Author

Mariana Teixeira Dias

Utrecht UniversityORCID 0009-0000-4310-8933Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam J. BindasiD· 1 shared Aline Marie FernandesiD· 1 shared Celia R. BerkersiD· 1 shared David Giron-VillalobosiD· 1 shared Jeroen W. A. JanseniD· 1 shared Jerry Mark WellsiD· 1 shared Jolanda K. BronsiD· 1 shared Justin J. J. van der HooftiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Adam J. BindasORCID

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintAug 30, 2026

Metabolite co-variation networks reveal keystone functions and an emergent pathogen state in the human urobiome.

Larissa Della Vedova, Adam J. Bindas, Mariana Teixeira Dias…·Justin J. J. van der Hooft

This paper uses metabolomics co-variation networks to analyze urobiome-pathogen interactions, identifying keystone species and emergent pathogen states in a synthetic urobiome model.

DOI 10.64898/2026.08.29.748013

humanmetabolomics

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