Association between depressive symptoms, use of antidepressant medication and the metabolic syndrome: the Maine-Syracuse Study

Clinical Patterns of Metabolic Syndrome in First-Hospitalized Major Depressive Disorder Patients: Comparison of Antidepressant-Exposed and Drug-Naïve Groups

Background

Major depressive disorder (MDD) and metabolic syndrome (MetS) are both major health threats nowadays, and the relationship between them is complex and close. The purpose of this paper is to compare differences in the prevalence and risk factors of MetS in first hospitalized patients with MDD with and without antidepressant exposure.

Methods

A total of 636 first hospitalized MDD patients (study group) with antidepressant exposure and 345 drug-naïve patients (control group) were included in this study. Their socio-demographic data, routine biochemical indices, and psychological symptom assessment were collected.

Results

There was no difference in the prevalence of MetS between the study group and the control group (F = 2.49, p = 0.115). Factors affecting MetS and its severity differed between the two groups, in the study group, the identified risk factors for MetS were onset age (B = 0.05, p <0.001, OR = 1.05, 95% CI = 1.02-1.08), TSH level (B = 0.42, p <0.001, OR = 1.53, 95% CI = 1.39-1.68). Meanwhile, in the control group, the identified risk factors for MetS were more extensive and they were, onset age (B = 0.11, p <0.001, OR = 1.12, 95% CI = 1.07-1.16), suicidal behavior (B = 1.54, p = 0.007, OR = 4.65, 95% CI = 1.51-14.33), HAMD scores (B = 0.23, p = 0.008, OR = 1.26, 95% CI = 1.06-1.49) and TSH levels (B = 0.33, p <0.001, OR = 1.39, 95% CI = 1.17-1.65). The number of risk factors identified was lower in the study group.

Conclusion

Antidepressant use was associated with greater MetS severity but did not affect overall prevalence. Antidepressants appear to modify MetS risk factors, highlighting the need to differentiate these effects from those in drug-naïve patients when developing MetS interventions for the MDD population.

Impact of Sex and Gender on Metabolic Syndrome in Adults: A Retrospective Cohort Study From the Canadian Primary Care Sentinel Surveillance Network

OBJECTIVE

Metabolic syndrome (MetS), a cluster of 5 interconnected factors, is the main contributor to cardiovascular disease. Although sex- and gender-related elements have been linked to MetS and its components, this association has not been explored among Canadians with or without MetS. In this study, we aimed to identify sex and gender differences in characteristics of MetS in the Canadian population.

METHODS

This retrospective cohort study used data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database. The CPCSSN contains de-identified electronic health records of >1.5 million Canadians (2010-2019). Individuals 35 to 75 years of age who had a primary care encounter formed the study sample (N=37,813). Multiple logistic regression models were used to estimate adjusted odds ratios for sex and gender differences among Canadians with and without MetS, which was the primary outcome variable.

RESULTS

The estimated prevalence of MetS was 41.9%. The risk of developing MetS was significantly lower among females compared with males (odds ratio 0.73, 95% confidence interval 0.70 to 0.76). However, the risk was higher in females who used antidepressants (odds ratio 1.53, 95% confidence interval 1.42 to 1.65). An equal distribution of deprivation indexes was observed between males and females with MetS, with risk slightly higher for those with material deprivation. Females were found to be the most socially deprived.

CONCLUSIONS

This study provides important sex- and gender-specific differences in MetS among Canadians. Targeting sex- and gender-specific risk factors could assist in reversing the trend of adverse cardiovascular outcomes associated with MetS.

Prevalence and factors associated with metabolic syndrome in first hospitalization for major depression disorder patients

Major depressive disorder (MDD) is a common and socially burdensome psychiatric disorder with a causal and complex relationship with metabolic syndrome (MetS), which is often co-morbid. However, the prevalence and risk factors for MetS in patients with MDD are inconclusive. The purpose of this study is to investigate the prevalence and factors influencing MetS in first hospitalization MDD patients. A total of 981 MDD patients were included. Sociodemographic and general clinical data were collected from the patients, while metabolism-related parameters were also measured, and psychological symptoms were assessed. Our study found that the prevalence of MetS in the study population was 9.68%. MDD patients with MetS had higher levels of metabolism-related parameters and more severe psychological symptoms. We identified risk factors for MetS and its severity separately: age of onset of MDD, more severe depressive symptoms, and higher thyroid stimulating hormone (TSH) levels were risk factors for the development of MetS, whereas higher TSH levels were risk factors for the severity of MetS. Our results suggest that MetS is not highly prevalent in MDD patients, but certain risk factors may increase its likelihood and severity, and that these findings could be beneficial for clinical intervention and care of MetS.

