Antidepressants for depressed patients with type 2 diabetes mellitus: A systematic review and network meta-analysis of short-term randomized controlled trials

The effects of six antidepressants on electrolytes, hepatic and renal functions, and glycolipid metabolism in patients with major depressive disorder

BACKGROUND

Most antidepressants with similar pharmacological characteristics exhibit comparable therapeutic efficacy but differ in side effects. Therefore, we used a retrospective design to compare biochemical changes induced by six antidepressants and identify differences among them.

METHODS

Case records from 1706 hospitalized patients with major depressive disorder (MDD) receiving antidepressant monotherapy were divided into six groups based on the specific antidepressants used: paroxetine, sertraline, fluoxetine, escitalopram, venlafaxine, and duloxetine. Electrolytes, hepatic and renal functions, body weight, and glycolipid metabolism were assessed at baseline and 2 weeks post-antidepressant initiation. Paired analysis was used for comparing the changes prior to and after administration within each group, and analysis of covariance was used for evaluating the distinctions among the six groups.

RESULTS

After 2 weeks of treatment, significant decreases in serum sodium and chloride levels were observed with venlafaxine, duloxetine, and fluoxetine, while potassium, phosphorus, and carbon dioxide concentrations tended to increase across all six antidepressants. In terms of hepatic indicators, these antidepressants significantly elevated alanine aminotransferase (ALT), aspartate aminotransferase (AST), and γ-glutamyl transpeptidase (GGT) levels, with duloxetine showing the most pronounced changes from baseline, while decreasing total and direct bilirubin. Sertraline effectively reduced uric acid, although changes in renal indicators were mild with other antidepressants. Notably, these antidepressants were associated with an unfavorable lipid profile, particularly elevated triglycerides and cholesterol, but they lowered blood glucose during the acute phase.

LIMITATION

Residual confounding may indirectly influence the retrospective outcomes.

CONCLUSION

Early biochemical changes can distinguish differences among antidepressants and guide individualized medication.

Connecting the dots: Understanding and addressing the metabolic impact of antipsychotic and antidepressant medications

Serious mental disorders such as schizophrenia and major depression are associated with considerable morbidity and mortality, resulting in much shorter life expectancies in those affected. The discovery of antipsychotic medications ushered in improved health outcomes for people with serious mental disorders but also brought about increased morbidity due to their metabolic side effects, including obesity and diabetes mellitus. Antidepressant medications have a more favorable metabolic side effect profile, but some can still cause weight gain and hyperglycemia. In this narrative review, we discuss antipsychotic and antidepressant medications' mechanisms of action, their respective effectiveness in treating psychosis and depression, and their metabolic side effects. In addition, we present therapeutic strategies for minimizing cardiometabolic health risks in patients treated with these medications by applying a comprehensive, biopsychosocial approach.

Efficacy and Safety of Agomelatine in Depressed Patients with Diabetes: A Systematic Review and Meta-Analysis

Major depressive disorder (MDD) and diabetes mellitus (DM) remain among the most prevalent diseases and the most significant challenges faced by medicine in the 21st century. The frequent co-occurrence and bidirectional relationship between the two conditions necessitates the identification of treatment strategies that benefit both. The purpose of this study was to systematically review and meta-analyze data on the efficacy and safety of agomelatine (AGO) in the treatment of patients with depression with comorbid diabetes to explore its potential mechanism of action in both diseases and its impact on diabetic parameters. Following PRISMA guidelines, a total of 11 studies were identified, both preclinical and clinical trials. Agomelatine has shown great potential as a treatment option for patients with diabetes and comorbid depression and anxiety. In addition to improving depressive and anxiety symptoms, it is also beneficial in glycemic control. A meta-analysis demonstrated a statistically significant reduction in glycated hemoglobin (HbA1C) and fasting blood glucose (FBG) levels following AGO administration over a period of 8-16 weeks. The administration of agomelatine was found to result in a significantly greater reduction in HbA1C than that observed with the selective serotonin reuptake inhibitor (SSRI) medications (namely fluoxetine, sertraline, and paroxetine) during 12-16 weeks of therapy. Furthermore, AGO has been found to be at least as effective as SSRIs in reducing depressive symptoms and more effective than SSRIs in reducing anxiety symptoms. The safety of such treatment is similar to SSRIs; no severe adverse events were reported, and the incidence of some side effects, such as insomnia and sexual dysfunction, are even less often reported. Particularly promising is also its potential action in improving some diabetic complications reported in preclinical trials. This might be through mechanisms involving the reduction in oxidative stress, anti-inflammatory effects, and potentially noradrenergic or NMDA receptor modulation. Further clinical studies on larger sample sizes, as well as elucidating its mechanisms of action, especially in the context of diabetic complications, are needed. Research should also focus on identifying the patient subpopulations most likely to benefit from agomelatine treatment.

