The Association Between Selective Serotonin Reuptake Inhibitors and Glycemia: A Systematic Review and Meta-Analysis of 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.

Impact of Depression and HIV Symptoms on Glycemic Outcomes among Patients with HIV and Type 2 Diabetes: A Clinical Cohort Study

Type 2 diabetes (T2DM) and depressive symptoms frequently co-occur among people with HIV (PWH). Depression may impact diabetes management in PWH. This study evaluated the prevalence of concurrent T2DM and depression among PWH and the impact of depression and HIV symptoms on glycemic outcomes (hemoglobin A1c [A1c], blood glucose [BG]) among people with both HIV and T2DM. We conducted a secondary analysis in the CFAR Network of Integrated Clinical Systems, a multisite clinical cohort including a diverse population of PWH in care from July 2005 through July 2023. Linear regression and linear mixed models were used to estimate the association between depression, HIV symptoms, and glycemic outcomes (A1C, BG) at baseline and over time. Of the 18,562 PWH, 2,945 (16%) also had T2DM. PWH with T2DM were older (56 vs. 49 years) and more often non-Hispanic Black and cis-gender men. The prevalence of depression was not significantly different between PWH with or without T2DM (20% vs. 21%) although more PWH with T2DM received antidepressant medications. Among people with both HIV and T2DM, HIV baseline symptoms and depression were not associated with a change in A1c. Increases in time-updated HIV symptom scores were associated with random (non-fasting) BG levels, with each additional HIV symptom resulting in 0.8 mg/dL increase in random BG level (95% CI: 0.04-1.60, p = 0.04). The prevalence of T2DM was higher among PWH than in the general population. Although depression appears to be well managed, other factors impacting glycemic outcomes among people with both HIV and T2DM require further study.

Effects of selective serotonin reuptake inhibitors on endocrine system (Review)

Selective serotonin reuptake inhibitors (SSRIs) are typically prescribed for treating major depressive disorder (MDD) due to their high efficacy. These drugs function by inhibiting the reuptake of serotonin [also termed 5-hydroxytryptamine (5-HT)], which raises the levels of 5-HT in the synaptic cleft, leading to prolonged activation of postsynaptic 5-HT receptors. Despite the therapeutic benefits of SSRIs, this mechanism of action also disturbs the neuroendocrine response. Hypothalamic-pituitary-adrenal (HPA) axis activity is strongly linked to both MDD and the response to antidepressants, owing to the intricate interplay within the serotonergic system, which regulates feeding, water intake, sexual drive, reproduction and circadian rhythms. The aim of the present review was to provide up-to-date evidence for the proposed effects of SSRIs, such as fluoxetine, citalopram, escitalopram, paroxetine, sertraline and fluvoxamine, on the endocrine system. For this purpose, the literature related to the effects of SSRIs on the endocrine system was searched using the PubMed database. According to the available literature, SSRIs may have an adverse effect on glucose metabolism, sexual function and fertility by dysregulating the function of the HPA axis, pancreas and gonads. Therefore, considering that SSRIs are often prescribed for extended periods, it is crucial to monitor the patient closely with particular attention to the function of the endocrine system.

The selective serotonin reuptake inhibitors, sertraline and paroxetine, improve islet beta-cell mass and function in vitro

AIMS

To investigate the effects of the selective serotonin reuptake inhibitors (SSRIs) sertraline and paroxetine at therapeutically relevant concentrations on beta-cell mass and function.

METHODS

Viability was quantified in mouse insulinoma (MIN6) beta cells and mouse islets after 48-h exposure to sertraline (1-10 μM) or paroxetine (0.01-1 μM) using the Trypan blue exclusion test. The effects of therapeutic concentrations of these SSRIs on insulin secretion were determined by static incubation and perifusion experiments, while islet apoptosis was investigated by Caspase-Glo 3/7 assay, TUNEL staining and quantitative PCR analysis. Finally, proliferation of MIN6 and mouse islet beta cells was assessed by bromodeoxyuridine (BrdU) enzyme-linked immunosorbent assay and immunofluorescence.

