Author

Danuta Cembrowska-Lech

Pomeranian Medical UniversityORCID 0000-0002-1503-0064Unclaimed 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:differential expression· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Igor ŁoniewskiiD· 2 shared Karolina Skonieczna‐ŻydeckaiD· 2 shared Mariusz KaczmarczykiD· 2 shared Agata MuszyńskaiD· 1 shared Anna Wierzbicka-WośiD· 1 shared Beata ŁoniewskaiD· 1 shared Grażyna M. RydzewskaiD· 1 shared Katarzyna KoperaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersMicrobiology

Igor ŁoniewskiORCID

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2 papers

Recent·Most cited

Similar Fecal SCFA Patterns Despite Diverse Gut Microbiota in Polish and Japanese Children During the First Two Years of Life. The longitudinal, comparative, validated study.

Igor Łoniewski, Mariusz Kaczmarczyk, Konrad Podsiadło, Danuta Cembrowska-Lech, Ulrike Löber, Robert Bücking, Karolina Skonieczna‐Żydecka, Sofia Kirke Forslund, Beata Łoniewska

The paper compares gut microbiota and short-chain fatty acid (SCFA) patterns in Polish and Japanese children, finding similar SCFA trajectories despite divergent microbial communities.

bioRxiv · Oct 23, 2025 · PreprintMicrobiology

Gut Microbiome Dynamics and Predictive Value in Hospitalized COVID-19 Patients: A Comparative Analysis of Shallow and Deep Shotgun Sequencing

Katarzyna Kopera, Tomasz Gromowski, Witold Wydmański, Karolina Skonieczna‐Żydecka, Agata Muszyńska, Kinga Zielińska, Anna Wierzbicka-Woś, Mariusz Kaczmarczyk, Roland Kadaj-Lipka, Danuta Cembrowska-Lech, Kornelia Januszkiewicz, Katarzyna Kotfis, Wojciech Witkiewicz, Magdalena Nalewajska, Wiktoria Feret, , Tomasz Kościółek

This study examines gut microbiome changes in hospitalized COVID-19 patients using shallow and deep shotgun sequencing to assess their predictive value for clinical outcomes.

Frontiers in Microbiology · Jun 19, 2024Peer-reviewedBioinformatics