Extended Antiphospholipid Antibodies Screening in Systemic Lupus Erythematosus Patients

BACKGROUND

The antiphospholipid syndrome (APS) is one of the most encountered autoimmunity in systemic lupus erythematosus (SLE) patients and pathogenesis of these two seems to be intricate.

AIM

To investigate the association of antiphospholipid antibodies (APLAs) titer with the presence of secondary APS diagnosis in SLE patients.

METHODS

65 patients fulfilling the 2012 Systemic Lupus Collaborating International Clinics (SLICC) SLE's criteria were included. The APS diagnosis was sustained according to the 2006 Sydney APS's criteria. Three groups of patients were defined: SLE patients with secondary APS, SLE with history of positive "criteria" APLAs but without APS clinical features, respectively SLE patients without positive APLAs or clinical APS criteria. An extended APLAs panel was searched in all cases: both IgM and IgG of anticardiolipin antibodies (aCL), anti-P2 glycoprotein I antibodies (aβ2GPI), antiphosphatidylethanolamine antibodies (aPE), antiphosphatidylserine antibodies (aPS), respectively antiprothrombin antibodies (aPT). Results. Only the aβ2GPI, both IgM and IgG serotypes, had significantly higher titers in patients with SLE and secondary APS compared to no APS (with/ without positive APLAs): median (min; max) 7.0 (0.0-300.0) vs. 1.0 (0.0-28.0) vs. 1.0 (0.0-12.0), respectively 3.0 (0.0-79.0) vs. 1.0 (0.0-3.0) vs. 1.0 (0.0-12.0) (p<0.001, Kruskal-Wallis test)]. Also, in regression logistic models, only the aβ2 GPI (IgG and IgM ) were identified as risk factors for secondary APS diagnosis in the SLE patients: OR(95%CI) 5.9 (2.2-15.7), respectively 1.3 (1.1-1.5). In regard with the SLE markers, the IgG serotypes of the "non-criteria" APLAs analyzed (aPS, aPT, aPE) were correlated with the antiDNA titers while the IgM serotypes inversely associated with the complement C3 levels.

CONCLUSIONS

IgG aβ2 GPI are accompanied by almost 6-fold increase risk of secondary APS when screening SLE patients. On the contrary, the "non-criteria" APLAs do not seem associated with the APS diagnosis in SLE patients. Some correlates of the "non-criteria" APLAs with the antiDNA and complement C3 levels were also observed.

Socio-economical factors that influence the perception of quality of life in patients with osteoporosis

The appearance of osteoporosis in elders and the growth of the frequency which it is diagnosed with as we approach patients who are older and older, makes this health problem very important in the societies in which a high number of persons reach old age. These societies, usually belonging to economically advanced jurisdictions, are the first interested in the way health expenses can balance the benefits of the quality of life acquired in these groups of population. The evaluation of the quality of life has become a very important process, which still raises methodological problems to the researchers. The aim of this study was to analyze to what extent the factors involved in defining the quality of life by the patients modified according to the existence of osteoporosis as a defined but also as a perceived disease, as far as it is considered a serious or less serious affection by each patient. 210 female patients participated in the study. The statistical analysis was done by using SPSS 22.0 (IBM Corp. - U.S.A.). p < 0,05 was used as a limit for the statistical significance. Descriptive and analytical analyses were made by following Pearson correlation index in cases of normal distributions, the comparison between groups was made by using t-Student test, respectively chi square test in the cases which required its use. The current study highlights a direct relationship between the quality of life, as it is perceived by the patients, and the quality of the health status, which is more important than the relationship between the quality of life and the other objectives measured by WHOQOL scale. This study also shows that for the Romanian patient diagnosed with osteoporosis, who is enclosed in the age limits of this study, the health status represents the main driver of monitoring the quality of life.

Challenges in representation learning: a report on three machine learning contests

The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.

Assessment of ovarian cancer conditions from exhaled breath

We present a pilot study that aims to examine the possibility to easily and noninvasively detect and discriminate females with ovarian cancer (OC) from females that have no tumor(s) and from females that have benign genital tract neoplasia, using exhaled breath samples. The study is based on clinical samples and data from 182 females, as follows: 48 females with OC, 48 tumor-free controls and 86 females with benign gynecological neoplasia. Analysis of the breath samples with gas chromatography linked with mass spectrometry shows that decanal, nonanal, styrene, 2-butanone and hexadecane could serve as potential volatile markers for OC. Analysis of the same samples with tailor-made nanoarrays shows good discrimination between females with OC and females that have either no tumor or benign genital tract neoplasia (71% for accuracy, sensitivity and specificity). Conversely, the nanoarray output shows excellent discrimination between the OC patients and the tumor-free controls (79% sensitivity, 100% specificity and 89% accuracy). These results suggest that the nanoarray approach might be useful to avoid unnecessary complicated or expensive tests for tumor-free females in case of a negative result. In the case of positive result, the test will indicate with high probability the presence of OC.