Circulating cerebral S100B protein is associated with depressive symptoms following myocardial infarction

Circulating S100B levels at birth and risk of six major neuropsychiatric or neurological disorders: a two-sample Mendelian Randomization Study

Circulating levels of the astrocytic marker S100B have been associated with risk of neuropsychiatric or neurological disorders. However, reported effects have been inconsistent, and no causal relations have yet been established. We applied two-sample Mendelian Randomization (MR) on the association statistics from genome-wide association studies (GWAS) for circulating S100B levels measured 5-7 days after birth (the iPSYCH sample) and in an older adult sample (mean age, 72.5 years; the Lothian sample), upon those derived from major depression disorder (MDD), schizophrenia (SCZ), bipolar disorder (BIP), autism spectral disorder (ASD), Alzheimer's disease (AD), and Parkinson's disease (PD). We studied the causal relations in the two S100B datasets for risk of these six neuropsychiatric disorders. MR suggested increased S100B levels 5-7 days after birth to causally increase the risk of MDD (OR = 1.014; 95%CI = 1.007-1.022; FDR-corrected p = 6.43×10-4). In older adults, MR suggested increased S100B levels to have a causal relation to the risk of BIP (OR = 1.075; 95%CI = 1.026-1.127; FDR-corrected p = 1.35×10-2). No significant causal relations were found for the other five disorders. We did not observe any evidence for reverse causality of these neuropsychiatric or neurological disorders on altered S100B levels. Sensitivity analyses using more stringent SNP-selection criteria and three alternative MR models suggested the results are robust. Altogether, our findings imply a small cause-effect relation for the previously reported associations of S100B and mood disorders. Such findings may provide a novel avenue for the diagnosis and management of disorders.

Effects of mobile phone electromagnetic radiation on rat hippocampus proteome

Worldwide, the number of mobile phone users has increased from 5.57 billion in 2011 to 6.8 billion in 2019. However, short- and long-term impact of the electromagnetic radiation emitting from mobile phones on tissue homeostasis with particular to brain proteome composition needs further investigation. In this study, we attempted a global proteome profiling study of rat hippocampus exposed to mobile phone radiation for 20 weeks (for 3 h/day for 5 days/week) to identify deregulated proteins and western blot analysis for validation. As a result, we identified 358 hippocampus proteins, of which 16 showed deregulation (log₂ (exposed/sham) ≥ ±1.0, p-value <.05). Majority of these deregulated proteins grouped into three clusters sharing similar molecular pathways. A set of four proteins (Succinate-semialdehyde dehydrogenase: Aldh5a1, Na⁺ K⁺ transporting ATPase: Atp1b2, plasma membrane calcium transporting ATPase: PMCA and protein S100B) presenting each functional pathway were selected for validation. Western blot analysis of these proteins, in an independent sample set, corroborated the mass spectrometry findings. Aldh5a1 involve in cellular energy metabolism, both Atp1b2 and PMCA responsible for membrane transport and protein S100B have a neuroprotective role. In conclusion, we present a deregulated hippocampus proteome upon mobile phone radiation exposure, which might influence the healthy functioning of the brain.

Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning

INTRODUCTION

S100 calcium-binding protein B (S100B) is a neurotrophic factor that regulates neuronal growth and plasticity by activating astrocytes and microglia through the production of cytokines involved in Generalized Anxiety Disorder (GAD). However, few studies have combined S100B and cytokines to explore their role as neuro-inflammatory biomarkers in GAD.

METHODS

Serum S100B and cytokines (IL-1β, IL-2, IL-4, and IL-10) of 108 untreated GAD cases and 123 healthy controls (HC) were determined by enzyme-linked immunosorbent assay (ELISA), while Hamilton Anxiety Rating Scale (HAMA) scores and Hamilton Depression Rating Scale (HAMD) scores were measured to evaluate anxiety and depression severity. This was used to help physicians identify persons having GAD. Machine learning techniques were applied for feature ordering of cytokines and S100B and the classification of persons with GAD and HC.

RESULTS

The serum S100B, IL-1β, and IL-2 levels of GAD cases were significantly lower than HC (P < 0.001), and the IL-4 level in persons with GAD was significantly higher than HC (P < 0.001). At the same time, IL-10 had no significant difference between the two groups (P = 0.215). The feature ranking distinguishing GAD from HC using machine learning ranked the features in the following order: IL-2, IL-1β, IL-4, S100B, and IL-10. The accuracy of S100B combined with IL-1β, IL-2, IL-4, and IL-10 in distinguishing persons with GAD from HC was 94.47 ± 2.06% using an integrated back propagation neural network based on a bagging algorithm (BPNN-Bagging).

CONCLUSION

The serum S-100B, IL-1β, and IL-2 levels in persons with GAD were down-regulated while IL-4 was up-regulated. The combination of S100B and cytokines had a good diagnosis value in determining GAD with an accuracy of 94.47%. Machine learning was a very effective method to study neuro-inflammatory biomarkers interacting with each other and mediated by plenty of factors.

Antidepressive effect of mirtazapine in post-myocardial infarction depression is associated with soluble TNF-R1 increase: data from the MIND-IT

BACKGROUND

Depressive disorder after myocardial infarction (MI) is associated with increased cardiac morbidity and mortality. Immune activity such as inflammation might be implicated as an underlying mechanism. The purpose of this study is to investigate whether the response to an antidepressant in post-MI depression is associated with changes of inflammatory markers in serum.

METHODS

In a double-blind placebo-controlled study with mirtazapine 30 mg/day (50 patients), the antidepressive effect was related to immune activation parameters. The cytokines interleukin 6 (IL-6) and tumor necrosis factor α (TNF-α), the soluble cytokine receptors sIL-6R, sTNF-R1 and sTNF-R2, and the inflammation-sensitive plasma proteins C-reactive protein and neopterin were assessed.

RESULTS

Subgroup analyses revealed a highly significant correlation of pronounced sTNF-R1 increase with a decrease in depressive symptoms in antidepressant responders.

CONCLUSION

Significant effects on inflammation accompany the therapeutic efficacy of mirtazapine in contrast to the therapeutic efficacy of placebo and the nontherapeutic efficacy of mirtazapine.

Multiple pulmonary thromboembolism and severe depression

INTRODUCTION

Depression is known to have a bidirectional relationship with cardiovascular disease. Severe major depression associated with psychomotor retardation and immobility can be a risk factor for pulmonary embolism; the reverse pathway has not been reported.

CASE REPORT

We report a case of a 61-year-old man diagnosed with multiple pulmonary thromboembolism finally attributed to a right pulmonary artery intraluminal sarcoma. One month after the onset of presenting symptoms, the patient suddenly developed an episode of severe, melancholic depression, which remitted in six weeks under treatment with venlafaxine 225 mg/day.

DISCUSSION

Pathophysiological mechanisms implicated in the development of depression in our patient might resemble those postulated for post-myocardial infarction depression; in line with the "vascular depression" hypothesis, cerebral damage in the limbic circuitry caused by transient hypoxia, an inflammatory response or both may have contributed.

CONCLUSION

Multiple pulmonary thromboembolism seems to have a bidirectional relationship with major depression, in a similar way as myocardial infarction does.