3-year incidence and predictors of metabolic syndrome in schizophrenia in the national FACE-SZ cohort

AIMS

Metabolic Syndrome (MetS) is a major health epidemic of Western countries and patients with schizophrenia is a particularly vulnerable population due to lifestyle, mental illness and treatment factors. However, we lack prospective data to guide prevention. The aim of our study is then to determine MetS incidence and predictors in schizophrenia.

METHOD

Participants were recruited in 10 expert centers at a national level and followed-up for 3 years. MetS was defined according to the International Diabetes Federation criteria. Inverse probability weighting methods were used to correct for attrition bias.

RESULTS

Among the 512 participants followed-up for 3 years, 77.9% had at least one metabolic disturbance. 27.5% were identified with MetS at baseline and excluded from the analyses. Among the rest of participants (N = 371, mean aged 31.2 (SD = 9.1) years, with mean illness duration of 10.0 (SD = 7.6) years and 273 (73.6%) men), MetS incidence was 20.8% at 3 years and raised to 23.6% in tobacco smokers, 29.4% in participants receiving antidepressant prescription at baseline and 42.0% for those with 2 disturbed metabolic disturbances at baseline. Our multivariate analyses confirmed tobacco smoking and antidepressant consumption as independent predictors of MetS onset (adjusted odds ratios (aOR) = 3.82 [1.27-11.45], p = 0.016, and aOR = 3.50 [1.26-9.70], p = 0.0158). Antidepressant prescription predicted more specifically increased lipid disturbances and paroxetine was associated with the highest risk of MetS onset.

CONCLUSION

These results are an alarm call to prioritize MetS prevention and research in schizophrenia. We have listed interventions that should be actively promoted in clinical practice.

Obsessive-Compulsive Disorder and Metabolic Disorders: Overview and Future Perspective

Obsessive-compulsive disorder (OCD) has a bidirectional relationship with metabolic disorders. The purposes of this review are to decipher the links between OCD and metabolic disorders and to explore the etiological mechanism of OCD in metabolism, which may aid in early identification of and tailored interventions for OCD and metabolic disorders.

Increased Prevalence of Depression and Anxiety Among Subjects With Metabolic Syndrome in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

BACKGROUND

Metabolic syndrome (MetS) and common mental disorders are prevalent conditions. However, the relationship of MetS and its components with depression, anxiety, and common mental disorders has not been sufficiently addressed in low-/middle-income countries.

OBJECTIVE

To investigate whether depression, anxiety, and common mental disorders are associated with MetS and its components in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

METHODS

A cross-sectional analysis of the ELSA-Brasil baseline visit (2008-2010) was performed. Adults without cardiovascular diseases had their MetS status defined by the National Cholesterol Education Program's Adult Treatment Panel III criteria. We assessed mental disorders using the Clinical Interview Schedule-Revised. We employed multiple logistic regression models adjusted for sociodemographic and behavioral factors. The dependent variables were mental disorders, and the independent variables were MetS and its components. We also performed analyses stratified by age and gender.

RESULTS

Our sample included 12,725 participants (54.9% women, mean age of 51.8 ± 8.9 y). MetS and depressive disorders were significantly associated (odds ratio [OR] = 1.55, 95% confidence interval [CI] 1.30-1.85). Increased abdominal circumference (OR = 1.54, 95% CI 1.29-1.84), diabetes mellitus (OR = 1.24, 95% CI 1.02-1.50), hypertriglyceridemia (OR = 1.33, 95% CI 1.11-1.60), and low high-density lipoprotein cholesterol (only when adjusted for sociodemographic factors) (OR = 1.25, 95% CI 1.02-1.52) were also associated with depression. This association remained significant for all stratified analyses. Finally, MetS was also significantly associated with anxiety disorders (OR = 1.19, 95% CI 1.07-1.32) and common mental disorders (OR = 1.27, 95% CI 1.17-1.39).

