Biomarker Characterization and Prediction of Virulence and Antibiotic Resistance from Helicobacter pylori Next Generation Sequencing Data.
Joana S VitalLuís TanoeiroRicardo Lopes-OliveiraFilipa F ValePublished in: Biomolecules (2022)
The Gram-negative bacterium Helicobacter pylori colonizes c.a. 50% of human stomachs worldwide and is the major risk factor for gastric adenocarcinoma. Its high genetic variability makes it difficult to identify biomarkers of early stages of infection that can reliably predict its outcome. Moreover, the increasing antibiotic resistance found in H. pylori defies therapy, constituting a major human health problem. Here, we review H. pylori virulence factors and genes involved in antibiotic resistance, as well as the technologies currently used for their detection. Furthermore, we show that next generation sequencing may lead to faster characterization of virulence factors and prediction of the antibiotic resistance profile, thus contributing to personalized treatment and management of H. pylori -associated infections. With this new approach, more and permanent data will be generated at a lower cost, opening the future to new applications for H. pylori biomarker identification and antibiotic resistance prediction.
Keyphrases
- helicobacter pylori
- human health
- gram negative
- pseudomonas aeruginosa
- escherichia coli
- staphylococcus aureus
- helicobacter pylori infection
- antimicrobial resistance
- biofilm formation
- multidrug resistant
- risk assessment
- copy number
- electronic health record
- endothelial cells
- squamous cell carcinoma
- big data
- climate change
- cystic fibrosis
- gene expression
- genome wide
- combination therapy
- artificial intelligence
- label free
- rectal cancer
- locally advanced
- deep learning
- bone marrow
- circulating tumor cells