RESULTS

Sertraline (0.1-1 μM) and paroxetine (0.01-0.1 μM) were well tolerated by MIN6 beta cells and islets, whereas 10 μM sertraline and 1 μM paroxetine were cytotoxic. Exposure to 1 μM sertraline and 0.1 μM paroxetine significantly potentiated glucose-stimulated insulin secretion from mouse and human islets. Moreover, they showed protective effects against cytokine- and palmitate-induced apoptosis of islets, they downregulated cytokine-induced Stat1 and Traf1 mRNA expression, and they significantly increased proliferation of mouse beta cells.

CONCLUSIONS

Our data demonstrate that sertraline and paroxetine act directly on beta cells to enhance glucose-stimulated insulin secretion and stimulate beta-cell mass expansion by increasing proliferation and decreasing apoptosis. These drugs are therefore likely to be appropriate for treating depression in people with type 2 diabetes.

Achievement of glycemic control and antidepressant medication use in comorbid depression and type 2 diabetes

BACKGROUND

Existing studies designed to determine if depression treatment in patients with type 2 diabetes (T2D) is associated with improved glycemic control have produced inconsistent results. The present study investigated the link between acute phase antidepressant medication treatment and achievement of glycemic control in patients with T2D using nationally distributed electronic health record data.

METHODS

A retrospective cohort study (n = 7332) was conducted using nationally distributed Optum® de-identified electronic health record data from 2010 to 2018. Eligible patients were 18-64 years old and had T2D, depression, and poor glycemic control. Antidepressant medication treatment was categorized into acute phase treatment (≥12 weeks), less than acute phase (<12 weeks) or no treatment. Glycemic control was defined as HbA1c < 7.0 % (53 mmol/mol). Propensity scores (PS) and inverse probability of treatment weighting (IPTW) controlled for confounding. Extended Cox models measured the association between duration of antidepressant medication treatment and glycemic control at 0 to 36 months, 36 to 72 months and ≥72 months.

RESULTS

After controlling for confounding, compared to no treatment, acute phase treatment was significantly associated with achieving glycemic control within 36 months (HR 1.17, 95 % CI 1.02-1.34). No association was observed beyond 36 months. There was no association between acute vs. less than acute phase treatment and glycemic control.

LIMITATIONS

We were unable to measure decreased depression severity which could contribute to glycemic control.

CONCLUSIONS

For patients with T2D and hyperglycemia, acute phase antidepressant medication may enable glycemic control. Further research is needed to establish mechanisms for this association.

Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach

BACKGROUND

Predicting the course of depression is necessary for personalized treatment. Impaired glucose metabolism (IGM) was introduced as a promising depression biomarker, but no consensus was made. This study aimed to predict IGM at the time of depression diagnosis and examine the relationship between long-term prognosis and predicted results.

METHODS

Clinical data were extracted from four electronic health records in South Korea. The study population included patients with depression, and the outcome was IGM within 1 year. One database was used to develop the model using three algorithms. External validation was performed using the best algorithm across the three databases. The area under the curve (AUC) was calculated to determine the model's performance. Kaplan-Meier and Cox survival analyses of the risk of hospitalization for depression as the long-term outcome were performed. A meta-analysis of the long-term outcome was performed across the four databases.

RESULTS

A prediction model was developed using the data of 3,668 people, with an AUC of 0.781 with least absolute shrinkage and selection operator (LASSO) logistic regression. In the external validation, the AUCs were 0.643, 0.610, and 0.515. Through the predicted results, survival analysis and meta-analysis were performed; the hazard ratios of risk of hospitalization for depression in patients predicted to have IGM was 1.20 (95% confidence interval [CI] 1.02-1.41, p = 0.027) at a 3-year follow-up.

CONCLUSIONS

We developed prediction models for IGM occurrence within a year. The predicted results were related to the long-term prognosis of depression, presenting as a promising IGM biomarker related to the prognosis of depression.

