Stability of Cellular Immune Parameters over 12 Weeks in Patients with Major Depression or Somatoform Disorder and in Healthy Controls

SVM-Based Model Combining Patients' Reported Outcomes and Lymphocyte Phenotypes of Depression in Systemic Lupus Erythematosus

BACKGROUND

The incidence of depression in patients with systemic lupus erythematosus (SLE) is high and leads to a lower quality of life than that in undepressed SLE patients and healthy individuals. The causes of SLE depression are still unclear.

METHODS

A total of 94 SLE patients were involved in this study. A series of questionnaires (Hospital Depression Scale, Social Support Rate Scale and so on) were applied. Flow cytometry was used to test the different stages and types of T cells and B cells in peripheral blood mononuclear cells. Univariate and multivariate analyses were conducted to explore the key contributors to depression in SLE. Support Vector Machine (SVM) learning was applied to form the prediction model.

RESULTS

Depressed SLE patients showed lower objective support, severer fatigue, worse sleep quality and higher percentages of ASC%PBMC, ASC%CD19+, MAIT, TEM%Th, TEMRA%Th, CD45RA+CD27-Th, TEMRA%CD8 than non-depressed patients. A learning-based SVM model combining objective and patient-reported variables showed that fatigue, objective support, ASC%CD19+, TEM%Th and TEMRA%CD8 were the main contributing factors to depression in SLE. With the SVM model, the weight of TEM%Th was 0.17, which is the highest among objective variables, and the weight of fatigue was 0.137, which was the highest among variables of patients' reported outcomes.

CONCLUSIONS

Both patient-reported factors and immunological factors could be involved in the occurrence and development of depression in SLE. Scientists can explore the mechanism of depression in SLE or other psychological diseases from the above perspective.

Blood concentrations of neopterin and biopterin in subjects with depression: A systematic review and meta-analysis

INTRODUCTION

Pteridines, such as neopterin, biopterin, and tetrahydrobiopterin (BH₄), may be involved in depression pathophysiology owing to their links to immune-inflammatory response, oxidative and nitrosative stress, and monoaminergic transmission. Nonetheless, studies assessing pteridines in depression are inconsistent. We conducted a systematic review and meta-analysis of observational studies comparing blood pteridine concentrations between subjects with depression and healthy controls (HCs).

METHODS

We searched Embase, MEDLINE, and PsycInfo for articles indexed through November 2021. Study quality was appraised, evaluating age and gender comparability between groups, sample representativeness, and methods to assess depression. Random-effects meta-analyses were carried out, generating pooled standardized mean differences (SMDs). Heterogeneity across studies was estimated using the I² statistic.

RESULTS

Twenty-four studies, involving 3075 subjects, were included. Individuals with depression showed blood neopterin concentrations higher than HCs (k = 19; SMD = 0.36; p < 0.001) with moderate heterogeneity across studies (I² = 58.2%). No moderating role of age, gender, or type of blood sample was found. Sensitivity analyses showed no impact of inconsistency and quality of studies on findings. Neopterin concentrations were higher among individuals with major depressive disorder compared to HCs (SMD = 0.44; p < 0.001). This held true also when considering only drug-free subjects (SMD = 0.68; p = 0.003). No differences in biopterin concentrations were found between subjects with depression and HCs (k = 5; SMD = -0.35; p = 0.086), though this result was limited by inconsistency of findings (I² = 77.9%) and quality of studies. Finally, no sufficient data were available for a meta-analysis on BH₄.

CONCLUSIONS

As a whole, our work partly supports the hypothesis of an imbalance of pteridine metabolism in depression.

Immune cell composition in unipolar depression: a comprehensive systematic review and meta-analysis

Depression has been associated with inflammatory pathophysiological mechanisms, including alterations in amount of circulating immune cells. However, no meta-analysis within the past 20 years have reevaluated the circulating immune cells in blood and cerebrospinal fluid (CSF) from patients with depression compared to healthy controls. The aim of this study was to systematically evaluate the circulating immune cells in blood and CSF from patients with unipolar depression compared to healthy controls. Databases were searched up until February 12, 2021. Data-extraction was performed by two independent reviewers. 104 studies were included in the meta-analysis using fixed and random-effects models. Patients with depression had a significantly higher overall leukocyte count (35 studies; SMD, 0.46; 95% CI: 0.31-0.60, I² = 68%), higher neutrophil count (24 studies; SMD, 0.52; 95% CI: 0.33-0.71, I² = 77%) and higher monocyte count (27 studies; SMD, 0.32; 95% CI: 0.11-0.53, I² = 77%) compared to healthy controls. Leukocyte counts were higher in inpatients, indicating a relation to depression severity. Furthermore, there were significant alterations in several lymphocyte subsets, including higher natural killer cells and T cell subsets. Higher neutrophil/lymphocyte ratio (11 studies; SMD = 0.24; 95% CI: 0.06-0.42, I² = 73%), CD4/CD8 cell-ratio (26 studies; SMD = 0.14; 95% CI: 0.01-0.28, I² = 42%) and T helper 17/T regulatory ratio (2 studies; SMD = 1.05; 95% CI: 0.15-1.95, I² = 86%) were found in patients compared to healthy controls. CSF white cell count was higher in patients compared to controls (3 studies; SMD = 0.20; 95% CI: 0.01-0.38, I² = 0%). There were no data for CSF cell subsets. This study suggests that there are several blood immune cell alterations in patients with unipolar depression compared to healthy controls, both in major leukocyte subsets and more specialized immune cell subsets.