Vitamin C and aberrant electrolyte results.

Vitamin C interferes with assays involving the redox-reaction. However, the interference of Vitamin C with electrolytes has not been reported. In the present case, we describe a 61-year-old lady with severe electrolyte abnormalities after administration of high doses of vitamin C. This patient, who had terminal colon cancer, presented to hospital with anuria. Her electrolytes were extremely abnormal (determined on the Beckman Synchron LX20): serum sodium 200 mmol/L, potassium 7.0 mmol/L, and chloride 50 mmol/L. Repeated measurements showed similar abnormalities. However, these critical abnormalities did not fit her clinical picture, as she was alert with normal vital signs. One of the specimens was also run on both the ABL700 and the Bayer644 analyzers, and the electrolytes appeared normal. Pooled serum from healthy individuals to which various amounts of vitamin C was added then was analyzed on Beckman Synchron LX20 for electrolytes, demonstrating the interference of vitamin C consistent with the initial finding. Thus, we eventually figured out that the aberrant results were due to the vitamin C caused analytical interference.     

Impact of polymer tacticity on the physico-chemical behaviour of polymers proposed as therapeutics

Although water-soluble polymers are finding increasing use as polymer therapeutics, there has been little consideration of the effect of polymer stereochemistry on their physico-chemical and biological properties. The aim of this study was to investigate these properties using polymethacrylic acids (PMAs) of similar molecular weights with a difference in syndiotacticity of about 20% of rr triad content. Experiments to characterize the solution behaviour were conducted at pHs encountered during the transport, endocytic uptake and intracellular trafficking (7.4-3.0). These showed that with increasing rr triads, the polymer become less hydrophobic, a stronger acid, displayed a locally ordered solution conformation at pH 5.5, and interacted more strongly with dodecyl trimethylammonium bromide (DTAB) micelles. Preliminary cytotoxicity experiments using B16F10 melanoma cells showed lower toxicity in the concentration range of 1-100 μg/mL with increased rr triads. These observations indicate that the higher content of rr triads could drive a chain organization that minimize the influence of negative charges and so underline the importance of further, systematic studies to investigate the effect of tacticity on the behaviour of polymers in respect of their pharmacokinetics, toxicity and efficacy.     

Imaging apolipoprotein AI in vivo

Coronary disease risk increases inversely with high-density lipoprotein (HDL) level. The measurement of the biodistribution and clearance of HDL in vivo, however, has posed a technical challenge. This study presents an approach to the development of a lipoprotein MRI agent by linking gadolinium methanethiosulfonate (Gd[MTS-ADO3A]) to a selective cysteine mutation in position 55 of apo AI, the major protein of HDL. The contrast agent targets both liver and kidney, the sites of HDL catabolism, whereas the standard MRI contrast agent, gadolinium-diethylenetriaminepentaacetic acid-bismethylamide (GdDTPA-BMA, gadodiamide), enhances only the kidney image. Using a modified apolipoprotein AI to create an HDL contrast agent provides a new approach to investigate HDL biodistribution, metabolism and regulation in vivo.     

Coexpression network based on natural variation in human gene expression reveals gene interactions and functions

Genes interact in networks to orchestrate cellular processes. Analysis of these networks provides insights into gene interactions and functions. Here, we took advantage of normal variation in human gene expression to infer gene networks, which we constructed using correlations in expression levels of more than 8.5 million gene pairs in immortalized B cells from three independent samples. The resulting networks allowed us to identify biological processes and gene functions. Among the biological pathways, we found processes such as translation and glycolysis that co-occur in the same subnetworks. We predicted the functions of poorly characterized genes, including CHCHD2 and TMEM111, and provided experimental evidence that TMEM111 is part of the endoplasmic reticulum-associated secretory pathway. We also found that IFIH1, a susceptibility gene of type 1 diabetes, interacts with YES1, which plays a role in glucose transport. Furthermore, genes that predispose to the same diseases are clustered nonrandomly in the coexpression network, suggesting that networks can provide candidate genes that influence disease susceptibility. Therefore, our analysis of gene coexpression networks offers information on the role of human genes in normal and disease processes.The functions of many human genes are unknown. It is not unusual that when one searches the literature on a gene, one fails to find any papers that provide information on its biological roles. Identifying gene function is difficult, especially if no hints, such as homologies to known genes, are available to direct the search. However, since genes work by interacting with other genes, we may learn about their functions through their neighboring genes (Stuart et al. 2003; Ayroles et al. 2009). Identifying gene function is increasingly important; in the last several years, genome-wide association studies (GWAS) have identified DNA variants that are associated with common complex diseases. But for many of these studies, the functional links between the susceptibility genes and the diseases are unknown.In this study, we used correlations in expression levels of more than 8.5 million human gene pairs in immortalized B cells from three data sets to infer gene coexpression networks. The resulting gene networks were based on correlations between genes that were found reproducibly in the three data sets. This provided us with gene networks in which we had high confidence in the gene correlations. We then used the networks to identify key biological processes and interactions among those processes in our cells. Then, we identified the functions of 36 human genes with no known functions and four genes that have been implicated in GWAS as susceptibility genes for common human diseases, including IFIH1, which was recently found to be associated with type 1 diabetes.     

