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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Bibliographic Details
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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