Novel genes in the liver of diabetic Psammomys obesus

Type 2 diabetes mellitus is a metabolic disease characterised by defects in insulin secretion and insulin action and disturbances in carbohydrate, fat and protein metabolism. Hepatic insulin resistance contributes to hyperglycemia and also leads to disturbances in fat metabolism in type 2 diabetes. Psammomys obesus is a unique poly genie animal model of type 2 diabetes and obesity, ideally suited for studies examining physiological and genetic aspects of these diseases. To identify metabolic abnormalities potentially contributing to the obesity and diabetes phenotype in P. obesus, indirect calorimetry was used to characterise whole body energy expenditure and substrate utilisation. Lean-NGT, obese-IGT and obese-diabetic animals were examined in fed and fasted states and following 14 days of dietary energy restriction. Energy expenditure and fat oxidation were elevated in the obese-IGT and obese-diabetic groups in proportion to body weight. Glucose oxidation was not different between groups. Obese-diabetic P. obesus displayed elevated nocturnal blood glucose levels and fat oxidation. Following 14 days of dietary energy restriction, body weight was reduced and plasma insulin and blood glucose levels were normalised in all groups. Glucose oxidation was reduced and fat oxidation was increased. After 24 hours of fasting, plasma insulin and blood glucose levels were normalised in all groups. Energy expenditure and glucose oxidation were greatly reduced and fat oxidation was increased. Following either dietary energy restriction or fasting, energy expenditure, glucose oxidation and fat oxidation were not different between groups of P. obesus. Energy expenditure and whole body substrate utilisation in P. obesus was similar to that seen in humans. P. obesus responded normally to short term fasting and dietary energy restriction. Elevated nocturnal fat oxidation rates and plasma glucose levels in obese-diabetic P. obesus may be an important factor in the pathogenesis of obesity and type 2 diabetes in these animals. These studies have further validated P. obesus as an ideal animal model of type 2 diabetes and obesity. It was hypothesised that many genes in the liver of P. obesus involved in glucose and fat metabolism would be differentially expressed between lean-NGT and obese-diabetic animals. These genes may represent significant factors in the pathophysiology of type 2 diabetes. Two gene discovery experiments were conducted using suppression subtractive hybridisation (SSH) to enrich a cDNA library for differentially expressed genes. Experiment 1 used cDNA dot blots to screen 576 clones with cDNA derived from lean-NGT and obese-diabetic animals. 6 clones were identified as overexpressed in lean-NGT animals and 6 were overexpressed in obese-diabetic animals. These 12 clones were sequenced and SYBR-Green PCR was used to confirm differential gene expression. 4 genes were overexpressed (≥1.5 fold) in lean-NGT animals and 4 genes were overexpressed (≥1.5 fold) in obese-diabetic animals. To explore the physiological role of these genes, hepatic gene expression was examined in several physiological conditions. One gene, encoding thyroxine binding globulin (TBG), was confirmed as overexpressed in lean-NGT P. obesus with ad libitum access to food, relative to both obese-IGT and obese-diabetic animals. TBG expression decreased with fasting in all animals. Fasting TBG expression remained greater in lean-NGT animals than obese-IGT and obese-diabetic animals. TBG expression was not significantly affected by dietary energy restriction. TBG is involved in thyroid metabolism and is potentially involved in the regulation of energy expenditure. Fasting increased hepatic site 1 protease (SIP) expression in lean-NGT animals but was not significantly affected in obese-IGT and obese-diabetic animals. SIP expression was not significantly affected by dietary energy restriction. SIP is involved in the proteolytic processing of steroid response element binding proteins (SREBP). SREBPs are insulin responsive and are known to be involved in lipid metabolism. Gene expression studies found TBG and SIP were associated with obesity and diabetes. Future research will determine whether TBG and SIP are important in the pathogenesis of these diseases. Experiment 2 used SSH and cDNA microarray to screen 8064 clones. 223 clones were identified as overexpressed in lean-NGT P. obesus and 274 clones were overexpressed in obese-diabetic P. obesus (p ≤0.05). The 9 most significantly differentially expressed clones identified from the microarray screen were sequenced (p ≤0.01). 7 novel genes were identified as well as; sulfotransferase related protein and albumin. These 2 genes have not previously been associated with either type 2 diabetes or obesity. It is unclear why hepatic expression of these genes may differ between lean-NGT and obese-diabetic groups of P. obesus. Subsequent studies will explore the potential role of these novel and known genes in the pathophysiology of type 2 diabetes.

