Understanding the microbiome-gut-brain axis in Alzheimer's disease and its role in cognitive decline
R01 1RF1AG067483-01
Role
Co-Investigator
Supporting Agency
National Institutes of Health (NIH)
Performance Period
09/15/2020 - 05/31/2024
Funding
$3,281,382.00 Total Costs
Effort
18%, 1.5 calendar months
Project Goals/Aims
This work takes a critical step forward to bridge microbiome associations with AD to causality by showing how the AD elder's microbiome dysbiosis observed can adversely affect intestinal epithelial homeostasis leading to systemic inflammation, inflammation-causing immunosenescence, and ultimately cognitive dysfunction. It will also describe the microbial metabolic product differences and how these metabolites influence microglial functioning.
Mathematical modeling and synthetic biology to discover new ESBL-PE eradicating microbiome-based therapeutics PR191759
Role
Principal Investigator
Supporting Agency
Department of Defense (DoD)
Performance Period
08/01/2020 - 07/31/2023
Funding
$1,427,912.00 Total Costs
Effort
15%, 1.8 calendar months
Project Goals/Aims
We will leverage systems and synthetic biology approaches for microbiome engineering to develop novel live bacterial therapeutics that decolonize ESBL-producing Escherichia coli from the gastrointestinal tracts. We will also evaluate effect of these live bacterial therapeutics on resident microbiome and immunity.
Machine learning of immune-modulating microbial communities
Role
Principal Investigator
Supporting Agency
Vedanta Biosciences Inc.
Performance Period
09/15/2019–03/14/2021
Funding
$283,896 Total Costs
Effort
15%, 1.8 calendar months
Project Goals/Aims
Application of machine learning and statistical inference methods to host-microbiome data to identify and optimize microbial consortia with potent anti-inflammatory properties
Viral micro-epidemics and evolutionary dynamics in bacterial biofilms NSF 1817342
Role
Co-Investigator
Supporting Agency
National Science Foundation/Dartmouth College
Performance Period
09/01/2018 – 08/31/2021
Funding
$147,000 Total Costs
Effort
10%, 1.2 calendar months
Project Goals/Aims
Development of mathematical models and microfluidics experiments to investigate ecological and evolutionary dynamics of bacteriophages and bacteria in spatially structured biofilms
Bayesian machine learning tools for analyzing microbiome dynamics R01 1R01GM130777-01
Role
Co-Investigator
Supporting Agency
NIH-NGMS / Brigham and Women’s Hospital
Performance Period
09/01/2018 – 08/31/2023
Funding
$352,296 Total Costs (to Bucci)
Effort
12%, 1.44 calendar months
Project Goals/Aims
Development of machine learning methods and software to analyze longitudinal microbiome data properties
Previous Funding
Machine learning of immune-modulating microbial communities
Role
Principal Investigator
Supporting Agency
Vedanta Biosciences Inc.
Performance Period
02/01/2018 - 08/31/2019
Funding
$112,000 Total Costs
Effort
10%, 1.2 calendar months
Project Goals/Aims
Application of machine learning and statistical inference methods to host microbiome data to identify and optimize microbial consortia with potent anti-inflammatory properties
Pipeline for probiotics discovery, engineering and manufacturing
Role
Principal Investigator
Supporting Agency
UMass President Office
Performance Period
07/01/2017 – 08/31/2019
Funding
$125,000 Total Costs
Effort
Support for Postdoc only – UMass System Internal Award
Project Goals/Aims
This project investigates the development of synthetically engineered probiotic to cure C.difficile infections
Propane Synthesis by engineered microbial consortia
Role
Co-Investigator
Supporting Agency
UMass Dartmouth Multidisciplinary Seed Funding Program
Performance Period
01/01/2017 – 06/30/2017
Funding
$21,000 Total Costs
Effort
Support for Student only – UMass Dartmouth Internal Award
Project Goals/Aims
Optimization of propane-producing microbial systems through synthetic and metabolic engineering
Leveraging evolution to develop therapeutics against enteropathogenic E. coli
Role
Principal Investigator
Supporting Agency
UMass Dartmouth Multidisciplinary Seed Funding Program
Performance Period
01/01/2016 – 06/30/2016
Funding
$33,000 Total Costs
Effort
Support for Student only – UMass Dartmouth Internal Award
Project Goals/Aims
Experimental evolution experiment to investigate trade-offs between environmental adaptation and survival in the host in enteropathogenic E. coli
ABI Innovation: A new computational framework for the prediction of microbiome dynamics Grant ID 1458347
Role
Principal Investigator
Supporting Agency
National Science Foundation
Performance Period
09/01/2015 – 08/31/2019
Funding
$491,682 Total Costs (Direct and indirect)
Effort
15%, 1.8 calendar months
Project Goals/Aims
The major goal of this project is to develop novel microbiome dynamics prediction open- source software. Research also included model testing and validation using in silico, in vitro experiments, and in vivo and clinical sequencing data
Mathematical modeling from metagenomics - minimizing risk of enteric infections R15 1R15AI112985-01A1
Role
Principal Investigator
Supporting Agency
National Institutes of Health (NIAID)
Performance Period
01/02/2015 – 01/31/2018
Funding
$464,739 Total Costs (Direct and indirect)
Effort
15%, 1.8 calendar months
Project Goals/Aims
The major goal of this project is to develop machine learning methods to predict combinations of gut bacteria protecting from C. difficile and VRE bacteremias
