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Contact information


suman.dutta@ndcn.ox.ac.uk
sdutta.ucla@gmail.com


+44 7404314818

LinkedIn

Biography

During his early research career, Dr. Dutta worked on inflammation-induced apoptosis and received a Ph.D. from India.  Later, he moved to South Korea to work on delivering PTD-tagged therapeutic proteins to mammalian brains at Hallym University. In early 2012, Dr. Dutta shifted his focus to the field of extracellular vesicle biology and joined Mahidol University in Thailand. His work at Mahidol involved searching for CCA biomarkers in exosomes for pre-clinical diagnosis and elucidating the role of exosomal cargo in cholangiocarcinoma pathogenesis. 

In early 2016, Dr. Dutta joined the University of California Los Angeles (UCLA), where his research has primarily focused on analyzing the brain-derived blood exosomes in different neurodegenerative diseases such as Multiple System Atrophy, Parkinson's disease, and related disorders. Dr. Dutta's research is dedicated to understanding disease pathologies and helping develop new therapeutic and diagnostic tools for neurodegenerative diseases.

Suman Dutta

M.Sc., P.hD.

Visiting Scientist

Research Summary

Dr. Dutta's previous research work involved analyzing small extracellular vesicles (EVs) originating from the Central Nervous System (CNS) in neurodegenerative diseases such as Multiple System Atrophy and Parkinson's disease. The primary objective of his study was to isolate EVs from human blood that were specifically released by various brain cells, characterize the vesicles, and then identify signature biomolecules using novel assays such as ultrasensitive electro-chemiluminescent Elisa, miRNA assays, mass-spectrometry, lipidomics, SIMOA, etc.

His current research is focused on identifying biomarkers for stratifying Parkinson's disease. This study builds upon the previous research conducted by the molecular neurodegeneration group in this area and involves investigating EVs derived from iPSC-based models and patient samples. The ultimate goal of this research is to identify reliable and sensitive biomarkers that can aid in the early detection and accurate stratification of Parkinson's disease and related disorders.

Key publications

Recent publications

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