PPARγ 基因与代谢综合征关系的研究进展

过氧化物酶体增殖物激活受体(PPARs)γ基因已被公认在调控脂肪细胞分化和多种代谢(糖、脂肪、能量代谢等)中起重要作用。它在脂肪、肌肉、肝脏等多种与胰岛素作用有关的组织中表达,并且具备激活后调控涉及葡萄糖的产生、转运、利用及脂肪代谢的调节等基因的表达。PPARγ基因在脂肪细胞分化、糖、脂代谢、动脉粥样硬化形成、炎性反应中起重要作用,从而与T2DM、胰岛素抵抗、肥胖症、心血管疾病和高血压等疾病的发病风险相关。本文综述了PPARγ基因的结构、功能及其多态性与代谢综合征关系的研究进展。     

植物基因表达的代谢调控

通过通过代谢物,激素和环境因素对植物几种基因表达的影响,就植物基因表达的代谢调控进行了讨论,提出了开展有关这方面研究的一些设想。     

代谢工程

代谢工程,也称途径工程,是基因工程一个重要分支,一般是多基因的基因工程,与细胞的基因调控、代谢调控和生化工程密切相关。讨论了代谢工程的应用,包括通过改变代谢流和代谢途径提高产量,改善生产过程,构建新的代谢途径和产生新的代谢产物等。     

Genetically constrained metabolic flux analysis

Significant progress has been made in using existing metabolic databases to estimate metabolic fluxes. Traditional metabolic flux analysis generally starts with a predetermined metabolic network. This approach has been employed successfully to analyze the behaviors of recombinant strains by manually adding or removing the corresponding pathway(s) in the metabolic map. The current work focuses on the development of a new framework that utilizes genomic and metabolic databases, including available genetic/regulatory network structures and gene chip expression data, to constrain metabolic flux analysis. The genetic network consisting of the sensing/regulatory circuits will activate or deactivate a specific set of genes in response to external stimulus. The activation and/or repression of this set of genes will result in different gene expression levels that will in turn change the structure of the metabolic map. Hence, the metabolic map will automatically "adapt" to the external stimulus as captured by the genetic network. This adaptation selects a subnetwork from the pool of feasible reactions and so performs what we term "environmentally driven dimensional reduction." The Escherichia coli oxygen and redox sensing/regulatory system, which controls the metabolic patterns connected to glycolysis and the TCA cycle, was used as a model system to illustrate the proposed approach.     

Prolonged liver-specific transgene expression by a non-primate lentiviral vector

Liver-directed gene therapy has the potential for treatment of numerous inherited diseases affecting metabolic functions. The aim of this study was to evaluate gene expression in hepatocytes using feline immunodeficiency virus-based lentiviral vectors, which may be potentially safer than those based on human immunodeficiency virus. In vitro studies revealed that gene expression was stable for up to 24 days post-transduction and integration into the host cell genome was suggested by Alu PCR and Southern blot analyses. Systemic in vivo administration of viral particles by the hydrodynamics method resulted in high levels of gene expression exclusively in the liver for over 7 months whereas injection of plasmid DNA by the same method led to transient expression levels. Our studies suggest that feline immunodeficiency-based lentiviral vectors specifically transduce liver cells and may be used as a novel vehicle of gene delivery for treatment of metabolic disease.     

In silico analysis of stomach lineage specific gene set expression pattern in gastric cancer

Stomach lineage specific gene products act as a protective barrier in the normal stomach and their expression maintains the normal physiological processes, cellular integrity and morphology of the gastric wall. However, the regulation of stomach lineage specific genes in gastric cancer (GC) is far less clear. In the present study, we sought to investigate the role and regulation of stomach lineage specific gene set (SLSGS) in GC. SLSGS was identified by comparing the mRNA expression profiles of normal stomach tissue with other organ tissue. The obtained SLSGS was found to be under expressed in gastric tumors. Functional annotation analysis revealed that the SLSGS was enriched for digestive function and gastric epithelial maintenance. Employing a single sample prediction method across GC mRNA expression profiles identified the under expression of SLSGS in proliferative type and invasive type gastric tumors compared to the metabolic type gastric tumors. Integrative pathway activation prediction analysis revealed a close association between estrogen-α signaling and SLSGS expression pattern in GC. Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. In conclusion, our results highlight that estrogen mediated regulation of SLSGS in gastric tumor is a molecular predictor of metabolic type GC and prognostic factor in GC.     

