PM PregaMind

EV-OMICS Laboratory

Extracellular Vesicles • Brain • Maternal Health

PM PregaMind EV-OMICS Laboratory
PM PregaMindEV-OMICS Laboratory
PM PregaMind EV-OMICS Laboratory

Research Programs

Extracellular vesicles, multi-omics biology, and translational diagnostics for brain and maternal health.

3

Funded Projects

4

Research Domains

9+

Team Members

69+

Publications

Research Philosophy

Modern medicine is entering an era where molecular biology, clinical diagnostics, and intelligent laboratory systems must converge to improve patient care. Our research focuses on understanding how extracellular vesicles carry molecular signals that reflect physiological and pathological states, particularly in brain disorders and maternal health. By integrating multi-omics biology with clinical laboratory science, the goal is to translate molecular discoveries into robust diagnostic tools.

Program Architecture

Research Program Architecture

Connecting extracellular vesicle biology, disease mechanisms, and translational diagnostics.

Layer 1

Molecular Systems

Extracellular Vesicles

Multi-Omics Biology

Proteomics

Metabolomics

miRNA Biology

Layer 2

Disease Interfaces

Brain Disorders

Schizophrenia

Depression & Suicidality

Maternal Health

Gestational Diabetes

Layer 3

Translational Outcomes

Biomarker Discovery

Clinical Diagnostics

Precision Medicine

AI-Enabled Laboratory Systems

Click a layer to highlight

Core Programs

Core Research Programs

Three interconnected research programs driving biomarker discovery and translational diagnostics.

01

Extracellular Vesicle Biology in Brain Disorders

Understanding how brain-derived extracellular vesicles carry molecular signals associated with schizophrenia and treatment response.

Brain-derived EVsSchizophreniaTreatment ResponseMulti-omics
02

Placenta-derived EV Biomarkers in Maternal Health

Investigating extracellular vesicle cargo from placental tissue to identify biomarkers for gestational diabetes.

Placental EVsGestational DiabetesProteomicsMetabolomics
03

Exosomal microRNA Biomarkers in Psychiatric Disorders

Studying circulating exosomal miRNAs associated with depression and suicidality.

Exosomal miRNADepressionSuicidalityNGS
Funded Projects

Active Research Grants

01

Identification of Biomarkers of Gestational Diabetes Mellitus from Placenta-Derived Extracellular Vesicles

A comprehensive investigation into the proteomic and lipidomic cargo of placenta-derived extracellular vesicles to identify novel biomarkers for early detection, risk stratification, and monitoring of gestational diabetes mellitus.

Grant

INR 80 Lakhs

Year

2025

Status

Ongoing

Funder

ICMR

Extracellular VesiclesGestational DiabetesPlacenta BiologyMulti-omicsBiomarker Discovery
02

Brain-Derived Extracellular Vesicles in Schizophrenia and Treatment Response

Investigating the role of brain-derived extracellular vesicles as biomarkers and mediators of neuroinflammation, synaptic dysfunction, and antipsychotic treatment response in patients with schizophrenia.

Grant

INR 63 Lakhs

Year

2024

Status

Ongoing

Funder

ICMR

NeuropsychiatryExtracellular VesiclesSchizophreniaBiomarkersTreatment Response
03

Exosomal microRNA Biomarkers in Depression and Suicidality

A study examining exosome-encapsulated microRNAs as potential diagnostic and prognostic biomarkers in major depressive disorder and suicidal behaviour, integrating molecular profiling with clinical phenotyping.

Grant

INR 36 Lakhs

Year

2022

Status

Ongoing

Funder

ICMR

DepressionSuicidalitymicroRNAExosomesMolecular Psychiatry
Knowledge Graph

Research Knowledge Network

An interactive force-directed graph connecting research diseases, funded projects, trainees, and biomarker categories across the laboratory.

Interactive Network

Research Ecosystem

This knowledge graph connects research themes, funded projects, trainees, and biomarker categories within the PM PregaMind EV-OMICS Laboratory. Hover over nodes to preview details — click to expand full descriptions. Drag nodes to rearrange.

Lab Hub
Disease
Project
Lab Member
Biomarker
Alumni

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Workflow

EV-OMICS Research Pipeline

From sample collection to clinical application — the sequential workflow that drives discovery in the PM PregaMind EV-OMICS Laboratory.

01
Step 01

Clinical Samples

Collection of biological samples including placenta, blood, and patient cohorts for molecular analysis.

02
Step 02

Extracellular Vesicle Isolation

Isolation and characterization of extracellular vesicles from biological fluids.

03
Step 03

Multi-Omics Analysis

Integrated analysis using proteomics, metabolomics, and microRNA profiling.

04
Step 04

Biomarker Discovery

Identification of molecular signatures associated with disease mechanisms and treatment response.

05
Step 05

Clinical Translation

Development of diagnostic biomarkers and translational applications in clinical laboratory medicine.

Lab Team

Meet the Team

Project research scientists, PhD scholars, MD students, MSc students, and alumni — all working together at the PM PregaMind EV-OMICS Laboratory.

View Lab Team
Open to Collaboration

Collaborate with the PM PregaMind EV-OMICS Laboratory

We welcome partnerships with clinicians, molecular biologists, data scientists, and laboratory professionals working to advance translational diagnostics and extracellular vesicle science.