Association between serotonin transporter polymorphisms (5-HTTLPR) and the MADRS Dysphoria, Retardation, and Vegetative Subscale scores in the treatment of depression

Alterations in electroencephalographic functional connectivity in individuals with major depressive disorder: a resting-state electroencephalogram study

Background

Major depressive disorder (MDD) is the leading cause of disability among all mental illnesses with increasing prevalence. The diagnosis of MDD is susceptible to interference by several factors, which has led to a trend of exploring objective biomarkers. Electroencephalography (EEG) is a non-invasive procedure that is being gradually applied to detect and diagnose MDD through some features such as functional connectivity (FC).

Methods

In this research, we analyzed the resting-state EEG of patients with MDD and healthy controls (HCs) in both eyes-open (EO) and eyes-closed (EC) conditions. The phase locking value (PLV) method was utilized to explore the connection and synchronization of neuronal activities spatiotemporally between different brain regions. We compared the PLV between participants with MDD and HCs in five frequency bands (theta, 4-8 Hz; alpha, 8-12 Hz; beta1, 12-16 Hz; beta2, 16-24 Hz; and beta3, 24-40 Hz) and further analyzed the correlation between the PLV of connections with significant differences and the severity of depression (via the scores of 17-item Hamilton Depression Rating Scale, HDRS-17).

Results

During the EO period, lower PLVs were found in the right temporal-left midline occipital cortex (RT-LMOC; theta, alpha, beta1, and beta2) and posterior parietal-right temporal cortex (PP-RT; beta1 and beta2) in the MDD group compared with the HC group, while PLVs were higher in the MDD group in LT-LMOC (beta2). During the EC period, for the MDD group, lower theta and beta (beta1, beta2, and beta3) PLVs were found in PP-RT, as well as lower theta, alpha, and beta (beta1, beta2, and beta3) PLVs in RT-LMOC. Additionally, in the left midline frontal cortex-right temporal cortex (LMFC-RT) and posterior parietal cortex-right temporal cortex (PP-RMOC), higher PLVs were observed in beta2. There were no significant correlations between PLVs and HDRS-17 scores when connections with significantly different PLVs (all p > 0.05) were checked.

Conclusion

Our study confirmed the presence of differences in FC between patients with MDD and healthy individuals. Lower PLVs in the connection of the right temporal-left occipital cortex were mostly observed, whereas an increase in PLVs was observed in patients with MDD in the connections of the left temporal with occipital lobe (EO), the circuits of the frontal-temporal lobe, and the parietal-occipital lobe. The trends in FC involved in this study were not correlated with the level of depression.

Limitations

The study was limited due to the lack of further analysis of confounding factors and follow-up data. Future studies with large-sampled and long-term designs are needed to further explore the distinguishable features of EEG FC in individuals with MDD.

Precision Psychiatry: Biomarker-Guided Tailored Therapy for Effective Treatment and Prevention in Major Depression

Depression contributes greatly to global disability and is a leading cause of suicide. It has multiple etiologies and therefore response to treatment can vary significantly. By applying the concepts of personalized medicine, precision psychiatry attempts to optimize psychiatric patient care by better predicting which individuals will develop an illness, by giving a more accurate biologically based diagnosis, and by utilizing more effective treatments based on an individual's biological characteristics (biomarkers). In this chapter, we discuss the basic principles underlying the role of biomarkers in psychiatric pathology and then explore multiple biomarkers that are specific to depression. These include endophenotypes, gene variants/polymorphisms, epigenetic factors such as methylation, biochemical measures, circadian rhythm dysregulation, and neuroimaging findings. We also examine the role of early childhood trauma in the development of, and treatment response to, depression. In addition, we review how new developments in technology may play a greater role in the determination of new biomarkers for depression.

Efficacy and Safety of Escitalopram Oral Drops to Treat Major Depressive Disorder and Generalized Anxiety Disorder in Adolescent, Adult and Geriatric Patients: A Prospective Multicenter Observational Study in Pakistan

Background 

Escitalopram is widely used for the management of the major depressive disorder and generalized anxiety disorder, but there is no to very limited data available regarding efficacy and safety in Pakistani patients. This study was conducted to evaluate the efficacy and safety of escitalopram oral drops to manage the major depressive disorder and generalized anxiety disorder in a local cluster within Pakistan.

