| Chapter title |
Biochemical Diagnosis in Substance and Non-substance Addiction
|
|---|---|
| Chapter number | 9 |
| Book title |
Substance and Non-substance Addiction
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-981-10-5562-1_9 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-105561-4, 978-9-81-105562-1
|
| Authors |
Wenwen Shen, Huifeng Liu, Xiaohu Xie, Haixiong Liu, Wenhua Zhou, Shen, Wenwen, Liu, Huifeng, Xie, Xiaohu, Liu, Haixiong, Zhou, Wenhua |
| Abstract |
An optimal biochemical marker for addiction would be some easily traced molecules in body specimens, which indicates indulgent addictive behaviors, or susceptibility to certain addictive stimuli. In this chapter, we discussed existing literature about possible biomarkers, and classified them into three categories: origin forms and metabolites of substances, markers from biochemical responses to certain addiction, and genetic and epigenetic biomarkers suggesting susceptibility to addiction. In every category, we examined studies concerning certain type of addiction one by one, with focuses mainly on opiates, psychostimulants, and pathological gambling. Several promising molecules were highlighted, including those of neurotrophic factors, inflammatory factors, and indicators of vascular injury, and genetic and epigenetic biomarkers such as serum miRNAs. DNA methylation signatures and signal nucleotide polymorphism of candidate gene underlying the addiction. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Librarian | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 23% |
| Psychology | 5 | 13% |
| Neuroscience | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |