13th International Conference on Metabolomics and Systems Biology (CSE) S
08:00 - 17:00
13th International Conference on Metabolomics and Systems Biology
13th International Conference on Metabolomics and Systems Biology scheduled to be held during October 11-12, 2018 in Zurich, Switzerland. This is a wonderful opportunity for the participants from the Universities and Organizations to network with the eminent Scientists. The theme of the conference is “Metabolomics: An emerging tool for understating cellular metabolites”.
Euro Metabolomics 2018 will be a platform to investigate on recent research and advancements that can be useful to the researchers. Metabolomics is a rapidly emerging field to identify and quantify cellular metabolites of a biological system at a particular point of time by using sophisticated analytical techniques. Most recent innovations covered in the conference are Metabolomic Modelling and Drug Design, Precision Medicine, NMR, LC-MS, GC-MS, Mass Spectrometry, UPLC and Ion mobility spectrometry analytical methods, Targeted Metabolomics, Biomarker Metabolomics, Cancer Metabolomics, Metabolomic Profiling, Metabolomic Fingerprinting, Lipidomics, Data analysis using Systems Biology approach.
Track 1: Metabolomics
It is the large-scale study of small molecules, commonly known as metabolites, within cells, bio fluids, tissues or organisms. Collectively, these small molecules and their interactions within a biological system are known as the metabolome. Metabolomics represents the molecular phenotype. Four conceptual approaches in metabolomics - target analysis, metabolite profiling, metabolomics, and metabolic fingerprinting. Target analysis includes the determination and quantification of a small set of known metabolites (targets) using one of the specific analytical technique of best performance. On the other hand Metabolite profiling aims at the analysis of a larger set of compounds, both known and unknown with respect to their chemical nature. This approach has been applied for many different biological systems using GC-MS, including plants, microbes, urine, and plasma samples. Metabolomics employs complementary analytical methodologies, for example, LC-MS/MS, GC-MS, and/or NMR, in order to determine and quantify as many metabolites as possible, either identified or unknown compounds. The last approach is metabolic finger-printing.
Track 2: Cancer Metabolomics
Cancer is basically a metabolic disease. Cancer cells are different from normal cells as they show a distinct metabolic phenotype; they consume more glucose than normal cells. This glycolytic phenotype is known as the Warburg effect. The re-discovery of cancer as a metabolic disorder happened in the past ten years, this is due to the increased accessibility of metabolomics, identification of cancer metabolite biomarkers and the discovery of oncometabolites. Metabolomics application in the field of cancer research has led to the progress of metabolism in development of cancer. Cancer is a metabolic disease which changes the digestion system of the cell and encompassing milieu. Metabolomics in field of pharmaceuticals is turning into an inexorably mainstream instrument for life sciences as it is generally quick and also precise procedure this can be connected with either a specific centre or in a worldwide way to uncover new learning about organic frameworks.
Track 3: Diagnostic Biomarkers in Metabolomics
A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. A biomarker reveals further information to presently existing clinical and pathological analysis. It facilitates screening and detecting the disease, monitoring the progression of the disease, and predicting the diagnosis and survival after clinical intervention. A biomarker can also be used to evaluate the process of drug development, and, optimally, to improve the efficacy and safety of disease treatment by enabling physicians to tailor treatment for individual patients. These emerging biomarkers will be beneficial and critical in developing new and clinically reliable indicators that will have a high specificity for the diagnosis.
Track 4: Metabolic Modelling and Synthetic Biology
Synthetic Biology aims to create novel biological functions and systems not found in nature by combining biology with engineering. The workflow of the development of novel cell factories with synthetic biology is ideally linear which will be attainable with the quantitative engineering approach, high-quality predictive models, and libraries of well-characterized parts. Different types of metabolic models, mathematical representations of metabolism and its components, enzymes and metabolites, are useful in particular phases of the synthetic biology workflow.
Track 5: Clinical and Precision Medicine Metabolomics
The new field of precision medicine is revolutionizing current medical practice and reshaping future medicine. Precision medicine aspires to put the patient as the central driver of healthcare by broadening biological knowledge and acknowledging the greater diversity of individuals. It is well established that complex gene–environment interactions shape normal physiological and disease processes at both the individual and population scale. Predicting normal and pathological states in patients requires dynamic and systematic understanding of these interactions. Systems medicine is a new concept based on holistic approaches for disease diagnosis and monitoring.
Track 6: Metabolomics in Drug Discovery
Metabolomics is being used in Drug Discovery and in development from lead compound discovery to post approval drug surveillance. A consequence of disease leads to metabolic changes. These changes are the cause of disease advancement. Metabolomics can help in finding potential new sites for therapeutic intervention by identifying metabolic changes. Metabolomics can provide activity information about possible novel drugs and drug scaffolds, indicate interesting targets for drug development and suggest binding partners of compounds. Furthermore, metabolomics can be used for the discovery of novel natural products and in drug development. Metabolomics can enhance the discovery and testing of new drugs and provide insight into the on- and off-target effects of drugs.
