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Kanamori KS, Tarragó MG, Jones A, Cheek EH, Warner GM, Jenkins SM, Povero D, Graham RP, Mounajjed T, Chedid MF, Sabat BD, Torbenson MS, Heimbach JK, Chini EN, Moreira RK. Surface color spectrophotometry in a murine model of steatosis: an accurate technique with potential applicability in liver procurement. J Transl Med 2021; 101:1098-1109. [PMID: 33859335 DOI: 10.1038/s41374-021-00600-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/05/2021] [Accepted: 03/05/2021] [Indexed: 11/08/2022] Open
Abstract
Steatosis is the most important prognostic histologic feature in the setting of liver procurement. The currently utilized diagnostic methods, including gross evaluation and frozen section examination, have important shortcomings. Novel techniques that offer advantages over the current tools could be of significant practical utility. The aim of this study is to evaluate the accuracy of surface color spectrophotometry in the quantitative assessment of steatosis in a murine model of fatty liver. C57BL/6 mice were divided into a control group receiving normal chow (n = 19), and two steatosis groups receiving high-fat diets for up to 20 weeks-mild steatosis (n = 10) and moderate-to-severe steatosis (n = 19). Mouse liver surfaces were scanned with a hand-held spectrophotometer (CM-600D; Konica-Minolta, Osaka, Japan). Spectral reflectance data and color space values (L*a*b*, XYZ, L*c*h*, RBG, and CMYK) were correlated with histopathologic steatosis evaluation by visual estimate, digital image analysis (DIA), as well as biochemical tissue triglyceride measurement. Spectral reflectance and most color space values were very strongly correlated with histologic assessment of total steatosis, with the best predictor being % reflectance at 700 nm (r = 0.91 [0.88-0.94] for visual assessment, r = 0.92 [0.88-0.95] for DIA of H&E slides, r = 0.92 [0.87-0.95] for DIA of oil-red-O stains, and r = 0.78 [0.63-0.87] for biochemical tissue triglyceride measurement, p < 0.0001 for all). Several spectrophotometric parameters were also independently predictive of large droplet steatosis. In conclusion, hepatic steatosis can accurately be assessed using a portable, commercially available hand-held spectrophotometer device. If similarly accurate in human livers, this technique could be utilized as a point-of-care tool for the quantitation of steatosis, which may be especially valuable in assessing livers during deceased donor organ procurement.
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Affiliation(s)
- K S Kanamori
- Signal Transduction and Molecular Nutrition Laboratory, Kogod Aging Center, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - M G Tarragó
- Signal Transduction and Molecular Nutrition Laboratory, Kogod Aging Center, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - A Jones
- Clinical Pathology Associates, Austin, TX, USA
| | - E H Cheek
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - G M Warner
- Signal Transduction and Molecular Nutrition Laboratory, Kogod Aging Center, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - S M Jenkins
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - D Povero
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - R P Graham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - T Mounajjed
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - M F Chedid
- Liver and Pancreas Transplant and Hepatobiliary Surgery Unit, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - B D Sabat
- Faculdade de Ciências Médicas, Universidade de Pernambuco, Recife, Brazil
| | - M S Torbenson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - J K Heimbach
- Division of Transplant Surgery, William J. von Liebig Transplant Center, Mayo Clinic, Rochester, MN, USA
| | - E N Chini
- Signal Transduction and Molecular Nutrition Laboratory, Kogod Aging Center, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - R K Moreira
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
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