| Chapter title |
The role of psychoneuroimmunology in personalized and systems medicine.
|
|---|---|
| Chapter number | 1 |
| Book title |
Psychoneuroimmunology
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-62703-071-7_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-070-0, 978-1-62703-071-7
|
| Authors |
Qing Yan, Yan, Qing |
| Abstract |
Psychoneuroimmunology (PNI) may provide the scientific basis for personalized and systems medicine. The exploration of the extensive interactions among psychological and behavioral factors, the nervous system, the immune system, and the endocrine system may help understand the mechanisms underlying health, wellness, and diseases. PNI theories based on systems biology methodologies may contribute to the identification of patient patterns for establishing psychological and physiological profiles for personalized medicine. A biopsychosocial model will help elucidate the systemic interrelationships between psychosocial and bio-physiological factors for the development of systems medicine. Many evidences have supported the close relationships between stress, depression, inflammation, and disorders including obesity, cardiovascular disease, diabetes, arthritis, skin diseases, infectious diseases, and sleep disorders. As inflammation is a critical connection among different diseases, the elucidation of the associations may contribute to the findings of systemic therapeutic targets. With the understanding of the translational implications of PNI, integrative interventions in multiple dimensions can be applied to modulate stress responses and promote healthier behaviors. These interventions include combination drug therapies, diets, nutritional supplements, meditation, and other behavioral and mind-body strategies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 19% |
| Student > Master | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 18 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 26% |
| Nursing and Health Professions | 8 | 13% |
| Psychology | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Neuroscience | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 18 | 29% |