Cross-sectional relationship between kynurenine pathway metabolites and cognitive function in major depressive disorder

2019 ◽  
Vol 101 ◽  
pp. 72-79 ◽  
Author(s):  
Yanling Zhou ◽  
Wei Zheng ◽  
Weijian Liu ◽  
Chengyu Wang ◽  
Yanni Zhan ◽  
...  
QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mostafa S ElShaarawi ◽  
Ayman A Gaafar ◽  
Hisham S. Saad Eldin ◽  
Randa H Ali

Abstract Background Major depressive disorder (MDD) is a common psychiatric disorder that affects nearly 11.1-14.6 % of the population in their lifetime. Pathophysiology and brain imaging findings show that degenerative and inflammatory processes may play a role. Meta-analysis of voxel-based morphometry studies in MDD demonstrated significant gray matter loss. From anatomical and embryological perspectives, the retina can be considered a unique extension of the brain and is able to reflect axonal histopathology. Being unmyelinated, it can provide insight into the pathophysiological processes of diseases with a neurodegenerative element. Aim to compare retinal optical coherence tomography (OCT) parameters in a group of MDD patients with a healthy control group and to correlate OCT parameters with pattern electroretinography (PERG) parameters. Method a controlled cross sectional study was conducted on 30 MDD patients and 28 age and sex matched controls. Both groups had a full ophthalmological examination, OCT imaging and 7 patients and 11 controls have PERG recorded. Results Thinning of the superior retinal nerve fiber layer, thinning of most of the ganglion cell inner plexiform (GCIP) layer, thinning of most of the macular thickness and thinning of macular volume in both eyes were detected. There was a statistically significant positive correlation between the left GCIP layer and the amplitude of the N95 wave. Also a statistically significant negative correlation existed between MDD duration in years with the left eye's average volume of the outer ring of the macula. Conclusion Significant retinal changes were detected by OCT in MDD patients supporting the theory of neurodegeneration as a pathophysiology of MDD.


2018 ◽  
Author(s):  
Francesca Cormack ◽  
Maggie McCue ◽  
Nick Taptiklis ◽  
Caroline Skirrow ◽  
Emilie Glazer ◽  
...  

BACKGROUND Cognitive symptoms are common in major depressive disorder, and may help to identify patients that need treatment or who are not experiencing adequate treatment response. Digital tools to provide real time data assessing cognitive function could help to support patients treatment and remediation of cognitive and mood symptoms. OBJECTIVE This study examined adherence, feasibility, and validity of a wearable high-frequency cognitive and mood assessment app over 6 weeks, corresponding to when antidepressant pharmacotherapy begins to show efficacy. METHODS Thirty patients (aged 19−63; 19 women) with mild-moderate depression participated. The new Cognition Kit application was delivered via the Apple Watch, providing a high-resolution touch screen display for task presentation and logging responses. Cognition was assessed by the n-back task up to 3 times daily and depressed mood by 3 short questions once daily. Selected tests sensitive to depression from the Cambridge Neuropsychological Test Automated Battery and validated questionnaires of depression symptom severity were administered on 4 occasions (baseline, weeks 1, 3, and 6). Adherence was defined as participants completing at least one assessment daily. RESULTS Adherence was excellent for mood and cognitive assessments (95% and 96%, respectively), did not deteriorate over time, and was not influenced by depression symptom severity or cognitive function at study onset. Daily mood assessments showed good correspondence with validated depression questionnaires (correlations range from .45 to .69 for total daily mood score) and daily cognitive assessments showed good correspondence with cognitive tests sensitive to depression (correlations ranged from .37 to .50 for mean n-back). CONCLUSIONS The study supports the feasibility and validity of high-frequency assessment of cognitive function and mood function using wearable devices over an extended period in patients with major depressive disorder. CLINICALTRIAL clinicaltrials.gov NCT03067506


2021 ◽  
Vol 30 ◽  
Author(s):  
Annelieke M. Roest ◽  
Ymkje Anna de Vries ◽  
Ali Al-Hamzawi ◽  
Jordi Alonso ◽  
Olatunde O. Ayinde ◽  
...  

Abstract Aims Major depressive disorder (MDD) is characterised by a recurrent course and high comorbidity rates. A lifespan perspective may therefore provide important information regarding health outcomes. The aim of the present study is to examine mental disorders that preceded 12-month MDD diagnosis and the impact of these disorders on depression outcomes. Methods Data came from 29 cross-sectional community epidemiological surveys of adults in 27 countries (n = 80 190). The Composite International Diagnostic Interview (CIDI) was used to assess 12-month MDD and lifetime DSM-IV disorders with onset prior to the respondent's age at interview. Disorders were grouped into depressive distress disorders, non-depressive distress disorders, fear disorders and externalising disorders. Depression outcomes included 12-month suicidality, days out of role and impairment in role functioning. Results Among respondents with 12-month MDD, 94.9% (s.e. = 0.4) had at least one prior disorder (including previous MDD), and 64.6% (s.e. = 0.9) had at least one prior, non-MDD disorder. Previous non-depressive distress, fear and externalising disorders, but not depressive distress disorders, predicted higher impairment (OR = 1.4–1.6) and suicidality (OR = 1.5–2.5), after adjustment for sociodemographic variables. Further adjustment for MDD characteristics weakened, but did not eliminate, these associations. Associations were largely driven by current comorbidities, but both remitted and current externalising disorders predicted suicidality among respondents with 12-month MDD. Conclusions These results illustrate the importance of careful psychiatric history taking regarding current anxiety disorders and lifetime externalising disorders in individuals with MDD.


2014 ◽  
Vol 40 (2) ◽  
pp. 463-471 ◽  
Author(s):  
Jonathan Savitz ◽  
Wayne C Drevets ◽  
Chelsey M Smith ◽  
Teresa A Victor ◽  
Brent E Wurfel ◽  
...  

Cephalalgia ◽  
2019 ◽  
Vol 40 (4) ◽  
pp. 347-356 ◽  
Author(s):  
Claudia Pisanu ◽  
Emma Lundin ◽  
Martin Preisig ◽  
Mehdi Gholam-Rezaee ◽  
Enrique Castelao ◽  
...  

Objective Migraine and major depressive disorder show a high rate of comorbidity, but little is known about the associations between the subtypes of major depressive disorder and migraine. In this cross-sectional study we aimed at investigating a) the lifetime associations between the atypical, melancholic, combined and unspecified subtype of major depressive disorder and migraine with and without aura and b) the associations between major depressive disorder and its subtypes and the severity of migraine. Methods A total of 446 subjects with migraine (migraine without aura: n = 294; migraine with aura: n = 152) and 2511 controls from the population-based CoLaus/PsyCoLaus study, Switzerland, were included. Associations between major depressive disorder subtypes and migraine characteristics were tested using binary logistic or linear regression. Results Melancholic, combined and unspecified major depressive disorder were associated with increased frequency of migraine with aura, whereas only melancholic major depressive disorder was associated with increased frequency of migraine without aura. Lifetime and unspecified major depressive disorder were associated with severe migraine intensity among subjects with migraine with aura but not migraine without aura, while combined major depressive disorder was associated with higher migraine frequency independently from migraine subtype. Conclusion This study suggests that melancholic but not atypical major depressive disorder is associated with migraine and migraine subtypes. Future studies exploring pathophysiological mechanisms shared between melancholic depression and migraine are warranted.


Sign in / Sign up

Export Citation Format

Share Document