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Liu X, Fang H, Liang D, Lei Q, Wang J, Xu F, Liang S, Liang D, Yang F, Li H, Chen J, Ni Y, Xie G, Zeng C. Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients. Ren Fail 2024; 46:2322043. [PMID: 38425049 PMCID: PMC10911252 DOI: 10.1080/0886022x.2024.2322043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients and broaden its implementation. METHODS Biopsy-proven allograft IgAN patients from two different centers were enrolled for internal and external validation. We implemented the ARPS to identify glomerular lesions and intrinsic glomerular cells, and then evaluated its performance. Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. The association of digital pathological features with clinical and pathological data was measured. Kaplan-Meier survival curve and cox proportional hazards model were applied to investigate prognosis prediction. RESULTS A total of 56 biopsy-proven allograft IgAN patients from the internal center and 17 biopsy-proven allograft IgAN patients from the external center were enrolled in this study. The ARPS was successfully applied to identify the glomerular lesions (F1-score, 0.696-0.959) and quantify intrinsic glomerular cells (F1-score, 0.888-0.968) in allograft IgAN patients rapidly and precisely. Furthermore, the mesangial hypercellularity score was positively correlated with all mesangial metrics provided by ARPS [Spearman's correlation coefficient (r), 0.439-0.472, and all p values < 0.001]. Besides, a higher allograft survival was noticed among patients in the high-level groups of the maximum and ratio of endothelial cells, as well as the maximum and density of podocytes. CONCLUSION We propose that the ARPS could be implemented in future clinical practice with outstanding capability.
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Affiliation(s)
- Xumeng Liu
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Huiwen Fang
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Dongmei Liang
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qunjuan Lei
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | | | - Feng Xu
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Shaoshan Liang
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Dandan Liang
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Fan Yang
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Heng Li
- Kidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China
| | - Jianghua Chen
- Kidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China
| | - Yuan Ni
- Ping An Healthcare Technology, Shanghai, China
| | - Guotong Xie
- Ping An Healthcare Technology, Shanghai, China
| | - Caihong Zeng
- National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
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Schaub JA, O'Connor CL, Dailey M, Hlynka AW, Chang Y, Postiff D, Kaffenberger SD, Palapattu GS, Gillespie BW, Hodgin JB, Shedden K, Bitzer M. Spatial Heterogeneity of Glomerular Phenotypes Affects Kidney Biopsy Findings. KIDNEY360 2023; 4:1598-1607. [PMID: 37889598 PMCID: PMC10695647 DOI: 10.34067/kid.0000000000000283] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
Key Points Glomeruli with pathologic changes are not homogeneously distributed throughout the kidney cortex. Biopsies that do not include the kidney capsule may underdetect glomeruli with pathologic changes. Location of glomeruli with pathologic changes may be related to underlying clinical characteristics. Background Detection of rare glomerular phenotypes can affect diagnosis in indication kidney biopsies and in kidney tissue used for research studies. Nephropathologists are aware of potential sampling error when assessing needle biopsy cores, but quantitative data are lacking. Methods Kidney tissue from patients undergoing total nephrectomy enrolled in an observational, cross-sectional cohort study was used to characterize glomeruli as typical or atypical, which included globally sclerotic glomeruli (GSGs), segmentally sclerotic glomeruli, ischemic-like, and imploding. A 2D map of the glomerular annotations was generated. Spatial centrality of atypical glomeruli using the L2 metric and differences in pairwise distances between typical or atypical glomeruli were calculated. To determine how the yield of capturing atypical glomerular phenotype was affected by biopsy depth (i.e. , not including the renal capsule), simulated kidney biopsies were generated from the 2D map. Results The mean number of glomeruli in a nephrectomy specimen was 209 (SD 143), and GSGs were the most common type of atypical glomeruli (median: 13% [interquartile range: 5,31]). Typical glomeruli were more likely to be surrounded by other glomeruli (i.e. , centrally located in the kidney cortex) than GSGs, segmentally sclerosed glomeruli, ischemic-like glomeruli, and imploding glomeruli. Atypical glomeruli were 7.3% (95% confidence interval, 4.1 to 10.4) closer together than typical glomeruli and were more likely to be closer together in older patients or those with hypertension. In simulated kidney biopsies, failure to capture the capsule was associated with underdetection of GSGs, ischemic-like glomeruli, and imploding glomeruli. Conclusions Spatial analysis of large sections of kidney tissue provided quantitative evidence of spatial heterogeneity of glomerular phenotypes including clustering of atypical glomeruli in individuals with hypertension or older age. Most importantly, deep kidney biopsies that lack subcapsular area underdetect atypical glomerular phenotypes, suggesting that capturing the renal capsule is an important quality control measure for kidney biopsies.
