Type 2 diabetes TCF7L2 risk genotypes alter birth weight: a study of 24,053 individuals

The role of genes in normal birth-weight variation is poorly understood, and it has been suggested that the genetic component of fetal growth is small. Type 2 diabetes genes may influence birth weight through maternal genotype, by increasing maternal glycemia in pregnancy, or through fetal genotype, by altering fetal insulin secretion. We aimed to assess the role of the recently described type 2 diabetes gene TCF7L2 in birth weight. We genotyped the polymorphism rs7903146 in 15,709 individuals whose birth weight was available from six studies and in 8,344 mothers from three studies. Each fetal copy of the predisposing allele was associated with an 18-g (95% confidence interval [CI] 7-29 g) increase in birth weight (P=.001) and each maternal copy with a 30-g (95% CI 15-45 g) increase in offspring birth weight (P=2.8x10-5). Stratification by fetal genotype suggested that the association was driven by maternal genotype (31-g [95% CI 9-48 g] increase per allele; corrected P=.003). Analysis of diabetes-related traits in 10,314 nondiabetic individuals suggested the most likely mechanism is that the risk allele reduces maternal insulin secretion (disposition index reduced by ~0.15 standard deviation; P=1x10-4), which results in increased maternal glycemia in pregnancy and hence increased offspring birth weight. We combined information with the other common variant known to alter fetal growth, the -30G-->A polymorphism of glucokinase (rs1799884). The 4% of offspring born to mothers carrying three or four risk alleles were 119 g (95% CI 62-172 g) heavier than were the 32% born to mothers with none (for overall trend, P=2x10-7), comparable to the impact of maternal smoking during pregnancy. In conclusion, we have identified the first type 2 diabetes-susceptibility allele to be reproducibly associated with birth weight. Common gene variants can substantially influence normal birth-weight variation.     

Attitudes in China toward the use of animals in laboratory research

Public support is a strong impetus for the adoption of alternatives to laboratory animals. It is therefore important to find out what a society thinks about ethical animal use. In the case of China, a useful line of enquiry was to survey Chinese people's as their country is renowned for the deplorable conditions under which animals are kept. This report concerns an investigation into the attitudes of Chinese university students toward the use of animals in laboratory research. The survey revealed a moderate concern amongst students; for example, they agreed that the use of animals for testing cosmetics and household products is unnecessary and should be stopped, and disagreed that humans have the right to use animals as they see fit. This finding is very encouraging. Further research is needed, in order to understand Chinese views about the justification of using animals in research.     

A reevaluation of the roles of hexokinase I and II in the heart

Hexokinase is responsible for glucose phosphorylation, a process fundamental to regulating glucose uptake. In some tissues, hexokinase translocates to the mitochondria, thereby increasing its efficiency and decreasing its susceptibility to product inhibition. It may also decrease free radical formation in the mitochondria and prevent apoptosis. Whether hexokinase translocation occurs in the heart is controversial; here, using immunogold labeling for the first time, we provide evidence for this process. Rat hearts (6 groups, n = 6/group), perfused with either glucose- or glucose + oleate (0.4 mmol/l)-containing buffer, were exposed to 30-min insulin stimulation, ischemia, or control perfusion. Hexokinase I (HK I) and hexokinase II (HK II) distributions were then determined. In glucose-perfused hearts, HK I-mitochondrial binding increased from 0.41 +/- 0.04 golds/mm in control hearts to 0.71 +/- 0.10 golds/mm after insulin and to 1.54 +/- 0.38 golds/mm after ischemia (P < 0.05). Similarly, HK II-mitochondrial binding increased from 0.16 +/- 0.02 to 0.53 +/- 0.08 golds/mm with insulin and 0.44 +/- 0.07 golds/mm after ischemia (P < 0.05). Under basal conditions, the fraction of HK I that was mitochondrial bound was five times greater than for HK II; insulin and ischemia caused a fourfold increase in HK II binding but only a doubling in HK I binding. Oleate decreased hexokinase-mitochondrial binding and abolished insulin-mediated translocation of HK I. Our data show that mitochondrial-hexokinase binding increases under insulin or ischemic stimulation and that this translocation is modified by oleate. These events are isoform specific, suggesting that HK I and HK II are independently regulated and implying that they perform different roles in cardiac glucose regulation.     

Drosophila melanogaster, a model system for comparative studies on the responses to real and simulated microgravity

A key requirement to enhance our understanding of the response of biological organisms to different levels of gravity is the availability of experimental systems that can simulate microgravity and hypergravity in ground-based laboratories. This paper compares the results obtained from analysing gene expression profiles of Drosophila in space versus those obtained in a random position machine (RPM) and by centrifugation. The correlation found validates the use of the RPM simulation technique to establish the effects of real microgravity on biological systems. This work is being extended to investigate Drosophila development in another gravity modifying instrument, the levitation magnet.     

