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Dive into the research topics where Henrik Vestergaard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A biological-systems-based analysis using proteomic and metabolic network inference reveals mechanistic insights into hepatic steatosis
Atabaki, N. N., Coral, D. E., Pomares-Millan, H., Smith, K., Behjat, H. H., Koivula, R. W., Tura, A., Miller, H., Pinnick, K., Agudelo, L., Allin, K. H., Brown, A. A., Chabanova, E., Chmura, P. J., Jacobsen, U. P., Dawed, A. Y., Elders, P. J. M., Fernandez-Tajes, J. J., Forgie, I. M. & Haid, M. & 44 others, , May 2026, In: Metabolism: Clinical and Experimental. 178, 156552.Research output: Contribution to journal › Journal article › Research › peer-review
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A gut microbiome-kidney-heart axis predictive of future cardiovascular diseases
Chechi, K., Chakaroun, R., Myridakis, A., Forslund-Startceva, S. K., Fromentin, S., Nielsen, T., Aron-Wisneswky, J., Belda, E., Prifti, E., Lassen, P. B., Falony, G., Vieira-Silva, S., Chilloux, J., Sonomura, K., Hoyles, L., Martinez-Gili, L., Pallotti, F., Andrikopoulos, P., Puig-Castellví, F. & Tapia, R. P. & 55 others, , 5 Mar 2026, In: Nature Communications. 17, 1, 3477.Research output: Contribution to journal › Journal article › Research › peer-review
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Empagliflozin in HNF1A-MODY (MODY3)-a Randomized, Double-Blind, Placebo-Controlled, Crossover Trial
Maagensen, H., Høyerup, S. O., Jensen, J. S., Thuesen, A. C. B., Forman, J. L., Thomsen, H. H., Vestergaard, H., Knop, F. K., Hansen, T., Hædersdal, S., Støy, J. & Vilsbøll, T., 12 Jan 2026, (E-pub ahead of print) In: Diabetes Care.Research output: Contribution to journal › Journal article › Research › peer-review
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A Biological-Systems-Based Analyses Using Proteomic and Metabolic Network Inference Reveals Mechanistic Insights into Hepatic Lipid Accumulation: An IMI-DIRECT Study
Atabaki, N. N., Coral, D. E., Pomares-Millan, H., Smith, K., Behjat, H. H., Koivula, R. W., Tura, A., Miller, H., Pinnick, K., Agudelo, L., Allin, K. H., Brown, A. A., Chabanova, E., Chmura, P. J., Jacobsen, U. P., Dawed, A. Y., Elders, P. J. M., Fernandez-Tajes, J. J., Forgie, I. M. & Haid, M. & 44 others, , 2 Jun 2025, (medRxiv).Research output: Working paper › Preprint
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Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study
Howey, R., Adam, J., Adamski, J., Atabaki, N. N., Brunak, S., Chmura, P. J., De Masi, F., Dermitzakis, E. T., Fernandez-Tajes, J. J., Forgie, I. M., Franks, P. W., Giordano, G. N., Haid, M., Hansen, T., Hansen, T. H., Harms, P. P., Hattersley, A. T., Hong, M.-G., Jacobsen, U. P. & Jones, A. G. & 20 others, , Jul 2025, In: P L o S Genetics. 21, 7, p. e1011776 e1011776.Research output: Contribution to journal › Journal article › Research › peer-review