18^th International Conference on Metabolomics & Systems Biology March 09-10, 2022 Barcelona, Spain

Biography:

 

Anil Batta is presently professor & Head with senior consultant in Govt. Medical College, Amritsar. He did his M.B.B.S. and M.D. in Medical Biochemistry from Govt. Medical College, Patiala in 1984 and 1991, respectively. His research interest is mainly in clinical application especially cancer and drug de-addiction. He has supervised more than 30 M.D., M.Sc. and Doctorate researches and published more than 150 international research papers. He is the chief editor of America’s Journal of Biochemistry. He is also working as advisor to the editorial board of International Journal of Biological and Medical Research. He has been deputed member Editorial Board of numerous International & National Medical Journals of Biochemistry. He has also been attached as technical advisor to various national and international conferences in Biochemistry. He has been attached as hi-tech endocrinal, genetics and automated labs of Baba Farid Univ. of Health Sciences, Faridkot. He has chaired various sessions in the Biochemistry meets. He has been designated as member Editorial Board of various in US and other European Courtiers. He is also involved in various research projects at Govt. Medical, Amritsar. He has done superspecialization in Drug-de-addiction from PGIMER, Chandigarh.

 

Abstract:

Metabolomics is the systematic identification and quantitation of all metabolites in a given organism or biological sample. The enhanced resolution provided by nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), along with powerful chemometric software, allows the simultaneous determination and comparison of thousands of chemical entities, which has lead to an expansion of small molecule biochemistry studies in bacteria, plants, and mammals. Continued development of these analytical platforms will accelerate the widespread use of metabolomics and allow further integration of small molecules into systems biology. Here, recent studies using metabolomics in xenobiotic metabolism and genetically modified mice are highlighted.

 

Biography:

Abstract:

An original approach was developed consisting of the development of monoclonal antibodies (Mab) against the most potent xenobiotic 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). The TCDD was adducted by the adipine fragment synthesized with the carrier protein. The Mab obtained allow to increase significantly a sensitivity of immunochemical quantitative analysis of TCDD amount in biological tissues, especially by using a time-resolved fluorimetry of the complex of the Mab with europium or another lanthanum element. That made possible to avoid very laborious and expensive HPLC/double mass spectrometry analysis of bio-concentrations of TCDD, which usually linked to TCDD ability to trans-activate key genes related to chronic inflammation and other toxic effects. The biological effects of TCDD can be defined strictly due to this ligand extremely strong binding to the its own Ah receptor, a mediator of all TCCD-activated transcriptional pathways. Therefore, the anti-ligand Mab obtained could be used for semi-quantitate assessment of TCDD-Ah receptor interactions (see the scheme). Selection of an antibody that binds to the idiotope outside the antigen binding site of the drug results in an antibody that can be used to detect both free and bound drug in the sample o Anti-idiotypic antibody o Detects total ligand (TCDD), free, partially bound, fully bound Moreover, the anti-TCDD Mab might serve a suitable immunogen to elicit anti-anti-ligand Mab via the idiotypic network. Whether the anti-idiotypic Mab binding to the Ah receptor to be completely inhibited by the ligand (TCDD), that might give an approach to more précised investigation of geometry and function of the Ah receptor binding site(s).

 

Biography:

Alzoubi has completed his PhD at the age of 40 years Tehran University and postdoctoral studies from Tehran University School of Surveying Geospatial Engineering-Department of Surveying and Geomatics Engineering. He is the director at the Directorate of Engineering and Transportation, a premier service organization. He has published more than 15 papers in reputed journals and has been serving as an editorial board member of repute. He Opening and studying the financial offers and the organization of the fundamental record, supervising the efficiency of electrical generators at Nseeb border center, and Supervising the efficiency of agricultural machinery at the ministry of agriculture

Abstract:

