Plasma MicroRNA-122 as a Biomarker for Viral-, Alcohol-, and Chemical-Related Hepatic Diseases
Abstract
BACKGROUND: The liver is frequently subject to insult because of viral infection, alcohol abuse, or toxic chemical exposure. Extensive research has been conducted to identify blood markers that can better discern liver damage, but little progress has been achieved in clinical practice. Recently, circulating microRNAs (miRNAs) have been reported as potential biomarkers for the noninvasive diagnosis of cancer. In this study, we investigated whether plasma miRNAs have diagnostic utility in identifying liver disease. METHODS: The study was divided into 2 phases: marker selection by real-time quantitative PCR analysis of a small set of plasma samples, and marker validation with a large set of plasma samples from 83 patients with chronic hepatitis B viral infections, 15 patients with skeletal muscle disease, and 40 healthy controls. Two mouse model systems, d-galactosamine- and alcohol-induced liver injury, were also developed to evaluate whether differences in miRNA concentration were associated with various liver diseases. RESULTS: Among the miRNA candidates identified, miR-122 presented a disease severity–dependent change in plasma concentration in the patients and animal models. Compared with an increase in aminotransferase activity in the blood, the change in miR-122 concentration appeared earlier. Furthermore, this change was more specific for liver injury than for other organ damage and was more reliable, because the change was correlated with liver histologic stage. CONCLUSIONS: Our findings suggest that circulating miR-122 has potential as a novel, predictive, and reliable blood marker for viral-, alcohol-, and chemical-induced liver injury.
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Tissue-enriched miRNAs are increased in serum after injury to those tissues.
“It has been demonstrated previously that tissue-enriched miRNAs are increased in serum after injury to those tissues (Corsten et al., 2010;Zhang et al., 2010).”
From MicroRNA Profiling Reveals Marker of Motor Neuron Disease in ALS Models (2017) · cites this paper as Zhang et al., 2010
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Circulating microRNAs, potential biomarkers for drug-induced liver injury
Wang, K., Zhang, S., Marzolf, B., Troisch, P., Brightman, A., Hu, Z., Hood, L. E., & Galas, D. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813371106 · Cited by 1,149 · see citing works
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Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies
Pritchard, C. C., Kroh, E., Wood, B., Arroyo, J. D., Dougherty, K. J., Miyaji, M. M., Tait, J. F., & Tewari, M. (2012) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-11-0370 · Cited by 879 · see citing works
MicroRNA as Biomarkers and Diagnostics
Wang, J., Chen, J., & Sen, S. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25056 · Cited by 793 · see citing works
MicroRNAs: biomarkers, diagnostics, and therapeutics
Huang, W. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7046-9_4 · Cited by 237 · see citing works
Wang, W.-T., Zhao, Y.-N., Han, B.-W., Hong, S.-J., & Chen, Y.-Q. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2415 · Cited by 193 · see citing works
Circulating microRNAs as potential biomarkers for endometriosis
Cho, S., Mutlu, L., Grechukhina, O., & Taylor, H. S. (2015) · Fertility and Sterility · doi:10.1016/j.fertnstert.2015.02.013 · Cited by 181 · see citing works
MicroRNA Profiling Reveals Marker of Motor Neuron Disease in ALS Models
Hoye, M. L., Koval, E. D., Wegener, A. J., Hyman, T. S., Yang, C., O'Brien, D. R., Miller, R. L., Cole, T., Schoch, K. M., Shen, T., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3582-16.2017 · Cited by 82 · see citing works
Dear, J. W., & Antoine, D. J. (2014) · Expert Review of Clinical Pharmacology · doi:10.1586/17512433.2014.880650 · Cited by 34 · see citing works
- Authors
- Zhang, Y., Jia, Y., Zheng, R., Guo, Y., Wang, Y., Guo, H., Fei, M., & Sun, S.
- Affiliations
- Department of Medical Genetics, Second Military Medical University, Shanghai, China
- Department of Infectious Diseases, Changhai Hospital, Second Military Medical University, Shanghai, China
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-12-01
- Volume
- 56
- Issue
- 12
- Pages
- 1830-1838
- ISSN
- 0009-9147
- 1530-8561
- Cited by
- 340
- References
- 1
- Language
- en
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Funders
- National Natural Science Foundation of China (30901613)
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