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.

The role of mental disorders in precision medicine for diabetes: a narrative review

This narrative review aims to examine the value of addressing mental disorders as part of the care of people with type 1 and type 2 diabetes in terms of four components of precision medicine. First, we review the empirical literature on the role of common mental disorders in the development and outcomes of diabetes (precision prevention and prognostics). We then review interventions that can address mental disorders in individuals with diabetes or at risk of diabetes (precision treatment) and highlight recent studies that have used novel methods to individualise interventions, in person and through applications, based on mental disorders. Additionally, we discuss the use of detailed assessment of mental disorders using, for example, mobile health technologies (precision monitoring). Finally, we discuss future directions in research and practice and challenges to addressing mental disorders as a factor in precision medicine for diabetes. This review shows that several mental disorders are associated with a higher risk of type 2 diabetes and its complications, while there is suggestive evidence indicating that treating some mental disorders could contribute to the prevention of diabetes and improve diabetes outcomes. Using technologically enabled solutions to identify mental disorders could help individuals who stand to benefit from particular treatments. However, there are considerable gaps in knowledge and several challenges to be met before we can stratify treatment recommendations based on mental disorders. Overall, this review demonstrates that addressing mental disorders as a facet of precision medicine could have considerable value for routine diabetes care and has the potential to improve diabetes outcomes.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

The selective serotonin reuptake inhibitor fluoxetine has direct effects on beta cells, promoting insulin secretion and increasing beta-cell mass

AIM

This study investigated whether therapeutically relevant concentrations of fluoxetine, which have been shown to reduce plasma glucose and glycated haemoglobin independent of changes in food intake and body weight, regulate beta-cell function and improve glucose homeostasis.

METHODS

Cell viability, insulin secretion, beta-cell proliferation and apoptosis were assessed after exposure of MIN6 beta cells or isolated mouse and human islets to 0.1, 1 or 10 μmol/L fluoxetine. The effect of fluoxetine (10 mg/kg body weight) administration on glucose homeostasis and islet function was also examined in ob/ob mice.

RESULTS

Exposure of MIN6 cells and mouse islets to 0.1 and 1 μmol/L fluoxetine for 72 hours did not compromise cell viability but 10 μmol/L fluoxetine significantly increased Trypan blue uptake. The dose of 1 μmol/L fluoxetine significantly increased beta-cell proliferation and protected islet cells from cytokine-induced apoptosis. In addition, 1 μmol/L fluoxetine induced rapid and reversible potentiation of glucose-stimulated insulin secretion from islets isolated from mice, and from lean and obese human donors. Finally, intraperitoneal administration of fluoxetine to ob/ob mice over 14 days improved glucose tolerance and resulted in significant increases in beta-cell proliferation and enhanced insulin secretory capacity.

CONCLUSIONS

These data are consistent with a role for fluoxetine in regulating glucose homeostasis through direct effects on beta cells. Fluoxetine thus demonstrates promise as a preferential antidepressant for patients with concomitant occurrence of depression and diabetes.

Antidepressant use and risk of adverse outcomes: population-based cohort study

BACKGROUND

Antidepressants are one of the most widely prescribed drugs in the global north. However, little is known about the health consequences of long-term treatment.

AIMS

This study aimed to investigate the association between antidepressant use and adverse events.

METHOD

The study cohort consisted of UK Biobank participants whose data was linked to primary care records (N = 222 121). We assessed the association between antidepressant use by drug class (selective serotonin reuptake inhibitors (SSRIs) and 'other') and four morbidity (diabetes, hypertension, coronary heart disease (CHD), cerebrovascular disease (CV)) and two mortality (cardiovascular disease (CVD) and all-cause) outcomes, using Cox's proportional hazards model at 5- and 10-year follow-up.

