Chapter title |
Multiplex Biomarker Approaches in Type 2 Diabetes Mellitus Research.
|
---|---|
Chapter number | 3 |
Book title |
Multiplex Biomarker Techniques
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6730-8_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6729-2, 978-1-4939-6730-8
|
Authors |
Susan E. Ozanne, Hassan Rahmoune, Paul C. Guest, Ozanne, Susan E, Rahmoune, Hassan, Guest, Paul C, Ozanne, Susan E., Guest, Paul C. |
Editors |
Paul C. Guest |
Abstract |
Type 2 diabetes mellitus is a multifactorial condition resulting in high fasting blood glucose levels. Although its diagnosis is straightforward, there is not one set of biomarkers or drug targets that can be used for classification or personalized treatment of individuals who suffer from this condition. Instead, the application of multiplex methods incorporating a systems biology approach is essential in order to increase our understanding of this disease. This chapter reviews the state of the art in biomarker studies of human type 2 diabetes from a proteomic and metabolomic perspective. Our main focus was on biomarkers for disease prediction as these could lead to early intervention strategies for the best possible patient outcomes. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 18% |
Student > Master | 5 | 18% |
Researcher | 4 | 14% |
Student > Postgraduate | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Unknown | 7 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 39% |
Biochemistry, Genetics and Molecular Biology | 4 | 14% |
Nursing and Health Professions | 3 | 11% |
Environmental Science | 1 | 4% |
Computer Science | 1 | 4% |
Other | 3 | 11% |
Unknown | 5 | 18% |