In vivo neurochemical measurements in cerebral tissues using a droplet-based monitoring system

Guillaume Petit-Pierre (), Philippe Colin, Estelle Laurer, Julien Déglon, Arnaud Bertsch, Aurélien Thomas, Bernard L. Schneider and Philippe Renaud
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Guillaume Petit-Pierre: Laboratory of Microsystems LMIS4, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Philippe Colin: Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Estelle Laurer: Lausanne University Hospital, Geneva University Hospitals
Julien Déglon: Lausanne University Hospital, Geneva University Hospitals
Arnaud Bertsch: Laboratory of Microsystems LMIS4, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Aurélien Thomas: Lausanne University Hospital, Geneva University Hospitals
Bernard L. Schneider: Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Philippe Renaud: Laboratory of Microsystems LMIS4, Ecole Polytechnique Fédérale de Lausanne (EPFL)

Nature Communications, 2017, vol. 8, issue 1, 1-8

Abstract: Abstract Direct collection of extracellular fluid (ECF) plays a central role in the monitoring of neurological disorders. Current approaches using microdialysis catheters are however drastically limited in term of temporal resolution. Here we show a functional in vivo validation of a droplet collection system included at the tip of a neural probe. The system comprises an advanced droplet formation mechanism which enables the collection of neurochemicals present in the brain ECF at high-temporal resolution. The probe was implanted in a rat brain and could successfully collect fluid samples organized in a train of droplets. A microfabricated target plate compatible with most of the surface-based detection methods was specifically developed for sample analysis. The time-resolved brain-fluid samples are analyzed using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The results provide a time evolution picture of the cerebral tissues neurochemical composition for selected elements known for their involvement in neurodegenerative diseases.

Date: 2017
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DOI: 10.1038/s41467-017-01419-1

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