Author

Tingting Wang

University of CopenhagenORCID 0000-0002-9100-3447Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tingting Wang3 papers · Shanghai Medical College of Fudan University

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metabolomics· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo ChawesiD· 2 shared Anders BrunseiD· 1 shared Anna Hammerich ThyseniD· 1 shared Björn KlabundeiD· 1 shared Duc Ninh Nguyen· 1 shared Iva ŠunićiD· 1 shared Jakob StokholmiD· 1 shared Jessica Ann Lasky-SuiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

Bo ChawesORCID

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2 papers

Recent·Most cited

Harnessing systemic glycolysis-TCA cycle axis to boost the host defense against newborn infection

Ziyuan Wu, Nguyen Tran Nam Tien, Björn Klabunde, Karoline Aasmul‐Olsen, Simone Margaard Offersen, Nguyen Thi Hai Yen, Tik Muk, Anna Hammerich Thysen, Susanne Brix, Nicklas Brustad, Tingting Wang, Jakob Stokholm, Klaus Bønnelykke, Anders Brunse, Nguyen Phuoc Long, , Duc Ninh Nguyen

The paper shows that boosting TCA cycle activity through nutritional strategies improves neonatal host defense against infection by enhancing disease tolerance and resistance.

bioRxiv · Apr 23, 2025 · PreprintImmunology

A chemical structure and machine learning approach to assess the potential bioactivity of endogenous metabolites and their association with early-childhood hs-CRP levels

Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, Iva Šunić, Kristina Časni, Jessica Ann Lasky-Su, Bo Chawes, Morten Arendt Rasmussen

The paper uses metabolomics and machine learning to identify metabolites associated with early childhood hs-CRP levels, finding 52 metabolites with potential bioactivity linked to systemic inflammation.

bioRxiv · Nov 15, 2023 · PreprintBioinformatics