CONCLUSIONS

Our cross-sectional findings suggested that depression, anxiety, and common mental disorder are associated with MetS. Depression was also associated with abdominal obesity, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol, but not with hypertension.

Relationship of obstructive sleep apnea with major depressive disorder and development of metabolic syndrome

OBJECTIVE

Major depressive disorder (MDD) is often linked with a number of coexisting disorders with a relation that is poorly understood. The aim of this study was to find out the role of obstructive sleep apnea (OSA) in metabolic syndrome (MS) in subjects with MDD and to develop a model for factors leading to MS.

METHODS

It was a cross-sectional study conducted on 119 subjects. They were evaluated on sociodemographic and clinical parameters, Berlin questionnaire, and Quick Inventory of Depressive Symptomatology. Comparisons were made using appropriate statistics. Binary logistic regression was used to find out the role of clinical parameters in the development of MS.

RESULTS

A total of 34% with MDD had a high risk of developing OSA while 19% had metabolic syndrome. Among all clinical variables, antidepressant exposure in terms of total fluoxetine units, duration of treatment, and risk of developing OSA was found to be significantly more in patients with MS. A higher risk of OSA was found to have a higher likelihood to cause MS in patients with MDD.

CONCLUSION

There is a high risk of MS and OSA in subjects with MDD. The increased risk of MS is contributed by an increased risk of developing OSA among patients with MDD. Cross-sectional design and limited generalizability are the major limitations of this study.

A Systematic Review and Meta-Analysis of Lipid Signatures in Post-traumatic Stress Disorder

BACKGROUND

Research assessing lipid levels in individuals diagnosed with post-traumatic stress disorder (PTSD) has yielded mixed results. This study aimed to employ meta-analytic techniques to characterize the relationship between the levels of lipid profiles and PTSD.

METHODS

We performed meta-analyses of studies comparing profiles and levels of lipids between PTSD patients and healthy individuals by searching Embase, Ovid Medline, Scopus, PsycINFO, and Cochrane databases for the studies until March 2021. Meta-analyses were performed using random-effects models with the restricted maximum-likelihood estimator to synthesize the effect size assessed by standardized mean difference (SMD) across studies.

FINDINGS

A total of 8,657 abstracts were identified, and 17 studies were included. Levels of total cholesterol (TC) (SMD = 0.57 95% CI, 0.27-0.87, p = 0.003), low-density lipoprotein (LDL) (SMD = 0.48, 95% CI, 0.19-0.76, p = 0.004), and triglyceride (TG) (SMD = 0.46, 95% CI, 0.22-0.70, p = 0.001) were found to be higher, while levels of high-density lipoprotein (HDL) (SMD = -0.47, -0.88 to -0.07, p = 0.026) were found to be lower in PTSD patients compared to healthy controls. Subgroup analysis showed that TG levels were higher in PTSD patients who were on or off of psychotropic medications, both < 40 and ≥ 40 years of age, and having body mass index of < 30 and ≥ 30 compared to healthy controls.

INTERPRETATION

This work suggested dysregulation of lipids in PTSD that may serve as biomarker to predict the risk. The study will be useful for physicians considering lipid profiles in PTSD patients to reduce cardiovascular morbidity and mortality.

Major adverse cardiovascular events following electroconvulsive therapy in depression: A register-based nationwide Swedish cohort study with 1-year follow-up

BACKGROUND

The cardiovascular response during electroconvulsive therapy (ECT) could induce major adverse cardiovascular events (MACE) in the short-term, while reduced depression could decrease the risk of MACE in the long-term. The balance between these potential effects has not been thoroughly investigated.

METHODS

This nationwide, registry-based cohort study included all patients admitted to Swedish hospitals due to moderate or severe unipolar depression between 2011 and 2018. Patients were divided into an ECT group and a non-ECT group, and followed for 1 year. Patients were matched by risk factors for cardiovascular disease by propensity score matching. Cox regression was used to examine the association between ECT and MACE.

RESULTS

Out of a total of 28 584 inpatients, 5476 patients who had received ECT were matched to 5476 non-ECT patients. ECT was associated with reduced risk of MACE within 90 days and 1 year. Within 1 year after admission, a total of 127 patients (2.3%) in the non-ECT group and 82 patients (1.4%) in the ECT group had at least one MACE (hazard ratio [HR], 0.65; 95% confidence interval, 0.49-0.85).

