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Diabetic kidney disease is a significant complication of type 2 diabetes mellitus and has a significant impact on quality of life and patient survival, both due to progression towards endstage kidney disease and associated atherosclerosis. Identification of the risk factors, especially in incipient kidney disease, is an important focus of research. The aim of our study was to rank the risk factors...
Objective: To study the expression of angiopoietin-1 (Ang-1), angiopoietin-2 (Ang-2) and the angiopoietin receptor (Tie-2) in colorectal cancer tissue, and analyze the correlation between their expression levels in colorectal cancer tissue and the histological differentiation of colorectal cancer; and to discuss their roles in the progression of colorectal cancer to provide new targets for the clinical...
Non-contact, non-invasive monitoring of hemodynamic parameters has long been deemed to be important to medical monitoring in a variety of environments. Radio Frequency Impedance Interrogation (RFII) measures hemodynamic function via resonance frequency coupling to a hydrophilic protein molecule. We examined the use of RFII for hemodynamic monitoring of human subjects during Lower Body Negative Pressure...
In extraction of information from the biomedical literature, name disambiguation of domain-specific entities, such as proteins, is one of the most important issues. The entity ambiguity with the highest dimension is the species to which an entity is associated with. Furthermore, one of the bottlenecks in inter-species gene name normalization is species disambiguation. To enhance the performance of...
Cell polarity is involved in many biological functions such as development, wound healing and immune responses. In human neutrophils, polarization is characterized by the translocation of distinct sets of signaling molecules to opposite ends of the cell and the rapid rearrangement of cytoskeleton to initiate migration. While many image-based studies have described cellular morphology and the intensity...
Previous studies have suggested that some graph properties of protein interaction networks might be related with gene morbidity. In particular, it has been suggested that when a polymorphism affects a gene, it is more likely to produce a disease if the node degree in the interaction network is higher than for other genes. However, these results do not take into account the possible bias introduced...
A cluster analysis on a set of Retro-Transcribing viral proteomic sequences is described in this paper. A Lysine-Arginine concentration vector is calculated from the sequences and analyzed to identify correlations among species. The computational strategy is based on the K-Means algorithm to partition the data into disjoint sets of points. A search method based on Evolutionary Programming is incorporated,...
The existence of BLAST sequence comparison algorithm and microarray technology are among the reasons that make bioinformatics the domain with the most abundant large relational datasets. For example, by BLAST-ing the genes of the human genome (around 30,000 genes) we obtain a 30,000 by 30,000 distance matrix. This matrix can not be currently stored in the memory of a typical desktop PC. In the same...
The amyloid-beta peptide (Abeta) plays a central pathophysiological role in Alzheimer's disease, but virtually nothing is known about the concentration and dynamics of this secreted peptide in the extracellular space of the human brain. We used intracerebral microdialysis to obtain serial brain interstitial fluid (ISF) samples in 18 patients who were undergoing invasive intracranial monitoring after...
Increasing variety of molecular networks emerge from high-throughput genome data. In eukaryote, transcription factor is a major regulator at transcription level. Examining relations between features of these networks and their biological significance attracts attention of many researchers. While abundant quantity of studies represented connections between protein networks and topological parameters,...
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