Infectious Disease and Microbiome Program, Infectious Disease and Microbiome

Coffee and Tea Intake, Dementia Risk, and Cognitive Function.

Zhang Y, Liu Y, Li Y, et al. Coffee and Tea Intake, Dementia Risk, and Cognitive Function. JAMA. 2026. doi:10.1001/jama.2025.27259PubMed DOI Google Scholar

An anaerobic pathogen rewires host metabolism to fuel oxidative growth in the inflamed gut.

Spiga L, Fansler RT, Wu Y, et al. An anaerobic pathogen rewires host metabolism to fuel oxidative growth in the inflamed gut. Cell. 2026. doi:10.1016/j.cell.2026.04.012PubMed DOI Google Scholar

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Rolando JC, Thieme A, Weckman NE, et al. Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations. Nature biomedical engineering. 2026. doi:10.1038/s41551-025-01597-0PubMed DOI Google Scholar

Intelectin-2 is a broad-spectrum antimicrobial lectin.

Dugan AE, Syangtan D, Nonnecke EB, et al. Intelectin-2 is a broad-spectrum antimicrobial lectin. Nature communications. 2026;17(1):231. doi:10.1038/s41467-025-67099-4PubMed DOI Google Scholar

An infant nasal microbial gene atlas uncovers intervention-driven microbiome shifts and salt-resistant pathogen expansion.

Steinberg R, Pust MM, Arias-Rojas A, et al. An infant nasal microbial gene atlas uncovers intervention-driven microbiome shifts and salt-resistant pathogen expansion. Cell host & microbe. 2026. doi:10.1016/j.chom.2026.03.019PubMed DOI Google Scholar

Large-Scale Chemical-Genetic Interaction Profiling Identifies a Small-Molecule Inhibitor of Mycobacterium tuberculosis Polyketide Synthase 13

Gomez JE, Solomon MY, Hunt DK, et al. Large-Scale Chemical-Genetic Interaction Profiling Identifies a Small-Molecule Inhibitor of Mycobacterium tuberculosis Polyketide Synthase 13. ACS infectious diseases. 2026. doi:10.1021/acsinfecdis.6c00136PubMed DOI Google Scholar

Identifying microbial protease allergens through protein language model-guided homology.

Thurimella K, Wu E, Li C, et al. Identifying microbial protease allergens through protein language model-guided homology. Cell systems. 2026:101510. doi:10.1016/j.cels.2025.101510PubMed DOI Google Scholar

Microbiota-mediated induction of beige adipocytes in response to dietary cues.

Tanoue T, Nagayama M, Roochana AJA, et al. Microbiota-mediated induction of beige adipocytes in response to dietary cues. Nature. 2026. doi:10.1038/s41586-026-10205-3PubMed DOI Google Scholar

Unravelling bacterial complexity at high resolution with single-cell transcriptomics.

Clatworthy AE, DiNatale VP, Burgos-Robles E, Lopes F, Smillie C, Hung DT. Unravelling bacterial complexity at high resolution with single-cell transcriptomics. Nature microbiology. 2026. doi:10.1038/s41564-026-02333-3PubMed DOI Google Scholar

Population genomics of Anopheles darlingi, the principal South American malaria vector mosquito.

Tennessen JA, Brosula R, Chabanol E, et al. Population genomics of Anopheles darlingi, the principal South American malaria vector mosquito. Science (New York, N.Y.). 2026;391(6792):1373-1378. doi:10.1126/science.adw9761PubMed DOI Google Scholar