Comprehensive three-dimensional analysis (CUBIC-kidney) visualizes abnormal renal sympathetic nerves after ischemia/reperfusion injury.


Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
07 2019
Historique:
received: 05 09 2018
revised: 17 01 2019
accepted: 07 02 2019
pubmed: 14 4 2019
medline: 22 9 2020
entrez: 14 4 2019
Statut: ppublish

Résumé

The sympathetic nervous system is critical in maintaining the homeostasis of renal functions. However, its three-dimensional (3D) structures in the kidney have not been elucidated due to limitation of conventional imaging methods. CUBIC (Clear, Unobstructed Brain/Body Imaging Cocktails and Computational analysis) is a newly developed tissue-clearing technique, which enables whole-organ 3D imaging without thin-sectioning. Comprehensive 3D imaging by CUBIC found that sympathetic nerves are primarily distributed around arteries in the mouse kidney. Notably, the sympathetic innervation density was significantly decreased 10 days after ischemia-reperfusion injury (voluminal ratio of innervation area to kidney) by about 70%. Moreover, norepinephrine levels in kidney tissue (output of sympathetic nerves) were significantly reduced in injured kidneys by 77%, confirming sympathetic denervation after ischemia-reperfusion injury. Time-course imaging indicated that innervation partially recovered although overall denervation persisted 28 days after injury, indicating a continuous sympathetic nervous abnormality during the progression of chronic kidney disease. Thus, CUBIC-kidney, the 3D imaging analysis, can be a strong imaging tool, providing comprehensive, macroscopic perspectives for kidney research.

Identifiants

pubmed: 30979565
pii: S0085-2538(19)30230-3
doi: 10.1016/j.kint.2019.02.011
pii:
doi:

Substances chimiques

Norepinephrine X4W3ENH1CV

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

129-138

Informations de copyright

Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Auteurs

Sho Hasegawa (S)

Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Etsuo A Susaki (EA)

Department of Systems Pharmacology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan; PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Japan; Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Japan.

Tetsuhiro Tanaka (T)

Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan. Electronic address: tetsu-tky@umin.ac.jp.

Hirotaka Komaba (H)

Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan; Interactive Translational Research Center for Kidney Diseases, Tokai University School of Medicine, Isehara, Japan; The Institute of Medical Sciences, Tokai University, Isehara, Japan.

Takehiko Wada (T)

Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan.

Masafumi Fukagawa (M)

Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan.

Hiroki R Ueda (HR)

Department of Systems Pharmacology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan; Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Japan; International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan. Electronic address: uedah-tky@umin.ac.jp.

Masaomi Nangaku (M)

Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.

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Classifications MeSH