Life Sciences & Biotechnology
Title : | Estimating differential metabolic functionality in antibiotic-resistant Helicobacter pylori through integrated experimental and computational analysis |
Area of research : | Life Sciences & Biotechnology |
Principal Investigator : | Dr. Gollapalli Pavan, NITTE University, Mangaluru, Karnataka |
Timeline Start Year : | 2022 |
Timeline End Year : | 2025 |
Contact info : | gollapallipavan@nitte.edu.in |
Details
Executive Summary : | Helicobacter pylori is a microaerophilic bacterium that thrives in the presence of oxygen and is a slow-growing bacterial pathogen that causes lifelong infections in humans. It is found in about half of the world's population. Current therapeutic regimens are inefficient in the eradication of H. pylori due to antibiotic resistance, treatment compliance, and drug degradation by the acidic stomach environment. Antibiotic resistance to clarithromycin and metronidazole is particularly troublesome, and numerous solutions have been offered to address the problem, including Lactobacillus probiotic treatment. Antibiotic resistance requires a thorough understanding of microbial genomes and metabolic changes. Genome-scale metabolic models are a prominent tool for systems-level metabolic investigations because they provide vital insights into the development of metabolic gene content by displaying the mapping between genotype and phenotype for thousands of genes. Most of these models rely on transcriptome data, but a model based on multi-omics data is required to bridge the gap between transcriptomics and metabolomics. Changes in gene expression are not always associated with changes in metabolic activity, and changes in metabolite intensity are not always indicative of transcriptional regulation. As a result, the model must provide/serve as a comprehensive platform for simulating biological component interactions and predicting physiological responses. This proposal aims to better understand the association between antibiotic resistance and bacterial metabolism by proposing metabolic phenotypic profiles utilizing lab-evolved, antibiotic-resistant lineages of the opportunistic pathogen H. pylori. |
Total Budget (INR): | 18,30,000 |
Organizations involved