Track 7: Edibilomics
Nutritional metabolomics is rapidly maturing to use small molecule chemical profiling to support integration of diet and nutrition in complex bio systems research. These developments are critical to facilitate transition of nutritional sciences from population-based to individual-based criteria for nutritional research, assessment and management. Utilizing metabolomics, scientists can quantitatively dissect non-hereditary variables that are included in post genomic and posttranscriptional change. Foodomics has been recently defined as a new discipline that studies food and nutrition domains through the application of advanced omics technologies in which MS techniques are considered indispensable. Applications of Foodomics include the genomic, transcriptomic, proteomic, and/or metabolomics study of foods for compound profiling, authenticity, and/or biomarker-detection related to food quality or safety; the development of new transgenic foods, food contaminants, and whole toxicity studies; new investigations on food bioactivity, food effects on human health.
Track 8: Lipidomics
Lipids are the important participant in control and regulation of cellular function. The diversity of chemical structure of these lipids is a major challenge for managing high volumes of complex data. The need for bioinformatics is to manage and integrate the experimental data in various aspects, such as, for lipid classification, ontologies, database design, analysis, and visual display. They play diverse roles in human physiology. Lipidomics is a growing field with numerous applications. For analysing different cell types ESI mass spectroscopy is used. Identification of lipid composition and quantification of cellular lipids gives us details about the lipid related pathway which also helps in identification of metabolic pathways and the effected enzymes.
Track 9: Plant and Environmental Metabolomics
Metabolomics is the analysis of low atomic mass metabolites inside a cell, tissue, or bio fluid. The sub control of environmental metabolomics is the application of metabolomics strategies to investigate the connections of life forms with their surroundings. Drug metabolism system is the procedure by which the body separates and changes over pharmaceutical into dynamic concoction substances. Toxicology is a branch of Medical Science that arrangements with the impacts of synthetic compound utilized as a part of the conclusion, treatment, or counteractive action of ailment or other unusual condition on the body. Plant Metabolomics is to characterise at sub atomic level of the total metabolite pool (metabolome) of plants under particular conditions. Metabolomics is used for a better understanding of the correlation between genes and the biochemical composition of a plant tissue in response to its environment can be obtained, and this information can be further used to assess gene function.
Track 10: Transcriptomics and Proteomics
The transcriptomics refers to study of transcriptome. The transcriptome is dynamic, as the levels of RNA transcripts vary during response to certain conditions in the cell or in different developmental stages of the cell. RNA- sequencing or Transcriptome sequencing is a next-generation sequencing (NGS)-based approach for RNA profiling and analysis. Proteomics refers to study of large-scale proteomes. Proteome is a set of proteins produced in an organism or biological environment. One of the Systems Biology’s important objectives is to understand the regulation of cell behavior. And important approaches involve are Measure of transcriptomic profiles through microarrays, RNA-seq etc. and Measure of proteomic profiles through techniques such as gel electrophoresis and mass spectrometry.
Track 11: Systems Biology
Systems biology is the mathematical and computational modelling of biological components, which may be molecules, cells, organisms or entire species. Living systems are complex and dynamic, and their activities are difficult to predict from the properties of individual parts. For studying all these, quantitative measurements of the behaviour of groups of interacting components are used and also technologies such as genomics, bioinformatics, proteomics, mathematical and computational models are used for describing and predicting dynamical behaviour.
Track 12: Computational Methodologies
Computational Biology is a rapidly emerging field, at the interface of computer science, arithmetic, physics and biology. It endeavours to study, analyse and understand complex biological systems by taking a corresponding integrated systems view using computational methodologies. The recent advances in sophisticated computational methodologies are high throughput techniques and computational power. The striking developments in biology and computer science are playing a key role in the fast progression of the evolving field. Computational systems biology provides a point of merging for genomics, proteomics, metabolomics and computational modelling.
Track 13: Analytical Techniques in Metabolomics
Metabolomics is the quantitative and qualitative study of small molecules. It is said to be an important technique in systems biology. Metabolites include a diverse group of low molecular weight structures such as lipids, nucleic acids, vitamins, amino acids, peptides, thiols, organic acids and carbohydrates, which makes analysis a big task. The recent development of analytical platforms, such as GC, HPLC, UPLC, CE coupled to MS and NMR spectroscopy, enables separation, detection, characterization and quantification of these metabolites and other related metabolic pathways. Because of the complexity of the metabolome and diverse properties of the metabolites, single analytical platform cannot be used for detecting all metabolites in a sample. The combined use of modern instrumental analytical approaches has led to the ideal outcomes, and is important for increasing the coverage of metabolites which cannot be achieved by single-analysis techniques. Integrated platforms are frequently being used for providing sensitive and reliable detection of thousands of metabolites in a bio fluid sample. Continuous development of these analytical platforms will accelerate extensive use and integration of metabolomics into systems biology.
