This research delves into the immunological dimensions of Generalized Anxiety Disorder (GAD) by examining the association between two key inflammatory markers—Interleukin-12 (IL-12) and C-reactive protein (CRP)—within the Bangladeshi population.
Through the collection and analysis of blood samples from GAD patients and healthy controls, the study employed ELISA (Enzyme-Linked Immunosorbent Assay) to measure serum levels of IL-12 and CRP. The findings aim to clarify whether these biomarkers can be used to support clinical diagnosis and deepen the understanding of GAD’s biological basis.
Initial results suggest that elevated IL-12, but not CRP, may be significantly linked to the pathophysiology of GAD—highlighting the role of pro-inflammatory cytokines in the disorder’s development. This research represents a step forward in biomarker discovery for psychiatric disorders, with a specific focus on localized population data.
Clinical Biomarker Detection using ELISA
Data Interpretation and Statistical Analysis with IBM SPSS Statistics
Research Documentation and Scientific Writing
📘 Manual of ELISA Kit: Project Guideline Manual
📚Publication (Under Review): Manuscript submitted and currently under peer review in BioMed Research International.
This study explores the inflammatory and molecular underpinnings of Generalized Anxiety Disorder (GAD) by investigating two key biomarkers: L-selectin and PCSK9. Conducted on a cohort of clinically diagnosed GAD patients and matched healthy controls from Bangladesh, this case-control study utilized the Enzyme-Linked Immunosorbent Assay (ELISA) technique to quantify serum levels of these biomarkers.
Our findings indicate a notable reduction in serum soluble L-selectin levels among GAD patients, suggesting its potential involvement in the neuroinflammatory processes linked to anxiety disorders. In contrast, PCSK9 levels showed no significant difference, highlighting the selective relevance of immune-related pathways in GAD pathophysiology.
This pioneering work contributes to the emerging field of biomarker-based mental health diagnostics, particularly within South Asian populations, and may serve as a foundation for future therapeutic or diagnostic innovations.
Clinical Blood Sample Collection
ELISA for Biomarker Quantification
Statistical Analysis with GraphPad Prism & IBM SPSS Statistics
Biomedical Data Interpretation
Scientific Communication & Research Writing
📘 Manual of ELISA Kit: Project Guideline Manual
📚Publication (Under Review): Manuscript published in the Journal of Clinical Laboratory Analysis.