Dietary Biomarkers


WCCRB-2018 Dietary Biomarkers

Traditional methods for assessing dietary exposure can be unreliable, with under reporting one of the main problems. In an attempt to overcome such problems there is increasing interest in identifying biomarkers of dietary intake to provide a more accurate measurement. Metabolomics is an analytical technique that aims to identify and quantify small metabolites. Recently, there has been an increased interest in the application of metabolomics coupled with statistical analysis for the identification of dietary biomarkers, with a number of putative biomarkers identified. Dietary biomarkers rule out this problem, and highlight that dietary suggestions to avoid red meat and saturated fat and increase uptake of plant-based oils and whole grains seems to hold it true, at least in this group of women.

Diet is an important factor assessing point in developing type 2 diabetes whole grains, vegetable oils and good vitamin E status found to be primary aspects against type 2 diabetes, whereas saturated fat and meat increased the chances for developing the disease. It was very fortunate that researchers were able to reach these conclusions without having any additional data on diet through the subjects.

 Down the line blood samples were collected, where a unique metabolic fingerprint, including many different diet biomarkers, could be linked to each woman at the specific time the sample was taken. Using this method it was possible for the first time to objectively determine the impact of key dietary components on future type 2 diabetes risks, as well as to compare the dietary patterns between women having and without having type 2 diabetes. The new method has allowed scientists to measure several markers of diet and nutrient status at the same time in a large number of people, which they believed is the pioneering one in this area.

The role of diet is generally discussed as a preventative strategy for developing type 2 diabetes, this new research provides strong evidence for dietary guidelines, and underlines the significance of changing diet to improve health. Collecting information about diet can be complicated and time consuming, and is always biased by what people remember and think they should report. New methods such as this shall contribute to recover how we measure diet and understand in more detail how dietary patterns relate to disease.

To have more information about the dietary biomarkers please join our conference. Clinical Research and Biomarkers (WCCRB-2018) which is during September 17-18, 2018 at Toronto, Canada
Link: http://scientificfederation.com/clinical-research-2018/

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Biomarkers in the Health and Depression Disorder


WCCRB-2018




Biomarkers are used in all health fields to aid in the diagnosis of illnesses. By definition, biomarkers are a measurable substance that is an indicator of a distinct disease, infection, or environmental exposure.  Biomarkers include ions, genetic markers, proteins, and structural abnormalities. Mental health scientists are currently working on many different biomarkers in order to help define, identify, and effectively treat mental illnesses. A biomarker in mental health is blood testing and urine sampling, which is now being used to detect disorders such as Alzheimer’s disease and Major Depressive Disorder.

The next most common form of depression is Low-Folate depression folate is one of the B-vitamins. Folaters’ primary job is to convert B12 Vitamin into a different form so it can be used in DNA synthesis. Foliate is also involved in cell growth. There is a specific form of folate that has access to the brain. This specific kind of Folate, known as Methylfolate, and it is involved in the synthesis of Serotonin as well as other neurotransmitters.  By administering this Folate to individuals suffering from depression, it will create more Serotonin in the brain and ultimately aid in alleviating symptoms.
Biomarkers of treatment response may enable clinicians to target the appropriate drug for each patient. Biomarkers need to have accuracy in real life, sensitivity, specificity, and relevance to depression. Introduction of Depressive Disorder biomarkers into the health care system can increase the overall cost of clinical diagnosis of patients. Because of that, decisions to allocate health research funding must be based on drug effectiveness and cost-effectiveness. The assessment of Depressive Disorder biomarkers should include reliable evidence of associated drug effectiveness, adverse events and consequences. To have the discussions about the Biomarkers in the health and depression disorder of Clinical Research and Biomarkers (WCCRB-2018) this is during September 17-18, 2018 at Toronto, Canada
Link : http://scientificfederation.com/clinical-research-2018/



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Clinical Bioinformatics and its role in Clinical research

                                 
Clinical Research and Biomakers

 Scientific Federation invites all the participants from all over the world to attend 2nd World Congress on Clinical Research & Biomarkers during September 17-18, 2018 Toronto, Canada. 
Computational learning is the discovery of new knowledge about health and disease. In Bioinformatics methods in clinical research experts examine the latest developments in the area of cancer, AIDS, HIV, HBV etc., this research helps for clinical diagnosis, prognosis and there is the peptic purpose. It also helps in selecting the appropriate tool to analyze the data obtained from the technique for clinical research validation.  Bioinformatics nowadays helps in clinical research by developing universal human genome database. In 1998, experiments were conducted on “Expressed Sequence tags” (EST) in human stem cells Bioinformatics. 10,000 sequences were analyzed using these methodologies in genomics, proteomics, metabolomics, drug biomarkers, dermatology and clinical quality care. The sequencing of the database varied and it was identified that few sequences showed already know sequence database. Some showed previously identified with public domino sequence. Others were undescribed. Few also showed mitochondrial DNA, Ribosomal DNA. Thus, applications for bioinformatics are Identification of genomic medicine (EMR’S, PHR’S), Pharmacogenomic Biomarkers (CYP2D6, OATP181, UGTIAI, and TPMT) and Analysis of omitting data. The term “Clinical Bioinformatics” is the “Clinical application of bioinformatics associate sciences and technologies to understand molecular mechanism and potential therapies for human diseases”, a new and important concept for the development of the disease. We are having solid evidence that the generation and expansion of genomic, transcriptomic and proteomic data from human studies by high throughput biotechnologies have increased enormously. In the same way, clinical measurements and examined information are elevated by the development of advanced clinical devices.

Clinical bioinformatics plays an important role in many numbers of clinical applications, metabolic and signaling pathways, biomarker discovery, genomics, proteomics, human tissue bank and profiling, and systems biology. This way we could summarize the high potentialities of Bioinformatics in a various field based on the sequencing information and referring the sequenced database.

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