Track 14: Recent Advancements in Metabolomics
The latest addition of “omics” disciplines is Metabolomics and it has shown rapid growth in the application to human health research because of major advancements in measurement and analysis techniques. Metabolomics has unique advantages in systems biology and biomarker discovery. The next generation of analysis techniques promises even richer and more complete analysis capabilities that will enable earlier clinical diagnosis, drug refinement, and personalized medicine. The advancements in methodologies and statistical analysis that are enhancing and improving the performance of metabolomics are presented along with highlights of some recent successful applications.
Track 15: Metabolomic Syndrome
Metabolic syndrome is a set of conditions such as increase in blood pressure, high blood sugar, excess body fat, and abnormal cholesterol or triglyceride levels all these symptoms occur together which in turn increases the risk of heart disease, diabetes and stroke. More than one of these conditions leads to increased risk. Metabolomics provides molecular information that has potential applications in understanding pathogenesis. It has been playing an important role in unravelling the pathophysiology and identifying early biomarkers of specific physiological responses of complex human diseases in particular metabolic syndrome.
Track 16: Metabolomic Devices
Metabolomics, alternately metabonomics, a growing field of biochemical exploration, is a reciprocal procedure to genomics, transcriptomics, and proteomics. Direct quantitative estimations of metabolite expressions in pee, serum, plasma, and tissue are crucial for the investigation of organic procedures in typical and illness states. Subsequent to the quantity of metabolites in a natural example is extensive partition science assumes an imperative part in metabolomic research. Atomic attractive reverberation (NMR) spectroscopy is especially capable for focused investigation since it is quantitative, reproducible, and suitable for complex examples, for example, blood, pee, or tissue removes with practically zero preparing. Thermo Fisher, AB SCIEX, and Bruker likewise offer instruments for imaging MS, additionally called MALDI imaging. To meet difficulties of searchability and information reconciliation, the metabolomics group has a few activities to build up information vaults. Cases are Metabolights in the United Kingdom, bolstered by the European COSMOS (COordination of Standards in MetabOlomicS) consortium that is creating metabolomics information norms, and Metabolomics Workbench, which means to be the database for NIH-subsidized metabolomics ventures.
Track 17: Disease-Focused Research in Metabolomics
They are a vital direct source of confirmation in pharmaceutical and a device regularly utilized as a part of practice to craft data and create a more extended quest for proof. A decent case report will be vibrant about the significance of the perception being accounted for. In addition to the “evidence of what happened”, single or multiple cases are an important origin for further and more advanced research on diagnosis, treatment adequacy, reasons and results of ailment. Case reports might be first to give signs in differentiating another ailment or unfriendly wellbeing impact from a presentation.
Scope and Importance:
Metabolomics is the quantitative and qualitative study of small molecules. It is said to be an important technique in systems biology. The purposes of metabolomics is accurate detection of disease, such as inflammation, necrosis, estimation of toxicity in newly designed drugs, Alzheimer’s, drug testing and interpreting biochemical pathways. Greater than 95% of clinical diagnostic assays tests are for small molecules. From pre-existing metabolites 50% of the drugs are derived from known small molecule drugs.
Metabolomics Market Analysis:
The global metabolomics market is expected to grow at a CAGR of 26% from 2016 to 2021 to reach USD 3.53 Billion by 2021.The metabolomics market has significant growth mainly due to the increasing necessity for accurate diagnosis of diseases, development of innovative technologies, and increasing demand for precision medicine.
Europe is the second largest Market in the world with a share of ~38% of the global market. The presence of a large number of analytical equipment manufacturers has contributed significantly to the European metabolomics market. The APAC market is expected to grow at a CAGR of 23% during the forecast period.
Zurich is the most populous city in the Switzerland. Zurich is a leading global city, with strengths in the arts, commerce, education, entertainment, fashion, finance, healthcare, media, professional services, research and development, tourism, and transport all contributing to its prominence. It is one of the world's leading financial centres and has the fifth-or sixth-largest metropolitan area GDP in the world depending on measurement. It is the world's most-visited city as measured by international arrivals and has the world's largest city airport system measured by passenger traffic.Zurich is the world's leading investment destination, hosting more international retailers and ultra-high net-worth individuals than any other city. Zurich's 43 universities form the largest concentration of higher education institutes in Europe, and a 2014 report placed it first in the world university rankings.
Along with professional services, media companies are concentrated in Zurich and the media distribution industry is Zurich’s second most competitive sector. Switzerland Life Sciences market had total revenue of £30.7bn in 2015.
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