Biomachines for Medical Diagnosis

Francisco Santos Schneider1, Patrick Amar3, Asma Bahri1, Julien Espeut1, Julie Baptiste1, Mellis Alali1, Francois Fages2, Franck Molina1,*

1Sys2diag, CNRS Alcediag, Biological Complex system modeling and engineering for diagnosis, Cap delta/Parc euromédecine 1682 rue de la Valsière 34184 MONTPELLIER Cedex 4, France

2Inria, Saclay, Ile-de-France, Palaiseau, France

3LRI CNRS, Université Paris Sud, 91405 Orsay, France

Adv. Mater. Lett., 2020, 11 (4), 20041499

DOI: 10.5185/amlett.2020.041499

Publication Date (Web): Mar 24, 2020



Current evolutions in medical practices induce a change of paradigm with the convergence of diagnosis and therapy, going to precision medicine and “theranostics”. One can observe the new role of biomarkers in biomedical and therapeutic applications, for instance in the development of molecular multiplex biosensors (nucleic acid, proteins, and metabolites). In addition, there is an increasing interest for point-of-care (POC) and of home monitoring/testing technologies devoted to probe patient parameters in his direct environment. The obvious constraints for such a kind of new clinical practices are simplification, drastic cost reduction while keeping high performances. Within this context, synthetic biology provides new opportunities to develop a novel generation of biological biosensors able to perform multiplexed biomarkers detection, simple computation and returning simplified relevant results. In order to design robust synthetic biological biosensor systems reliable in a clinical context and based on biochemical circuits, we developed an original methodology ensuring biochemical implementation of logical tasks within nonliving artificial cells. This methodology covers in silico design, simulation, microfluidics production and clinical validation on human samples. It ends up in very simple assay like for instance the new insulin-resistance assay, which is also quick and easy to run out of a laboratory and at low cost.


Biomachine, synthetic biology, medical diagnosis, biomarkers, skillcell.

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