Cardiovascular complications and related risk factors underlying opium consumption

Opium is considered as the second most abused addictive compound in worldwide. It seems that one of the causes for common consumption of opium in many countries is a traditional belief, even among medical personnel, through which opium might have advantageous influences on cardiovascular events and be beneficial in controlling hypertension, dyslipidemia, and diabetes. According to several investigations, it is thought that opium not only has no beneficial effects on cardiovascular events, but it might have deleterious influences on these settings. As a result, people need to be trained with regard to the adverse effects of opium on cardiovascular events. In this review, we try to go through the understanding of the effects of opium cardiovascular disorders and related complications such as blood pressure, blood sugar, lipid circumstances, and finally atherosclerosis.     

Accurate,Fully-Automated NMR Spectral Profiling for Metabolomics

Many diseases cause significant changes to the concentrations of small molecules (a.k.a. metabolites) that appear in a person’s biofluids, which means such diseases can often be readily detected from a person’s “metabolic profile"—i.e., the list of concentrations of those metabolites. This information can be extracted from a biofluids Nuclear Magnetic Resonance (NMR) spectrum. However, due to its complexity, NMR spectral profiling has remained manual, resulting in slow, expensive and error-prone procedures that have hindered clinical and industrial adoption of metabolomics via NMR. This paper presents a system, BAYESIL, which can quickly, accurately, and autonomously produce a person’s metabolic profile. Given a 1D ¹H NMR spectrum of a complex biofluid (specifically serum or cerebrospinal fluid), BAYESIL can automatically determine the metabolic profile. This requires first performing several spectral processing steps, then matching the resulting spectrum against a reference compound library, which contains the “signatures” of each relevant metabolite. BAYESIL views spectral matching as an inference problem within a probabilistic graphical model that rapidly approximates the most probable metabolic profile. Our extensive studies on a diverse set of complex mixtures including real biological samples (serum and CSF), defined mixtures and realistic computer generated spectra; involving > 50 compounds, show that BAYESIL can autonomously find the concentration of NMR-detectable metabolites accurately (~ 90% correct identification and ~ 10% quantification error), in less than 5 minutes on a single CPU. These results demonstrate that BAYESIL is the first fully-automatic publicly-accessible system that provides quantitative NMR spectral profiling effectively—with an accuracy on these biofluids that meets or exceeds the performance of trained experts. We anticipate this tool will usher in high-throughput metabolomics and enable a wealth of new applications of NMR in clinical settings. BAYESIL is accessible at http://www.bayesil.ca.     

A unique EF-hand motif in mnemiopsin photoprotein from Mnemiopsis leidyi: implication for its low calcium sensitivity

Up to now, all reported Ca²⁺-regulated photoproteins, except for mnemiopsin, have been cloned and expressed in Escherichia coli. In this study, the cDNA for an isotype of mnemiopsin, from the ctenophore Mnemiopsis leidyi, has been cloned, sequenced, and functionally expressed. The full length cDNA encoding mnemiopsin of M. leidyi was 624 bp open reading frame encoding a protein of 207 amino acid residues with calculated molecular mass of ∼24 kDa. The deduced amino acid sequence showed 90% and 84% identity to berovine (from ctenophore Beroe abyssicola) and bolinopsin 2 (from the ctenophore Bolinopsis infundibulum) respectively. In contrast to all known EF-hand in photoproteins, a unique EF-hand motif was found in mnemiopsin, in which a conserved glycine is substituted with glutamic acid. According to the results, the optimum pH was 9.0, time course of regeneration was 15 h and its Ca²⁺ sensitivity was lower than aequorin. Results of pK_a calculation for ionizable residues, motif scan and hydrophobic interactions of cavity aromatic residues of mnemiopsin in comparison with aequorin showed different patterns in these two photoproteins. In addition, experimental results are confirmed with the theoretical studies.     

miRNA-375 promotes beta pancreatic differentiation in human induced pluripotent stem (hiPS) cells

Islet transplantation is considered as an ultimate option for the treatment of type I diabetes. Human induced pluripotent stem cells (hiPSCs) have raised the possibility that patient-specific insulin-secreting cells might be derived from somatic cells through cell fate reprogramming. However, current protocols mostly rely on the use of several cytokines and inhibitors for directing differentiation towards pancreatic fate. Given the high manufacturing cost of these recombinant proteins, this approach is prohibitive for clinical applications. Knowing that microRNAs (miRNAs) are key players in various stages of pancreatic development, we present a novel and cost-effective strategy in which over-expression of miR-375 promotes pancreatic differentiation in hiPSCs in the absence of any other stimulator. We used a polycistronic viral vector expressing Sox2, Klf4, c-Myc, and Oct4 to drive hiPSCs from human foreskin fibroblasts. The established hiPSCs are similar to human embryonic stem cells in many aspects including morphology, passaging, surface and pluripotency markers, and gene expression. For differentiation induction, miR-375 was lentivirally overexpressed in these hiPSCs. Morphological assessment, immunocytochemistry, and expression analysis of islet marker genes confirmed that islet like cells were obtained in miR-375 transduced cells compared to controls. Our differentiated clusters secreted insulin in a glucose-dependant manner, showing in vitro functionality. We demonstrated for the first time that miRNAs might be ideal substitutes to induce pancreatic differentiation in hiPSCs. This work provides a new approach to study the role of miRNAs in pancreatic specification and increase the feasibility of using patient-specific iPSCs for beta cell replacement therapy for type I diabetes.     

Phytosociology of Juniperus excelsa M.Bieb. forests in Alborz mountain range in the north of Iran

Juniperus excelsa is one of the specific tree species in the mountainous areas of Iran. It forms the mountainous forests of Irano-Turanian vegetation region. Despite the considerable spread of J. excelsa in Iran, there is no detailed and valid published study on the phytosociology of Iranian juniper stands. The aim of this research is to identify these associations and their characteristics in Alborz mountains in the north of Iran. To this goal, a set of data including floristic data according to Braun-Blanquet method, and important environmental characteristics, were collected. To classify the vegetation, TWINSPAN was used and phytosociology tables were analysed with JUICE software. Diagnostic species were determined by measuring the degree of fidelity and using statistically meaningful measurements. According to the results, the vegetation was classified into six associations and five subassociations. Among them are Cotoneastro nummulariis-Juniperetum excelsae ass. nov., Lonicero ibericae-Juniperetum excelsae ass. nov., Rhamno pallasii-Juniperetum excelsae ass. nov., Rhamno p.-Juniperetum e. ajugetosum chamaecisti subass. nov., Rhamno p.-Juniperetum excelsae gypsophiletosum aretioidis subass. nov., Amygdalo lycioidis-Pistacietum atlanticae hymenocratretosum bituminosoris Kashipazha et al. 2007, Feruletum ovinae ass. nov., Artemisio aucheri-Astragaletum veri Asri 2004, and Artemisio aucheri-Onobrychidetum cornutae ass. nov. The introduced juniper associations were placed in class Junipero-Pistacietea Zohary 1973 and order Juniperetalia excelsae nov.