Frequency and molecular types of deletional α-thalassemia in Egypt

Summary The frequency of deletional -thalassemia in the Egyptian population was estimated at 0.08 by DNA analysis of a newborn random sample. No ⁰ determinants were found. The most frequent ⁺ determinant was the –^3.7 type I in association with the medium allele at inter-zeta HVR. The –^4.2 and ^{anti 3.7} arrangements were found at very low frequencies.     

Enhancement of the bioavailability of an antihypertensive drug by transdermal protransfersomal system: formulation and in vivo study

Timolol Maleate (TiM), a nonselective β-adrenergic blocker, is a potent highly effective agent for management of hypertension. The drug suffers from poor oral bioavailability (50%) due to its first pass effect and a short elimination half-life of 4?h; resulting in its frequent administration. Transdermal formulation may circumvent these problems in the form of protransfersomes. The aim of this study is to develop and optimize transdermal protransfersomal system of Timolol Maleate by film deposition on carrier method where protransfersomes were converted to transfersomes upon skin hydration following transdermal application under occlusive conditions. Two 2³ full factorial designs were employed to investigate the influence of three formulation variables which were; phosphatidyl choline: surfactant molar ratio, carrier: mixture and the type of SAA each on particle size, drug entrapment efficiency and release rate. The optimized formulation was evaluated regarding permeation through hairless rat skin and compared with oral administration of aqueous solution on male Wistar rats. Optimized protransfersomal system had excellent permeation rate through shaved rat skin (780.69?μg/cm²/h) and showed six times increase in relative bioavailability with prolonged plasma profile up to 72?h. A potential protransfresomal transdermal system was successfully developed and factorial design was found to be a smart tool in its optimization.     

A shared comparison of diabetes mellitus and neurodegenerative disorders

Diabetes mellitus (DM), one of the most prevalent metabolic diseases in the world population, is associated with a number of comorbid conditions including obesity, pancreatic endocrine changes, and renal and cardio-cerebrovascular alterations, coupled with peripheral neuropathy and neurodegenerative disease, some of these disorders are bundled into metabolic syndrome. Type 1 DM (T1DM) is an autoimmune disease that destroys the insulin-secreting islet cells. Type 2 DM (T2DM) is diabetes that is associated with an imbalance in the glucagon/insulin homeostasis that leads to the formation of amyloid deposits in the brain, pancreatic islet cells, and possibly in the kidney glomerulus. There are several layers of molecular pathologic alterations that contribute to the DM metabolic pathophysiology and its associated neuropathic manifestations. In this review, we describe the general signature metabolic features of DM and the cross-talk with neurodegeneration. We will assess the underlying molecular key players associated with DM-induced neuropathic disorders that are associated with both T1DM and T2DM. In this context, we will highlight the role of tau and amyloid protein deposits in the brain as well in the pancreatic islet cells, and possibly in the kidney glomerulus. Furthermore, we will discuss the central role of mitochondria, oxidative stress, and the unfolded protein response in mediating the DM-associated neuropathic degeneration. This study will elucidate the relationship between DM and neurodegeneration which may account for the evolution of other neurodegenerative diseases, particularly Alzheimer's disease and Parkinson's disease as discussed later.     

Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool 'CubeX'

Background  

The frequency of a haplotype comprising one allele at each of two loci can be expressed as a cubic equation (the 'Hill equation'), the solution of which gives that frequency. Most haplotype and linkage disequilibrium analysis programs use iteration-based algorithms which substitute an estimate of haplotype frequency into the equation, producing a new estimate which is repeatedly fed back into the equation until the values converge to a maximum likelihood estimate (expectation-maximisation).     

Distribution of transfer RNA genes in thePisum sativum chloroplast DNA

Purified chloroplast tRNAs were isolated fromPisum sativum leaves and radioactively labeled at their 3′ end using tRNA nucleotidyl transferase and α³²P-labeled CTP. Pea ctDNA was fragmented using a number of restriction endonucleases and hybridized with thein vitro labeled chloroplast tRNAs by DNA transfer method. Genes for tRNAs have been found to be dispersed throughout the chloroplast genome. A closer analysis of the several hybrid regions using recombinant DNA plasmids have shown that tRNA genes are localized in the chloroplast genome in both single and multiple arrangements. Two dimensional gel electrophoresis of total ct tRNA have identified 36 spots. All of them have been found to hybridize withPisum sativum ctDNA. Using recombinant clones, 30 of the tRNA spots have been mapped inPisum sativum ctDNA.     

Revealing pancrustacean relationships: Phylogenetic analysis of ribosomal protein genes places Collembola (springtails) in a monophyletic Hexapoda and reinforces the discrepancy between mitochondrial and nuclear DNA markers

Background  

In recent years, several new hypotheses on phylogenetic relations among arthropods have been proposed on the basis of DNA sequences. One of the challenged hypotheses is the monophyly of hexapods. This discussion originated from analyses based on mitochondrial DNA datasets that, due to an unusual positioning of Collembola, suggested that the hexapod body plan evolved at least twice. Here, we re-evaluate the position of Collembola using ribosomal protein gene sequences.     

Ranking non-synonymous single nucleotide polymorphisms based on disease concepts

As the number of non-synonymous single nucleotide polymorphisms (nsSNPs) identified through whole-exome/whole-genome sequencing programs increases, researchers and clinicians are becoming increasingly reliant upon computational prediction algorithms designed to prioritize potential functional variants for further study. A large proportion of existing prediction algorithms are ‘disease agnostic’ but are nevertheless quite capable of predicting when a mutation is likely to be deleterious. However, most clinical and research applications of these algorithms relate to specific diseases and would therefore benefit from an approach that discriminates between functional variants specifically related to that disease from those which are not. In a whole-exome/whole-genome sequencing context, such an approach could substantially reduce the number of false positive candidate mutations. Here, we test this postulate by incorporating a disease-specific weighting scheme into the Functional Analysis through Hidden Markov Models (FATHMM) algorithm. When compared to traditional prediction algorithms, we observed an overall reduction in the number of false positives identified using a disease-specific approach to functional prediction across 17 distinct disease concepts/categories. Our results illustrate the potential benefits of making disease-specific predictions when prioritizing candidate variants in relation to specific diseases. A web-based implementation of our algorithm is available at http://fathmm.biocompute.org.uk.     

The anti-tumour effect of induced pluripotent stem cells against submandibular gland carcinoma in rats is achieved via modulation of the apoptotic response and the expression of Sirt-1, TGF-β, and MALAT-1 in cancer cells

Molecular and Cellular Biochemistry - The era of induced pluripotent stem cells (iPSCs) was used as novel biotechnology to replace embryonic stem cells bypassing the ethical concerns and problems...     

Neonatal chemokine levels and risk of autism spectrum disorders: Findings from a Danish historic birth cohort follow-up study

A potential role of chemokines in the pathophysiology of Autism Spectrum Disorders (ASDs) has been previously suggested. In a recent study we examined levels of three inflammatory chemokines (MCP-1, MIP-1α and RANTES) in samples of amniotic fluid of children diagnosed later in life with ASD and controls frequency-matched to cases on gender and year of birth. In this follow-up study, levels of the same chemokines were analyzed postnatally in dried blood spot samples from the same subjects utilizing the Danish Newborn Screening Biobank. Crude estimates showed decreased levels of RANTES. In the adjusted estimates, no differences were found in levels of the three examined chemokines in ASD cases compared to controls. Our findings may cautiously suggest an altered cell-mediated immunity during the early neonatal period in ASD. Further research is needed to examine the relationship between maternal/fetal and neonatal chemokine levels and their role in ASD.