LIMITATIONS

Real-life observational studies carry risk for residual confounding.

CONCLUSIONS

ECT in patients hospitalized for depression was not associated with any significant short-term risks of cardiovascular events. Instead, ECT was associated with a reduced risk of MACE within 1 year after admission compared with patients not treated with ECT. This association may be explained by reduced depressive symptoms after ECT, improved risk factor management in the ECT-group or by residual confounding by indication.

Influences of antidepressant medications on the risk of developing hyperlipidemia in patients with depression by a population-based cohort study and on in vitro hepatic lipogenic-related gene expression

BACKGROUND

Depression increases the risk of cardiovascular disease (CVD). The association between antidepressant medications (ADMs) and CVD remains controversial. Hyperlipidemia is a risk factor for CVD. We conducted a nationwide population-based retrospective cohort study to examine depression and ADM use on the risk of developing hyperlipidemia. The effects of ADMs on the expression of lipogenesis-related hepatic genes were also evaluated.

METHODS

We obtained data from the Longitudinal Health Insurance Database of Taiwan on patients with new-onset depression and a comparison cohort without depression. A Cox proportional hazards regression model was used to analyze the differences in the risk of developing hyperlipidemia between these two cohorts. We also examined the influence of ADMs on the expression of lipogenesis-related hepatic genes.

RESULTS

After adjustment for comorbidities and confounding factors, the case group (N = 38,322) had a higher risk for hyperlipidemia than that of the control cohort (N = 38,322) [adjusted hazards ratio (aHR) =1.16]. Patients with depression who did not receive ADM therapy exhibited a significantly higher risk of hyperlipidemia (aHR = 1.61). However, in patients with depression treated with ADMs, the risk of developing hyperlipidemia was significantly lowered compared to the patients without ADMs (all aHR < 0.81). Gene expression analysis indicated that ADMs downregulated the expression of lipogenesis-related hepatic genes.

LIMITATIONS

Unmeasured confounding risk factors for hyperlipidemia might not have been included in the study.

CONCLUSIONS

ADMs reduced hyperlipidemia risk in patients with depression, partly by downregulating the expression of lipogenesis-related genes and improving the patients' lipid profiles. Early diagnosis and management of hyperlipidemia would further facilitate the prevention of CVD.

A systematic review and meta-analysis of lipid metabolomic signatures of Major Depressive Disorder

The aim of this meta-analysis was to provide a comprehensive synthesis of the evidence examining biomarker signatures in MDD patients including lipids, lipid regulatory proteins (LRP), and polyunsaturated fatty acid (PUFA) as compared to healthy individuals. We performed meta-analyses and meta-regression of the studies comparing lipid, LRP, and PUFA levels between MDD patients and healthy individuals by searching Embase, Ovid Medline, Scopus, PsycINFO, PubMed, and Cochrane databases. Search was performed in these databases up to September 2019 and 29 studies were included. Levels of lipid parameter triglyceride (TG) (SMD 0.55, 95% CI 0.30-0.80, p < 0.0001) were higher while total cholesterol (TC) (SMD = -0.46, 95%CI -0.93 to -0.001, p = 0.04) and very low-density lipoprotein (VLDL) (SMD = -0.46, 95%CI -0.71 to -0.20, p = 0.02) were lower in MDD patients than controls. Subgroup analysis for age showed that the levels of high-density lipoprotein (HDL) were lower in ≥40-year age group (SMD = -0.38, 95%CI -0.70 to -0.06, p = 0.01) and levels of TC was lower in MDD patients in studies from Asian countries (SMD = -0.74, 95%CI -1.37 to -0.10, p = 0.02). TG levels were found to be high all subgroups in MDD patients than controls. A negative association between TC levels and use of lipid lowering medications and a positive association between smoking and LDL levels was found using meta-regression analysis. This study will be useful for physicians when considering the assessment of lipidand LRP profiles in MDD patients to reduce the cardiovascular morbidity and mortality.

Fat compartments in patients with depression: A meta-analysis

INTRODUCTION

Depressive disorders are a common illness worldwide. Major depression is known as a significant predictor of the metabolic syndrome. However, the effects of depression on adipose tissue compartments are controversial. This meta-analysis aimed to evaluate the state of research on the relationship between patients with depression and adipose tissue compartments as compared to nondepressed individuals.

