Author

Bruce R. Hamaker

Purdue University West LafayetteORCID 0000-0001-6591-942XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

ALAN L. LANDAYiD· 2 shared Ali KeshavarzianiD· 2 shared Thaisa M. Cantu-JunglesiD· 2 shared Arezoo M. ArdekaniiD· 1 shared Bin ZhangiD· 1 shared Corey Neumann· 1 shared Ellen Zhang· 1 shared Frank Joseph PalellaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersMicrobiology

ALAN L. LANDAYORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJul 10, 2026

Senescence-associated loss of intestinal α1,2-fucose disrupts a modifiable host-microbiome homeostasis axis in people with HIV

Leila B. Giron, Maliha W. Shaikh, Thaisa M. Cantu-Jungles…·Mohamed Abdel‐Mohsen

This study identifies loss of intestinal 1,2-fucose in HIV-treated individuals as a modifiable host-microbiome mechanism linked to inflammation, barrier dysfunction, and aging.

DOI 10.64898/2026.07.09.736798

humanmetagenomics

𝕏 PostBluesky

BioinformaticsBMC MicrobiologyPeer-reviewedJun 5, 2025

Machine learning-based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases

Miad Boodaghidizaji, Thaisa M. Cantu-Jungles, Tingting Chen…·Arezoo M. Ardekani

This study uses machine learning to classify chronic inflammatory diseases based on gut microbiota patterns and response to fiber, achieving up to 95% accuracy in distinguishing between conditions with overlapping dysbiosis.

12 citations

humanmetagenomics

𝕏 PostBluesky