Last update: 22/07/2026

Complete chronological list of publications, newest first. For a view organised by research theme, see the main publications page.

Journal articles

1. F. Mikaeloff, M. Gelpi, A. Escós, T. Wang, S. Gupta, A. Olofsson, S. Svensson Akusjärvi, S. Schuster, P. Naval, V. Sood, N. Nikouyan, A. D. Knudsen, B. Vestad, J. Høgh, J. R. Hov, T. Benfield, M. Trøseid, V. Pawar, M. Rucevic, R. Benfeitas, Á. Végvári, L. O’Mahony, R. Savai, N. K. Björkström, M. Lourda, J. P. de Magalhães, S. Weiss, A. Mardinoglu, M. K. Varshney, A. C. Karlsson, Y. A. Syed, S. D. Nielsen, U. Neogi. 2025. “Host Plasma Microenvironment in Immunometabolically Impaired HIV Infection Leads to Dysregulated Monocyte Function and Synaptic Transmission Ex Vivo.” Advanced Science 12(16):2416453. doi:10.1002/advs.202416453
2. L. E. M. Brandão, L. Zhang, A. Grip, M.-G. Hong, E. Kåks, R. Benfeitas, F. Sigurdardottir, K. Blennow, H. Zetterberg, D. Espes, T. Omland, P. Emami Khoonsari, C. Benedict, J. Cedernaes. 2025. “The overlooked trio: sleep duration, sampling time and physical exercise alter levels of Olink-assessed blood biomarkers of cardiovascular risk.” Biomarker Research 13(1):67. doi:10.1186/s40364-025-00776-0
3. M. Govoni, M. Bassi, L. Girardello, G. Lucci, F. Rony, R. Charretier, D. Galkin, M. L. Faietti, B. Pioselli, G. Modafferi, R. Benfeitas, M. Bonatti, D. Miglietta, J. Clark, F. Pedersen, A.-M. Kirsten, K.-M. Beeh, O. Kornmann, S. Korn, A. Ludwig-Sengpiel, H. Watz. 2024. “CHF6523 data suggest that the phosphoinositide 3-kinase delta isoform is not a suitable target for the management of COPD.” Respiratory Research 25(1):380. doi:10.1186/s12931-024-02999-5
4. V. Martins Dos Santos, M. Anton, B. Szomolay, M. Ostaszewski, I. Arts, R. Benfeitas, et al. 2024. “Systems Biology in ELIXIR: modelling in the spotlight.” F1000Research 11:ELIXIR-1265. F1000Research
5. E. Kronander, J. Lindvall, N. Norgren, L. Vasquez, M. Anton, D. Bampalikis, R. Benfeitas, et al. 2024. “NBIS training report 2022–2023.” F1000Research 13:900. F1000Research
6. F. Mikaeloff, M. Gelpi, R. Benfeitas, A. D. Knudsen, B. Vestad, J. Høgh, J. R. Hov, T. Benfield, D. D. Murray, C. G. Giske, A. Mardinoglu, M. Trøseid, S. D. Nielsen, U. Neogi. 2023. “Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection.” eLife 12:e82785. doi:10.7554/eLife.82785
7. A. T. Ambikan, N. Elaldi, S. Svensson-Akusjärvi, B. Bagci, A. N. Pektas, R. Hewson, … R. Benfeitas, … U. Neogi. 2023. “Systems-level temporal immune-metabolic profile in Crimean-Congo hemorrhagic fever virus infection.” Proceedings of the National Academy of Sciences 120(37):e2304722120. doi:10.1073/pnas.2304722120
8. F. B. Gunnarsdottir, P.-O. Bendahl, A. Johansson, R. Benfeitas, L. Rydén, C. Bergenfelz, A.-M. Larsson. 2023. “Serum immuno-oncology markers carry independent prognostic information in patients with newly diagnosed metastatic breast cancer, from a prospective observational study.” Breast Cancer Research 25(1):29. doi:10.1186/s13058-023-01631-6
9. A. T. Ambikan, H. Yang, S. Krishnan, S. Svensson Akusjärvi, S. Gupta, M. Lourda, M. Sperk, M. Arif, C. Zhang, H. Nordqvist, S. M. Ponnan, A. Sönnerborg, C. J. Treutiger, L. O’Mahony, A. Mardinoglu, R. Benfeitas, U. Neogi. 2022. “Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity.” Cell Systems 13(8):665–681.e4. doi:10.1016/j.cels.2022.06.006