RESULTS

SSRI treatment was associated with decreased risk of diabetes at 5 years (hazard ratio 0.64, 95% CI 0.49-0.83) and 10 years (hazard ratio 0.68, 95% CI 0.53-0.87), and hypertension at 10 years (hazard ratio 0.77, 95% CI 0.66-0.89). At 10-year follow-up, SSRI treatment was associated with increased risks of CV (hazard ratio 1.34, 95% CI 1.02-1.77), CVD mortality (hazard ratio 1.87, 95% CI 1.38-2.53) and all-cause mortality (hazard ratio 1.73, 95% CI 1.48-2.03), and 'other' class treatment was associated with increased risk of CHD (hazard ratio 1.99, 95% CI 1.31-3.01), CVD (hazard ratio 1.86, 95% CI 1.10-3.15) and all-cause mortality (hazard ratio 2.20, 95% CI 1.71-2.84).

CONCLUSIONS

Our findings indicate an association between long-term antidepressant usage and elevated risks of CHD, CVD mortality and all-cause mortality. Further research is needed to assess whether the observed associations are causal, and elucidate the underlying mechanisms.

Effects of the selective serotonin reuptake inhibitor fluoxetine on glucose metabolism: A systematic review

OBJECTIVES

The metabolic effects of antidepressants should be considered when prescribing antidepressants due to the increasing risk of diabetes, obesity and cardiovascular disease. This study aims to explore the effects of fluoxetine on glucose and lipid metabolism in human body.

METHODS

Studies of the effects of fluoxetine on glucose and lipid metabolism were collected from the PubMed, MEDLINE and Embase databases without limiting the research design. The retrieval spanned between inception and January 2021. The main outcome measures were fasting blood glucose, glycosylated hemoglobin (mainly HbA1c) and body weight.

RESULTS

A total of 24 studies were retrieved, including 20 randomized controlled trials (RCTs), 1 prospective study and 3 case reports. The meta-analysis showed that FBG and HbA_1c levels were moderately decreased(MD-0.85[-1.75, -0.13], P = 0.02 and MD-0.55[-1.23, 0.13], P = 0.11 respectively) and body weight was significantly decreased (MD-3.01[-5.58, -0.44], P < 0.00001) with fluoxetine treatment compared with placebo. Both plasma triglyceride (TG) and total cholesterol (TC) levels decreased significantly (P < 0.00001).

CONCLUSION

Fluoxetine had a positive effect on improving blood glucose control in patients with disorders of glucose metabolism and was good for weight management in obese people despite significant heterogeneity between studies.

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

This network meta-analysis compared the short-term treatment effects of different antidepressants on depression severity and HbA1c in depressed patients with type 2 diabetes mellitus (T2DM). We searched 8- to 24-week randomized-controlled trials (RCTs) in PubMed, Scopus, Web of Science, Cochrane Central Register of Controlled Trials, and Clinicaltrials.gov on November 22, 2021. We included 12 RCTs (N = 792) studying agomelatine, citalopram, escitalopram, fluoxetine, nortriptyline, no treatment, paroxetine, sertraline, vortioxetine, and placebo. Compared to placebo, the standardized mean differences and 95% confidence intervals (SMD, 95%CIs) for depression severity reduction revealed that escitalopram ranked first (-2.93, -3.92 to -1.94), followed by agomelatine (-0.68, -1.15 to -0.20). Compared to placebo, the mean differences (MDs, 95%CIs) for HbA1c reduction suggested that vortioxetine ranked first (-2.35, -4.13 to -0.57), followed by escitalopram (-1.00, -1.42 to -0.57) and agomelatine (-0.79, -1.16 to -0.42). Limited evidence from short-term trials in depressed patients with T2DM suggests that escitalopram and agomelatine may have a favorable profile in reducing depression and controlling glycemic goals, but more trials are required.

Oral fluoxetine treatment changes serotonergic sympatho-regulation in experimental type 1 diabetes

AIMS

This study investigated whether fluoxetine treatment changes the 5-HT regulation on vascular sympathetic neurotransmission in type 1 diabetes.

