Biological rhythms, metabolic syndrome and current depressive episode in a community sample

Systemic GDF11 attenuates depression-like phenotype in aged mice via stimulation of neuronal autophagy

Cognitive decline and mood disorders increase in frequency with age. Many efforts are focused on the identification of molecules and pathways to treat these conditions. Here, we demonstrate that systemic administration of growth differentiation factor 11 (GDF11) in aged mice improves memory and alleviates senescence and depression-like symptoms in a neurogenesis-independent manner. Mechanistically, GDF11 acts directly on hippocampal neurons to enhance neuronal activity via stimulation of autophagy. Transcriptomic and biochemical analyses of these neurons reveal that GDF11 reduces the activity of mammalian target of rapamycin (mTOR), a master regulator of autophagy. Using a murine model of corticosterone-induced depression-like phenotype, we also show that GDF11 attenuates the depressive-like behavior of young mice. Analysis of sera from young adults with major depressive disorder (MDD) reveals reduced GDF11 levels. These findings identify mechanistic pathways related to GDF11 action in the brain and uncover an unknown role for GDF11 as an antidepressant candidate and biomarker.

Multidimensional self-rating biological rhythm disorder and its association with depression and anxiety symptoms among adolescents aged 11-23 years: a school-based cross-sectional study from China

BACKGROUND

Depression and anxiety are topical concerns worldwide, especially among adolescents. Besides, biological rhythm disorder as a candidate mechanism for mood disorders is highly prevalent, but relevant research among adolescents in China is presently limited. We conducted the present study to investigate the distribution of multi-dimensional self-rating biological rhythm disorder and the association of self-rating biological rhythm disorders with depression and anxiety symptoms among Chinese adolescents in different academic stages.

METHODS

In the cross-sectional study, 3693 students aged 11-23 from Zhengzhou City, Henan Province, China were included. The Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder (GAD-7) were used to evaluate symptoms of depression and anxiety, respectively. Additionally, the Self-Rating of Biological Rhythm Disorder for Adolescents (SBRDA) was used to assess status of biological rhythm disorders. Multivariate logistic regression was developed to explore factors potentially associated with symptoms of depression and anxiety stratified by academic stages.

RESULTS

Among all participants, 44.14 and 36.15% suffered from depression and anxiety symptoms, respectively. On average, participants scored 74.66 ± 19.37 on the measure of total biological rhythm disorder. Adjusted for demographic confounding factors, the logistic regression analysis showed higher scores of total biological rhythm disorder were associated with more severe depression (OR = 14.38, 95%CI: 11.38-18.16) and anxiety symptoms (OR = 11.63, 95%CI: 9.14-14.81). The similar results were also found in the stratified analysis by academic stages.

CONCLUSIONS

Self-rating biological rhythm disorders are significantly associated with depression and anxiety symptoms among adolescents. Discrepancy across academic stages should also be taken into account in establishing public health strategies.

Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence

BACKGROUND

This PRISMA systematic literature review examined the use of digital data collection methods (including ecological momentary assessment [EMA], experience sampling method [ESM], digital biomarkers, passive sensing, mobile sensing, ambulatory assessment, and time-series analysis), emphasizing on digital phenotyping (DP) to study depression. DP is defined as the use of digital data to profile health information objectively.

AIMS

Four distinct yet interrelated goals underpin this study: (a) to identify empirical research examining the use of DP to study depression; (b) to describe the different methods and technology employed; (c) to integrate the evidence regarding the efficacy of digital data in the examination, diagnosis, and monitoring of depression and (d) to clarify DP definitions and digital mental health records terminology.

RESULTS

Overall, 118 studies were assessed as eligible. Considering the terms employed, "EMA", "ESM", and "DP" were the most predominant. A variety of DP data sources were reported, including voice, language, keyboard typing kinematics, mobile phone calls and texts, geocoded activity, actigraphy sensor-related recordings (i.e., steps, sleep, circadian rhythm), and self-reported apps' information. Reviewed studies employed subjectively and objectively recorded digital data in combination with interviews and psychometric scales.

CONCLUSIONS

Findings suggest links between a person's digital records and depression. Future research recommendations include (a) deriving consensus regarding the DP definition and (b) expanding the literature to consider a person's broader contextual and developmental circumstances in relation to their digital data/records.

Oral health and depressive symptoms among older adults: longitudinal study

OBJECTIVE

The aim of this study was to describe the prevalence of depressive symptoms and determine the association with oral health variables in older adults belonging to an oral health cohort.

