Computational Analysis of AMPK-Mediated Neuroprotection Suggests Acute Excitotoxic Bioenergetics and Glucose Dynamics Are Regulated by a Minimal Set of Critical Reactions

Loss of ionic homeostasis during excitotoxic stress depletes ATP levels and activates the AMP-activated protein kinase (AMPK), re-establishing energy production by increased expression of glucose transporters on the plasma membrane. Here, we develop a computational model to test whether this AMPK-mediated glucose import can rapidly restore ATP levels following a transient excitotoxic insult. We demonstrate that a highly compact model, comprising a minimal set of critical reactions, can closely resemble the rapid dynamics and cell-to-cell heterogeneity of ATP levels and AMPK activity, as confirmed by single-cell fluorescence microscopy in rat primary cerebellar neurons exposed to glutamate excitotoxicity. The model further correctly predicted an excitotoxicity-induced elevation of intracellular glucose, and well resembled the delayed recovery and cell-to-cell heterogeneity of experimentally measured glucose dynamics. The model also predicted necrotic bioenergetic collapse and altered calcium dynamics following more severe excitotoxic insults. In conclusion, our data suggest that a minimal set of critical reactions may determine the acute bioenergetic response to transient excitotoxicity and that an AMPK-mediated increase in intracellular glucose may be sufficient to rapidly recover ATP levels following an excitotoxic insult.     

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.     

Novel SCN5A variants identified in a group of Iranian Brugada syndrome patients

Brugada syndrome (BrS) is a rare hereditary arrhythmia syndrome that increases an individual’s risk for sudden cardiac death (SCD) due to ventricular fibrillation. This disorder is regarded as a notable cause of death in individuals aged less than 40 years, responsible for up to 40% of sudden deaths in cases without structural heart disease, and is reported to be an endemic in Asian countries. Mutations in SCN5A are found in approximately 30% of patients with Brugada syndrome. This study aimed to investigate mutations in the SCN5A gene in a group of Iranian Brugada syndrome patients. Nine probands (n = 9, male, mean age = 39) diagnosed with Brugada syndrome were enrolled in this study. Exon 2 to 29 were amplified by PCR and subjected to direct sequencing. Eight in silico prediction tools were used to anticipate the effects of non-synonymous variants. Seven known polymorphisms and 2 previously reported disease-causing mutations, including H558R and G1406R, were found in the studied cases. Twenty novel variants were identified: 15 missense, 2 frameshift, 2 synonymous, and one nonsense variants. In silico tools predicted 11 non-synonymous variants to have damaging effects, whereas frameshift and nonsense variants were considered inherently pathogenic. The novel variants identified in this study, alongside previously reported mutations, are highly likely to be the cause of the Brugada syndrome phenotype observed in the patient group. Further analysis is required to understand the physiological effects caused by these variants.

     

Bibliometric analysis of global scientific research on carbapenem resistance (1986–2015)

Background

Antimicrobial resistance is a global public health challenge and carbapenem resistance, in particular, is considered an urgent global health threat. This study was carried out to give a bibliometric overview of literature on carbapenem resistance. In specific, number of publications, top productive countries and institutes, highly cited articles, citation analysis, co-authorships, international collaboration, top active authors, and journals publishing articles on carbapenem resistance were analyzed and discussed.

Methods

Specific keywords pertaining to carbapenem resistance were used in Scopus database. Quantitative and qualitative analysis of retrieved data were presented using appropriate bibliometric indicators and visualization maps.

Results

A total of 2617 journal articles were retrieved. The average number of citations per article was of 21.47. The growth of publications showed a dramatic increase from 2008 to 2015. Approximately 9 % of retrieved articles on carbapenem resistance were published in Antimicrobial Agents and Chemotherapy journal. Retrieved articles were published by 102 different countries. The United States of America (USA) contributed most with 437 (16.70 %) articles followed by China with 257 (9.82 %) articles. When productivity was stratified by population size, Greece ranked first followed by France. Greece also ranked first when data were stratified by gross domestic product (GDP). Asian countries have lesser international collaboration compared with other countries in the top ten list. Five of top ten productive institutes were Europeans (France, the UK, Greece, Italy, and Switzerland) and two were Asians (China and South Korea). Other active institutes included an Israeli and a Brazilian institute. Four of the top ten cited articles were published in Antimicrobial Agents and Chemotherapy journal and two were published in The Lancet Infectious Diseases.

Conclusion

There was a dramatic increase in number of publications on carbapenem resistance in the past few years. These publications were produced from different world regions including Asia, Europe, Middle East, and Latin America. International collaboration needs to be encouraged particularly for researchers in Asia. Molecular biology and epidemiology dominated the theme of the top ten cited articles on carbapenem resistance. This bibliometric study will hopefully help health policy makers in planning future research and allocating funds pertaining to carbapenem resistance.

     

Model Comparison for Breast Cancer Prognosis Based on Clinical Data

We compared the performance of several prediction techniques for breast cancer prognosis, based on AU-ROC performance (Area Under ROC) for different prognosis periods. The analyzed dataset contained 1,981 patients and from an initial 25 variables, the 11 most common clinical predictors were retained. We compared eight models from a wide spectrum of predictive models, namely; Generalized Linear Model (GLM), GLM-Net, Partial Least Square (PLS), Support Vector Machines (SVM), Random Forests (RF), Neural Networks, k-Nearest Neighbors (k-NN) and Boosted Trees. In order to compare these models, paired t-test was applied on the model performance differences obtained from data resampling. Random Forests, Boosted Trees, Partial Least Square and GLMNet have superior overall performance, however they are only slightly higher than the other models. The comparative analysis also allowed us to define a relative variable importance as the average of variable importance from the different models. Two sets of variables are identified from this analysis. The first includes number of positive lymph nodes, tumor size, cancer grade and estrogen receptor, all has an important influence on model predictability. The second set incudes variables related to histological parameters and treatment types. The short term vs long term contribution of the clinical variables are also analyzed from the comparative models. From the various cancer treatment plans, the combination of Chemo/Radio therapy leads to the largest impact on cancer prognosis.     