MAIN METHODS

Four-week diabetes was obtained by a single alloxan s.c. administration in male Wistar rats, administering fluoxetine for 14 days (10 mg/kg/day; p.o.). Systolic blood pressure, heart rate, glycaemia, body weight (BW) evolution, creatinine, and blood urea nitrogen (BUN) were monitored. Afterward, rats were pithed to perform the vascular sympathetic stimulation. 5-HT_1A/1D/2A receptors expression was analysed by Western blot in thoracic aorta. Both i.v. norepinephrine and the electrical stimulation of the spinal sympathetic drive evoked vasoconstrictor responses.

KEY FINDINGS

Fluoxetine treatment significantly reduced the BW gain, hyperglycaemia, creatinine, and BUN in diabetic rats. The electrical-produced vasopressor responses were greater in untreated than in fluoxetine-treated diabetic rats. 5-HT decreased the sympathetic-produced vasopressor responses. While 5-CT, 8-OH-DPAT and L-694,247 (5-HT_1/7, 5-HT_1A and 5-HT_1D agonists, respectively) reproduced 5-HT-evoked inhibition, the 5-HT₂ activation by α-methyl-5-HT augmented the vasoconstrictions. The 5-CT sympatho-inhibition was reversed by 5-HT_1A plus 5-HT_1D antagonists (WAY-100,635 and LY310762, respectively), whereas ritanserin (5-HT_2A antagonist) blocked the α-methyl-5-HT potentiating effect. Norepinephrine-generated vasoconstrictions were increased or diminished by α-methyl-5-HT or 5-CT, respectively. 5-HT_1A/1D/2A receptors were expressed at vascular level, being 5-HT_1A expression increased by fluoxetine in diabetic rats.

SIGNIFICANCE

Our findings suggest that fluoxetine improves metabolic and renal profiles, changes the vasopressor responses, and 5-HT receptors modulating sympathetic activity in diabetic rats: 5-HT_1A/1D are involved in the sympatho-inhibition, while 5-HT_2A is implicated in the sympatho-potentiation, being both effects pre and/or postjunctional in nature.

Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder

BACKGROUND

Cognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care.

OBJECTIVE

To investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors.

METHODS

We retrospectively studied women of 18-34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4-8 and 8-12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)-based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment.

RESULTS

We evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8-12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8-12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001).

CONCLUSIONS

Cognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8-12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes.

Extrapulmonary symptoms of patients with asthma treated in specialist pulmonary care

OBJECTIVE

Patients seeking treatment for their asthma are most likely motivated by a change in their experience of symptoms, but primary complaints are not always related to the pulmonary system. This study aimed to determine the frequency of such extrapulmonary symptoms in asthma outpatients and their association with psychopathology and asthma outcomes.

METHODS

This cross-sectional study utilized data collected as part of a nationwide, clinical-epidemiological study. The final sample of 572 asthma patients represented all levels of asthma control and severity. Information on demographics and respiratory function was obtained from physicians' documentation. Symptoms were explored using a standardized checklist.

RESULTS

Primary symptoms reported by asthma patients were not necessarily airway-related. Patients reported feeling at least occasionally "tired" (72.1%) and "exhausted" (66.8%) more than any other asthma symptom. Hyperventilation and mood symptoms were experienced by 34.4-42.6% of patients. Anxiety or depression diagnoses indicated higher scores in all symptom domains. Controlling for asthma-related factors and psychopathology, fatigue had a small but significant effect on both asthma-related quality of life (AQLQ) (r_sp² = 0.02, P < .001) and asthma control (r_sp² = 0.01, P = .003). Mood symptoms also showed a small but significant effect on AQLQ (r_sp² = 0.02, P < .001).

CONCLUSION

Findings suggest that extrapulmonary symptoms are endorsed more frequently than previously reported. Symptoms nonspecific to asthma can play a substantial role in clinical presentation and exclusive focus on airway symptoms may miss important information related to patients' well-being. Surveillance of extrapulmonary symptoms alongside pulmonary function is warranted for an integrated medicine approach to asthma management.

Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

This study aimed at examining the effects of different antidepressants on the new onset of T2DM.

METHODS

Systematic literature retrieval for cohort and case-control studies was conducted in PubMed, Embase, Web of Science, Cochrane library, Clinical Trials Register of the Cochrane Collaboration and CENTRAL published from January 2000 to October 2020. Pooled estimates were calculated and subgroup analyses were conducted by a fixed or random effects model according to the heterogeneity. Funnel plots and Egger's test were performed to evaluate publication bias. Stata Version 15.1 was used for data analysis.

RESULTS

Thirty studies (24 cohort, 4 nested case-control and 2 case-control studies) were included covering 2,875,567 participants with the follow-up periods from 1 year to 18 years (Median=8.4 years). The pooled estimates of antidepressants use and new-onset T2DM were HR=1.24 (95% CI: 1.18, 1.31), RR=1.42 (95% CI: 0.99, 2.05) and OR=1.17 (95% CI: 1.03, 1.32), respectively. However, subgroup analyses showed that only tricyclic antidepressants (TCAs) use was positively associated with the new onset of T2DM in both cohort studies (combined RR=1.39, 95% CI: 1.17, 1.65) and case-control studies (combined OR=1.25, 95% CI: 1.05, 1.50). Moreover, the risk of T2DM was increased with the duration of antidepressants use in a linear trend (R²= 88.51%, P = 0.009).

LIMITATIONS

Heterogeneity might impact the results and inference.

CONCLUSIONS

Antidepressants use might be a risk factor for the new onset of T2DM. Patients with long-term antidepressants use should be evaluated cautiously for T2DM risk. Routine T2DM screening is necessary in antidepressants users.

Putative Anti-Immobility Action of Acute Insulin Is Attributable to an Increase in Locomotor Activity in Healthy Wistar Rats

BACKGROUND/AIMS

Anti-immobility actions of insulin in diabetic rats that are subjected to the forced swim test (FST) have been reported. In this test, low doses of antidepressants exert actions after long-term treatment, without affecting locomotor activity in healthy rats. Few studies have compared acute and chronic actions of insulin with antidepressants in healthy rats.

METHODS

We hypothesized that if insulin exerts a true anti-immobility action, then its effects must be comparable to fluoxetine in both a 1-day treatment regimen and a 21-day treatment regimen in healthy, gonadally intact female Wistar rats.

RESULTS

The results showed that low levels of glycemia were produced by all treatments, including fluoxetine, and glycemia was lower in proestrus-estrus than in diestrus-metestrus. None of the treatments or regimens produced actions on indicators of anxiety in the elevated plus maze. Insulin in the 1-day regimen increased the number of crossings and rearings in the open field test and caused a low cumulative immobility time in the FST. These actions disappeared in the 21-day regimen. Compared with the other treatments, fluoxetine treatment alone or combined with insulin produced a longer latency to the first period of immobility and a shorter immobility time in the chronic regimen in the FST, without affecting locomotor activity, and more pronounced actions were observed in proestrus-estrus (i.e., a true anti-immobility effect).

CONCLUSION

These results indicate that insulin does not produce a true antidepressant action in healthy rats. The purported antidepressant effects that were observed were instead attributable to an increase in locomotor activity only in the 1-day regimen.

Does Treatment for Depression With Collaborative Care Improve the Glycemic Levels in Diabetic Patients with Depression? A Systematic Review

