Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3-D MRI.


Journal

American journal of physiology. Renal physiology
ISSN: 1522-1466
Titre abrégé: Am J Physiol Renal Physiol
Pays: United States
ID NLM: 100901990

Informations de publication

Date de publication:
01 09 2021
Historique:
pubmed: 21 7 2021
medline: 24 9 2021
entrez: 20 7 2021
Statut: ppublish

Résumé

Kidney pathologies are often highly heterogeneous. To comprehensively understand kidney structure and pathology, it is critical to develop tools to map tissue microstructure in the context of the whole, intact organ. Magnetic resonance imaging (MRI) can provide a unique, three-dimensional view of the kidney and allows for measurements of multiple pathological features. Here, we developed a platform to systematically render and map gross and microstructural features of the human kidney based on three-dimensional MRI. These features include pyramid number and morphology as well as the associated medulla and cortex. In a subset of these kidneys, we also mapped individual glomeruli and glomerular volumes using cationic ferritin-enhanced MRI to report intrarenal heterogeneity in glomerular density and size. Finally, we rendered and measured regions of nephron loss due to pathology and individual glomerular volumes in each pyramidal unit. This work provides new tools to comprehensively evaluate the kidney across scales, with potential applications in anatomic and physiological research, transplant allograft evaluation, biomarker development, biopsy guidance, and therapeutic monitoring. These image rendering and analysis tools could eventually impact the field of transplantation medicine to improve longevity matching of donor allografts and recipients and reduce discard rates through the direct assessment of donor kidneys.

Identifiants

pubmed: 34282957
doi: 10.1152/ajprenal.00130.2021
pmc: PMC8530750
doi:

Substances chimiques

polycationic ferritin 0
Ferritins 9007-73-2

Banques de données

figshare
['10.6084/m9.figshare.14371802.v2', '10.6084/m9.figshare.14371796.v5', '10.6084/m9.figshare.14691036.v1', '10.6084/m9.figshare.14371799.v3']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

F293-F304

Subventions

Organisme : NIDDK NIH HHS
ID : R41 DK129138
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR002344
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK110622
Pays : United States
Organisme : HHS | NIH | National Center for Advancing Translational Sciences (NCATS)
ID : TL1TR002344
Organisme : NIDDK NIH HHS
ID : R01 DK111861
Pays : United States
Organisme : HHS | NIH | National Center for Research Resources (NCRR)
ID : S10RR019911
Organisme : NIDDK NIH HHS
ID : U34 DK117128
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR019911
Pays : United States

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Auteurs

Jennifer R Charlton (JR)

Department of Pediatrics, University of Virginia Children's Hospital, Charlottesville, Virginia.

Yanzhe Xu (Y)

School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Mayo Center for Innovative Imaging, Arizona State University, Tempe, Arizona.

Neda Parvin (N)

Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

Teresa Wu (T)

School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Mayo Center for Innovative Imaging, Arizona State University, Tempe, Arizona.

Fei Gao (F)

School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona.
Mayo Center for Innovative Imaging, Arizona State University, Tempe, Arizona.

Edwin J Baldelomar (EJ)

Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

Darya Morozov (D)

Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

Scott C Beeman (SC)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona.

Jamal Derakhshan (J)

Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

Kevin M Bennett (KM)

Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

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Classifications MeSH