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Can I read Clinical Application of Quantitative Glycomics on EtoBox?
Clinical Application of Quantitative Glycomics by Wenjing Peng; Jingfu Zhao; Xue Dong; Alireza Banazadeh; Yifan Huang; Ahmed Hussien; Yehia Mechref is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Clinical Application of Quantitative Glycomics about?
Aberrant glycosylation has been associated with many diseases. Decades of research activities have reported many reliable glycan biomarkers of different diseases which enable effective disease diagnostics and prognostics. However, none of the glycan markers have been approved for clinical diagnosis. Thus, a review of these studies is needed to guide the successful clinical translation. Area covered: In this review, we describe and discuss advances in analytical methods enabling clinical glycan biomarker discovery, focusing only on studies of released glycans. This review also summarizes the different glycobiomarkers identified for cancers, Alzheimer's disease, diabetes, hepatitis B and C, and other diseases. Expert commentary: Along with the development of techniques in quantitative glycomics, more glycans or glycan patterns have been reported as better potential biomarkers of different diseases and proved to have greater diagnostic/diagnostic sensitivity and specificity than existing markers. However, to successfully apply glycan markers in clinical diagnosis, more studies and verifications on large biological cohorts need to be performed. In addition, faster and more efficient gl
Who reads Clinical Application of Quantitative Glycomics?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Wenjing Peng; Jingfu Zhao; Xue Dong; Alireza Banazadeh; Yifan Huang; Ahmed Hussien; Yehia Mechref
- Publisher
- Expert Reviews; Informa UK (Taylor & Francis); Taylor & Francis; Informa UK Limited (ISSN 1478-9450)
- Published
- 2018
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)