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Low omega-3 polyunsaturated fatty acids predict reduced response to standard antidepressants in patients with major depressive disorder.
Cussotto, S, Delgado, I, Oriolo, G, Kemper, J, Begarie, D, Dexpert, S, Sauvant, J, Leboyer, M, Aouizerate, B, Martin-Santos, R, et al
Depression and anxiety. 2022
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Plain language summary
Major depressive disorder (MDD) is a leading cause of disability, and antidepressant drug treatment is only effective in over half of patients with a high prevalence of treatment resistance. The importance of nutrition in mental health is gaining recognition. Omega-3 is an essential polyunsaturated fatty acid (PUFA) vital for anti-inflammatory processes and brain integrity. In the absence of the body's ability to make Omega-3, it or its precursors must be acquired from the diet. Yet altered metabolic pathways can hamper the process and the adequate balance with PUFA Omega‐6 is also crucial, as elevated levels of Omega-6 are linked to several diseases. An extensive amount of research suggests that higher Omega-3 levels reduce the occurrence of depression. Yet results using just Omega-3s for depression have been varied. This European-wide study sought to investigate how the PUFA status could affect the clinical response to treatment with antidepressants. 60-adults with an average age of 41 with major depressive disorders received antidepressive treatment. Their red blood cell fatty acids content was determined, and at the end of the 8-week trial treatment responders and non-responders were identified. Findings affirmed the existing knowledge that depressive symptoms are strongly associated with PUFA status. Patients who did not respond to treatment showed low levels of Omega-3 and an unfavourable ratio of Omega-3 to Omega-6 at the start of treatment. Higher levels of Omega-3 fatty acid of DHA seemed to produce a better clinical response to treatments than the Omega-3 of EPA. The authors discussed some potential mechanisms and suggested that PUFA intake and metabolism could be a potential tool for the management of treatment-unresponsive patients with depression. This review highlights the clinical importance of considering PUFA status and metabolism in the support of major depressive disorders.
Expert Review
Conflicts of interest:
None
Take Home Message:
- Healthy eating such as that with low omega-6 diets has more than a physiological result on the human body and carries significant biochemical consequences when the omega-6 to omega-3 ratio is deemed to be ‘high’.
- The result of this research has pharmaceutical implications - if the findings could be imparted to the general public in layman’s terms, practitioners could empower individuals to take greater control of their mental health through more naturalistic means, i.e., optimised nutrition.
- There are wider cognitive considerations of healthy eating beyond that of treating Major Depressive Disorder due to implicated blood-brain-barrier effects, as concluded in this study.
Evidence Category:
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A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
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B: Systematic reviews including RCTs of limited number
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C: Non-randomized trials, observational studies, narrative reviews
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D: Case-reports, evidence-based clinical findings
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E: Opinion piece, other
Summary Review:
Sixty adults suffering from major depressive disorder (MDD) were recruited into a multicenter study assessing the impact of baseline polyunsaturated (PUFA) levels on responsiveness to antidepressants. Neuropsychiatric evaluations producing MADRS (Montgomery Åsberg Depression Rating Scale) scores at baseline, four weeks and again at eight weeks, were performed. The pre-recorded baseline PUFA levels were then used as an associative and predictive indicator when viewing the end point scoring of participants, thus categorising into responsive and nonresponsive strata.
Of those with low omega-3 and high omega-6 to omega-3 ratio at baseline, there was increased association with ‘non-responsive’ classification at end point (week 8). Participants were deemed ‘non-responsive’ to anti-depressant treatment when scores at week 8 failed to demonstrate ≥50% reduction in MADRS scoring.
Clinical practice applications:
- Clinicians could monitor MDD within at-risk-groups, such as those who are overweight (mean BMI of ALL study participants was 24.20 kg/m2 with a standard deviation of 4.21) or those experiencing an inflammatory state with blood-brain-barrier involvement, as part of a mental ill-health prevention programme.
- When presenting with symptoms of major depressive disorder and prescribing antidepressants, clinicians could recommend increasing consumption of foods high in omega-3 and/or querying the patient about their dietary habits.
- Article supports recommendations for an increase in the consumption of omega-3 rich foods amongst the general population to prevent or intervene in cases of major depressive disorder.
- Wider cognitive implications beyond major depressive disorder in the presence of low omega-3, such as cognitive decline as seen with dementia, theorised due to altered blood-brain-barrier (Cussotto et al., 2022; Gustafson et al., 2020).
Considerations for future research:
- Repeated studies, with normalised distribution of antidepressant and sample size by country, with greater geographic inclusion, along with age categorisation. The broader geographic inclusion is necessary to rule out cultural diets as a confounding variable. An example of how different cultural diets could influence the results, which has potentially been highlighted in this study, is the more predominant consumption of a Mediterranean diet which may have been the case for the participants from Spain or, as could also be the case, an underlying vitamin D deficiency of the participants from Germany.
- Novel studies for assessing diet against mood could be beneficial to fully apply the findings of this study to clinical practice applications and that of the practice of nutritional therapists. The thinking here is the potential for anti-inflammatory foods inducing better mood results through gut-brain axis links and resultant influence on microbiome.