Effects of Graded Inclusion of Bioactive Peptides Derived from Sesame Meal on the Growth Performance,Internal Organs,Gut Microbiota and Intestinal Morphology of Broiler Chickens

International Journal of Peptide Research and Therapeutics - The aim of this experiment was to evaluate the effects of bioactive peptides derived from sesame meal (BPSM) compared with...     

Tomato (Solanum lycopersicum) growth and fruit quality affected by organic fertilization and ozonated water

Protoplasma - The use of modern and safe techniques to increase plant growth and yield is of significance. There is little data, to our knowledge, on the use of organic fertilization and ozonated...     

Overexpression and optimization of glutamate decarboxylase in Lactobacillus plantarum Taj‐Apis362 for high gamma‐aminobutyric acid production

Gamma‐aminobutyric acid (GABA) is an important bioactive compound biosynthesized by microorganisms through decarboxylation of glutamate by glutamate decarboxylase (GAD). In this study, a full‐length GAD gene was obtained by cloning the template deoxyribonucleic acid to pTZ57R/T vector. The open reading frame of the GAD gene showed the cloned gene was composed of 1410 nucleotides and encoded a 469 amino acids protein. To improve the GABA‐production, the GAD gene was cloned into pMG36e‐LbGAD, and then expressed in Lactobacillus plantarum Taj‐Apis362 cells. The overexpression was confirmed by SDS‐PAGE and GAD activity, showing a 53 KDa protein with the enzyme activity increased by sevenfold compared with the original GAD activity. The optimal fermentation conditions for GABA production established using response surface methodology were at glutamic acid concentration of 497.973 mM, temperature 36°C, pH 5.31 and time 60 h. Under the conditions, maximum GABA concentration obtained (11.09 mM) was comparable with the predicted value by the model at 11.23 mM. To our knowledge, this is the first report of successful cloning (clone‐back) and overexpression of the LbGAD gene from L. plantarum to L. plantarum cells. The recombinant Lactobacillus could be used as a starter culture for direct incorporation into a food system during fermentation for production of GABA‐rich products.     

Time-course changes in fungal elicitor-induced lignan synthesis and expression of the relevant genes in cell cultures of Linum album

Linum album has been shown to accumulate anti-tumor podophyllotoxin (PTOX) and its related lignans. In the present study, we examined the effects of five fungal extracts on the production of lignans in L. album cell cultures. Fusarium graminearum extract induced the highest increase of PTOX [140μgg(-1) dry weight (DW) of the L. album cell culture] which is seven-fold greater than the untreated control, while Rhizopus stolonifer extract enhanced the accumulation of lariciresinol, instead of PTOX, up to 365μgg(-1) DW, which was 8.8-fold greater than the control. Quantitative PCR analyses showed that expression of the enzyme genes responsible for the PTOX biosynthesis cascade, such as pinoresinol-lariciresinol reductase (PLR), phenylalanine ammonia-lyase (PAL), cinnamoyl-CoA reductase (CCR) and cinnamyl-alcohol dehydrogenase (CAD) genes, were also up-regulated in a fungal extract-selective fashion. These results provide evidence that the fungal extracts used in this study differentially increase the production of PTOX or larisiresinol via the up-regulation of the genes in lignan biosynthesis in L. album cell cultures, and suggest that such selective actions of fungal elicitors on the lignan synthesis will lead to more efficient metabolic engineering-based production of PTOX and other beneficial lignans using L. album cell cultures.     

Cloning and Characterization of a Plasmid Encoded ACC Deaminase from an Indigenous Pseudomonas fluorescens FY32

In addition to the characterized mechanisms responsible for many direct effects of plant growth promoting bacteria (PGPB) on plants, it has been suggested that a number of PGPB contain the enzyme ACC deaminase that catalyzes degradation of 1-aminocyclopropane-1-carboxylic acid (ACC), the immediate precursor of ethylene, into α-ketobutyrate and ammonia. As part of an effort to obtain an ACC deaminase encoding gene from a collection of soil samples, only one bacterial isolate, Pseudomonas fluorescens FY32 was capable of growing on ACC as a sole source of nitrogen. The ACC deaminase gene was amplified from the above isolate by polymerase chain reaction (PCR) giving an expected DNA fragment, 1017 bp. Sequence analysis of the fragment showed that it was highly homologous (94% and 98% identities at nucleotide and amino acid levels, respectively) to the previously characterized acdS gene from Pseudomonas sp. 6G5. Furthermore, fusion of the ACC deaminase ORF with lacZ gene resulted in the expression of active enzyme in Escherichia coli. In addition, further analyses revealed that the acdS gene was plasmid-encoded so that a large plasmid (pFY32) with almost 50 kb in size was identified from this bacterium. Furthermore, transfer of pFY32 into E. coli DH5α proved its ACC deaminase activity. This result was in accordance with previous reports suggesting horizontal transfer of the acdS gene. However, it needs more investigation to identify whether this pFY32 plasmid has undergone lateral gene transfer during the evolutionary process.