Identification and characterisation of novel genes involved in skeletal muscle hypertrophy

There is mounting evidence in support of the view that skeletal muscle hypertrophy results from the complex and coordinated interaction of numerous signalling pathways. Well characterised components integral to skeletal muscle adaptation include the transcriptional activity of the members of the myogenic regulatory factors, numerous secreted peptide growth factors, and the regenerative potential of satellite cells. Whilst studies investigating isolated components or pathways have enhanced our current understanding of skeletal muscle hypertrophy, our knowledge of how all of these components react in concert to a common stimulus remains limited. The broad aim of this thesis was to identify and characterise novel genes involved in skeletal muscle hypertrophy. We have created a customised human skeletal muscle specific microarray which contains ∼11,000 cDNA clones derived from a normalised human skeletal muscle cDNA library as well as 270 genes with known functional roles in human skeletal muscle. The first aspect of this thesis describes the production of the microarray and evaluates the robustness and reproducibility of this analytical technique. Study one aimed to use this microarray in the identification of genes that are differentially expressed during the forced differentiation of human rhabdomyosarcoma cells, an in vitro model of skeletal muscle development. Firstly using this unique model of aberrant myogenic differentiation we aimed to identify genes with previously unidentified roles in myogenesis. Secondly, the data from this study permitted the examination of the performance of the microarray in detecting differential gene expression in a biological system. We identified several new genes with potential roles in the myogenic arrest of rhabdomyosarcoma and further characterised the expression of muscle specific genes in rhabdomyosarcoma differentiation. In study two, the molecular responses of cell cycle regulators, muscle regulatory factors, and atrophy related genes were mapped in response to a single bout of resistance exercise in human skeletal muscle. We demonstrated an increased expression of MyoD, myogenin and p21, whilst the expression of myostatin was decreased. The results of this study contribute to the existing body of knowledge on the molecular regulation skeletal muscle to a hypertrophic stimulus. In study three, the muscle samples collected in study two were analysed using the human skeletal muscle specific microarray for the identification of novel genes with potential roles in the hypertrophic process. The analysis uncovered four interesting genes (TXNIP, MLP, ASB5, FLJ 38973) that have not previously been examined in human skeletal muscle in response to resistance exercise. The functions of these genes and their potential roles in skeletal muscle are discussed. In study four, the four genes identified in study three were examined in human primary skeletal muscle cell cultures during myogenic differentiation. Human primary skeletal muscle cells were derived from the vastus lateralis muscle of 8 healthy volunteers (6 males and 2 females). Cell cultures were differentiated using serum withdrawal and serum withdrawal combined with IGF-1 supplementation. Markers of the cell proliferation, cell cycle arrest and myogenic differentiation were examined to assess the effectiveness of the differentiation stimulus. Additionally, the expressions of TXNIP, MLP, ASB5 and FLJ 38973 measured in an attempt to characterise further their roles in skeletal muscle. The expression of TXNIP changed markedly in response to both differentiation stimuli, whilst the expression of the remaining genes were not altered. Therefore it was suggested that expression of these genes might be responsive to the mechanical strain or contraction induced by the resistance exercise. In order to examine whether these novel genes responded specifically to resistance type exercise, their expression was examined following a single bout of endurance exercise. The expression of TXNIP, MLP, and FLJ 38973 remained unchanged whilst ASB5 increased 30 min following the cessation of the exercise.

Regulation of fat oxidative genes in human skeletal muscle

The ability of skeletal muscle to adapt fat oxidation rates is important for human health. Lipid metabolism requires the involvement of many proteins encoded by their corresponding genes. This thesis demonstrates that manipulating plasma free fatty acid levels alters the expression of selected genes involved in regulating fatty acid metabolism.

Novel hypothalamic genes involved in body weight regulation in Psammomys obesus

Focuses on the discovery, characterisation and validation of a gene in the brain, named FIT, that regulates body weight. When suppressed in rats, food intake is inhibited and body weight is reduced. FIT regulates both appetite and metabolic rate, and is therefore a new and exciting target for obesity therapy.

