Modeling mechanisms underlying differential inflammatory responses to COVID-19 in type 2 diabetes using a patient-derived microphysiological organ-on-a-chip system.

Negi, Vinny; Gavlock, Dillon; Miedel, Mark T; Lee, Jeong Kyung; Shun, Tongying; Gough, Albert; Vernetti, Lawrence; Stern, Andrew M; Taylor, D Lansing; Yechoor, Vijay K

Negi, Vinny; Gavlock, Dillon; Miedel, Mark T; Lee, Jeong Kyung; Shun, Tongying; Gough, Albert; Vernetti, Lawrence; Stern, Andrew M; Taylor, D Lansing; Yechoor, Vijay K.

Afiliación

Negi V; Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA. yechoorv@pitt.edu.
Gavlock D; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Miedel MT; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Lee JK; Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA. yechoorv@pitt.edu.
Shun T; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Gough A; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Vernetti L; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Stern AM; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Taylor DL; Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Yechoor VK; Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA. yechoorv@pitt.edu.

Lab Chip ; 23(20): 4514-4527, 2023 Oct 10.

Article en En | MEDLINE | ID: mdl-37766577

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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