A Randomized Controlled Trial Comparing the Effects of Vilazodone, Escitalopram, and Vortioxetine Monotherapy on the Metabolic Parameters in Patients With Major Depressive Disorder

BACKGROUND AND OBJECTIVES

The coexistence of major depressive disorder (MDD) and metabolic illness could culminate in an aberrant metabolic profile. Individuals with MDD and type 2 diabetes mellitus (T2DM) are more likely to have impaired metabolic indicators. Effective antidepressant therapy can alleviate depressive symptoms and metabolic abnormalities. We focused on the effects of vilazodone, escitalopram, and vortioxetine on metabolic indices. Our research aimed to examine changes after 16 weeks of intervention in the glycemic indices, serum creatinine, lipid profile, hepatic parameters, and the Hamilton Depression Rating Scale (HDRS) 17-item version.

METHODS

A three-arm, randomized, open-label trial with 96 MDD patients was executed. Participants were divided into three distinct groups in a 1:1:1 ratio for 16 weeks and issued tablets of vilazodone (20-40 mg/day), escitalopram (10-20 mg/day), or vortioxetine (5-20 mg/day). Vilazodone and vortioxetine were the two test medications, while escitalopram served as the control. We stratified the participants as non-diabetics and diabetics. Follow-up appointments were slated four weeks after the initial visit. HDRS scores and other metabolic indicators were assessed at each visit in the per-protocol (PP) population. After 12 weeks, glycated hemoglobin (HbA1c) levels were measured. Lower HDRS scores indicated that depression-related symptoms had improved. We investigated the relationship between the 16-week differences in the fasting blood sugar (FBS) and HDRS scores. The Kruskal-Wallis test, Bonferroni correction, and Pearson correlation were all used in our analysis. We registered our trial prospectively in the Clinical Trial Registry of India (CTRI) (2022/07/043808).

RESULTS

Of the 134 people we screened, 119 (81.34%) were deemed eligible. The PP population included 96 (88.07%) of those who completed the 16-week study. The population's average age was 46.3 ± 6.2 years. Across all study groups, the median baseline HDRS score was 30.0 (p = 0.964). At 16 weeks, the equivalent scores dropped to 15.0, 14.0, and 13.0 (p = 0.002). The median FBS levels at baseline and 16 weeks were 100.5, 104.0, and 98.0 (p = 0.491) and 91.5, 98.5, and 91.5 (p = 0.561), respectively. The post hoc analysis manifested no statistically significant changes between any parameters. Except for the reductions in glycemic indices in diabetic patients, no other data differed significantly. There was a positive relationship between FBS and HDRS scores.

CONCLUSION

Irrespective of the diabetic situation, all three drugs substantially lowered HDRS scores. People with diabetes experienced noticeable declines in glycemic indices. Despite this, the patients' other metabolic indicators showed no significant alterations. We urge additional research with a larger sample size to investigate these medications' long-term impact on various metabolic indicators.

Unlocking Therapeutic Synergy: Tailoring Drugs for Comorbidities such as Depression and Diabetes through Identical Molecular Targets in Different Cell Types

Research in the field of pharmacology aims to generate new treatments for pathologies. Nowadays, there are an increased number of chronic disorders that severely and durably handicap many patients. Among the most widespread pathologies, obesity, which is often associated with diabetes, is constantly increasing in incidence, and in parallel, neurodegenerative and mood disorders are increasingly affecting many people. For years, these pathologies have been so frequently observed in the population in a concomitant way that they are considered as comorbidities. In fact, common mechanisms are certainly at work in the etiology of these pathologies. The main purpose of this review is to show the value of anticipating the effect of baseline treatment of a condition on its comorbidity in order to obtain concomitant positive actions. One of the implications would be that by understanding and targeting shared molecular mechanisms underlying these conditions, it may be possible to tailor drugs that address both simultaneously. To this end, we firstly remind readers of the close link existing between depression and diabetes and secondly address the potential benefit of the pleiotropic actions of two major active molecules used to treat central and peripheral disorders, first a serotonin reuptake inhibitor (Prozac ®) and then GLP-1R agonists. In the second part, by discussing the therapeutic potential of new experimental antidepressant molecules, we will support the concept that a better understanding of the intracellular signaling pathways targeted by pharmacological agents could lead to future synergistic treatments targeting solely positive effects for comorbidities.

