A variant glucose-6-phosphate dehydrogenase Gd(-) Chiapas associated with moderate enzyme deficiency and occasional hemolytic anemia

Summary Erythrocyte glucose-6-phosphate deficiency is an X-chromosomal-linked hereditary trait often associated with hemolytic anemia. This report defines a new variant designated as Gd(-) Chiapas, which was found in a subject with occasional hemolytic jaundice. The red cell enzyme activity of the subject is about 15% of normal. The variant enzyme is thermolabile in vitro and has faster-than-normal anodal electrophoretic mobility and stronger-than-normal substrate affinity. The patient's hemolytic problem might be correlated with instability of the variant enzyme under physiologic stress.This study was supported in part by the US Public Health Service Grant HL-15125.     

Comparative study of two culture conservation methods in medical mycology

The efficiency of two fungal conservation methods was compared: Suspension in sterile distilled water and subcultures on potato dextrose agar (PDA) slants at 4 °C. One hundred and eleven strains corresponding to 84 different-species of microorganisms studied in medical mycology were evaluated. The efficiency of each method was estimated by the survival percentage and the preservation of the morphological features of each strain within a seven-year period. From the 111 strains, 79 (71.2%) were preserved viable in water, compared to 86 (77.5%) strains preserved by subculture on PDA slants. Concerning morphological features 75 of the 79 water viable strains (94.9%) conserved their morphology. In contrast, only 60 of the 86 strains (69.8%) conserved their typical morphology by the PDA subculture method. The water conservation method offers important benefits over serial subculture such as: Minimal pleomorphism, simple, rapid and requiring few materials. Thus, the water conservation method is recommended for laboratories where specialized conservation equipment is not available.     

Nano-biosensor development for bacterial detection during human kidney infection: Use of glycoconjugate-specific antibody-bound gold NanoWire arrays (GNWA)

Infectious disease, commonly caused by bacterial pathogens, is now the worlds leading cause of premature death and third overall cause behind cardiovascular disease and cancer. Urinary Tract Infection (UTI), caused by E. coli bacteria, is a very common bacterial infection, a majority in women (85%) and may result in severe kidney failure if not detected quickly. Among hundreds of strains the bacteria, E. coli 0157:H7, is emerging as the most aggressive one because of its capability to produce a toxin causing hemolytic uremic syndrome (HUS) resulting in death, especially in children. In the present study, a project has been undertaken for developing a rapid method for UTI detection in very low bacteria concentration, applying current knowledge of nano-technology. Experiments have been designed for the development of biosensors using nano-fabricated structures coated with elements such as gold that have affinity for biomolecules. A biosensor is a device in which a biological sensing element is either intimately connected to or integrated within a transducer. The basic principle for the detection procedure of the infection is partly based on the enzyme-linked immunosorbent assay system. Anti-E. coli antibody-bound Gold Nanowire Arrays (GNWA) prepared on anodized porous alumina template is used for the primary step followed by binding of the bacteria containing specimen. An alkaline phosphatase-conjugated second antibody is then added to the system and the resultant binding determined by both electrochemical and optical measurements. Various kinds of GNWA templates were used in order to determine the one with the best affinity for antibody binding. In addition, an efficient method for enhanced antibody binding has been developed with the covalent immobilization of an organic linker Dithiobissuccinimidylundecanoate (DSU) on the GNWA surface. Studies have also been conducted to optimize the antibody-binding conditions to the linker-attached GNWA surfaces for their ability to detect bacteria in clinical concentrations. Published in 2004.     

Detection of heart murmurs using wavelet analysis and artificial neural networks

This paper presents the algorithm and technical aspects of an intelligent diagnostic system for the detection of heart murmurs. The purpose of this research is to address the lack of effectively accurate cardiac auscultation present at the primary care physician office by development of an algorithm capable of operating within the hectic environment of the primary care office. The proposed algorithm consists of three main stages. First; denoising of input data (digital recordings of heart sounds), via Wavelet Packet Analysis. Second; input vector preparation through the use of Principal Component Analysis and block processing. Third; classification of the heart sound using an Artificial Neural Network. Initial testing revealed the intelligent diagnostic system can differentiate between normal healthy heart sounds and abnormal heart sounds (e.g., murmurs), with a specificity of 70.5% and a sensitivity of 64.7%.