| Chapter title |
Biomarkers in major depressive disorder: the role of mass spectrometry.
|
|---|---|
| Chapter number | 27 |
| Book title |
Advancements of Mass Spectrometry in Biomedical Research
|
| Published in |
Advances in experimental medicine and biology, January 2014
|
| DOI | 10.1007/978-3-319-06068-2_27 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-906067-5, 978-3-31-906068-2
|
| Authors |
Alisa G. Woods, Dan V. Iosifescu, Costel C. Darie, Woods AG, Iosifescu DV, Darie CC |
| Abstract |
Major depressive disorder (MDD) is common. Despite numerous available treatments, many individuals fail to improve clinically. MDD continues to be diagnosed exclusively via behavioral rather than biological methods. Biomarkers-which include measurements of genes, proteins, and patterns of brain activity-may provide an important objective tool for the diagnosis of MDD or in the rational selection of treatments. Proteomic analysis and validation of its results as biomarkers is less explored than other areas of biomarker research in MDD. Mass spectrometry (MS) is a comprehensive, unbiased means of proteomic analysis, which can be complemented by directed protein measurements, such as Western Blotting. Prior studies have focused on MS analysis of several human biomaterials in MDD, including human post-mortem brain, cerebrospinal fluid (CSF), blood components, and urine. Further studies utilizing MS and proteomic analysis in MDD may help solidify and establish biomarkers for use in diagnosis, identification of new treatment targets, and understanding of the disorder. The ultimate goal is the validation of a biomarker or a biomarker signature that facilitates a convenient and inexpensive predictive test for depression treatment response and helps clinicians in the rational selection of next-step treatments. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 22% |
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 6 | 13% |
| Student > Master | 5 | 11% |
| Professor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Agricultural and Biological Sciences | 5 | 11% |
| Neuroscience | 4 | 9% |
| Psychology | 2 | 4% |
| Other | 8 | 18% |
| Unknown | 13 | 29% |