METHOD

A prospective longitudinal study was conducted between 2009 and 2015. A standardized questionnaire was administered to collect demographic-socioeconomic variables and self-perceived oral health status. The clinical oral examinations were performed by examiners who had undergone training and calibration exercises. Depressive symptoms (outcome) were measured using the Geriatric Depression Scale (GDS-15), with a score of five points or higher considered indicative of the presence of depressive symptoms.

RESULTS

A total of 439 and 163 older adults (≥60 years of age) were evaluated in 2009 and 2015, respectively. The prevalence of depressive symptoms was 18.3% in 2009 and 28.5% in 2015. In the adjusted Poisson regression model, older adults who experienced tooth loss between 2009 and 2015 (PR = 1.86; 95% CI: 1.01-3.53) and those with a sensation of dry mouth in 2015 but not in 2009 (PR = 3.25 95% CI: 1.56-6.72) were at greater risk of exhibiting depressive symptoms.

CONCLUSION

In this study, the prevalence of depressive symptoms was considerable. Older adults with tooth loss between 2009 and 2015 and those with a perception of dry mouth were at greater risk of exhibiting depressive symptoms, which underscores the importance of including a dentist as part of the health team for the prevention and treatment of mental health problems.

Contribution of TSPO imaging in the understanding of the state of gliosis in substance use disorders

PURPOSE

Recent research in last years in substance use disorders (SUD) synthesized a proinflammatory hypothesis of SUD based on reported pieces of evidence of non-neuronal central immune signalling pathways modulated by drug of abuse and that contribute to their pharmacodynamic actions. Positron emission tomography has been shown to be a precious imaging technique to study in vivo neurochemical processes involved in SUD and to highlight the central immune signalling actions of drugs of abuse.

METHODS

In this review, we investigate the contribution of the central immune system, with a particular focus on translocator protein 18 kDa (TSPO) imaging, associated with a series of drugs involved in substance use disorders (SUD) specifically alcohol, opioids, tobacco, methamphetamine, cocaine, and cannabis.

RESULTS

The large majority of preclinical and clinical studies presented in this review converges towards SUD modulation of the neuroimmune responses and TSPO expression and speculated a pivotal positioning in the pathogenesis of SUD. However, some contradictions concerning the same drug or between preclinical and clinical studies make it difficult to draw a clear picture about the significance of glial state in SUD.

DISCUSSION

Significant disparities in clinical and biological characteristics are present between investigated populations among studies. Heterogeneity in genetic factors and other clinical co-morbidities, difficult to be reproduced in animal models, may affect findings. On the other hand, technical aspects including study designs, radioligand limitations, or PET imaging quantification methods could impact the study results and should be considered to explain discrepancies in outcomes.

CONCLUSION

The supposed neuroimmune component of SUD provides new therapeutic approaches in the prediction and treatment of SUD pointing to the central immune signalling.

Comorbidities, Depression Severity, and Circadian Rhythms Disturbances as Clinical Correlates of Duration of Untreated Illness in Affective Disorders

Background and Objectives: Affective disorders, namely bipolar (BDs) and depressive disorders (DDs) are characterized by high prevalence and functional impairment. From a dimensional point of view, BDs and DDs can be considered as psychopathological entities lying on a continuum. A delay in treatment initiation might increase the burden associated with affective disorders. The aim of this study is to analyze the correlates of a long duration of untreated illness (DUI) in these conditions. Materials and Methods: Subjects with BDs and DDs, both in- and outpatients, were recruited. Long DUI was defined according to previous research criteria as >2 years for BDs or >1 year for DDs. Socio-demographic, clinical and psychopathological characteristics of the recruited subjects were collected. Bivariate analyses were performed to compare subjects with a long and short DUI (p < 0.05). Results: In our sample (n = 61), 34.4% of subjects presented a long DUI. A long DUI was significantly associated with longer overall illness duration (p = 0.022) and a higher rate of psychiatric (p = 0.048) and physical comorbidities (p = 0.023). As for psychopathological features, depressive symptoms were more severe in the long DUI subgroup, as demonstrated by a higher score at the Clinical Global Impression-severity of depression (p = 0.012) item and at the anxiety/depression factor of the Positive and Negative Syndrome Scale (p = 0.041). Furthermore, subjects with a long DUI displayed more severe disruption of circadian rhythms, as evaluated by the Biological Rhythms Interview for Assessment in Neuropsychiatry total (p = 0.044) and social domain (p = 0.005) scores and by the Hamilton Depression Rating Scale diurnal variation items (18a: p = 0.029, 18b: p = 0.047). Conclusions: A long DUI may underpin higher clinical severity, as well as worse illness course and unfavorable prognosis in affective disorders. Intervention strategies targeting comorbidities, depressive symptoms and circadian rhythms may decrease disease burden in subjects with a long DUI.