METHODS

The PubMed database was searched for human studies that measured adipose tissue compartments such as visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and/or organ-specific adipose tissue measurements using dual-energy X-ray absorptiometry, magnetic resonance imaging or computed tomography scan and reported the means and a measure of variance separately for depressed individuals and healthy controls. Twelve articles were identified, including a total of 1,141 depressed and 2,545 nondepressed individuals.

RESULTS

Major depressive disorder and self-reported depressive symptoms were associated with elevated visceral adipose tissue and elevated subcutaneous adipose tissue. Subanalyses for gender, age, method of adipose tissue measurement, and method of depression assessment showed elevated visceral adipose in depressed individuals. The results could be replicated when focussing on studies controlling for body mass index (BMI). Regarding other adipose tissue compartments, meta-analysis could not be carried out due to lack of studies.

CONCLUSIONS

Depression is associated with enlarged visceral and subcutaneous adipose tissue. Further, especially longitudinal, research is needed to identify the mechanism through which depressive disorders contribute to visceral adiposity.

Risk Factors of Metabolic Syndrome in Community-Dwelling People with Schizophrenia

This study investigated the prevalence and risk factors of metabolic syndrome in 100 community-dwelling people with schizophrenia registered in mental health facilities in Seoul, Korea. This study was conducted between 12 September and 15 November 2019. This study used a cross-sectional descriptive design. The data included were general and disease-related characteristics, diagnostic tests for metabolic syndrome, lifestyles, depression, and social support. The analysis of collected data was done by using the SPSS 24.0 program. The prevalence of metabolic syndrome was 42.0%. Higher body mass index (odds ratio [OR] = 1.60, 95% CI = 1.16–2.18, p = 0.004), and depression (OR = 1.22, 95% CI = 1.06–1.42, p = 0.008) were associated with higher risks of metabolic syndrome, while physical activity and weight control (OR = 0.71, 95% CI = 0.54–0.94, p = 0.018), dietary habits (OR = 0.72, 95% CI = 0.54–0.93, p = 0.011), and medication and health management (OR = 0.52, 95% CI = 0.31–0.86, p = 0.012) were associated with lower risks. Mental health care nurses need to recognize the high prevalence of metabolic syndrome in people with schizophrenia in the community and provide differentiated, customized lifestyle improvement programs based on the body mass index and depression status of each person with schizophrenia. Furthermore, comprehensive lifestyle improvement programs and health examination services that people with schizophrenia can easily adhere to should be developed.

Depressive Symptoms and Blood Pressure

Abstract. In the present investigation it is hypothesized that depressive symptoms and antidepressant therapy are associated with systolic and diastolic blood pressure. Moreover, in additional analyses, the interaction effects of age, gender, and depressive symptoms are estimated, and discussed in the context of previous findings. Data from the German Health Interview and Examination Survey for Adults (DEGS1) were analyzed ( N = 7,987) by means of multi-response Bayesian hierarchical regression models. Missing data were imputed by the method of chain equations. Independent variables included depressive symptoms, antidepressant medication, gender, age, smoking, physical activity, family history of hypertension, body mass index, and antihypertensive medication. The estimates obtained in the multi-response model revealed that depressive symptoms were negatively associated with arterial blood pressure (−0.09, 99% CI [−0.147; −0.040]). Antidepressant therapy was found to be positively associated with increased blood pressure (1.035, 99% CI [0.333; 1.990]). There were negative interaction effects of depressive symptoms and age among women only (−0.006 99% CI [−0.010; −0.001]). The results agree with previous findings reporting a negative association between depressive symptoms and blood pressure. In addition, regarding the trajectory of blood pressure across the lifespan, interaction effects of depressive symptoms and age were found among females. The results indicate a linear increase in blood pressure with increasing age which, however, tends to flatten and decrease by around age 55 in both males and females. Potential physiological mechanisms may be related to affect regulation taking place at higher levels of cognitive processing and affecting blood pressure regulation, and/or cardiovascular mechanisms related to cerebral blood flow, arterial blood pressure, and depressive symptoms which have not been sufficiently explained so far.

