| Title |
Cytokines and depression in cancer patients and caregivers
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, November 2017
|
| DOI | 10.2147/ndt.s144774 |
| Pubmed ID | |
| Authors |
Madeline Li, Ekaterina Kouzmina, Megan McCusker, Danielle Rodin, Paul C Boutros, Christopher J Paige, Gary Rodin |
| Abstract |
A better understanding of the biobehavioral mechanisms underlying depression in cancer is required to translate biomarker findings into clinical interventions. We tested for associations between cytokines and the somatic and psychological symptoms of depression in cancer patients and their healthy caregivers. The GRID Hamilton Rating Scale for Depression (Ham-D) was administered to 61 cancer patients of mixed type and stage, 26 primary caregivers and 38 healthy controls. Concurrently, blood was drawn for multiplexed plasma assays of 15 cytokines. Multiple linear regression, adjusted for biobehavioral variables, identified cytokine associations with the psychological (Ham-Dep) and somatic (Ham-Som) subfactors of the Ham-D. The Ham-Dep scores of cancer patients were similar to their caregivers, but their Ham-Som scores were significantly higher (twofold, p=0.016). Ham-Som was positively associated with IL-1ra (coefficient: 1.27, p≤0.001) in cancer patients, and negatively associated with IL-2 (coefficient: -0.68, p=0.018) in caregivers. Ham-Dep was negatively associated with IL-4 (coefficient: -0.67, p=0.004) in cancer patients and negatively associated with IL-17 (coefficient: -1.81, p=0.002) in caregivers. The differential severity of somatic symptoms of depression in cancer patients and caregivers and the unique cytokine associations identified with each group suggests the potential for targeted interventions based on phenomenology and biology. The clinical implication is that depressive symptoms in cancer patients can arise from biological stressors, which is an important message to help destigmatize the development of depression in cancer patients. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 14 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 17% |
| Psychology | 5 | 17% |
| Medicine and Dentistry | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2018.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,360
of 3,131 outputs
Outputs of similar age
#172,461
of 340,752 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#28
of 64 outputs
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