The glass transition and sub-T(g)-relaxation in pharmaceutical powders and dried proteins by thermally stimulated current

The main goal of the study was to evaluate the applicability of thermally stimulated current (TSC) as a measure of molecular mobility in dried globular proteins. Three proteins, porcine somatotropin, bovine serum albumin, and immunoglobulin, as well as materials with a strong calorimetric glass transition (T(g)), that is, indomethacin and poly(vinypyrrolidone) (PVP), were studied by both TSC and differential scanning calorimetry (DSC). Protein/sugar colyophilized mixtures were also studied by DSC, to estimate calorimetric T(g) for proteins using extrapolation procedure. In the majority of cases, TSC detected relaxation events that were not observed by DSC. For example, a sub-T(g) TSC event (beta-relaxation) was observed for PVP at approximately 120 degrees C, which was not detected by the DSC. Similarly, DSC did not detect events in any of the three proteins below the thermal denaturation temperature whereas a dipole relaxation was detected by TSC in the range of 90-140 degrees C depending on the protein studied. The TSC signal in proteins was tentatively assigned as localized mobility of protein segments, which is different from a large-scale cooperative motions usually associated with calorimetric T(g). TSC is a promising method to study the molecular mobility in proteins and other materials with weak calorimetric T(g).     

Alcohol dehydrogenase genetic polymorphisms, low-to-moderate alcohol consumption, and risk of breast cancer

BACKGROUND: In vitro, human isoenzymes encoded by genes homozygous for the ADH1C*1 or ADH1B*2 alleles metabolize ethanol to acetaldehyde at a faster rate than those homozygous for the ADH1C*2 or ADH1B*1 allele. Because alcohol is a known risk factor for breast cancer, we evaluated the joint association of genetic variants in ADH and alcohol consumption in relation to breast cancer. METHODS: A nested case-control study of 321 cases and matched controls was conducted. Five single nucleotide polymorphisms (SNPs) in the ADH1C and ADH1B genes were genotyped. Logistic regression was used to assess odds ratios (ORs) and 95% confidence limits (CIs) for each SNP. Haplotype analysis of all 5 SNPs was also undertaken. RESULTS: Among drinkers, the median intake of total alcohol was 13 g/wk (10th-90th percentiles; 4.5-135.9) in cases and 18 g/wk (10th-90th percentiles; 4.5-104.1) in controls. Women who drank alcohol tended to be at an increased risk of developing breast cancer compared with those who did not drink (OR=1.40%, 95% CI 0.97-2.03), particularly those who were premenopausal at the time of breast cancer diagnosis (OR=2.69%, 95% CI: 1.00-7.26). Of the known functional alleles, breast cancer risk was not significantly increased among carriers of at least 1 ADH1C*1 or ADH1B*2 allele, when compared with those homozygous for the genotype at each locus. However, breast cancer risk tended to be lower among women who inherited the G allele at ADH1B IVS1+896A>G (OR=0.62, 95% CI 0.37-1.04). Overall haplotype frequencies were not significantly different between cases and controls. CONCLUSIONS: In this study low levels of alcohol are associated with a modest increase in breast cancer risk that is not altered by known functional allelic variants of the ADH1B and 1C gene. The protective association conferred by the G allele at ADH1B IVS1+896A>G needs further evaluation.