Vanni Bucci

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Professor

UMass Medical School
Country flagUnited States

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About

Professor Vanni Bucci is a faculty member at the University of Massachusetts Medical School, USA. His research predominantly focuses on microbiology, specifically the development and application of narrow-spectrum antibiotics, the interplay between gut microbiota and various diseases, and the utilization of AI in disease detection and microbiome data integration. His recent publications include significant studies on microcins and their effects on pathogens, as well as on the health implications of microbiota in conditions such as Alzheimer's disease and inflammatory bowel disease.

Recent Grants

Grant: Open

Aging Microbiome, Immunosenescence, and risk of Multi-drug Resistant Organism Colonization and Infection in the Nursing Home

Open Date: 2023-02-15

Close Date: 2027-11-30

Grant: Open

Development of targeted microbiome therapeutics and dietary interventions for potent intestinal barrier promotion to minimize GI-ARS

Open Date: 2022-12-22

Close Date: 2027-11-30

Grant: Close

Mathematical Modeling and Synthetic Biology to Discover New ESBL-PE-Eradicating Microbiome-Based Therapeutics

Open Date: 2020-08-01

Close Date: 2023-07-31

Grant: Close

ABI Innovation: A new computational framework for the prediction of microbiome dynamics

Open Date: 2015-09-01

Close Date: 2018-08-31

Grant: Close

Mathematical modeling from metagenomics - minimizing risk of enteric infections

Open Date: 2015-02-05

Close Date: 2018-01-31

Articles (9)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

SARS-CoV-2-positive patients exhibit gut and oral microbiome dysbiosis, which is associated with various aspects of COVID-19 disease (1–4). Here, we aim to identify gut and oral microbiome markers that predict COVID-19 severity in hospitalized patients, specifically severely ill patients compared to moderately ill ones. Moreover, we investigate whether hospital feeding (solid versus enteral), an important cofounder, influences the microbial composition of hospitalized COVID-19 patients. We used random forest classification machine learning models with interpretable secondary analyses. The gut, but not the oral microbiota, was a robust predictor of both COVID-19-related fatality and severity of hospitalized patients, with a higher predictive value than most clinical variables. In addition, perturbations of the gut microbiota due to enteral feeding did not associate with species that were predictive of COVID-19 severity. IMPORTANCE SARS-CoV-2 infection leads to wide-ranging, systemic symptoms with sometimes unpredictable morbidity and mortality. It is increasingly clear that the human microbiome plays an important role in how individuals respond to viral infections. Our study adds to important literature about the associations of gut microbiota and severe COVID-19 illness during the early phase of the pandemic before the availability of vaccines. Increased understanding of the interplay between microbiota and SARS-CoV-2 may lead to innovations in diagnostics, therapies, and clinical predictions.

Year:

2023

Year:

2022

Year:

2022

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2020

Year:

2020

Collaborators (6)

John Haran

Professor

University of Massachusetts Chan Medical School

UNITED STATES
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Jacob Palmer

Assistant Professor

Binghamton University

UNITED STATES
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Ana Maldonado-Contreras

University of Massachusetts Chan Medical School

UNITED STATES
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Barbara Olendzki

Associate Professor

UMass Medical School

UNITED STATES
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Roozbeh Sadeghian

Harrisburg University of Science and Technology

UNITED STATES
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Mark Silby

Associate Professor

University of Massachusetts Dartmouth

UNITED STATES
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