Author

Oscar Silfvergren

Linköping UniversityORCID 0000-0002-5791-0262Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:metabolomics· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Christian SimonssoniD· 4 shared Gunnar CedersundiD· 4 shared Peter GennemarkiD· 3 shared Burçak YesildagiD· 2 shared Felix Forschler· 2 shared Kajsa P. KanebrattiD· 2 shared Katharina M. S. SchimekiD· 2 shared Liisa K. ViléniD· 2 shared

Activity by Year

2022-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersSystems Biology

Christian SimonssonORCID

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Author profile →

4 papers

Recent·Most cited

A Mathematical Model of Dietary Lipid Absorption and Postprandial Chylomicron Dynamics

Christian Simonsson, Oscar Silfvergren, Henrik Podéus, Kajsa Tunedal, William Lövfors, Karin G. Stenkula, Elin Nyman, Gunnar Cedersund

This paper develops a mathematical model of chylomicron dynamics incorporating the second meal effect, showing it can predict postprandial lipid responses across different BMI values.

Metabolism Open · Oct 1, 2026Peer-reviewedSystems Biology

M4 drug discovery: human drug predictions from integrated preclinical insights exemplified with a GLP1-R agonist

Oscar Silfvergren, Sophie Rigal, Katharina M. S. Schimek, Christian Simonsson, Kajsa P. Kanebratt, Felix Forschler, Burçak Yesildag, Uwe Marx, Liisa K. Vilén, Peter Gennemark, Gunnar Cedersund

The paper introduces M4 drug discovery, a method that integrates multi-level, multi-timescale, and multi-species data with mechanistic knowledge to predict clinical outcomes of drugs like GLP-1RAs from preclinical data.

European Journal of Pharmaceutical Sciences · Aug 30, 2026Peer-reviewedSystems Biology

An Integrated Analysis of GLP-1R Agonist Mechanisms: Addressing Study Variations in Heterogeneous Cell Systems

Oscar Silfvergren, Sophie Rigal, Katharina M. S. Schimek, Christian Simonsson, Kajsa P. Kanebratt, Felix Forschler, Burçak Yesildag, Uwe Marx, Liisa K. Vilén, Peter Gennemark, Gunnar Cedersund

This paper integrates GLP-1RA exenatide studies across heterogeneous cell systems to address variability, providing a unified conclusion and predicting inter-study variabilities.

bioRxiv · Mar 27, 2026 · PreprintSystems Biology

Digital twin predicting diet response before and after long-term fasting

Oscar Silfvergren, Christian Simonsson, Mattias Ekstedt, Peter Lundberg, Peter Gennemark, Gunnar Cedersund

The paper introduces a digital twin model that predicts diet response and metabolic changes before and after fasting by integrating clinical data and mechanistic models.

PLoS Computational Biology · Sep 12, 2022Peer-reviewedSystems Biology