The function of zinc transporter genes in human cells

Zinc is an essential nutrient for all living organisms and a deficiency may result in major health problems. This project provides insights into how zinc is processed by cells within the human body. The experiments also contribute to a better understanding of the molecular basis of zinc deficiency disorders. Novel procedures developed in this project may prove invaluable to the wider scientific community.

Factors regulating skeletal muscle fatty acid oxidative genes

Skeletal muscle is the most significant site for whole body fat utilisation. The ability to regulate fat use has a significant impact on the development of obesity and Type II diabetes. The studies conducted during this PhD provided significant insight into the complex molecular regulation of skeletal muscle fat utilisation.

Analysis of the Stat5 genes in zebrafish

This dissertation identified and characterised a key genetic regulator called Stat5 using zebrafish. Up-regulation of Stat5 led to an increase in blood cells, indicative of pre-leukaemia, whilst down-regulation decreased these cells and caused other defects. This work shows that Stat5 is critical in blood cell maturation and early embryonic development.

Influence of age and DNA damage on expression of damage-processing genes

The effect of DNA damaging agents and age on expression of damage-processing genes was examined in plants and mice. Treatment with these agents increased expression of some genes. The effect of gene expression in the absence of treatment decreased with age, suggesting links between ageing and genetic instability.

Identification of genes in the liver of Psammomys obesus associated with Type II diabetes

Type II diabetes is characterised by hyperglycemia and disturbances of fat, carbohydrate and protein metabolism. It occurs mainly in adults, with obesity being the most modifiable risk factor. This project utilised the Israeli Sand Rat (Psammomys obesus) and some of the latest molecular biology technology including differential display, membrane microarray and real-time PCR to detect genes in the liver that may be associated with the development of Type II diabetes and/or obesity. This study showed calpain, a proteolytic inhibitor and calpastatin, its natural inhibitor to be disregulated in the liver during the diabetic state.

Influence of age on expression of DNA repair genes in Arabidopsis

Numerous studies suggest that ageing in mammals may be associated with a reduction in DNA repair, whereas little is known about the DNA repair capacity of plants as they age. In this study we examined the effects of ageing on the expression of genes thought to be involved in nucleotide excision repair (AtERCC1, AtGTF2H2, AtGTF2H5, AtXPB1, AtXPD, AtXPF) or translesion replication (AtPOLH, AtREV1, AtREV3, AtUBC2) of UV photoproducts in Arabidopsis (Arabidopsis thaliana). Two- or four-week old plants were unirradiated or treated with 254 nm ultraviolet (UV) radiation (0.75 or 1.5 kJm^-2), incubated for 3 or 9 hr, and gene expression was analysed via quantitative PCR. With the exception of AtPOLH, transcript levels for all genes investigated were at least four-fold greater in unirradiated four-week old plants than unirradiated two-week old plants. Compared to unirradiated age-matched plants, two-week old plants generally showed no consistent change in transcript levels for either UV dose or post-irradiation incubation period. On the other hand, transcript levels in four-week old plants were increased over those in two-week old plants for the majority of genes by 9 hr post-irradiation with 0.75 or 1.5 kJm^-2 UV. No other consistent responses were observed for UV treatment. Collectively, our results are consistent with the possibility that ageing may be associated with increased DNA repair capacity in plants.

Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies

Background
Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems to predict disease genes in intervals previously associated with type 2 diabetes by benchmarking their performance against genes implicated by recent genome-wide association studies.

Results
Using a search space of 9556 genes, all but one of the systems pruned the genome in favour of genes associated with moderate to highly significant SNPs. Of the 11 genes associated with highly significant SNPs identified by the genome-wide association studies, eight were flagged as likely candidates by at least one of the prediction systems. A list of candidates produced by a previous consensus approach did not match any of the genes implicated by 706 moderate to highly significant SNPs flagged by the genome-wide association studies. We prioritized genes associated with medium significance SNPs.

Conclusion
The study appraises the relative success of several candidate gene prediction systems against independent genetic data. Even when confronted with challengingly large intervals, the candidate gene prediction systems can successfully select likely disease genes. Furthermore, they can be used to filter statistically less-well-supported genetic data to select more likely candidates. We suggest consensus approaches fail because they penalize novel predictions made from independent underlying databases. To realize their full potential further work needs to be done on prioritization and annotation of genes.