Association Between Antidepressant Medication Use and Prevalence and Control of Cardiovascular Risk Factors in Community-Dwelling Older Adults: The Italian Health Examination Survey 2008-2012

Background: To assess the association of antidepressant (AD) medication use with prevalence and control of cardiovascular (CV) risk factors. Methods: Data of older adults from the population-based Italian Osservatorio Epidemiologico Cardiovascolare/Health Examination Survey (OEC/HES) Study 2008-2012 were used. CV risk factors were measured using standardized procedures. Information on clinical features, lifestyles, and medications was collected using standardized questionnaires. Logistic regression models were elaborated to assess associations between AD use and prevalence and control of CV risk factors. Results: Around 2549 participants (age 71.4 ± 4.2 years, 51.3% men) were studied; 268 (10.5%) were AD users. Of these, 72.4% used selective serotonin reuptake inhibitors (SSRI). AD users had less favorable CV risk factor profile and were less likely to achieve control of blood pressure and total cholesterol. After multiple adjustment for potentially confounding variables, AD use was associated with greater likelihood of having diabetes (OR = 1.05, 95% CI = 1.02-1.10, P = 0.008), hypertension (OR = 1.10, 95% CI = 1.05-1.20, P = 0.003), and hypercholesterolemia (OR = 1.08, 95% CI = 1.04-1.14, P < 0.001). Among participants treated for hypertension and hypercholesterolemia, AD use was associated with poorer control of BP (OR = 1.07, 95% CI = 1.03-1.12, P = 0.001) and cholesterol (OR = 1.06, 95% CI = 1.01-1.12, P = 0.021). Results persisted virtually unchanged when analyses were restricted to participants on SSRI. Conclusions: AD use was associated with greater prevalence and poorer control of traditional risk factors for CV disease in a population-based sample of older adults. Such results highlight the need for surveillance of CV risk factors and promotion of healthy lifestyles in older adults with psychopathology and, in particular, in those under AD treatment.

Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation study

Background

Health researchers often use survey studies to examine associations between risk factors at one time point and health outcomes later in life. Previous studies have shown that missing not at random (MNAR) may produce biased estimates in such studies. Medical researchers typically do not employ statistical methods for treating MNAR. Hence, there is a need to increase knowledge about how to prevent occurrence of such bias in the first place.

Methods

Monte Carlo simulations were used to examine the degree to which selective non-response leads to biased estimates of associations between risk factors and health outcomes when persons with the highest levels of health problems are under-represented or totally missing from the sample. This was examined under different response rates and different degrees of dependency between non-response and study variables.

Results

Response rate per se had little effect on bias. When extreme values on the health outcome were completely missing, rather than under-represented, results were heavily biased even at a 70% response rate. In most situations, 50–100% of this bias could be prevented by including some persons with extreme scores on the health outcome in the sample, even when these persons were under-represented. When some extreme scores were present, estimates of associations were unbiased in several situations, only mildly biased in other situations, and became biased only when non-response was related to both risk factor and health outcome to substantial degrees.

Conclusions

The potential for preventing bias by including some extreme scorers in the sample is high (50–100% in many scenarios). Estimates may then be relatively unbiased in many situations, also at low response rates. Hence, researchers should prioritize to spend their resources on recruiting and retaining at least some individuals with extreme levels of health problems, rather than to obtain very high response rates from people who typically respond to survey studies. This may contribute to preventing bias due to selective non-response in longitudinal studies of risk factors and health outcomes.

Targeted lipidomics reveal derangement of ceramides in major depression and bipolar disorder

Changes of sphingolipid metabolism were suggested to contribute to the patho-etiology of major depression (MD) and bipolar disorder (BD). In a pilot study we assessed if lipid allostasis manifested in pathological plasma concentrations of bioactive lipids i.e. endocannabinoids, sphingolipids, ceramides, and lysophosphatidic acids.

METHODS

Targeted and untargeted lipidomic analyses were performed according to GLP guidelines in 67 patients with unipolar or bipolar disorders (20-67 years, 36 male, 31 female) and 405 healthy controls (18-79 years, 142 m, 263 f), who were matched according to gender, age and body mass index. Multivariate analyses were used to identify major components, which accounted for the variance between groups and were able to predict group membership.

