Oxidative stress and S-100B protein in children with bacterial meningitis

Background  

Bacterial meningitis is often associated with cerebral compromise which may be responsible for neurological sequelae in nearly half of the survivors. Little is known about the mechanisms of CNS involvement in bacterial meningitis. Several studies have provided substantial evidence for the key role of nitric oxide (NO) and reactive oxygen species in the complex pathophysiology of bacterial meningitis.     

Biostratigraphy of the Peri-Gondwana Cambrian trilobite fauna (northern Kerman,Iran) and correlation with other countries

Polymeroid trilobite fauna from two stratigraphic sections (Godbondar and Kuhbanan) of the Kuhbanan Formation in northern Kerman (central Iran) were studied and subjected to biostratigraphic analysis. Eleven genera and species are recognised from the latest Early Cambrian and Middle Cambrian Peri-Gondwanian successions of the study sections. The recognised fauna includes Afghanocare lategenatum, Blountia blountia, Iranoleesia sp., Iranoleesia pisiformis, Kermanella kuhbananensis, Kermanella lata lata, Kermanella lata minuta, Kermanella sp., Redlichia chinensis, Redlichia noetlingi and Redlichia sp. Based on trilobite distribution, three trilobite biozones were recognised in the study sections, namely Redlichia noetlingi biozone, Kermanella kuhbananensis biozone and Iranoleesia pisiformis biozone. The age of the study sections is late Early Cambrian to late Middle Cambrian based on the recognised trilobite biozones. The recognised late Early Cambrian trilobite assemblages (especially Redlichia and Kermanella) from northern Kerman are similar to those found from some other parts of Gondwana or Peri-Gondwana terrains (north India, Pakistan, northwestern Kashmir, Tajikistan, South Australia, South China and Afghanistan) and show affinities with fauna found in some other parts of Iran (Alborz, northern Iran; Tabas, eastern Iran; southeast Karman).     

Using weighted fixed neural networks for unsupervised fuzzy clustering

A novel algorithm for unsupervised fuzzy clustering is introduced. The algorithm uses a so-called Weighted Fixed Neural Network (WFNN) to store important and useful information about the topological relations in a given data set. The algorithm produces a weighted connected net, of weighted nodes connected by weighted edges, which reflects and preserves the topology of the input data set. The weights of the nodes and the edges in the resulting net are proportional to the local densities of data samples in input space. The connectedness of the net can be changed, and the higher the connectedness of the net is chosen, the fuzzier the system becomes. The new algorithm is computationally efficient when compared to other existing methods for clustering multi-dimensional data, such as color images.     

The role of microRNAs regulating the expression of matrix metalloproteinases (MMPs) in breast cancer development,progression, and metastasis

MicroRNAs (miRNAs) regulate several biological and physiological processes in mammalian cells, including cellular proliferation, differentiation, apoptosis, and metabolism. Recent studies have confirmed the alteration of them during the cancer development. Matrix metalloproteinases (MMPs), belonging to the large family of proteases, have also been demonstrated to play crucial roles in tissue remodeling, and to support cancer progression and metastasis. There are several known miRNAs which regulate the MMP family and their expression. The expression profiles of miRNAs involved in MMP regulation, change during cancer progression, and metastasis. The present review focuses on important miRNAs capable of targeting MMPs through direct and indirect interactions during the breast cancer development, progression, and metastasis.     

Atorvastatin and losartan may upregulate renalase activity in hypertension but not coronary artery diseases: The role of gene polymorphism

The aim is to explore the treatment effect of coronary artery disease (CAD) and hypertension on plasma levels of renalase activity and also the possible association of renalase rs10887800 gene polymorphism with CAD and hypertension. A total of 286 patients who received coronary angiography were included in the study. Subjects were divided into four groups including (1) hypertensive with no CAD (H-Tens, n = 60); (2) CAD with hypertension (CAD + H-Tens, n = 71); (3) CAD with no hypertension (CAD, n = 61); and (4) nonhypertensive with no CAD as a control group (Con, n = 69). The plasma renalase activity was measured using the Amplex Red Monoamine Oxidase Assay Kit. Renalase rs10887800 single-nucleotide polymorphisms (SNPs) were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Atorvastatin (P = 0.005), losartan (P < 0.001), and captopril (P = 0.001) were administered significantly more in case groups compared with the Con group. Significant higher and lower levels of renalase activity were observed in H-Tens and CAD patients compared with control subjects (P < 0.001 for both comparisons). Furthermore, no significant differences were obtained in the risk or protective effects of renalase rs10887800 SNP against hypertension and/or CAD in both recessive and dominant genetic models (P > 0.05). According to the findings of the present study, atorvastatin and losartan therapy assumes considerable significance in alleviating hypertension, but not CAD, by increasing the renalase activity. Furthermore, it was found that renalase rs10887800 is less likely a predisposing factor for susceptibility to hypertension and/or CAD in an Iranian southeast population.     

Variability of United States Isolates of Macrophomina phaseolina Based on Simple Sequence Repeats and Cross Genus Transferability to Related Genera Within Botryosphaeriaceae

Twelve simple sequence repeat (SSRs) loci were used to evaluate genetic diversity of 109 isolates of Macrophomina phaseolina collected from different geographical regions and host species throughout the United States (US). Genetic diversity was assessed using Nei’s minimum genetic distance, and the usefulness of each locus was determined by calculating the polymorphism information content (PIC). A total of 98 alleles were detected and of these 31 were unique to individual genotypes. Eight of twelve loci were highly informative with PIC values greater than 0.50. The majority of pairwise comparisons of genetic distance were greater than 0.60 indicating moderate to high genetic diversity. Dendrograms based on the genetic dissimilarities were created for the 109 isolates of which 79 were from soybean. Some clustering by host and geography was noted, but, the dendrograms generally grouped isolates independent of host or geography. Additionally, sequencing of the internal transcribed spacer region (ITS) for 10 isolates revealed that all of these isolates were 99% similar. Three SSR loci from M. phaseolina were cross amplified in other genera in the Botryosphaeriaceae. This was the first study of genotyping and assessing genetic diversity of M. phaseolina isolates collected from a widespread host and geographic range across the US with SSRs. With an additional 34 loci publically available for M. phaseolina, the results indicate that previously developed SSRs from one species can be used in future population, ecological, and genetic studies of M. phaseolina and other genera within the Botryosphaeriaceae.