| Literature DB >> 32699226 |
Yanni Zhan1,2,3, Yanling Zhou1,3, Wei Zheng1,3, Weijian Liu1,2,3, Chengyu Wang1,3, Xiaofeng Lan1,3, Xiurong Deng1,3, Yan Xu1,3, Bin Zhang1,3, Yuping Ning4,5,6.
Abstract
Increasing evidence has demonstrated that inflammatory cytokines play an important role in major depressive disorder (MDD) and are associated with treatment outcomes. Few studies have explored the trajectories of multiple inflammatory cytokines after repeated ketamine infusions in MDD. In this study, we conducted a secondary analysis to investigate the impact of ketamine on the modulation of the inflammatory pathway in depression and whether this pathway contributes to the antidepressant properties of ketamine. A total of 60 patients with depression received six ketamine infusions (0.5 mg/kg) during a 12-day period. The Montgomery-Asberg Scale (MADRS) was administered, and blood samples were collected at baseline and 24 h and 14 days after the sixth infusion (days 0, 13, and 26). Plasma levels of the 19 cytokines were measured using the Luminex assay. At baseline, inflammatory cytokines were associated with the severity of depression. The concentrations of pro- and anti-inflammatory factors, including granulocyte macrophage colony-stimulating factor (GM-CSF), fractalkine, interferon gamma (IFN-γ), interleukin (IL)-10, IL-12p70, IL-17A, IL-1β, IL-2, IL-4, IL-23, IL-5, IL-6, IL-7, and tumor necrosis factor alpha (TNF-α), were downregulated after repeated ketamine administration (all p < 0.05). In addition, alterations in the levels of IL-17A (r = -0.259, p = 0.046) and IL-6 (r = -0.262, p = 0.043) were correlated with symptom improvement. A lower level of interferon-inducible T cell alpha chemoattractant (ITAC) at baseline was predictive of ketamine treatment response on day 13 according to a stepwise linear regression analysis (β = -0.296, p = 0.040). Our results suggest that the inflammatory pathway may be involved in the antidepressant effects of ketamine, which may be conducive to future treatment strategy optimization.Entities:
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Year: 2020 PMID: 32699226 PMCID: PMC7376102 DOI: 10.1038/s41398-020-00933-z
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222
Baseline demographic and clinical characteristics.
| Variables | Total sample ( | |
|---|---|---|
| % | ||
| Male sex | 22 | 36.7% |
| Married | 30 | 50.0% |
| Employed | 24 | 40.0% |
| Living alone | 5 | 8.3% |
| History of psychiatric hospitalization | 12 | 20.0% |
| Family history of psychiatric disorders | 16 | 26.7% |
| Major medical condition(s) | 12 | 20.0% |
| Current smoking | 6 | 10.0% |
| Current drinking | 1 | 1.7% |
| >1 antidepressant | 9 | 15.0% |
| On mood stabilizer | 12 | 20.0% |
| On benzodiazepine | 31 | 51.7% |
| On antipsychotic | 37 | 61.7% |
| Age (years) | 34.45 | 11.92 |
| Education (years) | 12.35 | 3.28 |
| BMI (kg/m2) | 22.35 | 3.35 |
| Age of onset (years) | 28.30 | 11.83 |
| Duration of illness (months) | 70.10 | 61.25 |
| FLUeq | 39.83 | 22.17 |
| CPZeq | 106.18 | 120.08 |
| Baseline MADRS total score | 32.22 | 7.96 |
BMI body mass index, FLUeq fluoxetine equivalents milligrams, CPZeq chlorpromazine equivalent milligrams, MADRS Montgomery–Asberg Depression Rating Scale.
Correlation of the MADRS scores and level of cytokines at baseline.
| Variables | Concentration | MADRS scores | |
|---|---|---|---|
| Mean ± SD | |||
| ITAC | 1.12 ± 0.25 | −0.001 | 0.996 |
| GM-CSF | 1.66 ± 0.36 | 0.200 | 0.125 |
| Fractalkine | 2.49 ± 0.25 | 0.234 | 0.072 |
| IFN-γ | 0.99 ± 0.24 | 0.087 | 0.507 |
| IL-10 | 1.14 ± 0.50 | 0.268 | |
| MIP-3α | 1.08 ± 0.35 | 0.181 | 0.166 |
| IL-12p70 | 0.38 ± 0.35 | 0.365 | |
| IL-13 | 0.54 ± 0.38 | 0.324 | |
| IL-17A | 0.91 ± 0.29 | 0.297 | |
| IL-1β | 0.09 ± 0.34 | 0.270 | |
| IL-2 | 0.51 ± 0.33 | 0.297 | |
| IL-4 | 1.47 ± 0.24 | 0.205 | 0.122 |
| IL-23 | 2.32 ± 0.45 | 0.310 | |
| IL-5 | 0.70 ± 0.43 | 0.282 | |
| IL-6 | 0.22 ± 0.34 | 0.300 | |
| IL-7 | 0.91 ± 0.34 | 0.297 | |
| IL-8 | 0.37 ± 0.26 | 0.208 | 0.112 |
| MIP-1β | 1.14 ± 0.33 | −0.290 | |
| TNF-α | 0.57 ± 0.17 | 0.106 | 0.418 |
All concentrations are presented as natural log-transformed (pg/ml).
