TY - JOUR
T1 - Estimating Nephron Number from Biopsies
T2 - Impact on Clinical Studies
AU - Morozov, Darya
AU - Parvin, Neda
AU - Conaway, Mark
AU - Oxley, Gavin
AU - Baldelomar, Edwin J.
AU - Cwiek, Aleksandra
AU - deRonde, Kim
AU - Beeman, Scott C.
AU - Charlton, Jennifer R.
AU - Bennett, Kevin M.
N1 - Funding Information:
E.J. Baldelomar and K.M. Bennett are co-owners of XN Biotechnologies. J.R. Charlton and K.M. Bennett are co-owners of Sindri Technologies, LLC. K.M. Bennett reports having a sponsored research agreement with Janssen Pharmaceuticals and XN Biotechnologies, LLC; reports having consultancy agreements with Janssen; reports receiving honoraria from Janssen Pharmaceuticals. K.M. Bennett has a grant from the Mid-America Transplant Foundation; and reports other interests/relationships Nephrodiagnostics (co-owner). S. Beeman reports having an ownership interest in Nephrodiagnostics; and reports receiving honoraria from the Mayo Clinic of Arizona and Vanderbilt University. All remaining authors have nothing to disclose.
Funding Information:
This work was supported by National Institute of Diabetes and Digestive and Kidney Diseases grants R01DK111861 and R01DK110622, and National Center for Advancing Translational Sciences grant TL1TR002344 (to E.J. Baldelomar).
Publisher Copyright:
ß 2022 by the American Society of Nephrology
PY - 2022/1
Y1 - 2022/1
N2 - Background Accumulating evidence supports an association between nephron number and susceptibility to kidney disease. However, it is not yet possible to directly measure nephron number in a clinical setting. Recent clinical studies have used glomerular density from a single biopsy and whole kidney cortical volume from imaging to estimate nephron number and single nephron glomerular filtration rate. However, the accuracy of these estimates from individual subjects is unknown. Furthermore, it is not clear how sample size or biopsy location may influence these estimates. These questions are critical to study design, and to the potential translation of these tools to estimate nephron number in individual subjects. Methods We measured the variability in estimated nephron number derived from needle or virtual biopsies and cortical volume in human kidneys declined for transplantation. We performed multiple needle biopsies in the same kidney, and examined the three-dimensional spatial distribution of nephron density by magnetic resonance imaging. We determined the accuracy of a single-kidney biopsy to predict the mean nephron number estimated from multiple biopsies from the same kidney. Results A single needle biopsy had a 15% chance and virtual biopsy had a 60% chance of being within 20% of the whole-kidney nephron number. Single needle biopsies could be used to detect differences in nephron number between large cohorts of several hundred subjects. Conclusions The number of subjects required to accurately detect differences in nephron number between populations can be predicted on the basis of natural intrakidney variability in glomerular density. A single biopsy is insufficient to accurately predict nephron number in individual subjects.
AB - Background Accumulating evidence supports an association between nephron number and susceptibility to kidney disease. However, it is not yet possible to directly measure nephron number in a clinical setting. Recent clinical studies have used glomerular density from a single biopsy and whole kidney cortical volume from imaging to estimate nephron number and single nephron glomerular filtration rate. However, the accuracy of these estimates from individual subjects is unknown. Furthermore, it is not clear how sample size or biopsy location may influence these estimates. These questions are critical to study design, and to the potential translation of these tools to estimate nephron number in individual subjects. Methods We measured the variability in estimated nephron number derived from needle or virtual biopsies and cortical volume in human kidneys declined for transplantation. We performed multiple needle biopsies in the same kidney, and examined the three-dimensional spatial distribution of nephron density by magnetic resonance imaging. We determined the accuracy of a single-kidney biopsy to predict the mean nephron number estimated from multiple biopsies from the same kidney. Results A single needle biopsy had a 15% chance and virtual biopsy had a 60% chance of being within 20% of the whole-kidney nephron number. Single needle biopsies could be used to detect differences in nephron number between large cohorts of several hundred subjects. Conclusions The number of subjects required to accurately detect differences in nephron number between populations can be predicted on the basis of natural intrakidney variability in glomerular density. A single biopsy is insufficient to accurately predict nephron number in individual subjects.
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U2 - 10.1681/ASN.2021070998
DO - 10.1681/ASN.2021070998
M3 - Article
C2 - 34758983
AN - SCOPUS:85123226432
SN - 1046-6673
VL - 33
SP - 39
EP - 48
JO - Journal of the American Society of Nephrology : JASN
JF - Journal of the American Society of Nephrology : JASN
IS - 1
ER -