Human Kidney Proximal Tubule-Microvascular Model Facilitates High-Throughput Analyses of Structural and Functional Effects of Ischemia-Reperfusion Injury.

TEER fluid shear stress high-throughput ischemia-reperfusion kidney-on-a-chip oxygen proximal tubule

Journal

Advanced biology
ISSN: 2701-0198
Titre abrégé: Adv Biol (Weinh)
Pays: Germany
ID NLM: 101775319

Informations de publication

Date de publication:
02 Oct 2023
Historique:
revised: 27 08 2023
received: 28 03 2023
medline: 3 10 2023
pubmed: 3 10 2023
entrez: 3 10 2023
Statut: aheadofprint

Résumé

Kidney ischemia reperfusion injury (IRI) poses a major global healthcare burden, but effective treatments remain elusive. IRI involves a complex interplay of tissue-level structural and functional changes caused by interruptions in blood and filtrate flow and reduced oxygenation. Existing in vitro models poorly replicate the in vivo injury environment and lack means of monitoring tissue function during the injury process. Here, a high-throughput human primary kidney proximal tubule (PT)-microvascular model is described, which facilitates in-depth structural and rapid functional characterization of IRI-induced changes in the tissue barrier. The PREDICT96 (P96) microfluidic platform's user-controlled fluid flow can mimic the conditions of IR to induce pronounced changes in cell structure that resemble clinical and in vivo phenotypes. High-throughput trans-epi/endo-thelial electrical resistance (TEER) sensing is applied to non-invasively track functional changes in the PT-microvascular barrier during the two-stage injury process and over repeated episodes of injury. Notably, ischemia causes an initial increase in tissue TEER followed by a sudden increase in permeability upon reperfusion, and this biphasic response occurs only with the loss of both fluid flow and oxygenation. This study demonstrates the potential of the P96 kidney IRI model to enhance understanding of IRI and fuel therapeutic development.

Identifiants

pubmed: 37786311
doi: 10.1002/adbi.202300127
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2300127

Subventions

Organisme : National Science Foundation
ID : 1804845
Organisme : National Science Foundation
ID : 1842474
Organisme : The Charles Stark Draper Laboratory Inc.

Informations de copyright

© 2023 Wiley-VCH GmbH.

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Auteurs

Erin M Shaughnessey (EM)

Draper Scholar, The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA, 02155, USA.

Samuel H Kann (SH)

Draper Scholar, The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Department of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA, 02215, USA.

Joseph L Charest (JL)

The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.

Else M Vedula (EM)

The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.

Classifications MeSH