Author

Marco Gelpi

Copenhagen University HospitalORCID 0000-0002-2730-4376Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andreas Dehlbæk KnudseniD· 2 shared Flora MikaeloffiD· 2 shared Julie HøghiD· 2 shared Thomas BenfieldiD· 2 shared Ujjwal NeogiiD· 2 shared Adil MardinoğluiD· 1 shared Ákos VégváriiD· 1 shared Alejandra EscósiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersSystems Biology

Andreas Dehlbæk KnudsenORCID

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Author profile →

2 papers

Recent·Most cited

Altered Glycolysis TCA Anaplerosis Axis Impairs Monocyte Migration and Trains Macrophage Polarization in Long-term Treated HIV Infection

Alejandra Escós, Anoop T. Ambikan, Sabrina Schulster, Sara Svensson Akusjärvi, Marco Gelpi, Siavash Mansouri, Prajakta Naval, Ronaldo Lira‐Junior, Vikas Sood, Andreas Dehlbæk Knudsen, Pratik P Pathade, Flora Mikaeloff, Julie Høgh, Magda Lourda, Jan Vesterbacka, , Ujjwal Neogi

The paper identifies metabolic reprogramming in HIV-treated individuals that impairs monocyte migration and promotes M2-like macrophage polarization, enhancing HIV susceptibility.

bioRxiv · Jan 15, 2025 · PreprintSystems Biology

Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection

Flora Mikaeloff, Marco Gelpi, Rui Benfeitas, Andreas Dehlbæk Knudsen, Beate Vestad, Julie Høgh, Johannes R. Hov, Thomas Benfield, Daniel D. Murray, Christian G. Giske, Adil Mardinoğlu, Marius Trøseid, Susanne Dam Nielsen, Ujjwal Neogi

The paper identifies three metabolic at-risk profiles in HIV-treated patients using multi-omics integration, highlighting dysregulated metabolism and microbiome interactions.

eLife · Feb 16, 2023Peer-reviewedBioinformatics