Effects of depression and excess body weight on cognition and functioning in young adults: A population-based study

OBJECTIVES

The purpose of this study is to assess the independent effects of depression and excess body weight (EBW) on cognition and functioning in a community sample of young adults.

METHODS

This was a cross-sectional of 943 young adults. The diagnosis of a current depressive episode was performed using the Mini International Neuropsychiatric Interview (MINI). Cognition and functioning were assessed using the Montreal Cognitive Assessment (MoCA) and the Functional Assessment Short Test (FAST), respectively. The EBW was defined as BMI ≥ 25.0 kg/m². The independent main effects of depression and EBW, as well as the analysis interaction were performed using two-way analysis of covariance (ANCOVA).

RESULTS

The total sample comprised 943 adults, with 75 (8.0%) individuals diagnosed with a current depressive episode and 493 (52,6%) with EBW. Of the 75 subjects with depression, 40 were identified with EBW comorbidity. Subjects with depression and EBW comorbidity reported greater cognitive and functional impairment, as compared to individuals with depression without EBW. There was a significant interaction between depression and EBW on MoCA total (p<0.001) as well as FAST total (p=0.010), work (p=0.002), cognition (p=0.023), finances (p=0.032) and relationships domains (p=0.008).

CONCLUSIONS

The adverse effects of depression and EBW are independent and cumulative with respect to cognition and functioning of individuals. The understanding of the complex interactions between cognition, functioning, EBW and depression are important for development of preventive and therapeutic strategies.

Associations between depressive symptom profiles and immunometabolic characteristics in individuals with depression and their siblings

OBJECTIVES

The present study examined associations between immunometabolic characteristics (IMCs) and depressive symptom profiles (DSPs) in probands with lifetime diagnoses of depression and/or anxiety disorders and their siblings.

METHODS

Data were from the Netherlands Study of Depression and Anxiety, comprising 256 probands with lifetime diagnoses of depression and/or anxiety and their 380 siblings. Measured IMCs included blood pressure, waist circumference, and levels of glucose, triglycerides, HDL cholesterol, CRP, TNF-α and IL-6. DSPs included mood, cognitive, somatic and atypical-like profiles. We cross-sectionally examined whether DSPs were associated with IMCs within probands and within siblings, and whether DSPs were associated with IMCs between probands and siblings.

RESULTS

Within probands and within siblings, higher BMI and waist circumference were associated with higher somatic and atypical-like profiles. Other IMCs (IL-6, glucose and HDL cholesterol) were significantly related to DSPs either within probands or within siblings. DSPs and IMCs were not associated between probands and siblings.

CONCLUSIONS

The results suggest that there is a familial component for each trait, but no common familial factors for the association between DSPs and IMCs. Alternative mechanisms, such as direct causal effects or non-shared environmental risk factors, may better fit these results.

Severe insomnia is associated with metabolic syndrome in women over 50 years with major depression treated in psychiatry settings: a METADAP report

INTRODUCTION

Major depression is associated with metabolic syndrome and cardiovascular risk. We have previously shown that severe insomnia, a core symptom of major depression episode (MDE), is associated with hypertriglyceridemia, a component of metabolic syndrome, in women but not in men with major depression. Since insomnia is related to cardiovascular morbidity in the general population and major depression also, our objective was to assess the link between insomnia and metabolic syndrome, a marker syndrome of cardiovascular risk, during MDE, in women and in men.

METHODS

In 624 patients with a current MDE cohort, both insomnia and metabolic syndrome were assessed in women and men. Insomnia was rated from 0 to 6 based on the HDRS corresponding items, severe insomnia being defined by a total insomnia score ≥4.

RESULTS

severe insomnia was associated with metabolic syndrome in women but not in men. In multivariate logistic regressions, these results in women were independent from age, educational level, major depressive disorder duration and current smoking. These results were only significant in women aged ≥50 years, a cut-off age for menopausal status but not in women under 50 years.

CONCLUSION

Women aged ≥50 years with a severe insomnia during MDE have an increased risk of metabolic syndrome. Severe insomnia may be a clinical marker of metabolic risk in this population. They should be particularly monitored for metabolic syndrome and may benefit from sleep recommendations and cardiovascular prevention.

