# Interactions of Climate Change on Oceans and Human Health: Assessment of Effects on Ocean Health Related Illness and Disease and Development of Prevention Strategies to Better Protect Public Health

> **NIH NIH P01** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2020 · $1,148,594

## Abstract

PROJECT SUMMARY
The overall goal of the Center for the Assessment and Prediction of the Interactions of Climate Change on
Oceans and Human Health (CAPICCOHH or the Center) is to “Enhance our knowledge of the role climate
change may play in affecting Vibrio bacterial infections and Cyanobacterial toxin production to develop tools
that will inform the public of the associated risks and reduce hazards to risk adverse populations that may be
adversely affected”. The effects of climate change including both the individual and interactive effects of
increased temperature, altered salinity, and reduced pH (increasing acidity) on Vibrio bacteria (V. vulnificus
and V. parahaemolyticus) and Cyanobacteria will be assessed to determine if there are increased in biofilm
formation virulence and antibiotic resistance in Vibrio bacteria and increased growth, bloom dynamics and
toxin production in Cyanaobacteria that may affect human health and seafood safety in molluscan shellfish.
This will involve a combination of multi-factorial lab experiments and field studies to identify climate change-
related mechanisms that may increase the virulence and antibiotic resistance of Vibrio bacteria, V. vulnificus
and V. parahaemolyticus and bloom dynamics and toxin production of Microcyctin aeruginosa,
Cylindrospermopsis raciborkskii and Anabaena flos-aquae. Specifc focus on how salinity alternations may
affect Cyanobacterial toxins will be a major focus of these experiments. Chemical studies will focus on
determining the role of climate change in moderating microbial quorum sensing and harmful algal bloom toxin
production in cultures and natural waters and in development of comprehensive multifactorial models of
climate change driven alterations in surface water composition on the kinetics and by-products of harmful algal
bloom toxin oxidation in sunlit waters and on sediment surfaces. Also sediment cores from lake bottoms will be
analyzed for relic levels of Cyanobacterial toxins and will be dated using radio-isotope to and compared to
historical changes in climate. Toxicological investigation of novel biogeochemical transport and transformation
of these important infectious agents, Cyanobacterial toxins and microplastics, alone and in mixtures will also
be studied, along with potential exposure mechanisms and resulting toxicology in mammalian models and in
molluscan shellfish. The interactive effects of both individual and mixture exposures to highly virulent and
antibiotic resistant Vibrio bacteria, highly toxic Cyanobacterial toxins and microplastics in water and seafood
(molluscan shellfish) will be investigated for adverse effects on organs, inflammation and disease using
mammalian models to indicate effects of climate change on human health. These projects will be managed by
an Administrative Core (Director and Deputy Director) who will operate the Center on a daily basis and oversee
the collaboration and integration of the projects and a Community Engagement Core w...

## Key facts

- **NIH application ID:** 9977197
- **Project number:** 5P01ES028942-03
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Geoffrey Ivan Scott
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,148,594
- **Award type:** 5
- **Project period:** 2018-09-30 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9977197

## Citation

> US National Institutes of Health, RePORTER application 9977197, Interactions of Climate Change on Oceans and Human Health: Assessment of Effects on Ocean Health Related Illness and Disease and Development of Prevention Strategies to Better Protect Public Health (5P01ES028942-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9977197. Licensed CC0.

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