Research Themes
Heavy Metals and Human Neurotoxicity
Cadmium (Cd) serves as a model environmental neurotoxicant in our lab due to its prevalence in food, water, and occupational settings. We focus on:
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- Human-relevant exposure concentrations
- Cellular uptake and subcellular distribution of metals
- Links between metal burden and functional cellular outcomes
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Unique strength: We directly quantify metal levels in cells and extracellular vesicles using ICP-MS, enabling mechanistic insights beyond nominal exposure doses.
Extracellular Vesicles as Mediators of Toxicity
Extracellular vesicles are emerging as critical regulators of cell–cell communication. Our lab investigates:
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- How toxicants alter EV biogenesis and release
- Changes in EV protein, RNA, and lipid cargo after exposure
- Whether EVs amplify or mitigate neurotoxic signaling
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We are particularly interested in ARRDC1-mediated microvesicles (ARMMs) as non-canonical EV pathways in toxicant response.
Mixture Toxicology and Real-World Exposures
Humans are exposed to chemical mixtures, not single agents. We study:
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- Heavy metal mixtures
- Interactions between traditional contaminants such as heavy metals or pesticides with emerging contaminants like PFAS and micro/nano-plastics.
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We use EVs as integrative reporters of mixture effects, providing a systems-level view of toxicity that traditional assays might miss.
CRISPR for Mechanistic Toxicology
To establish causality, we apply CRISPR/Cas9-based gene editing to:
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- Disrupt EV biogenesis pathways
- Modify metal transport and stress-response genes
- Identify susceptibility factors in neural cells and drivers for mixture toxicity
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This approach allows us to move beyond correlation toward mechanistic understanding.
EVs biomarkers in environmental health disease
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Characterize the molecular cargo of EVs in multiple human body fluids collected from populations with documented environmental exposures- Identify disease- and exposure-specific EV subpopulations with enhanced biomarker specificity
- Evaluate the utility of EV signatures for indicating neurodegenerative processes linked to environmental factors
- Assess the potential of EV-based biomarkers for early diagnosis and informing preventive or therapeutic interventions