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Yan J, Yu Y, Kang JW, Tam ZY, Xu S, Fong ELS, Singh SP, Song Z, Tucker-Kellogg L, So PTC, Yu H. Development of a classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy. J Biophotonics 2017; 10. [PMID: 28635128 PMCID: PMC5902180 DOI: 10.1002/jbio.201600303] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common liver disorder in developed countries [1]. A subset of individuals with NAFLD progress to non-alcoholic steatohepatitis (NASH), an advanced form of NAFLD which predisposes individuals to cirrhosis, liver failure and hepatocellular carcinoma. The current gold standard for NASH diagnosis and staging is based on histological evaluation, which is largely semi-quantitative and subjective. To address the need for an automated and objective approach to NASH detection, we combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established NASH mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression. By employing a selected pool of biochemical components, we identified biochemical changes specific to NASH and show that the classification model is capable of accurately detecting NASH (AUC=0.85-0.87) in mice. The unique biochemical fingerprint generated in this study may serve as a useful criterion to be leveraged for further validation in clinical samples.
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Affiliation(s)
- Jie Yan
- Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A*STAR), Singapore 138669
| | - Yang Yu
- Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A*STAR), Singapore 138669
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 2 Medical Drive, Singapore 117597
- BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Jeon Woong Kang
- Laser Biomedical Research Center, George R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Zhi Yang Tam
- BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Shuoyu Xu
- InvitroCue Pte Ltd, Singapore 138667
| | - Eliza Li Shan Fong
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 2 Medical Drive, Singapore 117597
| | - Surya Pratap Singh
- Laser Biomedical Research Center, George R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Ziwei Song
- Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A*STAR), Singapore 138669
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 2 Medical Drive, Singapore 117597
| | - Lisa Tucker-Kellogg
- BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore 138602
- Duke-NUS Graduate Medical School Singapore, National University of Singapore, Singapore 169857
| | - Peter T. C. So
- BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore 138602
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Hanry Yu
- Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A*STAR), Singapore 138669
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 2 Medical Drive, Singapore 117597
- BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore 138602
- Mechanobiology Institute, National University of Singapore, Singapore 117411
- Corresponding author: , Tel. No. +65 65163466, Fax No. +65 68748261
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