ITAC interferon-inducible T cell alpha chemoattractant, GM-CSF granulocyte macrophage colony-stimulating factor, IFN-γ interferon gamma, IL interleukin, MIP macrophage inflammatory protein, TNF-α tumor necrosis factor alpha, MADRS Montgomery–Asberg Depression Rating Scale.
Bolded values are p < 0.05.
Comparison of plasma cytokines after six ketamine infusions using linear mixed-model analysis.
| Variables | Day 13 vs day 0 | Day 26 vs day 0 | ||||
|---|---|---|---|---|---|---|
| MADRS | 111.313 | 12.821 | 12.802 | |||
| ITAC | 1.430 | 4.617 | −1.186 | 0.725 | 0.438 | 1.000 |
| GM-CSF | 6.123 | −0.389 | 1.000 | 2.857 | ||
| Fractalkine | 13.211 | 0.138 | 1.000 | 4.517 | ||
| IFN-γ | 7.759 | 0 | 1.000 | 3.375 | ||
| IL-10 | 7.475 | −0.091 | 1.000 | 3.364 | ||
| MIP-3α | 6.111 | −0.683 | 1.000 | 2.634 | 0.052 | |
| IL-12p70 | 8.557 | −0.333 | 1.000 | 3.133 | ||
| IL-13 | 2.341 | 0.855 | 0.657 | 1.000 | 2.171 | 0.182 |
| IL-17A | 10.325 | −0.375 | 1.000 | 3.688 | ||
| IL-1β | 5.841 | −0.229 | 1.000 | 2.886 | ||
| IL-2 | 7.467 | 0.273 | 1.000 | 3.424 | ||
| IL-4 | 4.034 | 0.095 | 0.700 | 1.000 | 2.800 | |
| IL-23 | 5.813 | −0.048 | 1.000 | 2.977 | ||
| IL-5 | 6.993 | −0.282 | 1.000 | 3.128 | ||
| IL-6 | 6.157 | 0.933 | 1.000 | 3.378 | ||
| IL-7 | 8.438 | −0.152 | 1.000 | 3.485 | ||
| IL-8 | 4.941 | −1.571 | 0.482 | 1.543 | 0.992 | |
| MIP-1β | 2.819 | 0.526 | 1.250 | 0.956 | 2.292 | 0.214 |
| TNF-α | 9.89 | 0.385 | 1.000 | 4.000 | ||
ITAC interferon-inducible T cell alpha chemoattractant, GM-CSF granulocyte macrophage colony-stimulating factor, IFN-γ interferon gamma, IL interleukin, MIP macrophage inflammatory protein, TNF-α tumor necrosis factor alpha, MADRS Montgomery–Asberg Depression Rating Scale.
Bolded values are p < 0.05.
Fig. 1Change in inflammatory cytokines in MDD before and after treatment with ketamine.
ITAC interferon-inducible T cell alpha chemoattractant, GM-CSF granulocyte macrophage colony-stimulating factor, IFN-γ interferon gamma, IL interleukin, MIP macrophage inflammatory protein, TNF-α tumor necrosis factor alpha. Asterisk (*) represents significant difference between baseline and day 26 (p < 0.05).
Stepwise linear regression of reductions in MADRS scores on day 13 and level of cytokine at baseline.
| Dependent variable | Independent variable | S.E. | 95% CI | ||||
|---|---|---|---|---|---|---|---|
| Reduction in MADRS on day 13 | ITAC | −12.557 | 5.95 | −0.296 | −2.110 | 0.040 | −24.508 to −0.606 |
ITAC interferon-inducible T cell alpha chemoattractant, MADRS Montgomery–Asberg Depression Rating Scale, S.E. standard error, CI confidence interval.
There were two blocks of independent variables in this linear regression model, the first block included age, gender, BMI, dose of antidepressant, and combined use of mood stabilizer/benzodiazepine/antipsychotic, and the second block included cytokines that were significantly correlated with reduction in MADRS on day 13.