Diabetes is a chronic disease with a high prevalence in the United States. If not treated adequately, it can have serious complications. Furthermore, when depression affects concomitantly, adherence to treatment can be decreased. Therefore, a cascade of complications may develop, affecting the quality of life and increasing the risk of death. Depression is underdiagnosed in patients with diabetes, and even if diagnosed, the treatment for both diabetes and depression is not well established in primary care. This study aims to evaluate if treatment for depression with collaborative care can improve glycemic levels and depression treatment response in diabetic patients with depression. As well, we will investigate if treatment with antidepressants will aid in improving glycemic levels. For this systematic review, we followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and used PubMed, PubMed Central, and MEDLINE as database. Keywords: "diabetes improvement with depression treatment'. For collaborative care intervention, we selected three systematic reviews and meta-analysis. These three studies gave us a total of 1637 patients evaluated for the glycemic outcome and 1793 patients for depression outcomes. For the intervention with antidepressants, we included two articles. One systematic review and meta-analysis that evaluated the effect of selective serotonin reuptake inhibitors (SSRIs) on glycemic levels and the second article involved was a systematic review that assessed the effect of antidepressants on glycemia. A total of 4119 diabetic patients taking antidepressants were evaluated for glucose levels of the outcome. For the collaborative care outcome: two of the three studies showed non-significant improvement of glycemic levels with intervention. However, one study that had a bigger sample size exhibited significant improvement of glycemia with collaborative care. It is necessary to elaborate on new studies to confirm this finding. For the glycemic outcome with antidepressants: SSRIs improve glycemic levels. This class of antidepressants is the most studied, and it would be interesting to perform trials comparing different classes of antidepressants with a bigger sample size and run for a more extended period. According to our review, collaborative care improves glycemia and depression treatment response. At the same time, it improves the adherence to treatment of both oral hypoglycemic drugs and antidepressants. SSRIs demonstrated to be more effective in glycemic control. The most studied and effective SSRIs are fluoxetine, escitalopram, and citalopram.

Tropisetron attenuates pancreas apoptosis in the STZ-induced diabetic rats: involvement of SIRT1/NF-κB signaling

BACKGROUND

Diabetes mellitus (DM) is one of the most common diseases in the worldwide. Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency and beta cells apoptosis. Tropisetron as a 5-HT3 receptor antagonist has positive effects on the inflammation, apoptosis and glucose lowering. The aim of this study was to investigate the effect of tropisetron on β-cells apoptosis and its possible pathways.

METHODS

Animals were divided into five equal groups: the control, tropisetron, diabetes, tropisetron-DM and glibenclamide-DM (seven in each group). Tropisetron and glibenclamide were administrated for 2 weeks after type 1 diabetes induction. Real-time PCR, western blot analysis and TUNEL assay were performed.

RESULTS

We found that tropisetron decreased blood glucose and increased insulin secretion. Protein expression of NF-κB was downregulated, while protein expression of SIRT1 upregulated after tropisetron treatment. Moreover, Bax/Bcl2 ratio decreased in tropisetron-DM group and finally, apoptosis improved in pancreas tissue.

CONCLUSIONS

It seems that tropisetron administration improves STZ-induced apoptosis and diabetes in the animals. This effect might be resulted from involvement in NF-κB/ SIRT1 pathway.

Tropisetron improves pancreas function and increases insulin synthesis and secretion in the STZ-induced diabetic rats: involvement of UCP2/ZnT8 pathway

OBJECTIVES

Diabetes mellitus is one of the most common metabolic diseases. Tropisetron, as a 5-HT3 receptor antagonist, has a considerable role in the inflammation and oxidative stress lowering. This study aimed to investigate the effect of this 5-HT3 receptor antagonist on insulin secretion in male diabetic rats and the possible mechanisms.

METHODS

Animals were divided into five equal groups; the control, tropisetron, diabetes, tropisetron-diabetes and glibenclamide-diabetes (7 in each group). Tropisetron and glibenclamide were administrated for 2 weeks after inducing type 1 diabetes.

KEY FINDINGS

We demonstrated that insulin secretion improved robustly in diabetes-tropisetron compared with the diabetic group. Oxidative stress biomarkers were lower in a diabetes-tropisetron group than in diabetic rats. Simultaneously, tropisetron administration promoted the expression of ZnT8 and GLUT2 and also beta-cell mass in pancreatic tissue, while the expression of uncoupling protein 2 (UCP2) was restrained. The histological evaluation confirmed our results. These effects were equipotent with glibenclamide, indicating that tropisetron can protect islets from the abnormal insulin secretion and morphological changes induced by type 1 diabetes.

