDLINE, EMbase and The Cochrane Library to identify studies on the diagnostic value of AnuA in patients with SLE. The searching time was from 1990 to 2005. The quality of included studies was evaluated and the data were extracted. The Cochrane Collaboration’s RevMan software was used to analyze heterogeneity, and MetaDisc was used to perform meta-analyses and draw summary receiver operator characteristic curve (SROC). Results Twenty-five studies involving 7 289 patients (2 459 SLE and 5 030 non-SLE patients were diagnosed by gold standard) were included, most of which were poor in quality. The heterogeneity among studies was high (Plt;0.000 01, I2=87.2%). The pooled sensitivity was 64.9%, 95% CI 63.0 to 66.85, and the pooled specificity was 92.6%, 95% CI 91.8% to 93.3%. Area under the SROC was 0.918, SE0.0212. These data suggested that AnuA had a relatively high false negative rate (35.1%) and a relatively low false positive rate (7.4%). Conclusions AnuA has some value in diagnosing SLE and could possibly be used as one of the diagnostic tests for SLE.
In this article, based on z-curve theory and position weight matrix (PWM), a model for nucleosome sequences was constructed. Nucleosome sequence dataset was transformed into three-dimensional coordinates, PWM of the nucleosome sequences was calculated and the similarity score was obtained. After integrating them, a nucleosome feature model based on the comprehensive DNA sequences was obtained and named CSeqFM. We calculated the Euclidean distance between nucleosome sequence candidates or linker sequences and CSeqFM model as the feature dataset, and put the feature datasets into the support vector machine (SVM) for training and testing by ten-fold cross-validation. The results showed that the sensitivity, specificity, accuracy and Matthews correlation coefficient (MCC) of identifying nucleosome positioning for S. cerevisiae were 97.1%, 96.9%, 94.2% and 0.89, respectively, and the area under the receiver operating characteristic curve (AUC) was 0.980 1. Compared with another z-curve method, it was found that our method had better identifying effect and each evaluation performance showed better superiority. CSeqFM method was applied to identify nucleosome positioning for other three species, including C. elegans, H. sapiens and D. melanogaster. The results showed that AUCs of the three species were all higher than 0.90, and CSeqFM method also showed better stability and effectiveness compared with iNuc-STNC and iNuc-PseKNC methods, which is further demonstrated that CSeqFM method has strong reliability and good identification performance.
ObjectiveTo summarize the significance of nucleosome and its omics in the occurrence, development, screening, treatment, and prognosis of colorectal cancer.MethodThis article reviewed and analyzed the literatures about significance of nucleosome in diagnosis and treatment of colorectal cancer in recent years.ResultsThe changes of circulating nucleosome and its omics in patients with colorectal cancer were more significant than those in normal persons, and these changes were closely related to the occurrence and development of colorectal cancer, as well as early screening, evaluation of therapeutic effect, and prognosis. The present study found this association only and failed to elucidate its specific mechanism.ConclusionsNucleosome and its omics may have clinical value in the screening, treatment, and prognosis evaluation of colorectal cancer. Compared with other serum markers, nucleosome has some advantages in the early screening of colorectal cancer.