[HTML][HTML] Efficacy and safety of selective serotonin reuptake inhibitors in COVID-19 management: a systematic review and meta-analysis

J Deng, D Rayner, HB Ramaraju, U Abbas… - Clinical Microbiology …, 2023 - Elsevier
Background The efficacy of selective serotonin reuptake inhibitors (SSRIs) in the treatment
of acute COVID-19 is still under investigation, with conflicting results reported from …

Disrupting the mood and obesity cycle: the potential role of metformin

SN Doan, SK Patel, B Xie, RA Nelson, LD Yee - Obesities, 2023 - mdpi.com
Mounting evidence links obesity, metabolic dysfunction, mood, and cognition. Compromised
metabolic health and psychological functioning worsen clinical outcomes, diminish quality of …

Ketamine vs electroconvulsive therapy for treatment-resistant depression: a secondary analysis of a randomized clinical trial

MK Jha, ST Wilkinson, K Krishnan, KA Collins… - JAMA network …, 2024 - jamanetwork.com
Importance The ELEKT-D: Electroconvulsive Therapy (ECT) vs Ketamine in Patients With
Treatment Resistant Depression (TRD)(ELEKT-D) trial demonstrated noninferiority of …

Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

K Perlman, J Mehltretter, D Benrimoh… - Translational …, 2024 - nature.com
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment
selection still proceeds via “trial and error”. Given the varied presentation of MDD and …

[HTML][HTML] Body mass index and clinical outcomes in individuals with major depressive disorder: Findings from the GSRD European Multicenter Database

C Kraus, A Kautzky, V Watzal, A Gramser… - Journal of affective …, 2023 - Elsevier
Background Individuals with major depressive disorder (MDD) are at higher risk for obesity.
In turn, weight gain is a predisposing factor for depression. Although clinical data are sparse …

[HTML][HTML] Running therapy or antidepressants as treatments for immunometabolic depression in patients with depressive and anxiety disorders: A secondary analysis of …

SR Vreijling, BWJH Penninx, JE Verhoeven… - Brain, Behavior, and …, 2025 - Elsevier
Background Exercise promotes immunometabolic health and is increasingly recognized as
an effective depression treatment. Exercise may be beneficial for patients with …

Body mass index and inflammation in depression and treatment-resistant depression: a Mendelian randomisation study

V Karageorgiou, F Casanova, J O'Loughlin, H Green… - BMC medicine, 2023 - Springer
Background Major depressive disorder (MDD) has a significant impact on global burden of
disease. Complications in clinical management can occur when response to …

DFO treatment protects against depression-like behaviors and cognitive impairment in CUMS mice

W Zhang, M Yu, Q Zhang, Z Yang, T Zhang - Brain Research Bulletin, 2022 - Elsevier
Depression has several negative effects on emotion as well as learning and memory
abilities. Previous studies showed that depression could exacerbate inflammation, which in …

Features of immunometabolic depression as predictors of antidepressant treatment outcomes: pooled analysis of four clinical trials

SR Vreijling, CRC Fatt, LM Williams… - The British Journal of …, 2024 - cambridge.org
BackgroundProfiling patients on a proposed 'immunometabolic depression'(IMD) dimension,
described as a cluster of atypical depressive symptoms related to energy regulation and …

[HTML][HTML] Individual prediction of remission based on clinical features following electroconvulsive therapy: a machine learning approach

K Nakajima, A Takamiya, T Uchida… - The Journal of …, 2022 - legacy.psychiatrist.com
Objective: Previous prediction models for electroconvulsive therapy (ECT) responses have
predominantly been based on neuroimaging data, which has precluded widespread …