Methods

This prospective multicenter observational study was conducted in the department of psychiatry from August 2018 - August 2019. Eighty-five patients meeting the selection criteria were included in the study. Adolescent, adult, and geriatric patients of either gender with generalized anxiety disorder having Hamilton Anxiety Rating Scale (HAM-A) rate ≥ 10 and major depressive disorder having Montgomery-Asberg Depression Rating Scale (MADRS) rate ≥ 7 or patients with co-morbid generalized anxiety disorder (GAD), major depressive disorder (MDD) were selected for the study. We are reporting patients’ improvement from baseline, response rate, and remission rate. Data analysis is performed by using SPSS version 21 (IBM Inc, Armonk, USA).

Results

Among enrolled patients, 42 were adolescents, 22 were adults, and 21 were geriatric. The mean age of an adolescent, adult, and geriatric patients was 14.92 ± 2.04, 44.54 ± 12.08, and 64.61 ± 3.16 years, respectively. Among enrolled patients, the mean change in a total score of HAM-A for anxiety and MADRS for depression were -10.04 ± 4.32 and -17.67 ± 14.42, respectively. At the end of the study, the remission rate and response rate for depression were 82 % and 75%, respectively. Similarly, the remission rate and the response for anxiety were 76% and 81%, respectively. Mean HAM-A and MADRS scores were significantly improved for adolescent, adult, and geriatric patients. Adverse events were reported in eight (9.41%) patients with six having gastrointestinal (GI) disturbance and two having to worsen anxiety. All reported adverse events were of mild severity. 

Conclusion 

Escitalopram oral drops are found effective and tolerable in reducing both anxiety and depression over the duration of study in all age groups, including adolescents, adults, and geriatrics.

Associations Among Monoamine Neurotransmitter Pathways, Personality Traits, and Major Depressive Disorder

Major depressive disorder (MDD) is a complex psychiatric disease requiring multidisciplinary approaches to identify specific risk factors and establish more efficacious treatment strategies. Although the etiology and pathophysiology of MDD are not clear until these days, it is acknowledged that they are almost certainly multifactorial and comprehensive. Monoamine neurotransmitter system dysfunction and specific personality traits are independent risk factors for depression and suicide. These factors also demonstrate complex interactions that influence MDD pathogenesis and symptom expression. In this review, we assess these relationships with the aim of providing a reference for the development of precision medicine.

Genetic endophenotypes for insomnia of major depressive disorder and treatment-induced insomnia

Major depressive disorder (MDD) is primarily hinged on the presence of either low mood and/or anhedonia to previously pleasurable events for a minimum of 2 weeks. Other clinical features that characterize MDD include disturbances in sleep, appetite, concentration and thoughts. The combination of any/both of the primary MDD symptoms as well as any four of the other clinical features has been referred to as MDD. The challenge for replicating gene association findings with phenotypes of MDD as well as its treatment outcome is putatively due to stratification of MDD patients. Likelihood for replication of gene association findings is hypothesized with specificity in symptoms profile (homogenous clusters of symptom/individual symptoms) evaluated. The current review elucidates the genetic factors that have been associated with insomnia symptom of MDD phenotype, insomnia symptom as a constellation of neuro-vegetative cluster of MDD symptom, insomnia symptom of MDD as an individual entity and insomnia feature of treatment outcome. Homozygous CC genotype of 3111T/C, GSK3B-AT/TT genotype of rs33458 and haplotype of TPH1 218A/C were associated with insomnia symptom of MDD. Insomnia symptom of MDD was not resolved in patients with the A/A genotype of HTR2A-rs6311 when treated with SSRI. Homozygous short (SS) genotype-HTTLPR, GG genotype of HTR2A-rs6311 and CC genotype of HTR2A-rs6313 were associated with AD treatment-induced insomnia, while val/met genotype of BDNF-rs6265 and the TT genotype of GSK-3beta-rs5443 reduced it. Dearth of association studies may remain the bane for the identification of robust genetic endophenotypes in line with findings for genotypes of HTR2A-rs6311.