The aim of this work was to determine best linear model Adaptive Neuro-Fuzzy Inference System (ANFIS) and Sensitivity Analysis in order to predict the energy consumption for land leveling. In this research effects of various soil properties such as Embankment Volume, Soil Compressibility Factor, Specific Gravity, Moisture Content, Slope, Sand Percent, and Soil Swelling Index in energy consumption were investigated. The study was consisted of 90 samples were collected from 3 different regions. The grid size was set 20 m in 20 m (20*20) from a farmland in Karaj province of Iran. The values of RMSE and R2 derived by ICA-ANN model were, to Labor Energy (0.0146 and 0.9987), Fuel energy (0.0322 and 0.9975), Total Machinery Cost (0.0248 and 0.9963), Total Machinery Energy (0.0161 and 0.9987) respectively, while these parameters for multivariate regression model were, to Labor Energy (0.1394 and 0.9008), Fuel energy (0.1514 and 0.8913), Total Machinery Cost (TMC) (0.1492 and 0.9128), Total Machinery Energy (0.1378 and 0.9103).Respectively, while these parameters for ANN model were, to Labor Energy (0.0159 and 0.9990), Fuel energy (0.0206 and 0.9983), Total Machinery Cost (0.0287 and 0.9966), Total Machinery Energy (0.0157 and 0.9990) respectively, while these parameters for Sensitivity analysis model were, to Labor Energy (0.1899 and 0.8631), Fuel energy (0.8562 and 0.0206), Total Machinery Cost (0.1946 and 0.8581), Total Machinery Energy (0.1892 and 0.8437) respectively, respectively, while these parameters for ANFIS model were, to Labor Energy (0.0159 and 0.9990), Fuel energy (0.0206 and 0.9983), Total Machinery Cost (0.0287 and 0.9966), Total Machinery Energy (0.0157 and 0.9990) respectively, Results showed that ICA_ANN with seven neurons in hidden layer had better. According to the results of Sensitivity Analysis, only three parameters; Density, Soil Compressibility Factor and, Embankment Volume Index had significant effect on fuel consumption. According to the results of regression, only three parameters; Slope, Cut-Fill Volume (V) and, Soil Swelling Index (SSI) had significant effect on energy consumption. Using adaptive neuro-fuzzy inference system for prediction of labor energy, fuel energy, total machinery cost, and total machinery energy can be successfully demonstrated.

Biography:

Sher Ali completed his BSc in Microbiology from the Faculty of Health Sciences, Hazara University, Mansehra, Pakistan in 2011. After completion of his degree, he has joined the SRSP (Sarhad Rural Support Program) as a Health Promotion and Research Officer and working till date.

 

Abstract:

The study was carried out in Hazara University, Mansehra, Pakistan in 2011 on the antimicrobial activity of honey against specific microbes which include like E. coli, Salmonella, Staphylococcus aureus, Enterococcus faecalis and Candida albican. During the study the 37 honey samples were collected from different district of Hazara division and Malakand division like Mansehra Swat and Dir were selected for the samples collection. For the samples collection process 170 indoor and outdoor patients were visited. The microorganisms were isolated from the various samples collected from the patients having the confirmed infection which were further processed in the microbiology laboratory by using nutrient agar incubated on 37 ^oC for 24 hours. During the research work agar well plate technique were used to examine the maximum zone of inhibition on Muller Hinton agar against all the specified organisms. Result showed that E. coli showed 66 mm, Salmonella Typhi 62 mm, Enterococcus faecalis 60 mm, Candida albican 50 mm and Staphylococcus aureus 38 mm. From the study it is concluded that honey is used against different diseases and infections like wound infection, diarrhea, dehydration, paralysis, enterococcus faecalis, chest infection, jaundice, tuberculosis and Urinary tract infections.

 

Biography:

Xianfang YUE has completed her PhD at 2007 year from University of Science and Technology Beijing and postdoctoral studies from University of Birmingham. She is an Associate Professor at the University of Science and Technology Beijing, China. She has a combination of education and work experience to more than 10 years and achieved a high level of research and teaching, including publishing 4 books, publishing over 40 papers, awarded 3 national patents of invention and being awarded second prize of the Provincial Science and Technology Progress. She has a wide experience of project management skills to successfully complete research projects.

 

Abstract:

For metabolic syndrome and many other health issues, the brain plays a central role in controlling metabolic physiology in that it integrates information from other metabolic organs, sends regulatory projections and orchestrates the whole-body function for devastating diseases such as cardiovascular diseases, stroke and cancers. Emerging neurology studies suggest that brain dysfunction in sensing various internal cues or processing external cues may have profound effects on metabolic and other physiological functions. This research explores the brain-FSI-skull interfacing and modelling, dynamic brain mapping to optimization through identifying individualized biomarkers of disease, mechanisms underlying the therapeutic effects of neuromodulation in neurological and neuropsychiatric conditions using modelling and functional imaging techniques, closed loop control, and intracranial interventions that optimize current therapies in existing patient populations, implement new approaches and techniques, explore new targets, and define new disease populations. We also speculate key issues that need to be addressed on how to reveal relevant brain dysfunction that underlines the development of these disorders and diseases in order to develop new treatment strategies against these health problems. So as to decide the molecular signaling pathways through which the brain and the gastrointestinal system communicate to govern energy homeostasis, combined with emerging insights on the molecular mechanisms underlying successful surgery, gives reason to be optimistic that novel precision medicines that mimic, enhance, and/or modulate gut-brain signaling can have unprecedented potential for stopping various pandemics.