Oxidative stress predicts depressive symptom changes with omega-3 fatty acid treatment in coronary artery disease patients

AbstractBackgroundAntidepressant efficacy of omega-3 polyunsaturated fatty acid (n-3 PUFA) treatment in coronary artery disease (CAD) patients remains unpredictable. N-3 PUFA can mitigate oxidative stress, which is common in CAD and may contribute to depressive symptoms. This study investigated whether greater pre-treatment oxidative stress, measured by the ratios of late-stage lipid peroxidation markers (malondialdehyde [MDA], 4-hydroxy-2-nonenal [4-HNE], and 8-isoprostane [8-ISO]) to an early-stage marker (lipid hydroperoxides [LPH]), predicted n-3 PUFA antidepressant benefits in CAD.MethodsThis was a secondary analysis of CAROTID (CAD Randomized Omega-3 Trial in Depression, NCT00981383). Patient demographics and medical characteristics were collected. Depressive symptoms were measured using the 17-item Hamilton Depression Rating Scale (HAM-D). Patients were then randomized to receive either 1.9g/day n-3 PUFA or placebo for 12weeks, after which HAM-D scores were reassessed. Baseline LPH, 4-HNE, 8-ISO, MDA and n-3 PUFA concentrations were analysed from fasting blood.ResultsSeventy-nine patients (age=61.1±8.5, 76% male, HAM-D=7.5±6.1) were included (n=45 placebo, n=34 n-3 PUFA). In the n-3 PUFA group, higher baseline ratios of MDA/LPH (primary analysis: F1,33=6.20, beta=−0.35, p=0.018), 4-HNE/LPH (exploratory analysis: F1,33=5.35, beta=−0.32, p=0.027), and 8-ISO/LPH (exploratory analysis: F1,33=6.10, beta=−0.33, p=0.019), indicating higher oxidative stress, were associated with greater depressive symptom improvement. In each model, higher baseline EPA+DHA concentrations independently predicted depressive symptom improvement with n-3 PUFA (MDA/LPH: F1,33=11.05, p=0.002; 4-HNE/LPH: F1,33=11.36, p=0.002; 8-ISO/LPH: F1,33=13.15, p=0.001). No associations were observed in the placebo group.Conclusionsn-3 PUFA may be more likely to improve depressive symptoms in CAD patients with pre-treatment evidence of oxidative stress

The relationship between indoleamine 2,3-dioxygenase activity and post-stroke cognitive impairment

BACKGROUND: Activation of indoleamine 2,3-dioxygenase (IDO) and higher concentrations of several kynurenine metabolites have been observed post-stroke, where they have been associated with increased mortality. While lower tryptophan or a higher ratio of kynurenine/tryptophan (K/T) in peripheral blood have been associated with dementia and the severity of cognitive symptoms in Alzheimer's disease, the association between K/T ratios and post-stroke cognitive impairment (PSCI) has not been investigated. METHODS: Patients were recruited from the acute stroke unit of a general hospital within 1 month post-stroke. Assessments included the Standardized Mini-Mental State Examination (sMMSE) for cognition, the National Institutes of Health Stroke Scale (NIHSS) for stroke severity, and the Center for Epidemiological Studies-Depression Scale (CES-D) for depressive symptoms. Tryptophan and kynurenine concentrations were determined by high-performance liquid chromatography. RESULTS: A total of 41 patients with ischemic stroke ([mean ± SD] age 72.3 ± 12.2 years, 53.7% male, sMMSE 25.6 ± 4.1, NIHSS 7.27 ± 5.55) were recruited. Higher K/T ratios were associated with lower post-stroke global cognition (i.e. sMMSE scores; β = -.327, P = .037). A backward stepwise elimination linear regression (F(1,40)=6.15, P=.005, adjusted R(2)=.205) showed that the highest K/T ratio tertile (β = -.412, P = .006) predicted lower sMMSE scores, controlling for age (β = -.253, p = .081), with NIHSS (β = -.027, P = 0.859), and lesion volume (β = -.066, P = 0.659) removed from the model. In receiver operating characteristic analysis, a K/T ratio of 78.3 μmol/mmol (top tertile) predicted significant cognitive impairment (sMMSE score ≤ 24) with 67% sensitivity and 86% specificity (area under the curve = 0.730, p = .022). CONCLUSIONS: These data suggest an inflammatory response characterized by IDO activation may be relevant to the development of PSCI. Since the neuroactivity of kynurenine metabolites may be amenable to pharmacotherapeutic intervention, the K/T ratio may be a clinically important biomarker

