| Literature DB >> 29531242 |
Brawnie Petrov1, Ayat Aldoori1, Cindy James2, Kefeng Yang1,3, Guillermo Perez Algorta4, Aejin Lee1, Liwen Zhang2, Tao Lin5, Reem Al Awadhi6, Jonathan R Parquette5, Arpad Samogyi2, L Eugene Arnold7, Mary A Fristad7, Barbara Gracious7,8, Ouliana Ziouzenkova9.
Abstract
Genetic, dietary, and inflammatory factors contribute to the etiology of major mood disorders (MMD), thus impeding the identification of specific biomarkers to assist in diagnosis and treatment. We tested association of vitamin D and inflammatory markers in 36 adolescents with bipolar disorder (BD) and major depressive disorder (MDD) forms of MMD and without MMD (non-mood control). We also assessed the overall level of inflammation using a cell-based reporter assay for nuclear factor kappa-B (NFκB) activation and measuring antibodies to oxidized LDL. We found that these factors were similar between non-mood and MMD youth. To identify potential biomarkers, we developed a screening immunoprecipitation-sequencing approach based on inflammatory brain glia maturation factor beta (GMFβ). We discovered that a homolog of GMFβ in human plasma is vitamin D-binding protein (DBP) and validated this finding using immunoprecipitation with anti-DBP antibodies and mass spectrometry/sequencing analysis. We quantified DBP levels in participants by western blot. DBP levels in BD participants were significantly higher (136%) than in participants without MMD (100%). The increase in DBP levels in MDD participants (121.1%) was not statistically different from these groups. The DBP responds early to cellular damage by binding of structural proteins and activating inflammatory cells. A product of enzymatic cleavage of DBP has been described as macrophage-activating factor. Circulating DBP is comprised of heterogenous high and low molecular fractions that are only partially recognized by mono- and polyclonal ELISA and are not suitable for the quantitative comparison of DBP in non-mood and MDD participants. Our data suggest DBP as a marker candidate of BD warranting its validation in a larger cohort of adolescent and adult MMD patients.Entities:
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Year: 2018 PMID: 29531242 PMCID: PMC5847532 DOI: 10.1038/s41398-018-0109-7
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222
Comparison of different variables in non-mood control and MMD participants
| Variable | Non-mood ( | MDD ( | BD ( |
|---|---|---|---|
| Mean ± s.d. | Mean ± s.d. | Mean ± s.d. | |
| Age (years) | 14 ± 2.42 | 14.09 ± 1.22 | 13.9 ± 2.02 |
| BMI (kg/m2) | 26.59 ± 10.65 | 28.57 ± 4.19 | 22.71 ± 6.17*,a |
| Vitamin D (AU) | 21.9 ± 7.26 | 21.01 ± 7.63 | 27.59 ± 9.59 |
| IL-6 (AU) | 4.71 ± 1.84 | 3.99 ± 0.22 | 3.95 ± 0.16 |
| NFκB activation (AU) | 85.64 ± 18.49 | 92.26 ± 37.55 | 135.27 ± 88.58 |
Data are shown as mean ± standard deviation (s.d.). One-way ANOVA set at p < 0.05 was used for group comparison. Asterisk indicates significant difference, the remaining differences among groups were not significant
aGroup comparison between BD group with MMD group, f-ratio value is 6.28. The p-value is 0.022
Correlation matrix of variables
| Variables | Vitamin D (AU) | BMI (kg/m2) | oxLDL (AU) | IL-6 (AU) | NFκB (AU) |
|---|---|---|---|---|---|
| Vitamin D (AU) | |||||
| BMI (kg/m2) | −0.44 ( | ||||
| oxLDL (AU) | −0.34 ( | −.30 (.09) | |||
| IL-6 (AU) | −0.35 | 0.29 ( | −0.061 (0.73) | ||
| NFκB (AU) | 0.098(0.57) | −0.21(.21) | 0.26 (0.12) | −0.10 (0.56) |
Correlations of variables based on two-tailed significance were measured by Pearson test in cohort of patients with and without MMD. Pearson correlation coefficient (r) and significance (p-values are shown in parenthesis, bold values indicates significant p-values) are shown
Fig. 1Serum 25-hydroxy vitamin D levels are inversely correlated with BMI in combined groups.
Inverse linear correlation between vitamin D concentrations in plasma and BMI measured in combined groups of patients with and without MMD. Pearson correlation
Fig. 2Increased DBP levels in participants with BD.
a Representative western blot image shows total DBP in plasma from randomly selected participants without MMD (non-mood control), with MDD, and with BD. High and low molecular weight portions of heterogenous DBP are indicated by arrows (DBP-H and DBP-L, respectively). The separation was performed using 10% polyacrylamide gel. b Total DBP levels were quantified based on western blot analysis in serum obtained from participants in control, MMD, and BD groups. Each blot contained control, BD, MDD, and standard. Standard comprised of equal aliquots from plasma of all participants. DBP was quantified based on the density of bands and normalized across membranes using standard (arbitrary density of the standard was set as 100% in each blot). Lines represent the values obtained from individual patients after normalization by standard. Red lines show the mean value in each group. Group comparison was measured using ANOVA one-way analysis. c Four randomly selected plasma samples from patients with and without BD were purified from albumin and analyzed using western blot before and after albumin purification
Correlation matrix of variables in non-mood control, BD, and MDD groups
| Non-mood | MDD | BD | ||
|---|---|---|---|---|
| Monoclonal DBP (ng/mL) | DBP | 0.36 (0.22) | −0.23 (0.55) | −0.36 (0.36) |
| Polyclonal DBP (ng/mL) | DBP | 0.43 (0.14) | −0.40 (0.29) | −0.13 (0.70) |
| NFκB (AU) | DBP | 0.40 (0.20) | 0.15 (0.70) | −0.13 (0.70) |
| Vitamin D (AU) | DBP | 0.17 (0.54) | −0.02 (0.97) | −0.18 (0.59) |
| BMI (kg/m2) | DBP | 0.18 (0.55) | −0.27 (0.49) | 0.20 (0.54) |
| IL-6 (AU) | DBP | 0.22 (0.46) | 0.43 (0.24) | −0.39 (0.21) |
| oxLDL (AU) | DBP | 0.11 (0.75) | −0.15 (0.70) | 0.01 (0.77) |
Correlations of variables based on two-tailed significance are shown in a cohort of patients with and without MMD. Spearman correlation correlation coefficient (r) and significance (p < 0.05) are shown
Fig. 3Different associations between serum vitamin D levels and DBP measured by polyclonal anti-DBP ELISA or western blot in study groups with and without MMD.
Vitamin D (25-hydroxy vitamin D) levels were measured in serum by HPLC. a–c Linear correlation between vitamin D and DBP measured by polyclonal ELISA in participants without MMD (non-mood controls) (a) and in those with MDD (b), and in those with BD (c). d–f Linear correlation between vitamin D and DBP measured by western blot in participants without MMD (non-mood controls) (d) and in those with MDD (e), and in those with BD (f). Significance was examined using Pearson test, p > 0.05 was not significant