CONCLUSIONS

This effect might be partly related to the modulated UCP2/ZnT8 signal pathway and improved oxidative stress-induced damage.

Abnormal C-reactive protein blood levels as a specific biomarker of major depression and non-remission under antidepressants in schizophrenia

BACKGROUND

C-reactive protein (CRP) is a general marker of peripheral inflammation and has been shown to be a good marker of neuroinflammation. CRP has been found to be elevated in patients with mood disorders (especially unipolar disorders (UD) and in schizophrenia (SZ)) but also to be lowered by antidepressants.

OBJECTIVE

The objectives were (i) to determine the prevalence of major depression, antidepressant prescription and remission under antidepressant in a stabilized population of SZ and UD patients consulting in a daily hospital, and (ii) to determine if CRP was a marker of major depression and remission under antidepressant in these SZ and UD populations.

METHODS

Abnormal CRP was defined by a CRP blood level ≥ 3 mg/L. Depressive symptoms were assessed by the Calgary Depression Rating Scale score. The clinicians were blinded of the CRP status of the patient.

RESULTS

411 patients were included (272 SZ and 139 UD). 171 (41.6%) were diagnosed with current major depression (74 (27.2%) for SZ and 97 (69.8%) for UD). 86 SZ (31.6%) and 119 UD (85.6%) were treated by antidepressant. Only 28/74 (37.8%) of the SZ subjects with major depression were administered antidepressants vs. 87/97 (89.7%) for UD. The non-remission rate under antidepressant was 28/86(32.6%) for SZ and 87/119 (73.1%) for UD. Overall, 105 (40.1%) of SZ and 39 (28.1%) of UD patients were found to have abnormal CRP blood levels. Abnormal CRP levels were significantly associated with increased MDD and more strongly with increased rates of non-remission under antidepressants in SZ patients, independently of age, gender, psychotic symptomatology, functioning, tobacco smoking and metabolic syndrome. This result was not replicated in UD patients, which suggests that CRP may be a specific marker of major depression and remission under antidepressant in SZ patients.

CONCLUSION

The development of biomarkers in psychiatry may orientate specific etiologic therapies in patients with mental disorders. The present findings suggest that major depression is frequent in SZ patients and that increased CRP levels are associated with non-remission under antidepressants in this population. Anti-inflammatory strategies may be particularly useful in this specific population.

DOUBLE DIPPER: COMORBID DEPRESSION AND DIABETES, FROM A BIOMARKER TO TREATMENT. SHOULD ENDOCRINOLOGISTS BE EDUCATED TO BE AT THE FOREFRONT OF DEPRESSION TREATMENT?

Abbreviations: AACE = American Association of Clinical Endocrinologists; GDNF = glial cell-derived neurotrophic factor; GFLs = GDNF family of ligands; HbA1c = glycated hemoglobin; PHQ-9 = Patient Health Questionnaire-9; SSRI = selective serotonin re-uptake inhibitor; T2D = type 2 diabetes.

Another Step Toward Clarifying the Benefits and Burdens of Selective Serotonin Reuptake Inhibitors

Selective serotonin reuptake inhibitors (SSRIs) have substantial beneficial effects for the treatment of major depressive mood disorders and other conditions but can also result in unwanted clinical outcomes. One of the reported disadvantages of SSRIs, based on cross-sectional studies, is their adverse effects on glycemic control. However, in this issue of Psychosomatic Medicine, Tharmaraja et al. report a meta-analysis of 16 randomized controlled trials, demonstrating beneficial effects of SSRIs on changes in glycemia. In this editorial, the advantages of meta-analysis in biobehavioral medicine are highlighted as well as the importance of the study designs (observational studies versus randomized controlled trials) on which the meta-analyses are based. This article concludes with an outline for future research directions in the area of SSRIs and glycemic control.