10. U. Neogi, N. Elaldi, S. Appelberg, A. T. Ambikan, E. Kennedy, S. Dowall, B. K. Bagci, S. Gupta, J. E. Rodriguez, S. Svensson-Akusjärvi, V. M. Monteil, Á. Végvári, R. Benfeitas, A. C. Banerjea, F. Weber, R. Hewson, A. Mirazimi. 2022. “Multi-omics insights into host-viral response and pathogenesis in Crimean-Congo hemorrhagic fever viruses for novel therapeutic target.” eLife 11:e76071. doi:10.7554/eLife.76071
11. F. Mikaeloff, S. Svensson Akusjärvi, G. M. Ikomey, S. Krishnan, M. Sperk, S. Gupta, G. D. V. Magdaleno, A. Escós, E. Lyonga, M. C. Okomo, C. T. Tagne, H. Babu, C. L. Lorson, Á. Végvári, A. C. Banerjea, J. Kele, L. E. Hanna, K. Singh, J. P. de Magalhães, R. Benfeitas, U. Neogi. 2022. “Trans cohort metabolic reprogramming towards glutaminolysis in long-term successfully treated HIV-infection.” Communications Biology 5(1):27. doi:10.1038/s42003-021-02985-3
12. B. S. Song, J. S. Moon, J. Tian, H. Y. Lee, B. C. Sim, S. H. Kim, S. G. Kang, J. T. Kim, H. T. Nga, R. Benfeitas, Y. Kim, S. Park, R. R. Wolfe, H. S. Eun, M. Shong, S. Lee, I. Y. Kim, H. S. Yi. 2022. “Mitoribosomal defects aggravate liver cancer via aberrant glycolytic flux and T cell exhaustion.” Journal for ImmunoTherapy of Cancer 10(5):e004337. doi:10.1136/jitc-2021-004337
13. E. Mohammadi, M. Tahmoorespur, R. Benfeitas, O. Altay, A. Javadmanesh, S. Lam, A. Mardinoglu, M. H. Sekhavati. 2022. “Improvement of the performance of anticancer peptides using a drug repositioning pipeline.” Biotechnology Journal 17(1):2100417. doi:10.1002/biot.202100417
14. A. T. Ambikan, S. Svensson-Akusjärvi, S. Krishnan, M. Sperk, P. Nowak, J. Vesterbacka, A. Sönnerborg, R. Benfeitas, U. Neogi. 2022. “Genome-scale metabolic models for natural and long-term drug-induced viral control in HIV infection.” Life Science Alliance 5(9):e202201405. doi:10.26508/lsa.202201405
15. S. Bauer, L. Dittrich, L. Kaczmarczyk, M. Schleif, R. Benfeitas, W. S. Jackson. 2022. “Translatome profiling in fatal familial insomnia implicates TOR signaling in somatostatin neurons.” Life Science Alliance 5(11):e202201530. doi:10.26508/lsa.202201530
16. M. Anton, R. Benfeitas, J. M. Lindvall, N. Norgren, B. Persson. 2022. “NBIS Training Report 2020–2021.” F1000Research 11:618. F1000Research
17. S. O. Villumsen, R. Benfeitas, A. D. Knudsen, M. Gelpi, J. Høgh, M. T. Thomsen, D. Murray, H. Ullum, U. Neogi, S. D. Nielsen. 2022. “Integrative lipidomics and metabolomics for system-level understanding of the metabolic syndrome in long-term treated HIV-infected individuals.” Frontiers in Immunology 12:742736. doi:10.3389/fimmu.2021.742736
18. M. Arif, M. Klevstig, R. Benfeitas, S. Doran, H. Turkez, M. Uhlén, M. Clausen, J. Wikström, D. Etal, C. Zhang, M. Levin, A. Mardinoglu, J. Boren. 2021. “Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction.” eLife 10:e66921. doi:10.7554/eLife.66921
19. M. Gelpi, F. Mikaeloff, A. D. Knudsen, R. Benfeitas, S. Krishnan, J. Høgh, D. D. Murray, H. Ullum, U. Neogi, S. D. Nielsen. 2021. “The central role of the glutamate metabolism in long-term antiretroviral treated HIV-infected individuals with metabolic syndrome.” Aging 13(19):22732. doi:10.18632/aging.203622
20. S. Lam, N. Hartmann, R. Benfeitas, C. Zhang, M. Arif, H. Turkez, M. Uhlén, C. Englert, R. Knight, A. Mardinoglu. 2021. “Systems analysis reveals ageing-related perturbations in retinoids and sex hormones in Alzheimer’s and Parkinson’s diseases.” Biomedicines 9(10):1310. doi:10.3390/biomedicines9101310