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Affiliation(s)
- Jennifer A. Schaub
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | | | - Meghan Dailey
- Advanced Research Computing (Information and Technology Services), University of Michigan, Ann Arbor, Michigan
| | | | - Yurui Chang
- Department of Statistics, University of Michigan, Ann Arbor, Michigan
| | - Deborah Postiff
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | | | | | - Brenda W. Gillespie
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Jeffrey B. Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | - Kerby Shedden
- Department of Statistics, University of Michigan, Ann Arbor, Michigan
| | - Markus Bitzer
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
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3
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Kaverina N, Schweickart RA, Chan GC, Maggiore JC, Eng DG, Zeng Y, McKinzie SR, Perry HS, Ali A, O’Connor C, Pereira BMV, Theberge AB, Vaughan JC, Loretz CJ, Chang A, Hukriede NA, Bitzer M, Pippin JW, Wessely O, Shankland SJ. Inhibiting NLRP3 signaling in aging podocytes improves their life- and health-span. Aging (Albany NY) 2023; 15:6658-6689. [PMID: 37487005 PMCID: PMC10415579 DOI: 10.18632/aging.204897] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023]
Abstract
The decrease in the podocyte's lifespan and health-span that typify healthy kidney aging cause a decrease in their normal structure, physiology and function. The ability to halt and even reverse these changes becomes clinically relevant when disease is superimposed on an aged kidney. RNA-sequencing of podocytes from middle-aged mice showed an inflammatory phenotype with increases in the NLRP3 inflammasome, signaling for IL2/Stat5, IL6 and TNF, interferon gamma response, allograft rejection and complement, consistent with inflammaging. Furthermore, injury-induced NLRP3 signaling in podocytes was further augmented in aged mice compared to young ones. The NLRP3 inflammasome (NLRP3, Caspase-1, IL1β IL-18) was also increased in podocytes of middle-aged humans. Higher transcript expression for NLRP3 in human glomeruli was accompanied by reduced podocyte density and increased global glomerulosclerosis and glomerular volume. Pharmacological inhibition of NLRP3 with MCC950, or gene deletion, reduced podocyte senescence and the genes typifying aging in middle-aged mice, which was accompanied by an improved podocyte lifespan and health-span. Moreover, modeling the injury-dependent increase in NLRP3 signaling in human kidney organoids confirmed the anti-senescence effect of MC9950. Finally, NLRP3 also impacted liver aging. Together, these results suggest a critical role for the NLRP3 inflammasome in podocyte and liver aging.
