Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case–control study

2021 ◽  
Vol 186 (2) ◽  
pp. 101-112
Author(s):  
Bill Qi ◽  
Janani Ramamurthy ◽  
Imane Bennani ◽  
Yannis J. Trakadis
Keyword(s):  
Machine Learning ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Case Control Study ◽  
Bioinformatic Analysis ◽  
Case Control ◽  
Major Depressive ◽  
Control Study

scholarly journals Temperament and character traits in major depressive disorder: a case control study

2017 ◽  
Vol 135 (5) ◽  
pp. 469-474 ◽  
Author(s):  
Barbara Schwair Nogueira ◽  
Renerio Fraguas Júnior ◽  
Isabela Martins Benseñor ◽  
Paulo Andrade Lotufo ◽  
Andre Russowsky Brunoni
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Case Control Study ◽  
Case Control ◽  
Character Traits ◽  
Major Depressive ◽  
Control Study

Pain perception in major depressive disorder: A neurophysiological case–control study

2015 ◽  
Vol 357 (1-2) ◽  
pp. 19-21 ◽  
Author(s):  
Sandro Zambito Marsala ◽  
Michele Pistacchi ◽  
Pierluigi Tocco ◽  
Manuela Gioulis ◽  
Federico Fabris ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Pain Perception ◽  
Case Control Study ◽  
Case Control ◽  
Major Depressive ◽  
Control Study

scholarly journals Association of circulating let-7b-5p with major depressive disorder: a nested case-control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanne Roumans ◽  
Kristina Sundquist ◽  
Ashfaque A. Memon ◽  
Anna Hedelius ◽  
Jan Sundquist ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Case Control Study ◽  
Case Control ◽  
Major Depressive ◽  
Expression Levels ◽  
Nested Case Control ◽  
Underlying Pathophysiology ◽  
Control Study

Abstract Background Major depressive disorder (MDD) is one of the most common psychiatric disorders and is a great disease burden. However, its underlying pathophysiology and aetiology remain poorly understood. Available evidence suggests that circulating microRNAs (miRNAs) are associated with MDD, but it is still unknown whether miRNAs can predict subsequent incident MDD. Methods In this nested case-control study, a total of 104 individuals, who were free of MDD at baseline, from the Women’s Health in Lund Area (WHILA) cohort were included. Among them, 52 individuals developed MDD (cases) during the 5 years follow-up and 52 individuals did not develop MDD (controls). Plasma expression levels of miR-17-5p, miR-134-5p, miR-144-5p, let-7b-5p and let-7c-5p at baseline were assessed using qRT-PCR. Logistic regression was used to estimate the odds of developing MDD among individuals with different levels of miRNA expression. Results Plasma expression levels of let-7b-5p were significantly lower (p = 0.02) at baseline in cases compared to controls. After adjustment for age and BMI, let-7b-5p was negatively associated with odds for developing MDD (OR = 0.33, p = 0.03, 95% CI = 0.12–0.91). Moreover, let-7b-5p expression levels showed a trend over time with larger differences between cases and controls for the earlier cases (MDD diagnosis <2 years from baseline) than MDD cases developed later (MDD diagnosis 2–5 years from baseline). Conclusions These findings show that lower plasma levels of let-7b-5p are associated with a higher future risk of MDD. Results need to be validated in a large cohort to examine its potential as a peripheral biomarker for MDD.

scholarly journals The Assessment of Cognitive Dysfunction in Major Depressive Disorder: A 16-Week Prospective Case-Control Study

2021 ◽  
Vol 31 (1) ◽  
pp. 25-33
Author(s):  
Fikret Poyraz Cokmus ◽  
◽  
Huseyin Murat Ozkan ◽  
Didem Suculluoglu Dikici ◽  
Kadir Ascibasi ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cognitive Dysfunction ◽  
Case Control Study ◽  
Case Control ◽  
Major Depressive ◽  
Control Study ◽  
Prospective Case Control Study
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