A Review and Conceptual Model of Dopaminergic Contributions to Poststroke Depression

Depressive symptoms due to stroke are strongly predicted by the volume and location of the cerebral infarction, white matter hyperintensities, hypertension, and age: A precision nomothetic psychiatry analysis

OBJECTIVES

To delineate the effects of white matter hyperintensities (WMHs) as measured by Fluid-attenuated inversion recovery (FLAIR) and infarction volume as measured by Diffusion-weighted imaging (DWI) on post-stroke depression symptoms.

METHODS

Baseline National Institutes of Health Stroke Score (NIHSS) and Modified Rankin Scale (mRS) scores, and FLAIR and DWI MRIs to assess WMHs and acute infarct volumes, respectively, were assessed in 47 patients (≥55 years) with acute ischemic stroke and 17 normal controls. The Montgomery-Åsberg Depression Rating Scale (MDRS) was assessed three months after the stroke.

RESULTS

The MADRS score was significantly increased in stroke patients as compared with normal controls. The MADRS scale is not unidimensional and cannot be used as an accurate indicator of depression severity in stroke patients. Three months after stroke, key depressive (sadness and inability to feel) and concentration-tension symptoms, and lassitude are significantly predicted by the infarct volume. Right side infarction strongly predicts key depressive symptoms and left side infarction strongly predicts concentration-tension and lassitude scores. Total WMHs significantly predict key depressive and concentration-tension symptoms, and lassitude, with these effects being mediated by right and left DWI stroke volumes and associated disabilities.

CONCLUSIONS

Interactions between age, hypertension, a chronic atherosclerotic process, and acute stroke account for the onset of key depressive symptoms three months after the acute infarct. Chronic and acute neuro-immune and neuro-oxidative stress pathways associated with the formation of WMHs and acute stroke may explain the incidence of post-stroke key depressive and concentration-tension symptoms, and lassitude.

Enhancing Research Through the Use of the Genotype-Tissue Expression (GTEx) Database

Despite a growing interest in multi-omic research, individual investigators may struggle to collect large-scale omic data, particularly from human subjects. Publicly available datasets can help to address this problem, including those sponsored by the NIH Common Fund, such as the Genotype-Tissue Expression (GTEx) database. This database contains genotype and expression data obtained from 54 non-diseased tissues in human subjects. But these data are often underutilized, because users may find the browsing tools to be counterintuitive or have difficulty navigating the procedures to request controlled data access. Furthermore, there is limited knowledge of these resources among nurse scientists interested in incorporating such information into their programs of research. This article outlines the procedures for using the GTEx database. Next, we provide one exemplar of using this resource to enhance existing research by investigating expression of dopamine receptor type 2 (DRD2) across brain tissues in human subjects.

Investigation of the emotional network in depression after stroke: A study of multivariate Granger causality analysis of fMRI data

OBJECTIVE

Depression after stroke (DAS) is a serious complication of stroke that significantly restricts rehabilitation. Brain imaging technology is an important method for studying the emotional network of DAS. However, few studies have focused on dynamic interactions within the network. The aim of this study was to investigate the emotional network of frontal lobe DAS using the multivariate Granger causality analysis (GCA) method, a technique that can estimate the association among the brain areas to analyze functional magnetic resonance imaging (fMRI) data collected from DAS and no depression after stroke (NDAS).

METHOD

Thirty-six first-time ischemic right frontal lobe stroke patients underwent resting-state fMRI (rs-fMRI) scans. The clinical assessment scale used for screening subjects was as follows: the 24-item Hamilton Rating Scale for Depression (HAMD-24), the National Institutes of Health Stroke Scale (NIHSS), the Mini-Mental State Examination (MMSE), and the Barthel Index (BI). The multivariate GCA method was used to analyze fMRI data collected from DAS and NDAS.

RESULTS

The results showed positive regulations in the order from the ventromedial prefrontal cortex (VMPFC), the anterior cingulate cortex (ACC), and the amygdala (AMYG) to the thalamus, and when the interaction order is opposite, the moderating effect is negative. The thalamus could predict the negative activity of the insular (IC) via the ACC. The dorsolateral prefrontal cortex (DLPFC) could predict the activity of the ACC via the temporal pole (TP).