Efficacy and Safety of Antidepressants in Patients With Comorbid Depression and Medical Diseases: An Umbrella Systematic Review and Meta-Analysis

Importance

Every third to sixth patient with medical diseases receives antidepressants, but regulatory trials typically exclude comorbid medical diseases. Meta-analyses of antidepressants have shown small to medium effect sizes, but generalizability to clinical settings is unclear, where medical comorbidity is highly prevalent.

Objective

To perform an umbrella systematic review of the meta-analytic evidence and meta-analysis of the efficacy and safety of antidepressant use in populations with medical diseases and comorbid depression.

Data Sources

PubMed and EMBASE were searched from inception until March 31, 2023, for systematic reviews with or without meta-analyses of randomized clinical trials (RCTs) examining the efficacy and safety of antidepressants for treatment or prevention of comorbid depression in any medical disease.

Study Selection

Meta-analyses of placebo- or active-controlled RCTs studying antidepressants for depression in individuals with medical diseases.

Data Extraction and Synthesis

Data extraction and quality assessment using A Measurement Tool for the Assessment of Multiple Systematic Reviews (AMSTAR-2 and AMSTAR-Content) were performed by pairs of independent reviewers following PRISMA guidelines. When several meta-analyses studied the same medical disease, the largest meta-analysis was included. Random-effects meta-analyses pooled data on the primary outcome (efficacy), key secondary outcomes (acceptability and tolerability), and additional secondary outcomes (response and remission).

Main Outcomes and Measures

Antidepressant efficacy presented as standardized mean differences (SMDs) and tolerability (discontinuation for adverse effects) and acceptability (all-cause discontinuation) presented as risk ratios (RRs).

Results

Of 6587 references, 176 systematic reviews were identified in 43 medical diseases. Altogether, 52 meta-analyses in 27 medical diseases were included in the evidence synthesis (mean [SD] AMSTAR-2 quality score, 9.3 [3.1], with a maximum possible of 16; mean [SD] AMSTAR-Content score, 2.4 [1.9], with a maximum possible of 9). Across medical diseases (23 meta-analyses), antidepressants improved depression vs placebo (SMD, 0.42 [95% CI, 0.30-0.54]; I2 = 76.5%), with the largest SMDs for myocardial infarction (SMD, 1.38 [95% CI, 0.82-1.93]), functional chest pain (SMD, 0.87 [95% CI, 0.08-1.67]), and coronary artery disease (SMD, 0.83 [95% CI, 0.32-1.33]) and the smallest for low back pain (SMD, 0.06 [95% CI, 0.17-0.39]) and traumatic brain injury (SMD, 0.08 [95% CI, -0.28 to 0.45]). Antidepressants showed worse acceptability (24 meta-analyses; RR, 1.17 [95% CI, 1.02-1.32]) and tolerability (18 meta-analyses; RR, 1.39 [95% CI, 1.13-1.64]) compared with placebo. Antidepressants led to higher rates of response (8 meta-analyses; RR, 1.54 [95% CI, 1.14-1.94]) and remission (6 meta-analyses; RR, 1.43 [95% CI, 1.25-1.61]) than placebo. Antidepressants more likely prevented depression than placebo (7 meta-analyses; RR, 0.43 [95% CI, 0.33-0.53]).

Conclusions and Relevance

The results of this umbrella systematic review of meta-analyses found that antidepressants are effective and safe in treating and preventing depression in patients with comorbid medical disease. However, few large, high-quality RCTs exist in most medical diseases.

Depression increases the risk of mortality among people living with diabetes: Results from national health and nutrition examination survey, USA

INTRODUCTION

Type 2 Diabetes (T2D) and depression are leading global public health problems associated with profound disability and lower quality of life. Extensive evidence suggests that the two disorders are frequently comorbid. However, long-term effects such as the risk of mortality due to depression among people living with T2D are not well explored.

METHODS

Data from the National Health and Nutrition Examination Survey, 2005-2010 were linked with mortality files from the National Death Index up to December 31st, 2019.

RESULTS

A total of 14,920 American adults were included in the study sample; nearly a tenth of them had depression (9.08 %) or T2D (10 %). In adjusted analysis, individuals with T2D were 1.70 times more likely (95 % CI = 1.42-2.03) to die than those without T2D. Among people living with T2D without depression, the risk of mortality was 1.55 times higher, but those with both T2D and depression had a 4.24 times higher risk of mortality.