21. S. Krishnan, H. Nordqvist, A. T. Ambikan, S. Gupta, M. Sperk, S. Svensson-Akusjärvi, F. Mikaeloff, R. Benfeitas, E. Saccon, S. M. Ponnan, J. E. Rodriguez, N. Nikouyan, A. Odeh, G. Ahlen, M. Asghar, M. Sällberg, J. Vesterbacka, P. Nowak, Á. Végvári, A. Sönnerborg, C. J. Treutiger, U. Neogi. 2021. “Metabolic perturbation associated with COVID-19 disease severity and SARS-CoV-2 replication.” Molecular & Cellular Proteomics 20:100159. doi:10.1016/j.mcpro.2021.100159
22. H. Haytural, R. Benfeitas, S. Schedin-Weiss, E. Bereczki, M. Rezeli, R. D. Unwin, X. Wang, E. B. Dammer, E. C. B. Johnson, N. T. Seyfried, B. Winblad, B. M. Tijms, P. J. Visser, S. Frykman, L. O. Tjernberg. 2021. “Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis.” Scientific Data 8:312. doi:10.1038/s41597-021-01090-8
23. C. Zhang, E. Bjornson, M. Arif, A. Tebani, A. Lovric, R. Benfeitas, M. Ozcan, K. Juszczak, W. Kim, J. T. Kim, G. Bidkhori, M. Ståhlman, P. Bergh, M. Adiels, H. Turkez, M. Taskinen, J. Bosley, H. Marschall, J. Nielsen, M. Uhlén, J. Borén, A. Mardinoglu. 2020. “The Acute Effect of Metabolic Cofactor Supplementation: A Potential Therapeutic Strategy against Non-alcoholic Fatty Liver Disease.” Molecular Systems Biology 16(4):e9495. doi:10.15252/msb.20209495
24. S. Appelberg, S. Gupta, S. S. Akusjärvi, A. T. Ambikan, F. Mikaeloff, E. Saccon, Á. Végvári, R. Benfeitas, M. Sperk, M. Ståhlberg, S. Krishnan, K. Singh, J. M. Penninger, A. Mirazimi, U. Neogi. 2020. “Dysregulation in Akt/MTOR/HIF-1 Signaling Identified by Proteo-Transcriptomics of SARS-CoV-2 Infected Cells.” Emerging Microbes & Infections 9(1):1748–1760. doi:10.1080/22221751.2020.1799723
25. E. Mohammadi, R. Benfeitas, H. Turkez, J. Boren, J. Nielsen, M. Uhlen, A. Mardinoglu. 2020. “Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning.” Cancers 12(9):2694. doi:10.3390/cancers12092694
26. N. Acevedo, R. Benfeitas, S. Katayama, S. Bruhn, A. Andersson, G. Wikberg, L. Lundeberg, J. M. Lindvall, D. Greco, J. Kere, C. Söderhäll, A. Scheynius. 2020. “Epigenetic Alterations in Skin Homing CD4+CLA+ T Cells of Atopic Dermatitis Patients.” Scientific Reports 10(1):18020. doi:10.1038/s41598-020-74798-z
27. R. Benfeitas, G. Bidkhori, B. Mukhopadhyay, M. Klevstig, M. Arif, C. Zhang, S. Lee, R. Cinar, J. Nielsen, M. Uhlen, J. Boren, G. Kunos, A. Mardinoglu. 2019. “Characterization of Heterogeneous Redox Responses in Hepatocellular Carcinoma Patients Using Network Analysis.” EBioMedicine 40:471–487. doi:10.1016/j.ebiom.2018.12.057
28. B. Turanli, C. Zhang, W. Kim, R. Benfeitas, M. Uhlen, K. Y. Arga, A. Mardinoglu. 2019. “Discovery of Therapeutic Agents for Prostate Cancer Using Genome-Scale Metabolic Modeling and Drug Repositioning.” EBioMedicine 42:386–396. doi:10.1016/j.ebiom.2019.03.009
29. S. Lee, C. Zhang, M. Arif, Z. Liu, R. Benfeitas, G. Bidkhori, S. Deshmukh, M. Al Shobky, A. Lovric, J. Boren, J. Nielsen, M. Uhlen, A. Mardinoglu. 2018. “TCSBN: A Database of Tissue and Cancer Specific Biological Networks.” Nucleic Acids Research 46(D1):D595–D600. doi:10.1093/nar/gkx994
30. D. Rosario, R. Benfeitas, G. Bidkhori, C. Zhang, M. Uhlen, S. Shoaie, A. Mardinoglu. 2018. “Understanding the Representative Gut Microbiota Dysbiosis in Metformin-Treated Type 2 Diabetes Patients Using Genome-Scale Metabolic Modeling.” Frontiers in Physiology 9:775. doi:10.3389/fphys.2018.00775