RESULTS

Differences between MD and BP patients versus controls mainly originated from ceramides and their hexosyl-metabolites (C16Cer, C18Cer, C20Cer, C22Cer, C24Cer and C24:1Cer; C24:1GluCer, C24LacCer), which were strongly increased, particularly in male patients. Ceramide levels were neither associated with the current episode, nor with the therapeutic improvement of the Montgomery Åsberg Depression Rating Scale (MARDS). However, long-chain ceramides were linearly associated with age, stronger in patients than controls, and with high plasma levels of diacyl- and triacylglycerols. Patients receiving antidepressants had higher ceramide levels than patients not taking these drugs. There was no such association with lithium or antipsychotics except for olanzapine.

CONCLUSION

Our data suggest that high plasma ceramides in patients with major depression and bipolar disorder are indicative of a high metabolic burden, likely aggravated by certain medications.

Evaluation of the effect of insulin sensitivity-enhancing lifestyle- and dietary-related adjuncts on antidepressant treatment response: protocol for a systematic review and meta-analysis

BACKGROUND

Depression is the leading cause of disability worldwide and is known to be associated with insulin resistance (IR). Insulin resistance worsens the symptoms of depression and reduces the effectiveness of antidepressant medications in some depressed patients. Many studies have assessed the effect of adjunctive exercise, vitamin D supplementation, zinc supplementation, magnesium, probiotics, unsaturated fatty acids, and hygienic-dietary recommendations (sleep hygiene, healthy diet, physical activity, and sunlight exposure, combined or singly used), individually, on antidepressant treatment response. However, despite the reported insulin sensitivity-enhancing potential of these adjuncts, no systematic review has collectively analysed their antidepressant effect with regards to insulin sensitivity.

METHODS/DESIGN

In this systematic review, we will analyse the effect of the above-stated adjuncts on antidepressant treatment response (primary outcome) in comparison with treatment as usual with or without adjunctive placebo after identifying the relevant trials from a systematic literature search. Randomised controlled trials involving clinically depressed patients with diagnosis of major depressive, dysthymic or bipolar disorder will be considered. Changes in insulin sensitivity parameters, following treatment, will also be analysed as the secondary outcome. Effect estimates of the included trials will be combined using random-effects meta-analysis, while addressing risk of bias issues. Any significant heterogeneity between studies will be explored using sensitivity and subgroup analyses.

DISCUSSION

The findings of this review will contribute to the evidence base regarding the utility of non-pharmacological insulin-sensitising treatments in enhancing conventional antidepressant treatment response.

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.

Factors related to metabolic parameters in medicated patients with major depressive disorder--a naturalistic study

The aim of this study was to examine the metabolic parameters, including body mass index (BMI), homeostasis model assessment-estimated insulin resistance (HOMA-IR), homeostasis model assessment-estimated pancreatic β-cell function (HOMA-β), and lipid plasma level, in medicated patients with major depressive disorder (MDD) and to assess factors related to metabolic parameters in patients with MDD. 121 patients with MDD and 63 controls were recruited. The Hamilton Depression Rating Scale (HDRS), Wisconsin Card Sorting Test (WCST), Continuous Performance Test (CPT), and Finger-Tapping Test (FTT), were administered. BMI, HOMA-IR, and HOMA-β were calculated as modifiable metabolic parameters. The FTT results and BMI in depressed patients were significantly poorer and lower, respectively, than those of the controls. However, no significant differences were noted between MDD patients and controls included metabolic parameters and other neuropsychological tests. Among depressed patients, higher BMI is significantly related with lower education, no tobacco use, and male. The result demonstrated metabolic parameters could be neutral among medicated patients with MDD, particularly in non-elderly Asian individuals. The deficits of psychomotor speed could be more prominent than other cognitive alterations in patient with MDD.

Cardiovascular Safety of Psychiatric Agents: A Cautionary Tale

Psychiatric agents are among the most commonly prescribed medications. Despite the advent of newer generation agents, patients receiving them still experience cardiovascular (CV) side effects. However, these agents may have heterogeneous properties, calling for an individualized approach based on efficacy and also on the particular side effect profile of each specific agent. Proarrhythmic effects arising from drug-induced long-QT syndrome and consequent potentially life-threatening polymorphic ventricular arrhythmias in the form of torsade de pointes, the metabolic syndrome contributing to atherosclerosis and acute coronary syndromes, and drug-induced orthostatic hypotension raise major concerns. Of course, it is also crucial that fear of potential CV adverse effects does not deprive psychiatric patients of appropriate drug therapy. Modification of CV risk factors in psychiatric patients together with optimal management of their CV diseases and appropriate selection of psychotropic agents with greater efficacy and least CV toxicity are of paramount importance in mitigating CV risks and enhancing safety. Identifying patients at high risk of CV complications and close monitoring of all patients receiving these agents are crucial steps to prevent and manage such complications. All these issues are herein reviewed, relevant guidelines are discussed, and schemas are depicted that illustrate the interrelated connections among the psychotropic agents and their CV effects.