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Affiliation(s)
- Natalya Kaverina
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
| | - R. Allen Schweickart
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44106, USA
| | - Gek Cher Chan
- Department of Medicine, Division of Nephrology, National University Hospital, Singapore
| | - Joseph C. Maggiore
- Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Diana G. Eng
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
| | - Yuting Zeng
- Department of Chemistry, University of Washington, Seattle, WA 98109, USA
| | - Sierra R. McKinzie
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
| | - Hannah S. Perry
- Department of Chemistry, University of Washington, Seattle, WA 98109, USA
| | - Adilijiang Ali
- Department of Chemistry, University of Washington, Seattle, WA 98109, USA
| | | | | | | | - Joshua C. Vaughan
- Department of Chemistry, University of Washington, Seattle, WA 98109, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98109, USA
| | - Carol J. Loretz
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
| | - Anthony Chang
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA
| | - Neil A. Hukriede
- Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Markus Bitzer
- Division of Nephrology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jeffrey W. Pippin
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
| | - Oliver Wessely
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44106, USA
| | - Stuart J. Shankland
- Division of Nephrology, University of Washington, Seattle, WA 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
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4
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Schaub JA, AlAkwaa FM, McCown PJ, Naik AS, Nair V, Eddy S, Menon R, Otto EA, Demeke D, Hartman J, Fermin D, O’Connor CL, Subramanian L, Bitzer M, Harned R, Ladd P, Pyle L, Pennathur S, Inoki K, Hodgin JB, Brosius FC, Nelson RG, Kretzler M, Bjornstad P. SGLT2 inhibitors mitigate kidney tubular metabolic and mTORC1 perturbations in youth-onset type 2 diabetes. J Clin Invest 2023; 133:e164486. [PMID: 36637914 PMCID: PMC9974101 DOI: 10.1172/jci164486] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/20/2022] [Indexed: 01/14/2023] Open
Abstract
The molecular mechanisms of sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) remain incompletely understood. Single-cell RNA sequencing and morphometric data were collected from research kidney biopsies donated by young persons with type 2 diabetes (T2D), aged 12 to 21 years, and healthy controls (HCs). Participants with T2D were obese and had higher estimated glomerular filtration rates and mesangial and glomerular volumes than HCs. Ten T2D participants had been prescribed SGLT2i (T2Di[+]) and 6 not (T2Di[-]). Transcriptional profiles showed SGLT2 expression exclusively in the proximal tubular (PT) cluster with highest expression in T2Di(-) patients. However, transcriptional alterations with SGLT2i treatment were seen across nephron segments, particularly in the distal nephron. SGLT2i treatment was associated with suppression of transcripts in the glycolysis, gluconeogenesis, and tricarboxylic acid cycle pathways in PT, but had the opposite effect in thick ascending limb. Transcripts in the energy-sensitive mTORC1-signaling pathway returned toward HC levels in all tubular segments in T2Di(+), consistent with a diabetes mouse model treated with SGLT2i. Decreased levels of phosphorylated S6 protein in proximal and distal tubules in T2Di(+) patients confirmed changes in mTORC1 pathway activity. We propose that SGLT2i treatment benefits the kidneys by mitigating diabetes-induced metabolic perturbations via suppression of mTORC1 signaling in kidney tubules.
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Affiliation(s)
| | | | | | | | - Viji Nair
- Department of Internal Medicine, Division of Nephrology
| | - Sean Eddy
- Department of Internal Medicine, Division of Nephrology
| | - Rajasree Menon
- Department of Computational Medicine and Bioinformatics, and
| | - Edgar A. Otto
- Department of Internal Medicine, Division of Nephrology
| | - Dawit Demeke
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - John Hartman
- Department of Internal Medicine, Division of Nephrology
| | - Damian Fermin
- Department of Internal Medicine, Division of Nephrology
| | | | | | - Markus Bitzer
- Department of Internal Medicine, Division of Nephrology
| | | | | | - Laura Pyle
- Department of Biostatistics and Informatics, and
- Department of Pediatrics, Section of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine, Division of Nephrology
- Department of Molecular and Integrative Physiology and
| | - Ken Inoki
- Department of Internal Medicine, Division of Nephrology
- Department of Molecular and Integrative Physiology and
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan, USA
| | - Jeffrey B. Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Frank C. Brosius
- Department of Internal Medicine, Division of Nephrology
- Division of Nephrology, The University of Arizona College of Medicine Tucson, Tucson, Arizona, USA
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix, Arizona, USA
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology
- Department of Computational Medicine and Bioinformatics, and