MPP: a microarray-to-phylogeny pipeline for analysis of gene and marker content datasets

MPP is a Java application, encompassing both new and established algorithms, for the analysis of gene and marker content datasets arising from high-throughput microarray techniques. MPP analyses flat file output from microarray experiments to determine the probability of the presence or absence of genes or markers within a genome. MPP can construct gene or marker content datasets for a number of genomes and can use the data to estimate an evolutionary tree or network. Results from gene content analyses may be validated by comparing them to known gene contents. MPP was initially developed to analyse data derived from comparative genome hybridization (CGH) microarray experiments in fungi and bacteria. It has recently been adapted to analyse retrotransposon-based insertion polymorphism (RBIP) marker scores derived from tagged microarray marker (TAM) experiments in pea. New analytical procedures may be added easily to MPP as plugins in order to increase the scope of the software. AVAILABILITY: MPP source code, executables and online help are available at http://cbr.jic.ac.uk/dicks/software/     

The usefulness of the <Emphasis Type="Italic">gfp</Emphasis> reporter gene for monitoring <Emphasis Type="Italic">Agrobacterium</Emphasis>-mediated transformation of potato dihaploid and tetraploid genotypes

Potato is one of the main targets for genetic improvement by gene transfer. The aim of the present study was to establish a robust protocol for the genetic transformation of three dihaploid and four economically important cultivars of potato using Agrobacterium tumefaciens carrying the in vivo screenable reporter gene for green fluorescent protein (gfp) and the marker gene for neomycin phosphotransferase (nptII). Stem and leaf explants were used for transformation by Agrobacterium tumefaciens strain LBA4404 carrying the binary vector pHB2892. Kanamycin selection, visual screening of GFP by epifluorescent microscopy, PCR amplification of nptII and gfp genes, as well as RT-PCR and Southern blotting of gfp and Northern blotting of nptII, were used for transgenic plant selection, identification and analysis. Genetic transformation was optimized for the best performing genotypes with a mean number of shoots expressing gfp per explant of 13 and 2 (dihaploid line 178/10 and cv. ‘Baltica’, respectively). The nptII marker and gfp reporter genes permitted selection and excellent visual screening of transgenic tissues and plants. They also revealed the effects of antibiotic selection on organogenesis and transformation frequency, and the identification of escapes and chimeras in all potato genotypes. Silencing of the gfp transgene that may represent site-specific inactivation during cell differentiation, occurred in some transgenic shoots of tetraploid cultivars and in specific chimeric clones of the dihaploid line 178/10. The regeneration of escapes could be attributed to either the protection of non-transformed cells by neighbouring transgenic cells, or the persistence of Agrobacterium cells in plant tissues after co-cultivation.     

Modeling <Emphasis Type="Italic">Neisseria meningitidis</Emphasis> metabolism: from genome to metabolic fluxes

Background  

Neisseria meningitidis is a human pathogen that can infect diverse sites within the human host. The major diseases caused by N. meningitidis are responsible for death and disability, especially in young infants. In general, most of the recent work on N. meningitidis focuses on potential antigens and their functions, immunogenicity, and pathogenicity mechanisms. Very little work has been carried out on Neisseria primary metabolism over the past 25 years.     

The chicken as a model for embryonic development

The traditional strength of chicken embryos for studying development is that they are readily manipulated. This has led to some major discoveries in developmental biology such as the demonstration that the neural crest gives rise to almost the entire peripheral nervous system and the identification of signalling centres that specify the pattern of structures in the central nervous system and limb. More recently with the burgeoning discovery of developmentally important genes, chicken embryos have provided useful models for testing function. Uncovering the molecular basis of development provides direct links with clinical genetics. In addition, since many genes that have crucial roles in development are also expressed in tumours, basic research on chickens has implications for understanding human health and disease. Now that the chicken genome has been sequenced and genomic resources for chicken are becoming increasingly available, this opens up opportunities for combining these new technologies with the manipulability of chicken embryos and also exploiting comparative genomics.     

Understanding cisplatin resistance using cellular models

Many mechanisms of cisplatin resistance have been proposed from studies of cellular models of resistance including changes in cellular drug accumulation, detoxification of the drug, inhibition of apoptosis and repair of the DNA adducts. A series of resistant models were developed from CCRF-CEM leukaemia cells with increasing doses of cisplatin from 100 ng/ml. This produced increasing resistance up to 7-fold with a treatment dose of 1.6 microg/ml. Cisplatin resistance in these cells correlated with increases in the antioxidant glutathione, yet treatment with buthionine sulphoximine, an inhibitor of glutathione synthesis, had no effect on resistance, suggesting that the increase in glutathione was not directly involved in cisplatin resistance. Two models were developed from H69 SCLC cells, H69-CP and H69CIS200 using 100 ng/ml or 200 ng/ml cisplatin respectively. Both cell models were 2-4 fold resistant to cisplatin, and have decreased expression of p21 which may increase the cell's ability to progress through the cell cycle in the presence of DNA damage. Both the H69-CP and H69CIS200 cells showed no decrease in cellular cisplatin accumulation. However, the H69-CP cells have increased levels of cellular glutathione and are cross resistant to radiation whereas the H69CIS200 cells have neither of these changes. This suggests that increases in glutathione may contribute to cross-resistance to other drugs and radiation, but not directly to cisplatin resistance. There are multiple resistance mechanisms induced by cisplatin treatment, even in the same cell type. How then should cisplatin-resistant cancers be treated? Cisplatin-resistant cell lines are often more sensitive to another chemotherapeutic drug paclitaxel (H69CIS200), or are able to be sensitized to cisplatin with paclitaxel pre-treatment (H69-CP). The understanding of this sensitization by paclitaxel using cell models of cisplatin resistance will lead to improvements in the clinical treatment of cisplatin resistant tumours.