Title |
LecT-Hepa facilitates estimating treatment outcome during interferon therapy in chronic hepatitis C patients
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Published in |
Clinical Proteomics, December 2014
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DOI | 10.1186/1559-0275-11-44 |
Pubmed ID | |
Authors |
Xia Zou, Xiumei Chi, Yu Pan, Dongning Du, Haibo Sun, Atsushi Matsuda, Wei Li, Atsushi Kuno, Xinxin Zhang, Hisashi Narimatsu, Junqi Niu, Yan Zhang |
Abstract |
A combination treatment of interferon and ribavirin is the standard and the commonly used treatment for chronic hepatitis C (CHC). Developing noninvasive tests like serum indicators that can predict treatment outcome at an early stage of therapy is beneficial for individualized treatment and management of CHC. A glyco-indicator based on the glyco-alteration of serum α1-acid glycoprotein, LecT-Hepa, was discovered by glycomics technologies as a robust indicator of liver fibrosis. Here, we investigated the clinical utility of LecT-Hepa for evaluation of treatment outcome. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 7% |
Canada | 1 | 7% |
Unknown | 12 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 36% |
Researcher | 4 | 29% |
Professor | 1 | 7% |
Other | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 36% |
Biochemistry, Genetics and Molecular Biology | 4 | 29% |
Agricultural and Biological Sciences | 1 | 7% |
Unknown | 4 | 29% |