| | - Petter Bjornstad
- Department of Pediatrics, Section of Endocrinology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado School of Medicine, Aurora, Colorado, USA
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5
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Pippin JW, Kaverina N, Wang Y, Eng DG, Zeng Y, Tran U, Loretz CJ, Chang A, Akilesh S, Poudel C, Perry HS, O’Connor C, Vaughan JC, Bitzer M, Wessely O, Shankland SJ. Upregulated PD-1 signaling antagonizes glomerular health in aged kidneys and disease. J Clin Invest 2022; 132:e156250. [PMID: 35968783 PMCID: PMC9374384 DOI: 10.1172/jci156250] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 06/24/2022] [Indexed: 01/21/2023] Open
Abstract
With an aging population, kidney health becomes an important medical and socioeconomic factor. Kidney aging mechanisms are not well understood. We previously showed that podocytes isolated from aged mice exhibit increased expression of programmed cell death protein 1 (PD-1) surface receptor and its 2 ligands (PD-L1 and PD-L2). PDCD1 transcript increased with age in microdissected human glomeruli, which correlated with lower estimated glomerular filtration rate and higher segmental glomerulosclerosis and vascular arterial intima-to-lumen ratio. In vitro studies in podocytes demonstrated a critical role for PD-1 signaling in cell survival and in the induction of a senescence-associated secretory phenotype. To prove PD-1 signaling was critical to podocyte aging, aged mice were injected with anti-PD-1 antibody. Treatment significantly improved the aging phenotype in both kidney and liver. In the glomerulus, it increased the life span of podocytes, but not that of parietal epithelial, mesangial, or endothelial cells. Transcriptomic and immunohistochemistry studies demonstrated that anti-PD-1 antibody treatment improved the health span of podocytes. Administering the same anti-PD-1 antibody to young mice with experimental focal segmental glomerulosclerosis (FSGS) lowered proteinuria and improved podocyte number. These results suggest a critical contribution of increased PD-1 signaling toward both kidney and liver aging and in FSGS.
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Affiliation(s)
| | | | - Yuliang Wang
- Paul G. Allen School of Computer Science and Engineering, and
| | | | - Yuting Zeng
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | - Uyen Tran
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | | | - Anthony Chang
- Department of Pathology, University of Chicago, Chicago, Illinois, USA
| | - Shreeram Akilesh
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | - Hannah S. Perry
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | | | - Joshua C. Vaughan
- Department of Chemistry, University of Washington, Seattle, Washington, USA
- Department of Physiology and Biophysics and
| | - Markus Bitzer
- Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA
| | - Oliver Wessely
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Stuart J. Shankland
- Division of Nephrology
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, USA
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6
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Govind D, Becker JU, Miecznikowski J, Rosenberg AZ, Dang J, Tharaux PL, Yacoub R, Thaiss F, Hoyer PF, Manthey D, Lutnick B, Worral AM, Mohammad I, Walavalkar V, Tomaszewski JE, Jen KY, Sarder P. PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images. J Am Soc Nephrol 2021; 32:2795-2813. [PMID: 34479966 PMCID: PMC8806084 DOI: 10.1681/asn.2021050630] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/08/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Podocyte depletion precedes progressive glomerular damage in several kidney diseases. However, the current standard of visual detection and quantification of podocyte nuclei from brightfield microscopy images is laborious and imprecise. METHODS We have developed PodoSighter, an online cloud-based tool, to automatically identify and quantify podocyte nuclei from giga-pixel brightfield whole-slide images (WSIs) using deep learning. Ground-truth to train the tool used immunohistochemically or immunofluorescence-labeled images from a multi-institutional cohort of 122 histologic sections from mouse, rat, and human kidneys. To demonstrate the generalizability of our tool in investigating podocyte loss in clinically relevant samples, we tested it in rodent models of glomerular diseases, including diabetic kidney disease, crescentic GN, and dose-dependent direct podocyte toxicity and depletion, and in human biopsies from steroid-resistant nephrotic syndrome and from human autopsy tissues. RESULTS The optimal model yielded high sensitivity/specificity of 0.80/0.80, 0.81/0.86, and 0.80/0.91, in mouse, rat, and human images, respectively, from periodic acid-Schiff-stained WSIs. Furthermore, the podocyte nuclear morphometrics extracted using PodoSighter were informative in identifying diseased glomeruli. We have made PodoSighter freely available to the general public as turnkey plugins in a cloud-based web application for end users. CONCLUSIONS Our study demonstrates an automated computational approach to detect and quantify podocyte nuclei in standard histologically stained WSIs, facilitating podocyte research, and enabling possible future clinical applications.