Associations between degree and sub-dimensions of depression and metabolic syndrome (MetS) in the community: results from the Gutenberg Health Study (GHS)

BACKGROUND

A growing number of studies have associated metabolic syndrome (MetS) and depression, both retrospectively and prospectively. However, it has remained unclear, which degrees, or sub-dimensions of depression are related to MetS and if comorbid depression affects health care utilization. The purpose of the study was to determine the associations of a) somatic and cognitive-affective symptoms to MetS and b) depression and MetS to health care utilization.

METHODS

In a population-based, representative survey of 14.499 participants we studied the associations of the two dimensions of depression with MetS and health care utilization. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9).

RESULTS

MetS and its components were associated with the degree of depression, particularly with moderately severe/ severe depressive symptoms (PHQ-9 > = 15). There were clear positive associations of somatic-affective depressive symptoms with the presence of MetS and its components. Cognitive-affective symptoms were negatively associated with MetS. At the single item level, disorders of sleep and appetite as well as exhaustion were positively, while trouble concentrating was negatively associated with MetS. Symptoms of depression were related to higher consultations of somatic and mental health care, while the presence of MetS was related to somatic health care utilization. There was an additional interaction of depressive symptoms and MetS with mental health care.

CONCLUSIONS

Somatic affective symptoms of depression are positively associated, while cognitive-affective symptoms are negatively associated with MetS.

Increased Risk of Metabolic Syndrome in Antidepressants Users: A Mini Review

Mounting evidence has shown that the risk of metabolic syndrome (MetS) is substantially overlapping in the diagnostic subgroups of psychiatric disorders. While it is widely acknowledged that patients receiving antipsychotic medications are at higher risk of MetS than antipsychotic-naive ones, the association between antidepressants and MetS is still debated. The goal of our mini review was to analyse the relationship among depressive symptoms, antidepressant use and the occurrence of MetS. Adhering to PRISMA guidelines, we searched MEDLINE, reference lists and journals, using the following search string: ((("Mental Disorders"[Mesh]) AND "Metabolic Syndrome"[Mesh]) AND "Antidepressive Agents"[Mesh]), and retrieved 36 records. Two reviewers independently assessed records and the mini review eventually included the data extracted from 8 studies. The Newcastle-Ottawa Scale was used to assess the quality of the selected studies. Overall, the results of the mini review seem to support the association among depressive symptoms, antidepressants therapy and MetS. Except for H1-R high-affinity ones, the relationship between antidepressants and MetS still needs to be clarified. Considering the widespread prescription of antidepressants, both on behalf of psychiatrists and primary care physicians, further research on this topic is recommended.

Insight gained from genome-wide interaction and enrichment analysis on weight gain during citalopram treatment

Weight gain is a possible side effect of the pharmacological antidepressant treatments. Defining antidepressant prescriptions based on personal genetic makeups would decrease the risk of weight gain and increase the quality of the current antidepressant pharmacological treatments. 643 depressed, citalopram treated individuals with available clinical and genome-wide genetic information were investigated to identify the molecular pathways associated with weight gain. 111 individuals experienced weight gain during citalopram treatment. The axon guidance (p.adjust=0.005) and the developmental biology pathway (p.adjust=0.01) were enriched in variations associated with weight gain. The developmental biology pathway includes molecular cascades involved in the regulation of beta-cell development, and the transcriptional regulation of white adipocyte differentiation. A number of variations were harbored by genes whose products are involved in the synthesis of collagen (COL4A3, COL5A1 and ITGA1), activity of the thyroid-hormones (NCOR1 and NCOR2), energy metabolism (ADIPOQ, PPARGC1A) and myogenic differentiation (CDON). A molecular pathway analysis conducted in a sample of depressed patients identified new candidate genes whose future investigation may provide insights in the molecular events that drive weight gain during antidepressant treatment.