Real-world evidence on the effectiveness and safety of gliclazide MR 60 mg in Bangladeshi patients with Type II diabetes during fasting: a sub-analysis from the global DIA-RAMADAN study.

Aim: Many Muslims with Type II diabetes (T2DM) fast during Ramadan, which can put them at increased risk of hypoglycemia. This sub-analysis of the global DIA-RAMADAN study assessed the effectiveness and safety of gliclazide modified release (MR) 60 mg in the Bangladeshi cohort. Materials & methods: DIA-RAMADAN was an international, prospective, observational study conducted in adult T2DM patients intending to fast and receiving gliclazide MR 60 mg once daily for ≥90 days before Ramadan. Dosing was switched from morning to evening at the start of Ramadan. The primary outcome was the proportion of patients with ≥1 symptomatic hypoglycemic event. Secondary outcomes included changes between inclusion (V0) and end of study visit (V1) in glycated hemoglobin (HbA1c), body weight and fasting plasma glucose (FPG). Results: Among the 98 Bangladeshi patients, 80 (81.6%) were at moderate/low-risk (category 3) for fasting and 18 (18.4%) were high-risk (category 2), as per International Diabetes Federation and Diabetes and Ramadan International Alliance (IDF-DAR) guidelines. Gliclazide MR was being prescribed as monotherapy to 59 (60.2%) patients and in combination with metformin to 39 (39.8%). There was no incidence of severe hypoglycemic events. Mean (±SD) HbA1c change from V0 was -0.1 ± 0.8% (p = 0.159). Mean (±SD) changes in FPG and body weight were -0.8 ± 39.7 mg/dl (p = 0.876) and -0.0 ± 1.5 kg (p = 0.810), respectively. Conclusion: In a real-world setting, this sub-analysis in Bangladeshi patients shows that patients with T2DM treated with gliclazide MR 60 mg can fast safely during Ramadan with a very low risk of hypoglycemia, while maintaining glycemic control and body weight.

DOR - a Database of Olfactory Receptors - Integrated Repository for Sequence and Secondary Structural Information of Olfactory Receptors in Selected Eukaryotic Genomes.

Olfaction is the response to odors and is mediated by a class of membrane-bound proteins called olfactory receptors (ORs). An understanding of these receptors serves as a good model for basic signal transduction mechanisms and also provides important clues for the strategies adopted by organisms for their ultimate survival using chemosensory perception in search of food or defense against predators. Prior research on cross-genome phylogenetic analyses from our group motivated the addressal of conserved evolutionary trends, clustering, and ortholog prediction of ORs. The database of olfactory receptors (DOR) is a repository that provides sequence and structural information on ORs of selected organisms (such as Saccharomyces cerevisiae, Drosophila melanogaster, Caenorhabditis elegans, Mus musculus, and Homo sapiens). Users can download OR sequences, study predicted membrane topology, and obtain cross-genome sequence alignments and phylogeny, including three-dimensional (3D) structural models of 100 selected ORs and their predicted dimer interfaces. The database can be accessed from http://caps.ncbs.res.in/DOR. Such a database should be helpful in designing experiments on point mutations to probe into the possible dimerization modes of ORs and to even understand the evolutionary changes between different receptors.

DoSA: Database of Structural Alignments.

Protein structure alignment is a crucial step in protein structure-function analysis. Despite the advances in protein structure alignment algorithms, some of the local conformationally similar regions are mislabeled as structurally variable regions (SVRs). These regions are not well superimposed because of differences in their spatial orientations. The Database of Structural Alignments (DoSA) addresses this gap in identification of local structural similarities obscured in global protein structural alignments by realigning SVRs using an algorithm based on protein blocks. A set of protein blocks is a structural alphabet that abstracts protein structures into 16 unique local structural motifs. DoSA provides unique information about 159,780 conformationally similar and 56,140 conformationally dissimilar SVRs in 74 705 pairwise structural alignments of homologous proteins. The information provided on conformationally similar and dissimilar SVRs can be helpful to model loop regions. It is also conceivable that conformationally similar SVRs with conserved residues could potentially contribute toward functional integrity of homologues, and hence identifying such SVRs could be helpful in understanding the structural basis of protein function. Database URL: http://bo-protscience.fr/dosa/

Myosinome: a database of myosins from select eukaryotic genomes to facilitate analysis of sequence-structure-function relationships.

Myosins are one of the largest protein superfamilies with 24 classes. They have conserved structural features and catalytic domains yet show huge variation at different domains resulting in a variety of functions. Myosins are molecules driving various kinds of cellular processes and motility until the level of organisms. These are ATPases that utilize the chemical energy released by ATP hydrolysis to bring about conformational changes leading to a motor function. Myosins are important as they are involved in almost all cellular activities ranging from cell division to transcriptional regulation. They are crucial due to their involvement in many congenital diseases symptomatized by muscular malfunctions, cardiac diseases, deafness, neural and immunological dysfunction, and so on, many of which lead to death at an early age. We present Myosinome, a database of selected myosin classes (myosin II, V, and VI) from five model organisms. This knowledge base provides the sequences, phylogenetic clustering, domain architectures of myosins and molecular models, structural analyses, and relevant literature of their coiled-coil domains. In the current version of Myosinome, information about 71 myosin sequences belonging to three myosin classes (myosin II, V, and VI) in five model organisms (Homo Sapiens, Mus musculus, D. melanogaster, C. elegans and S. cereviseae) identified using bioinformatics surveys are presented, and several of them are yet to be functionally characterized. As these proteins are involved in congenital diseases, such a database would be useful in short-listing candidates for gene therapy and drug development. The database can be accessed from http://caps.ncbs.res.in/myosinome.