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A versatile bioelectronic interface programmed for hormone sensing.
Guha Ray, Preetam; Maity, Debasis; Huang, Jinbo; Zulewski, Henryk; Fussenegger, Martin.
Afiliación
  • Guha Ray P; ETH Zurich, Department of Biosystems Science and Engineering, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • Maity D; ETH Zurich, Department of Biosystems Science and Engineering, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • Huang J; ETH Zurich, Department of Biosystems Science and Engineering, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • Zulewski H; ETH Zurich, Department of Biosystems Science and Engineering, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • Fussenegger M; Division of Endocrinology, Diabetes and Metabolism, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
Nat Commun ; 14(1): 3151, 2023 05 31.
Article en En | MEDLINE | ID: mdl-37258547
ABSTRACT
Precision medicine requires smart, ultrasensitive, real-time profiling of bio-analytes using interconnected miniaturized devices to achieve individually optimized healthcare. Here, we report a versatile bioelectronic interface (VIBE) that senses signaling-cascade-guided receptor-ligand interactions via an electronic interface. We show that VIBE offers a low detection limit down to sub-nanomolar range characterised by an output current that decreases significantly, leading to precise profiling of these peptide hormones throughout the physiologically relevant concentration ranges. In a proof-of-concept application, we demonstrate that the VIBE platform differentiates insulin and GLP-1 levels in serum samples of wild-type mice from type-1 and type-2 diabetic mice. Evaluation of human serum samples shows that the bioelectronic device can differentiate between samples from different individuals and report differences in their metabolic states. As the target analyte can be changed simply by introducing engineered cells overexpressing the appropriate receptor, the VIBE interface has many potential applications for point-of-care diagnostics and personalized medicine via the internet of things.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Diabetes Mellitus Experimental Límite: Animals / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Diabetes Mellitus Experimental Límite: Animals / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Suiza