Visfatin: gene expression in isolated adipocytes and sequence analysis in obese WOKW rats compared with lean control rats

Recently, Fukuhara et al. have shown that the novel visfatin is predominantly released from visceral adipocytes and shares metabolic functions with insulin. The authors suggested that there is a relationship between visfatin and the metabolic syndrome in humans. These findings prompted us to clarify the visfatin gene expression from visceral and subcutaneous adipocytes in WOKW rats, as an animal model for polygenically inherited metabolic syndrome, compared to lean Dark Agouti (DA) rats. Moreover, visfatin sequence analysis was performed in WOKW, DA rats, and disease-resistant Fisher 344, Lewis, Brown Norway, and Karlsburg wild rats. The relative gene expression of visfatin displays no significant changes in adipocytes from WOKW rats compared with DA and visfatin sequence analysis of the coding region was identical to the GenBank. But, we found length differences of two repeats, GT and GA, in intron 2 between the strains. In summary, the relative visfatin gene expression is not associated with the metabolic syndrome in WOKW rats.     

Cellular redox poise modulation; the role of coenzyme Q10, gene and metabolic regulation

In this communication, the concept is developed that coenzyme Q₁₀ has a toti-potent role in the regulation of cellular metabolism. The redox function of coenzyme Q₁₀ leads to a number of outcomes with major impacts on sub-cellular metabolism and gene regulation. Coenzyme Q₁₀'s regulatory activities are achieved in part, through the agency of its localization in the various sub-cellular membrane compartments. Its fluctuating redox poise within these membranes reflects the cell's metabolic micro-environments. As an integral part of this process, H₂O₂ is generated as a product of the normal electron transport systems to function as a mitogenic second messenger informing the nuclear and mitochondrial (chloroplast) genomes on a real-time basis of the status of the sub-cellular metabolic micro-environments and the needs of that cell. Coenzyme Q₁₀ plays a major role both in energy conservation, and energy dissipation as a component of the uncoupler protein family. Coenzyme Q₁₀ is both an anti-oxidant and a pro-oxidant and of the two the latter is proposed as its more important cellular function. Coenzyme Q₁₀ has been reported, to be of therapeutic benefit in the treatment of a wide range of age related degenerative systemic diseases and mitochondrial disease. Our over-arching hypotheses on the central role played by coenzyme Q₁₀ in redox poise changes, the generation of H₂O₂, consequent gene regulation and metabolic flux control may account for the wide ranging therapeutic benefits attributed to coenzyme Q₁₀.     

Global gene expression in recombinant and non-recombinant yeast Saccharomyces cerevisiae in three different metabolic states

Global gene expression of two strains of Saccharomyces cerevisiae, one recombinant (P+), accumulating large amounts of an intracellular protein Superoxide Dismutase (SOD) and one non-recombinant (P−) which does not contain the recombinant plasmid, were compared in batch culture during diauxic growth when cells were growing exponentially on glucose, when they were growing exponentially on ethanol, and in the early stationary phase when glycerol was being utilized.When comparing the gene expression for P− (and P+) during growth on ethanol to that on glucose (Eth/Gluc), overexpression is related to an increase in consumption of glycerol, activation of the TCA cycle, degradation of glycogen and metabolism of ethanol. Furthermore, 97.6% of genes (80 genes) involved in the central metabolic pathway are overexpressed. This is similar to that observed by DeRisi et al. [DeRisi, J.L., Iyer, V.R. & Brown, P.O. 1997. Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278:680–686.] but very different from was observed for Metabolic Flux Analysis (MFA), where the specific growth rate is lowered to ca. 40%, the fluxes in the TCA cycle are reduced to ca. 40% (to 30% in P+), glycolysis is reduced to virtually 0 and protein synthesis to ca. 50% (to 40% in P+). Clearly it is not possible to correlate in a simple or direct way, quantitative mRNA expression levels with cell function which is shown by the Metabolic Flux Analysis (MFA).When comparing the two strains in the 3 growth stages, 4 genes were found to be under or overexpressed in all cases. The products of all of these genes are expressed at the plasma membrane or cell wall of the yeast. While comparing the strains (P+/P−) when growing on glucose, ethanol and in the early stationary phase, many of the genes of the central metabolic pathways are underexpressed in P+, which is similar to the behaviour of the metabolic fluxes of both strains (MFA). Comparing the gene expression for P− (and to some extent P+) during the early stationary phase to growth on ethanol (Stat/Eth), underexpression is generalized. This shows that the switch in metabolism between ethanol and early stationary phases has an almost instantaneous effect on gene expression but a much more retarded effect on metabolic fluxes and that the “early stationary” phase represents a “late ethanol” phase from the metabolic analysis point of view since ethanol is still present and being consumed although at a much slower rate.