Metabolically healthy status and BMI in relation to depression: A systematic review of observational studies

AIM

Findings of association between metabolically healthy status and BMI and risk of depression are controversial. This study aimed to assess the relation between metabolically healthy status and BMI and depression.

METHODS

All published studies up to 25 June 2018 were searched by using the databases of PubMed, ISI Web of Science, SCOPUS and Google Scholar and following key words were used: metabolically AND (healthy OR unhealthy OR benign) AND (overweight OR obes* OR "over weight") AND phenotype AND (depression OR depress* OR "depressive disorder").

RESULTS

After screening title and abstract and considering inclusion criteria, 5 studies were found to be included in our study. Metabolically unhealthy obesity was associated with 30%-83% increased risk of depression and metabolically unhealthy non-obesity was associated with 19%-60% increased risk of depression. Metabolically healthy obesity was not associated with the risk of depression in all studies.

CONCLUSIONS

In conclusion, metabolically health status and BMI are associated with risk of depression. Metabolically unhealthy situation increased risk of depression greater than metabolically healthy status.

Metabolic syndrome, depression and anhedonia among young adults

The aim of this study was to assess the association between anhedonia and metabolic syndrome (MetS) in a well-characterized community sample of individuals with a current depressive episode. This is a cross-sectional study with young adults aged 24-30 years old. Depressive episode and the presence of anhedonia was assessed using the Mini International Neuropsychiatric Interview - Plus version (MINI Plus). The MetS was assessed using the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III). The sample included 931 subjects, being 22 had depression without anhedonia, whereas 55 had depression with anhedonia. MetS was more prevalent among subjects with depression and anhedonia (43.6%) when compared to individuals without anhedonia and population control group. Moreover, subjects with depression and anhedonia have a significant increase of levels of glucose, triglycerides, total-cholesterol and LDL-cholesterol, as well as significant decreased in the HDL-cholesterol level. The present study showed that individuals with depression and anhedonia present higher prevalence of MetS. Our study suggests that the use of the concept of anhedonia may contribute to a better understanding of the complex relationship between depression and metabolic syndrome.

Metabolic syndrome and psychiatric disorders: a population-based study

Objective:

To identify the association of metabolic syndrome (MetS) and psychiatric disorders in young adults in southern Brazil.

Methods:

This population based cross-sectional study involved a total of 1,023 young adults between the ages of 21 and 32 years. Current episodes of psychiatric disorders were assessed using the Mini International Neuropsychiatric Interview – Plus version. MetS was evaluated using the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III).

Results:

Of the 1,023 participants, 24.3% were identified with MetS, 13.5% were diagnosed with anxiety disorders, 7.5% with current depression, 3.9% with bipolar disorders and 10.1% were at risk of suicide. MetS was associated with ethnicity (p = 0.022), excess weight (p < 0.001), current anxiety disorders (p < 0.001), current mood disorders (bipolar disorder in mood episode and current depression) (p < 0.001), and suicide risk (p < 0.001).

Conclusions:

MetS was associated with psychiatric disorders. Awareness of factors associated with MetS can help identify high-risk individuals and stimulate disease prevention and control programs, as well as lifestyle changes.

Biological rhythm impairment in bipolar disorder: A state or trait marker?

CONTEXT

There is limited research on biological rhythms in bipolar disorder (BD) from the Indian setting despite its intricate relationship with metabolic syndrome (MS) and functioning.

AIMS

The study aimed to assess "trait marker" status of biological rhythms as well as correlates of biological rhythm impairment in euthymic BD.

SETTING AND DESIGN

Cross-sectional observational study over 6 months was carried out in hospital setting.

MATERIALS AND METHODS

Biological Rhythms Interview of Assessment in Neuropsychiatry Questionnaire (BRIAN) and Functioning Assessment Short Test (FAST) were used to assess biological rhythms and functioning, respectively. MS was diagnosed as per modified National Cholesterol Education Program- Adult Treatment Panel III. Depressive symptoms were assessed by the Hamilton Depression Rating Scale (HDRS). Euthymia was defined as symptomatic remission for at least 8 weeks. Ethical approval was taken.

RESULTS

Fifty cases of euthymic BD and fifty apparently healthy controls were recruited. Total as well as certain domain-specific BRIAN and FAST scores were significantly higher in cases compared to controls. A significant positive correlation was found between the total BRIAN score with HDRS as well as FAST score. No correlation was obtained between biological rhythms and metabolic parameters.

CONCLUSIONS

Our results support the hypothesis that biological rhythm impairment is a trait marker in patients with BD. The study supports the need for management of subsyndromal depressive symptoms even in inter-episodic period.

