optical fiber; Fast diagnostic methods; antibiogram; antibiotics resistance; phenotype
Villalba Maria I., Venturelli Leonardo, Willaert Ronnie, Vela Maria E., Yantorno Osvaldo, Dietler Giovanni, Longo Giovanni, Kasas Sandor (2021), Nanomotion Spectroscopy as a New Approach to Characterize Bacterial Virulence, in Microorganisms
, 9(8), 1545-1545.
Stupar Petar, Podolski-Renić Ana, Villalba Maria Ines, Dragoj Miodrag, Jovanović Stojanov Sofija, Pešić Milica, Kasas Sandor (2021), Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics, in Medicina
, 57(5), 446-446.
Kasas Sandor, Malovichko Anton, Villalba Maria Ines, Vela María Elena, Yantorno Osvaldo, Willaert Ronnie G. (2021), Nanomotion Detection-Based Rapid Antibiotic Susceptibility Testing, in Antibiotics
, 10(3), 287-287.
Zhou Jiangtao, Venturelli Leonardo, Keiser Ludovic, Sekatskii Sergey K., Gallaire François, Kasas Sandor, Longo Giovanni, Knowles Tuomas P. J., Ruggeri Francesco S., Dietler Giovanni (2021), Environmental Control of Amyloid Polymorphism by Modulation of Hydrodynamic Stress, in ACS Nano
, 15(1), 944-953.
Venturelli Leonardo, Kohler Anne‐Céline, Stupar Petar, Villalba Maria I., Kalauzi Aleksandar, Radotic Ksenija, Bertacchi Massimiliano, Dinarelli Simone, Girasole Marco, Pešić Milica, Banković Jasna, Vela Maria E., Yantorno Osvaldo, Willaert Ronnie, Dietler Giovanni, Longo Giovanni, Kasas Sandor (2020), A perspective view on the nanomotion detection of living organisms and its features, in Journal of Molecular Recognition
, 33(12), 1-14.
Willaert Ronnie G., Vanden Boer Pieterjan, Malovichko Anton, Alioscha-Perez Mitchel, Radotić Ksenija, Bartolić Dragana, Kalauzi Aleksandar, Villalba Maria Ines, Sanglard Dominique, Dietler Giovanni, Sahli Hichem, Kasas Sandor (2020), Single yeast cell nanomotions correlate with cellular activity, in Science Advances
, 6(26), eaba3139-eaba3139.
Voumard Margaux, Venturelli Leonardo, Borgatta Myriam, Croxatto Antony, Kasas Sandor, Dietler Giovanni, Breider Florian, von Gunten Urs (2020), Adaptation of Pseudomonas aeruginosa to constant sub-inhibitory concentrations of quaternary ammonium compounds, in Environmental Science: Water Research & Technology
, 6(4), 1139-1152.
Kannan Abhilash, Sanglard Dominique, Dietler Giovanni, Willaert Ronnie, Kasas Sandor, Kohler Anne-Céline, Venturelli Leonardo (2020), Yeast Nanometric Scale Oscillations Highlights Fibronectin Induced Changes in C. albicans, in Fermentation
, 6(1), 28-28.
Pantic Igor, Sarenac David, Cetkovic Mila, Milisavljevic Milan, Rakocevic Rastko, Kasas Sandor (2020), Silver Nanomaterials in Contemporary Molecular Physiology Research, in Current Medicinal Chemistry
, 27(3), 411-422.
Andrei Luca, Kasas Sandor, Ochoa Garrido Ignacio, Stanković Tijana, Suárez Korsnes Mónica, Vaclavikova Radka, Assaraf Yehuda G., Pešić Milica (2020), Advanced technological tools to study multidrug resistance in cancer, in Drug Resistance Updates
, 48, 100658-100658.
Kohler A.C., Venturelli L., Longo G., Dietler G., Kasas S. (2019), Nanomotion detection based on atomic force microscopy cantilevers, in The Cell Surface
, 5, 100021-100021.
Villalba María Ines, Stupar Petar, Chomicki Wojciech, Bertacchi Massimiliano, Dietler Giovanni, Arnal Laura, Vela María Elena, Yantorno Osvaldo, Kasas Sandor (2018), Nanomotion Detection Method for Testing Antibiotic Resistance and Susceptibility of Slow-Growing Bacteria, in Small
, 14(4), 1702671-1702671.
Kasas Sandor, Dietler Giovanni (2018), DNA-protein interactions explored by atomic force microscopy, in Seminars in Cell & Developmental Biology
, 73, 231-239.
We propose to develop a new rapid phenotypic based diagnostic test to characterize bacterial sensitivity to antibiotics. Beside molecular biology based methods, a phenotypic tool has the advantage not to rely on already known resistances or on the knowledge of the involved bacteria. The proposed technique is very fast compared to the actual available diagnostic tools, and we foresee that our device will give reliable complete antibiograms in a time span of an hour. This aspect is particularly important in the case of slow growing bacteria where the standard characterization technique might take up to 30 days (tuberculosis, bordetella). The proposed device is based on a patented nanomechanical detection of the movements that characterize living organism. The living specimens (bacteria in our case) are attached to a nano-mechanical sensor (optical fibre) and exposed to different antibiotics. The optical fibres sense the nanoscale movements of the bacteria and monitor online the bacterial response to the drugs. Our team has already shown that a wide range of bacteria types can be characterized with the proposed technology. In the present proposal we are aiming at delivering a multisensor device that can be employed in microbiology laboratories to test in parallel different antibiotics at varying concentrations to deliver a complete antibiotic susceptibility profile and that will be of easy manipulation. As a result medical doctors could immediately target an infected patients bacteria with the most appropriate antibiotic and avoid the use of large spectrum antibiotics that may lead to side effects and that are known to induce resistance. The present proposal includes also an important part dedicated to the collaboration with the CHUV Lausanne where the device will be tested in the microbiology laboratory under near hospital conditions. The long-term goal of this project is to build a fully automated device that can be routinely used in laboratories.