Predicting Fibrosis Progression in Renal Transplant Recipients Using Laser-Based Infrared Spectroscopic Imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-19006-1.pdf
Reference26 articles.
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2. Moss, A. & Kaplan, B. Transplantation: Utilizing the transcriptome to predict allograft fibrosis. Nat Rev Nephrol. 12, 652–653 (2016).
3. Modena, B. D. et al. Gene expression in biopsies of acute rejection and interstitial fibrosis/tubular atrophy reveals highly shared mechanisms that correlate with worse long-term outcomes. Am J Transplant. 16, 1982–98 (2016).
4. Rockey, D. C., Bell, P. D. & Hill, J. A. Fibrosis-A Common Pathway to Organ Injury and Failure. N Engl J Med. 373, 96 (2015).
5. Ekstedt, M. et al. Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up. Hepatology. 61, 1547–54 (2015).
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