Abstract
BACKGROUND Major depressive disorder (MDD) is characterized by a high rate of treatment resistance. Omega (ω)-3 polyunsaturated fatty acids (PUFAs) were shown to correlate with depressive phenotype both in rodents and in humans. However, few studies to date have investigated the role of PUFAs in antidepressant response. The primary aim of this study was to assess the link between baseline PUFA composition and changes in depressive symptoms as well as antidepressant response in a multicenter study of depressed patients. METHODS Sixty depressed adults who met criteria for MDD according to DSM-IV-TR were recruited. Neuropsychiatric evaluations occurred at baseline and after 4 and 8 weeks of treatment with standard antidepressants, including escitalopram (N = 45), sertraline (N = 13) and venlafaxine (N = 2). At study endpoint, patients were stratified into responders (R) or non-responders (NR) based on their MADRS (Montgomery-Åsberg Depression Rating Scale) score. Baseline PUFA levels were assessed and their association with clinical response was determined. RESULTS Lower ω-3 PUFA levels were associated to worse baseline symptomatology. Baseline levels of PUFAs were significantly different between R and NR, with R exhibiting lower docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and ω-3 index; and higher ω-6/ω-3 ratio than NR before the start of antidepressant treatment. DHA levels as well as the ω-3 index and ω-6/ω-3 ratio significantly predicted response to antidepressants at study endpoint. CONCLUSIONS These results show that baseline levels of PUFAs predict later response to standard antidepressants in depressed subjects. They suggest that PUFA intake and/or metabolism represent a novel modifiable tool for the management of unresponsive depressed patients.
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High S100B Levels Predict Antidepressant Response in Patients With Major Depression Even When Considering Inflammatory and Metabolic Markers.
Navinés, R, Oriolo, G, Horrillo, I, Cavero, M, Aouizerate, B, Schaefer, M, Capuron, L, Meana, JJ, Martin-Santos, R
The international journal of neuropsychopharmacology. 2022;(6):468-478
Abstract
BACKGROUND The relationship between antidepressant response and glial, inflammatory, and metabolic markers is poorly understood in depression. This study assessed the ability of biological markers to predict antidepressant response in major depressive disorder (MDD). METHODS We included 31 MDD outpatients treated with escitalopram or sertraline for 8 consecutive weeks. The Montgomery-Åsberg Depression Rating Scale (MADRS) was administered at baseline and at week 4 and 8 of treatment. Concomitantly, blood samples were collected for the determination of serum S100B, C-reactive protein (CRP), and high-density lipoprotein cholesterol (HDL)-C levels. Treatment response was defined as ≥50% improvement in the MADRS score from baseline to either week 4 or 8. Variables associated with treatment response were included in a linear regression model as predictors of treatment response. RESULTS Twenty-seven patients (87%) completed 8 weeks of treatment; 74% and 63% were responders at week 4 and 8, respectively. High S100B and low HDL-C levels at baseline were associated with better treatment response at both time points. Low CRP levels were correlated with better response at week 4. Multivariate analysis showed that high baseline S100B levels and low baseline HDL-C levels were good predictors of treatment response at week 4 (R2 = 0.457, P = .001), while S100B was at week 8 (R2 = 0.239, P = .011). Importantly, baseline S100B and HDL-C levels were not associated with depression severity and did not change over time with clinical improvement. CONCLUSIONS Serum S100B levels appear to be a useful biomarker of antidepressant response in MDD even when considering inflammatory and metabolic markers.
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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies.
Wu, Y, Levis, B, Sun, Y, Krishnan, A, He, C, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Neupane, D, et al
Journal of psychosomatic research. 2020;:109892
Abstract
OBJECTIVE Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). METHODS Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. RESULTS There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). CONCLUSION Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.
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Systematic review with meta-analysis: neuroimaging in hepatitis C chronic infection.
Oriolo, G, Egmond, E, Mariño, Z, Cavero, M, Navines, R, Zamarrenho, L, Solà, R, Pujol, J, Bargallo, N, Forns, X, et al
Alimentary pharmacology & therapeutics. 2018;(9):1238-1252
Abstract
BACKGROUND Chronic hepatitis C is considered a systemic disease because of extra-hepatic manifestations. Neuroimaging has been employed in hepatitis C virus-infected patients to find in vivo evidence of central nervous system alterations. AIMS Systematic review and meta-analysis of neuroimaging research in chronic hepatitis C treatment naive patients, or patients previously treated without sustained viral response, to study structural and functional brain impact of hepatitis C. METHODS Using PRISMA guidelines a database search was conducted from inception up until 1 May 2017 for peer-reviewed studies on structural or functional neuroimaging assessment of chronic hepatitis C patients without cirrhosis or encephalopathy, with control group. Meta-analyses were performed when possible. RESULTS The final sample comprised 25 studies (magnetic resonance spectroscopy [N = 12], perfusion weighted imaging [N = 1], positron emission tomography [N = 3], single-photon emission computed tomography [N = 4], functional connectivity in resting state [N = 1], diffusion tensor imaging [N = 2] and structural magnetic resonance imaging [N = 2]). The whole sample was of 509 chronic hepatitis C patients, with an average age of 41.5 years old and mild liver disease. A meta-analysis of magnetic resonance spectroscopy studies showed increased levels of choline/creatine ratio (mean difference [MD] 0.12, 95% confidence interval [CI] 0.06-0.18), creatine (MD 0.85, 95% CI 0.42-1.27) and glutamate plus glutamine (MD 1.67, 95% CI 0.39-2.96) in basal ganglia and increased levels of choline/creatine ratio in centrum semiovale white matter (MD 0.13, 95% CI 0.07-0.19) in chronic hepatitis C patients compared with healthy controls. Photon emission tomography studies meta-analyses did not find significant differences in PK11195 binding potential in cortical and subcortical regions of chronic hepatitis C patients compared with controls. Correlations were observed between various neuroimaging alterations and neurocognitive impairment, fatigue and depressive symptoms in some studies. CONCLUSIONS Patients with chronic hepatitis C exhibit cerebral metabolite alterations and structural or functional neuroimaging abnormalities, which sustain the hypothesis of hepatitis C virus involvement in brain disturbances.