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Sussman CR, Holmes HL, Stiller A, Thao K, Gregory AV, Anaam D, Meloche R, Mkhaimer Y, Wells HH, Vasconcelos LD, Urban MW, Macura SI, Harris PC, Kline TL, Romero MF. Robotic Ultrasound and Novel Collagen Analyses for Polycystic Kidney Disease Research Using Mice. KIDNEY360 2024; 5:1543-1552. [PMID: 39145639 DOI: 10.34067/kid.0000000000000542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024]
Abstract
Key Points
Robotic ultrasound performed favorably compared with magnetic resonance imaging for evaluating total kidney volume.Collagen evaluation by two novel methods of picrosirius red imaging were more informative than the standard method by brightfield imaging.Findings can improve research by increasing speed and access to total kidney volume determination and sensitivity of collagen assessment.
Background
3D imaging and histology are critical tools for assessing polycystic kidney disease (PKD) in patients and animal models. Magnetic resonance (MR) imaging provides micron resolution but is time consuming and expensive, and access to equipment and expertise is limited. Robotic ultrasound (US) imaging has lower spatial resolution but is faster, more cost-effective, and accessible. Similarly, picrosirius red (PSR) staining and brightfield microscopy are commonly used to assess fibrosis; however, alternative methods have been shown in non-kidney tissues to provide greater sensitivity and more detailed structural characterization.
Methods
In this study, we evaluated the utility of robotic US and alternative methods of quantifying PSR staining for PKD research. We compared longitudinal total kidney volume measurements using US and MR imaging. We additionally compared PSR imaging and quantification using standard brightfield microscopy with that by circularly polarized light with hue analysis and fluorescence imaging analyzed using curvelet transform fiber extraction software for automatic detection of individual collagen fibers.
Results
Increased total kidney volume was detected by US in Pkd1
RC/RC
versus wild-type (WT) at time points spanning from early to established disease. US interobserver variability was greater but allowed scanning in 2–5 minutes/mouse, whereas MR imaging required 20–30 minutes/mouse. While no change in fibrotic index was detected in this cohort of relatively mild disease using brightfield microscopy, polarized light showed fibers skewed thinner in Pkd1
RC/RC
versus WT. Fluorescence imaging showed a higher density of collagen fibers in Pkd1
RC/RC
versus WT, and fibers were thinner and curvier with no change in length. In addition, fiber density was higher in both glomeruli and tubules in Pkd1
RC/RC
, and glomeruli had a higher fiber density than tubules in Pkd1
RC/RC
and trended higher in WT.
Conclusions
These studies show robotic US is a rigorous imaging tool for preclinical PKD research. In addition, they demonstrate the increased sensitivity of polarized and fluorescence analysis of PSR-stained collagen.
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Affiliation(s)
- Caroline R Sussman
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Heather L Holmes
- Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Alison Stiller
- Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Ka Thao
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Adriana V Gregory
- Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Deema Anaam
- Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Ryan Meloche
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Yaman Mkhaimer
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Harrison H Wells
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Luiz D Vasconcelos
- Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Matthew W Urban
- Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
- Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Slobodan I Macura
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
- Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Peter C Harris
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
- Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Timothy L Kline
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
- Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Michael F Romero
- Nephrology and Hypertension, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
- Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
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Chebib FT, Torres VE. Assessing Risk of Rapid Progression in Autosomal Dominant Polycystic Kidney Disease and Special Considerations for Disease-Modifying Therapy. Am J Kidney Dis 2021; 78:282-292. [PMID: 33705818 DOI: 10.1053/j.ajkd.2020.12.020] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 12/12/2020] [Indexed: 12/19/2022]
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited cause of kidney failure, accounting for 5%-10% of cases. Predicting which patients with ADPKD will progress rapidly to kidney failure is critical to assess the risk-benefit ratio of any intervention and to consider early initiation of long-term kidney protective measures that will maximize the cumulative benefit of slowing disease progression. Surrogate prognostic biomarkers are required to predict future decline in kidney function. Clinical, genetic, environmental, epigenetic, and radiologic factors have been studied as predictors of progression to kidney failure in ADPKD. A complex interaction of these prognostic factors determines the number of kidney cysts and their growth rates, which affect total kidney volume (TKV). Age-adjusted TKV, represented by the Mayo imaging classification, estimates each patient's unique rate of kidney growth and provides the most individualized approach available clinically so far. Tolvaptan has been approved to slow disease progression in patients at risk of rapidly progressive disease. Several other disease-modifying treatments are being studied in clinical trials. Selection criteria for patients at risk of rapid progression vary widely among countries and are based on a combination of age, baseline glomerular filtration rate (GFR), GFR slope, baseline TKV, and TKV rate of growth. This review details the approach in assessing the risk of disease progression in ADPKD and identifying patients who would benefit from long-term therapy with disease-modifying agents.
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Affiliation(s)
- Fouad T Chebib
- Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, Rochester, MN.
| | - Vicente E Torres
- Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, Rochester, MN
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