Descripción del proyecto
Estrategias antimicrobianas innovadoras
Se prevé que las enfermedades infecciosas aumenten el próximo año a causa de la resistencia a los antibióticos. En consecuencia, se necesitan urgentemente tecnologías revolucionarias para afrontar este desafío médico. El proyecto PEST-BIN, financiado con fondos europeos, reunirá el mundo académico con la industria para obtener nuevas herramientas de diagnóstico que puedan detectar una infección con la precisión y rapidez necesarias en un entorno clínico. Los análisis proteómicos con ayuda de la inteligencia artificial ofrecerán datos nuevos sobre los mecanismos de las infecciones bacterianas y desvelará nuevas dianas para el desarrollo de antibióticos. Además, los socios emplearán nanotecnologías con antibióticos para luchar contra las biopelículas bacterianas, una estructura inherentemente difícil de penetrar con fármacos.
Objetivo
The World Health Organisation named antibiotic resistance as one of the greatest threats to global health, predicting the advent of infections not responding to antibiotics. The humanity needs to pioneer disruptive technologies to re-gain the upper hand. To do so, PEST-BIN mobilized 5 universities, 3 institutes, a hospital and 5 private companies. We will fight infections with very diverse tools: from nano-engineering, antibiotic production, via proteomics-based diagnostics to big data analysis using artificial intelligence (AI). PEST-BIN will train ESRs in an interdisciplinary and intersectoral environment in these impact areas:
1) Diagnostics: Current diagnostic tools fail to meet the clinical requirements for high speed, throughput, accuracy, cost and simplicity of use. PEST-BIN will develop infection diagnostic kits based on graphene, that will be functionalized by receptors capturing infection biomarkers. Our chips will contain only pure carbon and biodegradable polymers – zero environmental footprint. They will be used as “plug-and-play” disposable chips with a micro-SD jack.
2) Infection mechanisms: MS proteomics has been extensively used to analyse infectious bacteria, but our understanding of infection mechanisms has not advanced much. PEST-BIN is taking two new directions: i) generate proteomics datasets more relevant, comprehensive and time-resolved and ii) use novel computational tools (based on AI) to analyse proteomics datasets. This will lead to new drug targets for development of antibiotics.
3) Killing biofilms: Dense extracellular matrix prevents drugs from reaching bacteria inside biofilms. This limited exposure enhances development of antibiotic tolerance. PEST-BIN will engineer magnetic nanoparticles (directed by magnetic field), spiked with antibacterial graphene coating which will be loaded with antibiotics. Such molecular “nano-weapons” will physically penetrate biofilms and ensure sustained delivery of antibiotics inside biofilms.
Ámbito científico
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- engineering and technologynanotechnologynano-materialstwo-dimensional nanostructuresgraphene
- natural sciencesbiological sciencesmicrobiologybacteriology
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsantibiotics
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Palabras clave
Programa(s)
Régimen de financiación
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinador
2800 Kongens Lyngby
Dinamarca