Production of bacterial cellulose tubes for biomedical applications: Analysis of the effect of fermentation time on selected properties

Biosynthesis of bacterial cellulose (BC) in cylindrical oxygen permeable molds allows the production of hollow tubular structures of increasing interest for biomedical applications (artificial blood vessels, ureters, urethra, trachea, esophagus, etc.). In the current contribution a simple set-up is used to obtain BC tubes of predefined dimensions; and the effects of fermentation time on the water holding capacity, nanofibrils network architecture, specific surface area, chemical purity, thermal stability, mechanical properties, and cell adhesion, proliferation and migration of BC tubes are systematically analysed for the first time. The results reported highlight the role of culture time on key properties of the BC tubes produced, with significant differences arising from the denser and more compact fibril arrangements generated at longer fermentation intervals.

MODY patients exhibit shorter telomere length than non-diabetic subjects

BACKGROUND

Given the increasing evidence supporting the association between telomere shortening and diabetes, the aim of the present work was to establish whether MODY patients suffer a reduction in telomere lenght (TL) due to oxidative stress produced by chronic hyperglycemia, despite not presenting insulin resistance or inflammation.

METHODS

We analysed clinical and biochemical parameters in 35 MODY2 and 12 MODY3 patients compared with 48 control subjects. The absolute telomere length (aTL) of peripheral blood leukocytes was measured using the quantitative polymerase chain reaction (qPCR).

RESULTS

A significant negative correlation was observed between aTL and age in the whole population, among MODY patients and in each subtype studied, MODY2 and MODY3, which allowed us to validate the method. We found, for the first time, that MODY patients have shorter aTL with respect to non-diabetic controls (6.49 ± 3.31 kbp vs 11.13 ± 7.82 kbp, p = .006). However, no differences were found between MODY2 and MODY3. In addition, aTL showed a negative correlation with duration of the disease and fasting plasma glucose (FPG) levels in MODY patients in general and also with HbA1c in MODY2 patients in particular.

CONCLUSIONS

Both MODY2 and MODY3 types present telomere shortening, which, at least partly, responds to HbA1c and FPG levels. These findings suggest comparable mechanisms underlying the attrition of TL. Taken together, our results on aTL in MODY patients may provide a parameter relatively easy and inexpensive to quantify in order to measure the impact of high glucose levels and potentially carry out antidiabetic treatment with stricter targets.

[Polymorphism in CYP11alpha and CYP17 genes and the etiology of hyperandrogenism in patients with polycystic ovary syndrome]

The polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine metabolic disorder with genetic predisposition affecting 6% of women in the reproductive age. This syndrome is characterized by the presence of oligo-anovulation, hyperandrogenism and polycystic ovaries. Several genes have been postulated as responsible for the etiology of this disorder. Among these genes are those encoding the enzymes involved in the ovarian androgen biosynthesis. Two of the candidate genes are the CYP17 and the CYP11alpha, encoding the 17-alpha-hydroxylase (P45017alpha) and the cholesterol side chain cleavage (P450scc) respectively. The polymorphisms of these genes are linked to the development of an hyperandrogenic phenotype. The aim of this work was to analyze the allelic frequencies of such polymorphisms in a cohort of women with PCOS and to compare them with those of healthy women. Furthermore, the correlation between each allelic variant and the corresponding hyperandrogenic phenotype was also assessed. Therefore, 65 patients and 58 age matched healthy controls were analyzed. The serum levels of testosterone and the frequency of each polymorphism were determined. When the PCOS population was analyzed, a significant statistical difference was found when relating the group with the highest androgenemia level with the presence of A2/A2 genotype of CYP 17 gene, and a higher level of circulating androgen was found in PCO women carrying the 216- allele of CYP11alpha gene (that did not reach statistical significance). Our results suggest that both alleles play a minor role in the development of PCOS and could be a genetic risk marker of the hyperandrogenic phenotype.

Bayesian network multi-classifiers for protein secondary structure prediction

Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-structure threading for aiding in structure and function determination. Hence the improvement of predictive accuracy of the secondary structure prediction becomes essential for future development of the whole field of protein research. In this work we present several multi-classifiers that combine the predictions of the best current classifiers available on Internet. Our results prove that combining the predictions of a set of classifiers by creating composite classifiers is a fruitful one. We have created multi-classifiers that are more accurate than any of the component classifiers. The multi-classifiers are based on Bayesian networks. They are validated with 9 different datasets. Their predictive accuracy results outperform the best secondary structure predictors by 1.21% on average. Our main contributions are: (i) we improved the best know predictive accuracy by 1.21%, (ii) our best results have been obtained with a new semi naïve Bayes approach named Pazzani-EDA and (iii) our multi-classifiers combine results of previously build classifiers predictions obtained through Internet, thanks to our development of a Java application.