Inflammatory biomarkers as predictors for unlocking antidepressant efficacy: Assessing predictive value and risk stratification in major depressive disorder in a prospective longitudinal study

Inflammatory biomarkers as predictors for unlocking antidepressant efficacy: Assessing predictive value and risk stratification in major depressive disorder in a prospective longitudinal study

<h3>Background</h3><p dir="ltr">Major depressive disorder (MDD) is characterized by significant heterogeneity in treatment response, with inflammation hypothesized to play a role in its pathophysiology. Peripheral inflammatory biomarkers, such as the neutrophil-to-lymphoc...

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Main Author:	Nervana Elbakary (21480140) (author)
Other Authors:	Noriya Al-Khuzaei (12506777) (author), Tarteel Hussain (21480143) (author), Ahmed Karawia (18102712) (author), Malek Smida (21480146) (author), Niveen Abu-Rahma (21480149) (author), Fairooz Akel (21480152) (author), Soad Esmail Mahmoud (21480155) (author), James Currie (16079431) (author), Mohamed Adil Shah Khoodoruth (14589828) (author), Sami Ouanes (9617363) (author)
Published:	2025
Subjects:	Biomedical and clinical sciences Cardiovascular medicine and haematology Immunology Neurosciences Health sciences Health services and systems Neutrophiles Lymphocytes C-reactive protein Cytokines Platelets Precision psychiatry Machine learning Zung rating scale Depression
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