Performance of the biological rhythms interview for assessment in neuropsychiatry: An item response theory and actigraphy analysis

BACKGROUND

Biological rhythm disturbances are widely associated with the pathophysiology of mood disorders. The Biological Rhythms Interview for Assessment in Neuropsychiatry (BRIAN) is a self-report that indexes rhythm disturbance in sleep, activity, social and eating patterns. The aim of this study was to perform an Item Response Theory (IRT) analysis of the BRIAN and investigate its associations with objective sleep and rhythm disturbance measures.

METHODS

103 subjects (31 bipolar, 32 major depression and 40 healthy volunteers) wore an actiwatch for fifteen days, and completed a first morning urine sample and the BRIAN on day 15. IRT analysis assessed individual BRIAN items and their relationship to total score. Individual actiwatch records were processed to produce a sequence of transitions between rest/activity, and a likelihood of transitioning between states was calculated to investigate sleep-wake dynamics. Cosinor analysis produced daily activity rhythms (DARs). Spearman correlations were used to assess the association between sleep/DAR variables and the BRIAN.

RESULTS

IRT analyses showed that 11 of 18 BRIAN items displayed a high level of discrimination between item options across a range of BRIAN total scores. Total BRIAN score correlated with wake after sleep onset, total activity count during sleep, and urinary 6-sulphatoxymelatonin. BRIAN Activity domain correlated with the daytime transition probability from rest to activity.

LIMITATIONS

The sample size may have been underpowered for the graded-response model employed in IRT. The study lacked an objective comparison for BRIAN eating and social domain.

CONCLUSION

The present study reveals the BRIAN displays promising external validity compared to objective parameters of circadian rhythmicity.

Metabolic syndrome in subjects with bipolar disorder and major depressive disorder in a current depressive episode: Population-based study: Metabolic syndrome in current depressive episode

OBJECTIVE

To assess the differences in the prevalence of the metabolic syndrome (MetS) and their components in young adults with bipolar disorder (BD) and major depressive disorder (MDD) in a current depressive episode.

METHODS

This was a cross-sectional study with young adults aged 24-30 years old. Depressive episode (bipolar or unipolar) was assessed using the Mini International Neuropsychiatric Interview - Plus version (MINI Plus). The MetS was assessed using the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III).

RESULTS

The sample included 972 subjects with a mean age of 25.81 (±2.17) years. Both BD and MDD patients showed higher prevalence of MetS compared to the population sample (BD = 46.9%, MDD = 35.1%, population = 22.1%, p < 0.001). Higher levels of glucose, total cholesterol and LDL cholesterol, Body Mass Index, low levels of HDL cholesterol, and a higher prevalence of abdominal obesity were observed in both BD and MDD individuals with current depressive episode compared to the general population. Moreover, there was a significant difference on BMI values in the case of BD and MDD subjects (p = 0.016).

CONCLUSION

Metabolic components were significantly associated with the presence of depressive symptoms, independently of the diagnosis.

Association between depression and metabolic syndrome in korean women: Results from the korean national health and nutrition examination survey (2007-2013)

BACKGROUND

A considerable amount of research suggests that depression may be associated with cardiovascular disease (CVD) and the risk factors for the development of CVD such as metabolic syndrome (MetS). This study aimed to investigate the associations between depression, MetS, and combinations of the individual MetS components in Korean women.

METHODS

Cross-sectional data for 23,385 women who aged 19 years and older were obtained from the nationally representative Korean National Health and Nutrition Examination Survey (2007-2013). Associations between prior diagnosis of depression and MetS were estimated after adjusting for related factors using multivariable logistic regression analysis.

RESULTS

MetS was more prevalent in women with a prior diagnosis of depression than those without diagnosed depression (26.20% vs. 19.07%, p<.001). Depression was significantly associated with MetS (odds ratio, 1.20; 95% confidence interval, 1.01-1.43) after adjusting for age, education, monthly household income, smoking status, alcohol use, physical activity, and postmenopausal status. There was a higher prevalence of most MetS combinations among women with depression than women without depression. Specifically, significant differences between the two groups were found for MetS combinations including high triglycerides.

LIMITATIONS

A cross-sectional study design and lack of a standardized objective measure for depression.

CONCLUSIONS

Diagnosed depression is associated with MetS in Korean women. Specifically, women with diagnosed depression have significantly elevated levels of several combinations of MetS components including high triglycerides. Addressing these MetS combinations could help reduce CVD events and mortality among women with depression.