CONCLUSION

This study found a VMPFC-ACC-AMYG-thalamus emotional circuit to explain the network between different brain regions associated with DAS. The DLPFC and TP play an important role in the emotional regulation of DAS, and the function of the IC is regulated negatively by the thalamus. These findings advance the neural theory of DAS, which is based on the functional relationship between different brain areas.

The Intersection of Central Dopamine System and Stroke: Potential Avenues Aiming at Enhancement of Motor Recovery

Dopamine, a major neurotransmitter, plays a role in a wide range of brain sensorimotor functions. Parkinson's disease and schizophrenia are two major human neuropsychiatric disorders typically associated with dysfunctional dopamine activity levels, which can be alleviated through the druggability of the dopaminergic systems. Meanwhile, several studies suggest that optimal brain dopamine activity levels are also significantly impacted in other serious neurological conditions, notably stroke, but this has yet to be fully appreciated at both basic and clinical research levels. This is of utmost importance as there is a need for better treatments to improve recovery from stroke. Here, we discuss the state of knowledge regarding the modulation of dopaminergic systems following stroke, and the use of dopamine boosting therapies in animal stroke models to improve stroke recovery. Indeed, studies in animals and humans show stroke leads to changes in dopamine functioning. Moreover, evidence from animal stroke models suggests stimulation of dopamine receptors may be a promising therapeutic approach for enhancing motor recovery from stroke. With respect to the latter, we discuss the evidence for several possible receptor-linked mechanisms by which improved motor recovery may be mediated. One avenue of particular promise is the subtype-selective stimulation of dopamine receptors in conjunction with physical therapy. However, results from clinical trials so far have been more mixed due to a number of potential reasons including, targeting of the wrong patient populations and use of drugs which modulate a wide array of receptors. Notwithstanding these issues, it is hoped that future research endeavors will assist in the development of more refined dopaminergic therapeutic approaches to enhance stroke recovery.

Elevated plasma macrophage migration inhibitor factor as a risk factor for the development of post-stroke depression in ischemic stroke

BACKGROUND

Macrophage migration inhibitory factor (MIF), a central cytokine of the innate immunity and inflammatory responses, has been reported to link to the pathophysiology of cardiovascular disease and depression. The aim of this study was to test the possible association between plasma MIF and the development of post-stroke depression (PSD) in Chinese patients with acute ischemic stroke (AIS).

METHODS

The first-ever AIS patients who were hospitalized at Affiliated Hospital of Weifang Medical College during the period from November 2015 to September 2017 were included. Neurological and neuropsychological evaluations were conducted at the 3-month follow-up. Plasma concentrations of MIF were tested by Quantikine Human MIF Immunoassay. Plasma levels of homocysteine (HCY), C-reactive protein (CRP) and Interleukin 6 (IL-6) were also tested. Results were expressed as percentages for categorical variables and as medians (Interquartile range-IQR) for the continuous variables.

RESULTS

Finally, 333 stroke patients were included, and 95 out of those patients (28.5%) were classified as major depression. In the patients with major depression, plasma levels of MIF were higher compared with those in patients free-depression [27.3(IQR, 23.5-34.9) ng/ml vs. 20.9(IQR, 17.0-24.8) ng/ml; Z = 8.369, P < 0.001]. For each 1unit increase of MIF, the unadjusted and adjusted risk of PSD increased by 18% (odds ratios [OR]: 1.18; 95% confidence interval [CI], 1.13-1.23, P < 0.001) and 11% (1.11; 1.02-1.16, P = 0.001), respectively. In a multivariate model using the elevated levels of MIF (≥median) vs. normal (<median) together with the other significant clinical variables, the marker displayed prognostic information (PSD: OR for fourth quartile, 3.05 [95% CI, 1.65-6.11; P < 0.001]). When MIF was added to the model containing established significant risk factors, Area Under the Receiver Operating Characteristic curve (AUROC; standard error) was increased from 0.81(0.025) to 0.86(0.019). A significant difference in the AUROC between the established risk factors alone and the addition of MIF was observed (difference, 0.05[0.006]; P = 0.004).