Serotonergic system, cognition, and BPSD in Alzheimer's disease

Behavioral and Psychological Symptoms of Dementia (BPSD), present in almost 90% of patients with Alzheimer's Disease (AD), cause extensive impairment leading to reduced independence and inability to complete activities of daily living. Though BPSD includes a wide range of symptoms, such as agitation, aggression, disinhibition, anxiety, depression, apathy, delusions, and hallucinations. Certain BPSD in AD co-present and can be clustered into distinct domains based on their frequency of co-occurrence. As these BPSD are so pervasive in any stages of AD, the disease may be better characterized as a disorder of heterogeneous degenerative symptoms across a number of symptom domains, with the most prominent domain comprising memory and cognitive deficits. Importantly, there are no FDA-approved drugs to treat these BPSD, and new approaches must be considered to develop effective treatments for AD patients. The biogenic monoamine 5-hydroxytryptamine (5-HT), or serotonin, works as both a neurotransmitter and neuromodulator, which has been tied to cognitive decline and multiple BPSD domains. This review summarizes the evidence for specific serotonergic system alterations across some of the well-studied cognitive, behavioral, and psychiatric domains. Though differences in overall serotonergic transmission occur in AD, circuit-specific alterations in individual 5-HT receptors (5-HTRs) are likely linked to the heterogeneous presentation of BPSD in AD.

Assessing depression severity with a self-rated vs. rater-administered instrument in patients with epilepsy

RATIONALE

Up to 30-50% of individuals with epilepsy have depressive symptoms, which often complicate seizure management and reduce overall quality of life. To identify and manage depressive symptoms appropriately, clinicians need standardized instruments that can accurately identify and monitor those with clinically significant depression. The self-reported 9-item Patient Health Questionnaire (PHQ-9) has been used relatively widely to screen and monitor depression in epilepsy. The rater-administered Montgomery-Asberg Depression Rating Scale (MADRS) is a rater-administered instrument widely used in depression treatment trials but less widely applied in epilepsy. This secondary analysis from 2 epilepsy self-management clinical trials compared depression severity ratings using the PHQ-9 and the MADRS instruments.

METHODS

Data for this analysis were derived from pooled baseline and longitudinal data from 2 prospective epilepsy self-management randomized controlled trials (RCTs). Both RCTs assessed depression with the PHQ-9 and the MADRS. For this analysis, total depression severity scores and case classification of individuals with no/minimal, mild, moderate/moderately severe, and severe depression were assessed using both PHQ-9 and MADRS.

RESULTS

The sample contained 164 individuals with epilepsy. Demographic and clinical variables between the 2 studies were generally similar. There were 107 women (64.8%), 106 African-Americans (64.2%), and 51 Whites (30.9%). Individuals had epilepsy for an average of 22.1 (SD: 15.5). Mean past 30-day seizure frequency at baseline was 3.1 (SD: 11.6). Baseline mean PHQ-9 was 10.7 (SD: 6.80) with depression severity of 32 (19.6%) not or minimally depressed, 47 (28.8%) mildly depressed, 37 (22.7%) moderately depressed, 27 (16.6%) moderately severely depressed, and 20 (12.3%) severely depressed. Baseline mean MADRS severity was 18.5 (SD: 11.3) with 30 (18.8%) not or minimally depressed, 27 (16.9%) mildly depressed, 92 (56.1%) moderately depressed, and 11 (6.9%) severely depressed. The correlation between total PHQ-9 and total MADRS was 0.843 (p < .01) although case classification by depression severity varied somewhat between the two instruments.

CONCLUSIONS

Standardized measures to evaluate depression severity in people with epilepsy can help identify cases and monitor treatment. The PHQ-9 and MADRS both perform well in assessing depression in people with epilepsy although administration burden is less with PHQ-9 thus making it likely preferable for settings where time and epilepsy specialty resources are limited.