79 research outputs found

    Robust EEG Based Biomarkers to Detect Alzheimer’s Disease

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    Biomarkers to detect Alzheimer’s disease (AD) would enable patients to gain access to appropriate services and may facilitate the development of new therapies. Given the large numbers of people affected by AD, there is a need for a low-cost, easy to use method to detect AD patients. Potentially, the electroencephalogram (EEG) can play a valuable role in this, but at present no single EEG biomarker is robust enough for use in practice. This study aims to provide a methodological framework for the development of robust EEG biomarkers to detect AD with a clinically acceptable performance by exploiting the combined strengths of key biomarkers. A large number of existing and novel EEG biomarkers associated with slowing of EEG, reduction in EEG complexity and decrease in EEG connectivity were investigated. Support vector machine and linear discriminate analysis methods were used to find the best combination of the EEG biomarkers to detect AD with significant performance. A total of 325,567 EEG biomarkers were investigated, and a panel of six biomarkers was identified and used to create a diagnostic model with high performance (≥85% for sensitivity and 100% for specificity).</jats:p

    Large vessel vasculitis

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    Takayasu arteritis is a chronic granulomatous disease of the aorta and its major branches that usually affects women during the second and third decades of life, but it has been reported in young children. This review details the clinical, pathological and radiological features, differential diagnoses and management of the condition, focusing chiefly on the disease in children. The recent definition of Takayasu arteritis is discussed. The condition should be considered in patients with unexplained arterial hypertension or unexplained inflammatory syndromes without signs of localization. Since the disease may be life-threatening and progressive, early recognition is necessary to initiate appropriate therapy. Patients with persistent ischaemic symptoms including hypertension might benefit from revascularization procedures

    A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

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    The number of biomarker candidates is often much larger than the number of clinical patient data points available, which motivates the use of a rational candidate variable filtering methodology. The goal of this paper is to apply such a bioinformatics filtering process to isolate a modest number (<10) of key interacting genes and their associated single nucleotide polymorphisms involved in radiation response, and to ultimately serve as a basis for using clinical datasets to identify new biomarkers. In step 1, we surveyed the literature on genetic and protein correlates to radiation response, in vivo or in vitro, across cellular, animal, and human studies. In step 2, we analyzed two publicly available microarray datasets and identified genes in which mRNA expression changed in response to radiation. Combining results from Step 1 and Step 2, we identified 20 genes that were common to all three sources. As a final step, a curated database of protein interactions was used to generate the most statistically reliable protein interaction network among any subset of the 20 genes resulting from Steps 1 and 2, resulting in identification of a small, tightly interacting network with 7 out of 20 input genes. We further ranked the genes in terms of likely importance, based on their location within the network using a graph-based scoring function. The resulting core interacting network provides an attractive set of genes likely to be important to radiation response

    Structural and functional insights into oligopeptide acquisition by the RagAB transporter from Porphyromonas gingivalis

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    Porphyromonas gingivalis, an asaccharolytic member of the Bacteroidetes, is a keystone pathogen in human periodontitis that may also contribute to the development of other chronic inflammatory diseases. P. gingivalis utilizes protease-generated peptides derived from extracellular proteins for growth, but how these peptides enter the cell is not clear. Here, we identify RagAB as the outer-membrane importer for these peptides. X-ray crystal structures show that the transporter forms a dimeric RagA2B2 complex, with the RagB substrate-binding surface-anchored lipoprotein forming a closed lid on the RagA TonB-dependent transporter. Cryo-electron microscopy structures reveal the opening of the RagB lid and thus provide direct evidence for a ‘pedal bin’ mechanism of nutrient uptake. Together with mutagenesis, peptide-binding studies and RagAB peptidomics, our work identifies RagAB as a dynamic, selective outer-membrane oligopeptide-acquisition machine that is essential for the efficient utilization of proteinaceous nutrients by P. gingivalis

    Prevalence of geohelminth in soil and primary school children in Panda Development Area, Karu Local Government Area, Nasarawa State, Nigeria

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    A study of geohelminthes infections among primary school children aged 8 to 13 years was conducted in four selected primary schools in Panda Development Area, Karu LGA, Nasarawa State, Nigeria. Out of four hundred and eighty (480) soil samples collected from the four schools, 314 (82.63) were found to be positive for eggs of four species of geohelminthes. The geohelminthes eggs/larvae encountered during the study include; Ascaris lumbricoides with 128 (26.67%), hookworm 84 (17.50%), Strongyloides  stercoralis 63 (13.13%), and Trichuris trichiura 39 (8.13%).The highest prevalence of geohelminth eggs in soil samples was recorded in Panda Primary School 100 (83.33%), followed by Gitata Primary School with 97 (80.83%), while the least prevalence rate was recorded in Tattara Primary School with infection rate of 39 (32.50%). There was a significant difference in the distribution of geohelminthes in the  study-areas (p&lt;0.05).However, out of the total of 480 stool samples analyzed, 260 (54.17%) obtained  from males and 220 (45.83%) from females, 322 of the children were positive for one or more helminthes infections. The overall prevalence recorded was 67.08%. The study revealed the presence of only four  geohelminthes in the infected stool samples analyzed; these include A. lumbricoides 127 (26.46%),  Hookworm 108 (22.50), S. stercoralis 46 (9.58%) and T. trichiura 41 (8.54%). With respect to  age-group, children under 5-7 years had the highest rate of infection with 149 (78.42%), while the least infection rate was recorded among 11-13 age-group with 66 (55.0%). Males had the highest infection rate of 167 (64.33%) while 155 (70.45) was recorded in females (p&gt;0.05).The study concludes that provision of modern toilet facilities, school based health programme and regular early deworming of pupils will go a long way in reducing infection.Keywords: geohelminthes infection, primary school, parasites, children, Panda
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