31. G. Bidkhori, R. Benfeitas, E. Elmas, M. N. Kararoudi, M. Arif, M. Uhlen, J. Nielsen, A. Mardinoglu. 2018. “Metabolic Network-Based Identification and Prioritization of Anticancer Targets Based on Expression Data in Hepatocellular Carcinoma.” Frontiers in Physiology 9:916. doi:10.3389/fphys.2018.00916
32. C. Zhang, G. Bidkhori, R. Benfeitas, S. Lee, M. Arif, M. Uhlén, A. Mardinoglu. 2018. “ESS: A Tool for Genome-Scale Quantification of Essentiality Score for Reaction/Genes in Constraint-Based Modeling.” Frontiers in Physiology 9:1355. doi:10.3389/fphys.2018.01355
33. A. Lovric, M. Granér, E. Bjornson, M. Arif, R. Benfeitas, K. Nyman, M. Ståhlman, M. O. Pentikäinen, J. Lundbom, A. Hakkarainen, R. Sirén, M. S. Nieminen, N. Lundbom, K. Lauerma, M. R. Taskinen, A. Mardinoglu, J. Boren. 2018. “Characterization of Different Fat Depots in NAFLD Using Inflammation-Associated Proteome, Lipidome and Metabolome.” Scientific Reports 8(1):14200. doi:10.1038/s41598-018-31865-w
34. G. Bidkhori, R. Benfeitas, M. Klevstig, C. Zhang, J. Nielsen, M. Uhlen, J. Boren, A. Mardinoglu. 2018. “Metabolic Network-Based Stratification of Hepatocellular Carcinoma Reveals Three Distinct Tumor Subtypes.” Proceedings of the National Academy of Sciences 115(50):E11874–E11883. doi:10.1073/pnas.1807305115
35. R. Benfeitas, M. Uhlen, J. Nielsen, A. Mardinoglu. 2017. “New Challenges to Study Heterogeneity in Cancer Redox Metabolism.” Frontiers in Cell and Developmental Biology 5:65. doi:10.3389/fcell.2017.00065
36. M. Uhlen, C. Zhang, S. Lee, E. Sjöstedt, L. Fagerberg, G. Bidkhori, R. Benfeitas, M. Arif, Z. Liu, F. Edfors, K. Sanli, K. von Feilitzen, P. Oksvold, E. Lundberg, S. Hober, P. Nilsson, J. Mattsson, J. M. Schwenk, H. Brunnström, B. Glimelius, T. Sjöblom, P.-H. Edqvist, D. Djureinovic, P. Micke, C. Lindskog, A. Mardinoglu, F. Ponten. 2017. “A Pathology Atlas of the Human Cancer Transcriptome.” Science 357(6352):eaan2507. doi:10.1126/science.aan2507
37. J. Comas, R. Benfeitas, E. Vilaprinyo, A. Sorribas, F. Solsona, G. Farré, J. Berman, U. Zorrilla, T. Capell, G. Sandmann, C. Zhu, P. Christou, R. Alves. 2016. “Identification of Line-Specific Strategies for Improving Carotenoid Production in Synthetic Maize through Data-Driven Mathematical Modeling.” The Plant Journal 87(5):455–471. doi:10.1111/tpj.13210
38. R. Benfeitas, G. Selvaggio, F. Antunes, P. M. B. M. Coelho, A. Salvador. 2014. “Hydrogen Peroxide Metabolism and Sensing in Human Erythrocytes: A Validated Kinetic Model and Reappraisal of the Role of Peroxiredoxin II.” Free Radical Biology & Medicine 74:35–49. doi:10.1016/j.freeradbiomed.2014.06.007

Pre-prints

1. M. Anton, E. Almaas, R. Benfeitas, S. Benito-Vaquerizo, L. M. Blank, A. Dräger, et al. 2023. “standard-GEM: standardization of open-source genome-scale metabolic models.” bioRxiv. bioRxiv (preprint)
2. C. Zhang, S. Lee, G. Bidkhori, R. Benfeitas, A. Lovric, S. Chen, M. Uhlen, J. Nielsen, A. Mardinoglu. 2019. “RMetD2: A Tool for Integration of Relative Transcriptomics Data into Genome-Scale Metabolic Models.” bioRxiv 663096. bioRxiv (preprint)

Conference presentations

1. R. Benfeitas, et al. 2025. “Seralutinib targets fibrotic pathways in IPF: Evidence from single-cell transcriptomics.” Oral presentation, ERS Congress 2025. Eur. Respir. J. 66(Suppl. 69):OA1201. abstract (conference presentation)
2. R. Benfeitas, F. Facchinetti, M. Govoni. 2023. “An endothelial cell subtype is linked with altered Rho-kinase (ROCK)-associated pathways in PAH.” Oral communication, ERS Congress 2023. abstract (conference presentation)