State, trait, and accumulated features of the Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) in mild Alzheimer's disease

Background The Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) is used to assess decline in memory, language, and praxis in Alzheimer's disease (AD). Methods A latent state–trait model with autoregressive effects was used to determine how much of the ADAS-Cog item measurement was reliable, and of that, how much of the information was occasion specific (state) versus consistent (trait or accumulated from one visit to the next). Results Participants with mild AD (n = 341) were assessed four times over 24 months. Praxis items were generally unreliable as were some memory items. Language items were generally the most reliable, and this increased over time. Only two ADAS-Cog items showed reliability >0.70 at all four assessments, word recall (memory) and naming (language). Of the reliable information, language items exhibited greater consistency (63.4% to 88.2%) than occasion specificity, and of the consistent information, language items tended to reflect effects of AD progression that accumulated from one visit to the next (35.5% to 45.3%). In contrast, reliable information from praxis items tended to come from trait information. The reliable information in the memory items reflected more consistent than occasion-specific information, but they varied between items in the relative amounts of trait versus accumulated effects. Conclusions Although the ADAS-Cog was designed to track cognitive decline, most items were unreliable, and each item captured different amounts of information related to occasion-specific, trait, and accumulated effects of AD over time. These latent properties complicate the interpretation of trends seen in ordinary statistical analyses of trials and other clinical studies with repeated ADAS-Cog item measures

Depression rating scales for detection of major depression in people with dementia

This is the protocol for a review and there is no abstract. The objectives are as follows: To identify the accuracy of depression rating scales as screening tools for detecting DpD and compare the diagnostic accuracy of different depression rating scales for detecting MDD among adults with Alzheimer's disease and related forms of dementia. To examine factors that may impact on the accuracy of depression rating scales that are used to diagnose depression. We will examine the reference standard used for verification of DpD, baseline prevalence of DpD in the study population, age of the underlying study population, gender of participants, type of dementia (any-cause dementia versus Alzheimer’s disease), study setting (community or primary care setting, long-term care, tertiary care setting), and study country as potential sources of heterogeneity. We will also evaluate the effects of using different cut-points of individual depression rating scales on the diagnostic accuracy of the scales

Evidence-Based Umbrella Review of 162 Peripheral Biomarkers for Major Mental Disorders

The literature on non-genetic peripheral biomarkers for major mental disorders is broad, with conflicting results. An umbrella review of meta-analyses of non-genetic peripheral biomarkers for Alzheimer’s disease, autism spectrum disorder, bipolar disorder (BD), major depressive disorder, and schizophrenia, including first-episode psychosis. We included meta-analyses that compared alterations in peripheral biomarkers between participants with mental disorders to controls (i.e., between-group meta-analyses) and that assessed biomarkers after treatment (i.e., within-group meta-analyses). Evidence for association was hierarchically graded using a priori defined criteria against several biases. The Assessment of Multiple Systematic Reviews (AMSTAR) instrument was used to investigate study quality. 1161 references were screened. 110 met inclusion criteria, relating to 359 meta-analytic estimates and 733,316 measurements, on 162 different biomarkers. Only two estimates met a priori defined criteria for convincing evidence (elevated awakening cortisol levels in euthymic BD participants relative to controls and decreased pyridoxal levels in participants with schizophrenia relative to controls). Of 42 estimates which met criteria for highly suggestive evidence only five biomarker aberrations occurred in more than one disorder. Only 15 meta-analyses had a power >0.8 to detect a small effect size, and most (81.9%) meta-analyses had high heterogeneity. Although some associations met criteria for either convincing or highly suggestive evidence, overall the vast literature of peripheral biomarkers for major mental disorders is affected by bias and is underpowered. No convincing evidence supported the existence of a trans-diagnostic biomarker. Adequately powered and methodologically sound future large collaborative studies are warranted