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Affiliation(s)
- Darshana Govind
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
| | - Jan U. Becker
- Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | | | - Avi Z. Rosenberg
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | | | - Rabi Yacoub
- Department of Internal Medicine, University at Buffalo, Buffalo, New York
| | - Friedrich Thaiss
- Third Medical Department of Clinical Medicine, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Peter F. Hoyer
- Pediatric Nephrology, University Hospital Essen, Essen, Germany
| | | | - Brendon Lutnick
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
| | - Amber M. Worral
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
| | - Imtiaz Mohammad
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
| | - Vighnesh Walavalkar
- Department of Pathology, University of California San Francisco, San Francisco, California
| | - John E. Tomaszewski
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
| | - Kuang-Yu Jen
- Department of Pathology and Laboratory Medicine, University of California, Sacramento, California
| | - Pinaki Sarder
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York
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7
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Naik AS, Wang SQ, Chowdhury M, Aqeel J, O'Connor CL, Wiggins JE, Bitzer M, Wiggins RC. Critical timing of ACEi initiation prevents compensatory glomerular hypertrophy in the remaining single kidney. Sci Rep 2021; 11:19605. [PMID: 34599260 PMCID: PMC8486841 DOI: 10.1038/s41598-021-99124-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/20/2021] [Indexed: 01/05/2023] Open
Abstract
Increasing evidence suggests that single in kidney states (e.g., kidney transplantation and living donation) progressive glomerulosclerosis limits kidney lifespan. Modeling shows that post-nephrectomy compensatory glomerular volume (GV) increase drives podocyte depletion and hypertrophic stress resulting in proteinuria and glomerulosclerosis, implying that GV increase could serve as a therapeutic target to prevent progression. In this report we examine how Angiotensin Converting Enzyme inhibition (ACEi), started before uninephrectomy can reduce compensatory GV increase in wild-type Fischer344 rats. An unbiased computer-assisted method was used for morphometric analysis. Urine Insulin-like growth factor-1 (IGF-1), the major diver of body and kidney growth, was used as a readout. In long-term (40-week) studies of uni-nephrectomized versus sham-nephrectomized rats a 2.2-fold increase in GV was associated with reduced podocyte density, increased proteinuria and glomerulosclerosis. Compensatory GV increase was largely prevented by ACEi started a week before but not after uni-nephrectomy with no measurable impact on long-term eGFR. Similarly, in short-term (14-day) studies, ACEi started a week before uni-nephrectomy reduced both GV increase and urine IGF-1 excretion. Thus, timing of ACEi in relation to uni-nephrectomy had significant impact on post-nephrectomy "compensatory" glomerular growth and outcomes that could potentially be used to improve kidney transplantation and live kidney donation outcomes.
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Affiliation(s)
- Abhijit S Naik
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
- , F6676 UHS, 1500 E Medical Center Dr, Ann Arbor, MI, 48109-5676, USA.
| | - Su Q Wang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mahboob Chowdhury
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jawad Aqeel
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Jocelyn E Wiggins
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Markus Bitzer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Roger C Wiggins
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
- , 1570B MSRB2, 1150 W Medical Center Dr, Ann Arbor, MI, 48109-5676, USA.
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