CONCLUSIONS

Given the greater risk of morbidity and premature mortality with cooccurring T2D and depression, widespread screening is warranted with a focus on high-risk groups. Integrated and collaborative care models can help address the psychosocial needs of people with T2D and should be widely implemented with the sensitization of clinicians and care teams in primary and specialist care for T2D.

The impact of veteran support and resources for diabetes (iNSPiRED) on diabetes distress: Results from a randomized, parallel-group trial

OBJECTIVE

The primary objective of this research was to assess the impact of a novel, peer-directed intervention (iNSPiRED) on diabetes distress (DD) among veterans with type 2 diabetes and DD. Secondary objectives were to assess iNSPiRED's impact on anxiety, depression, and diabetes self-management behaviors.

METHOD

A single-blinded, randomized, parallel-group trial was conducted. Participants (n = 218) were recruited through a Veterans Affairs medical center and community agencies in a major metropolitan area from September 2019 through January 2022. Certified mental health peer specialists delivered iNSPiRED, a three-month goal-setting and resource navigation intervention. Outcomes were assessed at baseline, postintervention, and month six. Multilevel random-intercept linear regression models with treatment x time interaction terms were used to assess treatment effects.

RESULTS

Frequency of following a healthy eating plan was higher for iNSPiRED vs usual care at month three relative to baseline (B = 0.58; p = 0.03) after adjusting for race and socioeconomic status. No other treatment effects differed significantly from zero (ps ≥ 0.05).

CONCLUSION

Peer-directed interventions have the potential to deliver low-cost, highly scalable care. However, based on the largely negative findings of the current study, it is likely that more intense, multimodal interventions are needed to address DD.

Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses

Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.

Impact of insulin and insulin resistance on brain dopamine signalling and reward processing- an underexplored mechanism in the pathophysiology of depression?

Type 2 diabetes and major depressive disorder (MDD) are the leading causes of disability worldwide and have a high comorbidity rate with fatal outcomes. Despite the long-established association between these conditions, the underlying molecular mechanisms remain unknown. Since the discovery of insulin receptors in the brain and the brain's reward system, evidence has accumulated indicating that insulin modulates dopaminergic (DA) signalling and reward behaviour. Here, we review the evidence from rodent and human studies, that insulin resistance directly alters central DA pathways, which may result in motivational deficits and depressive symptoms. Specifically, we first elaborate on the differential effects of insulin on DA signalling in the ventral tegmental area (VTA) - the primary DA source region in the midbrain - and the striatum as well as its effects on behaviour. We then focus on the alterations induced by insulin deficiency and resistance. Finally, we review the impact of insulin resistance in DA pathways in promoting depressive symptoms and anhedonia on a molecular and epidemiological level and discuss its relevance for stratified treatment strategies.

Insulin and fluoxetine produce opposite actions on lateral septal nucleus-infralimbic region connection responsivity

Some diabetes patients develop depression, the main treatment for which is antidepressants. Pharmacological interactions between insulin and antidepressants (e.g., fluoxetine) are controversial in the literature. Some authors reported hypoglycemic actions of fluoxetine, whereas others reported antidepressant-like actions. In healthy rats, insulin produces an antidespair-like action in rats through an increase in locomotor and exploratory activity, but differences in actions of insulin and fluoxetine on neuronal activity are unknown. The present study evaluated Wistar healthy rats that were treated with saline, insulin, fluoxetine, or fluoxetine + insulin for 3 days (short-term) or 21 days (long-term). The model consisted of electrical stimulation of the lateral septal nucleus (LSN) while we performed single-unit extracellular response recordings in the prelimbic cortex (PL) and infralimbic cortex (IL) subregions of the medial prefrontal cortex (mPFC). Stimulation of the LSN produced an initial brief excitatory paucisynaptic response and then a long-lasting inhibitory afterdischarge in the PL and IL. Treatment with saline and fluoxetine, but not insulin, minimally affected the paucisynaptic response. Differences were found in LSN-IL responsivity. The inhibitory afterdischarge was clearly enhanced in the long-term fluoxetine group but not by insulin alone or fluoxetine + insulin. These findings suggest that insulin produces some actions that are opposite to fluoxetine on LSN-mPFC connection responsivity, with no synergistic actions between the actions of insulin and fluoxetine.