Biochemical Parameters in Relation to Tuberculosis in Sudanese Patients

Background: Malnutrition and wasting are associated with TB and HIV infection. Malnutrition and tuberculosis are both problems of considerable magnitude in most of the underdeveloped regions of the world. Nutritional status is significantly lower in patients with active tuberculosis compared with healthy controls. Both, protein-energy malnutrition and micronutrients deficiencies increase the risk of tuberculosis.Objectives: To investigate the concentration of serum albumin, total protein, glutamate oxalo acetate transaminase (GOT), glutamate pyruvate transaminase (GPT) and zinc in Sudanese tuberculosis patients (TB), attending the Tropical Diseases Teaching Hospital, Khartoum State.Materials and Methods: The study was performed on 60 tuberculosis patients, compared with 40 healthy individual age and sex matched used as control group .The study period was from April to August 2011. Serum albumin, total protein, GOT and GPT levels were determined by using clinical chemistry analyzer while zinc level was analyzed by atomic absorption spectro-photometers.Results: Among TB patients the mean ±SD of plasma albumin, total protein, GOT, GPT and zinc respectively were 3.29±0.91, 7.55±1.59, 21.24±8.33, 9.12±6.34 and 0.47±0.17. The mean ±SD of plasma albumin, total protein, GOT, GPT and zinc for control group respectively were 4.19±0.93, 8.0±0.98, 26.0±9.08, 13.3±8.15, and 0.55±0.14. Statistically significant association was observed in all parameters between the patients and control group (P<0.05).Conclusions: This study concluded that TB patients had significant decreased levels of all parameters; however albumin and GPT were more significant as compared to others.Keywords: Tuberculosis, Total protein, Albumin, Liver enzymes, Zinc

Bisphenol A and 17β-Estradiol Promote Arrhythmia in the Female Heart via Alteration of Calcium Handling

There is wide-spread human exposure to bisphenol A (BPA), a ubiquitous estrogenic endocrine disruptor that has been implicated as having potentially harmful effects on human heart health. Higher urine BPA concentrations have been shown to be associated with cardiovascular diseases in humans. However, neither the nature nor the mechanism(s) of BPA action on the heart are understood. leak suppressed estrogen-induced triggered activities. The rapid response of female myocytes to estrogens was abolished in an estrogen receptor (ER) β knockout mouse model. leak. Our study provides the first experimental evidence suggesting that exposure to estrogenic endocrine disrupting chemicals and the unique sensitivity of female hearts to estrogens may play a role in arrhythmogenesis in the female heart

Investigating the effect of paralogs on microarray gene-set analysis

<p>Abstract</p> <p>Background</p> <p>In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to analyses of sets of genes. These gene-set analysis (GSA) methods use previously accumulated biological knowledge to group genes into sets and then aim to rank these gene sets in a way that reflects their relative importance in the experimental situation in question. We suspect that the presence of paralogs affects the ability of GSA methods to accurately identify the most important sets of genes for subsequent research.</p> <p>Results</p> <p>We show that paralogs, which typically have high sequence identity and similar molecular functions, also exhibit high correlation in their expression patterns. We investigate this correlation as a potential confounding factor common to current GSA methods using Indygene <url>http://www.cbio.uct.ac.za/indygene</url>, a web tool that reduces a supplied list of genes so that it includes no pairwise paralogy relationships above a specified sequence similarity threshold. We use the tool to reanalyse previously published microarray datasets and determine the potential utility of accounting for the presence of paralogs.</p> <p>Conclusions</p> <p>The Indygene tool efficiently removes paralogy relationships from a given dataset and we found that such a reduction, performed prior to GSA, has the ability to generate significantly different results that often represent novel and plausible biological hypotheses. This was demonstrated for three different GSA approaches when applied to the reanalysis of previously published microarray datasets and suggests that the redundancy and non-independence of paralogs is an important consideration when dealing with GSA methodologies.</p