Generalized Anxiety Disorder (GAD) commonly co-occurs with mood disorders, especially Major Depressive Disorder (MDD) and bipolar disorder (BD), which are accompanied by activated neuro-immune and neuro-oxidative pathways. The aim of this narrative review is to review the phenomenological similarities and dissimilarities and the shared pathways between GAD and mood disorders. We searched PubMed, Scopus, and Google Scholar for articles published in English from 1980 to present. GAD and mood disorders, either MDD or BD, show some phenomenological overlaps and a high degree of comorbidity, especially between GAD and MDD. Both GAD and mood disorders are also frequently comorbid with other anxiety disorders, substance use disorders and medical conditions, including cardio- vascular disorder (CVD). Mood disorders have a worse prognosis when GAD is present. GAD and mood disorders are associated with female sex and may partly share genetic variants of risk. Moreover, both GAD and mood disorders frequently share similar environmental risks factors including Early Life Time Trauma (ELT) and Psychological Stressors in Adulthood (PSA). Increased nitro-oxidative stress and lipid peroxidation coupled to lowered lipid-associated antioxidant defenses are evident in GAD, MDD and type I bipolar patients. Patients with comorbid GAD and MDD show significantly higher nitro- oxidative biomarkers as compared with patients presenting with either GAD or MDD as well as patients with BD with or without co-occurring GAD. Activated immune-inflammatory processes characterized by increased levels of CRP and pro-inflammatory cytokines are other shared pathways that underpin GAD and mood disorders. Moreover, these pathways may explain comorbidities with medical disorders including CVD. Aberrations in HPA-axis, GABA and glutamate neurotransmission, NMDA and mu opioid-receptors and neuroimaging fields have yielded more inconsistent findings. In conclusion, here we propose a new model explaining GAD and the comorbidity between GAD and mood disorders. Common triggers such as ELT/PSA may underpin GAD and its comorbidity with mood disorders via activated neuro-oxidative, neuro-nitrosative and neuro-immune pathways.
Background: There is a strong comorbidity between mood disorders and metabolic syndrome (MetS). Increased levels of reactive oxygen and nitrogen species (RONS) and nitro-oxidative stress toxicity (NOSTOX) partially underpin this comorbidity.Aims: To examine the associations of RONS/NOSTOX biomarkers with MetS after adjusting for the significant effects of mood disorders (major depression, and bipolar type 1 and 2), generalized anxiety disorder (GAD), tobacco use disorder (TUD), and male sex.Methods: The study included subjects with (n=65) and without (n=107) MetS and measured levels of superoxide dismutase 1 (SOD1), lipid hydroperoxides (LOOH), nitric oxide metabolites (NOx), malondialdehyde (MDA), and advanced oxidation protein products (AOPP) and computed z unit-weighted composite scores which reflect RONS/NOSTOX. The study included 105 patients with mood disorders, 46 with GAD, and 95 with TUD.Results: MetS was associated with increased levels of MDA and AOPP, independently from mood disorders, TUD, sex and GAD. Atherogenicity and insulin resistance (IR) were significantly associated with a NOSTOX composite score. Mood disorders, TUD, GAD, male sex and MetS independently contribute to increased RONS/NOSTOX. The RONS/NOSTOX profile of MetS was different from that of GAD, which showed increased SOD1 and NOx levels. TUD was accompanied by increased SOD1, LOOH and MDA, and male sex by increased LOOH and AOPP.Conclusions: MetS is characterized by increased lipid peroxidation with aldehyde formation and chlorinative stress, and atherogenicity and IR are strongly mediated by RONS/NOSTOX. Partially shared RONS/NOSTOX pathways underpin the comorbidity of MetS with mood disorders, GAD, and TUD.
Abstract The first publication demonstrating that major depressive disorder (MDD) is associated with alterations in the gut microbiota appeared in 2008 (Maes et al., 2008). The purpose of the present study is to delineate a) the microbiome signature of the phenome of depression, including suicidal behaviours and cognitive deficits; the effects of adverse childhood experiences (ACE) and recurrence of illness index (ROI) on the microbiome; and the microbiome signature of lowered high-density lipoprotein cholesterol (HDLc). We determined isometric log-ratio abundances or prevalence of gut microbiome phyla, genera, and species by analyzing stool samples from 37 healthy Thai controls and 32 MDD patients using 16S rDNA sequencing. Six microbiome taxa accounted for 36% of the variance in the depression phenome, namely Hungatella and Fusicatenibacter (positive associations) and Butyricicoccus, Clostridium, Parabacteroides merdae , and Desulfovibrio piger (inverse association). This profile (labeled enterotype 1) indicates compositional dysbiosis, is strongly predicted by ACE and ROI, and is linked to suicidal behaviours. A second enterotype was developed that predicted a decrease in HDLc and an increase in the atherogenic index of plasma ( Bifidobacterium, P. merdae , and Romboutsi a were positively associated, while Proteobacteria and Clostridium sensu stricto were negatively associated). Together, enterotypes 1 and 2 explained 40.4% of the variance in the depression phenome, and enterotype 1 in conjunction with HDLc explained 39.9% of the variance in current suicidal behaviours. In conclusion, the microimmuneoxysome is a potential new drug target for the treatment of severe depression and suicidal behaviours, and possibly for the prevention of future episodes.
The pre- and postdexamethasone cortisol levels are determined at 8 a.m. in 106 depressive patients. The patients are classified according to DSM-III in two categories: minor depression (300.40, 296.82, 309.00) and major depression (296.X2, 296.X3, 296.X4). The cortisol suppression index (CSI) e.g. the ratio of pre- and postdexamethasone cortisol levels is calculated. The clinical relevance of the CSI for major depression is compared to the dexamethasone suppression test (DST). The CSI is significantly (p = 0.018) lowered in patients with major depression as compared to those with minor depression. The CSI depends (r = -0.929) on changes of the postdexamethasone cortisol levels. The DST is more useful as an external validating criterion for major depression than is the CSI. The determination of the CSI is not an asset in the diagnosis of major depression.
This paper hypothesizes that inflammatory, oxidative and nitrosative (IO&NS) pathways, and an increased translocation of LPS from gram-negative bacteria are causally related to depression following external (psychological) and internal (organic) stressors and that IO&NS pathways are novel targets for antidepressant development. We review that depression is accompanied by an inflammatory reaction as indicated by an increased production of pro-inflammatory cytokines, such as interleukin-1beta (IL-1beta), IL-6, tumour necrosis factor-alpha (TNF-alpha) and interferon-gamma (IFN)-gamma. These cytokines are stress-sensitive and may cause depressive behaviors. The latter may be induced by an increased catabolism of tryptophan, the precursor of serotonin, to neurotoxic TRYCATs (tryptophan catabolites along the indoleamine oxidase pathway). Inflammatory biomarkers are detected in animal models of depression. Newly developed animal models of depression are based on induced inflammation. Most if not all antidepressants have specific anti-inflammatory effects. Anti-inflammatory compounds may augment the clinical efficacy of antidepressants. Depression is also accompanied by an IgM-related (auto)immune response directed against disrupted lipid membrane components, such as phosphatidyl-inositol, by-products of lipid peroxidation, e.g. azelaic acid and malondialdehyde, and NO-modified amino-acids, which are normally not detected by the immune system but due to damage caused by O&NS have become immunogenic. Increased translocation of lipopolysaccharide from gram-negative bacteria, which may be induced by internal and external stressors, may further aggravate the induced IO&NS pathways.