Ecological University of Bucharest

Previously, we described how patients with new-onset Alzheimer’s disease were differentiated from healthy, normal subjects to 100% accuracy, based on the amplitudes of the nonrhythmic back-projected independent components of the P300 peak at the electroencephalogram electrodes and their latency in the response to an oddball, auditory evoked potential paradigm. A neural network and a voting strategy were used for classification. Here, we consider instead the statistical distribution functions of their latencies and amplitudes and suggest that the 2-sample Kolmogorov-Smirnov test based upon their latency distribution functions offers an alternative biomarker for AD, with their amplitude distribution at the frontal electrode fp2 as possibly another. The technique is general, relatively simple, and noninvasive and might be applied for presymptomatic detection, although further validation with more subjects, preferably in multicenter studies, is recommended. It may also be applicable to study the other P300 peaks and their associated interpretations.

Previous work has suggested that evoked potential analysis might allow the detection of subjects with new-onset Alzheimer’s disease, which would be useful clinically and personally. Here, it is described how subjects with new-onset Alzheimer’s disease have been differentiated from healthy, normal subjects to 100% accuracy, based on the back-projected independent components (BICs) of the P300 peak at the electroencephalogram electrodes in the response to an oddball, auditory-evoked potential paradigm. After artifact removal, clustering, selection, and normalization processes, the BICs were classified using a neural network, a Bayes classifier, and a voting strategy. The technique is general and might be applied for presymptomatic detection and to other conditions and evoked potentials, although further validation with more subjects, preferably in multicenter studies is recommended.

Oxidative stress, inflammation and insulin resistance are the principal culprits in childhood obesity. Immune modifications are also important in the development of the obesity complications.The aim of this study is to find the relations for some immunity parameters with markers for oxidative stress and inflammation. Sixty obese children (10-16 years old) and thirty age and sex matched lean children were involved. The activities for erythrocyte superoxid dismutase (SOD), for erythrocyte glutathione peroxidase (GPx) and serum thioredoxin level were measured by ELISA, as oxidative stress markers. Circulating immune complexes (CIC), complement fractions C3, C4 and the self-antibodies, antismooth muscle antibodies (ASMA), antiliver-kidney microsome antibodies (LKM1) were measured by ELISA methods. Ceruloplasmin, haptoglobin and C reactive protein (CRP) were measured as inflammatory markers by immunoturbidimetric methods. ceruloplasmin (p<0.001), haptoglobin (p<0.001), CRP (p<0.05) and activity for SOD (p<0.001) were measured, while thioredoxin concentration (p<0.04) was reduced. The antibodies LKM1 and ASMA and GPx activity were not modified between groups. Positive correlations (for p<0.05) were calculated between SOD activity and LKM1 (r=0.37), GPx activity and ASMA (r=0.27), haptoglobin and C3 (r=0.33), ceruloplasmin and CIC (r=0.41), CRP and C3 (p<0.27) and negative correlations were calculated for C4 both with GPx activity (r= -0.28) and with thioredoxin level (r= -0.27). In the obese children versus the lean ones, higher levels for C3 (p<0.001), C4(p<0.001), CIC (p<0.05), In conclusion, this study demonstrates that immune modifications, inflammation and oxidative stress are related and they act in cluster in childhood obesity.