CONCLUSION

The present study demonstrated that elevated plasma levels of MIF at admission were associated with increased risk of PSD in the next three months and might be useful in identifying stroke at risk for PSD for early prevention strategies.

A pilot study on the impact of dopamine, serotonin, and brain-derived neurotrophic factor genotype on long-term functional outcomes after subarachnoid hemorrhage

OBJECTIVES

Many that survive an aneurysmal subarachnoid hemorrhage experience lasting physical disability, which might be improved by medications with effects on the dopaminergic, serotonergic, and brain-derived neurotrophic factor neurotransmitter systems. But it is not clear which patients are most likely to benefit from these therapies. The purpose of this pilot study was to explore the relationship of genetic polymorphisms in these pathways with 12-month functional outcomes after aneurysmal subarachnoid hemorrhage.

METHODS

Subjects were recruited at the time of admission as a part of a larger parent study. Genotypes were generated using the Affymetrix genome-wide human single-nucleotide polymorphism array 6.0. Those within dopaminergic, serotonergic, and brain-derived neurotrophic factor pathways were analyzed for associations with functional outcomes at 12 months post aneurysmal subarachnoid hemorrhage using the Glasgow Outcome Scale and the Modified Rankin Scale.

RESULTS

The 154 subjects were 55.8 ± 11.3 years old and 74% female; they had Fisher scores of 2.95 ± 0.67, Hunt/Hess scores of 2.66 ± 1.13, and admission Glasgow Coma Scale scores of 12.52 ± 3.79. Single-nucleotide polymorphisms in the serotonin receptor genes 1B and 1E and dopamine receptor D2 were associated with greater disability (odds ratio: 3.88-3.25, confidence interval: 1.01-14.77), while single-nucleotide polymorphisms in the serotonin receptor genes 2A and 2C and dopamine receptor D5 conferred a risk of poor recovery (odds ratio: 3.31-2.32, confidence interval: 1.00-10.80). Single-nucleotide polymorphisms within the same serotonin genes, and within the dopamine receptor gene D2, were associated with greater recovery after aneurysmal subarachnoid hemorrhage (odds ratio: 0.17-0.34, confidence interval: 0.05-0.89).

CONCLUSIONS

These data demonstrate that there may be an association between genetic factors and functional outcomes post stroke.

Factors that influence the severity of post-stroke depression

AIM

The aim of this paper was to investigate whether the extent of neurological impairment, the location of ischemic lesions due to stroke are associated with the severity of post-stroke depression.

MATERIALS AND METHODS

The study included 82 patients, who were diagnosed with acute ischemic stroke and post-stroke depression and were admitted to the Neurology Clinic of Cluj-Napoca County Emergency Hospital between 2009 and 2011. A head MRI was performed with a 1.5 Tesla. Psychometric assessment was performed by using several scales, including the Beck Depression Inventory and the Mini-Mental State Examination. The National Institutes of Health Stroke Scale (NIHSS) and the Barthel Index of Activities of Daily Living were used to produce a complete neurological assessment.

RESULTS

Patients with severe depression had a lower score on the Quality of Life Scale (QOLS) and higher scores for the Barthel index, NIHSS and MMSE. A stroke located in the basal nuclei increased the probability of severe depression. The patients with fewer lesions (1-2) had a greater chance of developing mild or moderate depression compared to the patients with 3-4 lesions. A frontal localization of the stroke was almost twice as common in patients with severe depression. If the stroke affected the left hemisphere, there was a higher probability of severe depression. In multivariate analysis, a basal nuclei lesion, a left hemisphere stroke location, and an NIHSS score >11 were all independently associated with severe depression.

CONCLUSION

The location of the stroke and the NIHSS score could be related to the severity of post-stroke depression. Abbreviations: NIHSS = The National Institutes of Health Stroke Scale; QQL = Quality of life Scale; BDI = Beck Depression Inventory; MMSE = Mini-Mental State Examination; PSD = Post-stroke depression; MRI = Magnetic resonance imaging.