Comparative studies on lipogenesis and cholesterogenesis in lipemic BHE rats and normal Wistar rats.

The BHE strain of rat is characterized by early hyperinsulinemia and maturity onset hyperlipemia and hyperglycemia. Since we have previously shown that insulin is required for the coordinate regulation of a number of lipogenic enzymes in rat liver, a comparative study of the hepatic activities of the rate-limiting enzymes of lipid synthesis and the in vivo rates of fatty acid and cholesterol synthesis in the liver and the adipose tissue has been conducted in BHE and Wistar rats. In the liver, BHE rats had 25–28% higher acetyl-CoA carboxylase and fatty acid synthetase activities as measured in vitro but a 100% greater rate of fatty acid synthesis in vivo as compared to Wistar animals. These results strongly suggest that factors other than the amount of acetyl-CoA carboxylase, such as allosteric effectors, must be operating in vivo, thereby facilitating the carboxylase to function at its maximal capacity in BHE rats. Such a regulation of fatty acid biosynthesis by allosteric modifiers of acetyl-CoA carboxylase is already known, although the mechanism of this regulation is not fully understood. BHE rats also exhibited a twofold greater rate of fatty acid synthesis in the adipose tissue compared to the Wistar rats. Thus, increased lipogenic capacity and increased lipogenesis in BHE rats are consistent with early hyperinsulinemia in this strain. Furthermore, BHE rats had 71% more 3-hydroxy-3-methylglutaryl CoA reductase activity with a 97% greater rate of cholesterol synthesis as compared to Wistar rats. In contrast, cholesterol 7α-hydroxylase activity was only 20% greater in BHE rats compared to Wistar rats, suggesting that the BHE rat does not have the capacity to degrade cholesterol to bile acids at a rate commensurate with the increased rate of cholesterol synthesis. This difference in synthesis versus degradation might account for the hypercholesterolemia which occurs in BHE rats, but not in Wistar rats.     

Are mutagenic non D-loop direct repeat motifs in mitochondrial DNA under a negative selection pressure?

Non D-loop direct repeats (DRs) in mitochondrial DNA (mtDNA) have been commonly implicated in the mutagenesis of mtDNA deletions associated with neuromuscular disease and ageing. Further, these DRs have been hypothesized to put a constraint on the lifespan of mammals and are under a negative selection pressure. Using a compendium of 294 mammalian mtDNA, we re-examined the relationship between species lifespan and the mutagenicity of such DRs. Contradicting the prevailing hypotheses, we found no significant evidence that long-lived mammals possess fewer mutagenic DRs than short-lived mammals. By comparing DR counts in human mtDNA with those in selectively randomized sequences, we also showed that the number of DRs in human mtDNA is primarily determined by global mtDNA properties, such as the bias in synonymous codon usage (SCU) and nucleotide composition. We found that SCU bias in mtDNA positively correlates with DR counts, where repeated usage of a subset of codons leads to more frequent DR occurrences. While bias in SCU and nucleotide composition has been attributed to nucleotide mutational bias, mammalian mtDNA still exhibit higher SCU bias and DR counts than expected from such mutational bias, suggesting a lack of negative selection against non D-loop DRs.     

A new toxin isolated from Xanthomonas malvacearum which inhibits mitochondrial ATP--ADP translocase

The pathogenic effect of cotton blight disease is influenced by Xanthomonas malvacearum toxin. The toxin has been highly purified and the interaction between the toxin and the energy-generating system of mitochondria has been characterized. The results show that the toxin inhibits the ATP-ADP translocase system of the mitochondria.     

Comprehensive geriatric assessment for older women with early breast cancer - a systematic review of literature

ABSTRACT: BACKGROUND: The Comprehensive Geriatric Assessment (CGA) is an analytical tool increasingly implemented in clinical practice. Breast cancer is primarily a disease of older people; however, most evidence-based research is aimed at younger patients. METHODS: A systematic review of literature was carried out to assess the use of CGA in older breast cancer patients for clinical decision making. The PubMed, Embase and Cochrane databases were searched. RESULTS: A total of nine useful full text article results were found. Only five of these were exclusively concerned with early breast cancer; thus, studies involving a variety of cancer types, stages and treatments were accepted, as long as they included early breast cancer. The results comprised a series of low sources of evidence. However, all results shared a common theme: the CGA has a use in determining patient suitability for different types of cancer treatment and subsequently maximizing the patient's quality of life. CONCLUSIONS: There is not yet sufficient high level evidence to instate CGA guidelines as a mandatory practice in the management of breast cancer, due to the heterogeneity of available studies. More studies need to be conducted to cement current work on the benefits of the CGA. An area of particular interest is with regard to treatment options, especially surgery and chemotherapy, and identifying patients who may be suitable for these treatments.     

Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties

In this paper, the design problem of state estimator for genetic regulatory networks with time delays and randomly occurring uncertainties has been addressed by a delay decomposition approach. The norm-bounded uncertainties enter into the genetic regulatory networks (GRNs) in random ways, and such randomly occurring uncertainties (ROUs) obey certain mutually uncorrelated Bernoulli distributed white noise sequences. Under these circumstances, the state estimator is designed to estimate the true concentration of the mRNA and the protein of the uncertain GRNs. Delay-dependent stability criteria are obtained in terms of linear matrix inequalities by constructing a Lyapunov–Krasovskii functional and using some inequality techniques (LMIs). Then, the desired state estimator, which can ensure the estimation error dynamics to be globally asymptotically robustly stochastically stable, is designed from the solutions of LMIs. Finally, a numerical example is provided to demonstrate the feasibility of the proposed estimation schemes.