Author

O. Aasmets

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:metagenomics· 4 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

E. Org· 4 shared K. L. Krigul· 2 shared T. Org· 2 shared A. Fullam· 1 shared A. J. Lusis· 1 shared A. Krag· 1 shared B. O. Schroeder· 1 shared C. Broens· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersMicrobiology

E. Org

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Author profile →

4 papers

Recent·Most cited

Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations

S. Nishijima, E. Stankevic, O. Aasmets, T. S. Schmidt, N. Nagata, M. I. Keller, P. Ferretti, H. Juel, A. Fullam, C. Schudoma, S. M. Robbani, J. K. Hansen, L. A. Holm, M. Israelsen, R. Schierwagen, , P. Bork

This study shows that fecal microbial load, not disease, is the main driver of gut microbiome changes and identifies it as a major confounder in microbiome studies.

bioRxiv · Mar 18, 2024Microbiology

A history of repeated antibiotic usage leads to microbiota-dependent mucus defects

K. L. Krigul, R. H. Feeney, S. Wongkuna, O. Aasmets, S. M. Holmberg, R. Andreson, F. Puertolas-Balint, K. Pantiukh, L. Sootak, T. Org, T. Tenson, E. Org, B. O. Schroeder

This study shows that repeated antibiotic use in humans leads to microbiota changes that impair intestinal mucus function in mice.

bioRxiv · Mar 7, 2024Microbiology

Using fecal immunochemical tubes for the analysis of gut microbiome has potential to improve colorectal cancer screening

K. L. Krigul, O. Aasmets, K. Lull, T. Org, E. Org

This study shows that FIT tubes can be used to analyze gut microbiota for colorectal cancer screening, as microbial communities remain stable for 7 days and similar to fresh-frozen samples.

bioRxiv · Mar 15, 2021Cancer Biology

Machine learning reveals time-varying microbial predictors with complex effects on glucose regulation

O. Aasmets, K. Lüll, J. M. Lang, C. Pan, J. Kuusisto, K. Fischer, M. Laakso, A. J. Lusis, E. Org

This study uses machine learning to identify gut microbiome predictors of glucose regulation and T2D risk using longitudinal data from a Finnish cohort.

bioRxiv · Aug 13, 2020Microbiology